system

Abstract

To provide a system that can improve the efficiency of requests for housekeeping services and selection of contractors, and solve conventional problems. [Solution] The system includes a user input means for the user to input the request details and desired date and time, a server means for receiving the input data from the user input means and saving it in a database, a selection means for the server means to retrieve information on housekeeping agents from the database and select the agent that best suits the request, a notification means for sending a request notification to the agent selected by the selection means and receiving a response from the agent, a confirmation notification means for sending a confirmation notification from the notification means to the user terminal, a progress management means for managing the agent's work progress and notifying the user and the server, a feedback means for the user to input an evaluation after the work is completed, and a storage means for saving the evaluation data from the feedback means in a database and using it to select an agent in the future.

Description

[Technical Field]

[0001] The technology of the present disclosure relates to a system. [Background technology]

[0002] Patent document 1 discloses a persona chatbot control method performed by at least one processor, the method including the steps of receiving a user utterance, adding the user utterance to a prompt including an instruction sentence related to a description of the chatbot character, encoding the prompt, and inputting the encoded prompt into a language model to generate a chatbot utterance in response to the user utterance. [Prior art documents] [Patent documents]

[0003] [Patent Document 1] Japanese Patent Publication No. 2022-180282 Summary of the Invention [Problem to be solved by the invention]

[0004] The traditional process of requesting a housekeeping service involves a lot of face-to-face interaction between the user and the service provider, which can be time-consuming and laborious. Furthermore, when selecting a service provider, users must compare and select the best one themselves, which can make it difficult to choose the most suitable one. As a result, using housekeeping services is complicated, which has hindered their widespread adoption. [Means for solving the problem]

[0005] The present invention provides a system that includes a user input means for a user to input the details of a request and a desired date and time, and a server means for receiving this information. The server means also includes a selection means for retrieving information on housekeeping service providers from a database and selecting the provider best suited to the request. The selection means selects the best provider using an AI algorithm that takes into account the provider's ratings, past performance, and availability. The system also includes a notification means for sending a notification to the selected provider and receiving a response from the provider, and a confirmation notification means for sending a confirmation notification to the user's terminal. The system also includes a progress management means for managing the progress of work, a feedback means for the user to input a rating after the work is completed, and a storage means for saving the rating data in a database and utilizing it for future selections. This improves the efficiency of housekeeping service requests and provider selection, solving existing problems.

[0006] The "user input means" is a means for the user to input the details of the request for housekeeping services and the desired date and time.

[0007] The "server means" is a means for receiving input data from a user input means and storing the data in a database.

[0008] The "selection means" is a means by which the server means obtains information on housekeeping agents from the database and selects the agent that best suits the user's request.

[0009] The "notification means" is a means for sending a request notification to the trader selected by the selection means and receiving a response from the trader.

[0010] The "determination notification means" is a means for transmitting the determination notification from the notification means to the user terminal.

[0011] The "progress management means" is a means for managing the work progress of the contractor and notifying the user and the server.

[0012] The "feedback means" is a means for the user to input an evaluation after completing a task.

[0013] The "storage means" is a means for storing the evaluation data from the feedback means in a database and using it for future contractor selection.

[0014] The "AI algorithm" is an algorithm that selects the most suitable contractor based on contractor ratings, past performance, and availability. [Brief explanation of the drawings]

[0015] [Figure 1] 1 is a conceptual diagram showing an example of the configuration of a data processing system according to a first embodiment. [Figure 2] 1 is a conceptual diagram showing an example of main functions of a data processing device and a smart device according to a first embodiment. [Figure 3] FIG. 10 is a conceptual diagram showing an example of the configuration of a data processing system according to a second embodiment. [Figure 4] FIG. 10 is a conceptual diagram showing an example of main functions of a data processing device and smart glasses according to a second embodiment. [Figure 5] FIG. 10 is a conceptual diagram showing an example of the configuration of a data processing system according to a third embodiment. [Figure 6] FIG. 11 is a conceptual diagram showing an example of main functions of a data processing device and a headset-type terminal according to a third embodiment. [Figure 7] FIG. 10 is a conceptual diagram showing an example of the configuration of a data processing system according to a fourth embodiment. [Figure 8] FIG. 10 is a conceptual diagram showing an example of main functions of a data processing device and a robot according to a fourth embodiment. [Figure 9] 1 shows an emotion map onto which multiple emotions are mapped. [Figure 10] 1 shows an emotion map onto which multiple emotions are mapped. [Figure 11] FIG. 3 is a sequence diagram showing a processing flow of the data processing system according to the first embodiment. [Figure 12] FIG. 10 is a sequence diagram showing the flow of processing in the data processing system in Application Example 1. [Figure 13]FIG. 10 is a sequence diagram showing the flow of processing in the data processing system according to the second embodiment when an emotion engine is combined. [Figure 14] FIG. 10 is a sequence diagram showing the flow of processing in the data processing system in Application Example 2 when an emotion engine is combined. DETAILED DESCRIPTION OF THE INVENTION

[0016] An example of an embodiment of a system according to the technology of the present disclosure will be described below with reference to the accompanying drawings.

[0017] First, the terms used in the following description will be explained.

[0018] In the following embodiments, a coded processor (hereinafter simply referred to as a "processor") may be a single arithmetic device or a combination of multiple arithmetic devices. Furthermore, a processor may be a single type of arithmetic device or a combination of multiple types of arithmetic devices. Examples of arithmetic devices include a CPU (Central Processing Unit), a GPU (Graphics Processing Unit), a GPGPU (General-Purpose computing on Graphics Processing Units), and an APU (Accelerated Processing Unit).

[0019] In the following embodiments, a coded RAM (Random Access Memory) is a memory in which information is temporarily stored and is used as a working memory by a processor.

[0020] In the following embodiments, the coded storage is one or more non-volatile storage devices that store various programs, various parameters, etc. Examples of non-volatile storage devices include flash memory (SSD (Solid State Drive)), magnetic disks (e.g., hard disks), and magnetic tapes.

[0021] In the following embodiments, a communication I / F (Interface) with a symbol is an interface including a communication processor, an antenna, etc. The communication I / F controls communication between multiple computers. Examples of communication standards applied to the communication I / F include wireless communication standards including 5G (5th Generation Mobile Communication System), Wi-Fi (registered trademark), Bluetooth (registered trademark), etc.

[0022] In the following embodiments, "A and / or B" is synonymous with "at least one of A and B." In other words, "A and / or B" means that it may be only A, only B, or a combination of A and B. Furthermore, in this specification, the same concept as "A and / or B" is also applied when three or more things are expressed connected by "and / or."

[0023] [First embodiment]

[0024] FIG. 1 shows an example of the configuration of a data processing system 10 according to the first embodiment.

[0025] 1, a data processing system 10 includes a data processing device 12 and a smart device 14. An example of the data processing device 12 is a server.

[0026] The data processing device 12 includes a computer 22, a database 24, and a communication I / F 26. The computer 22 is an example of a "computer" according to the technology of the present disclosure. The computer 22 includes a processor 28, a RAM 30, and a storage 32. The processor 28, the RAM 30, and the storage 32 are connected to a bus 34. The database 24 and the communication I / F 26 are also connected to the bus 34. The communication I / F 26 is connected to a network 54. Examples of the network 54 include a WAN (Wide Area Network) and / or a LAN (Local Area Network).

[0027] The smart device 14 includes a computer 36, a reception device 38, an output device 40, a camera 42, and a communication I / F 44. The computer 36 includes a processor 46, a RAM 48, and a storage 50. The processor 46, the RAM 48, and the storage 50 are connected to a bus 52. The reception device 38, the output device 40, and the camera 42 are also connected to the bus 52.

[0028] The reception device 38 includes a touch panel 38A, a microphone 38B, and the like, and receives user input. The touch panel 38A detects contact with an indicator (for example, a pen or a finger) to receive user input by the touch of the indicator. The microphone 38B detects the user's voice to receive user input by voice. The control unit 46A transmits data indicating the user input received by the touch panel 38A and the microphone 38B to the data processing device 12. In the data processing device 12, the specific processing unit 290 acquires the data indicating the user input.

[0029] The output device 40 includes a display 40A and a speaker 40B, and presents data to the user 20 by outputting the data in a form of expression that the user 20 can perceive (for example, audio and / or text). The display 40A displays visible information such as text and images in accordance with instructions from the processor 46. The speaker 40B outputs audio in accordance with instructions from the processor 46. The camera 42 is a compact digital camera equipped with an optical system including a lens, aperture, and shutter, and an imaging element such as a CMOS (Complementary Metal-Oxide-Semiconductor) image sensor or a CCD (Charge Coupled Device) image sensor.

[0030] The communication I / F 44 is connected to a network 54. The communication I / Fs 44 and 26 control the exchange of various information between the processor 46 and the processor 28 via the network 54.

[0031] FIG. 2 shows an example of the main functions of the data processing device 12 and the smart device 14.

[0032] 2, in the data processing device 12, a specific process is performed by the processor 28. A specific processing program 56 is stored in the storage 32. The specific processing program 56 is an example of a "program" according to the technology of the present disclosure. The processor 28 reads the specific processing program 56 from the storage 32 and executes the read specific processing program 56 on the RAM 30. The specific process is realized by the processor 28 operating as a specific processing unit 290 in accordance with the specific processing program 56 executed on the RAM 30.

[0033] The storage 32 stores a data generation model 58 and an emotion identification model 59. The data generation model 58 and the emotion identification model 59 are used by the identification processing unit 290.

[0034] In the smart device 14, the processor 46 performs the reception output process. The storage 50 stores a reception output program 60. The reception output program 60 is used in conjunction with the specific processing program 56 by the data processing system 10. The processor 46 reads the reception output program 60 from the storage 50 and executes the read reception output program 60 on the RAM 48. The reception output process is realized by the processor 46 operating as the control unit 46A in accordance with the reception output program 60 executed on the RAM 48.

[0035] Next, a description will be given of the specific processing performed by the specific processing unit 290 of the data processing device 12. In the following description, the data processing device 12 will be referred to as a "server" and the smart device 14 will be referred to as a "terminal."

[0036] This invention is a system for efficiently requesting and providing housekeeping services. This system allows users to easily request services and uses an AI algorithm to select the most suitable housekeeping service provider, eliminating the cumbersome procedures that have traditionally been required. Below, the program processing of this system is explained in natural language.

[0037] Accepting user requests

[0038] When a user requests housekeeping services through an application or web portal, they input the details of the request (e.g., cleaning, laundry) and the desired date and time (e.g., October 10, 2023, 9:00 AM). The device then sends this input data to the server, which then stores the received data in a database.

[0039] Analyzing requirements and selecting the best contractor

[0040] The server analyzes the request received from the user and retrieves information about the housekeeping service provider from the database. This information includes the service provider's ratings, past performance, availability, etc. The server analyzes this information using an AI algorithm and selects the service provider that best suits the user's requirements.

[0041] Notifying vendors and coordinating schedules

[0042] The server sends a notification of the request to the selected vendor. Once the vendor confirms the request, the vendor's terminal sends a reply of "accept" or "reject" to the server. The server receives this reply, and if the vendor accepts the request, it sends a confirmation notification to the user. If the vendor rejects the request, the notification is resent to the vendor with the next highest priority.

[0043] Work progress management

[0044] On the day of the work, the contractor's terminal notifies the server when the work begins. The server reflects this information on the user's progress screen. When the work is completed, the contractor's terminal sends a completion notification to the server, which then notifies the user.

[0045] Feedback and Ratings

[0046] After the work is completed, the user's device displays an evaluation screen. The user enters their evaluation and feedback on the service, which is then sent to the server. The server stores the received evaluation data in a database and uses it to select future contractors.

[0047] Specific example explanation

[0048] A user enters, "I'd like cleaning done tomorrow at 9 o'clock." This request is sent to the server and saved in a database. The server uses an AI algorithm to select highly rated contractors A, B, and C. First, a notification is sent to contractor A, who replies, "Accept." Based on this information, the server sends a confirmation notification to the user's device stating, "Contractor A will come to clean at 9 o'clock." Contractor A begins the work, and once it is completed, the server manages its progress and notifies the user. Finally, the user enters a rating of "Very satisfied," which the server saves in the database and uses to select contractors from next time onwards.

[0049] In this way, the present invention realizes a system that reduces the burden on users and provides housekeeping services efficiently.

[0050] The processing flow will be explained below.

[0051] Step 1:

[0052] The user launches the application or web portal and enters the details of the housekeeping service request (e.g., cleaning) and the desired date and time (e.g., 9:00 on October 10, 2023). The device then sends this input data to the server.

[0053] Step 2:

[0054] The server stores the input data received from the user in a database, including the request details, desired date and time, and user information.

[0055] Step 3:

[0056] The server accesses the database and analyzes the saved request details, specifically extracting the request details, desired date and time, and the service details required by the user.

[0057] Step 4:

[0058] The server retrieves information about housekeeping service providers' ratings, past performance, and availability from the database, and the AI ​​algorithm then selects the most suitable provider based on this information.

[0059] Step 5:

[0060] The server then sends a request notification to the selected vendor, which includes the request details, desired date and time, and user information.

[0061] Step 6:

[0062] The agent's terminal receives the notification from the server, and the agent selects whether to "accept" or "reject" the request. The agent's terminal then sends the response to the server.

[0063] Step 7:

[0064] The server receives the vendor's response and determines the next action based on the response. If the vendor accepts the request, the server sends a confirmation notification to the user's terminal. If the vendor rejects the request, the server sends another notification to the vendor with the next highest priority.

[0065] Step 8:

[0066] The server sends a confirmation notice to the user's device, which displays the confirmation notice to inform the user that the request has been officially confirmed.

[0067] Step 9:

[0068] On the day of the work, the contractor's terminal sends a start notification to the server when the work starts. The server receives the work start notification and reflects the information on the user's progress screen.

[0069] Step 10:

[0070] When the contractor's terminal completes the work, it sends a completion notice to the server. The server receives the work completion notice and sends it to the user's terminal.

[0071] Step 11:

[0072] The user's device receives the notification of completion of the work and displays an evaluation screen for the user, who then enters their evaluation and feedback for the service.

[0073] Step 12:

[0074] The device sends the user's evaluation data to the server, which stores the data in a database and uses it to select future contractors.

[0075] Through the above steps, a system is realized that efficiently processes user requests and provides optimal housekeeping services.

[0076] Example 1

[0077] Next, a description will be given of Example 1. In the following description, the data processing device 12 will be referred to as a "server" and the smart device 14 will be referred to as a "terminal."

[0078] Conventional housekeeping services have had the problem that users have to manually select a service provider and then adjust schedules and manage progress, which is time-consuming and laborious. Furthermore, if there is a lack of information to select the most suitable service provider, the quality of the service can be inconsistent. The present invention aims to solve these problems and provide a system that allows users to efficiently request and use housekeeping services.

[0079] The specific processing by the specific processing unit 290 of the data processing device 12 in the first embodiment is realized by the following means.

[0080] In this invention, the server includes a user input means for the user to input the request details and desired date and time, a server means for receiving the input data from the user input means and storing it in a storage device, and a selection means for the server means to acquire agent information from the storage device and select the agent most suitable for the request. This allows the user to easily request a service, and the server to automatically select the most suitable agent and notify the user.

[0081] The "user input means" is an interface through which the user inputs the request details and desired date and time.

[0082] The "server means" is a server function that receives input data from the user input means and stores it in a storage device.

[0083] A "memory device" is a database or storage device for saving data.

[0084] The "selection means" is a function in which the server means acquires information on agents from the storage device and selects the agent that best suits the request.

[0085] The "notification means" is a function for sending a request notification to the selected trader and receiving a response from the trader.

[0086] The "determination notification means" is a function that transmits a determination notification from the notification means to the user terminal.

[0087] The "progress management means" is a function that manages the work progress of the contractor and notifies the user and the server.

[0088] The "feedback means" is an interface that allows the user to input an evaluation after completing a task.

[0089] The "storage means" is a function that stores the evaluation data from the feedback means in a storage device and uses it for future contractor selection.

[0090] The "AI algorithm" is an artificial intelligence technology that selects the most suitable contractor by taking into account contractor ratings, past performance, and availability.

[0091] This invention is a system for efficiently requesting and providing housekeeping services. This system allows users to easily request services and uses an AI algorithm to select the most suitable housekeeping service provider, eliminating the cumbersome procedures that have traditionally been required.

[0092] Accepting user requests

[0093] When a user requests housekeeping services through an application or web portal, they input the details of the request (e.g., cleaning, laundry) and the desired date and time (e.g., October 10, 2023, 9:00 AM). The device sends this input data to the server, which then stores the received data in a storage device. This process uses HTTP requests and database management systems (e.g., MySQL (registered trademark), PostgreSQL).

[0094] Analyzing requirements and selecting the best contractor

[0095] The server analyzes the request received from the user and, based on the analysis results, retrieves information about the housekeeping service providers (such as their ratings, past performance, and availability) from a storage device.The server then analyzes this information using an AI algorithm (e.g., a machine learning model using TENSORFLOW (registered trademark) or PyTorch) to select the service provider that best meets the user's requirements. Specifically, a Python script is executed on the server, retrieves information from a database, and scores it using a machine learning model.

[0096] Notifying vendors and coordinating schedules

[0097] The server sends a notification of the request details to the selected contractor. This notification is delivered to the contractor's device via push notification or email. When the contractor confirms the request, the contractor's device sends a response of "accept" or "reject" to the server. The server receives this response, and if the contractor accepts the request, it sends a confirmation notification to the user's device. If the contractor rejects the request, a notification is sent to the contractor with the next highest priority. Specifically, notifications and responses are exchanged using REST APIs or message queues (e.g., RabbitMQ).

[0098] Work progress management

[0099] On the day of the work, the contractor's device notifies the server when the work begins. The server reflects this information on the user's progress screen. When the work is completed, the contractor's device sends a completion notification to the server, which then notifies the user. Progress management may use real-time communication technology (e.g., WebSocket).

[0100] Feedback and Ratings

[0101] After completing the task, the user's device displays an evaluation screen. The user enters their rating and feedback for the service, which the device then sends to the server. The server stores the received rating data in a storage device and uses it to select future contractors. Specifically, when the user enters comments and star ratings into the evaluation form within the app and presses the "Submit" button, the content is saved on the server.

[0102] Specific example explanation

[0103] A user types, "I'd like cleaning done tomorrow at 9 o'clock." This request is sent to the server and stored in a storage device. The server uses an AI algorithm to score the highly rated contractors A, B, and C, and sends a notification to contractor A. Contractor A receives the notification on their smartphone, and selects "Accept" in the app. Based on this information, the server sends a confirmation notification to the user's device stating, "Contractor A will come to clean at 9 o'clock." On the day of the job, contractor A selects "Start work" in the app, and when the job is complete, selects "Complete." Each time, the server updates the status and notifies the user. Finally, the user enters a rating of "Very satisfied" in the app, and the server saves this in a storage device.

[0104] In this way, the present invention realizes a system that reduces the burden on users and provides housekeeping services efficiently.

[0105] The flow of the identification process in the first embodiment will be described with reference to FIG.

[0106] Step 1:

[0107] The user enters the request details (e.g., cleaning, laundry) and desired date and time (e.g., October 10, 2023, 9:00) into the application or web portal input form and presses the "Submit" button. This sends the input data from the terminal to the server. The server receives this input data and stores it in a database. The input data specifically includes the request details and date and time information, and the output is the data stored in the database.

[0108] Step 2:

[0109] The server retrieves the user's request from the database and analyzes it. Based on the results of this analysis, it retrieves information about the housekeeping service providers (such as their ratings, past performance, and availability) from the database. Natural Language Processing (NLP) technology is used for the analysis, and the results are output as structured data. The server then uses an AI algorithm (e.g., TensorFlow or PyTorch) to perform scoring based on the retrieved service provider information. The input is the user's request and service provider information, and the output is a list of the most suitable service providers.

[0110] Step 3:

[0111] The server sends a request notification to the selected contractor. This notification is delivered to the contractor's device via push notification or email. The contractor's device receives the notification, and after the contractor confirms the request, sends a response of "accept" or "reject" to the server. The input is the notification content from the server, and the output is the contractor's response (accept / reject). Specifically, notifications and responses are exchanged using a REST API or message queue (e.g., RabbitMQ).

[0112] Step 4:

[0113] The server receives the agent's response, and if the agent accepts the request, it sends a confirmation notification to the user's terminal. If the agent rejects the request, it resends the notification to the agent with the next highest priority. The input is the agent's response, and the output is a confirmation notification to the user. Specifically, when the response is accepted, the server updates the ongoing task and notifies the user.

[0114] Step 5:

[0115] On the day of work, the contractor's device notifies the server when work begins. The server reflects this information in real time on the user's progress screen. Specifically, real-time communication is performed using WebSocket to notify the user of progress. The input is the contractor's work start notification, and the output is an update to the user's progress screen.

[0116] Step 6:

[0117] When the work is completed, the contractor's terminal sends a completion notification to the server, and the server notifies the user. The input is the contractor's work completion notification, and the output is the completion notification to the user.

[0118] Step 7:

[0119] After completing the task, the user's device displays an evaluation screen. The user enters their evaluation and feedback on the service. The device sends this to the server. The server stores the received evaluation data in a database and uses it for future vendor selection. The input is the user's evaluation data, and the output is evaluation information stored in the database.

[0120] Specific example explanation

[0121] A user enters, "I'd like cleaning done tomorrow at 9am." This request is sent to the server and saved in a database. The server uses an AI algorithm to select highly rated contractors A, B, and C, and first sends a notification to contractor A. Contractor A receives the notification and replies, "Accept." Based on this information, the server sends a confirmation notification to the user's device stating, "Contractor A will come to clean at 9am." On the day of the job, contractor A selects "Start work" and "Complete" within the app, and the server notifies the user of progress and completion in real time. Finally, the user enters a rating of "Very satisfied," and the server saves this in the database.

[0122] This system allows users to efficiently request and use housekeeping services, freeing them from cumbersome procedures.

[0123] (Application example 1)

[0124] Next, a description will be given of Application Example 1. In the following description, the data processing device 12 will be referred to as a "server" and the smart device 14 will be referred to as a "terminal."

[0125] The present invention aims to provide a system that allows users to easily and efficiently select the most suitable housekeeping service provider when requesting a housekeeping service. It also aims to improve service quality by tracking the progress of work in real time, collecting evaluation data, and using it to select future service providers. In particular, the present invention aims to improve the user experience by utilizing smart devices.

[0126] The specific processing by the specific processing unit 290 of the data processing device 12 in the application example 1 is realized by the following means.

[0127] In this invention, the server includes an information input means through which a user inputs the request details and desired date and time; a data storage means for receiving the input data from the information input means and storing it in a data storage; an optimization means for the data storage means to retrieve contractor information from the data storage and select a contractor best suited to the request; a response management means for sending a request notification to the contractor selected by the optimization means and receiving a response from the contractor; a determination notification means for sending a determination notification from the response management means to a user terminal; a progress monitoring means for monitoring the contractor's work progress and notifying the user and the data storage means; an evaluation input means through which the user inputs an evaluation after the work is completed; a data analysis means for saving the evaluation data from the evaluation input means in a data storage and using it to select a contractor in the future; and a smart device-compatible interface that allows the user to request services using a smart device and monitor and check the progress in real time. This allows users to easily request housekeeping services via the Internet and check the progress of the work in real time. Furthermore, the evaluation data is used to more appropriately select the next contractor, which is expected to improve service quality.

[0128] The "information input means" refers to a device or interface that allows the user to input the request details and desired date and time.

[0129] The "data storage means" is a device or system that stores input data received from the information input means in data storage.

[0130] The "optimization means" is a device or system that selects the best vendor to meet the user's requirements based on vendor information acquired from the data storage by the data storage means.

[0131] The "response management means" is a device or system that sends a request notification to the provider selected by the optimization means and receives a response from the provider.

[0132] The "determination notification means" is a device or system that transmits a determination notification from the response management means to the user terminal.

[0133] The "progress monitoring means" is a device or system that monitors the work progress of the contractor and notifies the user and the data storage means.

[0134] The "evaluation input means" is a device or interface that allows a user to input an evaluation after completing a task.

[0135] The "data analysis means" is a device or system that stores the evaluation data from the evaluation input means in data storage and uses it for future contractor selection.

[0136] A "smart device-enabled interface" is a device or system that allows a user to use a smart device to submit a service request and monitor and review progress in real time.

[0137] The present invention is a system for improving the convenience of users of housekeeping services. The system is designed to enable users to easily request services, select appropriate contractors, monitor progress in real time, and provide feedback on evaluation information.

[0138] System configuration

[0139] 1. Information input method

[0140] This is a device or interface through which a user inputs the details of their request and the desired date and time. For example, it uses an application on a smart device such as a smartphone or tablet, or a web portal.

[0141] 2. Data storage method

[0142] A device or system that receives input data from an information input means and stores it in data storage. Data is stored in a cloud database or a local server.

[0143] 3. Optimization Methods

[0144] This is a device or system that selects the best contractor for the user's needs based on contractor information acquired from the data storage. It uses an AI algorithm to comprehensively consider past performance, evaluations, and availability.

[0145] 4. Response Management Measures

[0146] This is a device or system that sends a request notification to the vendor selected by the optimization means and receives a response from the vendor. It sends a notification in real time and confirms the vendor's acceptance.

[0147] 5. Confirmation notification method

[0148] This is a device or system that sends a confirmation notification from the response management means to the user terminal, and notifies the schedule and vendor information after the user has confirmed the request content.

[0149] 6. Progress Monitoring Methods

[0150] This is a device or system that monitors the work progress of contractors and notifies users and data storage means. The progress status is displayed in real time so that users can check it.

[0151] 7. Evaluation Input Method

[0152] This is a device or interface that allows users to input and submit evaluations after completing a task. Evaluations are entered and submitted using a smart device.

[0153] 8. Data Analysis Methods

[0154] This is a device or system that stores the evaluation data from the evaluation input means in data storage and uses it for future contractor selection, making it possible to evaluate and improve contractors.

