system

Abstract

Provide a system. [Solution] a means for a user to input a current schedule; A means for the server to acquire vacancy status, location information, and facility information from each satellite office providing service; A means for the server to collect traffic information to the next destination; A means for the server to select the optimal satellite office based on the user's input information and acquired data; A means for the terminal to display the recommendation results from the server; A means for a user to make a reservation from among the displayed satellite offices; The system includes a means for the server to send a reservation request to the selected satellite office and notify the user's terminal of the reservation result.

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 use of satellite offices is one way to effectively utilize the time that arises when traveling for work, such as visiting clients or on business trips. However, each office has its own differences in location, access, seating type, availability, etc., making it difficult to select the appropriate office. Furthermore, schedules before and after the office and transportation methods must also be taken into consideration, making it difficult to make an efficient selection. For this reason, a system that reduces the workload of employees and provides an efficient work environment is needed. [Means for solving the problem]

[0005] The present invention is a system that includes a means for a user to input their current schedule, a means for a server to acquire availability, location information, and facility information from each satellite office providing service, a means for the server to collect transportation information to the next destination, a means for the server to select the optimal satellite office based on the information input by the user and the acquired data, a means for a terminal to display the recommendation results from the server, a means for the user to make a reservation from among the displayed satellite offices, and a means for the server to send a reservation request to the selected satellite office and notify the user's terminal of the reservation result. This allows users to efficiently select and reserve the optimal satellite office, making effective use of spare time during business travel.

[0006] "User" refers to an individual or corporation that uses the system to input schedules and reserve satellite offices.

[0007] A "server" is a computer system that receives input information from users, obtains data from each satellite office service, and selects the most suitable satellite office.

[0008] "Satellite office provision service" refers to a service provider that provides satellite office availability, location information, and facility information.

[0009] "Availability" refers to the current reservation status of available seat types and spaces within the satellite office.

[0010] "Location information" refers to the location, address, and access information such as the nearest station of the satellite office.

[0011] "Facility information" refers to detailed information about the facilities and available services within the satellite office (e.g., private rooms, conference rooms, Wi-Fi, etc.).

[0012] "Transportation information" refers to information relating to the means of transportation and the required time from the user's current location to the next destination.

[0013] "Recommendation results" refer to the proposed satellite office information that the server determines to be optimal based on the evaluation criteria.

[0014] A "reservation request" refers to the operation and information required to reserve a satellite office selected by the user.

[0015] "Reservation result" refers to notification information on the confirmation status of a reservation received by the server from the satellite office service.

[0016] A "terminal" is a device used by a user, such as a computer, smartphone, or tablet. [Brief explanation of the drawings]

[0017] [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

[0018] 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.

[0019] First, the terms used in the following description will be explained.

[0020] 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).

[0021] 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.

[0022] 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.

[0023] 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.

[0024] 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."

[0025] [First embodiment]

[0026] FIG. 1 shows an example of the configuration of a data processing system 10 according to the first embodiment.

[0027] 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.

[0028] 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).

[0029] 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.

[0030] 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.

[0031] 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.

[0032] 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.

[0033] FIG. 2 shows an example of the main functions of the data processing device 12 and the smart device 14.

[0034] 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.

[0035] 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.

[0036] 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.

[0037] 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."

[0038] This invention relates to a system that supports efficient selection and reservation of satellite offices. This system provides a series of processes: a user inputs their current schedule, a server obtains availability, location information, and facility information from each satellite office providing service, collects transportation information to the next destination, recommends the most suitable satellite office to the user, and confirms the reservation.

[0039] User operations

[0040] 1. Enter user schedule:

[0041] Users input their schedules using a dedicated application or a web interface. For example, they can enter specific plans such as "10:00-11:00, visit a customer at Station A" or "14:00-15:00, meeting at Station B." They also enter information about their next destination (e.g., Station B) and the type of seating they would like (e.g., private room).

[0042] Server Processing

[0043] 1. Data Collection:

[0044] The server receives the schedule information sent by the user and sends an API request to each satellite office service provider (e.g., Provider A, Provider B, etc.) to obtain the current availability, location information, and facility information of the satellite office.

[0045] 2. Traffic information collection:

[0046] The server uses a map service (e.g., map API) to obtain the transportation method and required time from the current location to the next destination. It collects information on multiple transportation methods such as walking, train, bus, and car, and calculates the required time for each.

[0047] 3. Data synthesis and analysis:

[0048] The server selects the optimal satellite office by integrating the user's schedule, satellite office availability, location information, and traffic information. These data are scored based on specific evaluation criteria (e.g., ease of access, availability of desired seating type, transportation method, and travel time).

[0049] Device operation

[0050] 1. Displaying recommendation results:

[0051] The terminal displays the recommendation results sent from the server to the user, including the name, address, access method, travel time, available seat types and their availability, and facility information of the recommended satellite office.

[0052] 2. Select your reservation:

[0053] The user selects a desired office from the displayed satellite offices and presses the reservation button to make a reservation.

[0054] Server Processing

[0055] 1. Confirmation of reservation:

[0056] The server receives the user's reservation request and sends it to the selected satellite office. If the reservation is successful, the server notifies the user's device of the reservation confirmation information. The reservation information is also automatically added to the user's schedule, and can be linked to a calendar app.

[0057] Specific examples

[0058] For example, consider the case where a user inputs "10:00-11:00, visit a client at Station A" and "14:00-15:00, meeting at Station B," and specifies Station B as the next destination and a private room as the desired seating type. The server obtains the availability of satellite offices around Station A and Station B from providers A and B, and uses a map API to obtain the travel time from Station A to Station B. Based on this, it determines that the satellite office of provider A, which is a five-minute walk away, is optimal and recommends it to the user. When the user selects an office of provider A and presses the reservation button, the server sends a reservation request to provider A, and the user is notified once the reservation is confirmed. In this way, users can use satellite offices efficiently.

[0059] The processing flow will be explained below.

[0060] Step 1:

[0061] The user logs in to a dedicated application or web page and enters their schedule information. For example, they can enter specific plans such as "10:00-11:00, visit a customer at Station A" or "14:00-15:00, meeting at Station B," as well as the next destination and desired seating type (e.g., "private room").

[0062] Step 2:

[0063] The terminal sends the user's input data, including schedule information, next visit destination information, and desired seat type information, to the server.

[0064] Step 3:

[0065] The server receives the user's input information, sends an API request to each satellite office service provider (e.g., Provider A, Provider B, etc.), and obtains the following information:

[0066] Current availability

[0067] Location information (address, nearest station, etc.)

[0068] Facility information (seat type, facilities, etc.)

[0069] Step 4:

[0070] The server uses a map service (e.g., map API) to collect the travel times for multiple modes of transportation (walking, train, bus, car) from the user's location to the next destination.

[0071] Step 5:

[0072] The server combines the user's input data, information obtained from each satellite office, and traffic information to select the most suitable satellite office. The evaluation criteria include:

[0073] Location and ease of access

[0074] Availability of desired seat type

[0075] Time required to reach next destination

[0076] Equipment information

[0077] Step 6:

[0078] The server sends the selection results to the device, which then displays the following recommendations to the user:

[0079] Name and address of recommended satellite office

[0080] Travel time and access to the office

[0081] Available seat types and availability

[0082] Office facilities information

[0083] Step 7:

[0084] The user selects the desired satellite office from the displayed recommendation results and presses the "Reserve" button to make the reservation.

[0085] Step 8:

[0086] The terminal sends a reservation request to the server, which receives the reservation request and sends it to the selected satellite office.

[0087] Step 9:

[0088] The server checks the reservation status, and if the reservation is successful, it notifies the device. At the same time, the reservation information is added to the user's schedule and synchronized with the calendar app.

[0089] Step 10:

[0090] The user receives a confirmation notice displayed on the terminal, confirming that the reservation has been confirmed.

[0091] The above is the specific flow of program processing.

[0092] Example 1

[0093] 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."

[0094] With conventional satellite office reservation systems, users had to browse the websites of multiple providers to find the office they wanted, which was extremely time-consuming and made it difficult to make an efficient selection. Users also had to manually check each provider's availability and facility information, and they also had to take the time to consider the best means of transportation to the destination and the required travel time. This resulted in a lack of efficiency and convenience for users.

[0095] 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.

[0096] In this invention, the server includes a means for a user to input their current schedule, a means for acquiring availability, location information, and facility information from each satellite office provision service, a means for calculating transportation methods and travel times using a map service and collecting transportation information to the next destination, a means for scoring and selecting the optimal satellite office based on the user's schedule, satellite office availability, location information, and transportation information, a means for a terminal to display the recommendation results from the server, a means for the user to make a reservation from among the displayed satellite offices, and a means for sending a reservation request to the selected satellite office and notifying the user's terminal of the reservation result. This allows users to efficiently select and reserve a satellite office. Furthermore, the server integrates and analyzes various data and uses a generative AI model to recommend the satellite office best suited to the user's requirements based on prompt statements, thereby quickly and accurately providing the office best suited to the user's needs.

[0097] "User" means an individual or corporation that uses this system to make reservations for satellite offices.

[0098] "Satellite office provision service" refers to a service provider that provides satellite office availability, location information, facility information, etc.

[0099] "Availability" is information indicating the availability of each seat or space within a satellite office.

[0100] "Location information" is information that indicates the location and geographical conditions of a satellite office.

[0101] "Facility information" is information indicating the facilities and services within the satellite office.

[0102] "Transportation" refers to the means of transportation that the user uses to get to the next destination, such as walking, train, bus, or car.

[0103] "Travel time" refers to the time it takes to reach the next destination using various means of transportation.

[0104] The "next destination" is the location that the user plans to visit next on the schedule.

[0105] "Map Service" means an online service that provides geographic and traffic information.

[0106] "Scoring" is the process of evaluating the conditions of each satellite office and assigning them a score.

[0107] "Recommendation results" are information about satellite offices that the server recommends to the user.

[0108] A "generative AI model" is an algorithm that uses machine learning and artificial intelligence techniques to recommend the optimal satellite office.

[0109] A "prompt" is a text-based command or question that is input to a generative AI model.

[0110] This invention relates to a system that supports efficient selection and reservation of satellite offices. This system provides a series of processes: a user inputs their current schedule, a server obtains availability, location information, and facility information from each satellite office providing service, collects transportation information to the next destination, recommends the most suitable satellite office to the user, and confirms the reservation.

[0111] First, the user enters their schedule using a dedicated application or a web interface (e.g., a smartphone app or web portal). Specifically, they enter an appointment such as "10:00-11:00, visit a customer at Station A" or "14:00-15:00, meeting at Station B," and then select the next destination (e.g., Station B) and the desired seating type (e.g., private room). Then, the user presses the "Submit" button, which sends the input data to the server.

[0112] When the server receives the schedule information sent by the user, it sends an API request to each satellite office service provider to obtain availability, location information, and facility information. For example, this applies to Provider A and Provider B. At this time, the server uses the API of each provider to collect the necessary data.

[0113] Next, the server uses a map service API (e.g., Google (registered trademark) Maps API) to obtain the transportation method and travel time from the current location to the next destination. The server collects information on multiple transportation methods, such as walking, train, bus, and car, and calculates the travel time for each. This allows the user to accurately understand the travel time.

[0114] The server then combines the user's schedule, satellite office availability, location information, and transportation information, and scores the optimal satellite office based on this data. The scoring is based on specific evaluation criteria (e.g., ease of access, availability of desired seating type, transportation method and travel time, etc.), and the satellite office with the highest score is selected as the recommendation result. This process uses a generative AI model to provide options that best meet the user's expectations.

[0115] The recommendation results for the selected satellite office are sent to the device (e.g., smartphone, PC). The device displays the recommendation results sent from the server to the user. The displayed information includes the name, address, access method, travel time, available seat types and their availability, and facility information of the recommended satellite office.

[0116] Based on this information, the user selects the desired satellite office and presses the "Reserve" button on their device to proceed with the reservation. When the user presses the "Reserve" button, the information is sent to the server, which then sends a reservation request to the selected satellite office. If the reservation is successful, the server notifies the user's device of the confirmed reservation. This reservation information is also automatically added to the user's schedule and can be linked to a calendar app.

[0117] As a specific example, consider the case where a user inputs "10:00-11:00, visit a customer at Station A" and "14:00-15:00, meeting at Station B," and specifies Station B as the next destination and a private room as the desired seat type. The server obtains the availability of satellite offices around Station A and Station B from Provider A and Provider B, and uses the Google Maps API to obtain the travel time from Station A to Station B. Based on this data, the server scores the optimal satellite office, and for example, determines that the satellite office of Provider A, which is a five-minute walk away, is optimal.

[0118] An example prompt sentence might be fed to a generative AI model in the following form:

[0119] "Please recommend the best satellite office location based on the schedule below."

[0120] User Schedule:

[0121] 10:00 – 11:00, visit customers at Station A

[0122] 14:00 – 15:00, Meeting at Station B

[0123] Next stop: Station B

[0124] Preferred seating type: Private room

[0125] "Select the optimal office based on the availability of satellite offices obtained from each provider and traffic information from a map API, and display the recommendation results."

[0126] The flow of the identification process in the first embodiment will be described with reference to FIG.

[0127] Step 1:

[0128] The user inputs their schedule. The user inputs their plans using a dedicated application or a web interface. For example, they can input plans such as "10:00 - 11:00, visit a customer at Station A" or "14:00 - 15:00, meeting at Station B," and select the next destination (e.g., Station B) and desired seat type (e.g., private room). Once input is complete, the user presses the "Submit" button to send the input data to the server. (Input) User's schedule, next destination, desired seat type. (Output) Input data.

[0129] Step 2:

[0130] The server collects data from each satellite office service. The server receives schedule information sent by the user and sends an API request to each satellite office service. The request includes requests for satellite office availability, location information, and facility information. The necessary data is returned from Provider A, Provider B, etc. (Input) User's schedule information. (Output) Satellite office availability, location information, and facility information.

[0131] Step 3:

[0132] The server uses a map service to collect transportation information. The server uses a map API (e.g., Google Maps API) to obtain the transportation method and travel time from the current location to the next destination (e.g., Station B). It collects information on multiple transportation methods, such as walking, train, bus, and car, and calculates the travel time for each. (Input) Current location, next destination. (Output) Transportation information (method and travel time).

[0133] Step 4:

[0134] The server integrates and analyzes the data. The server integrates the user's schedule, satellite office availability, location information, and traffic information. Based on this data, it scores the satellite offices based on evaluation criteria (e.g., ease of access, availability of desired seat type, means of transportation, and travel time). The satellite office with the highest score is selected. (Input) User input data, satellite office data, traffic information. (Output) Optimal satellite office.

[0135] Step 5:

[0136] The terminal displays the recommendation results. The terminal receives the recommendation results sent from the server and displays them to the user. The displayed information includes the name, address, access method, travel time, available seat types and their availability, facility information, etc. of the recommended satellite office. (Input) Recommendation results from the server. (Output) Display of recommendation results.

[0137] Step 6:

[0138] The user selects a reservation. The user selects the desired office from the displayed satellite offices and presses the "Reserve" button on the terminal. The selection information is sent to the server. (Input) Recommendation result. (Output) Reservation request for the selected satellite office.

[0139] Step 7:

[0140] The server confirms the reservation. The server receives the user's reservation request and sends it to the selected satellite office. If the reservation is successful, the server notifies the user's device of the confirmed reservation information. This reservation information is also automatically added to the user's schedule, and can also be linked to a calendar app. (Input) Reservation request. (Output) Confirmed reservation information, calendar linkage.

[0141] (Application example 1)

[0142] 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."

[0143] Efficiently managing logistics centers and multiple work facilities and optimizing worker schedules and transportation methods is important in many industries. However, with current systems, it is extremely time-consuming and inefficient to individually obtain availability, location, and transportation information for each work facility and then combine this information to select the optimal work facility. This can lead to problems with worker time management and resource waste. The objective of this invention is to solve these problems and provide a system for efficiently and effectively selecting and reserving work facilities.

[0144] 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.

[0145] In this invention, the server includes a means for the user to input the current schedule, a means for the server to acquire availability, location information, and facility information from each work facility provision service, and a means for the server to collect transportation information to the next destination, which makes it possible to efficiently select and reserve the most suitable work facility.

[0146] "Means for users to input their current schedule" refers to an interface or device that allows users to register and input their own plans and tasks into the system.

[0147] "Means for the server to obtain availability, location information, and equipment information from each work facility provision service" refers to a process or device by which the server automatically collects information on the current availability status, location information, and equipment provided from each work facility provision service.

[0148] The "means by which the server collects transportation information to the next destination" refers to a process or device by which the server obtains information about the transportation means and travel time required from the current location to the next destination.

[0149] "Means for the server to select the most suitable work facility based on the user's input information and acquired data" refers to a process or device in which the server comprehensively analyzes the collected information on availability, location, equipment, and traffic of work facilities based on the user's schedule and requirements, and selects the most suitable work facility.

[0150] The "means for the terminal to display the recommendation results from the server" refers to an interface or device that allows the terminal to visually present the recommendation results of the optimal work facility sent from the server to the user.

[0151] The "means for the user to make a reservation from among the displayed work facilities" is an interface or device that allows the user to select the desired facility from the multiple work facility options presented and reserve the use of that facility.