[0155] 9. Smart device compatible interface

[0156] A device or system that allows users to use their smart devices to submit service requests and monitor and review progress in real time, using a mobile application or web-based dashboard.

[0157] Specific examples

[0158] A user uses a smartphone app to input a request, saying, "I would like cleaning done at 9:00 on October 10, 2023." This request is sent to the server and saved in data storage. The server uses an AI algorithm to select a highly rated contractor through optimization means. Contractors A and B are considered as highly rated contractors, and B accepts the request. The response management means sends a confirmation notice to the user's terminal based on this information. On the day of the work, the progress of contractor B is monitored in real time through progress monitoring means, and the user can check the progress using a smart device-compatible interface. After the work is completed, the user uses the evaluation input means to input a rating of "very satisfied," and this evaluation data is used by data analysis means to select a contractor in the future.

[0159] Prompt Sentence Examples

[0160] Below are some example prompts to input to a generative AI model:

[0161] User Request:

[0162] Service Type:Cleaning

[0163] Desired time: October 10, 2023 9:00

[0164] Information for provider selection based on AI algorithms:

[0165] Provider A: Rating 4.5, Available time: October 10, 2023, 9:00 AM

[0166] Provider B: Rating 4.7, Available time: October 10, 2023, 9:00 AM

[0167] Provider C: Rating 4.3, Available time: October 10, 2023, 9:00 AM

[0168] Selected provider: Provider B

[0169] This system allows users to easily request housekeeping services via the Internet and check the progress of the work in real time. In addition, the evaluation data will be used to more appropriately select the next contractor, which is expected to improve service quality.

[0170] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[0171] Step 1:

[0172] The user uses a smart device to input the details of the request for housekeeping services and the desired date and time.

[0173] Input: Service type, desired date and time (e.g. cleaning, October 10, 2023, 9:00).

[0174] Operation: The user terminal sends these input data to the server.

[0175] Step 2:

[0176] The server receives input data from the user and stores it in a data storage.

[0177] Input: Request details and desired date and time sent by the user.

[0178] Data processing: The input data is stored in the appropriate table in the data storage.

[0179] Action: The server performs a write operation to the database.

[0180] Step 3:

[0181] The server retrieves vendor information from data storage and selects the most suitable vendor based on an AI algorithm.

[0182] Input: Contractor information in data storage (contractor ratings, past performance, availability).

[0183] Data calculation: Using an AI algorithm, the most suitable contractor is calculated taking into account ratings, track record, and availability.

[0184] How it works: The server calls the AI ​​model, analyzes vendor information, and selects the most suitable vendor.

[0185] Step 4:

[0186] The server sends a request notification to the selected vendor and monitors responses from the vendor.

[0187] Input: Contact information of the selected vendor and your request.

[0188] Operation: The server sends a notification to the merchant's terminal and waits for an "accept" or "reject" response from the merchant.

[0189] Step 5:

[0190] The server receives the response from the vendor and sends a confirmation notice to the user.

[0191] Input: Merchant response data.

[0192] Operation: If the response is "accepted," the server sends a confirmation notice to the user terminal; if the response is "rejected," the server resends the request to the next priority provider.

[0193] Step 6:

[0194] The server monitors the contractor's work progress and notifies the user terminal in real time.

[0195] Input: Work start and completion notices from contractors.

[0196] Operation: The server receives the progress data and reflects the progress status on the user's device in real time.

[0197] Step 7:

[0198] After completing the task, the user enters a rating and sends it to the server.

[0199] Input: Rating data from users (e.g., satisfaction, comments).

[0200] Operation: The server receives evaluation data from the user terminal.

[0201] Step 8:

[0202] The server stores the evaluation data in data storage and uses it to select contractors in the future.

[0203] Input: Rating data from users.

[0204] Data Processing: Assessment data is stored and processed for aggregation or analysis.

[0205] How it works: The server stores the evaluation data in a database and prepares it for reflection in the AI ​​algorithm.

[0206] Furthermore, an emotion engine that estimates the user's emotion may be combined. That is, the identification processing unit 290 may estimate the user's emotion using the emotion identification model 59 and perform identification processing using the user's emotion.

[0207] The present invention is a system that allows users to efficiently request and receive housekeeping services, eliminating the need for conventional complicated procedures and providing optimal services that take into consideration the user's feelings. Below, the program processing of this system is explained in natural language.

[0208] Accepting user requests

[0209] When a user requests housekeeping services through an application or web portal, they input the details of the request (e.g., cleaning) and the desired date and time (e.g., October 10, 2023, 9:00 AM). The device sends this input data to the server, which then stores the received data in a database.

[0210] Analyzing requirements and selecting the best contractor

[0211] The server analyzes the request received from the user and retrieves information about the housekeeping service provider from the database. This information includes the service provider's ratings, past performance, availability, etc. The server analyzes this information using an AI algorithm and selects the service provider that best suits the user's requirements.

[0212] Introducing the Emotion Engine

[0213] Here, we introduce an emotion engine that identifies user emotions from user input and evaluation data. The server uses this emotion engine to analyze and identify user emotions, and reflects the results in the selection of service providers and notification content.

[0214] Notifying vendors and coordinating schedules

[0215] The server sends a request notification to the selected provider. The notification includes the request details, desired date and time, and user information. When the provider confirms the request, the provider's terminal selects "Accept" or "Reject" and sends the response to the server.

[0216] Confirmation and Emotional Reflection

[0217] The server receives the vendor's response and decides the next action based on the response. If the vendor accepts the request, the server sends a confirmation notification to the user that reflects the analysis results of the emotion engine. If the vendor rejects the request, the server sends another notification to the vendor with the next highest priority.

[0218] Work progress management

[0219] On the day of the work, the contractor's terminal sends a start notification to the server when the work begins. The server receives the work start notification and reflects that information on the user's progress screen. When the work is completed, the contractor's terminal sends a completion notification to the server, which notifies the user.

[0220] Leveraging feedback and emotion engines

[0221] After completing the task, the user's device displays a rating screen. The user enters their rating and feedback for the service, which is then sent to the server. The server not only stores the received rating data in a database, but also analyzes the user's emotions using an emotion engine and automatically adjusts the rating data.

[0222] Specific example explanation

[0223] A user enters, "I'd like cleaning done tomorrow at 9 o'clock." This request is sent to the server and saved in a database. The server uses an AI algorithm and emotion engine to select highly rated contractors A, B, and C. First, a notification is sent to contractor A, who replies, "Accept." Based on this information, the server reflects the results of the emotion engine and sends a confirmation notification to the user, stating, "Contractor A will come to clean at 9 o'clock." Contractor A begins the work and, once it is completed, the server manages its progress and notifies the user. Finally, the user enters a rating and feedback, saying, "Very satisfied," which the server saves in a database and analyzes using the emotion engine to use in selecting contractors for future projects.

[0224] In this way, the present invention realizes a system that reduces the burden on users, provides efficient housekeeping services, and improves the quality of services by taking into account the feelings of the users.

[0225] The processing flow will be explained below.

[0226] Step 1:

[0227] The user launches the application or web portal and enters the details of the housekeeping service request (e.g., cleaning) and the desired date and time (e.g., 9:00 on October 10, 2023). The device then sends this input data to the server.

[0228] Step 2:

[0229] The server stores the input data received from the user in a database, including the request details, desired date and time, and user information.

[0230] Step 3:

[0231] The server accesses the database and analyzes the saved request. The server extracts the request details, desired date and time, and the user's request, and sends this information to the emotion engine.

[0232] Step 4:

[0233] The emotion engine analyzes the user's request and identifies the user's emotion. The emotion identification result is sent to the server.

[0234] Step 5:

[0235] The server retrieves information about the housekeeping service providers' ratings, past performance, and availability from the database, and the AI ​​algorithm then selects the most suitable provider based on this information.

[0236] Step 6:

[0237] The server then sends a request notification to the selected service provider, which includes the request details, desired date and time, user information, and emotion recognition results.

[0238] Step 7:

[0239] The agent's terminal receives the notification from the server, and the agent selects whether to "accept" or "reject" the request. The agent's terminal then sends the response to the server.

[0240] Step 8:

[0241] The server receives the vendor's response and determines the next action based on the response. If the vendor accepts the request, a confirmation notice is sent to the user's terminal. If the vendor rejects the request, another notice is sent to the vendor with the next highest priority.

[0242] Step 9:

[0243] The server sends a confirmation notice to the user's device, which displays the confirmation notice to inform the user that the request has been officially confirmed.

[0244] Step 10:

[0245] On the day of the work, the contractor's terminal sends a start notification to the server when the work starts. The server receives the work start notification and reflects the information on the user's progress screen.

[0246] Step 11:

[0247] When the contractor's terminal completes the work, it sends a completion notice to the server. The server receives the work completion notice and sends it to the user's terminal.

[0248] Step 12:

[0249] The user's device receives the notification of the completion of the task and displays an evaluation screen to the user. The user enters an evaluation and feedback for the service, which the device then sends to the server.

[0250] Step 13:

[0251] The server stores the received evaluation data in a database. The emotion engine analyzes the evaluation data and re-evaluates the user's emotions.

[0252] Step 14:

[0253] The emotion engine automatically adjusts the evaluation data based on the user's emotions and uses it for future vendor selection. The server stores this adjusted evaluation data in a database.

[0254] Through the above steps, a system is realized that processes user requests efficiently and with consideration for their feelings, providing optimal housekeeping services.

[0255] Example 2

[0256] Next, a description will be given of Example 2. In the following description, the data processing device 12 will be referred to as a "server" and the smart device 14 will be referred to as a "terminal."

[0257] Conventional housekeeping service request systems not only require users to input the details of their request and the desired date and time, but also do not sufficiently consider the user's feelings or evaluations when selecting a service provider, resulting in a decline in user satisfaction.

[0258] The identification process by the identification processing unit 290 of the data processing device 12 in Example 2 is realized by the following means. In this invention, the server includes: a user input means through which a user inputs request details and a desired date and time; a server means for receiving input data from the user input means and storing the input data in a database; a selection means through which the server means acquires information about service providers from the database and selects a provider best suited to the request; a sentiment analysis means for analyzing the request details and user evaluation data using an emotion engine and reflecting the results in the selection result; a notification means for sending a request notification to the provider selected by the selection means and receiving a response from the provider; a determination notification means for sending a determination notification from the notification means to a user terminal; a progress management means for managing the progress of the provider's work and notifying the user and the server; a feedback means through which the user inputs an evaluation after completing the work; and a storage means for storing the evaluation data from the feedback means in a database and utilizing it for future provider selection. This makes it possible to select an optimal service provider taking into consideration the user's emotions and evaluations.

[0259] "User input means" refers to an interface such as a device, application, or web portal that allows a user to input the request details and desired date and time.

[0260] "Server means" refers to a computer system that receives input data from a user input means and stores the data in a database.

[0261] The "selection means" refers to the function of the server means to obtain information on service providers from the database and select the provider that best suits the user's request.

[0262] "Sentiment analysis means" refers to an algorithm or engine that analyzes the request content and user evaluation data, identifies the user's emotions, and reflects them in the selection results.

[0263] The "notification means" refers to a function of sending a request notification to the provider selected by the selection means and receiving a response from the provider.

[0264] The "determination notification means" refers to a function that transmits a determination notification from the notification means to the user terminal.

[0265] The "progress management means" refers to a function that manages the work progress of the provider and notifies the user and the server of that information.

[0266] "Feedback means" refers to an interface, such as a device, application, or web portal, through which a user can enter a rating after completing a task.

[0267] "Storage means" refers to the function of storing evaluation data from the feedback means in a database and using it to select future providers.

[0268] "Service provider" refers to a company or individual that provides services such as housekeeping services.

[0269] "Database" refers to a data repository for systematically storing and managing information within a system.

[0270] The "request notification" refers to a notification that includes information such as the user's request content and desired date and time, and is sent to the service provider.

[0271] "Evaluation data" refers to the evaluation or feedback that a user enters regarding a provider's service after completing a task.

[0272] "Emotion engine" refers to algorithms and programs that analyze a user's text data and identify their emotional state.

[0273] "AI algorithm" refers to a computational method for data analysis and optimization using artificial intelligence.

[0274] This invention is a system that allows users to smoothly request and receive housekeeping services. Specifically, it selects the most suitable service provider based on the request details and evaluation data entered by the user, and can notify the user in a way that takes into account their feelings.

[0275] Overall system configuration

[0276] The system consists of the following main components:

[0277] User Input Method

[0278] Server Means

[0279] Selection method

[0280] sentiment analysis tool

[0281] Notification means

[0282] Confirmation notification method

[0283] Progress management method

[0284] Feedback Methods

[0285] Preservation means

[0286] Data flow

[0287] 1. User Input Method:

[0288] Provide an interface for users to enter their request and desired date and time. This can include a smartphone app or a web portal. For example, a user might enter, "I'd like cleaning done tomorrow at 9:00."

[0289] 2. Server means:

[0290] Receives input data sent from the terminal and stores the data in a database. HTTP requests can be used for the receiving process.

[0291] 3. Selection method:

[0292] The server retrieves information about service providers from the database and uses an AI algorithm to select the service provider that best suits the user's request. Selection criteria include provider ratings, past performance, and availability. For example, it selects providers A, B, and C with high ratings.

[0293] 4. Sentiment analysis tools:

[0294] The server passes the request details and the user's evaluation data to the emotion engine, which then analyzes the results to understand the user's emotional state, such as "very satisfied" or "anxious because the deadline is approaching."

[0295] 5. Means of notification:

[0296] The server sends a request notification to the selected service provider and receives a response. The notification includes the request details and desired date and time. For example, a notification may be sent saying, "Cleaning request for October 10, 2023 at 9:00 AM."

[0297] 6. Confirmation notification method:

[0298] The server receives the provider's response and notifies the user of the confirmed schedule. Specifically, if Company A replies "Accept," the server notifies the user that "Company A will come to clean at 9 o'clock."

[0299] 7. Progress management measures:

[0300] When the contractor's terminal starts work, it sends a start notification to the server, which is reflected on the user's progress screen. When the work is completed, the contractor's terminal sends another completion notification, which the server notifies the user.

[0301] 8. Feedback methods:

[0302] The user's device provides an evaluation screen after the service is completed, and the user inputs their evaluation and feedback. For example, they can rate the service "very satisfied" and enter feedback such as "Thank you for your prompt response."

[0303] 9. Preservation means:

[0304] The server stores the evaluation data from the feedback means in a database and uses it to select future service providers, thereby improving the quality of the service by reusing the emotion engine.

[0305] Specific examples

[0306] A user enters, "I'd like cleaning done tomorrow at 9 o'clock." This request is sent to the server and saved in a database. The server uses an AI algorithm and emotion engine to select highly rated contractors A, B, and C. First, a notification is sent to contractor A, who replies, "Accept." The server uses this information to reflect the results of the emotion engine and sends a confirmation notification to the user, stating, "Contractor A will come to clean at 9 o'clock." Contractor A begins the work and, once it is completed, the server manages its progress and notifies the user. Finally, the user enters a rating and feedback, saying, "Very satisfied," and the server saves this in a database, analyzes it using the emotion engine, and uses it to select contractors for the next time and beyond.

[0307] Prompt Sentence Examples

[0308] "Devourite a program for a system that reflects the user's emotions and provides the most appropriate housekeeping service. Please explain the entire process, from the user entering the details of the request and the desired date and time, to the user entering feedback after the task is completed."

[0309] In this way, the present invention realizes a system that reduces the burden on users, provides efficient housekeeping services, and improves the quality of services by taking into account the feelings of the users.

[0310] The flow of the identification process in the second embodiment will be described with reference to FIG.

[0311] Step 1:

[0312] The user inputs the requested details of the housekeeping service and the desired date and time.

[0313] Specific operation: The user logs in to the dedicated app or web portal, enters the request details (e.g., cleaning) and desired date and time (e.g., October 10, 2023, 9:00), and presses the "Send" button.

[0314] Input: Request details, desired date and time

[0315] Output: The request details and desired date and time are sent from the terminal to the server.

[0316] Step 2:

[0317] The terminal transmits the received input data to the server, which stores the data in a database.

[0318] Specific operation: The terminal sends the request details and desired date and time data to the server via an HTTP request, and the server stores it in a database.

[0319] Input: Request details and desired date and time data

[0320] Output: Request details and desired date and time stored in the database.

[0321] Step 3:

[0322] The server retrieves information about service providers from the database and selects the most suitable provider based on the request data.

[0323] Specific operation: The server retrieves information such as provider ratings, past performance, and availability from the database, and uses an AI algorithm to select the most suitable provider.

[0324] Input: Provider information stored in the database and user request data

[0325] Output: A list of the best providers

[0326] Step 4:

[0327] The server passes the request content and the user's evaluation data to the emotion engine to analyze the user's emotions.

[0328] Specific operation: The server uses an emotion engine to analyze the request content and past evaluation data to identify the user's emotional state.

[0329] Input: Request details, evaluation data

[0330] Output: User's emotional state

[0331] Step 5:

[0332] The server sends a request notification to the provider based on the selection results and sentiment analysis results, and receives a response.

[0333] Specific operation: The server sends the notification content (request content, desired date and time, and sentiment analysis results) to the provider's terminal, and the provider sends a response of "accept" or "reject."

[0334] Input: list of optimal donors, emotional state

[0335] Output: Provider response

[0336] Step 6:

[0337] The server receives the response from the provider and notifies the user of the confirmed schedule.

[0338] Specific operation: If the provider replies "accept," the server notifies the user that "a cleaning company will come to clean the room at 9 o'clock." If the provider rejects the request, the server sends another notification to the next provider.

[0339] Input: Provider response

[0340] Output: Confirmation notification to user

[0341] Step 7:

[0342] When the contractor's terminal starts work, it sends a start notification to the server and manages the work progress.

[0343] Specific operation: The contractor's device presses the "Start work" button, the server receives it and reflects it on the user's progress screen. When the work is completed, a "Completion notification" is sent in the same way.

[0344] Input: Work start notification, completion notification

[0345] Output: Reflection on the user's progress screen

[0346] Step 8:

[0347] The user's terminal displays an evaluation screen after the task is completed, and the user inputs an evaluation and feedback.

[0348] Specific action: The user rates the service as "Very satisfied" and enters feedback such as "Thank you for your quick response" and submits the response.

[0349] Input: User ratings and feedback

[0350] Output: The rating data is sent to the server and stored in a database.

[0351] Step 9:

[0352] The server stores the evaluation data in a database and uses an emotion engine to reflect this in future provider selection.

[0353] Specific operation: The server stores the evaluation data in a database, analyzes it using an emotion engine, and uses it to select the most suitable provider in future.

[0354] Input: Evaluation data

[0355] Output: Improved accuracy of selecting the optimal provider

[0356] (Application example 2)

[0357] Next, a description will be given of Application Example 2. In the following description, the data processing device 12 will be referred to as a "server" and the smart device 14 will be referred to as a "terminal."

[0358] When requesting a housekeeping service, users must go through complicated procedures and spend a lot of time and effort selecting the most suitable service provider. Furthermore, conventional systems do not take into account the user's feelings, which may affect the quality of the service. Furthermore, the inefficient service provider selection process makes it difficult to improve user satisfaction.

[0359] The specific processing by the specific processing unit 290 of the data processing device 12 in the application example 2 is realized by the following means.

[0360] In this invention, the server includes: a user input means for accepting a user's request; a server means for receiving input data from the user input means and saving it in a database; a selection means for retrieving information on business support providers from the database and selecting the provider best suited to the request; a notification means for sending a request notification to the selected provider and receiving a response from the provider; a determination notification means for sending a determination notification to the user terminal; a progress management means for managing the progress of the provider and notifying the user and the server; a feedback means for the user to input an evaluation after the completion of the work; a storage means for saving the evaluation data from the feedback means in a database and using it for future provider selection; an emotion analysis means for analyzing emotions from the user's input and reflecting the results in the provider selection and notification content; and a suggestion means for using an AI algorithm to suggest the best provider taking the user's emotions into consideration when selecting a provider. This allows users to easily request housekeeping services, and the provision of optimal services that take emotions into consideration can improve user satisfaction.

[0361] The "user input means" is an interface that allows the user to input the request details and desired date and time.

[0362] The "server means" is a server function for receiving input data from the user input means and storing it in a database.

[0363] The "selection means" is a function that allows the server means to obtain information on business support companies from the database and select the company that best suits the request.

[0364] The "notification means" is a function for sending a request notification to the trader selected by the selection means and receiving a response from the trader.

[0365] The "determination notification means" is a function for transmitting a determination notification from the notification means to the user terminal.

[0366] The "progress management means" is a function for managing the work progress of the contractor and notifying the user and the server.

[0367] The "feedback means" is an interface that allows the user to input an evaluation after completing a task.

[0368] The "storage means" is a function for storing evaluation data from the feedback means in a database and utilizing it for future contractor selection.

[0369] The "emotion analysis means" is a function for analyzing the emotions from the content entered by the user and reflecting the results in the selection of a company and the content of the notification.

[0370] "Suggestion method" is a function that uses an AI algorithm to suggest the most suitable contractor by taking into account the user's feelings when selecting a contractor.

[0371] The present invention is a system that allows users to efficiently request and receive housekeeping services. This system allows users to input the details of their request and the desired date and time using a device such as a smartphone or smart glasses, transmit the data to a server, and then select the most suitable company.

[0372] Accepting user requests

[0373] A user uses a user terminal such as a smartphone or smart glasses to input the details of a request for housekeeping services (e.g., cleaning or cooking) and the desired date and time. The user input means receives this input data and transmits it to the server means. The server stores the received data in a database.

[0374] Analyzing requirements and selecting the best contractor

[0375] The server analyzes the user's request and retrieves information about contractors from a database. Based on the retrieved information, the selection method uses an AI algorithm to select the most suitable contractor, taking into consideration factors such as ratings, past performance, and availability. During this process, the emotion analysis method analyzes the user's input and reflects the results in the contractor selection.

[0376] Notifying vendors and coordinating schedules

[0377] The notification means sends a request notification to the provider selected by the selection means. When the provider receives this notification, it can choose to accept or reject the request. The provider's response is sent to the server by the notification means, and the server determines the next action based on the response. If the request is accepted, the server sends a confirmation notification to the user using the confirmation notification means.

[0378] Work progress management

[0379] When the contractor starts the work, the progress management means manages the progress of the work in real time and notifies the user terminal and the server. When the work is completed, the contractor sends a completion notification to the server, and the server notifies the user of this information.

[0380] Feedback and Emotional Reflection

[0381] A feedback means is provided for users to input their evaluation after completing a task. The user inputs their evaluation and feedback on the service, and the terminal sends this to the server. The storage means stores the received evaluation data in a database and uses it for future contractor selection. Furthermore, an emotion analysis means is used to analyze the user's emotions and automatically adjust the evaluation data.

[0382] Specific example explanation

[0383] For example, a user might input, "I'd like cleaning done tomorrow at 9 o'clock." This request is sent to the server and saved in a database. The server then uses an AI algorithm and sentiment analysis means to select a highly rated contractor. The notification means sends a notification to the selected contractor, and if the contractor replies "accept," the server sends a confirmation notification reflecting the sentiment analysis results to the user. After the work begins, the progress management means notifies the user of the information in real time, and after completion, the feedback means receives an evaluation. By appropriately reflecting sentiment analysis in this series of processes, an advanced user experience and improved service quality are achieved.

[0384] Examples of application to generative AI models and prompt sentences

[0385] As an example of using a generative AI model to perform sentiment analysis in a program, the following prompt sentence is input into the AI ​​model.

[0386] "Analyze the sentiment from the user's input and select the best company.

[0387] Type: 'I'd like you to clean my room. It's not very clean, but I'd like to change that.'

[0388] Emotion analysis result: 'confused'

[0389] Best Vendor Rating: 4.9

[0390] In this way, the present invention realizes a system that provides efficient and high-quality housekeeping services by reducing the burden on users and selecting the most appropriate contractor taking their emotions into consideration.

[0391] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[0392] Step 1:

[0393] The user inputs the details of the request for housekeeping services and the desired date and time using a terminal such as a smartphone or smart glasses. The user input means receives this input data and transmits it to the server.

[0394] Input: Request details and desired date and time

[0395] Output: Request data sent to the server

[0396] Specific operations: Enter the request details (e.g., "cleaning") and desired date and time (e.g., October 10, 2023, 9:00) into the form on the device, and press the send button.

[0397] Step 2:

[0398] The server receives the user's request details and desired date and time data and stores them in a database.

[0399] Input: Request data sent from the terminal

[0400] Output: Request data stored in the database

[0401] Specific operation: The server analyzes the received data and stores it in a database management system (e.g., MySQL or PostgreSQL).

[0402] Step 3:

[0403] The server retrieves information on business support providers from the database and uses an AI algorithm to select the provider that best suits the request, taking into account the results of analyzing the user's emotions using an emotion analysis tool.

[0404] Input: Request data and vendor information stored in the database

[0405] Output: Selected best vendors

[0406] Specific operation: The server executes an AI algorithm written in Python, and selects vendor A based on the evaluation, past performance, availability, and the results of emotion analysis (e.g., "confused").

[0407] Step 4:

[0408] The server sends a request notification to the selected vendor, who receives the notification, chooses to accept or decline, and sends a response to the server.

[0409] Input: Selected best supplier

[0410] Output: Response from the merchant ('Accept' or 'Reject')

[0411] Specific operation: The server sends a notification to the vendor's device via API, and the vendor checks the notification in a dedicated application, clicks a button to accept or reject the notification, and returns the response to the server.

[0412] Step 5:

[0413] The server receives the response from the provider, and if the provider accepts, sends a confirmation notice to the user terminal.

[0414] Input: Response from vendor

[0415] Output: Confirmation notification to user

[0416] Specific operation: The server checks the response, and if the contractor selects "Accept," it sends a message to the user's terminal saying, "Contractor A will come to clean at 9 o'clock."

[0417] Step 6:

[0418] When the contractor starts work, a work start notification is sent from the terminal to the server, and the server notifies the user through the progress management means.

[0419] Input: Work Start Notice

[0420] Output: User notification that work has started

[0421] Specific operation: When the contractor's terminal presses the start work button, a start notification is sent to the server, and a notification stating "Work has started" is displayed on the user's progress screen.

[0422] Step 7:

[0423] When the contractor completes the work, the terminal sends a completion notification to the server, and the server notifies the user of this.

[0424] Input: Work Completion Notification

[0425] Output: User notification that the task is complete

[0426] Specific operation: When the contractor's terminal presses the work completion button, a completion notification is sent to the server, and a notification stating "Work completed" is displayed on the user's progress screen.

[0427] Step 8:

[0428] After completing a task, the user enters their rating and feedback, which is then sent to the server, which stores the rating data in a database.

[0429] Input: User Ratings and Feedback

[0430] Output: Evaluation data stored in a database

[0431] Specific operation: The user fills in the rating form (e.g., "5-star rating and comment") and presses the submit button. The server stores the rating in the database.

[0432] Step 9:

[0433] The server uses emotion analysis means to analyze the user's emotions based on the stored evaluation data and reflects this in future vendor selection.

[0434] Input: Evaluation data

[0435] Output: User sentiment analysis results

[0436] Specific operation: The server performs sentiment analysis on the stored evaluation data using an NLP model, and incorporates the analysis results (e.g., "satisfied") into the next vendor selection algorithm.

[0437] The specific processing unit 290 transmits the result of the specific processing to the smart device 14. In the smart device 14, the control unit 46A causes the output device 40 to output the result of the specific processing. The microphone 38B acquires audio indicating a user input regarding the result of the specific processing. The control unit 46A transmits audio data indicating the user input acquired by the microphone 38B to the data processing device 12. In the data processing device 12, the specific processing unit 290 acquires the audio data.

[0438] The data generation model 58 is a so-called generative AI (Artificial Intelligence). An example of the data generation model 58 is ChatGPT (registered trademark) (Internet search engine).<URL: https: / / openai.com / blog / chatgpt> ), Gemini (registered trademark) (Internet search <url: https: gemini.google.com ?hl="ja">) and other generation AIs. The data generation model 58 is obtained by performing deep learning on a neural network. A prompt including an instruction is input to the data generation model 58, and inference data such as voice data indicating voice, text data indicating text, and image data indicating an image is also input. The data generation model 58 performs inference on the input inference data in accordance with the instruction indicated by the prompt, and outputs the inference result in a data format such as voice data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization.

[0439] In the above embodiment, an example in which the specific process is performed by the data processing device 12 has been given, but the technology of the present disclosure is not limited to this, and the specific process may be performed by the smart device 14.

[0440] [Second embodiment]

[0441] FIG. 3 shows an example of the configuration of a data processing system 210 according to the second embodiment.

[0442] 3, the data processing system 210 includes the data processing device 12 and smart glasses 214. An example of the data processing device 12 is a server.

[0443] The data processing device 12 includes a computer 22, a database 24, and a communication I / F 26. The computer 22 is an example of a "computer" according to the technology of the present disclosure. The computer 22 includes a processor 28, a RAM 30, and a storage 32. The processor 28, the RAM 30, and the storage 32 are connected to a bus 34. The database 24 and the communication I / F 26 are also connected to the bus 34. The communication I / F 26 is connected to a network 54. Examples of the network 54 include a WAN (Wide Area Network) and / or a LAN (Local Area Network).

[0444] The smart glasses 214 include a computer 36, a microphone 238, a speaker 240, a camera 42, and a communication I / F 44. The computer 36 includes a processor 46, a RAM 48, and a storage 50. The processor 46, the RAM 48, and the storage 50 are connected to a bus 52. The microphone 238, the speaker 240, and the camera 42 are also connected to the bus 52.

[0445] The microphone 238 receives instructions and the like from the user 20 by receiving voice uttered by the user 20. The microphone 238 captures the voice uttered by the user 20, converts the captured voice into audio data, and outputs it to the processor 46. The speaker 240 outputs audio in accordance with instructions from the processor 46.

[0446] Camera 42 is a small digital camera equipped with an optical system including a lens, aperture, and shutter, and an imaging element such as a CMOS (Complementary Metal-Oxide-Semiconductor) image sensor or a CCD (Charge Coupled Device) image sensor, and captures images of the surroundings of user 20 (for example, an imaging range defined by an angle of view equivalent to the field of vision of a typical healthy person).

[0447] The communication I / F 44 is connected to a network 54. The communication I / Fs 44 and 26 control the exchange of various information between the processor 46 and the processor 28 via the network 54. The exchange of various information between the processor 46 and the processor 28 using the communication I / Fs 44 and 26 is carried out in a secure state.

[0448] Fig. 4 shows an example of the main functions of the data processing device 12 and the smart glasses 214. As shown in Fig. 4, in the data processing device 12, a specific process is performed by the processor 28. A specific process program 56 is stored in the storage 32.

[0449] The specific processing program 56 is an example of a "program" according to the technology of the present disclosure. The processor 28 reads the specific processing program 56 from the storage 32 and executes the read specific processing program 56 on the RAM 30. The specific processing is realized by the processor 28 operating as a specific processing unit 290 in accordance with the specific processing program 56 executed on the RAM 30.

[0450] The storage 32 stores a data generation model 58 and an emotion identification model 59. The data generation model 58 and the emotion identification model 59 are used by the identification processing unit 290.

[0451] In the smart glasses 214, the reception output process is performed by the processor 46. A reception output program 60 is stored in the storage 50. The processor 46 reads the reception output program 60 from the storage 50 and executes the read reception output program 60 on the RAM 48. The reception output process is realized by the processor 46 operating as the control unit 46A in accordance with the reception output program 60 executed on the RAM 48.

[0452] Next, a description will be given of the identification process performed by the identification processing unit 290 of the data processing device 12. In the following description, the data processing device 12 will be referred to as the "server" and the smart glasses 214 will be referred to as the "terminal."

[0453] This invention is a system for efficiently requesting and providing housekeeping services. This system allows users to easily request services and uses an AI algorithm to select the most suitable housekeeping service provider, eliminating the cumbersome procedures that have traditionally been required. Below, the program processing of this system is explained in natural language.

[0454] Accepting user requests

[0455] When a user requests housekeeping services through an application or web portal, they input the details of the request (e.g., cleaning, laundry) and the desired date and time (e.g., October 10, 2023, 9:00 AM). The device then sends this input data to the server, which then stores the received data in a database.

[0456] Analyzing requirements and selecting the best contractor

[0457] The server analyzes the request received from the user and retrieves information about the housekeeping service provider from the database. This information includes the service provider's ratings, past performance, availability, etc. The server analyzes this information using an AI algorithm and selects the service provider that best suits the user's requirements.

[0458] Notifying vendors and coordinating schedules

[0459] The server sends a notification of the request to the selected vendor. Once the vendor confirms the request, the vendor's terminal sends a reply of "accept" or "reject" to the server. The server receives this reply, and if the vendor accepts the request, it sends a confirmation notification to the user. If the vendor rejects the request, the notification is resent to the vendor with the next highest priority.

[0460] Work progress management

[0461] On the day of the work, the contractor's terminal notifies the server when the work begins. The server reflects this information on the user's progress screen. When the work is completed, the contractor's terminal sends a completion notification to the server, which then notifies the user.

[0462] Feedback and Ratings

[0463] After the work is completed, the user's device displays an evaluation screen. The user enters their evaluation and feedback on the service, which is then sent to the server. The server stores the received evaluation data in a database and uses it to select future contractors.

[0464] Specific example explanation

[0465] A user enters, "I'd like cleaning done tomorrow at 9 o'clock." This request is sent to the server and saved in a database. The server uses an AI algorithm to select highly rated contractors A, B, and C. First, a notification is sent to contractor A, who replies, "Accept." Based on this information, the server sends a confirmation notification to the user's device stating, "Contractor A will come to clean at 9 o'clock." Contractor A begins the work, and once it is completed, the server manages its progress and notifies the user. Finally, the user enters a rating of "Very satisfied," which the server saves in the database and uses to select contractors from next time onwards.

[0466] In this way, the present invention realizes a system that reduces the burden on users and provides housekeeping services efficiently.

[0467] The processing flow will be explained below.

[0468] Step 1:

[0469] The user launches the application or web portal and enters the details of the housekeeping service request (e.g., cleaning) and the desired date and time (e.g., 9:00 on October 10, 2023). The device then sends this input data to the server.

[0470] Step 2:

[0471] The server stores the input data received from the user in a database, including the request details, desired date and time, and user information.

[0472] Step 3:

[0473] The server accesses the database and analyzes the saved request details, specifically extracting the request details, desired date and time, and the service details required by the user.

[0474] Step 4:

[0475] The server retrieves information about housekeeping service providers' ratings, past performance, and availability from the database, and the AI ​​algorithm then selects the most suitable provider based on this information.

[0476] Step 5:

[0477] The server then sends a request notification to the selected vendor, which includes the request details, desired date and time, and user information.

[0478] Step 6:

[0479] The agent's terminal receives the notification from the server, and the agent selects whether to "accept" or "reject" the request. The agent's terminal then sends the response to the server.

[0480] Step 7:

[0481] The server receives the vendor's response and determines the next action based on the response. If the vendor accepts the request, the server sends a confirmation notification to the user's terminal. If the vendor rejects the request, the server sends another notification to the vendor with the next highest priority.

[0482] Step 8:

[0483] The server sends a confirmation notice to the user's device, which displays the confirmation notice to inform the user that the request has been officially confirmed.

[0484] Step 9:

[0485] On the day of the work, the contractor's terminal sends a start notification to the server when the work starts. The server receives the work start notification and reflects the information on the user's progress screen.

[0486] Step 10:

[0487] When the contractor's terminal completes the work, it sends a completion notice to the server. The server receives the work completion notice and sends it to the user's terminal.

[0488] Step 11:

[0489] The user's device receives the notification of completion of the work and displays an evaluation screen for the user, who then enters their evaluation and feedback for the service.

[0490] Step 12:

[0491] The device sends the user's evaluation data to the server, which stores the data in a database and uses it to select future contractors.

[0492] Through the above steps, a system is realized that efficiently processes user requests and provides optimal housekeeping services.

[0493] Example 1

[0494] Next, a description will be given of Example 1. In the following description, the data processing device 12 will be referred to as a "server" and the smart glasses 214 will be referred to as a "terminal."

[0495] Conventional housekeeping services have had the problem that users have to manually select a service provider and then adjust schedules and manage progress, which is time-consuming and laborious. Furthermore, if there is a lack of information to select the most suitable service provider, the quality of the service can be inconsistent. The present invention aims to solve these problems and provide a system that allows users to efficiently request and use housekeeping services.

[0496] The specific processing by the specific processing unit 290 of the data processing device 12 in the first embodiment is realized by the following means.

[0497] In this invention, the server includes a user input means for the user to input the request details and desired date and time, a server means for receiving the input data from the user input means and storing it in a storage device, and a selection means for the server means to acquire agent information from the storage device and select the agent most suitable for the request. This allows the user to easily request a service, and the server to automatically select the most suitable agent and notify the user.

[0498] The "user input means" is an interface through which the user inputs the request details and desired date and time.

[0499] The "server means" is a server function that receives input data from the user input means and stores it in a storage device.

[0500] A "memory device" is a database or storage device for saving data.

[0501] The "selection means" is a function in which the server means acquires information on agents from the storage device and selects the agent that best suits the request.

[0502] The "notification means" is a function for sending a request notification to the selected trader and receiving a response from the trader.

[0503] The "determination notification means" is a function that transmits a determination notification from the notification means to the user terminal.

[0504] The "progress management means" is a function that manages the work progress of the contractor and notifies the user and the server.

[0505] The "feedback means" is an interface that allows the user to input an evaluation after completing a task.

[0506] The "storage means" is a function that stores the evaluation data from the feedback means in a storage device and uses it for future contractor selection.

[0507] The "AI algorithm" is an artificial intelligence technology that selects the most suitable contractor by taking into account contractor ratings, past performance, and availability.

[0508] This invention is a system for efficiently requesting and providing housekeeping services. This system allows users to easily request services and uses an AI algorithm to select the most suitable housekeeping service provider, eliminating the cumbersome procedures that have traditionally been required.

[0509] Accepting user requests

[0510] When a user requests housekeeping services through an application or web portal, they input the details of the request (e.g., cleaning, laundry) and the desired date and time (e.g., October 10, 2023, 9:00 AM). The device then sends this input data to the server, which then stores the received data in a storage device. This process uses HTTP requests and database management systems (e.g., MySQL, PostgreSQL).

[0511] Analyzing requirements and selecting the best contractor

[0512] The server analyzes the request received from the user and, based on the analysis results, retrieves information about the housekeeping service providers (such as their ratings, past performance, and availability) from the storage device.The server then analyzes this information using an AI algorithm (e.g., a machine learning model using TensorFlow or PyTorch) to select the service provider that best meets the user's requirements. Specifically, a Python script is run on the server, retrieves information from the database, and scores it using the machine learning model.

[0513] Notifying vendors and coordinating schedules

[0514] The server sends a notification of the request details to the selected contractor. This notification is delivered to the contractor's device via push notification or email. When the contractor confirms the request, the contractor's device sends a response of "accept" or "reject" to the server. The server receives this response, and if the contractor accepts the request, it sends a confirmation notification to the user's device. If the contractor rejects the request, a notification is sent to the contractor with the next highest priority. Specifically, notifications and responses are exchanged using REST APIs or message queues (e.g., RabbitMQ).

[0515] Work progress management

[0516] On the day of the work, the contractor's device notifies the server when the work begins. The server reflects this information on the user's progress screen. When the work is completed, the contractor's device sends a completion notification to the server, which then notifies the user. Progress management may use real-time communication technology (e.g., WebSocket).

[0517] Feedback and Ratings

[0518] After completing the task, the user's device displays an evaluation screen. The user enters their rating and feedback for the service, which the device then sends to the server. The server stores the received rating data in a storage device and uses it to select future contractors. Specifically, when the user enters comments and star ratings into the evaluation form within the app and presses the "Submit" button, the content is saved on the server.

[0519] Specific example explanation

[0520] A user types, "I'd like cleaning done tomorrow at 9 o'clock." This request is sent to the server and stored in a storage device. The server uses an AI algorithm to score the highly rated contractors A, B, and C, and sends a notification to contractor A. Contractor A receives the notification on their smartphone, and selects "Accept" in the app. Based on this information, the server sends a confirmation notification to the user's device stating, "Contractor A will come to clean at 9 o'clock." On the day of the job, contractor A selects "Start work" in the app, and when the job is complete, selects "Complete." Each time, the server updates the status and notifies the user. Finally, the user enters a rating of "Very satisfied" in the app, and the server saves this in a storage device.

[0521] In this way, the present invention realizes a system that reduces the burden on users and provides housekeeping services efficiently.

[0522] The flow of the identification process in the first embodiment will be described with reference to FIG.

[0523] Step 1:

[0524] The user enters the request details (e.g., cleaning, laundry) and desired date and time (e.g., October 10, 2023, 9:00) into the application or web portal input form and presses the "Submit" button. This sends the input data from the terminal to the server. The server receives this input data and stores it in a database. The input data specifically includes the request details and date and time information, and the output is the data stored in the database.

[0525] Step 2:

[0526] The server retrieves the user's request from the database and analyzes it. Based on the results of this analysis, it retrieves information about the housekeeping service providers (such as their ratings, past performance, and availability) from the database. Natural Language Processing (NLP) technology is used for the analysis, and the results are output as structured data. The server then uses an AI algorithm (e.g., TensorFlow or PyTorch) to perform scoring based on the retrieved service provider information. The input is the user's request and service provider information, and the output is a list of the most suitable service providers.

[0527] Step 3:

[0528] The server sends a request notification to the selected contractor. This notification is delivered to the contractor's device via push notification or email. The contractor's device receives the notification, and after the contractor confirms the request, sends a response of "accept" or "reject" to the server. The input is the notification content from the server, and the output is the contractor's response (accept / reject). Specifically, notifications and responses are exchanged using a REST API or message queue (e.g., RabbitMQ).

[0529] Step 4:

[0530] The server receives the agent's response, and if the agent accepts the request, it sends a confirmation notification to the user's terminal. If the agent rejects the request, it resends the notification to the agent with the next highest priority. The input is the agent's response, and the output is a confirmation notification to the user. Specifically, when the response is accepted, the server updates the ongoing task and notifies the user.

[0531] Step 5:

[0532] On the day of work, the contractor's device notifies the server when work begins. The server reflects this information in real time on the user's progress screen. Specifically, real-time communication is performed using WebSocket to notify the user of progress. The input is the contractor's work start notification, and the output is an update to the user's progress screen.

[0533] Step 6:

[0534] When the work is completed, the contractor's terminal sends a completion notification to the server, and the server notifies the user. The input is the contractor's work completion notification, and the output is the completion notification to the user.

[0535] Step 7:

[0536] After completing the task, the user's device displays an evaluation screen. The user enters their evaluation and feedback on the service. The device sends this to the server. The server stores the received evaluation data in a database and uses it for future vendor selection. The input is the user's evaluation data, and the output is evaluation information stored in the database.

[0537] Specific example explanation

[0538] A user enters, "I'd like cleaning done tomorrow at 9am." This request is sent to the server and saved in a database. The server uses an AI algorithm to select highly rated contractors A, B, and C, and first sends a notification to contractor A. Contractor A receives the notification and replies, "Accept." Based on this information, the server sends a confirmation notification to the user's device stating, "Contractor A will come to clean at 9am." On the day of the job, contractor A selects "Start work" and "Complete" within the app, and the server notifies the user of progress and completion in real time. Finally, the user enters a rating of "Very satisfied," and the server saves this in the database.

[0539] This system allows users to efficiently request and use housekeeping services, freeing them from cumbersome procedures.

[0540] (Application example 1)

[0541] Next, a description will be given of Application Example 1. In the following description, the data processing device 12 will be referred to as a "server" and the smart glasses 214 will be referred to as a "terminal."

[0542] The present invention aims to provide a system that allows users to easily and efficiently select the most suitable housekeeping service provider when requesting a housekeeping service. It also aims to improve service quality by tracking the progress of work in real time, collecting evaluation data, and using it to select future service providers. In particular, the present invention aims to improve the user experience by utilizing smart devices.

[0543] The specific processing by the specific processing unit 290 of the data processing device 12 in the application example 1 is realized by the following means.

[0544] In this invention, the server includes an information input means through which a user inputs the request details and desired date and time; a data storage means for receiving the input data from the information input means and storing it in a data storage; an optimization means for the data storage means to retrieve contractor information from the data storage and select a contractor best suited to the request; a response management means for sending a request notification to the contractor selected by the optimization means and receiving a response from the contractor; a determination notification means for sending a determination notification from the response management means to a user terminal; a progress monitoring means for monitoring the contractor's work progress and notifying the user and the data storage means; an evaluation input means through which the user inputs an evaluation after the work is completed; a data analysis means for saving the evaluation data from the evaluation input means in a data storage and using it to select a contractor in the future; and a smart device-compatible interface that allows the user to request services using a smart device and monitor and check the progress in real time. This allows users to easily request housekeeping services via the Internet and check the progress of the work in real time. Furthermore, the evaluation data is used to more appropriately select the next contractor, which is expected to improve service quality.

[0545] The "information input means" refers to a device or interface that allows the user to input the request details and desired date and time.

[0546] The "data storage means" is a device or system that stores input data received from the information input means in data storage.

[0547] The "optimization means" is a device or system that selects the best vendor to meet the user's requirements based on vendor information acquired from the data storage by the data storage means.

[0548] The "response management means" is a device or system that sends a request notification to the provider selected by the optimization means and receives a response from the provider.

[0549] The "determination notification means" is a device or system that transmits a determination notification from the response management means to the user terminal.

[0550] The "progress monitoring means" is a device or system that monitors the work progress of the contractor and notifies the user and the data storage means.

[0551] The "evaluation input means" is a device or interface that allows a user to input an evaluation after completing a task.

[0552] The "data analysis means" is a device or system that stores the evaluation data from the evaluation input means in data storage and uses it for future contractor selection.

[0553] A "smart device-enabled interface" is a device or system that allows a user to use a smart device to submit a service request and monitor and review progress in real time.

[0554] The present invention is a system for improving the convenience of users of housekeeping services. The system is designed to enable users to easily request services, select appropriate contractors, monitor progress in real time, and provide feedback on evaluation information.

[0555] System configuration

[0556] 1. Information input method

[0557] This is a device or interface through which a user inputs the details of their request and the desired date and time. For example, it uses an application on a smart device such as a smartphone or tablet, or a web portal.

[0558] 2. Data storage method

[0559] A device or system that receives input data from an information input means and stores it in data storage. Data is stored in a cloud database or a local server.

[0560] 3. Optimization Methods

[0561] This is a device or system that selects the best contractor for the user's needs based on contractor information acquired from the data storage. It uses an AI algorithm to comprehensively consider past performance, evaluations, and availability.

[0562] 4. Response Management Measures

[0563] This is a device or system that sends a request notification to the vendor selected by the optimization means and receives a response from the vendor. It sends a notification in real time and confirms the vendor's acceptance.

[0564] 5. Confirmation notification method

[0565] This is a device or system that sends a confirmation notification from the response management means to the user terminal, and notifies the schedule and vendor information after the user has confirmed the request content.

[0566] 6. Progress Monitoring Methods

[0567] This is a device or system that monitors the work progress of contractors and notifies users and data storage means. The progress status is displayed in real time so that users can check it.

[0568] 7. Evaluation Input Method

[0569] This is a device or interface that allows users to input and submit evaluations after completing a task. Evaluations are entered and submitted using a smart device.

[0570] 8. Data Analysis Methods

[0571] This is a device or system that stores the evaluation data from the evaluation input means in data storage and uses it for future contractor selection, making it possible to evaluate and improve contractors.

[0572] 9. Smart device compatible interface

[0573] A device or system that allows users to use their smart devices to submit service requests and monitor and review progress in real time, using a mobile application or web-based dashboard.

[0574] Specific examples

[0575] A user uses a smartphone app to input a request, saying, "I would like cleaning done at 9:00 on October 10, 2023." This request is sent to the server and saved in data storage. The server uses an AI algorithm to select a highly rated contractor through optimization means. Contractors A and B are considered as highly rated contractors, and B accepts the request. The response management means sends a confirmation notice to the user's terminal based on this information. On the day of the work, the progress of contractor B is monitored in real time through progress monitoring means, and the user can check the progress using a smart device-compatible interface. After the work is completed, the user uses the evaluation input means to input a rating of "very satisfied," and this evaluation data is used by data analysis means to select a contractor in the future.

[0576] Prompt Sentence Examples

[0577] Below are some example prompts to input to a generative AI model:

[0578] User Request:

[0579] Service Type:Cleaning

[0580] Desired time: October 10, 2023 9:00

[0581] Information for provider selection based on AI algorithms:

[0582] Provider A: Rating 4.5, Available time: October 10, 2023, 9:00 AM

[0583] Provider B: Rating 4.7, Available time: October 10, 2023, 9:00 AM

[0584] Provider C: Rating 4.3, Available time: October 10, 2023, 9:00 AM

[0585] Selected provider: Provider B

[0586] This system allows users to easily request housekeeping services via the Internet and check the progress of the work in real time. In addition, the evaluation data will be used to more appropriately select the next contractor, which is expected to improve service quality.

[0587] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[0588] Step 1:

[0589] The user uses a smart device to input the details of the request for housekeeping services and the desired date and time.

[0590] Input: Service type, desired date and time (e.g. cleaning, October 10, 2023, 9:00).

[0591] Operation: The user terminal sends these input data to the server.

[0592] Step 2:

[0593] The server receives input data from the user and stores it in a data storage.

[0594] Input: Request details and desired date and time sent by the user.

[0595] Data processing: The input data is stored in the appropriate table in the data storage.

[0596] Action: The server performs a write operation to the database.

[0597] Step 3:

[0598] The server retrieves vendor information from data storage and selects the most suitable vendor based on an AI algorithm.

[0599] Input: Contractor information in data storage (contractor ratings, past performance, availability).

[0600] Data calculation: Using an AI algorithm, the most suitable contractor is calculated taking into account ratings, track record, and availability.

[0601] How it works: The server calls the AI ​​model, analyzes vendor information, and selects the most suitable vendor.

[0602] Step 4:

[0603] The server sends a request notification to the selected vendor and monitors responses from the vendor.

[0604] Input: Contact information of the selected vendor and your request.

[0605] Operation: The server sends a notification to the merchant's terminal and waits for an "accept" or "reject" response from the merchant.

[0606] Step 5:

[0607] The server receives the response from the vendor and sends a confirmation notice to the user.

[0608] Input: Merchant response data.

[0609] Operation: If the response is "accepted," the server sends a confirmation notice to the user terminal; if the response is "rejected," the server resends the request to the next priority provider.

[0610] Step 6:

[0611] The server monitors the contractor's work progress and notifies the user terminal in real time.

[0612] Input: Work start and completion notices from contractors.

[0613] Operation: The server receives the progress data and reflects the progress status on the user's device in real time.

[0614] Step 7:

[0615] After completing the task, the user enters a rating and sends it to the server.

[0616] Input: Rating data from users (e.g., satisfaction, comments).

[0617] Operation: The server receives evaluation data from the user terminal.

[0618] Step 8:

[0619] The server stores the evaluation data in data storage and uses it to select contractors in the future.

[0620] Input: Rating data from users.

[0621] Data Processing: Assessment data is stored and processed for aggregation or analysis.

[0622] How it works: The server stores the evaluation data in a database and prepares it for reflection in the AI ​​algorithm.