[0152] "Means for the server to send a reservation request to the selected work facility and notify the user's terminal of the reservation result" refers to a process or device in which the server sends a reservation request to the work facility based on the user's selection and notifies the user's terminal of the result.

[0153] The system for implementing this invention is designed to improve the efficiency of work schedule management at a logistics center and multiple work facilities. It has the following configuration to support the series of processes in which a user inputs their current schedule, selects the optimal work facility, and confirms the reservation.

[0154] First, a dedicated smartphone application or web interface is provided as a means for users to input their current schedule. Users can input specific plans for themselves and their employees, as well as their next visit destination and desired work conditions (e.g., the need for specific equipment).

[0155] Next, the server obtains availability, location information, and facility information from each work facility provision service. To obtain this information, the server uses the API of each work facility service. For example, it connects with a logistics management system (WMS) or a facility management system to collect the necessary data.

[0156] The server also collects transportation information to the next destination. To obtain this information, a map service API (e.g., Google Maps API) is used. Specifically, the server specifies the desired starting point and destination and obtains information on the transportation method (truck, forklift, etc.) and required time.

[0157] The server selects the optimal work facility based on the schedule information entered by the user and the acquired data. When selecting, it comprehensively evaluates schedule efficiency, transportation convenience, work facility availability, specific equipment conditions, etc., and recommends the most suitable work facility.

[0158] The recommendation results are displayed on the user's device (smartphone application or web interface). The user selects the desired facility from the displayed work facilities and makes a reservation. The server sends this reservation request to the selected work facility and notifies the device of the reservation result. The HTTPS protocol is used for communication to ensure security.

[0159] Through the above process, logistics center managers can efficiently reserve each work facility and optimize work schedules, significantly reducing waste of time and resources.

[0160] Consider the following scenario as a specific example. If a user inputs "08:00-09:00, receiving goods at Warehouse A" and "13:00-14:00, picking at Warehouse B," and specifies Warehouse C as the next destination, the server collects information on the availability and facilities of each warehouse and obtains traffic information between warehouses using the Google Maps API. By combining this information, the server recommends the most suitable facility to the user. After that, a reservation request is sent to the facility selected by the user, and the user is notified of the results. In this way, logistics efficiency can be improved.

[0161] Additionally, examples of prompts for the generative AI model include:

[0162] Example prompt sentence:

[0163] "We would like to develop an application to support the management of a logistics center. Please provide the design and Python code for an application that allows users to input their schedule, and the system will recommend the most suitable warehouse and confirm the reservation. The APIs used will be the logistics provider's warehouse information API and the Google Maps API. (Example scenario: receiving goods at Warehouse A from 08:00-09:00, picking at Warehouse B from 13:00-14:00, next visit to Warehouse C)"

[0164] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[0165] Step 1:

[0166] The user inputs their current schedule. Using a dedicated smartphone application or web interface, the user inputs their own and their employees' specific schedules (e.g., "08:00-09:00, receiving goods at Warehouse A" and "13:00-14:00, picking at Warehouse B"), as well as the next destination and desired work conditions. The input information is sent to the server.

[0167] Input: User-entered schedule and working conditions

[0168] Output: Schedule information is saved on the server

[0169] Step 2:

[0170] The server obtains availability, location information, and facility information from each work facility provision service. The server collects information on each work facility through the API of the logistics management system (WMS) and facility management system. The obtained information is stored in a database.

[0171] Input: A specific API endpoint

[0172] Output: The availability, location and equipment information of each work facility is collected and stored in a database.

[0173] Step 3:

[0174] The server collects transportation information to the next destination. The server uses a map service API (e.g., Google Maps API) to obtain the transportation method and travel time from the user's current location to the next destination. This information is also stored in the database.

[0175] Input: Current location and next destination information

[0176] Output: Information on transportation modes and travel times is collected and stored in a database.

[0177] Step 4:

[0178] The server selects the optimal work facility based on the information entered by the user and the collected data. It comprehensively evaluates the user's schedule, availability of each work facility, location information, equipment information, and transportation information, and scores the optimal work facility. The work facility with the highest score is selected.

[0179] Input: User schedule, information on each work facility, traffic information

[0180] Output: Recommendation of optimal work facilities

[0181] Step 5:

[0182] The terminal displays the recommendation results from the server. The user's terminal (smartphone application or web interface) visually presents the recommendation results sent from the server to the user.

[0183] Input: Recommendation results from the server

[0184] Output: Recommendation results displayed on the device

[0185] Step 6:

[0186] The user makes a reservation from among the displayed work facilities. The user selects the desired facility from the multiple work facility options presented and performs the operation to reserve the use of that facility. The reservation request is sent to the server.

[0187] Input: User-selected work facility information

[0188] Output: Booking request sent to the server

[0189] Step 7:

[0190] The server sends a reservation request to the selected work facility and notifies the user's terminal of the reservation result. The server sends the user's reservation request to a specific work facility, obtains the result, and notifies the user's terminal. The reservation confirmation information is also saved in the database.

[0191] Input: User's booking request

[0192] Output: Confirmed reservation information from the work facility and notification to the user

[0193] 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.

[0194] This invention relates to a system that recommends optimal satellite offices based on a user's emotional state by combining an emotion engine that recognizes the user's emotions with an existing efficient satellite office selection and reservation system. This system provides a more comfortable and efficient work environment for users by adding an emotion engine to the series of processes that include user schedule input, data collection and analysis by the server, display of recommendation results on the terminal, and reservation confirmation.

[0195] User operations

[0196] 1. Enter user schedule:

[0197] Users input their schedule information using a dedicated application or a web interface. For example, they can enter specific plans such as "10:00-11:00, visit a customer at Station A" or "14:00-15:00, meeting at Station B." They also enter information about their next destination (e.g., Station B) and the type of seating they would like (e.g., private room).

[0198] 2. Input the user's emotional state:

[0199] Through the same interface, users input their emotional state (e.g., stress, anxiety, joy, concentration, etc.), which is captured through text input or automatic recognition by the emotion engine (e.g., face recognition using a camera).

[0200] Server Processing

[0201] 1. Data Collection:

[0202] The server receives the schedule information and emotional state sent by the user, sends an API request to each satellite office service, and obtains the current availability, location information, and facility information of the satellite office.

[0203] 2. Traffic information collection:

[0204] The server uses a map service to collect information on the means of transportation from the user's current location to the next destination and the required travel time. It collects information on multiple means of transportation, such as walking, train, bus, and car, and calculates the required travel time for each.

[0205] 3. Data synthesis and analysis:

[0206] The server combines the user's input information (schedule, emotional state), satellite office availability, location information, and transportation information to select the optimal satellite office. Evaluation criteria include ease of access, availability of the desired seating type, transportation method and travel time, facility information, and the user's emotional state. For example, if a user is feeling stressed, the server will recommend an office with a relaxing environment.

[0207] Device operation

[0208] 1. Displaying recommendation results:

[0209] The device displays the recommendation results sent from the server to the user, including the name, address, access method, travel time, available seating types and their availability, facility information, and the reason for the recommendation based on the user's emotional state.

[0210] 2. Select your reservation:

[0211] The user selects the desired satellite office from the displayed recommendation results and presses the reservation button to make a reservation.

[0212] Server Processing

[0213] 1. Confirmation of reservation:

[0214] The server receives the user's reservation request and sends it to the selected satellite office. If the reservation is successful, the server notifies the user's device of the reservation confirmation. Again, the reservation information is automatically added to the user's schedule and synchronized with the calendar app.

[0215] Specific examples

[0216] For example, consider the case where a user inputs "10:00–11:00, visit a client at Station A" and "14:00–15:00, meeting at Station B," selects Station B as the next destination, selects a private room as the desired seating type, and lists their current emotional state as "stressed." The server obtains the availability of satellite offices near Stations A and B from Providers A and B, and uses a map service to obtain the travel time from Station A to Station B. Based on this information, the server determines that Provider A's satellite office, located a five-minute walk away, is optimal and recommends it as an office with a relaxing environment (e.g., a private room and a quiet area). When the user selects this office and presses the "Book" button, the server sends a reservation request to Provider A and notifies the user once the reservation is confirmed. In this way, it is possible to select and reserve the optimal satellite office taking into account the user's emotional state.

[0217] The processing flow will be explained below.

[0218] Step 1:

[0219] The user logs in to a dedicated application or web page and enters their schedule information. For example, they can enter specific plans such as "10:00-11:00, visit a customer at Station A" or "14:00-15:00, meeting at Station B," as well as the next destination and desired seating type (e.g., "private room").

[0220] Step 2:

[0221] Through the same interface, users input their emotional state, which can be obtained through text input or automatic recognition by the emotion engine (e.g., face recognition using a camera).

[0222] Step 3:

[0223] The terminal transmits input data (schedule information and emotional state) from the user to the server.

[0224] Step 4:

[0225] The server receives the schedule information and emotional state sent by the user, sends an API request to each satellite office service (e.g., provider A, provider B, etc.), and obtains the following information:

[0226] Current availability

[0227] Location information (address, nearest station, etc.)

[0228] Facility information (seat type, facilities, etc.)

[0229] Step 5:

[0230] The server uses a map service (e.g., map API) to collect the travel times required for multiple means of transportation (walking, train, bus, car) from the user's current location to the next destination.

[0231] Step 6:

[0232] The server aggregates all the data and selects the best satellite office for the user, rating and scoring it based on the following criteria:

[0233] Location and ease of access

[0234] Availability of desired seat type

[0235] Time required to reach next destination

[0236] Equipment information

[0237] The user's emotional state (e.g., a stressed user may prefer an office with a relaxing environment)

[0238] Step 7:

[0239] The server sends the selection results to the device, which then displays the following detailed recommendations to the user:

[0240] Name, address, access method, and travel time of the recommended satellite office

[0241] Available seat types and availability

[0242] Office facilities information

[0243] Recommendation reasons based on user's emotional state

[0244] Step 8:

[0245] The user selects the desired satellite office from the displayed recommendation results and presses the "Reserve" button to make the reservation.

[0246] Step 9:

[0247] The terminal sends a reservation request to the server, which receives the reservation request and sends it to the selected satellite office.

[0248] Step 10:

[0249] The server checks the reservation status, and if the reservation is successful, it notifies the device. In addition, the reservation information is automatically added to the user's schedule and synchronized with the calendar app.

[0250] Step 11:

[0251] The user receives the confirmation notice displayed on the terminal, confirms that the reservation has been confirmed, and prepares for the next visit.

[0252] The above are the specific processing steps of the present invention in which an emotion engine is combined.

[0253] Example 2

[0254] 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."

[0255] Conventional satellite office reservation systems recommend optimal offices based on the user's schedule, office availability, and location information, but they are unable to consider the user's emotional state. This makes it difficult to provide optimal offices when the user is feeling stressed or seeking a relaxing environment. Furthermore, recommendations that take into account transportation information and ease of access are lacking.

[0256] The specific processing by the specific processing unit 290 of the data processing device 12 in the second embodiment is realized by the following means.

[0257] In this invention, the server includes means for the user to input the current schedule, means for the user to input an emotional state, means for acquiring availability, location information, and equipment information from each facility providing service, means for collecting transportation information to the next destination, means for selecting the most suitable facility based on the user's input information, emotional state, and acquired data, means for displaying the recommendation results from the server on the terminal, means for the user to make a reservation from among the displayed facilities, and means for sending a reservation request to the selected facility and notifying the user's terminal of the reservation result. This makes it possible to select the most suitable facility based on transportation information, taking into account the user's emotional state, and confirm the reservation.

[0258] "Schedule" is information indicating the user's plans and plans.

[0259] "Emotional state" is information that indicates the user's current psychological state or mood.

[0260] "Facility provision services" refers to service providers that provide facilities such as satellite offices and coworking spaces.

[0261] "Availability" is information indicating whether a facility is currently available.

[0262] "Location information" is information about the location of a facility.

[0263] "Facility information" refers to information about various facilities and services within the facility.

[0264] "Transportation information" is information relating to the means of transportation and the required time from the user's current location to the destination.

[0265] The "recommendation result" is information about the optimal facility recommended to the user.

[0266] A "reservation request" is a request for a reservation at a facility selected by the user.

[0267] "Reservation result" is information regarding confirmation or rejection of a reservation from the facility service.

[0268] This invention is a system that recommends optimal facilities based on the user's psychological needs by combining existing systems for efficiently selecting and reserving satellite offices and coworking spaces with technology that recognizes the user's emotional state. This system provides a comfortable work environment to the user through a series of processes: the user inputs their schedule, the server collects and analyzes data, and the device displays the recommendation results and confirms the reservation.

[0269] User operations

[0270] Users input their schedule and emotional state using dedicated application software or a web interface. Schedule information includes specific appointments (e.g., "10:00-11:00, visit a customer at Station A" or "14:00-15:00, meeting at Station B") and desired facility information (e.g., "Station B, private room"). Emotional states are acquired through text input or the emotion engine's automatic recognition function (e.g., face recognition technology using a camera).

[0271] Server Processing

[0272] The server receives the schedule information and emotional state sent by the user and sends API requests to each facility service (e.g., Provider A, Provider B, etc.) to obtain availability, location information, and facility information. The server also uses a map service (e.g., Google Maps API) to collect the transportation method and travel time from the user's current location to the next destination. The collected data is integrated with the user's input information and emotional state. The server performs calculations based on this data to select the optimal facility. Evaluation criteria include ease of access, availability of the desired seat type, transportation method and travel time, as well as the user's emotional state. For example, if a user is feeling stressed, the server can recommend a facility with a relaxing environment.

[0273] Device operation

[0274] The device displays the recommendation results sent from the server to the user. The displayed information includes the name, address, access method, travel time, available seating types and their availability, facility information, and the reason for the recommendation based on the user's emotional state. The user selects the desired facility from the displayed recommendation results and presses the "Reserve" button to make a reservation. The server receives the user's reservation request and sends it to the selected facility. If the reservation is successful, the server notifies the user's device of the reservation confirmation. This reservation information is automatically added to the user's schedule and synchronized with the calendar app.

[0275] Specific examples

[0276] For example, consider the case where a user inputs "10:00–11:00, visit a client at Station A" and "14:00–15:00, meeting at Station B," selects Station B as the next destination, selects a private room as the desired seating type, and selects "stressed" as the emotional state. The server obtains the availability of facilities around Station A and Station B from Provider A and Provider B, and uses a map service to obtain the travel time from Station A to Station B. Based on this information, the server determines that a facility from Provider A, located a five-minute walk away, is optimal and recommends it as a facility with a relaxing environment (e.g., a private room, a quiet area). When the user selects this facility and presses the reservation button, the server sends a reservation request to Provider A and notifies the user once the reservation is confirmed. In this way, it is possible to select and reserve the optimal facility taking into account the user's emotional state.

[0277] Example prompts for generative AI models

[0278] "This system allows users to input their schedule and emotional state, and then recommends and reserves the most suitable satellite office. For example, if a user inputs a specific schedule such as '10:00-11:00, visit a client at Station A' and '14:00-15:00, meeting at Station B' and enters their emotional state as 'stressed,' the server will recommend the most suitable office based on the availability and transportation information of each satellite office."

[0279] The flow of the identification process in the second embodiment will be described with reference to FIG.

[0280] Step 1:

[0281] Users input their schedule information and emotional state through a dedicated application or web interface. The input schedule information is in the form of "10:00-11:00, visit a customer at Station A" or "14:00-15:00, meeting at Station B." Emotional states are expressed using keywords such as "stress." Schedule information and emotional states are obtained as input data.

[0282] Step 2:

[0283] The server receives the schedule information and emotional state sent by the user. The server analyzes this data and processes it as needed, such as by converting the format. It then sends an API request to each facility service. The API request includes the satellite office's availability, location information, and facility information. Response data from each facility service is obtained as output.

[0284] Step 3:

[0285] The server calls a map service (e.g., Google Maps API) to collect the transportation method and travel time from the user's current location to the next destination. For example, transportation methods can be walking, train, bus, or car. The travel time for each transportation method is collected as data, and transportation information is obtained as output.

[0286] Step 4:

[0287] The server integrates the user's schedule information, emotional state, facility availability, location information, and traffic information. Based on this integrated data, the server executes a scoring algorithm to select the optimal facility. Evaluation criteria include ease of access, availability of desired seating type, transportation method and travel time, facility information, and the user's emotional state. For example, for a user who is feeling stressed, a facility with a relaxing environment will be assigned a high score. The optimal facility is selected as the output.

[0288] Step 5:

[0289] The device displays the recommendation results sent from the server to the user. The displayed information includes the name, address, access method, travel time, available seating types and their availability, facility information, and the reason for the recommendation based on the user's emotional state. The user checks this information and selects the desired facility. Specifically, the user scrolls through the recommendation results and clicks the reservation button.

[0290] Step 6:

[0291] When the user selects a desired facility and presses the reservation button, the terminal sends this reservation request to the server, which includes the desired facility information and the user's identification information as input.

[0292] Step 7:

[0293] The server receives the user's reservation request and sends it to the selected facility service, often in the form of an API request. The data sent includes the facility reservation information and the user's identification information. The output is a confirmed reservation from the facility service.