[0623] Furthermore, an emotion engine that estimates the user's emotion may be further combined. That is, the identification processing unit 290 may estimate the user's emotion using the emotion identification model 59, and perform identification processing using the user's emotion.

[0624] The present invention is a system that allows users to efficiently request and receive housekeeping services, eliminating the need for conventional complicated procedures and providing optimal services that take into consideration the user's feelings. Below, the program processing of this system is explained in natural language.

[0625] Accepting user requests

[0626] When a user requests housekeeping services through an application or web portal, they input the details of the request (e.g., cleaning) and the desired date and time (e.g., October 10, 2023, 9:00 AM). The device sends this input data to the server, which then stores the received data in a database.

[0627] Analyzing requirements and selecting the best contractor

[0628] The server analyzes the request received from the user and retrieves information about the housekeeping service provider from the database. This information includes the service provider's ratings, past performance, availability, etc. The server analyzes this information using an AI algorithm and selects the service provider that best suits the user's requirements.

[0629] Introducing the Emotion Engine

[0630] Here, we introduce an emotion engine that identifies user emotions from user input and evaluation data. The server uses this emotion engine to analyze and identify user emotions, and reflects the results in the selection of service providers and notification content.

[0631] Notifying vendors and coordinating schedules

[0632] The server sends a request notification to the selected provider. The notification includes the request details, desired date and time, and user information. When the provider confirms the request, the provider's terminal selects "Accept" or "Reject" and sends the response to the server.

[0633] Confirmation and Emotional Reflection

[0634] The server receives the vendor's response and decides the next action based on the response. If the vendor accepts the request, the server sends a confirmation notification to the user that reflects the analysis results of the emotion engine. If the vendor rejects the request, the server sends another notification to the vendor with the next highest priority.

[0635] Work progress management

[0636] On the day of the work, the contractor's terminal sends a start notification to the server when the work begins. The server receives the work start notification and reflects that information on the user's progress screen. When the work is completed, the contractor's terminal sends a completion notification to the server, which notifies the user.

[0637] Leveraging feedback and emotion engines

[0638] After completing the task, the user's device displays a rating screen. The user enters their rating and feedback for the service, which is then sent to the server. The server not only stores the received rating data in a database, but also analyzes the user's emotions using an emotion engine and automatically adjusts the rating data.

[0639] Specific example explanation

[0640] A user enters, "I'd like cleaning done tomorrow at 9 o'clock." This request is sent to the server and saved in a database. The server uses an AI algorithm and emotion engine to select highly rated contractors A, B, and C. First, a notification is sent to contractor A, who replies, "Accept." Based on this information, the server reflects the results of the emotion engine and sends a confirmation notification to the user, stating, "Contractor A will come to clean at 9 o'clock." Contractor A begins the work and, once it is completed, the server manages its progress and notifies the user. Finally, the user enters a rating and feedback, saying, "Very satisfied," which the server saves in a database and analyzes using the emotion engine to use in selecting contractors for future projects.

[0641] In this way, the present invention realizes a system that reduces the burden on users, provides efficient housekeeping services, and improves the quality of services by taking into account the feelings of the users.

[0642] The processing flow will be explained below.

[0643] Step 1:

[0644] The user launches the application or web portal and enters the details of the housekeeping service request (e.g., cleaning) and the desired date and time (e.g., 9:00 on October 10, 2023). The device then sends this input data to the server.

[0645] Step 2:

[0646] The server stores the input data received from the user in a database, including the request details, desired date and time, and user information.

[0647] Step 3:

[0648] The server accesses the database and analyzes the saved request. The server extracts the request details, desired date and time, and the user's request, and sends this information to the emotion engine.

[0649] Step 4:

[0650] The emotion engine analyzes the user's request and identifies the user's emotion. The emotion identification result is sent to the server.

[0651] Step 5:

[0652] The server retrieves information about the housekeeping service providers' ratings, past performance, and availability from the database, and the AI ​​algorithm then selects the most suitable provider based on this information.

[0653] Step 6:

[0654] The server then sends a request notification to the selected service provider, which includes the request details, desired date and time, user information, and emotion recognition results.

[0655] Step 7:

[0656] The agent's terminal receives the notification from the server, and the agent selects whether to "accept" or "reject" the request. The agent's terminal then sends the response to the server.

[0657] Step 8:

[0658] The server receives the vendor's response and determines the next action based on the response. If the vendor accepts the request, a confirmation notice is sent to the user's terminal. If the vendor rejects the request, another notice is sent to the vendor with the next highest priority.

[0659] Step 9:

[0660] The server sends a confirmation notice to the user's device, which displays the confirmation notice to inform the user that the request has been officially confirmed.

[0661] Step 10:

[0662] On the day of the work, the contractor's terminal sends a start notification to the server when the work starts. The server receives the work start notification and reflects the information on the user's progress screen.

[0663] Step 11:

[0664] When the contractor's terminal completes the work, it sends a completion notice to the server. The server receives the work completion notice and sends it to the user's terminal.

[0665] Step 12:

[0666] The user's device receives the notification of the completion of the task and displays an evaluation screen to the user. The user enters an evaluation and feedback for the service, which the device then sends to the server.

[0667] Step 13:

[0668] The server stores the received evaluation data in a database. The emotion engine analyzes the evaluation data and re-evaluates the user's emotions.

[0669] Step 14:

[0670] The emotion engine automatically adjusts the evaluation data based on the user's emotions and uses it for future vendor selection. The server stores this adjusted evaluation data in a database.

[0671] Through the above steps, a system is realized that processes user requests efficiently and with consideration for their feelings, providing optimal housekeeping services.

[0672] Example 2

[0673] Next, a description will be given of Example 2. In the following description, the data processing device 12 will be referred to as a "server" and the smart glasses 214 will be referred to as a "terminal."

[0674] Conventional housekeeping service request systems not only require users to input the details of their request and the desired date and time, but also do not sufficiently consider the user's feelings or evaluations when selecting a service provider, resulting in a decline in user satisfaction.

[0675] The identification process by the identification processing unit 290 of the data processing device 12 in Example 2 is realized by the following means. In this invention, the server includes: a user input means through which a user inputs request details and a desired date and time; a server means for receiving input data from the user input means and storing the input data in a database; a selection means through which the server means acquires information about service providers from the database and selects a provider best suited to the request; a sentiment analysis means for analyzing the request details and user evaluation data using an emotion engine and reflecting the results in the selection result; a notification means for sending a request notification to the provider selected by the selection means and receiving a response from the provider; a determination notification means for sending a determination notification from the notification means to a user terminal; a progress management means for managing the progress of the provider's work and notifying the user and the server; a feedback means through which the user inputs an evaluation after completing the work; and a storage means for storing the evaluation data from the feedback means in a database and utilizing it for future provider selection. This makes it possible to select an optimal service provider taking into consideration the user's emotions and evaluations.

[0676] "User input means" refers to an interface such as a device, application, or web portal that allows a user to input the request details and desired date and time.

[0677] "Server means" refers to a computer system that receives input data from a user input means and stores the data in a database.

[0678] The "selection means" refers to the function of the server means to obtain information on service providers from the database and select the provider that best suits the user's request.

[0679] "Sentiment analysis means" refers to an algorithm or engine that analyzes the request content and user evaluation data, identifies the user's emotions, and reflects them in the selection results.

[0680] The "notification means" refers to a function of sending a request notification to the provider selected by the selection means and receiving a response from the provider.

[0681] The "determination notification means" refers to a function that transmits a determination notification from the notification means to the user terminal.

[0682] The "progress management means" refers to a function that manages the work progress of the provider and notifies the user and the server of that information.

[0683] "Feedback means" refers to an interface, such as a device, application, or web portal, through which a user can enter a rating after completing a task.

[0684] "Storage means" refers to the function of storing evaluation data from the feedback means in a database and using it to select future providers.

[0685] "Service provider" refers to a company or individual that provides services such as housekeeping services.

[0686] "Database" refers to a data repository for systematically storing and managing information within a system.

[0687] The "request notification" refers to a notification that includes information such as the user's request content and desired date and time, and is sent to the service provider.

[0688] "Evaluation data" refers to the evaluation or feedback that a user enters regarding a provider's service after completing a task.

[0689] "Emotion engine" refers to algorithms and programs that analyze a user's text data and identify their emotional state.

[0690] "AI algorithm" refers to a computational method for data analysis and optimization using artificial intelligence.

[0691] This invention is a system that allows users to smoothly request and receive housekeeping services. Specifically, it selects the most suitable service provider based on the request details and evaluation data entered by the user, and can notify the user in a way that takes into account their feelings.

[0692] Overall system configuration

[0693] The system consists of the following main components:

[0694] User Input Method

[0695] Server Means

[0696] Selection method

[0697] sentiment analysis tool

[0698] Notification means

[0699] Confirmation notification method

[0700] Progress management method

[0701] Feedback Methods

[0702] Preservation means

[0703] Data flow

[0704] 1. User Input Method:

[0705] Provide an interface for users to enter their request and desired date and time. This can include a smartphone app or a web portal. For example, a user might enter, "I'd like cleaning done tomorrow at 9:00."

[0706] 2. Server means:

[0707] Receives input data sent from the terminal and stores the data in a database. HTTP requests can be used for the receiving process.

[0708] 3. Selection method:

[0709] The server retrieves information about service providers from the database and uses an AI algorithm to select the service provider that best suits the user's request. Selection criteria include provider ratings, past performance, and availability. For example, it selects providers A, B, and C with high ratings.

[0710] 4. Sentiment analysis tools:

[0711] The server passes the request details and the user's evaluation data to the emotion engine, which then analyzes the results to understand the user's emotional state, such as "very satisfied" or "anxious because the deadline is approaching."

[0712] 5. Means of notification:

[0713] The server sends a request notification to the selected service provider and receives a response. The notification includes the request details and desired date and time. For example, a notification may be sent saying, "Cleaning request for October 10, 2023 at 9:00 AM."

[0714] 6. Confirmation notification method:

[0715] The server receives the provider's response and notifies the user of the confirmed schedule. Specifically, if Company A replies "Accept," the server notifies the user that "Company A will come to clean at 9 o'clock."

[0716] 7. Progress management measures:

[0717] When the contractor's terminal starts work, it sends a start notification to the server, which is reflected on the user's progress screen. When the work is completed, the contractor's terminal sends another completion notification, which the server notifies the user.

[0718] 8. Feedback methods:

[0719] The user's device provides an evaluation screen after the service is completed, and the user inputs their evaluation and feedback. For example, they can rate the service "very satisfied" and enter feedback such as "Thank you for your prompt response."

[0720] 9. Preservation means:

[0721] The server stores the evaluation data from the feedback means in a database and uses it to select future service providers, thereby improving the quality of the service by reusing the emotion engine.

[0722] Specific examples

[0723] A user enters, "I'd like cleaning done tomorrow at 9 o'clock." This request is sent to the server and saved in a database. The server uses an AI algorithm and emotion engine to select highly rated contractors A, B, and C. First, a notification is sent to contractor A, who replies, "Accept." The server uses this information to reflect the results of the emotion engine and sends a confirmation notification to the user, stating, "Contractor A will come to clean at 9 o'clock." Contractor A begins the work and, once it is completed, the server manages its progress and notifies the user. Finally, the user enters a rating and feedback, saying, "Very satisfied," and the server saves this in a database, analyzes it using the emotion engine, and uses it to select contractors for the next time and beyond.

[0724] Prompt Sentence Examples

[0725] "Devourite a program for a system that reflects the user's emotions and provides the most appropriate housekeeping service. Please explain the entire process, from the user entering the details of the request and the desired date and time, to the user entering feedback after the task is completed."

[0726] In this way, the present invention realizes a system that reduces the burden on users, provides efficient housekeeping services, and improves the quality of services by taking into account the feelings of the users.

[0727] The flow of the identification process in the second embodiment will be described with reference to FIG.

[0728] Step 1:

[0729] The user inputs the requested details of the housekeeping service and the desired date and time.

[0730] Specific operation: The user logs in to the dedicated app or web portal, enters the request details (e.g., cleaning) and desired date and time (e.g., October 10, 2023, 9:00), and presses the "Send" button.

[0731] Input: Request details, desired date and time

[0732] Output: The request details and desired date and time are sent from the terminal to the server.

[0733] Step 2:

[0734] The terminal transmits the received input data to the server, which stores the data in a database.

[0735] Specific operation: The terminal sends the request details and desired date and time data to the server via an HTTP request, and the server stores it in a database.

[0736] Input: Request details and desired date and time data

[0737] Output: Request details and desired date and time stored in the database.

[0738] Step 3:

[0739] The server retrieves information about service providers from the database and selects the most suitable provider based on the request data.

[0740] Specific operation: The server retrieves information such as provider ratings, past performance, and availability from the database, and uses an AI algorithm to select the most suitable provider.

[0741] Input: Provider information stored in the database and user request data

[0742] Output: A list of the best providers

[0743] Step 4:

[0744] The server passes the request content and the user's evaluation data to the emotion engine to analyze the user's emotions.

[0745] Specific operation: The server uses an emotion engine to analyze the request content and past evaluation data to identify the user's emotional state.

[0746] Input: Request details, evaluation data

[0747] Output: User's emotional state

[0748] Step 5:

[0749] The server sends a request notification to the provider based on the selection results and sentiment analysis results, and receives a response.

[0750] Specific operation: The server sends the notification content (request content, desired date and time, and sentiment analysis results) to the provider's terminal, and the provider sends a response of "accept" or "reject."

[0751] Input: list of optimal donors, emotional state

[0752] Output: Provider response

[0753] Step 6:

[0754] The server receives the response from the provider and notifies the user of the confirmed schedule.

[0755] Specific operation: If the provider replies "accept," the server notifies the user that "a cleaning company will come to clean the room at 9 o'clock." If the provider rejects the request, the server sends another notification to the next provider.

[0756] Input: Provider response

[0757] Output: Confirmation notification to user

[0758] Step 7:

[0759] When the contractor's terminal starts work, it sends a start notification to the server and manages the work progress.

[0760] Specific operation: The contractor's device presses the "Start work" button, the server receives it and reflects it on the user's progress screen. When the work is completed, a "Completion notification" is sent in the same way.

[0761] Input: Work start notification, completion notification

[0762] Output: Reflection on the user's progress screen

[0763] Step 8:

[0764] The user's terminal displays an evaluation screen after the task is completed, and the user inputs an evaluation and feedback.

[0765] Specific action: The user rates the service as "Very satisfied" and enters feedback such as "Thank you for your quick response" and submits the response.

[0766] Input: User ratings and feedback

[0767] Output: The rating data is sent to the server and stored in a database.

[0768] Step 9:

[0769] The server stores the evaluation data in a database and uses an emotion engine to reflect this in future provider selection.

[0770] Specific operation: The server stores the evaluation data in a database, analyzes it using an emotion engine, and uses it to select the most suitable provider in future.

[0771] Input: Evaluation data

[0772] Output: Improved accuracy of selecting the optimal provider

[0773] (Application example 2)

[0774] Next, a description will be given of Application Example 2. In the following description, the data processing device 12 will be referred to as a "server" and the smart glasses 214 will be referred to as a "terminal."

[0775] When requesting a housekeeping service, users must go through complicated procedures and spend a lot of time and effort selecting the most suitable service provider. Furthermore, conventional systems do not take into account the user's feelings, which may affect the quality of the service. Furthermore, the inefficient service provider selection process makes it difficult to improve user satisfaction.

[0776] The specific processing by the specific processing unit 290 of the data processing device 12 in the application example 2 is realized by the following means.

[0777] In this invention, the server includes: a user input means for accepting a user's request; a server means for receiving input data from the user input means and saving it in a database; a selection means for retrieving information on business support providers from the database and selecting the provider best suited to the request; a notification means for sending a request notification to the selected provider and receiving a response from the provider; a determination notification means for sending a determination notification to the user terminal; a progress management means for managing the progress of the provider and notifying the user and the server; a feedback means for the user to input an evaluation after the completion of the work; a storage means for saving the evaluation data from the feedback means in a database and using it for future provider selection; an emotion analysis means for analyzing emotions from the user's input and reflecting the results in the provider selection and notification content; and a suggestion means for using an AI algorithm to suggest the best provider taking the user's emotions into consideration when selecting a provider. This allows users to easily request housekeeping services, and the provision of optimal services that take emotions into consideration can improve user satisfaction.

[0778] The "user input means" is an interface that allows the user to input the request details and desired date and time.

[0779] The "server means" is a server function for receiving input data from the user input means and storing it in a database.

[0780] The "selection means" is a function that allows the server means to obtain information on business support companies from the database and select the company that best suits the request.

[0781] The "notification means" is a function for sending a request notification to the trader selected by the selection means and receiving a response from the trader.

[0782] The "determination notification means" is a function for transmitting a determination notification from the notification means to the user terminal.

[0783] The "progress management means" is a function for managing the work progress of the contractor and notifying the user and the server.

[0784] The "feedback means" is an interface that allows the user to input an evaluation after completing a task.

[0785] The "storage means" is a function for storing evaluation data from the feedback means in a database and utilizing it for future contractor selection.

[0786] The "emotion analysis means" is a function for analyzing the emotions from the content entered by the user and reflecting the results in the selection of a company and the content of the notification.

[0787] "Suggestion method" is a function that uses an AI algorithm to suggest the most suitable contractor by taking into account the user's feelings when selecting a contractor.

[0788] The present invention is a system that allows users to efficiently request and receive housekeeping services. This system allows users to input the details of their request and the desired date and time using a device such as a smartphone or smart glasses, transmit the data to a server, and then select the most suitable company.

[0789] Accepting user requests

[0790] A user uses a user terminal such as a smartphone or smart glasses to input the details of a request for housekeeping services (e.g., cleaning or cooking) and the desired date and time. The user input means receives this input data and transmits it to the server means. The server stores the received data in a database.

[0791] Analyzing requirements and selecting the best contractor

[0792] The server analyzes the user's request and retrieves information about contractors from a database. Based on the retrieved information, the selection method uses an AI algorithm to select the most suitable contractor, taking into consideration factors such as ratings, past performance, and availability. During this process, the emotion analysis method analyzes the user's input and reflects the results in the contractor selection.

[0793] Notifying vendors and coordinating schedules

[0794] The notification means sends a request notification to the provider selected by the selection means. When the provider receives this notification, it can choose to accept or reject the request. The provider's response is sent to the server by the notification means, and the server determines the next action based on the response. If the request is accepted, the server sends a confirmation notification to the user using the confirmation notification means.

[0795] Work progress management

[0796] When the contractor starts the work, the progress management means manages the progress of the work in real time and notifies the user terminal and the server. When the work is completed, the contractor sends a completion notification to the server, and the server notifies the user of this information.

[0797] Feedback and Emotional Reflection

[0798] A feedback means is provided for users to input their evaluation after completing a task. The user inputs their evaluation and feedback on the service, and the terminal sends this to the server. The storage means stores the received evaluation data in a database and uses it for future contractor selection. Furthermore, an emotion analysis means is used to analyze the user's emotions and automatically adjust the evaluation data.

[0799] Specific example explanation

[0800] For example, a user might input, "I'd like cleaning done tomorrow at 9 o'clock." This request is sent to the server and saved in a database. The server then uses an AI algorithm and sentiment analysis means to select a highly rated contractor. The notification means sends a notification to the selected contractor, and if the contractor replies "accept," the server sends a confirmation notification reflecting the sentiment analysis results to the user. After the work begins, the progress management means notifies the user of the information in real time, and after completion, the feedback means receives an evaluation. By appropriately reflecting sentiment analysis in this series of processes, an advanced user experience and improved service quality are achieved.

[0801] Examples of application to generative AI models and prompt sentences

[0802] As an example of using a generative AI model to perform sentiment analysis in a program, the following prompt sentence is input into the AI ​​model.

[0803] "Analyze the sentiment from the user's input and select the best company.

[0804] Type: 'I'd like you to clean my room. It's not very clean, but I'd like to change that.'

[0805] Emotion analysis result: 'confused'

[0806] Best Vendor Rating: 4.9

[0807] In this way, the present invention realizes a system that provides efficient and high-quality housekeeping services by reducing the burden on users and selecting the most appropriate contractor taking their emotions into consideration.

[0808] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[0809] Step 1:

[0810] The user inputs the details of the request for housekeeping services and the desired date and time using a terminal such as a smartphone or smart glasses. The user input means receives this input data and transmits it to the server.

[0811] Input: Request details and desired date and time

[0812] Output: Request data sent to the server

[0813] Specific operations: Enter the request details (e.g., "cleaning") and desired date and time (e.g., October 10, 2023, 9:00) into the form on the device, and press the send button.

[0814] Step 2:

[0815] The server receives the user's request details and desired date and time data and stores them in a database.

[0816] Input: Request data sent from the terminal

[0817] Output: Request data stored in the database

[0818] Specific operation: The server analyzes the received data and stores it in a database management system (e.g., MySQL or PostgreSQL).

[0819] Step 3:

[0820] The server retrieves information on business support providers from the database and uses an AI algorithm to select the provider that best suits the request, taking into account the results of analyzing the user's emotions using an emotion analysis tool.

[0821] Input: Request data and vendor information stored in the database

[0822] Output: Selected best vendors

[0823] Specific operation: The server executes an AI algorithm written in Python, and selects vendor A based on the evaluation, past performance, availability, and the results of emotion analysis (e.g., "confused").

[0824] Step 4:

[0825] The server sends a request notification to the selected vendor, who receives the notification, chooses to accept or decline, and sends a response to the server.

[0826] Input: Selected best supplier

[0827] Output: Response from the merchant ('Accept' or 'Reject')

[0828] Specific operation: The server sends a notification to the vendor's device via API, and the vendor checks the notification in a dedicated application, clicks a button to accept or reject the notification, and returns the response to the server.

[0829] Step 5:

[0830] The server receives the response from the provider, and if the provider accepts, sends a confirmation notice to the user terminal.

[0831] Input: Response from vendor

[0832] Output: Confirmation notification to user

[0833] Specific operation: The server checks the response, and if the contractor selects "Accept," it sends a message to the user's terminal saying, "Contractor A will come to clean at 9 o'clock."

[0834] Step 6:

[0835] When the contractor starts work, a work start notification is sent from the terminal to the server, and the server notifies the user through the progress management means.

[0836] Input: Work Start Notice

[0837] Output: User notification that work has started

[0838] Specific operation: When the contractor's terminal presses the start work button, a start notification is sent to the server, and a notification stating "Work has started" is displayed on the user's progress screen.

[0839] Step 7:

[0840] When the contractor completes the work, the terminal sends a completion notification to the server, and the server notifies the user of this.

[0841] Input: Work Completion Notification

[0842] Output: User notification that the task is complete

[0843] Specific operation: When the contractor's terminal presses the work completion button, a completion notification is sent to the server, and a notification stating "Work completed" is displayed on the user's progress screen.

[0844] Step 8:

[0845] After completing a task, the user enters their rating and feedback, which is then sent to the server, which stores the rating data in a database.

[0846] Input: User Ratings and Feedback

[0847] Output: Evaluation data stored in a database

[0848] Specific operation: The user fills in the rating form (e.g., "5-star rating and comment") and presses the submit button. The server stores the rating in the database.

[0849] Step 9:

[0850] The server uses emotion analysis means to analyze the user's emotions based on the stored evaluation data and reflects this in future vendor selection.

[0851] Input: Evaluation data

[0852] Output: User sentiment analysis results

[0853] Specific operation: The server performs sentiment analysis on the stored evaluation data using an NLP model, and incorporates the analysis results (e.g., "satisfied") into the next vendor selection algorithm.

[0854] The specific processing unit 290 transmits the result of the specific processing to the smart glasses 214. In the smart glasses 214, the control unit 46A causes the speaker 240 to output the result of the specific processing. The microphone 238 acquires audio indicating a user input regarding the result of the specific processing. The control unit 46A transmits audio data indicating the user input acquired by the microphone 238 to the data processing device 12. In the data processing device 12, the specific processing unit 290 acquires the audio data.

[0855] The data generation model 58 is a so-called generative AI (Artificial Intelligence). An example of the data generation model 58 is ChatGPT (Internet Search<URL: https: / / openai.com / blog / chatgpt> ), Gemini (Internet search <url: https: gemini.google.com ?hl="ja">) and other generation AIs. The data generation model 58 is obtained by performing deep learning on a neural network. A prompt including an instruction is input to the data generation model 58, and inference data such as voice data indicating voice, text data indicating text, and image data indicating an image is also input. The data generation model 58 performs inference on the input inference data in accordance with the instruction indicated by the prompt, and outputs the inference result in a data format such as voice data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization.

[0856] In the above embodiment, an example in which the specific processing is performed by the data processing device 12 has been given, but the technology of the present disclosure is not limited to this, and the specific processing may be performed by the smart glasses 214.

[0857] [Third embodiment]

[0858] FIG. 5 shows an example of the configuration of a data processing system 310 according to the third embodiment.

[0859] 5, the data processing system 310 includes the data processing device 12 and a headset type terminal 314. An example of the data processing device 12 is a server.

[0860] The data processing device 12 includes a computer 22, a database 24, and a communication I / F 26. The computer 22 is an example of a "computer" according to the technology of the present disclosure. The computer 22 includes a processor 28, a RAM 30, and a storage 32. The processor 28, the RAM 30, and the storage 32 are connected to a bus 34. The database 24 and the communication I / F 26 are also connected to the bus 34. The communication I / F 26 is connected to a network 54. Examples of the network 54 include a WAN (Wide Area Network) and / or a LAN (Local Area Network).

[0861] The headset type terminal 314 includes a computer 36, a microphone 238, a speaker 240, a camera 42, a communication I / F 44, and a display 343. The computer 36 includes a processor 46, a RAM 48, and a storage 50. The processor 46, the RAM 48, and the storage 50 are connected to a bus 52. The microphone 238, the speaker 240, the camera 42, and the display 343 are also connected to the bus 52.