[0294] Step 8:

[0295] The server receives reservation confirmation information from the facility service and notifies the user's device. The notification includes information about the successful reservation, the reservation date and time, and detailed facility information. This reservation information is also automatically added to the user's schedule and synchronized with the calendar app. Once the user receives the reservation confirmation notification, they can complete their reservation at the most suitable facility.

[0296] (Application example 2)

[0297] 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."

[0298] Conventional systems cannot take into account the user's emotional state when reserving a satellite office or food delivery, and may not be able to make the best choice for the user. Therefore, there is a need for a system that can recommend more appropriate offices, restaurants, and menus based on the user's emotions.

[0299] 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.

[0300] In this invention, the server includes means for selecting the optimal satellite office, restaurant, and menu based on the user's input information and emotional state data, means for the terminal to display the recommendation results from the server, and means for the user to make a reservation from among the displayed satellite offices and restaurants. This makes it possible to recommend the optimal satellite office, restaurant, and menu based on the user's emotional state.

[0301] "User" refers to an individual or corporation that uses the system to make reservations for satellite offices or restaurants.

[0302] "Schedule" refers to current and future plans and action plans entered by the user.

[0303] "Emotional state" refers to information that indicates the user's current psychological and emotional state, including states such as stress, anxiety, joy, and concentration.

[0304] "Server" refers to the central system that processes user input information and data obtained from external services to generate optimal selection results.

[0305] A "satellite office" is an office space for remote work that users can use temporarily, and includes location information and facility information.

[0306] "Restaurant" refers to the eating and drinking establishment selected by a user to order food.

[0307] "Menu" means the list of food and drinks offered by a Restaurant.

[0308] "Recommendation result" refers to the recommendation result of the most suitable satellite office or restaurant and its menu, generated by the server based on the user's input information and emotional state.

[0309] "Reservation Request" refers to a request sent by the server to make a reservation at a satellite office or restaurant selected by a user.

[0310] "Notification" refers to the process of sending the reservation results to the user's terminal to notify them.

[0311] "Map Service" refers to an external geographic information service used to calculate transportation options and travel times.

[0312] "Scoring" refers to the process of evaluating the suitability of satellite offices or restaurants based on the user's requirements and emotional state.

[0313] MODE FOR CARRYING OUT THE INVENTION

[0314] The present invention relates to a system for recommending satellite offices, restaurants, and menus based on a user's emotional state, which can provide a user with a comfortable and effective working and dining environment.

[0315] System configuration

[0316] The system consists of the following main components:

[0317] 1. User terminal: A device used by the user, such as a smartphone or PC, on which schedules and emotional states are entered and recommendation results are displayed.

[0318] 2. Server: Processes user input data and data obtained from each service, and recommends the most suitable satellite office or restaurant and menu.

[0319] 3. Emotion engine: Recognizes the user's emotional state using the camera, microphone, and text input, and converts it into data.

[0320] 4. External API: Connect to external systems to obtain map services, satellite office services, and restaurant data.

[0321] Implementation details

[0322] 1. Input the user's schedule and emotional state:

[0323] Users input their schedule for the day, their next destination, and the type of seat they would like to sit in through a smartphone or PC application, while the emotion engine automatically recognizes or inputs their current emotional state.

[0324] 2. Server Data Collection and Analysis:

[0325] The server collects and consolidates the following data:

[0326] Satellite office availability, location information, and facility information

[0327] Transportation information to your next destination (using map services)

[0328] The user's emotional state

[0329] Based on this collected data, an algorithm is run to select the most suitable satellite office, restaurant, and menu. For example, if a user is feeling stressed, an office that offers a relaxing environment or a menu using ingredients that have a relaxing effect will be recommended.

[0330] 3. Displaying recommendation results:

[0331] The device displays the recommendation results (offices, restaurants, menus) selected by the server to the user, including maps, addresses, access methods, travel time, seating types, facility information, and the reason for the recommendation based on the user's emotional state.

[0332] 4. Confirmation of reservation:

[0333] When a user selects the desired office or restaurant and presses the "reserve" button, the server sends a reservation request to the selected location and notifies the user of the results. The results are then automatically added to the user's schedule and synchronized with the calendar app.

[0334] Specific examples

[0335] For example, consider the case where a user inputs "10:00–11:00, visit a client at Station A" and "14:00–15:00, meeting at Station B," selects Station B as the next destination, selects a private office as the desired seating type, and lists their current emotional state as "stressed." The server retrieves the availability of satellite offices around Station A and Station B and uses a map service to obtain the travel time from Station A to Station B. Based on this information, the server determines that a satellite office located a five-minute walk away is optimal and recommends it as an office with a relaxing environment (e.g., a private office, quiet area). When the user selects this office and presses the "Book" button, the server sends a reservation request to the location and notifies the user once the reservation is confirmed. In this way, it is possible to select and reserve the optimal satellite office taking into account the user's emotional state.

[0336] Prompt Sentence Examples

[0337] Enter your current emotional state (e.g., stress, anxiety, joy, focus, etc.) and we'll recommend the best restaurants and menus based on that emotional state.

[0338] The above system and method make it possible to provide the optimal environment and meals for the user's emotional state and specific action plan. This invention can significantly improve the user experience in two key areas: satellite offices and food delivery.

[0339] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[0340] Step 1:

[0341] The user launches the application using a smartphone or PC and inputs their schedule and emotional state.

[0342] Input: Schedule information (e.g., "10:00 - 11:00, visit a customer at Station A" or "14:00 - 15:00, meeting at Station B"), emotional state (e.g., "stress")

[0343] Output: Schedule information and emotional state data are sent from the device to the server.

[0344] Step 2:

[0345] The server receives the user's input information and uses APIs to obtain availability, location information, and facility information from each satellite office service.

[0346] Input: Schedule information, emotional state

[0347] Output: Data on the availability, location and facilities of each satellite office is collected on the server.

[0348] Step 3:

[0349] The server uses a map service to calculate multiple transportation options and travel times to the next destination.

[0350] Input: current location of user, next destination information

[0351] Output: Data on transportation methods such as walking, train, bus, and car, and the travel time required for each method, are collected on the server.

[0352] Step 4:

[0353] The server integrates the user's input information (schedule, emotional state), satellite office availability, location information, and traffic information to select the most suitable satellite office, restaurant, and menu.

[0354] Input: Schedule information, emotional state, satellite office information, traffic information

[0355] Output: Recommendation result data for optimal satellite offices, restaurants, and menus is generated.

[0356] Step 5:

[0357] The server transmits the recommendation results to the user's terminal, which then displays the results to the user.

[0358] Input: Recommendation result data

[0359] Output: Recommended satellite offices, restaurants, and menu information will be displayed on the device.

[0360] Step 6:

[0361] The user selects the desired satellite office or restaurant from the displayed recommendation results and presses the reservation button.

[0362] Input: User's selected office or restaurant information

[0363] Output: A reservation request is sent from the terminal to the server.

[0364] Step 7:

[0365] The server transmits a reservation request to the selected satellite office or restaurant and notifies the user's terminal of the reservation result.

[0366] Input: Reservation Request

[0367] Output: The reservation result is sent to the user's device. This result is automatically added to the user's schedule again and synchronized with the calendar app.

[0368] 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.

[0369] 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.

[0370] 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.

[0371] [Second embodiment]

[0372] FIG. 3 shows an example of the configuration of a data processing system 210 according to the second embodiment.

[0373] 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.

[0374] 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).

[0375] 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.

[0376] 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.

[0377] 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).

[0378] 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.

[0379] 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.

[0380] 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.

[0381] 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.

[0382] 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.

[0383] 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."

[0384] This invention relates to a system that supports efficient selection and reservation of satellite offices. This system provides a series of processes: a user inputs their current schedule, a server obtains availability, location information, and facility information from each satellite office providing service, collects transportation information to the next destination, recommends the most suitable satellite office to the user, and confirms the reservation.

[0385] User operations

[0386] 1. Enter user schedule:

[0387] Users input their schedules using a dedicated application or a web interface. For example, they can enter specific plans such as "10:00-11:00, visit a customer at Station A" or "14:00-15:00, meeting at Station B." They also enter information about their next destination (e.g., Station B) and the type of seating they would like (e.g., private room).

[0388] Server Processing

[0389] 1. Data Collection:

[0390] The server receives the schedule information sent by the user and sends an API request to each satellite office service provider (e.g., Provider A, Provider B, etc.) to obtain the current availability, location information, and facility information of the satellite office.

[0391] 2. Traffic information collection:

[0392] The server uses a map service (e.g., map API) to obtain the transportation method and required time from the current location to the next destination. It collects information on multiple transportation methods such as walking, train, bus, and car, and calculates the required time for each.

[0393] 3. Data synthesis and analysis:

[0394] The server selects the optimal satellite office by integrating the user's schedule, satellite office availability, location information, and traffic information. These data are scored based on specific evaluation criteria (e.g., ease of access, availability of desired seating type, transportation method, and travel time).

[0395] Device operation

[0396] 1. Displaying recommendation results:

[0397] The terminal displays the recommendation results sent from the server to the user, including the name, address, access method, travel time, available seat types and their availability, and facility information of the recommended satellite office.

[0398] 2. Select your reservation:

[0399] The user selects a desired office from the displayed satellite offices and presses the reservation button to make a reservation.

[0400] Server Processing

[0401] 1. Confirmation of reservation:

[0402] The server receives the user's reservation request and sends it to the selected satellite office. If the reservation is successful, the server notifies the user's device of the reservation confirmation information. The reservation information is also automatically added to the user's schedule, and can be linked to a calendar app.

[0403] Specific examples

[0404] For example, consider the case where a user inputs "10:00-11:00, visit a client at Station A" and "14:00-15:00, meeting at Station B," and specifies Station B as the next destination and a private room as the desired seating type. The server obtains the availability of satellite offices around Station A and Station B from providers A and B, and uses a map API to obtain the travel time from Station A to Station B. Based on this, it determines that the satellite office of provider A, which is a five-minute walk away, is optimal and recommends it to the user. When the user selects an office of provider A and presses the reservation button, the server sends a reservation request to provider A, and the user is notified once the reservation is confirmed. In this way, users can use satellite offices efficiently.

[0405] The processing flow will be explained below.

[0406] Step 1:

[0407] The user logs in to a dedicated application or web page and enters their schedule information. For example, they can enter specific plans such as "10:00-11:00, visit a customer at Station A" or "14:00-15:00, meeting at Station B," as well as the next destination and desired seating type (e.g., "private room").

[0408] Step 2:

[0409] The terminal sends the user's input data, including schedule information, next visit destination information, and desired seat type information, to the server.

[0410] Step 3:

[0411] The server receives the user's input information, sends an API request to each satellite office service provider (e.g., Provider A, Provider B, etc.), and obtains the following information:

[0412] Current availability

[0413] Location information (address, nearest station, etc.)

[0414] Facility information (seat type, facilities, etc.)

[0415] Step 4:

[0416] The server uses a map service (e.g., map API) to collect the travel times for multiple modes of transportation (walking, train, bus, car) from the user's location to the next destination.

[0417] Step 5:

[0418] The server combines the user's input data, information obtained from each satellite office, and traffic information to select the most suitable satellite office. The evaluation criteria include:

[0419] Location and ease of access

[0420] Availability of desired seat type

[0421] Time required to reach next destination

[0422] Equipment information

[0423] Step 6:

[0424] The server sends the selection results to the device, which then displays the following recommendations to the user:

[0425] Name and address of recommended satellite office

[0426] Travel time and access to the office

[0427] Available seat types and availability

[0428] Office facilities information

[0429] Step 7:

[0430] The user selects the desired satellite office from the displayed recommendation results and presses the "Reserve" button to make the reservation.

[0431] Step 8:

[0432] The terminal sends a reservation request to the server, which receives the reservation request and sends it to the selected satellite office.

[0433] Step 9:

[0434] The server checks the reservation status, and if the reservation is successful, it notifies the device. At the same time, the reservation information is added to the user's schedule and synchronized with the calendar app.

[0435] Step 10:

[0436] The user receives a confirmation notice displayed on the terminal, confirming that the reservation has been confirmed.

[0437] The above is the specific flow of program processing.

[0438] Example 1

[0439] 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."

[0440] With conventional satellite office reservation systems, users had to browse the websites of multiple providers to find the office they wanted, which was extremely time-consuming and made it difficult to make an efficient selection. Users also had to manually check each provider's availability and facility information, and they also had to take the time to consider the best means of transportation to the destination and the required travel time. This resulted in a lack of efficiency and convenience for users.

[0441] 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.

[0442] In this invention, the server includes a means for a user to input their current schedule, a means for acquiring availability, location information, and facility information from each satellite office provision service, a means for calculating transportation methods and travel times using a map service and collecting transportation information to the next destination, a means for scoring and selecting the optimal satellite office based on the user's schedule, satellite office availability, location information, and transportation information, a means for a terminal to display the recommendation results from the server, a means for the user to make a reservation from among the displayed satellite offices, and a means for sending a reservation request to the selected satellite office and notifying the user's terminal of the reservation result. This allows users to efficiently select and reserve a satellite office. Furthermore, the server integrates and analyzes various data and uses a generative AI model to recommend the satellite office best suited to the user's requirements based on prompt statements, thereby quickly and accurately providing the office best suited to the user's needs.

[0443] "User" means an individual or corporation that uses this system to make reservations for satellite offices.

[0444] "Satellite office provision service" refers to a service provider that provides satellite office availability, location information, facility information, etc.

[0445] "Availability" is information indicating the availability of each seat or space within a satellite office.

[0446] "Location information" is information that indicates the location and geographical conditions of a satellite office.

[0447] "Facility information" is information indicating the facilities and services within the satellite office.

[0448] "Transportation" refers to the means of transportation that the user uses to get to the next destination, such as walking, train, bus, or car.

[0449] "Travel time" refers to the time it takes to reach the next destination using various means of transportation.

[0450] The "next destination" is the location that the user plans to visit next on the schedule.

[0451] "Map Service" means an online service that provides geographic and traffic information.

[0452] "Scoring" is the process of evaluating the conditions of each satellite office and assigning them a score.

[0453] "Recommendation results" are information about satellite offices that the server recommends to the user.

[0454] A "generative AI model" is an algorithm that uses machine learning and artificial intelligence techniques to recommend the optimal satellite office.

[0455] A "prompt" is a text-based command or question that is input to a generative AI model.

[0456] This invention relates to a system that supports efficient selection and reservation of satellite offices. This system provides a series of processes: a user inputs their current schedule, a server obtains availability, location information, and facility information from each satellite office providing service, collects transportation information to the next destination, recommends the most suitable satellite office to the user, and confirms the reservation.

[0457] First, the user enters their schedule using a dedicated application or a web interface (e.g., a smartphone app or web portal). Specifically, they enter an appointment such as "10:00-11:00, visit a customer at Station A" or "14:00-15:00, meeting at Station B," and then select the next destination (e.g., Station B) and the desired seating type (e.g., private room). Then, the user presses the "Submit" button, which sends the input data to the server.

[0458] When the server receives the schedule information sent by the user, it sends an API request to each satellite office service provider to obtain availability, location information, and facility information. For example, this applies to Provider A and Provider B. At this time, the server uses the API of each provider to collect the necessary data.

[0459] Next, the server uses a map service API (e.g., Google Maps API) to obtain the transportation method and travel time from the current location to the next destination. The server collects information on multiple transportation methods, such as walking, train, bus, and car, and calculates the travel time for each. This allows the user to accurately understand the travel time.

[0460] The server then combines the user's schedule, satellite office availability, location information, and transportation information, and scores the optimal satellite office based on this data. The scoring is based on specific evaluation criteria (e.g., ease of access, availability of desired seating type, transportation method and travel time, etc.), and the satellite office with the highest score is selected as the recommendation result. This process uses a generative AI model to provide options that best meet the user's expectations.

[0461] The recommendation results for the selected satellite office are sent to the device (e.g., smartphone, PC). The device displays the recommendation results sent from the server to the user. The displayed information includes the name, address, access method, travel time, available seat types and their availability, and facility information of the recommended satellite office.

[0462] Based on this information, the user selects the desired satellite office and presses the "Reserve" button on their device to proceed with the reservation. When the user presses the "Reserve" button, the information is sent to the server, which then sends a reservation request to the selected satellite office. If the reservation is successful, the server notifies the user's device of the confirmed reservation. This reservation information is also automatically added to the user's schedule and can be linked to a calendar app.

[0463] As a specific example, consider the case where a user inputs "10:00-11:00, visit a customer at Station A" and "14:00-15:00, meeting at Station B," and specifies Station B as the next destination and a private room as the desired seat type. The server obtains the availability of satellite offices around Station A and Station B from Provider A and Provider B, and uses the Google Maps API to obtain the travel time from Station A to Station B. Based on this data, the server scores the optimal satellite office, and for example, determines that the satellite office of Provider A, which is a five-minute walk away, is optimal.

[0464] An example prompt sentence might be fed to a generative AI model in the following form:

[0465] "Please recommend the best satellite office location based on the schedule below."

[0466] User Schedule:

[0467] 10:00 – 11:00, visit customers at Station A

[0468] 14:00 – 15:00, Meeting at Station B

[0469] Next stop: Station B

[0470] Preferred seating type: Private room

[0471] "Select the optimal office based on the availability of satellite offices obtained from each provider and traffic information from a map API, and display the recommendation results."