[0862] The microphone 238 receives instructions and the like from the user 20 by receiving voice uttered by the user 20. The microphone 238 captures the voice uttered by the user 20, converts the captured voice into audio data, and outputs it to the processor 46. The speaker 240 outputs audio in accordance with instructions from the processor 46.

[0863] Camera 42 is a small digital camera equipped with an optical system including a lens, aperture, and shutter, and an imaging element such as a CMOS (Complementary Metal-Oxide-Semiconductor) image sensor or a CCD (Charge Coupled Device) image sensor, and captures images of the surroundings of user 20 (for example, an imaging range defined by an angle of view equivalent to the field of vision of a typical healthy person).

[0864] The communication I / F 44 is connected to a network 54. The communication I / Fs 44 and 26 control the exchange of various information between the processor 46 and the processor 28 via the network 54. The exchange of various information between the processor 46 and the processor 28 using the communication I / Fs 44 and 26 is carried out in a secure state.

[0865] Fig. 6 shows an example of the main functions of the data processing device 12 and the headset type terminal 314. As shown in Fig. 6, in the data processing device 12, a specific process is performed by the processor 28. A specific process program 56 is stored in the storage 32.

[0866] The specific processing program 56 is an example of a "program" according to the technology of the present disclosure. The processor 28 reads the specific processing program 56 from the storage 32 and executes the read specific processing program 56 on the RAM 30. The specific processing is realized by the processor 28 operating as a specific processing unit 290 in accordance with the specific processing program 56 executed on the RAM 30.

[0867] The storage 32 stores a data generation model 58 and an emotion identification model 59. The data generation model 58 and the emotion identification model 59 are used by the identification processing unit 290.

[0868] In the headset type terminal 314, a reception output process is performed by the processor 46. A reception output program 60 is stored in the storage 50. The processor 46 reads the reception output program 60 from the storage 50 and executes the read reception output program 60 on the RAM 48. The reception output process is realized by the processor 46 operating as the control unit 46A in accordance with the reception output program 60 executed on the RAM 48.

[0869] Next, a description will be given of the identification process performed by the identification processing unit 290 of the data processing device 12. In the following description, the data processing device 12 will be referred to as the "server" and the headset type terminal 314 will be referred to as the "terminal."

[0870] This invention is a system for efficiently requesting and providing housekeeping services. This system allows users to easily request services and uses an AI algorithm to select the most suitable housekeeping service provider, eliminating the cumbersome procedures that have traditionally been required. Below, the program processing of this system is explained in natural language.

[0871] Accepting user requests

[0872] When a user requests housekeeping services through an application or web portal, they input the details of the request (e.g., cleaning, laundry) and the desired date and time (e.g., October 10, 2023, 9:00 AM). The device then sends this input data to the server, which then stores the received data in a database.

[0873] Analyzing requirements and selecting the best contractor

[0874] The server analyzes the request received from the user and retrieves information about the housekeeping service provider from the database. This information includes the service provider's ratings, past performance, availability, etc. The server analyzes this information using an AI algorithm and selects the service provider that best suits the user's requirements.

[0875] Notifying vendors and coordinating schedules

[0876] The server sends a notification of the request to the selected vendor. Once the vendor confirms the request, the vendor's terminal sends a reply of "accept" or "reject" to the server. The server receives this reply, and if the vendor accepts the request, it sends a confirmation notification to the user. If the vendor rejects the request, the notification is resent to the vendor with the next highest priority.

[0877] Work progress management

[0878] On the day of the work, the contractor's terminal notifies the server when the work begins. The server reflects this information on the user's progress screen. When the work is completed, the contractor's terminal sends a completion notification to the server, which then notifies the user.

[0879] Feedback and Ratings

[0880] After the work is completed, the user's device displays an evaluation screen. The user enters their evaluation and feedback on the service, which is then sent to the server. The server stores the received evaluation data in a database and uses it to select future contractors.

[0881] Specific example explanation

[0882] A user enters, "I'd like cleaning done tomorrow at 9 o'clock." This request is sent to the server and saved in a database. The server uses an AI algorithm to select highly rated contractors A, B, and C. First, a notification is sent to contractor A, who replies, "Accept." Based on this information, the server sends a confirmation notification to the user's device stating, "Contractor A will come to clean at 9 o'clock." Contractor A begins the work, and once it is completed, the server manages its progress and notifies the user. Finally, the user enters a rating of "Very satisfied," which the server saves in the database and uses to select contractors from next time onwards.

[0883] In this way, the present invention realizes a system that reduces the burden on users and provides housekeeping services efficiently.

[0884] The processing flow will be explained below.

[0885] Step 1:

[0886] The user launches the application or web portal and enters the details of the housekeeping service request (e.g., cleaning) and the desired date and time (e.g., 9:00 on October 10, 2023). The device then sends this input data to the server.

[0887] Step 2:

[0888] The server stores the input data received from the user in a database, including the request details, desired date and time, and user information.

[0889] Step 3:

[0890] The server accesses the database and analyzes the saved request details, specifically extracting the request details, desired date and time, and the service details required by the user.

[0891] Step 4:

[0892] The server retrieves information about housekeeping service providers' ratings, past performance, and availability from the database, and the AI ​​algorithm then selects the most suitable provider based on this information.

[0893] Step 5:

[0894] The server then sends a request notification to the selected vendor, which includes the request details, desired date and time, and user information.

[0895] Step 6:

[0896] The agent's terminal receives the notification from the server, and the agent selects whether to "accept" or "reject" the request. The agent's terminal then sends the response to the server.

[0897] Step 7:

[0898] The server receives the vendor's response and determines the next action based on the response. If the vendor accepts the request, the server sends a confirmation notification to the user's terminal. If the vendor rejects the request, the server sends another notification to the vendor with the next highest priority.

[0899] Step 8:

[0900] The server sends a confirmation notice to the user's device, which displays the confirmation notice to inform the user that the request has been officially confirmed.

[0901] Step 9:

[0902] On the day of the work, the contractor's terminal sends a start notification to the server when the work starts. The server receives the work start notification and reflects the information on the user's progress screen.

[0903] Step 10:

[0904] When the contractor's terminal completes the work, it sends a completion notice to the server. The server receives the work completion notice and sends it to the user's terminal.

[0905] Step 11:

[0906] The user's device receives the notification of completion of the work and displays an evaluation screen for the user, who then enters their evaluation and feedback for the service.

[0907] Step 12:

[0908] The device sends the user's evaluation data to the server, which stores the data in a database and uses it to select future contractors.

[0909] Through the above steps, a system is realized that efficiently processes user requests and provides optimal housekeeping services.

[0910] Example 1

[0911] Next, a description will be given of Example 1. In the following description, the data processing device 12 will be referred to as a "server" and the headset type terminal 314 will be referred to as a "terminal."

[0912] Conventional housekeeping services have had the problem that users have to manually select a service provider and then adjust schedules and manage progress, which is time-consuming and laborious. Furthermore, if there is a lack of information to select the most suitable service provider, the quality of the service can be inconsistent. The present invention aims to solve these problems and provide a system that allows users to efficiently request and use housekeeping services.

[0913] The specific processing by the specific processing unit 290 of the data processing device 12 in the first embodiment is realized by the following means.

[0914] In this invention, the server includes a user input means for the user to input the request details and desired date and time, a server means for receiving the input data from the user input means and storing it in a storage device, and a selection means for the server means to acquire agent information from the storage device and select the agent most suitable for the request. This allows the user to easily request a service, and the server to automatically select the most suitable agent and notify the user.

[0915] The "user input means" is an interface through which the user inputs the request details and desired date and time.

[0916] The "server means" is a server function that receives input data from the user input means and stores it in a storage device.

[0917] A "memory device" is a database or storage device for saving data.

[0918] The "selection means" is a function in which the server means acquires information on agents from the storage device and selects the agent that best suits the request.

[0919] The "notification means" is a function for sending a request notification to the selected trader and receiving a response from the trader.

[0920] The "determination notification means" is a function that transmits a determination notification from the notification means to the user terminal.

[0921] The "progress management means" is a function that manages the work progress of the contractor and notifies the user and the server.

[0922] The "feedback means" is an interface that allows the user to input an evaluation after completing a task.

[0923] The "storage means" is a function that stores the evaluation data from the feedback means in a storage device and uses it for future contractor selection.

[0924] The "AI algorithm" is an artificial intelligence technology that selects the most suitable contractor by taking into account contractor ratings, past performance, and availability.

[0925] This invention is a system for efficiently requesting and providing housekeeping services. This system allows users to easily request services and uses an AI algorithm to select the most suitable housekeeping service provider, eliminating the cumbersome procedures that have traditionally been required.

[0926] Accepting user requests

[0927] When a user requests housekeeping services through an application or web portal, they input the details of the request (e.g., cleaning, laundry) and the desired date and time (e.g., October 10, 2023, 9:00 AM). The device then sends this input data to the server, which then stores the received data in a storage device. This process uses HTTP requests and database management systems (e.g., MySQL, PostgreSQL).

[0928] Analyzing requirements and selecting the best contractor

[0929] The server analyzes the request received from the user and, based on the analysis results, retrieves information about the housekeeping service providers (such as their ratings, past performance, and availability) from the storage device.The server then analyzes this information using an AI algorithm (e.g., a machine learning model using TensorFlow or PyTorch) to select the service provider that best meets the user's requirements. Specifically, a Python script is run on the server, retrieves information from the database, and scores it using the machine learning model.

[0930] Notifying vendors and coordinating schedules

[0931] The server sends a notification of the request details to the selected contractor. This notification is delivered to the contractor's device via push notification or email. When the contractor confirms the request, the contractor's device sends a response of "accept" or "reject" to the server. The server receives this response, and if the contractor accepts the request, it sends a confirmation notification to the user's device. If the contractor rejects the request, a notification is sent to the contractor with the next highest priority. Specifically, notifications and responses are exchanged using REST APIs or message queues (e.g., RabbitMQ).

[0932] Work progress management

[0933] On the day of the work, the contractor's device notifies the server when the work begins. The server reflects this information on the user's progress screen. When the work is completed, the contractor's device sends a completion notification to the server, which then notifies the user. Progress management may use real-time communication technology (e.g., WebSocket).

[0934] Feedback and Ratings

[0935] After completing the task, the user's device displays an evaluation screen. The user enters their rating and feedback for the service, which the device then sends to the server. The server stores the received rating data in a storage device and uses it to select future contractors. Specifically, when the user enters comments and star ratings into the evaluation form within the app and presses the "Submit" button, the content is saved on the server.

[0936] Specific example explanation

[0937] A user types, "I'd like cleaning done tomorrow at 9 o'clock." This request is sent to the server and stored in a storage device. The server uses an AI algorithm to score the highly rated contractors A, B, and C, and sends a notification to contractor A. Contractor A receives the notification on their smartphone, and selects "Accept" in the app. Based on this information, the server sends a confirmation notification to the user's device stating, "Contractor A will come to clean at 9 o'clock." On the day of the job, contractor A selects "Start work" in the app, and when the job is complete, selects "Complete." Each time, the server updates the status and notifies the user. Finally, the user enters a rating of "Very satisfied" in the app, and the server saves this in a storage device.

[0938] In this way, the present invention realizes a system that reduces the burden on users and provides housekeeping services efficiently.

[0939] The flow of the identification process in the first embodiment will be described with reference to FIG.

[0940] Step 1:

[0941] The user enters the request details (e.g., cleaning, laundry) and desired date and time (e.g., October 10, 2023, 9:00) into the application or web portal input form and presses the "Submit" button. This sends the input data from the terminal to the server. The server receives this input data and stores it in a database. The input data specifically includes the request details and date and time information, and the output is the data stored in the database.

[0942] Step 2:

[0943] The server retrieves the user's request from the database and analyzes it. Based on the results of this analysis, it retrieves information about the housekeeping service providers (such as their ratings, past performance, and availability) from the database. Natural Language Processing (NLP) technology is used for the analysis, and the results are output as structured data. The server then uses an AI algorithm (e.g., TensorFlow or PyTorch) to perform scoring based on the retrieved service provider information. The input is the user's request and service provider information, and the output is a list of the most suitable service providers.

[0944] Step 3:

[0945] The server sends a request notification to the selected contractor. This notification is delivered to the contractor's device via push notification or email. The contractor's device receives the notification, and after the contractor confirms the request, sends a response of "accept" or "reject" to the server. The input is the notification content from the server, and the output is the contractor's response (accept / reject). Specifically, notifications and responses are exchanged using a REST API or message queue (e.g., RabbitMQ).

[0946] Step 4:

[0947] The server receives the agent's response, and if the agent accepts the request, it sends a confirmation notification to the user's terminal. If the agent rejects the request, it resends the notification to the agent with the next highest priority. The input is the agent's response, and the output is a confirmation notification to the user. Specifically, when the response is accepted, the server updates the ongoing task and notifies the user.

[0948] Step 5:

[0949] On the day of work, the contractor's device notifies the server when work begins. The server reflects this information in real time on the user's progress screen. Specifically, real-time communication is performed using WebSocket to notify the user of progress. The input is the contractor's work start notification, and the output is an update to the user's progress screen.

[0950] Step 6:

[0951] When the work is completed, the contractor's terminal sends a completion notification to the server, and the server notifies the user. The input is the contractor's work completion notification, and the output is the completion notification to the user.

[0952] Step 7:

[0953] After completing the task, the user's device displays an evaluation screen. The user enters their evaluation and feedback on the service. The device sends this to the server. The server stores the received evaluation data in a database and uses it for future vendor selection. The input is the user's evaluation data, and the output is evaluation information stored in the database.

[0954] Specific example explanation

[0955] A user enters, "I'd like cleaning done tomorrow at 9am." This request is sent to the server and saved in a database. The server uses an AI algorithm to select highly rated contractors A, B, and C, and first sends a notification to contractor A. Contractor A receives the notification and replies, "Accept." Based on this information, the server sends a confirmation notification to the user's device stating, "Contractor A will come to clean at 9am." On the day of the job, contractor A selects "Start work" and "Complete" within the app, and the server notifies the user of progress and completion in real time. Finally, the user enters a rating of "Very satisfied," and the server saves this in the database.

[0956] This system allows users to efficiently request and use housekeeping services, freeing them from cumbersome procedures.

[0957] (Application example 1)

[0958] Next, a description will be given of Application Example 1. In the following description, the data processing device 12 will be referred to as a "server" and the headset type terminal 314 will be referred to as a "terminal."

[0959] The present invention aims to provide a system that allows users to easily and efficiently select the most suitable housekeeping service provider when requesting a housekeeping service. It also aims to improve service quality by tracking the progress of work in real time, collecting evaluation data, and using it to select future service providers. In particular, the present invention aims to improve the user experience by utilizing smart devices.

[0960] The specific processing by the specific processing unit 290 of the data processing device 12 in the application example 1 is realized by the following means.

[0961] In this invention, the server includes an information input means through which a user inputs the request details and desired date and time; a data storage means for receiving the input data from the information input means and storing it in a data storage; an optimization means for the data storage means to retrieve contractor information from the data storage and select a contractor best suited to the request; a response management means for sending a request notification to the contractor selected by the optimization means and receiving a response from the contractor; a determination notification means for sending a determination notification from the response management means to a user terminal; a progress monitoring means for monitoring the contractor's work progress and notifying the user and the data storage means; an evaluation input means through which the user inputs an evaluation after the work is completed; a data analysis means for saving the evaluation data from the evaluation input means in a data storage and using it to select a contractor in the future; and a smart device-compatible interface that allows the user to request services using a smart device and monitor and check the progress in real time. This allows users to easily request housekeeping services via the Internet and check the progress of the work in real time. Furthermore, the evaluation data is used to more appropriately select the next contractor, which is expected to improve service quality.

[0962] The "information input means" refers to a device or interface that allows the user to input the request details and desired date and time.

[0963] The "data storage means" is a device or system that stores input data received from the information input means in data storage.

[0964] The "optimization means" is a device or system that selects the best vendor to meet the user's requirements based on vendor information acquired from the data storage by the data storage means.

[0965] The "response management means" is a device or system that sends a request notification to the provider selected by the optimization means and receives a response from the provider.

[0966] The "determination notification means" is a device or system that transmits a determination notification from the response management means to the user terminal.

[0967] The "progress monitoring means" is a device or system that monitors the work progress of the contractor and notifies the user and the data storage means.

[0968] The "evaluation input means" is a device or interface that allows a user to input an evaluation after completing a task.

[0969] The "data analysis means" is a device or system that stores the evaluation data from the evaluation input means in data storage and uses it for future contractor selection.

[0970] A "smart device-enabled interface" is a device or system that allows a user to use a smart device to submit a service request and monitor and review progress in real time.

[0971] The present invention is a system for improving the convenience of users of housekeeping services. The system is designed to enable users to easily request services, select appropriate contractors, monitor progress in real time, and provide feedback on evaluation information.

[0972] System configuration

[0973] 1. Information input method

[0974] This is a device or interface through which a user inputs the details of their request and the desired date and time. For example, it uses an application on a smart device such as a smartphone or tablet, or a web portal.

[0975] 2. Data storage method

[0976] A device or system that receives input data from an information input means and stores it in data storage. Data is stored in a cloud database or a local server.

[0977] 3. Optimization Methods

[0978] This is a device or system that selects the best contractor for the user's needs based on contractor information acquired from the data storage. It uses an AI algorithm to comprehensively consider past performance, evaluations, and availability.

[0979] 4. Response Management Measures

[0980] This is a device or system that sends a request notification to the vendor selected by the optimization means and receives a response from the vendor. It sends a notification in real time and confirms the vendor's acceptance.

[0981] 5. Confirmation notification method

[0982] This is a device or system that sends a confirmation notification from the response management means to the user terminal, and notifies the schedule and vendor information after the user has confirmed the request content.

[0983] 6. Progress Monitoring Methods

[0984] This is a device or system that monitors the work progress of contractors and notifies users and data storage means. The progress status is displayed in real time so that users can check it.

[0985] 7. Evaluation Input Method

[0986] This is a device or interface that allows users to input and submit evaluations after completing a task. Evaluations are entered and submitted using a smart device.

[0987] 8. Data Analysis Methods

[0988] This is a device or system that stores the evaluation data from the evaluation input means in data storage and uses it for future contractor selection, making it possible to evaluate and improve contractors.

[0989] 9. Smart device compatible interface

[0990] A device or system that allows users to use their smart devices to submit service requests and monitor and review progress in real time, using a mobile application or web-based dashboard.

[0991] Specific examples

[0992] A user uses a smartphone app to input a request, saying, "I would like cleaning done at 9:00 on October 10, 2023." This request is sent to the server and saved in data storage. The server uses an AI algorithm to select a highly rated contractor through optimization means. Contractors A and B are considered as highly rated contractors, and B accepts the request. The response management means sends a confirmation notification to the user's terminal based on this information. On the day of the work, the progress of contractor B is monitored in real time through progress monitoring means, and the user can check the progress using a smart device-compatible interface. After the work is completed, the user uses the evaluation input means to input a rating of "very satisfied," and this evaluation data is used by data analysis means to select a contractor in the future.

[0993] Prompt Sentence Examples

[0994] Below are some example prompts to input to a generative AI model:

[0995] User Request:

[0996] Service Type:Cleaning

[0997] Desired time: October 10, 2023 9:00

[0998] Information for provider selection based on AI algorithms:

[0999] Provider A: Rating 4.5, Available time: October 10, 2023, 9:00 AM

[1000] Provider B: Rating 4.7, Available time: October 10, 2023, 9:00 AM

[1001] Provider C: Rating 4.3, Available time: October 10, 2023, 9:00 AM

[1002] Selected provider: Provider B

[1003] This system allows users to easily request housekeeping services via the Internet and check the progress of the work in real time. In addition, the evaluation data will be used to more appropriately select the next contractor, which is expected to improve service quality.

[1004] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[1005] Step 1:

[1006] The user uses a smart device to input the details of the request for housekeeping services and the desired date and time.

[1007] Input: Service type, desired date and time (e.g. cleaning, October 10, 2023, 9:00).

[1008] Operation: The user terminal sends these input data to the server.

[1009] Step 2:

[1010] The server receives input data from the user and stores it in a data storage.

[1011] Input: Request details and desired date and time sent by the user.

[1012] Data processing: The input data is stored in the appropriate table in the data storage.

[1013] Action: The server performs a write operation to the database.

[1014] Step 3:

[1015] The server retrieves vendor information from data storage and selects the most suitable vendor based on an AI algorithm.

[1016] Input: Contractor information in data storage (contractor ratings, past performance, availability).

[1017] Data calculation: Using an AI algorithm, the most suitable contractor is calculated taking into account ratings, track record, and availability.

[1018] How it works: The server calls the AI ​​model, analyzes vendor information, and selects the most suitable vendor.

[1019] Step 4:

[1020] The server sends a request notification to the selected vendor and monitors responses from the vendor.

[1021] Input: Contact information of the selected vendor and your request.

[1022] Operation: The server sends a notification to the merchant's terminal and waits for an "accept" or "reject" response from the merchant.

[1023] Step 5:

[1024] The server receives the response from the vendor and sends a confirmation notice to the user.

[1025] Input: Merchant response data.

[1026] Operation: If the response is "accepted," the server sends a confirmation notice to the user terminal; if the response is "rejected," the server resends the request to the next priority provider.

[1027] Step 6:

[1028] The server monitors the contractor's work progress and notifies the user terminal in real time.

[1029] Input: Work start and completion notices from contractors.

[1030] Operation: The server receives the progress data and reflects the progress status on the user's device in real time.

[1031] Step 7:

[1032] After completing the task, the user enters a rating and sends it to the server.

[1033] Input: Rating data from users (e.g., satisfaction, comments).

[1034] Operation: The server receives evaluation data from the user terminal.

[1035] Step 8:

[1036] The server stores the evaluation data in data storage and uses it to select contractors in the future.

[1037] Input: Rating data from users.

[1038] Data Processing: Assessment data is stored and processed for aggregation or analysis.

[1039] How it works: The server stores the evaluation data in a database and prepares it for reflection in the AI ​​algorithm.

[1040] Furthermore, an emotion engine that estimates the user's emotion may be further combined. That is, the identification processing unit 290 may estimate the user's emotion using the emotion identification model 59, and perform identification processing using the user's emotion.

[1041] The present invention is a system that allows users to efficiently request and receive housekeeping services, eliminating the need for conventional complicated procedures and providing optimal services that take into consideration the user's feelings. Below, the program processing of this system is explained in natural language.

[1042] Accepting user requests

[1043] When a user requests housekeeping services through an application or web portal, they input the details of the request (e.g., cleaning) and the desired date and time (e.g., October 10, 2023, 9:00 AM). The device sends this input data to the server, which then stores the received data in a database.

[1044] Analyzing requirements and selecting the best contractor

[1045] The server analyzes the request received from the user and retrieves information about the housekeeping service provider from the database. This information includes the service provider's ratings, past performance, availability, etc. The server analyzes this information using an AI algorithm and selects the service provider that best suits the user's requirements.

[1046] Introducing the Emotion Engine

[1047] Here, we introduce an emotion engine that identifies user emotions from the user's input and evaluation data. The server uses this emotion engine to analyze and identify the user's emotions, and reflects the results in the selection of a service provider and the content of notifications.

[1048] Notifying vendors and coordinating schedules

[1049] The server sends a request notification to the selected provider. The notification includes the request details, desired date and time, and user information. When the provider confirms the request, the provider's terminal selects "Accept" or "Reject" and sends the response to the server.

[1050] Confirmation and Emotional Reflection

[1051] The server receives the vendor's response and decides the next action based on the response. If the vendor accepts the request, the server sends a confirmation notification to the user that reflects the analysis results of the emotion engine. If the vendor rejects the request, the server sends another notification to the vendor with the next highest priority.

[1052] Work progress management

[1053] On the day of the work, the contractor's terminal sends a start notification to the server when the work begins. The server receives the work start notification and reflects that information on the user's progress screen. When the work is completed, the contractor's terminal sends a completion notification to the server, which notifies the user.

[1054] Leveraging feedback and emotion engines

[1055] After completing the task, the user's device displays a rating screen. The user enters their rating and feedback for the service, which is then sent to the server. The server not only stores the received rating data in a database, but also analyzes the user's emotions using an emotion engine and automatically adjusts the rating data.

[1056] Specific example explanation

[1057] A user enters, "I'd like cleaning done tomorrow at 9 o'clock." This request is sent to the server and saved in a database. The server uses an AI algorithm and emotion engine to select highly rated contractors A, B, and C. First, a notification is sent to contractor A, who replies, "Accept." Based on this information, the server reflects the results of the emotion engine and sends a confirmation notification to the user, stating, "Contractor A will come to clean at 9 o'clock." Contractor A begins the work and, once it is completed, the server manages its progress and notifies the user. Finally, the user enters a rating and feedback, saying, "Very satisfied," which the server saves in a database and analyzes using the emotion engine to use in selecting contractors for future projects.

[1058] In this way, the present invention realizes a system that reduces the burden on users, provides efficient housekeeping services, and improves the quality of services by taking into account the feelings of the users.

[1059] The processing flow will be explained below.

[1060] Step 1:

[1061] The user launches the application or web portal and enters the details of the housekeeping service request (e.g., cleaning) and the desired date and time (e.g., 9:00 on October 10, 2023). The device then sends this input data to the server.

[1062] Step 2:

[1063] The server stores the input data received from the user in a database, including the request details, desired date and time, and user information.

[1064] Step 3:

[1065] The server accesses the database and analyzes the saved request. The server extracts the request details, desired date and time, and the user's request, and sends this information to the emotion engine.

[1066] Step 4:

[1067] The emotion engine analyzes the user's request and identifies the user's emotion. The emotion identification result is sent to the server.

[1068] Step 5:

[1069] The server retrieves information about the housekeeping service providers' ratings, past performance, and availability from the database, and the AI ​​algorithm then selects the most suitable provider based on this information.

[1070] Step 6:

[1071] The server then sends a request notification to the selected service provider, which includes the request details, desired date and time, user information, and emotion recognition results.

[1072] Step 7:

[1073] The agent's terminal receives the notification from the server, and the agent selects whether to "accept" or "reject" the request. The agent's terminal then sends the response to the server.

[1074] Step 8:

[1075] The server receives the vendor's response and determines the next action based on the response. If the vendor accepts the request, a confirmation notice is sent to the user's terminal. If the vendor rejects the request, another notice is sent to the vendor with the next highest priority.

[1076] Step 9:

[1077] The server sends a confirmation notice to the user's device, which displays the confirmation notice to inform the user that the request has been officially confirmed.

[1078] Step 10:

[1079] On the day of the work, the contractor's terminal sends a start notification to the server when the work starts. The server receives the work start notification and reflects the information on the user's progress screen.

[1080] Step 11:

[1081] When the contractor's terminal completes the work, it sends a completion notice to the server. The server receives the work completion notice and sends it to the user's terminal.

[1082] Step 12:

[1083] The user's device receives the notification of the completion of the task and displays an evaluation screen to the user. The user enters an evaluation and feedback for the service, which the device then sends to the server.

[1084] Step 13:

[1085] The server stores the received evaluation data in a database. The emotion engine analyzes the evaluation data and re-evaluates the user's emotions.

[1086] Step 14:

[1087] The emotion engine automatically adjusts the evaluation data based on the user's emotions and uses it for future vendor selection. The server stores this adjusted evaluation data in a database.

[1088] Through the above steps, a system is realized that processes user requests efficiently and with consideration for their feelings, providing optimal housekeeping services.

[1089] Example 2

[1090] Next, a description will be given of Example 2. In the following description, the data processing device 12 will be referred to as a "server" and the headset type terminal 314 will be referred to as a "terminal."

[1091] Conventional housekeeping service request systems require users to input the details of their request and the desired date and time, and do not sufficiently consider the user's feelings or evaluations when selecting a service provider, resulting in a decline in user satisfaction.

[1092] The identification process by the identification processing unit 290 of the data processing device 12 in Example 2 is realized by the following means. In this invention, the server includes: a user input means through which a user inputs request details and a desired date and time; a server means for receiving input data from the user input means and storing the input data in a database; a selection means through which the server means acquires information about service providers from the database and selects a provider best suited to the request; a sentiment analysis means for analyzing the request details and user evaluation data using an emotion engine and reflecting the results in the selection result; a notification means for sending a request notification to the provider selected by the selection means and receiving a response from the provider; a determination notification means for sending a determination notification from the notification means to a user terminal; a progress management means for managing the progress of the provider's work and notifying the user and the server; a feedback means through which the user inputs an evaluation after completing the work; and a storage means for storing the evaluation data from the feedback means in a database and utilizing it for future provider selection. This makes it possible to select an optimal service provider taking into consideration the user's emotions and evaluations.

[1093] "User input means" refers to an interface such as a device, application, or web portal that allows a user to input the request details and desired date and time.

[1094] "Server means" refers to a computer system that receives input data from a user input means and stores the data in a database.

[1095] The "selection means" refers to the function of the server means to obtain information on service providers from the database and select the provider that best suits the user's request.

[1096] "Sentiment analysis means" refers to an algorithm or engine that analyzes the request content and user evaluation data, identifies the user's emotions, and reflects them in the selection results.

[1097] The "notification means" refers to a function of sending a request notification to the provider selected by the selection means and receiving a response from the provider.

[1098] The "determination notification means" refers to a function that transmits a determination notification from the notification means to the user terminal.

[1099] The "progress management means" refers to a function that manages the work progress of the provider and notifies the user and the server of that information.

[1100] "Feedback means" refers to an interface, such as a device, application, or web portal, through which a user can enter a rating after completing a task.

[1101] "Storage means" refers to the function of storing evaluation data from the feedback means in a database and using it to select future providers.

[1102] "Service provider" refers to a company or individual that provides services such as housekeeping services.

[1103] "Database" refers to a data repository for systematically storing and managing information within a system.

[1104] The "request notification" refers to a notification that includes information such as the user's request content and desired date and time, and is sent to the service provider.

[1105] "Evaluation data" refers to the evaluation or feedback that a user enters regarding a provider's service after completing a task.

[1106] "Emotion engine" refers to algorithms and programs that analyze a user's text data and identify their emotional state.

[1107] "AI algorithm" refers to a computational method for data analysis and optimization using artificial intelligence.

[1108] This invention is a system that allows users to smoothly request and receive housekeeping services. Specifically, it selects the most suitable service provider based on the request details and evaluation data entered by the user, and can notify the user in a way that takes into account their feelings.

[1109] Overall system configuration

[1110] The system consists of the following main components:

[1111] User Input Method

[1112] Server Means

[1113] Selection method

[1114] sentiment analysis tool

[1115] Notification means

[1116] Confirmation notification method

[1117] Progress management method

[1118] Feedback Methods

[1119] Preservation means

[1120] Data flow

[1121] 1. User Input Method:

[1122] Provide an interface for users to enter their request and desired date and time. This can include a smartphone app or a web portal. For example, a user might enter, "I'd like cleaning done tomorrow at 9:00."

[1123] 2. Server means:

[1124] Receives input data sent from the terminal and stores the data in a database. HTTP requests can be used for the receiving process.

[1125] 3. Selection method:

[1126] The server retrieves information about service providers from the database and uses an AI algorithm to select the service provider that best suits the user's request. Selection criteria include provider ratings, past performance, and availability. For example, it selects providers A, B, and C with high ratings.

[1127] 4. Sentiment analysis tools:

[1128] The server passes the request details and the user's evaluation data to the emotion engine, which then analyzes the results to understand the user's emotional state, such as "very satisfied" or "anxious because the deadline is approaching."

[1129] 5. Means of notification:

[1130] The server sends a request notification to the selected service provider and receives a response. The notification includes the request details and desired date and time. For example, a notification may be sent saying, "Cleaning request for October 10, 2023 at 9:00 AM."

[1131] 6. Confirmation notification method:

[1132] The server receives the provider's response and notifies the user of the confirmed schedule. Specifically, if Company A replies "Accept," the server notifies the user that "Company A will come to clean at 9 o'clock."

[1133] 7. Progress management measures:

[1134] When the contractor's terminal starts work, it sends a start notification to the server, which is reflected on the user's progress screen. When the work is completed, the contractor's terminal sends another completion notification, which the server notifies the user.

[1135] 8. Feedback methods:

[1136] The user's device displays an evaluation screen after the service is completed, and the user can enter their evaluation and feedback. For example, they can rate the service "very satisfied" and enter feedback such as "Thank you for your prompt response."

[1137] 9. Preservation means:

[1138] The server stores the evaluation data from the feedback means in a database and uses it to select future service providers, thereby improving the quality of the service by reusing the emotion engine.

[1139] Specific examples

[1140] A user enters, "I'd like cleaning done tomorrow at 9 o'clock." This request is sent to the server and saved in a database. The server uses an AI algorithm and emotion engine to select highly rated contractors A, B, and C. First, a notification is sent to contractor A, who replies, "Accept." The server uses this information to reflect the results of the emotion engine and sends a confirmation notification to the user, stating, "Contractor A will come to clean at 9 o'clock." Contractor A begins the work and, once it is completed, the server manages its progress and notifies the user. Finally, the user enters a rating and feedback, saying, "Very satisfied," and the server saves this in a database, analyzes it using the emotion engine, and uses it to select contractors for the next time and beyond.

[1141] Prompt Sentence Examples

[1142] "Devourite a program for a system that reflects the user's emotions and provides the most appropriate housekeeping service. Please explain the entire process, from the user entering the details of the request and the desired date and time, to the user entering feedback after the task is completed."

[1143] In this way, the present invention realizes a system that reduces the burden on users, provides efficient housekeeping services, and improves the quality of services by taking into account the feelings of the users.

[1144] The flow of the identification process in the second embodiment will be described with reference to FIG.

[1145] Step 1:

[1146] The user inputs the requested details of the housekeeping service and the desired date and time.

[1147] Specific operation: The user logs in to the dedicated app or web portal, enters the request details (e.g., cleaning) and desired date and time (e.g., October 10, 2023, 9:00), and presses the "Send" button.

[1148] Input: Request details, desired date and time

[1149] Output: The request details and desired date and time are sent from the terminal to the server.

[1150] Step 2:

[1151] The terminal transmits the received input data to the server, which stores the data in a database.

[1152] Specific operation: The terminal sends the request details and desired date and time data to the server via an HTTP request, and the server stores it in a database.

[1153] Input: Request details and desired date and time data

[1154] Output: Request details and desired date and time stored in the database.

[1155] Step 3:

[1156] The server retrieves information about service providers from the database and selects the most suitable provider based on the request data.

[1157] Specific operation: The server retrieves information such as provider ratings, past performance, and availability from the database, and uses an AI algorithm to select the most suitable provider.

[1158] Input: Provider information stored in the database and user request data

[1159] Output: A list of the best providers

[1160] Step 4:

[1161] The server passes the request content and the user's evaluation data to the emotion engine to analyze the user's emotions.

[1162] Specific operation: The server uses an emotion engine to analyze the request content and past evaluation data to identify the user's emotional state.

[1163] Input: Request details, evaluation data

[1164] Output: User's emotional state

[1165] Step 5:

[1166] The server sends a request notification to the provider based on the selection results and sentiment analysis results, and receives a response.

[1167] Specific operation: The server sends the notification content (request content, desired date and time, and sentiment analysis results) to the provider's terminal, and the provider sends a response of "accept" or "reject."

[1168] Input: list of optimal donors, emotional state

[1169] Output: Provider response

[1170] Step 6:

[1171] The server receives the response from the provider and notifies the user of the confirmed schedule.

[1172] Specific operation: If the provider replies "accept," the server notifies the user that "a cleaning company will come to clean the room at 9 o'clock." If the provider rejects the request, the server sends another notification to the next provider.

[1173] Input: Provider response

[1174] Output: Confirmation notification to user

[1175] Step 7:

[1176] When the contractor's terminal starts work, it sends a start notification to the server and manages the work progress.

[1177] Specific operation: The contractor's device presses the "Start work" button, the server receives it and reflects it on the user's progress screen. When the work is completed, a "Completion notification" is sent in the same way.

[1178] Input: Work start notification, completion notification

[1179] Output: Reflection on the user's progress screen

[1180] Step 8:

[1181] The user's terminal displays an evaluation screen after the task is completed, and the user inputs an evaluation and feedback.

[1182] Specific action: The user rates the service as "Very satisfied" and enters feedback such as "Thank you for your quick response" and submits the response.

[1183] Input: User ratings and feedback

[1184] Output: The rating data is sent to the server and stored in a database.

[1185] Step 9:

[1186] The server stores the evaluation data in a database and uses an emotion engine to reflect this in future provider selection.

[1187] Specific operation: The server stores the evaluation data in a database, analyzes it using an emotion engine, and uses it to select the most suitable provider in future.

[1188] Input: Evaluation data

[1189] Output: Improved accuracy of selecting the optimal provider

[1190] (Application example 2)

[1191] Next, a description will be given of Application Example 2. In the following description, the data processing device 12 will be referred to as a "server" and the headset type terminal 314 will be referred to as a "terminal."

[1192] When requesting a housekeeping service, users must go through complicated procedures and spend a lot of time and effort selecting the most suitable service provider. Furthermore, conventional systems do not take into account the user's feelings, which may affect the quality of the service. Furthermore, the inefficient service provider selection process makes it difficult to improve user satisfaction.

[1193] The specific processing by the specific processing unit 290 of the data processing device 12 in the application example 2 is realized by the following means.

[1194] In this invention, the server includes: a user input means for accepting a user's request; a server means for receiving input data from the user input means and saving it in a database; a selection means for retrieving information on business support providers from the database and selecting the provider best suited to the request; a notification means for sending a request notification to the selected provider and receiving a response from the provider; a determination notification means for sending a determination notification to the user terminal; a progress management means for managing the progress of the provider and notifying the user and the server; a feedback means for the user to input an evaluation after the completion of the work; a storage means for saving the evaluation data from the feedback means in a database and using it for future provider selection; an emotion analysis means for analyzing emotions from the user's input and reflecting the results in the provider selection and notification content; and a suggestion means for using an AI algorithm to suggest the best provider taking the user's emotions into consideration when selecting a provider. This allows users to easily request housekeeping services, and the provision of optimal services that take emotions into consideration can improve user satisfaction.

[1195] The "user input means" is an interface that allows the user to input the request details and desired date and time.

[1196] The "server means" is a server function for receiving input data from the user input means and storing it in a database.

[1197] The "selection means" is a function that allows the server means to obtain information on business support companies from the database and select the company that best suits the request.

[1198] The "notification means" is a function for sending a request notification to the trader selected by the selection means and receiving a response from the trader.

[1199] The "determination notification means" is a function for transmitting a determination notification from the notification means to the user terminal.

[1200] The "progress management means" is a function for managing the work progress of the contractor and notifying the user and the server.

[1201] The "feedback means" is an interface that allows the user to input an evaluation after completing a task.

[1202] The "storage means" is a function for storing evaluation data from the feedback means in a database and utilizing it for future contractor selection.

[1203] The "emotion analysis means" is a function for analyzing the emotions from the content entered by the user and reflecting the results in the selection of a company and the content of the notification.

[1204] "Suggestion method" is a function that uses an AI algorithm to suggest the most suitable contractor by taking into account the user's feelings when selecting a contractor.

[1205] The present invention is a system that allows users to efficiently request and receive housekeeping services. This system allows users to input the details of their request and the desired date and time using a device such as a smartphone or smart glasses, transmit the data to a server, and then select the most suitable company.

[1206] Accepting user requests

[1207] A user uses a user terminal such as a smartphone or smart glasses to input the details of a request for housekeeping services (e.g., cleaning or cooking) and the desired date and time. The user input means receives this input data and transmits it to the server means. The server stores the received data in a database.

[1208] Analyzing requirements and selecting the best contractor

[1209] The server analyzes the user's request and retrieves information about contractors from a database. Based on the retrieved information, the selection method uses an AI algorithm to select the most suitable contractor, taking into consideration factors such as ratings, past performance, and availability. During this process, the emotion analysis method analyzes the user's input and reflects the results in the contractor selection.

[1210] Notifying vendors and coordinating schedules

[1211] The notification means sends a request notification to the provider selected by the selection means. When the provider receives this notification, it can choose to accept or reject the request. The provider's response is sent to the server by the notification means, and the server determines the next action based on the response. If the request is accepted, the server sends a confirmation notification to the user using the confirmation notification means.

[1212] Work progress management

[1213] When the contractor starts the work, the progress management means manages the progress of the work in real time and notifies the user terminal and the server. When the work is completed, the contractor sends a completion notification to the server, and the server notifies the user of this information.

[1214] Feedback and Emotional Reflection

[1215] A feedback means is provided for users to input their evaluation after completing a task. The user inputs their evaluation and feedback on the service, and the terminal sends this to the server. The storage means stores the received evaluation data in a database and uses it for future contractor selection. Furthermore, an emotion analysis means is used to analyze the user's emotions and automatically adjust the evaluation data.

[1216] Specific example explanation

[1217] For example, a user might input, "I'd like cleaning done tomorrow at 9 o'clock." This request is sent to the server and saved in a database. The server then uses an AI algorithm and sentiment analysis means to select a highly rated contractor. The notification means sends a notification to the selected contractor, and if the contractor replies "accept," the server sends a confirmation notification reflecting the sentiment analysis results to the user. After the work begins, the progress management means notifies the user of the information in real time, and after completion, the feedback means receives an evaluation. By appropriately reflecting sentiment analysis in this series of processes, an advanced user experience and improved service quality are achieved.

[1218] Examples of application to generative AI models and prompt sentences

[1219] As an example of using a generative AI model to perform sentiment analysis in a program, the following prompt sentence is input into the AI ​​model.

[1220] "Analyze the sentiment from the user's input and select the best company.

[1221] Type: 'I'd like you to clean my room. It's not very clean, but I'd like to change that.'

[1222] Emotion analysis result: 'confused'

[1223] Best Vendor Rating: 4.9

[1224] In this way, the present invention realizes a system that provides efficient and high-quality housekeeping services by reducing the burden on users and selecting the most appropriate contractor taking their emotions into consideration.

[1225] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[1226] Step 1:

[1227] The user inputs the details of the request for housekeeping services and the desired date and time using a terminal such as a smartphone or smart glasses. The user input means receives this input data and transmits it to the server.

[1228] Input: Request details and desired date and time

[1229] Output: Request data sent to the server

[1230] Specific operations: Enter the request details (e.g., "cleaning") and desired date and time (e.g., October 10, 2023, 9:00) into the form on the device, and press the send button.

[1231] Step 2:

[1232] The server receives the user's request details and desired date and time data and stores them in a database.

[1233] Input: Request data sent from the terminal

[1234] Output: Request data stored in the database

[1235] Specific operation: The server analyzes the received data and stores it in a database management system (e.g., MySQL or PostgreSQL).

[1236] Step 3:

[1237] The server retrieves information on business support providers from the database and uses an AI algorithm to select the provider that best suits the request, taking into account the results of analyzing the user's emotions using an emotion analysis tool.

[1238] Input: Request data and vendor information stored in the database

[1239] Output: Selected best vendors

[1240] Specific operation: The server executes an AI algorithm written in Python, and selects vendor A based on the evaluation, past performance, availability, and the results of emotion analysis (e.g., "confused").

[1241] Step 4:

[1242] The server sends a request notification to the selected vendor, who receives the notification, chooses to accept or decline, and sends a response to the server.

[1243] Input: Selected best supplier

[1244] Output: Response from the merchant ('Accept' or 'Reject')

[1245] Specific operation: The server sends a notification to the vendor's device via API, and the vendor checks the notification in a dedicated application, clicks a button to accept or reject the notification, and returns the response to the server.

[1246] Step 5:

[1247] The server receives the response from the provider, and if the provider accepts, sends a confirmation notice to the user terminal.

[1248] Input: Response from vendor

[1249] Output: Confirmation notification to user

[1250] Specific operation: The server checks the response, and if the contractor selects "Accept," it sends a message to the user's terminal saying, "Contractor A will come to clean at 9 o'clock."

[1251] Step 6:

[1252] When the contractor starts work, a work start notification is sent from the terminal to the server, and the server notifies the user through the progress management means.

[1253] Input: Work Start Notice

[1254] Output: User notification that work has started

[1255] Specific operation: When the contractor's terminal presses the start work button, a start notification is sent to the server, and a notification stating "Work has started" is displayed on the user's progress screen.

[1256] Step 7:

[1257] When the contractor completes the work, the terminal sends a completion notification to the server, and the server notifies the user of this.

[1258] Input: Work Completion Notification

[1259] Output: User notification that the task is complete

[1260] Specific operation: When the contractor's terminal presses the work completion button, a completion notification is sent to the server, and a notification stating "Work completed" is displayed on the user's progress screen.

[1261] Step 8:

[1262] After completing a task, the user enters their rating and feedback, which is then sent to the server, which stores the rating data in a database.

[1263] Input: User Ratings and Feedback

[1264] Output: Evaluation data stored in a database

[1265] Specific operation: The user fills in the rating form (e.g., "5-star rating and comment") and presses the submit button. The server stores the rating in the database.

[1266] Step 9:

[1267] The server uses emotion analysis means to analyze the user's emotions based on the stored evaluation data and reflects this in future vendor selection.

[1268] Input: Evaluation data

[1269] Output: User sentiment analysis results

[1270] Specific operation: The server performs sentiment analysis on the stored evaluation data using an NLP model, and incorporates the analysis results (e.g., "satisfied") into the next vendor selection algorithm.

[1271] The specific processing unit 290 transmits the result of the specific processing to the headset type terminal 314. In the headset type terminal 314, the control unit 46A causes the speaker 240 and the display 343 to output the result of the specific processing. The microphone 238 acquires audio indicating a user input regarding the result of the specific processing. The control unit 46A transmits audio data indicating the user input acquired by the microphone 238 to the data processing device 12. In the data processing device 12, the specific processing unit 290 acquires the audio data.

[1272] The data generation model 58 is a so-called generative AI (Artificial Intelligence). An example of the data generation model 58 is ChatGPT (Internet Search<URL: https: / / openai.com / blog / chatgpt> ), Gemini (Internet search <url: https: gemini.google.com ?hl="ja">) and other generation AIs. The data generation model 58 is obtained by performing deep learning on a neural network. A prompt including an instruction is input to the data generation model 58, and inference data such as voice data indicating voice, text data indicating text, and image data indicating an image is also input. The data generation model 58 performs inference on the input inference data in accordance with the instruction indicated by the prompt, and outputs the inference result in a data format such as voice data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization.

[1273] In the above embodiment, an example was given in which the specific processing is performed by the data processing device 12, but the technology of the present disclosure is not limited to this, and the specific processing may be performed by the headset type terminal 314.

[1274] [Fourth embodiment]

[1275] FIG. 7 shows an example of the configuration of a data processing system 410 according to the fourth embodiment.

[1276] 7, a data processing system 410 includes a data processing device 12 and a robot 414. An example of the data processing device 12 is a server.

[1277] The data processing device 12 includes a computer 22, a database 24, and a communication I / F 26. The computer 22 is an example of a "computer" according to the technology of the present disclosure. The computer 22 includes a processor 28, a RAM 30, and a storage 32. The processor 28, the RAM 30, and the storage 32 are connected to a bus 34. The database 24 and the communication I / F 26 are also connected to the bus 34. The communication I / F 26 is connected to a network 54. Examples of the network 54 include a WAN (Wide Area Network) and / or a LAN (Local Area Network).

[1278] The robot 414 includes a computer 36, a microphone 238, a speaker 240, a camera 42, a communication I / F 44, and a control target 443. The computer 36 includes a processor 46, a RAM 48, and a storage 50. The processor 46, the RAM 48, and the storage 50 are connected to a bus 52. The microphone 238, the speaker 240, the camera 42, and the control target 443 are also connected to the bus 52.

[1279] The microphone 238 receives instructions and the like from the user 20 by receiving voice uttered by the user 20. The microphone 238 captures the voice uttered by the user 20, converts the captured voice into audio data, and outputs it to the processor 46. The speaker 240 outputs audio in accordance with instructions from the processor 46.

[1280] Camera 42 is a small digital camera equipped with an optical system including a lens, aperture, and shutter, and an imaging element such as a CMOS (Complementary Metal-Oxide-Semiconductor) image sensor or a CCD (Charge Coupled Device) image sensor, and captures images of the surroundings of user 20 (for example, an imaging range defined by an angle of view equivalent to the field of vision of a typical healthy person).

[1281] The communication I / F 44 is connected to a network 54. The communication I / Fs 44 and 26 control the exchange of various information between the processor 46 and the processor 28 via the network 54. The exchange of various information between the processor 46 and the processor 28 using the communication I / Fs 44 and 26 is carried out in a secure state.

[1282] The control object 443 includes a display device, LEDs in the eyes, and motors for driving the arms, hands, and feet. The posture and gestures of the robot 414 are controlled by controlling the motors of the arms, hands, and feet. Some of the emotions of the robot 414 can be expressed by controlling these motors. In addition, the facial expressions of the robot 414 can also be expressed by controlling the light emission state of the LEDs in the eyes of the robot 414.

[1283] Fig. 8 shows an example of the main functions of the data processing device 12 and the robot 414. As shown in Fig. 8, in the data processing device 12, a specific process is performed by the processor 28. A specific process program 56 is stored in the storage 32.

[1284] The specific processing program 56 is an example of a "program" according to the technology of the present disclosure. The processor 28 reads the specific processing program 56 from the storage 32 and executes the read specific processing program 56 on the RAM 30. The specific processing is realized by the processor 28 operating as a specific processing unit 290 in accordance with the specific processing program 56 executed on the RAM 30.

[1285] The storage 32 stores a data generation model 58 and an emotion identification model 59. The data generation model 58 and the emotion identification model 59 are used by the identification processing unit 290.

[1286] In the robot 414, the processor 46 performs the reception output process. A reception output program 60 is stored in the storage 50. The processor 46 reads the reception output program 60 from the storage 50 and executes the read reception output program 60 on the RAM 48. The reception output process is realized by the processor 46 operating as the control unit 46A in accordance with the reception output program 60 executed on the RAM 48.

[1287] Next, a description will be given of the specific processing performed by the specific processing unit 290 of the data processing device 12. In the following description, the data processing device 12 will be referred to as a "server" and the robot 414 will be referred to as a "terminal."

[1288] This invention is a system for efficiently requesting and providing housekeeping services. This system allows users to easily request services and uses an AI algorithm to select the most suitable housekeeping service provider, eliminating the cumbersome procedures that have traditionally been required. Below, the program processing of this system is explained in natural language.

[1289] Accepting user requests

[1290] When a user requests housekeeping services through an application or web portal, they input the details of the request (e.g., cleaning, laundry) and the desired date and time (e.g., October 10, 2023, 9:00 AM). The device then sends this input data to the server, which then stores the received data in a database.

[1291] Analyzing requirements and selecting the best contractor

[1292] The server analyzes the request received from the user and retrieves information about the housekeeping service provider from the database. This information includes the service provider's ratings, past performance, availability, etc. The server analyzes this information using an AI algorithm and selects the service provider that best suits the user's requirements.

[1293] Notifying vendors and coordinating schedules

[1294] The server sends a notification of the request to the selected vendor. Once the vendor confirms the request, the vendor's terminal sends a reply of "accept" or "reject" to the server. The server receives this reply, and if the vendor accepts the request, it sends a confirmation notification to the user. If the vendor rejects the request, the notification is resent to the vendor with the next highest priority.

[1295] Work progress management

[1296] On the day of the work, the contractor's terminal notifies the server when the work begins. The server reflects this information on the user's progress screen. When the work is completed, the contractor's terminal sends a completion notification to the server, which then notifies the user.