[0472] The flow of the identification process in the first embodiment will be described with reference to FIG.

[0473] Step 1:

[0474] The user inputs their schedule. The user inputs their plans using a dedicated application or a web interface. For example, they can input plans such as "10:00 - 11:00, visit a customer at Station A" or "14:00 - 15:00, meeting at Station B," and select the next destination (e.g., Station B) and desired seat type (e.g., private room). Once input is complete, the user presses the "Submit" button to send the input data to the server. (Input) User's schedule, next destination, desired seat type. (Output) Input data.

[0475] Step 2:

[0476] The server collects data from each satellite office service. The server receives schedule information sent by the user and sends an API request to each satellite office service. The request includes requests for satellite office availability, location information, and facility information. The necessary data is returned from Provider A, Provider B, etc. (Input) User's schedule information. (Output) Satellite office availability, location information, and facility information.

[0477] Step 3:

[0478] The server uses a map service to collect transportation information. The server uses a map API (e.g., Google Maps API) to obtain the transportation method and travel time from the current location to the next destination (e.g., Station B). It collects information on multiple transportation methods, such as walking, train, bus, and car, and calculates the travel time for each. (Input) Current location, next destination. (Output) Transportation information (method and travel time).

[0479] Step 4:

[0480] The server integrates and analyzes the data. The server integrates the user's schedule, satellite office availability, location information, and traffic information. Based on this data, it scores the satellite offices based on evaluation criteria (e.g., ease of access, availability of desired seat type, means of transportation, and travel time). The satellite office with the highest score is selected. (Input) User input data, satellite office data, traffic information. (Output) Optimal satellite office.

[0481] Step 5:

[0482] The terminal displays the recommendation results. The terminal receives the recommendation results sent from the server and displays them to the user. The displayed information includes the name, address, access method, travel time, available seat types and their availability, facility information, etc. of the recommended satellite office. (Input) Recommendation results from the server. (Output) Display of recommendation results.

[0483] Step 6:

[0484] The user selects a reservation. The user selects the desired office from the displayed satellite offices and presses the "Reserve" button on the terminal. The selection information is sent to the server. (Input) Recommendation result. (Output) Reservation request for the selected satellite office.

[0485] Step 7:

[0486] The server confirms the reservation. The server receives the user's reservation request and sends it to the selected satellite office. If the reservation is successful, the server notifies the user's device of the confirmed reservation information. This reservation information is also automatically added to the user's schedule, and can also be linked to a calendar app. (Input) Reservation request. (Output) Confirmed reservation information, calendar linkage.

[0487] (Application example 1)

[0488] 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."

[0489] Efficiently managing logistics centers and multiple work facilities and optimizing worker schedules and transportation methods is important in many industries. However, with current systems, it is extremely time-consuming and inefficient to individually obtain availability, location, and transportation information for each work facility and then combine this information to select the optimal work facility. This can lead to problems with worker time management and resource waste. The objective of this invention is to solve these problems and provide a system for efficiently and effectively selecting and reserving work facilities.

[0490] 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.

[0491] In this invention, the server includes a means for the user to input the current schedule, a means for the server to acquire availability, location information, and facility information from each work facility provision service, and a means for the server to collect transportation information to the next destination, which makes it possible to efficiently select and reserve the most suitable work facility.

[0492] "Means for users to input their current schedule" refers to an interface or device that allows users to register and input their own plans and tasks into the system.

[0493] "Means for the server to obtain availability, location information, and equipment information from each work facility provision service" refers to a process or device by which the server automatically collects information on the current availability status, location information, and equipment provided from each work facility provision service.

[0494] The "means by which the server collects transportation information to the next destination" refers to a process or device by which the server obtains information about the transportation means and travel time required from the current location to the next destination.

[0495] "Means for the server to select the most suitable work facility based on the user's input information and acquired data" refers to a process or device in which the server comprehensively analyzes the collected information on availability, location, equipment, and traffic of work facilities based on the user's schedule and requirements, and selects the most suitable work facility.

[0496] The "means for the terminal to display the recommendation results from the server" refers to an interface or device that allows the terminal to visually present the recommendation results of the optimal work facility sent from the server to the user.

[0497] The "means for the user to make a reservation from among the displayed work facilities" is an interface or device that allows the user to select the desired facility from the multiple work facility options presented and reserve the use of that facility.

[0498] "Means for the server to send a reservation request to the selected work facility and notify the user's terminal of the reservation result" refers to a process or device in which the server sends a reservation request to the work facility based on the user's selection and notifies the user's terminal of the result.

[0499] The system for implementing this invention is designed to improve the efficiency of work schedule management at a logistics center and multiple work facilities. It has the following configuration to support the series of processes in which a user inputs their current schedule, selects the optimal work facility, and confirms the reservation.

[0500] First, a dedicated smartphone application or web interface is provided as a means for users to input their current schedule. Users can input specific plans for themselves and their employees, as well as their next visit destination and desired work conditions (e.g., the need for specific equipment).

[0501] Next, the server obtains availability, location information, and facility information from each work facility provision service. To obtain this information, the server uses the API of each work facility service. For example, it connects with a logistics management system (WMS) or a facility management system to collect the necessary data.

[0502] The server also collects transportation information to the next destination. To obtain this information, a map service API (e.g., Google Maps API) is used. Specifically, the server specifies the desired starting point and destination and obtains information on the transportation method (truck, forklift, etc.) and required time.

[0503] The server selects the optimal work facility based on the schedule information entered by the user and the acquired data. When selecting, it comprehensively evaluates schedule efficiency, transportation convenience, work facility availability, specific equipment conditions, etc., and recommends the most suitable work facility.

[0504] The recommendation results are displayed on the user's device (smartphone application or web interface). The user selects the desired facility from the displayed work facilities and makes a reservation. The server sends this reservation request to the selected work facility and notifies the device of the reservation result. The HTTPS protocol is used for communication to ensure security.

[0505] Through the above process, logistics center managers can efficiently reserve each work facility and optimize work schedules, significantly reducing waste of time and resources.

[0506] Consider the following scenario as a specific example. If a user inputs "08:00-09:00, receiving goods at Warehouse A" and "13:00-14:00, picking at Warehouse B," and specifies Warehouse C as the next destination, the server collects information on the availability and facilities of each warehouse and obtains traffic information between warehouses using the Google Maps API. By combining this information, the server recommends the most suitable facility to the user. After that, a reservation request is sent to the facility selected by the user, and the user is notified of the results. In this way, logistics efficiency can be improved.

[0507] Additionally, examples of prompts for the generative AI model include:

[0508] Example prompt sentence:

[0509] "We would like to develop an application to support the management of a logistics center. Please provide the design and Python code for an application that allows users to input their schedule, and the system will recommend the most suitable warehouse and confirm the reservation. The APIs used will be the logistics provider's warehouse information API and the Google Maps API. (Example scenario: receiving goods at Warehouse A from 08:00-09:00, picking at Warehouse B from 13:00-14:00, next visit to Warehouse C)"

[0510] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[0511] Step 1:

[0512] The user inputs their current schedule. Using a dedicated smartphone application or web interface, the user inputs their own and their employees' specific schedules (e.g., "08:00-09:00, receiving goods at Warehouse A" and "13:00-14:00, picking at Warehouse B"), as well as the next destination and desired work conditions. The input information is sent to the server.

[0513] Input: User-entered schedule and working conditions

[0514] Output: Schedule information is saved on the server

[0515] Step 2:

[0516] The server obtains availability, location information, and facility information from each work facility provision service. The server collects information on each work facility through the API of the logistics management system (WMS) and facility management system. The obtained information is stored in a database.

[0517] Input: A specific API endpoint

[0518] Output: The availability, location and equipment information of each work facility is collected and stored in a database.

[0519] Step 3:

[0520] The server collects transportation information to the next destination. The server uses a map service API (e.g., Google Maps API) to obtain the transportation method and travel time from the user's current location to the next destination. This information is also stored in the database.

[0521] Input: Current location and next destination information

[0522] Output: Information on transportation modes and travel times is collected and stored in a database.

[0523] Step 4:

[0524] The server selects the optimal work facility based on the information entered by the user and the collected data. It comprehensively evaluates the user's schedule, availability of each work facility, location information, equipment information, and transportation information, and scores the optimal work facility. The work facility with the highest score is selected.

[0525] Input: User schedule, information on each work facility, traffic information

[0526] Output: Recommendation of optimal work facilities

[0527] Step 5:

[0528] The terminal displays the recommendation results from the server. The user's terminal (smartphone application or web interface) visually presents the recommendation results sent from the server to the user.

[0529] Input: Recommendation results from the server

[0530] Output: Recommendation results displayed on the device

[0531] Step 6:

[0532] The user makes a reservation from among the displayed work facilities. The user selects the desired facility from the multiple work facility options presented and performs the operation to reserve the use of that facility. The reservation request is sent to the server.

[0533] Input: User-selected work facility information

[0534] Output: Booking request sent to the server

[0535] Step 7:

[0536] The server sends a reservation request to the selected work facility and notifies the user's terminal of the reservation result. The server sends the user's reservation request to a specific work facility, obtains the result, and notifies the user's terminal. The reservation confirmation information is also saved in the database.

[0537] Input: User's booking request

[0538] Output: Confirmed reservation information from the work facility and notification to the user

[0539] 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.

[0540] This invention relates to a system that recommends optimal satellite offices based on a user's emotional state by combining an emotion engine that recognizes the user's emotions with an existing efficient satellite office selection and reservation system. This system provides a more comfortable and efficient work environment for users by adding an emotion engine to the series of processes that include user schedule input, data collection and analysis by the server, display of recommendation results on the terminal, and reservation confirmation.

[0541] User operations

[0542] 1. Enter user schedule:

[0543] Users input their schedule information using a dedicated application or a web interface. For example, they can enter specific plans such as "10:00-11:00, visit a customer at Station A" or "14:00-15:00, meeting at Station B." They also enter information about their next destination (e.g., Station B) and the type of seating they would like (e.g., private room).

[0544] 2. Input the user's emotional state:

[0545] Through the same interface, users input their emotional state (e.g., stress, anxiety, joy, concentration, etc.), which is captured through text input or automatic recognition by the emotion engine (e.g., face recognition using a camera).

[0546] Server Processing

[0547] 1. Data Collection:

[0548] The server receives the schedule information and emotional state sent by the user, sends an API request to each satellite office service, and obtains the current availability, location information, and facility information of the satellite office.

[0549] 2. Traffic information collection:

[0550] The server uses a map service to collect information on the means of transportation from the user's current location to the next destination and the required travel time. It collects information on multiple means of transportation, such as walking, train, bus, and car, and calculates the required travel time for each.

[0551] 3. Data synthesis and analysis:

[0552] The server combines the user's input information (schedule, emotional state), satellite office availability, location information, and transportation information to select the optimal satellite office. Evaluation criteria include ease of access, availability of the desired seating type, transportation method and travel time, facility information, and the user's emotional state. For example, if a user is feeling stressed, the server will recommend an office with a relaxing environment.

[0553] Device operation

[0554] 1. Displaying recommendation results:

[0555] The device displays the recommendation results sent from the server to the user, including the name, address, access method, travel time, available seating types and their availability, facility information, and the reason for the recommendation based on the user's emotional state.

[0556] 2. Select your reservation:

[0557] The user selects the desired satellite office from the displayed recommendation results and presses the reservation button to make a reservation.

[0558] Server Processing

[0559] 1. Confirmation of reservation:

[0560] The server receives the user's reservation request and sends it to the selected satellite office. If the reservation is successful, the server notifies the user's device of the reservation confirmation. Again, the reservation information is automatically added to the user's schedule and synchronized with the calendar app.

[0561] Specific examples

[0562] For example, consider the case where a user inputs "10:00–11:00, visit a client at Station A" and "14:00–15:00, meeting at Station B," selects Station B as the next destination, selects a private room as the desired seating type, and lists their current emotional state as "stressed." The server obtains the availability of satellite offices near Stations A and B from Providers A and B, and uses a map service to obtain the travel time from Station A to Station B. Based on this information, the server determines that Provider A's satellite office, located a five-minute walk away, is optimal and recommends it as an office with a relaxing environment (e.g., a private room and a quiet area). When the user selects this office and presses the "Book" button, the server sends a reservation request to Provider A and notifies the user once the reservation is confirmed. In this way, it is possible to select and reserve the optimal satellite office taking into account the user's emotional state.

[0563] The processing flow will be explained below.

[0564] Step 1:

[0565] The user logs in to a dedicated application or web page and enters their schedule information. For example, they can enter specific plans such as "10:00-11:00, visit a customer at Station A" or "14:00-15:00, meeting at Station B," as well as the next destination and desired seating type (e.g., "private room").

[0566] Step 2:

[0567] Through the same interface, users input their emotional state, which can be obtained through text input or automatic recognition by the emotion engine (e.g., face recognition using a camera).

[0568] Step 3:

[0569] The terminal transmits input data (schedule information and emotional state) from the user to the server.

[0570] Step 4:

[0571] The server receives the schedule information and emotional state sent by the user, sends an API request to each satellite office service (e.g., provider A, provider B, etc.), and obtains the following information:

[0572] Current availability

[0573] Location information (address, nearest station, etc.)

[0574] Facility information (seat type, facilities, etc.)

[0575] Step 5:

[0576] The server uses a map service (e.g., map API) to collect the travel times required for multiple means of transportation (walking, train, bus, car) from the user's current location to the next destination.

[0577] Step 6:

[0578] The server aggregates all the data and selects the best satellite office for the user, rating and scoring it based on the following criteria:

[0579] Location and ease of access

[0580] Availability of desired seat type

[0581] Time required to reach next destination

[0582] Equipment information

[0583] The user's emotional state (e.g., a stressed user may prefer an office with a relaxing environment)

[0584] Step 7:

[0585] The server sends the selection results to the device, which then displays the following detailed recommendations to the user:

[0586] Name, address, access method, and travel time of the recommended satellite office

[0587] Available seat types and availability

[0588] Office facilities information

[0589] Recommendation reasons based on user's emotional state

[0590] Step 8:

[0591] The user selects the desired satellite office from the displayed recommendation results and presses the "Reserve" button to make the reservation.

[0592] Step 9:

[0593] The terminal sends a reservation request to the server, which receives the reservation request and sends it to the selected satellite office.

[0594] Step 10:

[0595] The server checks the reservation status, and if the reservation is successful, it notifies the device. In addition, the reservation information is automatically added to the user's schedule and synchronized with the calendar app.

[0596] Step 11:

[0597] The user receives the confirmation notice displayed on the terminal, confirms that the reservation has been confirmed, and prepares for the next visit.

[0598] The above are the specific processing steps of the present invention in which an emotion engine is combined.

[0599] Example 2

[0600] 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."

[0601] Conventional satellite office reservation systems recommend optimal offices based on the user's schedule, office availability, and location information, but they are unable to consider the user's emotional state. This makes it difficult to provide optimal offices when the user is feeling stressed or seeking a relaxing environment. Furthermore, recommendations that take into account transportation information and ease of access are lacking.

[0602] The specific processing by the specific processing unit 290 of the data processing device 12 in the second embodiment is realized by the following means.

[0603] In this invention, the server includes means for the user to input the current schedule, means for the user to input an emotional state, means for acquiring availability, location information, and equipment information from each facility providing service, means for collecting transportation information to the next destination, means for selecting the most suitable facility based on the user's input information, emotional state, and acquired data, means for displaying the recommendation results from the server on the terminal, means for the user to make a reservation from among the displayed facilities, and means for sending a reservation request to the selected facility and notifying the user's terminal of the reservation result. This makes it possible to select the most suitable facility based on transportation information, taking into account the user's emotional state, and confirm the reservation.

[0604] "Schedule" is information indicating the user's plans and plans.

[0605] "Emotional state" is information that indicates the user's current psychological state or mood.

[0606] "Facility provision services" refers to service providers that provide facilities such as satellite offices and coworking spaces.

[0607] "Availability" is information indicating whether a facility is currently available.

[0608] "Location information" is information about the location of a facility.

[0609] "Facility information" refers to information about various facilities and services within the facility.

[0610] "Transportation information" is information relating to the means of transportation and the required time from the user's current location to the destination.

[0611] The "recommendation result" is information about the optimal facility recommended to the user.

[0612] A "reservation request" is a request for a reservation at a facility selected by the user.

[0613] "Reservation result" is information regarding confirmation or rejection of a reservation from the facility service.

[0614] This invention is a system that recommends optimal facilities based on the user's psychological needs by combining existing systems for efficiently selecting and reserving satellite offices and coworking spaces with technology that recognizes the user's emotional state. This system provides a comfortable work environment to the user through a series of processes: the user inputs their schedule, the server collects and analyzes data, and the device displays the recommendation results and confirms the reservation.

[0615] User operations

[0616] Users input their schedule and emotional state using dedicated application software or a web interface. Schedule information includes specific appointments (e.g., "10:00-11:00, visit a customer at Station A" or "14:00-15:00, meeting at Station B") and desired facility information (e.g., "Station B, private room"). Emotional states are acquired through text input or the emotion engine's automatic recognition function (e.g., face recognition technology using a camera).