[1297] Feedback and Ratings

[1298] After the work is completed, the user's device displays an evaluation screen. The user enters their evaluation and feedback on the service, which is then sent to the server. The server stores the received evaluation data in a database and uses it to select future contractors.

[1299] Specific example explanation

[1300] A user enters, "I'd like cleaning done tomorrow at 9 o'clock." This request is sent to the server and saved in a database. The server uses an AI algorithm to select highly rated contractors A, B, and C. First, a notification is sent to contractor A, who replies, "Accept." Based on this information, the server sends a confirmation notification to the user's device stating, "Contractor A will come to clean at 9 o'clock." Contractor A begins the work, and once it is completed, the server manages its progress and notifies the user. Finally, the user enters a rating of "Very satisfied," which the server saves in the database and uses to select contractors from next time onwards.

[1301] In this way, the present invention realizes a system that reduces the burden on users and provides housekeeping services efficiently.

[1302] The processing flow will be explained below.

[1303] Step 1:

[1304] The user launches the application or web portal and enters the details of the housekeeping service request (e.g., cleaning) and the desired date and time (e.g., 9:00 on October 10, 2023). The device then sends this input data to the server.

[1305] Step 2:

[1306] The server stores the input data received from the user in a database, including the request details, desired date and time, and user information.

[1307] Step 3:

[1308] The server accesses the database and analyzes the saved request details, specifically extracting the request details, desired date and time, and the service details required by the user.

[1309] Step 4:

[1310] The server retrieves information about housekeeping service providers' ratings, past performance, and availability from the database, and the AI ​​algorithm then selects the most suitable provider based on this information.

[1311] Step 5:

[1312] The server then sends a request notification to the selected vendor, which includes the request details, desired date and time, and user information.

[1313] Step 6:

[1314] The agent's terminal receives the notification from the server, and the agent selects whether to "accept" or "reject" the request. The agent's terminal then sends the response to the server.

[1315] Step 7:

[1316] The server receives the vendor's response and determines the next action based on the response. If the vendor accepts the request, the server sends a confirmation notification to the user's terminal. If the vendor rejects the request, the server sends another notification to the vendor with the next highest priority.

[1317] Step 8:

[1318] The server sends a confirmation notice to the user's device, which displays the confirmation notice to inform the user that the request has been officially confirmed.

[1319] Step 9:

[1320] On the day of the work, the contractor's terminal sends a start notification to the server when the work starts. The server receives the work start notification and reflects the information on the user's progress screen.

[1321] Step 10:

[1322] When the contractor's terminal completes the work, it sends a completion notice to the server. The server receives the work completion notice and sends it to the user's terminal.

[1323] Step 11:

[1324] The user's device receives the notification of completion of the work and displays an evaluation screen for the user, who then enters their evaluation and feedback for the service.

[1325] Step 12:

[1326] The device sends the user's evaluation data to the server, which stores the data in a database and uses it to select future contractors.

[1327] Through the above steps, a system is realized that efficiently processes user requests and provides optimal housekeeping services.

[1328] Example 1

[1329] Next, a description will be given of Example 1. In the following description, the data processing device 12 will be referred to as a "server" and the robot 414 will be referred to as a "terminal."

[1330] Conventional housekeeping services have had the problem that users have to manually select a service provider and then adjust schedules and manage progress, which is time-consuming and laborious. Furthermore, if there is a lack of information to select the most suitable service provider, the quality of the service can be inconsistent. The present invention aims to solve these problems and provide a system that allows users to efficiently request and use housekeeping services.

[1331] The specific processing by the specific processing unit 290 of the data processing device 12 in the first embodiment is realized by the following means.

[1332] In this invention, the server includes a user input means for the user to input the request details and desired date and time, a server means for receiving the input data from the user input means and storing it in a storage device, and a selection means for the server means to acquire agent information from the storage device and select the agent most suitable for the request. This allows the user to easily request a service, and the server to automatically select the most suitable agent and notify the user.

[1333] The "user input means" is an interface through which the user inputs the request details and desired date and time.

[1334] The "server means" is a server function that receives input data from the user input means and stores it in a storage device.

[1335] A "memory device" is a database or storage device for saving data.

[1336] The "selection means" is a function in which the server means acquires information on agents from the storage device and selects the agent that best suits the request.

[1337] The "notification means" is a function for sending a request notification to the selected trader and receiving a response from the trader.

[1338] The "determination notification means" is a function that transmits a determination notification from the notification means to the user terminal.

[1339] The "progress management means" is a function that manages the work progress of the contractor and notifies the user and the server.

[1340] The "feedback means" is an interface that allows the user to input an evaluation after completing a task.

[1341] The "storage means" is a function that stores the evaluation data from the feedback means in a storage device and uses it for future contractor selection.

[1342] The "AI algorithm" is an artificial intelligence technology that selects the most suitable contractor by taking into account contractor ratings, past performance, and availability.

[1343] This invention is a system for efficiently requesting and providing housekeeping services. This system allows users to easily request services and uses an AI algorithm to select the most suitable housekeeping service provider, eliminating the cumbersome procedures that have traditionally been required.

[1344] Accepting user requests

[1345] When a user requests housekeeping services through an application or web portal, they input the details of the request (e.g., cleaning, laundry) and the desired date and time (e.g., October 10, 2023, 9:00 AM). The device then sends this input data to the server, which then stores the received data in a storage device. This process uses HTTP requests and database management systems (e.g., MySQL, PostgreSQL).

[1346] Analyzing requirements and selecting the best contractor

[1347] The server analyzes the request received from the user and, based on the analysis results, retrieves information about the housekeeping service providers (such as their ratings, past performance, and availability) from the storage device.The server then analyzes this information using an AI algorithm (e.g., a machine learning model using TensorFlow or PyTorch) to select the service provider that best meets the user's requirements. Specifically, a Python script is run on the server, retrieves information from the database, and scores it using the machine learning model.

[1348] Notifying vendors and coordinating schedules

[1349] The server sends a notification of the request details to the selected contractor. This notification is delivered to the contractor's device via push notification or email. When the contractor confirms the request, the contractor's device sends a response of "accept" or "reject" to the server. The server receives this response, and if the contractor accepts the request, it sends a confirmation notification to the user's device. If the contractor rejects the request, a notification is sent to the contractor with the next highest priority. Specifically, notifications and responses are exchanged using REST APIs or message queues (e.g., RabbitMQ).

[1350] Work progress management

[1351] On the day of the work, the contractor's device notifies the server when the work begins. The server reflects this information on the user's progress screen. When the work is completed, the contractor's device sends a completion notification to the server, which then notifies the user. Progress management may use real-time communication technology (e.g., WebSocket).

[1352] Feedback and Ratings

[1353] After completing the task, the user's device displays an evaluation screen. The user enters their rating and feedback for the service, which the device then sends to the server. The server stores the received rating data in a storage device and uses it to select future contractors. Specifically, when the user enters comments and star ratings into the evaluation form within the app and presses the "Submit" button, the content is saved on the server.

[1354] Specific example explanation

[1355] A user types, "I'd like cleaning done tomorrow at 9 o'clock." This request is sent to the server and stored in a storage device. The server uses an AI algorithm to score the highly rated contractors A, B, and C, and sends a notification to contractor A. Contractor A receives the notification on their smartphone, and selects "Accept" in the app. Based on this information, the server sends a confirmation notification to the user's device stating, "Contractor A will come to clean at 9 o'clock." On the day of the job, contractor A selects "Start work" in the app, and when the job is complete, selects "Complete." Each time, the server updates the status and notifies the user. Finally, the user enters a rating of "Very satisfied" in the app, and the server saves this in a storage device.

[1356] In this way, the present invention realizes a system that reduces the burden on users and provides housekeeping services efficiently.

[1357] The flow of the identification process in the first embodiment will be described with reference to FIG.

[1358] Step 1:

[1359] The user enters the request details (e.g., cleaning, laundry) and desired date and time (e.g., October 10, 2023, 9:00) into the application or web portal input form and presses the "Submit" button. This sends the input data from the terminal to the server. The server receives this input data and stores it in a database. The input data specifically includes the request details and date and time information, and the output is the data stored in the database.

[1360] Step 2:

[1361] The server retrieves the user's request from the database and analyzes it. Based on the results of this analysis, it retrieves information about the housekeeping service providers (such as their ratings, past performance, and availability) from the database. Natural Language Processing (NLP) technology is used for the analysis, and the results are output as structured data. The server then uses an AI algorithm (e.g., TensorFlow or PyTorch) to perform scoring based on the retrieved service provider information. The input is the user's request and service provider information, and the output is a list of the most suitable service providers.

[1362] Step 3:

[1363] The server sends a request notification to the selected contractor. This notification is delivered to the contractor's device via push notification or email. The contractor's device receives the notification, and after the contractor confirms the request, sends a response of "accept" or "reject" to the server. The input is the notification content from the server, and the output is the contractor's response (accept / reject). Specifically, notifications and responses are exchanged using a REST API or message queue (e.g., RabbitMQ).

[1364] Step 4:

[1365] The server receives the agent's response, and if the agent accepts the request, it sends a confirmation notification to the user's terminal. If the agent rejects the request, it resends the notification to the agent with the next highest priority. The input is the agent's response, and the output is a confirmation notification to the user. Specifically, when the response is accepted, the server updates the ongoing task and notifies the user.

[1366] Step 5:

[1367] On the day of work, the contractor's device notifies the server when work begins. The server reflects this information in real time on the user's progress screen. Specifically, real-time communication is performed using WebSocket to notify the user of progress. The input is the contractor's work start notification, and the output is an update to the user's progress screen.

[1368] Step 6:

[1369] When the work is completed, the contractor's terminal sends a completion notification to the server, and the server notifies the user. The input is the contractor's work completion notification, and the output is the completion notification to the user.

[1370] Step 7:

[1371] After completing the task, the user's device displays an evaluation screen. The user enters their evaluation and feedback on the service. The device sends this to the server. The server stores the received evaluation data in a database and uses it for future vendor selection. The input is the user's evaluation data, and the output is evaluation information stored in the database.

[1372] Specific example explanation

[1373] A user enters, "I'd like cleaning done tomorrow at 9am." This request is sent to the server and saved in a database. The server uses an AI algorithm to select highly rated contractors A, B, and C, and first sends a notification to contractor A. Contractor A receives the notification and replies, "Accept." Based on this information, the server sends a confirmation notification to the user's device stating, "Contractor A will come to clean at 9am." On the day of the job, contractor A selects "Start work" and "Complete" within the app, and the server notifies the user of progress and completion in real time. Finally, the user enters a rating of "Very satisfied," and the server saves this in the database.

[1374] This system allows users to efficiently request and use housekeeping services, freeing them from cumbersome procedures.

[1375] (Application example 1)

[1376] Next, a description will be given of Application Example 1. In the following description, the data processing device 12 will be referred to as a "server" and the robot 414 will be referred to as a "terminal."

[1377] The present invention aims to provide a system that allows users to easily and efficiently select the most suitable housekeeping service provider when requesting a housekeeping service. It also aims to improve service quality by tracking the progress of work in real time, collecting evaluation data, and using it to select future service providers. In particular, the present invention aims to improve the user experience by utilizing smart devices.

[1378] The specific processing by the specific processing unit 290 of the data processing device 12 in the application example 1 is realized by the following means.

[1379] In this invention, the server includes an information input means through which a user inputs the request details and desired date and time; a data storage means for receiving the input data from the information input means and storing it in a data storage; an optimization means for the data storage means to retrieve contractor information from the data storage and select a contractor best suited to the request; a response management means for sending a request notification to the contractor selected by the optimization means and receiving a response from the contractor; a determination notification means for sending a determination notification from the response management means to a user terminal; a progress monitoring means for monitoring the contractor's work progress and notifying the user and the data storage means; an evaluation input means through which the user inputs an evaluation after the work is completed; a data analysis means for saving the evaluation data from the evaluation input means in a data storage and using it to select a contractor in the future; and a smart device-compatible interface that allows the user to request services using a smart device and monitor and check the progress in real time. This allows users to easily request housekeeping services via the Internet and check the progress of the work in real time. Furthermore, the evaluation data is used to more appropriately select the next contractor, which is expected to improve service quality.

[1380] The "information input means" refers to a device or interface that allows the user to input the request details and desired date and time.

[1381] The "data storage means" is a device or system that stores input data received from the information input means in data storage.

[1382] The "optimization means" is a device or system that selects the best vendor to meet the user's requirements based on vendor information acquired from the data storage by the data storage means.

[1383] The "response management means" is a device or system that sends a request notification to the provider selected by the optimization means and receives a response from the provider.

[1384] The "determination notification means" is a device or system that transmits a determination notification from the response management means to the user terminal.

[1385] The "progress monitoring means" is a device or system that monitors the work progress of the contractor and notifies the user and the data storage means.

[1386] The "evaluation input means" is a device or interface that allows a user to input an evaluation after completing a task.

[1387] The "data analysis means" is a device or system that stores the evaluation data from the evaluation input means in data storage and uses it for future contractor selection.

[1388] A "smart device-enabled interface" is a device or system that allows a user to use a smart device to submit a service request and monitor and review progress in real time.

[1389] The present invention is a system for improving the convenience of users of housekeeping services. The system is designed to enable users to easily request services, select appropriate contractors, monitor progress in real time, and provide feedback on evaluation information.

[1390] System configuration

[1391] 1. Information input method

[1392] This is a device or interface through which a user inputs the details of their request and the desired date and time. For example, it uses an application on a smart device such as a smartphone or tablet, or a web portal.

[1393] 2. Data storage method

[1394] A device or system that receives input data from an information input means and stores it in data storage. Data is stored in a cloud database or a local server.

[1395] 3. Optimization Methods

[1396] This is a device or system that selects the best contractor for the user's needs based on contractor information acquired from the data storage. It uses an AI algorithm to comprehensively consider past performance, evaluations, and availability.

[1397] 4. Response Management Measures

[1398] This is a device or system that sends a request notification to the vendor selected by the optimization means and receives a response from the vendor. It sends a notification in real time and confirms the vendor's acceptance.

[1399] 5. Confirmation notification method

[1400] This is a device or system that sends a confirmation notification from the response management means to the user terminal, and notifies the schedule and vendor information after the user has confirmed the request content.

[1401] 6. Progress Monitoring Methods

[1402] This is a device or system that monitors the work progress of contractors and notifies users and data storage means. The progress status is displayed in real time so that users can check it.

[1403] 7. Evaluation Input Method

[1404] This is a device or interface that allows users to input and submit evaluations after completing a task. Evaluations are entered and submitted using a smart device.

[1405] 8. Data Analysis Methods

[1406] This is a device or system that stores the evaluation data from the evaluation input means in data storage and uses it for future contractor selection, making it possible to evaluate and improve contractors.

[1407] 9. Smart device compatible interface

[1408] A device or system that allows users to use their smart devices to submit service requests and monitor and review progress in real time, using a mobile application or web-based dashboard.

[1409] Specific examples

[1410] A user uses a smartphone app to input a request, saying, "I would like cleaning done at 9:00 on October 10, 2023." This request is sent to the server and saved in data storage. The server uses an AI algorithm to select a highly rated contractor through optimization means. Contractors A and B are considered as highly rated contractors, and B accepts the request. The response management means sends a confirmation notification to the user's terminal based on this information. On the day of the work, the progress of contractor B is monitored in real time through progress monitoring means, and the user can check the progress using a smart device-compatible interface. After the work is completed, the user uses the evaluation input means to input a rating of "very satisfied," and this evaluation data is used by data analysis means to select a contractor in the future.

[1411] Prompt Sentence Examples

[1412] Below are some example prompts to input to a generative AI model:

[1413] User Request:

[1414] Service Type:Cleaning

[1415] Desired time: October 10, 2023 9:00

[1416] Information for provider selection based on AI algorithms:

[1417] Provider A: Rating 4.5, Available time: October 10, 2023, 9:00 AM

[1418] Provider B: Rating 4.7, Available time: October 10, 2023, 9:00 AM

[1419] Provider C: Rating 4.3, Available time: October 10, 2023, 9:00 AM

[1420] Selected provider: Provider B

[1421] This system allows users to easily request housekeeping services via the Internet and check the progress of the work in real time. In addition, the evaluation data will be used to more appropriately select the next contractor, which is expected to improve service quality.

[1422] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[1423] Step 1:

[1424] The user uses a smart device to input the details of the request for housekeeping services and the desired date and time.

[1425] Input: Service type, desired date and time (e.g. cleaning, October 10, 2023, 9:00).

[1426] Operation: The user terminal sends these input data to the server.

[1427] Step 2:

[1428] The server receives input data from the user and stores it in a data storage.

[1429] Input: Request details and desired date and time sent by the user.

[1430] Data processing: The input data is stored in the appropriate table in the data storage.

[1431] Action: The server performs a write operation to the database.

[1432] Step 3:

[1433] The server retrieves vendor information from data storage and selects the most suitable vendor based on an AI algorithm.

[1434] Input: Contractor information in data storage (contractor ratings, past performance, availability).

[1435] Data calculation: Using an AI algorithm, the most suitable contractor is calculated taking into account ratings, track record, and availability.

[1436] How it works: The server calls the AI ​​model, analyzes vendor information, and selects the most suitable vendor.

[1437] Step 4:

[1438] The server sends a request notification to the selected vendor and monitors responses from the vendor.

[1439] Input: Contact information of the selected vendor and your request.

[1440] Operation: The server sends a notification to the merchant's terminal and waits for an "accept" or "reject" response from the merchant.

[1441] Step 5:

[1442] The server receives the response from the vendor and sends a confirmation notice to the user.

[1443] Input: Merchant response data.

[1444] Operation: If the response is "accepted," the server sends a confirmation notice to the user terminal; if the response is "rejected," the server resends the request to the next priority provider.

[1445] Step 6:

[1446] The server monitors the contractor's work progress and notifies the user terminal in real time.

[1447] Input: Work start and completion notices from contractors.

[1448] Operation: The server receives the progress data and reflects the progress status on the user's device in real time.

[1449] Step 7:

[1450] After completing the task, the user enters a rating and sends it to the server.

[1451] Input: Rating data from users (e.g., satisfaction, comments).

[1452] Operation: The server receives evaluation data from the user terminal.

[1453] Step 8:

[1454] The server stores the evaluation data in data storage and uses it to select contractors in the future.

[1455] Input: Rating data from users.

[1456] Data Processing: Assessment data is stored and processed for aggregation or analysis.

[1457] How it works: The server stores the evaluation data in a database and prepares it for reflection in the AI ​​algorithm.

[1458] Furthermore, an emotion engine that estimates the user's emotion may be further combined. That is, the identification processing unit 290 may estimate the user's emotion using the emotion identification model 59, and perform identification processing using the user's emotion.

[1459] The present invention is a system that allows users to efficiently request and receive housekeeping services, eliminating the need for conventional complicated procedures and providing optimal services that take into consideration the user's feelings. Below, the program processing of this system is explained in natural language.

[1460] Accepting user requests

[1461] When a user requests housekeeping services through an application or web portal, they input the details of the request (e.g., cleaning) and the desired date and time (e.g., October 10, 2023, 9:00 AM). The device sends this input data to the server, which then stores the received data in a database.

[1462] Analyzing requirements and selecting the best contractor

[1463] The server analyzes the request received from the user and retrieves information about the housekeeping service provider from the database. This information includes the service provider's ratings, past performance, availability, etc. The server analyzes this information using an AI algorithm and selects the service provider that best suits the user's requirements.

[1464] Introducing the Emotion Engine

[1465] Here, we introduce an emotion engine that identifies user emotions from the user's input and evaluation data. The server uses this emotion engine to analyze and identify the user's emotions, and reflects the results in the selection of a service provider and the content of notifications.

[1466] Notifying vendors and coordinating schedules

[1467] The server sends a request notification to the selected provider. The notification includes the request details, desired date and time, and user information. When the provider confirms the request, the provider's terminal selects "Accept" or "Reject" and sends the response to the server.

[1468] Confirmation and Emotional Reflection

[1469] The server receives the vendor's response and decides the next action based on the response. If the vendor accepts the request, the server sends a confirmation notification to the user that reflects the analysis results of the emotion engine. If the vendor rejects the request, the server sends another notification to the vendor with the next highest priority.

[1470] Work progress management

[1471] On the day of the work, the contractor's terminal sends a start notification to the server when the work begins. The server receives the work start notification and reflects that information on the user's progress screen. When the work is completed, the contractor's terminal sends a completion notification to the server, which notifies the user.

[1472] Leveraging feedback and emotion engines

[1473] After completing the task, the user's device displays a rating screen. The user enters their rating and feedback for the service, which is then sent to the server. The server not only stores the received rating data in a database, but also analyzes the user's emotions using an emotion engine and automatically adjusts the rating data.

[1474] Specific example explanation

[1475] A user enters, "I'd like cleaning done tomorrow at 9 o'clock." This request is sent to the server and saved in a database. The server uses an AI algorithm and emotion engine to select highly rated contractors A, B, and C. First, a notification is sent to contractor A, who replies, "Accept." Based on this information, the server reflects the results of the emotion engine and sends a confirmation notification to the user, stating, "Contractor A will come to clean at 9 o'clock." Contractor A begins the work and, once it is completed, the server manages its progress and notifies the user. Finally, the user enters a rating and feedback, saying, "Very satisfied," which the server saves in a database and analyzes using the emotion engine to use in selecting contractors for future projects.

[1476] In this way, the present invention realizes a system that reduces the burden on users, provides efficient housekeeping services, and improves the quality of services by taking into account the feelings of the users.

[1477] The processing flow will be explained below.

[1478] Step 1:

[1479] The user launches the application or web portal and enters the details of the housekeeping service request (e.g., cleaning) and the desired date and time (e.g., 9:00 on October 10, 2023). The device then sends this input data to the server.

[1480] Step 2:

[1481] The server stores the input data received from the user in a database, including the request details, desired date and time, and user information.

[1482] Step 3:

[1483] The server accesses the database and analyzes the saved request. The server extracts the request details, desired date and time, and the user's request, and sends this information to the emotion engine.

[1484] Step 4:

[1485] The emotion engine analyzes the user's request and identifies the user's emotion. The emotion identification result is sent to the server.

[1486] Step 5:

[1487] The server retrieves information about the housekeeping service providers' ratings, past performance, and availability from the database, and the AI ​​algorithm then selects the most suitable provider based on this information.

[1488] Step 6:

[1489] The server then sends a request notification to the selected service provider, which includes the request details, desired date and time, user information, and emotion recognition results.

[1490] Step 7:

[1491] The agent's terminal receives the notification from the server, and the agent selects whether to "accept" or "reject" the request. The agent's terminal then sends the response to the server.

[1492] Step 8:

[1493] The server receives the vendor's response and determines the next action based on the response. If the vendor accepts the request, a confirmation notice is sent to the user's terminal. If the vendor rejects the request, another notice is sent to the vendor with the next highest priority.

[1494] Step 9:

[1495] The server sends a confirmation notice to the user's device, which displays the confirmation notice to inform the user that the request has been officially confirmed.

[1496] Step 10:

[1497] On the day of the work, the contractor's terminal sends a start notification to the server when the work starts. The server receives the work start notification and reflects the information on the user's progress screen.

[1498] Step 11:

[1499] When the contractor's terminal completes the work, it sends a completion notice to the server. The server receives the work completion notice and sends it to the user's terminal.

[1500] Step 12:

[1501] The user's device receives the notification of the completion of the task and displays an evaluation screen to the user. The user enters an evaluation and feedback for the service, which the device then sends to the server.

[1502] Step 13:

[1503] The server stores the received evaluation data in a database. The emotion engine analyzes the evaluation data and re-evaluates the user's emotions.

[1504] Step 14:

[1505] The emotion engine automatically adjusts the evaluation data based on the user's emotions and uses it for future vendor selection. The server stores this adjusted evaluation data in a database.

[1506] Through the above steps, a system is realized that processes user requests efficiently and with consideration for their feelings, providing optimal housekeeping services.

[1507] Example 2

[1508] Next, a description will be given of Example 2. In the following description, the data processing device 12 will be referred to as a "server" and the robot 414 will be referred to as a "terminal."

[1509] Conventional housekeeping service request systems require users to input the details of their request and the desired date and time, and do not sufficiently consider the user's feelings or evaluations when selecting a service provider, resulting in a decline in user satisfaction.

[1510] The identification process by the identification processing unit 290 of the data processing device 12 in Example 2 is realized by the following means. In this invention, the server includes: a user input means through which a user inputs request details and a desired date and time; a server means for receiving input data from the user input means and storing the input data in a database; a selection means through which the server means acquires information about service providers from the database and selects a provider best suited to the request; a sentiment analysis means for analyzing the request details and user evaluation data using an emotion engine and reflecting the results in the selection result; a notification means for sending a request notification to the provider selected by the selection means and receiving a response from the provider; a determination notification means for sending a determination notification from the notification means to a user terminal; a progress management means for managing the progress of the provider's work and notifying the user and the server; a feedback means through which the user inputs an evaluation after completing the work; and a storage means for storing the evaluation data from the feedback means in a database and utilizing it for future provider selection. This makes it possible to select an optimal service provider taking into consideration the user's emotions and evaluations.

[1511] "User input means" refers to an interface such as a device, application, or web portal that allows a user to input the request details and desired date and time.

[1512] "Server means" refers to a computer system that receives input data from a user input means and stores the data in a database.

[1513] The "selection means" refers to the function of the server means to obtain information on service providers from the database and select the provider that best suits the user's request.

[1514] "Sentiment analysis means" refers to an algorithm or engine that analyzes the request content and user evaluation data, identifies the user's emotions, and reflects them in the selection results.

[1515] The "notification means" refers to a function of sending a request notification to the provider selected by the selection means and receiving a response from the provider.

[1516] The "determination notification means" refers to a function that transmits a determination notification from the notification means to the user terminal.

[1517] The "progress management means" refers to a function that manages the work progress of the provider and notifies the user and the server of that information.

[1518] "Feedback means" refers to an interface, such as a device, application, or web portal, through which a user can enter a rating after completing a task.