[0617] Server Processing

[0618] The server receives the schedule information and emotional state sent by the user and sends API requests to each facility service (e.g., Provider A, Provider B, etc.) to obtain availability, location information, and facility information. The server also uses a map service (e.g., Google Maps API) to collect the transportation method and travel time from the user's current location to the next destination. The collected data is integrated with the user's input information and emotional state. The server performs calculations based on this data to select the optimal facility. Evaluation criteria include ease of access, availability of the desired seat type, transportation method and travel time, as well as the user's emotional state. For example, if a user is feeling stressed, the server can recommend a facility with a relaxing environment.

[0619] Device operation

[0620] The device displays the recommendation results sent from the server to the user. The displayed information includes the name, address, access method, travel time, available seating types and their availability, facility information, and the reason for the recommendation based on the user's emotional state. The user selects the desired facility from the displayed recommendation results and presses the "Reserve" button to make a reservation. The server receives the user's reservation request and sends it to the selected facility. If the reservation is successful, the server notifies the user's device of the reservation confirmation. This reservation information is automatically added to the user's schedule and synchronized with the calendar app.

[0621] Specific examples

[0622] For example, consider the case where a user inputs "10:00–11:00, visit a client at Station A" and "14:00–15:00, meeting at Station B," selects Station B as the next destination, selects a private room as the desired seating type, and selects "stressed" as the emotional state. The server obtains the availability of facilities around Station A and Station B from Provider A and Provider B, and uses a map service to obtain the travel time from Station A to Station B. Based on this information, the server determines that a facility from Provider A, located a five-minute walk away, is optimal and recommends it as a facility with a relaxing environment (e.g., a private room, a quiet area). When the user selects this facility and presses the reservation button, the server sends a reservation request to Provider A and notifies the user once the reservation is confirmed. In this way, it is possible to select and reserve the optimal facility taking into account the user's emotional state.

[0623] Example prompts for generative AI models

[0624] "This system allows users to input their schedule and emotional state, and then recommends and reserves the most suitable satellite office. For example, if a user inputs a specific schedule such as '10:00-11:00, visit a client at Station A' and '14:00-15:00, meeting at Station B' and enters their emotional state as 'stressed,' the server will recommend the most suitable office based on the availability and transportation information of each satellite office."

[0625] The flow of the identification process in the second embodiment will be described with reference to FIG.

[0626] Step 1:

[0627] Users input their schedule information and emotional state through a dedicated application or web interface. The input schedule information is in the form of "10:00-11:00, visit a customer at Station A" or "14:00-15:00, meeting at Station B." Emotional states are expressed using keywords such as "stress." Schedule information and emotional states are obtained as input data.

[0628] Step 2:

[0629] The server receives the schedule information and emotional state sent by the user. The server analyzes this data and processes it as needed, such as by converting the format. It then sends an API request to each facility service. The API request includes the satellite office's availability, location information, and facility information. Response data from each facility service is obtained as output.

[0630] Step 3:

[0631] The server calls a map service (e.g., Google Maps API) to collect the transportation method and travel time from the user's current location to the next destination. For example, transportation methods can be walking, train, bus, or car. The travel time for each transportation method is collected as data, and transportation information is obtained as output.

[0632] Step 4:

[0633] The server integrates the user's schedule information, emotional state, facility availability, location information, and traffic information. Based on this integrated data, the server executes a scoring algorithm to select the optimal facility. Evaluation criteria include ease of access, availability of desired seating type, transportation method and travel time, facility information, and the user's emotional state. For example, for a user who is feeling stressed, a facility with a relaxing environment will be assigned a high score. The optimal facility is selected as the output.

[0634] Step 5:

[0635] The device displays the recommendation results sent from the server to the user. The displayed information includes the name, address, access method, travel time, available seating types and their availability, facility information, and the reason for the recommendation based on the user's emotional state. The user checks this information and selects the desired facility. Specifically, the user scrolls through the recommendation results and clicks the reservation button.

[0636] Step 6:

[0637] When the user selects a desired facility and presses the reservation button, the terminal sends this reservation request to the server, which includes the desired facility information and the user's identification information as input.

[0638] Step 7:

[0639] The server receives the user's reservation request and sends it to the selected facility service, often in the form of an API request. The data sent includes the facility reservation information and the user's identification information. The output is a confirmed reservation from the facility service.

[0640] Step 8:

[0641] The server receives reservation confirmation information from the facility service and notifies the user's device. The notification includes information about the successful reservation, the reservation date and time, and detailed facility information. This reservation information is also automatically added to the user's schedule and synchronized with the calendar app. Once the user receives the reservation confirmation notification, they can complete their reservation at the most suitable facility.

[0642] (Application example 2)

[0643] 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."

[0644] Conventional systems cannot take into account the user's emotional state when reserving a satellite office or food delivery, and may not be able to make the best choice for the user. Therefore, there is a need for a system that can recommend more appropriate offices, restaurants, and menus based on the user's emotions.

[0645] 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.

[0646] In this invention, the server includes means for selecting the optimal satellite office, restaurant, and menu based on the user's input information and emotional state data, means for the terminal to display the recommendation results from the server, and means for the user to make a reservation from among the displayed satellite offices and restaurants. This makes it possible to recommend the optimal satellite office, restaurant, and menu based on the user's emotional state.

[0647] "User" refers to an individual or corporation that uses the system to make reservations for satellite offices or restaurants.

[0648] "Schedule" refers to current and future plans and action plans entered by the user.

[0649] "Emotional state" refers to information that indicates the user's current psychological and emotional state, including states such as stress, anxiety, joy, and concentration.

[0650] "Server" refers to the central system that processes user input information and data obtained from external services to generate optimal selection results.

[0651] A "satellite office" is an office space for remote work that users can use temporarily, and includes location information and facility information.

[0652] "Restaurant" refers to the eating and drinking establishment selected by a user to order food.

[0653] "Menu" means the list of food and drinks offered by a Restaurant.

[0654] "Recommendation result" refers to the recommendation result of the most suitable satellite office or restaurant and its menu, generated by the server based on the user's input information and emotional state.

[0655] "Reservation Request" refers to a request sent by the server to make a reservation at a satellite office or restaurant selected by a user.

[0656] "Notification" refers to the process of sending the reservation results to the user's terminal to notify them.

[0657] "Map Service" refers to an external geographic information service used to calculate transportation options and travel times.

[0658] "Scoring" refers to the process of evaluating the suitability of satellite offices or restaurants based on the user's requirements and emotional state.

[0659] MODE FOR CARRYING OUT THE INVENTION

[0660] The present invention relates to a system for recommending satellite offices, restaurants, and menus based on a user's emotional state, which can provide a user with a comfortable and effective working and dining environment.

[0661] System configuration

[0662] The system consists of the following main components:

[0663] 1. User terminal: A device used by the user, such as a smartphone or PC, on which schedules and emotional states are entered and recommendation results are displayed.

[0664] 2. Server: Processes user input data and data obtained from each service, and recommends the most suitable satellite office or restaurant and menu.

[0665] 3. Emotion engine: Recognizes the user's emotional state using the camera, microphone, and text input, and converts it into data.

[0666] 4. External API: Connect to external systems to obtain map services, satellite office services, and restaurant data.

[0667] Implementation details

[0668] 1. Input the user's schedule and emotional state:

[0669] Users input their schedule for the day, their next destination, and the type of seat they would like to sit in through a smartphone or PC application, while the emotion engine automatically recognizes or inputs their current emotional state.

[0670] 2. Server Data Collection and Analysis:

[0671] The server collects and consolidates the following data:

[0672] Satellite office availability, location information, and facility information

[0673] Transportation information to your next destination (using map services)

[0674] The user's emotional state

[0675] Based on this collected data, an algorithm is run to select the most suitable satellite office, restaurant, and menu. For example, if a user is feeling stressed, an office that offers a relaxing environment or a menu using ingredients that have a relaxing effect will be recommended.

[0676] 3. Displaying recommendation results:

[0677] The device displays the recommendation results (offices, restaurants, menus) selected by the server to the user, including maps, addresses, access methods, travel time, seating types, facility information, and the reason for the recommendation based on the user's emotional state.

[0678] 4. Confirmation of reservation:

[0679] When a user selects the desired office or restaurant and presses the "reserve" button, the server sends a reservation request to the selected location and notifies the user of the results. The results are then automatically added to the user's schedule and synchronized with the calendar app.

[0680] Specific examples

[0681] For example, consider the case where a user inputs "10:00–11:00, visit a client at Station A" and "14:00–15:00, meeting at Station B," selects Station B as the next destination, selects a private office as the desired seating type, and lists their current emotional state as "stressed." The server retrieves the availability of satellite offices around Station A and Station B and uses a map service to obtain the travel time from Station A to Station B. Based on this information, the server determines that a satellite office located a five-minute walk away is optimal and recommends it as an office with a relaxing environment (e.g., a private office, quiet area). When the user selects this office and presses the "Book" button, the server sends a reservation request to the location and notifies the user once the reservation is confirmed. In this way, it is possible to select and reserve the optimal satellite office taking into account the user's emotional state.

[0682] Prompt Sentence Examples

[0683] Enter your current emotional state (e.g., stress, anxiety, joy, focus, etc.) and we'll recommend the best restaurants and menus based on that emotional state.

[0684] The above system and method make it possible to provide the optimal environment and meals for the user's emotional state and specific action plan. This invention can significantly improve the user experience in two key areas: satellite offices and food delivery.

[0685] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[0686] Step 1:

[0687] The user launches the application using a smartphone or PC and inputs their schedule and emotional state.

[0688] Input: Schedule information (e.g., "10:00 - 11:00, visit a customer at Station A" or "14:00 - 15:00, meeting at Station B"), emotional state (e.g., "stress")

[0689] Output: Schedule information and emotional state data are sent from the device to the server.

[0690] Step 2:

[0691] The server receives the user's input information and uses APIs to obtain availability, location information, and facility information from each satellite office service.

[0692] Input: Schedule information, emotional state

[0693] Output: Data on the availability, location and facilities of each satellite office is collected on the server.

[0694] Step 3:

[0695] The server uses a map service to calculate multiple transportation options and travel times to the next destination.

[0696] Input: current location of user, next destination information

[0697] Output: Data on transportation methods such as walking, train, bus, and car, and the travel time required for each method, are collected on the server.

[0698] Step 4:

[0699] The server integrates the user's input information (schedule, emotional state), satellite office availability, location information, and traffic information to select the most suitable satellite office, restaurant, and menu.

[0700] Input: Schedule information, emotional state, satellite office information, traffic information

[0701] Output: Recommendation result data for optimal satellite offices, restaurants, and menus is generated.

[0702] Step 5:

[0703] The server transmits the recommendation results to the user's terminal, which then displays the results to the user.

[0704] Input: Recommendation result data

[0705] Output: Recommended satellite offices, restaurants, and menu information will be displayed on the device.

[0706] Step 6:

[0707] The user selects the desired satellite office or restaurant from the displayed recommendation results and presses the reservation button.

[0708] Input: User's selected office or restaurant information

[0709] Output: A reservation request is sent from the terminal to the server.

[0710] Step 7:

[0711] The server transmits a reservation request to the selected satellite office or restaurant and notifies the user's terminal of the reservation result.

[0712] Input: Reservation Request

[0713] Output: The reservation result is sent to the user's device. This result is automatically added to the user's schedule again and synchronized with the calendar app.

[0714] 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.

[0715] 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.

[0716] 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.

[0717] [Third embodiment]

[0718] FIG. 5 shows an example of the configuration of a data processing system 310 according to the third embodiment.

[0719] 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.

[0720] 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).

[0721] 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.

[0722] 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.

[0723] 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).

[0724] 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.

[0725] 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.

[0726] 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.

[0727] 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.

[0728] 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.

[0729] 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."

[0730] This invention relates to a system that supports efficient selection and reservation of satellite offices. This system provides a series of processes: a user inputs their current schedule, a server obtains availability, location information, and facility information from each satellite office providing service, collects transportation information to the next destination, recommends the most suitable satellite office to the user, and confirms the reservation.

[0731] User operations

[0732] 1. Enter user schedule:

[0733] Users input their schedules using a dedicated application or a web interface. For example, they can enter specific plans such as "10:00-11:00, visit a customer at Station A" or "14:00-15:00, meeting at Station B." They also enter information about their next destination (e.g., Station B) and the type of seating they would like (e.g., private room).

[0734] Server Processing

[0735] 1. Data Collection:

[0736] The server receives the schedule information sent by the user and sends an API request to each satellite office service provider (e.g., Provider A, Provider B, etc.) to obtain the current availability, location information, and facility information of the satellite office.

[0737] 2. Traffic information collection:

[0738] The server uses a map service (e.g., map API) to obtain the transportation method and required time from the current location to the next destination. It collects information on multiple transportation methods such as walking, train, bus, and car, and calculates the required time for each.

[0739] 3. Data synthesis and analysis:

[0740] The server selects the optimal satellite office by integrating the user's schedule, satellite office availability, location information, and traffic information. These data are scored based on specific evaluation criteria (e.g., ease of access, availability of desired seating type, transportation method, and travel time).

[0741] Device operation

[0742] 1. Displaying recommendation results:

[0743] The terminal displays the recommendation results sent from the server to the user, including the name, address, access method, travel time, available seat types and their availability, and facility information of the recommended satellite office.

[0744] 2. Select your reservation:

[0745] The user selects a desired office from the displayed satellite offices and presses the reservation button to make a reservation.

[0746] Server Processing

[0747] 1. Confirmation of reservation:

[0748] The server receives the user's reservation request and sends it to the selected satellite office. If the reservation is successful, the server notifies the user's device of the reservation confirmation information. The reservation information is also automatically added to the user's schedule, and can be linked to a calendar app.

[0749] Specific examples

[0750] For example, consider the case where a user inputs "10:00-11:00, visit a client at Station A" and "14:00-15:00, meeting at Station B," and specifies Station B as the next destination and a private room as the desired seating type. The server obtains the availability of satellite offices around Station A and Station B from providers A and B, and uses a map API to obtain the travel time from Station A to Station B. Based on this, it determines that the satellite office of provider A, which is a five-minute walk away, is optimal and recommends it to the user. When the user selects an office of provider A and presses the reservation button, the server sends a reservation request to provider A, and the user is notified once the reservation is confirmed. In this way, users can use satellite offices efficiently.

[0751] The processing flow will be explained below.

[0752] Step 1:

[0753] The user logs in to a dedicated application or web page and enters their schedule information. For example, they can enter specific plans such as "10:00-11:00, visit a customer at Station A" or "14:00-15:00, meeting at Station B," as well as the next destination and desired seating type (e.g., "private room").

[0754] Step 2:

[0755] The terminal sends the user's input data, including schedule information, next visit destination information, and desired seat type information, to the server.

[0756] Step 3:

[0757] The server receives the user's input information, sends an API request to each satellite office service provider (e.g., Provider A, Provider B, etc.), and obtains the following information:

[0758] Current availability

[0759] Location information (address, nearest station, etc.)

[0760] Facility information (seat type, facilities, etc.)

[0761] Step 4:

[0762] The server uses a map service (e.g., map API) to collect the travel times for multiple modes of transportation (walking, train, bus, car) from the user's location to the next destination.

[0763] Step 5:

[0764] The server combines the user's input data, information obtained from each satellite office, and traffic information to select the most suitable satellite office. The evaluation criteria include:

[0765] Location and ease of access

[0766] Availability of desired seat type

[0767] Time required to reach next destination

[0768] Equipment information

[0769] Step 6:

[0770] The server sends the selection results to the device, which then displays the following recommendations to the user:

[0771] Name and address of recommended satellite office

[0772] Travel time and access to the office

[0773] Available seat types and availability

[0774] Office facilities information

[0775] Step 7:

[0776] The user selects the desired satellite office from the displayed recommendation results and presses the "Reserve" button to make the reservation.

[0777] Step 8:

[0778] The terminal sends a reservation request to the server, which receives the reservation request and sends it to the selected satellite office.

[0779] Step 9:

[0780] The server checks the reservation status, and if the reservation is successful, it notifies the device. At the same time, the reservation information is added to the user's schedule and synchronized with the calendar app.

[0781] Step 10:

[0782] The user receives a confirmation notice displayed on the terminal, confirming that the reservation has been confirmed.

[0783] The above is the specific flow of program processing.

[0784] Example 1

[0785] 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."

[0786] With conventional satellite office reservation systems, users had to browse the websites of multiple providers to find the office they wanted, which was extremely time-consuming and made it difficult to make an efficient selection. Users also had to manually check each provider's availability and facility information, and they also had to take the time to consider the best means of transportation to the destination and the required travel time. This resulted in a lack of efficiency and convenience for users.

[0787] 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.

[0788] In this invention, the server includes a means for a user to input their current schedule, a means for acquiring availability, location information, and facility information from each satellite office provision service, a means for calculating transportation methods and travel times using a map service and collecting transportation information to the next destination, a means for scoring and selecting the optimal satellite office based on the user's schedule, satellite office availability, location information, and transportation information, a means for a terminal to display the recommendation results from the server, a means for the user to make a reservation from among the displayed satellite offices, and a means for sending a reservation request to the selected satellite office and notifying the user's terminal of the reservation result. This allows users to efficiently select and reserve a satellite office. Furthermore, the server integrates and analyzes various data and uses a generative AI model to recommend the satellite office best suited to the user's requirements based on prompt statements, thereby quickly and accurately providing the office best suited to the user's needs.