[1519] "Storage means" refers to the function of storing evaluation data from the feedback means in a database and using it to select future providers.

[1520] "Service provider" refers to a company or individual that provides services such as housekeeping services.

[1521] "Database" refers to a data repository for systematically storing and managing information within a system.

[1522] The "request notification" refers to a notification that includes information such as the user's request content and desired date and time, and is sent to the service provider.

[1523] "Evaluation data" refers to the evaluation or feedback that a user enters regarding a provider's service after completing a task.

[1524] "Emotion engine" refers to algorithms and programs that analyze a user's text data and identify their emotional state.

[1525] "AI algorithm" refers to a computational method for data analysis and optimization using artificial intelligence.

[1526] This invention is a system that allows users to smoothly request and receive housekeeping services. Specifically, it selects the most suitable service provider based on the request details and evaluation data entered by the user, and can notify the user in a way that takes into account their feelings.

[1527] Overall system configuration

[1528] The system consists of the following main components:

[1529] User Input Method

[1530] Server Means

[1531] Selection method

[1532] sentiment analysis tool

[1533] Notification means

[1534] Confirmation notification method

[1535] Progress management method

[1536] Feedback Methods

[1537] Preservation means

[1538] Data flow

[1539] 1. User Input Method:

[1540] Provide an interface for users to enter their request and desired date and time. This can include a smartphone app or a web portal. For example, a user might enter, "I'd like cleaning done tomorrow at 9:00."

[1541] 2. Server means:

[1542] Receives input data sent from the terminal and stores the data in a database. HTTP requests can be used for the receiving process.

[1543] 3. Selection method:

[1544] The server retrieves information about service providers from the database and uses an AI algorithm to select the service provider that best suits the user's request. Selection criteria include provider ratings, past performance, and availability. For example, it selects providers A, B, and C with high ratings.

[1545] 4. Sentiment analysis tools:

[1546] The server passes the request details and the user's evaluation data to the emotion engine, which then analyzes the results to understand the user's emotional state, such as "very satisfied" or "anxious because the deadline is approaching."

[1547] 5. Means of notification:

[1548] The server sends a request notification to the selected service provider and receives a response. The notification includes the request details and desired date and time. For example, a notification may be sent saying, "Cleaning request for October 10, 2023 at 9:00 AM."

[1549] 6. Confirmation notification method:

[1550] The server receives the provider's response and notifies the user of the confirmed schedule. Specifically, if Company A replies "Accept," the server notifies the user that "Company A will come to clean at 9 o'clock."

[1551] 7. Progress management measures:

[1552] When the contractor's terminal starts work, it sends a start notification to the server, which is reflected on the user's progress screen. When the work is completed, the contractor's terminal sends another completion notification, which the server notifies the user.

[1553] 8. Feedback methods:

[1554] The user's device displays an evaluation screen after the service is completed, and the user can enter their evaluation and feedback. For example, they can rate the service "very satisfied" and enter feedback such as "Thank you for your prompt response."

[1555] 9. Preservation means:

[1556] The server stores the evaluation data from the feedback means in a database and uses it to select future service providers, thereby improving the quality of the service by reusing the emotion engine.

[1557] Specific examples

[1558] A user enters, "I'd like cleaning done tomorrow at 9 o'clock." This request is sent to the server and saved in a database. The server uses an AI algorithm and emotion engine to select highly rated contractors A, B, and C. First, a notification is sent to contractor A, who replies, "Accept." The server uses this information to reflect the results of the emotion engine and sends a confirmation notification to the user, stating, "Contractor A will come to clean at 9 o'clock." Contractor A begins the work and, once it is completed, the server manages its progress and notifies the user. Finally, the user enters a rating and feedback, saying, "Very satisfied," and the server saves this in a database, analyzes it using the emotion engine, and uses it to select contractors for the next time and beyond.

[1559] Prompt Sentence Examples

[1560] "Devourite a program for a system that reflects the user's emotions and provides the most appropriate housekeeping service. Please explain the entire process, from the user entering the details of the request and the desired date and time, to the user entering feedback after the task is completed."

[1561] In this way, the present invention realizes a system that reduces the burden on users, provides efficient housekeeping services, and improves the quality of services by taking into account the feelings of the users.

[1562] The flow of the identification process in the second embodiment will be described with reference to FIG.

[1563] Step 1:

[1564] The user inputs the requested details of the housekeeping service and the desired date and time.

[1565] Specific operation: The user logs in to the dedicated app or web portal, enters the request details (e.g., cleaning) and desired date and time (e.g., October 10, 2023, 9:00), and presses the "Send" button.

[1566] Input: Request details, desired date and time

[1567] Output: The request details and desired date and time are sent from the terminal to the server.

[1568] Step 2:

[1569] The terminal transmits the received input data to the server, which stores the data in a database.

[1570] Specific operation: The terminal sends the request details and desired date and time data to the server via an HTTP request, and the server stores it in a database.

[1571] Input: Request details and desired date and time data

[1572] Output: Request details and desired date and time stored in the database.

[1573] Step 3:

[1574] The server retrieves information about service providers from the database and selects the most suitable provider based on the request data.

[1575] Specific operation: The server retrieves information such as provider ratings, past performance, and availability from the database, and uses an AI algorithm to select the most suitable provider.

[1576] Input: Provider information stored in the database and user request data

[1577] Output: A list of the best providers

[1578] Step 4:

[1579] The server passes the request content and the user's evaluation data to the emotion engine to analyze the user's emotions.

[1580] Specific operation: The server uses an emotion engine to analyze the request content and past evaluation data to identify the user's emotional state.

[1581] Input: Request details, evaluation data

[1582] Output: User's emotional state

[1583] Step 5:

[1584] The server sends a request notification to the provider based on the selection results and sentiment analysis results, and receives a response.

[1585] Specific operation: The server sends the notification content (request content, desired date and time, and sentiment analysis results) to the provider's terminal, and the provider sends a response of "accept" or "reject."

[1586] Input: list of optimal donors, emotional state

[1587] Output: Provider response

[1588] Step 6:

[1589] The server receives the response from the provider and notifies the user of the confirmed schedule.

[1590] Specific operation: If the provider replies "accept," the server notifies the user that "a cleaning company will come to clean the room at 9 o'clock." If the provider rejects the request, the server sends another notification to the next provider.

[1591] Input: Provider response

[1592] Output: Confirmation notification to user

[1593] Step 7:

[1594] When the contractor's terminal starts work, it sends a start notification to the server and manages the work progress.

[1595] Specific operation: The contractor's device presses the "Start work" button, the server receives it and reflects it on the user's progress screen. When the work is completed, a "Completion notification" is sent in the same way.

[1596] Input: Work start notification, completion notification

[1597] Output: Reflection on the user's progress screen

[1598] Step 8:

[1599] The user's terminal displays an evaluation screen after the task is completed, and the user inputs an evaluation and feedback.

[1600] Specific action: The user rates the service as "Very satisfied" and enters feedback such as "Thank you for your quick response" and submits the response.

[1601] Input: User ratings and feedback

[1602] Output: The rating data is sent to the server and stored in a database.

[1603] Step 9:

[1604] The server stores the evaluation data in a database and uses an emotion engine to reflect this in future provider selection.

[1605] Specific operation: The server stores the evaluation data in a database, analyzes it using an emotion engine, and uses it to select the most suitable provider in future.

[1606] Input: Evaluation data

[1607] Output: Improved accuracy of selecting the optimal provider

[1608] (Application example 2)

[1609] Next, a description will be given of Application Example 2. In the following description, the data processing device 12 will be referred to as a "server" and the robot 414 will be referred to as a "terminal."

[1610] When requesting a housekeeping service, users must go through complicated procedures and spend a lot of time and effort selecting the most suitable service provider. Furthermore, conventional systems do not take into account the user's feelings, which may affect the quality of the service. Furthermore, the inefficient service provider selection process makes it difficult to improve user satisfaction.

[1611] The specific processing by the specific processing unit 290 of the data processing device 12 in the application example 2 is realized by the following means.

[1612] In this invention, the server includes: a user input means for accepting a user's request; a server means for receiving input data from the user input means and saving it in a database; a selection means for retrieving information on business support providers from the database and selecting the provider best suited to the request; a notification means for sending a request notification to the selected provider and receiving a response from the provider; a determination notification means for sending a determination notification to the user terminal; a progress management means for managing the progress of the provider and notifying the user and the server; a feedback means for the user to input an evaluation after the completion of the work; a storage means for saving the evaluation data from the feedback means in a database and using it for future provider selection; an emotion analysis means for analyzing emotions from the user's input and reflecting the results in the provider selection and notification content; and a suggestion means for using an AI algorithm to suggest the best provider taking the user's emotions into consideration when selecting a provider. This allows users to easily request housekeeping services, and the provision of optimal services that take emotions into consideration can improve user satisfaction.

[1613] The "user input means" is an interface that allows the user to input the request details and desired date and time.

[1614] The "server means" is a server function for receiving input data from the user input means and storing it in a database.

[1615] The "selection means" is a function that allows the server means to obtain information on business support companies from the database and select the company that best suits the request.

[1616] The "notification means" is a function for sending a request notification to the trader selected by the selection means and receiving a response from the trader.

[1617] The "determination notification means" is a function for transmitting a determination notification from the notification means to the user terminal.

[1618] The "progress management means" is a function for managing the work progress of the contractor and notifying the user and the server.

[1619] The "feedback means" is an interface that allows the user to input an evaluation after completing a task.

[1620] The "storage means" is a function for storing evaluation data from the feedback means in a database and utilizing it for future contractor selection.

[1621] The "emotion analysis means" is a function for analyzing the emotions from the content entered by the user and reflecting the results in the selection of a company and the content of the notification.

[1622] "Suggestion method" is a function that uses an AI algorithm to suggest the most suitable contractor by taking into account the user's feelings when selecting a contractor.

[1623] The present invention is a system that allows users to efficiently request and receive housekeeping services. This system allows users to input the details of their request and the desired date and time using a device such as a smartphone or smart glasses, transmit the data to a server, and then select the most suitable company.

[1624] Accepting user requests

[1625] A user uses a user terminal such as a smartphone or smart glasses to input the details of a request for housekeeping services (e.g., cleaning or cooking) and the desired date and time. The user input means receives this input data and transmits it to the server means. The server stores the received data in a database.

[1626] Analyzing requirements and selecting the best contractor

[1627] The server analyzes the user's request and retrieves information about contractors from a database. Based on the retrieved information, the selection method uses an AI algorithm to select the most suitable contractor, taking into consideration factors such as ratings, past performance, and availability. During this process, the emotion analysis method analyzes the user's input and reflects the results in the contractor selection.

[1628] Notifying vendors and coordinating schedules

[1629] The notification means sends a request notification to the provider selected by the selection means. When the provider receives this notification, it can choose to accept or reject the request. The provider's response is sent to the server by the notification means, and the server determines the next action based on the response. If the request is accepted, the server sends a confirmation notification to the user using the confirmation notification means.

[1630] Work progress management

[1631] When the contractor starts the work, the progress management means manages the progress of the work in real time and notifies the user terminal and the server. When the work is completed, the contractor sends a completion notification to the server, and the server notifies the user of this information.

[1632] Feedback and Emotional Reflection

[1633] A feedback means is provided for users to input their evaluation after completing a task. The user inputs their evaluation and feedback on the service, and the terminal sends this to the server. The storage means stores the received evaluation data in a database and uses it for future contractor selection. Furthermore, an emotion analysis means is used to analyze the user's emotions and automatically adjust the evaluation data.

[1634] Specific example explanation

[1635] For example, a user might input, "I'd like cleaning done tomorrow at 9 o'clock." This request is sent to the server and saved in a database. The server then uses an AI algorithm and sentiment analysis means to select a highly rated contractor. The notification means sends a notification to the selected contractor, and if the contractor replies "accept," the server sends a confirmation notification reflecting the sentiment analysis results to the user. After the work begins, the progress management means notifies the user of the information in real time, and after completion, the feedback means receives an evaluation. By appropriately reflecting sentiment analysis in this series of processes, an advanced user experience and improved service quality are achieved.

[1636] Examples of application to generative AI models and prompt sentences

[1637] As an example of using a generative AI model to perform sentiment analysis in a program, the following prompt sentence is input into the AI ​​model.

[1638] "Analyze the sentiment from the user's input and select the best company.

[1639] Type: 'I'd like you to clean my room. It's not very clean, but I'd like to change that.'

[1640] Emotion analysis result: 'confused'

[1641] Best Vendor Rating: 4.9

[1642] In this way, the present invention realizes a system that provides efficient and high-quality housekeeping services by reducing the burden on users and selecting the most appropriate contractor taking their emotions into consideration.

[1643] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[1644] Step 1:

[1645] The user inputs the details of the request for housekeeping services and the desired date and time using a terminal such as a smartphone or smart glasses. The user input means receives this input data and transmits it to the server.

[1646] Input: Request details and desired date and time

[1647] Output: Request data sent to the server

[1648] Specific operations: Enter the request details (e.g., "cleaning") and desired date and time (e.g., October 10, 2023, 9:00) into the form on the device, and press the send button.

[1649] Step 2:

[1650] The server receives the user's request details and desired date and time data and stores them in a database.

[1651] Input: Request data sent from the terminal

[1652] Output: Request data stored in the database

[1653] Specific operation: The server analyzes the received data and stores it in a database management system (e.g., MySQL or PostgreSQL).

[1654] Step 3:

[1655] The server retrieves information on business support providers from the database and uses an AI algorithm to select the provider that best suits the request, taking into account the results of analyzing the user's emotions using an emotion analysis tool.

[1656] Input: Request data and vendor information stored in the database

[1657] Output: Selected best vendors

[1658] Specific operation: The server executes an AI algorithm written in Python, and selects vendor A based on the evaluation, past performance, availability, and the results of emotion analysis (e.g., "confused").

[1659] Step 4:

[1660] The server sends a request notification to the selected vendor, who receives the notification, chooses to accept or decline, and sends a response to the server.

[1661] Input: Selected best supplier

[1662] Output: Response from the merchant ('Accept' or 'Reject')

[1663] Specific operation: The server sends a notification to the vendor's device via API, and the vendor checks the notification in a dedicated application, clicks a button to accept or reject the notification, and returns the response to the server.

[1664] Step 5:

[1665] The server receives the response from the provider, and if the provider accepts, sends a confirmation notice to the user terminal.

[1666] Input: Response from vendor

[1667] Output: Confirmation notification to user

[1668] Specific operation: The server checks the response, and if the contractor selects "Accept," it sends a message to the user's terminal saying, "Contractor A will come to clean at 9 o'clock."

[1669] Step 6:

[1670] When the contractor starts work, a work start notification is sent from the terminal to the server, and the server notifies the user through the progress management means.

[1671] Input: Work Start Notice

[1672] Output: User notification that work has started

[1673] Specific operation: When the contractor's terminal presses the start work button, a start notification is sent to the server, and a notification stating "Work has started" is displayed on the user's progress screen.

[1674] Step 7:

[1675] When the contractor completes the work, the terminal sends a completion notification to the server, and the server notifies the user of this.

[1676] Input: Work Completion Notification

[1677] Output: User notification that the task is complete

[1678] Specific operation: When the contractor's terminal presses the work completion button, a completion notification is sent to the server, and a notification stating "Work completed" is displayed on the user's progress screen.

[1679] Step 8:

[1680] After completing a task, the user enters their rating and feedback, which is then sent to the server, which stores the rating data in a database.

[1681] Input: User Ratings and Feedback

[1682] Output: Evaluation data stored in a database

[1683] Specific operation: The user fills in the rating form (e.g., "5-star rating and comment") and presses the submit button. The server stores the rating in the database.

[1684] Step 9:

[1685] The server uses emotion analysis means to analyze the user's emotions based on the stored evaluation data and reflects this in future vendor selection.

[1686] Input: Evaluation data

[1687] Output: User sentiment analysis results

[1688] Specific operation: The server performs sentiment analysis on the stored evaluation data using an NLP model, and incorporates the analysis results (e.g., "satisfied") into the next vendor selection algorithm.

[1689] The specific processing unit 290 transmits the result of the specific processing to the robot 414. In the robot 414, the control unit 46A causes the speaker 240 and the control target 443 to output the result of the specific processing. The microphone 238 acquires voice indicating a user input regarding the result of the specific processing. The control unit 46A transmits voice data indicating the user input acquired by the microphone 238 to the data processing device 12. In the data processing device 12, the specific processing unit 290 acquires the voice data.

[1690] The data generation model 58 is a so-called generative AI (Artificial Intelligence). An example of the data generation model 58 is ChatGPT (Internet Search<URL: https: / / openai.com / blog / chatgpt> ), Gemini (Internet search <url: https: gemini.google.com ?hl="ja">) and other generation AIs. The data generation model 58 is obtained by performing deep learning on a neural network. A prompt including an instruction is input to the data generation model 58, and inference data such as voice data indicating voice, text data indicating text, and image data indicating an image is also input. The data generation model 58 performs inference on the input inference data in accordance with the instruction indicated by the prompt, and outputs the inference result in a data format such as voice data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization.

[1691] In the above embodiment, an example was given in which the specific processing is performed by the data processing device 12, but the technology of the present disclosure is not limited to this, and the specific processing may be performed by the robot 414.

[1692] The emotion identification model 59 as an emotion engine may determine the user's emotion according to a specific mapping. Specifically, the emotion identification model 59 may determine the user's emotion according to an emotion map (see FIG. 9), which is a specific mapping. Similarly, the emotion identification model 59 may determine the robot's emotion, and the identification processing unit 290 may perform identification processing using the robot's emotion.

[1693] FIG. 9 is a diagram illustrating an emotion map 400 on which multiple emotions are mapped. In the emotion map 400, emotions are arranged in concentric circles radiating from the center. Emotions closer to the center of the concentric circles are more primitive. Emotions representing states and actions arising from a state of mind are arranged on the outer edges of the concentric circles. The concept of emotion includes both affect and mental states. Emotions generally generated from reactions occurring in the brain are arranged on the left side of the concentric circles. Emotions generally induced by situational judgment are arranged on the right side of the concentric circles. Emotions generally generated from reactions occurring in the brain and induced by situational judgment are arranged on the upper and lower sides of the concentric circles. Furthermore, the emotion of "pleasure" is arranged on the upper side of the concentric circles, and the emotion of "discomfort" is arranged on the lower side. In this way, in the emotion map 400, multiple emotions are mapped based on the structure by which emotions are generated, and emotions that tend to occur simultaneously are mapped close to each other.

[1694] These emotions are distributed in the 3 o'clock direction on emotion map 400, and typically fluctuate between relief and anxiety. In the right half of emotion map 400, situational awareness dominates over internal sensations, resulting in a sense of calm.

[1695] The inside of emotion map 400 represents what is going on in the mind, and the outside of emotion map 400 represents behavior, so the further you go outside emotion map 400, the more visible the emotions become (the more they are expressed in behavior).

[1696] Human emotions are based on various balances, such as posture and blood sugar levels. When these balances deviate from the ideal, a state of discomfort is indicated, and when they approach the ideal, a state of pleasure is indicated. Emotions can also be created for robots, automobiles, and motorcycles, based on various balances, such as posture and remaining battery life. When these balances deviate from the ideal, a state of discomfort is indicated, and when they approach the ideal, a state of pleasure is indicated. An emotion map can be generated, for example, based on Dr. Mitsuyoshi's emotion map (Research on Voice Emotion Recognition and Emotional Brain Physiological Signal Analysis Systems, Tokushima University, Doctoral Dissertation: https: / / ci.nii.ac.jp / naid / 500000375379). The left half of the emotion map lists emotions belonging to the "reaction" domain, where sensation is dominant. The right half of the emotion map lists emotions belonging to the "situation" domain, where situational awareness is dominant.

[1697] The emotion map defines two emotions that promote learning. One is a negative emotion on the situation side, around the middle of "repentance" or "reflection." In other words, this occurs when the robot experiences negative emotions such as "I never want to feel this way again" or "I don't want to be scolded again." The other is a positive emotion on the response side, around "desire." In other words, this occurs when the robot experiences positive feelings such as "I want more" or "I want to know more."

[1698] The emotion identification model 59 inputs user input into a pre-trained neural network, obtains emotion values ​​indicating each emotion shown in the emotion map 400, and determines the user's emotion. This neural network is pre-trained based on multiple pieces of training data that are combinations of user input and emotion values ​​indicating each emotion shown in the emotion map 400. Furthermore, this neural network is trained so that emotions that are located close to each other have similar values, as in the emotion map 900 shown in FIG. 10. FIG. 10 shows an example in which multiple emotions, "relieved," "calm," and "reassuring," have similar emotion values.

[1699] The system according to the present disclosure has been described above mainly with respect to the functions of the data processing device 12, but the system according to the present disclosure is not necessarily implemented on a server. The system according to the present disclosure may be implemented as a general information processing system. The present disclosure may be implemented, for example, as a software program running on a personal computer or an application running on a smartphone, etc. The method according to the present disclosure may be provided to users in the form of SaaS (Software as a Service).

[1700] In the above embodiment, an example was given in which the specific processing is performed by one computer 22, but the technology of the present disclosure is not limited to this, and the specific processing may be distributed and performed by a plurality of computers including the computer 22. For example, the data generation model 58 may be provided in an external device of the data processing device 12, and data may be generated in the external device in accordance with input data.

[1701] In the above embodiment, an example in which the specific processing program 56 is stored in the storage 32 has been described, but the technology of the present disclosure is not limited to this. For example, the specific processing program 56 may be stored in a portable, computer-readable, non-transitory storage medium such as a USB (Universal Serial Bus) memory. The specific processing program 56 stored in the non-transitory storage medium is installed in the computer 22 of the data processing device 12. The processor 28 executes the specific processing in accordance with the specific processing program 56.

[1702] Alternatively, the specific processing program 56 may be stored in a storage device such as a server connected to the data processing device 12 via the network 54, and the specific processing program 56 may be downloaded and installed on the computer 22 in response to a request from the data processing device 12.

[1703] It is not necessary to store all of the specific processing program 56 in a storage device such as a server connected to the data processing device 12 via the network 54, or to store all of the specific processing program 56 in the storage 32; only a portion of the specific processing program 56 may be stored.

[1704] The hardware resource for executing a specific process can be any of the following processors: An example of a processor is a CPU, which is a general-purpose processor that functions as a hardware resource for executing a specific process by executing software, i.e., a program. Another example of a processor is a dedicated electrical circuit, such as an FPGA (Field-Programmable Gate Array), a PLD (Programmable Logic Device), or an ASIC (Application Specific Integrated Circuit), which is a processor with a circuit configuration designed specifically for executing a specific process. Each processor has built-in or connected memory, and each processor uses the memory to execute the specific process.

[1705] The hardware resource that executes the specific processing may be configured with one of these various processors, or may be configured with a combination of two or more processors of the same or different types (for example, a combination of multiple FPGAs, or a combination of a CPU and an FPGA). Also, the hardware resource that executes the specific processing may be a single processor.

[1706] As an example of a system configured with a single processor, first, one processor is configured by combining one or more CPUs and software, and this processor functions as a hardware resource that executes a specific process. Second, there is a system that uses a processor that realizes the functions of an entire system including multiple hardware resources that execute a specific process on a single IC chip, as typified by SoC (System-on-a-chip). In this way, a specific process is realized using one or more of the above-mentioned various processors as hardware resources.

[1707] Furthermore, the hardware structure of these various processors can be, more specifically, an electric circuit that combines circuit elements such as semiconductor devices. The specific processing described above is merely an example. Therefore, it goes without saying that unnecessary steps may be deleted, new steps may be added, or the processing order may be rearranged, without departing from the spirit of the invention.

[1708] The above-described description and illustrations are a detailed explanation of the parts related to the technology of the present disclosure and are merely an example of the technology of the present disclosure. For example, the above description of the configuration, functions, actions, and effects is an explanation of an example of the configuration, functions, actions, and effects of the parts related to the technology of the present disclosure. Therefore, it goes without saying that unnecessary parts may be deleted, new elements may be added, or replacements may be made to the above-described description and illustrations within the scope of the gist of the technology of the present disclosure. Furthermore, to avoid confusion and facilitate understanding of the parts related to the technology of the present disclosure, the above-described description and illustrations omit explanations of common technical knowledge that do not require particular explanation to enable the implementation of the technology of the present disclosure.

[1709] All publications, patent applications, and technical standards mentioned in this specification are herein incorporated by reference to the same extent as if each individual publication, patent application, or technical standard was specifically and individually indicated to be incorporated by reference.

[1710] The following is further disclosed regarding the above embodiment.

[1711] (Claim 1)

[1712] a user input means for inputting the request content and desired date and time by the user;

[1713] a server means for receiving input data from the user input means and storing the input data in a database;

[1714] a selection means for the server means to acquire information on housekeeping agents from the database and select the agent that best suits the request;

[1715] a notification means for transmitting a request notification to the trader selected by the selection means and receiving a response from the trader;

[1716] a determination notification means for transmitting a determination notification from the notification means to a user terminal;

[1717] a progress management ...

Claims

1. a user input means for inputting the request content and desired date and time by the user; a server means for receiving input data from the user input means and storing the input data in a database; a selection means for the server means to acquire information on housekeeping agents from the database and select the agent that best suits the request; a notification means for transmitting a request notification to the trader selected by the selection means and receiving a response from the trader; a determination notification means for transmitting a determination notification from the notification means to a user terminal; a progress management means for managing the work progress of the contractor and notifying the user and the server; A feedback means for the user to input an evaluation after completing the task; a storage means for storing the evaluation data from the feedback means in a database and utilizing the data for future contractor selection; A system including:

2. The system according to claim 1, wherein the selection means uses an AI algorithm that selects the most suitable contractor taking into consideration contractor evaluations, past performance, and availability.

3. 2. The system according to claim 1, wherein said notification means receives a response from the supplier accepting or rejecting the request, and sends a notification to the next supplier based on the response.

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