[0789] "User" means an individual or corporation that uses this system to make reservations for satellite offices.

[0790] "Satellite office provision service" refers to a service provider that provides satellite office availability, location information, facility information, etc.

[0791] "Availability" is information indicating the availability of each seat or space within a satellite office.

[0792] "Location information" is information that indicates the location and geographical conditions of a satellite office.

[0793] "Facility information" is information indicating the facilities and services within the satellite office.

[0794] "Transportation" refers to the means of transportation that the user uses to get to the next destination, such as walking, train, bus, or car.

[0795] "Travel time" refers to the time it takes to reach the next destination using various means of transportation.

[0796] The "next destination" is the location that the user plans to visit next on the schedule.

[0797] "Map Service" means an online service that provides geographic and traffic information.

[0798] "Scoring" is the process of evaluating the conditions of each satellite office and assigning them a score.

[0799] "Recommendation results" are information about satellite offices that the server recommends to the user.

[0800] A "generative AI model" is an algorithm that uses machine learning and artificial intelligence techniques to recommend the optimal satellite office.

[0801] A "prompt" is a text-based command or question that is input to a generative AI model.

[0802] This invention relates to a system that supports efficient selection and reservation of satellite offices. This system provides a series of processes: a user inputs their current schedule, a server obtains availability, location information, and facility information from each satellite office providing service, collects transportation information to the next destination, recommends the most suitable satellite office to the user, and confirms the reservation.

[0803] First, the user enters their schedule using a dedicated application or a web interface (e.g., a smartphone app or web portal). Specifically, they enter an appointment such as "10:00-11:00, visit a customer at Station A" or "14:00-15:00, meeting at Station B," and then select the next destination (e.g., Station B) and the desired seating type (e.g., private room). Then, the user presses the "Submit" button, which sends the input data to the server.

[0804] When the server receives the schedule information sent by the user, it sends an API request to each satellite office service provider to obtain availability, location information, and facility information. For example, this applies to Provider A and Provider B. At this time, the server uses the API of each provider to collect the necessary data.

[0805] Next, the server uses a map service API (e.g., Google Maps API) to obtain the transportation method and travel time from the current location to the next destination. The server collects information on multiple transportation methods, such as walking, train, bus, and car, and calculates the travel time for each. This allows the user to accurately understand the travel time.

[0806] The server then combines the user's schedule, satellite office availability, location information, and transportation information, and scores the optimal satellite office based on this data. The scoring is based on specific evaluation criteria (e.g., ease of access, availability of desired seating type, transportation method and travel time, etc.), and the satellite office with the highest score is selected as the recommendation result. This process uses a generative AI model to provide options that best meet the user's expectations.

[0807] The recommendation results for the selected satellite office are sent to the device (e.g., smartphone, PC). The device displays the recommendation results sent from the server to the user. The displayed information includes the name, address, access method, travel time, available seat types and their availability, and facility information of the recommended satellite office.

[0808] Based on this information, the user selects the desired satellite office and presses the "Reserve" button on their device to proceed with the reservation. When the user presses the "Reserve" button, the information is sent to the server, which then sends a reservation request to the selected satellite office. If the reservation is successful, the server notifies the user's device of the confirmed reservation. This reservation information is also automatically added to the user's schedule and can be linked to a calendar app.

[0809] As a specific example, consider the case where a user inputs "10:00-11:00, visit a customer at Station A" and "14:00-15:00, meeting at Station B," and specifies Station B as the next destination and a private room as the desired seat type. The server obtains the availability of satellite offices around Station A and Station B from Provider A and Provider B, and uses the Google Maps API to obtain the travel time from Station A to Station B. Based on this data, the server scores the optimal satellite office, and for example, determines that the satellite office of Provider A, which is a five-minute walk away, is optimal.

[0810] An example prompt sentence might be fed to a generative AI model in the following form:

[0811] "Please recommend the best satellite office location based on the schedule below."

[0812] User Schedule:

[0813] 10:00 – 11:00, visit customers at Station A

[0814] 14:00 – 15:00, Meeting at Station B

[0815] Next stop: Station B

[0816] Preferred seating type: Private room

[0817] "Select the optimal office based on the availability of satellite offices obtained from each provider and traffic information from a map API, and display the recommendation results."

[0818] The flow of the identification process in the first embodiment will be described with reference to FIG.

[0819] Step 1:

[0820] The user inputs their schedule. The user inputs their plans using a dedicated application or a web interface. For example, they can input plans such as "10:00 - 11:00, visit a customer at Station A" or "14:00 - 15:00, meeting at Station B," and select the next destination (e.g., Station B) and desired seat type (e.g., private room). Once input is complete, the user presses the "Submit" button to send the input data to the server. (Input) User's schedule, next destination, desired seat type. (Output) Input data.

[0821] Step 2:

[0822] The server collects data from each satellite office service. The server receives schedule information sent by the user and sends an API request to each satellite office service. The request includes requests for satellite office availability, location information, and facility information. The necessary data is returned from Provider A, Provider B, etc. (Input) User's schedule information. (Output) Satellite office availability, location information, and facility information.

[0823] Step 3:

[0824] The server uses a map service to collect transportation information. The server uses a map API (e.g., Google Maps API) to obtain the transportation method and travel time from the current location to the next destination (e.g., Station B). It collects information on multiple transportation methods, such as walking, train, bus, and car, and calculates the travel time for each. (Input) Current location, next destination. (Output) Transportation information (method and travel time).

[0825] Step 4:

[0826] The server integrates and analyzes the data. The server integrates the user's schedule, satellite office availability, location information, and traffic information. Based on this data, it scores the satellite offices based on evaluation criteria (e.g., ease of access, availability of desired seat type, means of transportation, and travel time). The satellite office with the highest score is selected. (Input) User input data, satellite office data, traffic information. (Output) Optimal satellite office.

[0827] Step 5:

[0828] The terminal displays the recommendation results. The terminal receives the recommendation results sent from the server and displays them to the user. The displayed information includes the name, address, access method, travel time, available seat types and their availability, facility information, etc. of the recommended satellite office. (Input) Recommendation results from the server. (Output) Display of recommendation results.

[0829] Step 6:

[0830] The user selects a reservation. The user selects the desired office from the displayed satellite offices and presses the "Reserve" button on the terminal. The selection information is sent to the server. (Input) Recommendation result. (Output) Reservation request for the selected satellite office.

[0831] Step 7:

[0832] The server confirms the reservation. The server receives the user's reservation request and sends it to the selected satellite office. If the reservation is successful, the server notifies the user's device of the confirmed reservation information. This reservation information is also automatically added to the user's schedule, and can also be linked to a calendar app. (Input) Reservation request. (Output) Confirmed reservation information, calendar linkage.

[0833] (Application example 1)

[0834] 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."

[0835] Efficiently managing logistics centers and multiple work facilities and optimizing worker schedules and transportation methods is important in many industries. However, with current systems, it is extremely time-consuming and inefficient to individually obtain availability, location, and transportation information for each work facility and then combine this information to select the optimal work facility. This can lead to problems with worker time management and resource waste. The objective of this invention is to solve these problems and provide a system for efficiently and effectively selecting and reserving work facilities.

[0836] 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.

[0837] In this invention, the server includes a means for the user to input the current schedule, a means for the server to acquire availability, location information, and facility information from each work facility provision service, and a means for the server to collect transportation information to the next destination, which makes it possible to efficiently select and reserve the most suitable work facility.

[0838] "Means for users to input their current schedule" refers to an interface or device that allows users to register and input their own plans and tasks into the system.

[0839] "Means for the server to obtain availability, location information, and equipment information from each work facility provision service" refers to a process or device by which the server automatically collects information on the current availability status, location information, and equipment provided from each work facility provision service.

[0840] The "means by which the server collects transportation information to the next destination" refers to a process or device by which the server obtains information about the transportation means and travel time required from the current location to the next destination.

[0841] "Means for the server to select the most suitable work facility based on the user's input information and acquired data" refers to a process or device in which the server comprehensively analyzes the collected information on availability, location, equipment, and traffic of work facilities based on the user's schedule and requirements, and selects the most suitable work facility.

[0842] The "means for the terminal to display the recommendation results from the server" refers to an interface or device that allows the terminal to visually present the recommendation results of the optimal work facility sent from the server to the user.

[0843] The "means for the user to make a reservation from among the displayed work facilities" is an interface or device that allows the user to select the desired facility from the multiple work facility options presented and reserve the use of that facility.

[0844] "Means for the server to send a reservation request to the selected work facility and notify the user's terminal of the reservation result" refers to a process or device in which the server sends a reservation request to the work facility based on the user's selection and notifies the user's terminal of the result.

[0845] The system for implementing this invention is designed to improve the efficiency of work schedule management at a logistics center and multiple work facilities. It has the following configuration to support the series of processes in which a user inputs their current schedule, selects the optimal work facility, and confirms the reservation.

[0846] First, a dedicated smartphone application or web interface is provided as a means for users to input their current schedule. Users can input specific plans for themselves and their employees, as well as their next visit destination and desired work conditions (e.g., the need for specific equipment).

[0847] Next, the server obtains availability, location information, and facility information from each work facility provision service. To obtain this information, the server uses the API of each work facility service. For example, it connects with a logistics management system (WMS) or a facility management system to collect the necessary data.

[0848] The server also collects transportation information to the next destination. To obtain this information, a map service API (e.g., Google Maps API) is used. Specifically, the server specifies the desired starting point and destination and obtains information on the transportation method (truck, forklift, etc.) and required time.

[0849] The server selects the optimal work facility based on the schedule information entered by the user and the acquired data. When selecting, it comprehensively evaluates schedule efficiency, transportation convenience, work facility availability, specific equipment conditions, etc., and recommends the most suitable work facility.

[0850] The recommendation results are displayed on the user's device (smartphone application or web interface). The user selects the desired facility from the displayed work facilities and makes a reservation. The server sends this reservation request to the selected work facility and notifies the device of the reservation result. The HTTPS protocol is used for communication to ensure security.

[0851] Through the above process, logistics center managers can efficiently reserve each work facility and optimize work schedules, significantly reducing waste of time and resources.

[0852] Consider the following scenario as a specific example. If a user inputs "08:00-09:00, receiving goods at Warehouse A" and "13:00-14:00, picking at Warehouse B," and specifies Warehouse C as the next destination, the server collects information on the availability and facilities of each warehouse and obtains traffic information between warehouses using the Google Maps API. By combining this information, the server recommends the most suitable facility to the user. After that, a reservation request is sent to the facility selected by the user, and the user is notified of the results. In this way, logistics efficiency can be improved.

[0853] Additionally, examples of prompts for the generative AI model include:

[0854] Example prompt sentence:

[0855] "We would like to develop an application to support the management of a logistics center. Please provide the design and Python code for an application that allows users to input their schedule, and the system will recommend the most suitable warehouse and confirm the reservation. The APIs used will be the logistics provider's warehouse information API and the Google Maps API. (Example scenario: receiving goods at Warehouse A from 08:00-09:00, picking at Warehouse B from 13:00-14:00, next visit to Warehouse C)"

[0856] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[0857] Step 1:

[0858] The user inputs their current schedule. Using a dedicated smartphone application or web interface, the user inputs their own and their employees' specific schedules (e.g., "08:00-09:00, receiving goods at Warehouse A" and "13:00-14:00, picking at Warehouse B"), as well as the next destination and desired work conditions. The input information is sent to the server.

[0859] Input: User-entered schedule and working conditions

[0860] Output: Schedule information is saved on the server

[0861] Step 2:

[0862] The server obtains availability, location information, and facility information from each work facility provision service. The server collects information on each work facility through the API of the logistics management system (WMS) and facility management system. The obtained information is stored in a database.

[0863] Input: A specific API endpoint

[0864] Output: The availability, location and equipment information of each work facility is collected and stored in a database.

[0865] Step 3:

[0866] The server collects transportation information to the next destination. The server uses a map service API (e.g., Google Maps API) to obtain the transportation method and travel time from the user's current location to the next destination. This information is also stored in the database.

[0867] Input: Current location and next destination information

[0868] Output: Information on transportation modes and travel times is collected and stored in a database.

[0869] Step 4:

[0870] The server selects the optimal work facility based on the information entered by the user and the collected data. It comprehensively evaluates the user's schedule, availability of each work facility, location information, equipment information, and transportation information, and scores the optimal work facility. The work facility with the highest score is selected.

[0871] Input: User schedule, information on each work facility, traffic information

[0872] Output: Recommendation of optimal work facilities

[0873] Step 5:

[0874] The terminal displays the recommendation results from the server. The user's terminal (smartphone application or web interface) visually presents the recommendation results sent from the server to the user.

[0875] Input: Recommendation results from the server

[0876] Output: Recommendation results displayed on the device

[0877] Step 6:

[0878] The user makes a reservation from among the displayed work facilities. The user selects the desired facility from the multiple work facility options presented and performs the operation to reserve the use of that facility. The reservation request is sent to the server.

[0879] Input: User-selected work facility information

[0880] Output: Booking request sent to the server

[0881] Step 7:

[0882] The server sends a reservation request to the selected work facility and notifies the user's terminal of the reservation result. The server sends the user's reservation request to a specific work facility, obtains the result, and notifies the user's terminal. The reservation confirmation information is also saved in the database.

[0883] Input: User's booking request

[0884] Output: Confirmed reservation information from the work facility and notification to the user

[0885] 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.

[0886] This invention relates to a system that recommends optimal satellite offices based on a user's emotional state by combining an emotion engine that recognizes the user's emotions with an existing efficient satellite office selection and reservation system. This system provides a more comfortable and efficient work environment for users by adding an emotion engine to the series of processes that include user schedule input, data collection and analysis by the server, display of recommendation results on the terminal, and reservation confirmation.

[0887] User operations

[0888] 1. Enter user schedule:

[0889] Users input their schedule information using a dedicated application or a web interface. For example, they can enter specific plans such as "10:00-11:00, visit a customer at Station A" or "14:00-15:00, meeting at Station B." They also enter information about their next destination (e.g., Station B) and the type of seating they would like (e.g., private room).

[0890] 2. Input the user's emotional state:

[0891] Through the same interface, users input their emotional state (e.g., stress, anxiety, joy, concentration, etc.), which is captured through text input or automatic recognition by the emotion engine (e.g., face recognition using a camera).

[0892] Server Processing

[0893] 1. Data Collection:

[0894] The server receives the schedule information and emotional state sent by the user, sends an API request to each satellite office service, and obtains the current availability, location information, and facility information of the satellite office.

[0895] 2. Traffic information collection:

[0896] The server uses a map service to collect information on the means of transportation from the user's current location to the next destination and the required travel time. It collects information on multiple means of transportation, such as walking, train, bus, and car, and calculates the required travel time for each.

[0897] 3. Data synthesis and analysis:

[0898] The server combines the user's input information (schedule, emotional state), satellite office availability, location information, and transportation information to select the optimal satellite office. Evaluation criteria include ease of access, availability of the desired seating type, transportation method and travel time, facility information, and the user's emotional state. For example, if a user is feeling stressed, the server will recommend an office with a relaxing environment.

[0899] Device operation

[0900] 1. Displaying recommendation results:

[0901] The device displays the recommendation results sent from the server to the user, including the name, address, access method, travel time, available seating types and their availability, facility information, and the reason for the recommendation based on the user's emotional state.

[0902] 2. Select your reservation:

[0903] The user selects the desired satellite office from the displayed recommendation results and presses the reservation button to make a reservation.

[0904] Server Processing

[0905] 1. Confirmation of reservation:

[0906] The server receives the user's reservation request and sends it to the selected satellite office. If the reservation is successful, the server notifies the user's device of the reservation confirmation. Again, the reservation information is automatically added to the user's schedule and synchronized with the calendar app.

[0907] Specific examples

[0908] For example, consider the case where a user inputs "10:00–11:00, visit a client at Station A" and "14:00–15:00, meeting at Station B," selects Station B as the next destination, selects a private room as the desired seating type, and lists their current emotional state as "stressed." The server obtains the availability of satellite offices near Stations A and B from Providers A and B, and uses a map service to obtain the travel time from Station A to Station B. Based on this information, the server determines that Provider A's satellite office, located a five-minute walk away, is optimal and recommends it as an office with a relaxing environment (e.g., a private room and a quiet area). When the user selects this office and presses the "Book" button, the server sends a reservation request to Provider A and notifies the user once the reservation is confirmed. In this way, it is possible to select and reserve the optimal satellite office taking into account the user's emotional state.

[0909] The processing flow will be explained below.

[0910] Step 1:

[0911] The user logs in to a dedicated application or web page and enters their schedule information. For example, they can enter specific plans such as "10:00-11:00, visit a customer at Station A" or "14:00-15:00, meeting at Station B," as well as the next destination and desired seating type (e.g., "private room").

[0912] Step 2:

[0913] Through the same interface, users input their emotional state, which can be obtained through text input or automatic recognition by the emotion engine (e.g., face recognition using a camera).

[0914] Step 3:

[0915] The terminal transmits input data (schedule information and emotional state) from the user to the server.

[0916] Step 4:

[0917] The server receives the schedule information and emotional state sent by the user, sends an API request to each satellite office service (e.g., provider A, provider B, etc.), and obtains the following information:

[0918] Current availability

[0919] Location information (address, nearest station, etc.)

[0920] Facility information (seat type, facilities, etc.)

[0921] Step 5:

[0922] The server uses a map service (e.g., map API) to collect the travel times required for multiple means of transportation (walking, train, bus, car) from the user's current location to the next destination.

[0923] Step 6:

[0924] The server aggregates all the data and selects the best satellite office for the user, rating and scoring it based on the following criteria:

[0925] Location and ease of access

[0926] Availability of desired seat type

[0927] Time required to reach next destination

[0928] Equipment information

[0929] The user's emotional state (e.g., a stressed user may prefer an office with a relaxing environment)

[0930] Step 7:

[0931] The server sends the selection results to the device, which then displays the following detailed recommendations to the user:

[0932] Name, address, access method, and travel time of the recommended satellite office

[0933] Available seat types and availability

[0934] Office facilities information

[0935] Recommendation reasons based on user's emotional state

[0936] Step 8:

[0937] The user selects the desired satellite office from the displayed recommendation results and presses the "Reserve" button to make the reservation.

[0938] Step 9:

[0939] The terminal sends a reservation request to the server, which receives the reservation request and sends it to the selected satellite office.

[0940] Step 10:

[0941] The server checks the reservation status, and if the reservation is successful, it notifies the device. In addition, the reservation information is automatically added to the user's schedule and synchronized with the calendar app.

[0942] Step 11:

[0943] The user receives the confirmation notice displayed on the terminal, confirms that the reservation has been confirmed, and prepares for the next visit.

[0944] The above are the specific processing steps of the present invention in which an emotion engine is combined.

[0945] Example 2

[0946] 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."

[0947] Conventional satellite office reservation systems recommend optimal offices based on the user's schedule, office availability, and location information, but they are unable to consider the user's emotional state. This makes it difficult to provide optimal offices when the user is feeling stressed or seeking a relaxing environment. Furthermore, recommendations that take into account transportation information and ease of access are lacking.

[0948] The specific processing by the specific processing unit 290 of the data processing device 12 in the second embodiment is realized by the following means.

[0949] In this invention, the server includes means for the user to input the current schedule, means for the user to input an emotional state, means for acquiring availability, location information, and equipment information from each facility providing service, means for collecting transportation information to the next destination, means for selecting the most suitable facility based on the user's input information, emotional state, and acquired data, means for displaying the recommendation results from the server on the terminal, means for the user to make a reservation from among the displayed facilities, and means for sending a reservation request to the selected facility and notifying the user's terminal of the reservation result. This makes it possible to select the most suitable facility based on transportation information, taking into account the user's emotional state, and confirm the reservation.

[0950] "Schedule" is information indicating the user's plans and plans.

[0951] "Emotional state" is information that indicates the user's current psychological state or mood.

[0952] "Facility provision services" refers to service providers that provide facilities such as satellite offices and coworking spaces.

[0953] "Availability" is information indicating whether a facility is currently available.

[0954] "Location information" is information about the location of a facility.

[0955] "Facility information" refers to information about various facilities and services within the facility.

[0956] "Transportation information" is information relating to the means of transportation and the required time from the user's current location to the destination.

[0957] The "recommendation result" is information about the optimal facility recommended to the user.

[0958] A "reservation request" is a request for a reservation at a facility selected by the user.

[0959] "Reservation result" is information regarding confirmation or rejection of a reservation from the facility service.

[0960] This invention is a system that recommends optimal facilities based on the user's psychological needs by combining existing systems for efficiently selecting and reserving satellite offices and coworking spaces with technology that recognizes the user's emotional state. This system provides a comfortable work environment to the user through a series of processes: the user inputs their schedule, the server collects and analyzes data, and the device displays the recommendation results and confirms the reservation.

[0961] User operations

[0962] Users input their schedule and emotional state using dedicated application software or a web interface. Schedule information includes specific appointments (e.g., "10:00-11:00, visit a customer at Station A" or "14:00-15:00, meeting at Station B") and desired facility information (e.g., "Station B, private room"). Emotional states are acquired through text input or the emotion engine's automatic recognition function (e.g., face recognition technology using a camera).

[0963] Server Processing

[0964] The server receives the schedule information and emotional state sent by the user and sends API requests to each facility service (e.g., Provider A, Provider B, etc.) to obtain availability, location information, and facility information. The server also uses a map service (e.g., Google Maps API) to collect the transportation method and travel time from the user's current location to the next destination. The collected data is integrated with the user's input information and emotional state. The server performs calculations based on this data to select the optimal facility. Evaluation criteria include ease of access, availability of the desired seat type, transportation method and travel time, as well as the user's emotional state. For example, if a user is feeling stressed, the server can recommend a facility with a relaxing environment.

[0965] Device operation

[0966] The device displays the recommendation results sent from the server to the user. The displayed information includes the name, address, access method, travel time, available seating types and their availability, facility information, and the reason for the recommendation based on the user's emotional state. The user selects the desired facility from the displayed recommendation results and presses the "Reserve" button to make a reservation. The server receives the user's reservation request and sends it to the selected facility. If the reservation is successful, the server notifies the user's device of the reservation confirmation. This reservation information is automatically added to the user's schedule and synchronized with the calendar app.

[0967] Specific examples

[0968] For example, consider the case where a user inputs "10:00–11:00, visit a client at Station A" and "14:00–15:00, meeting at Station B," selects Station B as the next destination, selects a private room as the desired seating type, and selects "stressed" as the emotional state. The server obtains the availability of facilities around Station A and Station B from Provider A and Provider B, and uses a map service to obtain the travel time from Station A to Station B. Based on this information, the server determines that a facility from Provider A, located a five-minute walk away, is optimal and recommends it as a facility with a relaxing environment (e.g., a private room, a quiet area). When the user selects this facility and presses the reservation button, the server sends a reservation request to Provider A and notifies the user once the reservation is confirmed. In this way, it is possible to select and reserve the optimal facility taking into account the user's emotional state.

[0969] Example prompts for generative AI models

[0970] "This system allows users to input their schedule and emotional state, and then recommends and reserves the most suitable satellite office. For example, if a user inputs a specific schedule such as '10:00-11:00, visit a client at Station A' and '14:00-15:00, meeting at Station B' and enters their emotional state as 'stressed,' the server will recommend the most suitable office based on the availability and transportation information of each satellite office."

[0971] The flow of the identification process in the second embodiment will be described with reference to FIG.

[0972] Step 1:

[0973] Users input their schedule information and emotional state through a dedicated application or web interface. The input schedule information is in the form of "10:00-11:00, visit a customer at Station A" or "14:00-15:00, meeting at Station B." Emotional states are expressed using keywords such as "stress." Schedule information and emotional states are obtained as input data.

[0974] Step 2:

[0975] The server receives the schedule information and emotional state sent by the user. The server analyzes this data and processes it as needed, such as by converting the format. It then sends an API request to each facility service. The API request includes the satellite office's availability, location information, and facility information. Response data from each facility service is obtained as output.

[0976] Step 3:

[0977] The server calls a map service (e.g., Google Maps API) to collect the transportation method and travel time from the user's current location to the next destination. For example, transportation methods can be walking, train, bus, or car. The travel time for each transportation method is collected as data, and transportation information is obtained as output.

[0978] Step 4:

[0979] The server integrates the user's schedule information, emotional state, facility availability, location information, and traffic information. Based on this integrated data, the server executes a scoring algorithm to select the optimal facility. Evaluation criteria include ease of access, availability of desired seating type, transportation method and travel time, facility information, and the user's emotional state. For example, for a user who is feeling stressed, a facility with a relaxing environment will be assigned a high score. The optimal facility is selected as the output.

[0980] Step 5:

[0981] The device displays the recommendation results sent from the server to the user. The displayed information includes the name, address, access method, travel time, available seating types and their availability, facility information, and the reason for the recommendation based on the user's emotional state. The user checks this information and selects the desired facility. Specifically, the user scrolls through the recommendation results and clicks the reservation button.

[0982] Step 6:

[0983] When the user selects a desired facility and presses the reservation button, the terminal sends this reservation request to the server, which includes the desired facility information and the user's identification information as input.

[0984] Step 7:

[0985] The server receives the user's reservation request and sends it to the selected facility service, often in the form of an API request. The data sent includes the facility reservation information and the user's identification information. The output is a confirmed reservation from the facility service.

[0986] Step 8:

[0987] The server receives reservation confirmation information from the facility service and notifies the user's device. The notification includes information about the successful reservation, the reservation date and time, and detailed facility information. This reservation information is also automatically added to the user's schedule and synchronized with the calendar app. Once the user receives the reservation confirmation notification, they can complete their reservation at the most suitable facility.

[0988] (Application example 2)

[0989] 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."

[0990] Conventional systems cannot take into account the user's emotional state when reserving a satellite office or food delivery, and may not be able to make the best choice for the user. Therefore, there is a need for a system that can recommend more appropriate offices, restaurants, and menus based on the user's emotions.

[0991] 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.

[0992] In this invention, the server includes means for selecting the optimal satellite office, restaurant, and menu based on the user's input information and emotional state data, means for the terminal to display the recommendation results from the server, and means for the user to make a reservation from among the displayed satellite offices and restaurants. This makes it possible to recommend the optimal satellite office, restaurant, and menu based on the user's emotional state.

[0993] "User" refers to an individual or corporation that uses the system to make reservations for satellite offices or restaurants.

[0994] "Schedule" refers to current and future plans and action plans entered by the user.

[0995] "Emotional state" refers to information that indicates the user's current psychological and emotional state, including states such as stress, anxiety, joy, and concentration.

[0996] "Server" refers to the central system that processes user input information and data obtained from external services to generate optimal selection results.

[0997] A "satellite office" is an office space for remote work that users can use temporarily, and includes location information and facility information.

[0998] "Restaurant" refers to the eating and drinking establishment selected by a user to order food.

[0999] "Menu" means the list of food and drinks offered by a Restaurant.

[1000] "Recommendation result" refers to the recommendation result of the most suitable satellite office or restaurant and its menu, generated by the server based on the user's input information and emotional state.

[1001] "Reservation Request" refers to a request sent by the server to make a reservation at a satellite office or restaurant selected by a user.

[1002] "Notification" refers to the process of sending the reservation results to the user's terminal to notify them.

[1003] "Map Service" refers to an external geographic information service used to calculate transportation options and travel times.

[1004] "Scoring" refers to the process of evaluating the suitability of satellite offices or restaurants based on the user's requirements and emotional state.

[1005] MODE FOR CARRYING OUT THE INVENTION

[1006] The present invention relates to a system for recommending satellite offices, restaurants, and menus based on a user's emotional state, which can provide a user with a comfortable and effective working and dining environment.

[1007] System configuration

[1008] The system consists of the following main components:

[1009] 1. User terminal: A device used by the user, such as a smartphone or PC, on which schedules and emotional states are entered and recommendation results are displayed.

[1010] 2. Server: Processes user input data and data obtained from each service, and recommends the most suitable satellite office or restaurant and menu.

[1011] 3. Emotion engine: Recognizes the user's emotional state using the camera, microphone, and text input, and converts it into data.

[1012] 4. External API: Connect to external systems to obtain map services, satellite office services, and restaurant data.

[1013] Implementation details

[1014] 1. Input the user's schedule and emotional state:

[1015] Users input their schedule for the day, their next destination, and the type of seat they would like to sit in through a smartphone or PC application, while the emotion engine automatically recognizes or inputs their current emotional state.

[1016] 2. Server Data Collection and Analysis:

[1017] The server collects and consolidates the following data:

[1018] Satellite office availability, location information, and facility information

[1019] Transportation information to your next destination (using map services)

[1020] The user's emotional state

[1021] Based on this collected data, an algorithm is run to select the most suitable satellite office, restaurant, and menu. For example, if a user is feeling stressed, an office that offers a relaxing environment or a menu using ingredients that have a relaxing effect will be recommended.

[1022] 3. Displaying recommendation results:

[1023] The device displays the recommendation results (offices, restaurants, menus) selected by the server to the user, including maps, addresses, access methods, travel time, seating types, facility information, and the reason for the recommendation based on the user's emotional state.

[1024] 4. Confirmation of reservation:

[1025] When a user selects the desired office or restaurant and presses the "reserve" button, the server sends a reservation request to the selected location and notifies the user of the results. The results are then automatically added to the user's schedule and synchronized with the calendar app.

[1026] Specific examples

[1027] For example, consider the case where a user inputs "10:00–11:00, visit a client at Station A" and "14:00–15:00, meeting at Station B," selects Station B as the next destination, selects a private office as the desired seating type, and lists their current emotional state as "stressed." The server retrieves the availability of satellite offices around Station A and Station B and uses a map service to obtain the travel time from Station A to Station B. Based on this information, the server determines that a satellite office located a five-minute walk away is optimal and recommends it as an office with a relaxing environment (e.g., a private office, quiet area). When the user selects this office and presses the "Book" button, the server sends a reservation request to the location and notifies the user once the reservation is confirmed. In this way, it is possible to select and reserve the optimal satellite office taking into account the user's emotional state.

[1028] Prompt Sentence Examples

[1029] Enter your current emotional state (e.g., stress, anxiety, joy, focus, etc.) and we'll recommend the best restaurants and menus based on that emotional state.

[1030] The above system and method make it possible to provide the optimal environment and meals for the user's emotional state and specific action plan. This invention can significantly improve the user experience in two key areas: satellite offices and food delivery.

[1031] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[1032] Step 1:

[1033] The user launches the application using a smartphone or PC and inputs their schedule and emotional state.

[1034] Input: Schedule information (e.g., "10:00 - 11:00, visit a customer at Station A" or "14:00 - 15:00, meeting at Station B"), emotional state (e.g., "stress")

[1035] Output: Schedule information and emotional state data are sent from the device to the server.

[1036] Step 2:

[1037] The server receives the user's input information and uses APIs to obtain availability, location information, and facility information from each satellite office service.

[1038] Input: Schedule information, emotional state

[1039] Output: Data on the availability, location and facilities of each satellite office is collected on the server.

[1040] Step 3:

[1041] The server uses a map service to calculate multiple transportation options and travel times to the next destination.

[1042] Input: current location of user, next destination information

[1043] Output: Data on transportation methods such as walking, train, bus, and car, and the travel time required for each method, are collected on the server.

[1044] Step 4:

[1045] The server integrates the user's input information (schedule, emotional state), satellite office availability, location information, and traffic information to select the most suitable satellite office, restaurant, and menu.

[1046] Input: Schedule information, emotional state, satellite office information, traffic information

[1047] Output: Recommendation result data for optimal satellite offices, restaurants, and menus is generated.

[1048] Step 5:

[1049] The server transmits the recommendation results to the user's terminal, which then displays the results to the user.

[1050] Input: Recommendation result data

[1051] Output: Recommended satellite offices, restaurants, and menu information will be displayed on the device.

[1052] Step 6:

[1053] The user selects the desired satellite office or restaurant from the displayed recommendation results and presses the reservation button.

[1054] Input: User's selected office or restaurant information

[1055] Output: A reservation request is sent from the terminal to the server.

[1056] Step 7:

[1057] The server transmits a reservation request to the selected satellite office or restaurant and notifies the user's terminal of the reservation result.

[1058] Input: Reservation Request

[1059] Output: The reservation result is sent to the user's device. This result is automatically added to the user's schedule again and synchronized with the calendar app.

[1060] 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.

[1061] 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.

[1062] 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.

[1063] [Fourth embodiment]

[1064] FIG. 7 shows an example of the configuration of a data processing system 410 according to the fourth embodiment.

[1065] 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.

[1066] 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).

[1067] 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.

[1068] 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.

[1069] 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).

[1070] 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.

[1071] 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.

[1072] 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.

[1073] 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.

[1074] 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.

[1075] 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.

[1076] 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."

[1077] This invention relates to a system that supports efficient selection and reservation of satellite offices. This system provides a series of processes: a user inputs their current schedule, a server obtains availability, location information, and facility information from each satellite office providing service, collects transportation information to the next destination, recommends the most suitable satellite office to the user, and confirms the reservation.

[1078] User operations

[1079] 1. Enter user schedule:

[1080] Users input their schedules using a dedicated application or a web interface. For example, they can enter specific plans such as "10:00-11:00, visit a customer at Station A" or "14:00-15:00, meeting at Station B." They also enter information about their next destination (e.g., Station B) and the type of seating they would like (e.g., private room).

[1081] Server Processing

[1082] 1. Data Collection:

[1083] The server receives the schedule information sent by the user and sends an API request to each satellite office service provider (e.g., Provider A, Provider B, etc.) to obtain the current availability, location information, and facility information of the satellite office.

[1084] 2. Traffic information collection:

[1085] The server uses a map service (e.g., map API) to obtain the transportation method and required time from the current location to the next destination. It collects information on multiple transportation methods such as walking, train, bus, and car, and calculates the required time for each.

[1086] 3. Data synthesis and analysis:

[1087] The server selects the optimal satellite office by integrating the user's schedule, satellite office availability, location information, and traffic information. These data are scored based on specific evaluation criteria (e.g., ease of access, availability of desired seating type, transportation method, and travel time).

[1088] Device operation

[1089] 1. Displaying recommendation results:

[1090] The terminal displays the recommendation results sent from the server to the user, including the name, address, access method, travel time, available seat types and their availability, and facility information of the recommended satellite office.

[1091] 2. Select your reservation:

[1092] The user selects a desired office from the displayed satellite offices and presses the reservation button to make a reservation.

[1093] Server Processing

[1094] 1. Confirmation of reservation:

[1095] The server receives the user's reservation request and sends it to the selected satellite office. If the reservation is successful, the server notifies the user's device of the reservation confirmation information. The reservation information is also automatically added to the user's schedule, and can be linked to a calendar app.

[1096] Specific examples

[1097] For example, consider the case where a user inputs "10:00-11:00, visit a client at Station A" and "14:00-15:00, meeting at Station B," and specifies Station B as the next destination and a private room as the desired seating type. The server obtains the availability of satellite offices around Station A and Station B from providers A and B, and uses a map API to obtain the travel time from Station A to Station B. Based on this, it determines that the satellite office of provider A, which is a five-minute walk away, is optimal and recommends it to the user. When the user selects an office of provider A and presses the reservation button, the server sends a reservation request to provider A, and the user is notified once the reservation is confirmed. In this way, users can use satellite offices efficiently.

[1098] The processing flow will be explained below.

[1099] Step 1:

[1100] The user logs in to a dedicated application or web page and enters their schedule information. For example, they can enter specific plans such as "10:00-11:00, visit a customer at Station A" or "14:00-15:00, meeting at Station B," as well as the next destination and desired seating type (e.g., "private room").

[1101] Step 2:

[1102] The terminal sends the user's input data, including schedule information, next visit destination information, and desired seat type information, to the server.

[1103] Step 3:

[1104] The server receives the user's input information, sends an API request to each satellite office service provider (e.g., Provider A, Provider B, etc.), and obtains the following information:

[1105] Current availability

[1106] Location information (address, nearest station, etc.)

[1107] Facility information (seat type, facilities, etc.)

[1108] Step 4:

[1109] The server uses a map service (e.g., map API) to collect the travel times for multiple modes of transportation (walking, train, bus, car) from the user's location to the next destination.

[1110] Step 5:

[1111] The server combines the user's input data, information obtained from each satellite office, and traffic information to select the most suitable satellite office. The evaluation criteria include:

[1112] Location and ease of access

[1113] Availability of desired seat type

[1114] Time required to reach next destination

[1115] Equipment information

[1116] Step 6:

[1117] The server sends the selection results to the device, which then displays the following recommendations to the user:

[1118] Name and address of recommended satellite office

[1119] Travel time and access to the office

[1120] Available seat types and availability

[1121] Office facilities information

[1122] Step 7:

[1123] The user selects the desired satellite office from the displayed recommendation results and presses the "Reserve" button to make the reservation.

[1124] Step 8:

[1125] The terminal sends a reservation request to the server, which receives the reservation request and sends it to the selected satellite office.

[1126] Step 9:

[1127] The server checks the reservation status, and if the reservation is successful, it notifies the device. At the same time, the reservation information is added to the user's schedule and synchronized with the calendar app.

[1128] Step 10:

[1129] The user receives a confirmation notice displayed on the terminal, confirming that the reservation has been confirmed.

[1130] The above is the specific flow of program processing.

[1131] Example 1

[1132] 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."

[1133] With conventional satellite office reservation systems, users had to browse the websites of multiple providers to find the office they wanted, which was extremely time-consuming and made it difficult to make an efficient selection. Users also had to manually check each provider's availability and facility information, and they also had to take the time to consider the best means of transportation to the destination and the required travel time. This resulted in a lack of efficiency and convenience for users.

[1134] 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.

[1135] In this invention, the server includes a means for a user to input their current schedule, a means for acquiring availability, location information, and facility information from each satellite office provision service, a means for calculating transportation methods and travel times using a map service and collecting transportation information to the next destination, a means for scoring and selecting the optimal satellite office based on the user's schedule, satellite office availability, location information, and transportation information, a means for a terminal to display the recommendation results from the server, a means for the user to make a reservation from among the displayed satellite offices, and a means for sending a reservation request to the selected satellite office and notifying the user's terminal of the reservation result. This allows users to efficiently select and reserve a satellite office. Furthermore, the server integrates and analyzes various data and uses a generative AI model to recommend the satellite office best suited to the user's requirements based on prompt statements, thereby quickly and accurately providing the office best suited to the user's needs.

[1136] "User" means an individual or corporation that uses this system to make reservations for satellite offices.

[1137] "Satellite office provision service" refers to a service provider that provides satellite office availability, location information, facility information, etc.

[1138] "Availability" is information indicating the availability of each seat or space within a satellite office.

[1139] "Location information" is information that indicates the location and geographical conditions of a satellite office.

[1140] "Facility information" is information indicating the facilities and services within the satellite office.

[1141] "Transportation" refers to the means of transportation that the user uses to get to the next destination, such as walking, train, bus, or car.

[1142] "Travel time" refers to the time it takes to reach the next destination using various means of transportation.

[1143] The "next destination" is the location that the user plans to visit next on the schedule.

[1144] "Map Service" means an online service that provides geographic and traffic information.

[1145] "Scoring" is the process of evaluating the conditions of each satellite office and assigning them a score.

[1146] "Recommendation results" are information about satellite offices that the server recommends to the user.

[1147] A "generative AI model" is an algorithm that uses machine learning and artificial intelligence techniques to recommend the optimal satellite office.

[1148] A "prompt" is a text-based command or question that is input to a generative AI model.

[1149] This invention relates to a system that supports efficient selection and reservation of satellite offices. This system provides a series of processes: a user inputs their current schedule, a server obtains availability, location information, and facility information from each satellite office providing service, collects transportation information to the next destination, recommends the most suitable satellite office to the user, and confirms the reservation.

[1150] First, the user enters their schedule using a dedicated application or a web interface (e.g., a smartphone app or web portal). Specifically, they enter an appointment such as "10:00-11:00, visit a customer at Station A" or "14:00-15:00, meeting at Station B," and then select the next destination (e.g., Station B) and the desired seating type (e.g., private room). Then, the user presses the "Submit" button, which sends the input data to the server.

[1151] When the server receives the schedule information sent by the user, it sends an API request to each satellite office service provider to obtain availability, location information, and facility information. For example, this applies to Provider A and Provider B. At this time, the server uses the API of each provider to collect the necessary data.

[1152] Next, the server uses a map service API (e.g., Google Maps API) to obtain the transportation method and travel time from the current location to the next destination. The server collects information on multiple transportation methods, such as walking, train, bus, and car, and calculates the travel time for each. This allows the user to accurately understand the travel time.

[1153] The server then combines the user's schedule, satellite office availability, location information, and transportation information, and scores the optimal satellite office based on this data. The scoring is based on specific evaluation criteria (e.g., ease of access, availability of desired seating type, transportation method and travel time, etc.), and the satellite office with the highest score is selected as the recommendation result. This process uses a generative AI model to provide options that best meet the user's expectations.

[1154] The recommendation results for the selected satellite office are sent to the device (e.g., smartphone, PC). The device displays the recommendation results sent from the server to the user. The displayed information includes the name, address, access method, travel time, available seat types and their availability, and facility information of the recommended satellite office.

[1155] Based on this information, the user selects the desired satellite office and presses the "Reserve" button on their device to proceed with the reservation. When the user presses the "Reserve" button, the information is sent to the server, which then sends a reservation request to the selected satellite office. If the reservation is successful, the server notifies the user's device of the confirmed reservation. This reservation information is also automatically added to the user's schedule and can be linked to a calendar app.

[1156] As a specific example, consider the case where a user inputs "10:00-11:00, visit a customer at Station A" and "14:00-15:00, meeting at Station B," and specifies Station B as the next destination and a private room as the desired seat type. The server obtains the availability of satellite offices around Station A and Station B from Provider A and Provider B, and uses the Google Maps API to obtain the travel time from Station A to Station B. Based on this data, the server scores the optimal satellite office, and for example, determines that the satellite office of Provider A, which is a five-minute walk away, is optimal.

[1157] An example prompt sentence might be fed to a generative AI model in the following form:

[1158] "Please recommend the best satellite office location based on the schedule below."

[1159] User Schedule:

[1160] 10:00 – 11:00, visit customers at Station A

[1161] 14:00 – 15:00, Meeting at Station B

[1162] Next stop: Station B

[1163] Preferred seating type: Private room

[1164] "Select the optimal office based on the availability of satellite offices obtained from each provider and traffic information from a map API, and display the recommendation results."

[1165] The flow of the identification process in the first embodiment will be described with reference to FIG.

[1166] Step 1:

[1167] The user inputs their schedule. The user inputs their plans using a dedicated application or a web interface. For example, they can input plans such as "10:00 - 11:00, visit a customer at Station A" or "14:00 - 15:00, meeting at Station B," and select the next destination (e.g., Station B) and desired seat type (e.g., private room). Once input is complete, the user presses the "Submit" button to send the input data to the server. (Input) User's schedule, next destination, desired seat type. (Output) Input data.

[1168] Step 2:

[1169] The server collects data from each satellite office service. The server receives schedule information sent by the user and sends an API request to each satellite office service. The request includes requests for satellite office availability, location information, and facility information. The necessary data is returned from Provider A, Provider B, etc. (Input) User's schedule information. (Output) Satellite office availability, location information, and facility information.

[1170] Step 3:

[1171] The server uses a map service to collect transportation information. The server uses a map API (e.g., Google Maps API) to obtain the transportation method and travel time from the current location to the next destination (e.g., Station B). It collects information on multiple transportation methods, such as walking, train, bus, and car, and calculates the travel time for each. (Input) Current location, next destination. (Output) Transportation information (method and travel time).

[1172] Step 4:

[1173] The server integrates and analyzes the data. The server integrates the user's schedule, satellite office availability, location information, and traffic information. Based on this data, it scores the satellite offices based on evaluation criteria (e.g., ease of access, availability of desired seat type, means of transportation, and travel time). The satellite office with the highest score is selected. (Input) User input data, satellite office data, traffic information. (Output) Optimal satellite office.

[1174] Step 5:

[1175] The terminal displays the recommendation results. The terminal receives the recommendation results sent from the server and displays them to the user. The displayed information includes the name, address, access method, travel time, available seat types and their availability, facility information, etc. of the recommended satellite office. (Input) Recommendation results from the server. (Output) Display of recommendation results.

[1176] Step 6:

[1177] The user selects a reservation. The user selects the desired office from the displayed satellite offices and presses the "Reserve" button on the terminal. The selection information is sent to the server. (Input) Recommendation result. (Output) Reservation request for the selected satellite office.

[1178] Step 7:

[1179] The server confirms the reservation. The server receives the user's reservation request and sends it to the selected satellite office. If the reservation is successful, the server notifies the user's device of the confirmed reservation information. This reservation information is also automatically added to the user's schedule, and can also be linked to a calendar app. (Input) Reservation request. (Output) Confirmed reservation information, calendar linkage.

[1180] (Application example 1)

[1181] 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."

[1182] Efficiently managing logistics centers and multiple work facilities and optimizing worker schedules and transportation methods is important in many industries. However, with current systems, it is extremely time-consuming and inefficient to individually obtain availability, location, and transportation information for each work facility and then combine this information to select the optimal work facility. This can lead to problems with worker time management and resource waste. The objective of this invention is to solve these problems and provide a system for efficiently and effectively selecting and reserving work facilities.

[1183] 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.

[1184] In this invention, the server includes a means for the user to input the current schedule, a means for the server to acquire availability, location information, and facility information from each work facility provision service, and a means for the server to collect transportation information to the next destination, which makes it possible to efficiently select and reserve the most suitable work facility.

[1185] "Means for users to input their current schedule" refers to an interface or device that allows users to register and input their own plans and tasks into the system.

[1186] "Means for the server to obtain availability, location information, and equipment information from each work facility provision service" refers to a process or device by which the server automatically collects information on the current availability status, location information, and equipment provided from each work facility provision service.

[1187] The "means by which the server collects transportation information to the next destination" refers to a process or device by which the server obtains information about the transportation means and travel time required from the current location to the next destination.

[1188] "Means for the server to select the most suitable work facility based on the user's input information and acquired data" refers to a process or device in which the server comprehensively analyzes the collected information on availability, location, equipment, and traffic of work facilities based on the user's schedule and requirements, and selects the most suitable work facility.

[1189] The "means for the terminal to display the recommendation results from the server" refers to an interface or device that allows the terminal to visually present the recommendation results of the optimal work facility sent from the server to the user.

[1190] The "means for the user to make a reservation from among the displayed work facilities" is an interface or device that allows the user to select the desired facility from the multiple work facility options presented and reserve the use of that facility.

[1191] "Means for the server to send a reservation request to the selected work facility and notify the user's terminal of the reservation result" refers to a process or device in which the server sends a reservation request to the work facility based on the user's selection and notifies the user's terminal of the result.

[1192] The system for implementing this invention is designed to improve the efficiency of work schedule management at a logistics center and multiple work facilities. It has the following configuration to support the series of processes in which a user inputs their current schedule, selects the optimal work facility, and confirms the reservation.

[1193] First, a dedicated smartphone application or web interface is provided as a means for users to input their current schedule. Users can input specific plans for themselves and their employees, as well as their next visit destination and desired work conditions (e.g., the need for specific equipment).

[1194] Next, the server obtains availability, location information, and facility information from each work facility provision service. To obtain this information, the server uses the API of each work facility service. For example, it connects with a logistics management system (WMS) or a facility management system to collect the necessary data.

[1195] The server also collects transportation information to the next destination. To obtain this information, a map service API (e.g., Google Maps API) is used. Specifically, the server specifies the desired starting point and destination and obtains information on the transportation method (truck, forklift, etc.) and required time.

[1196] The server selects the optimal work facility based on the schedule information entered by the user and the acquired data. When selecting, it comprehensively evaluates schedule efficiency, transportation convenience, work facility availability, specific equipment conditions, etc., and recommends the most suitable work facility.

[1197] The recommendation results are displayed on the user's device (smartphone application or web interface). The user selects the desired facility from the displayed work facilities and makes a reservation. The server sends this reservation request to the selected work facility and notifies the device of the reservation result. The HTTPS protocol is used for communication to ensure security.

[1198] Through the above process, logistics center managers can efficiently reserve each work facility and optimize work schedules, significantly reducing waste of time and resources.

[1199] Consider the following scenario as a specific example. If a user inputs "08:00-09:00, receiving goods at Warehouse A" and "13:00-14:00, picking at Warehouse B," and specifies Warehouse C as the next destination, the server collects information on the availability and facilities of each warehouse and obtains traffic information between warehouses using the Google Maps API. By combining this information, the server recommends the most suitable facility to the user. After that, a reservation request is sent to the facility selected by the user, and the user is notified of the results. In this way, logistics efficiency can be improved.

[1200] Additionally, examples of prompts for the generative AI model include:

[1201] Example prompt sentence:

[1202] "We would like to develop an application to support the management of a logistics center. Please provide the design and Python code for an application that allows users to input their schedule, and the system will recommend the most suitable warehouse and confirm the reservation. The APIs used will be the logistics provider's warehouse information API and the Google Maps API. (Example scenario: receiving goods at Warehouse A from 08:00-09:00, picking at Warehouse B from 13:00-14:00, next visit to Warehouse C)"

[1203] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[1204] Step 1:

[1205] The user inputs their current schedule. Using a dedicated smartphone application or web interface, the user inputs their own and their employees' specific schedules (e.g., "08:00-09:00, receiving goods at Warehouse A" and "13:00-14:00, picking at Warehouse B"), as well as the next destination and desired work conditions. The input information is sent to the server.

[1206] Input: User-entered schedule and working conditions

[1207] Output: Schedule information is saved on the server

[1208] Step 2:

[1209] The server obtains availability, location information, and facility information from each work facility provision service. The server collects information on each work facility through the API of the logistics management system (WMS) and facility management system. The obtained information is stored in a database.

[1210] Input: A specific API endpoint

[1211] Output: The availability, location and equipment information of each work facility is collected and stored in a database.

[1212] Step 3:

[1213] The server collects transportation information to the next destination. The server uses a map service API (e.g., Google Maps API) to obtain the transportation method and travel time from the user's current location to the next destination. This information is also stored in the database.

[1214] Input: Current location and next destination information

[1215] Output: Information on transportation modes and travel times is collected and stored in a database.

[1216] Step 4:

[1217] The server selects the optimal work facility based on the information entered by the user and the collected data. It comprehensively evaluates the user's schedule, availability of each work facility, location information, equipment information, and transportation information, and scores the optimal work facility. The work facility with the highest score is selected.

[1218] Input: User schedule, information on each work facility, traffic information

[1219] Output: Recommendation of optimal work facilities

[1220] Step 5:

[1221] The terminal displays the recommendation results from the server. The user's terminal (smartphone application or web interface) visually presents the recommendation results sent from the server to the user.

[1222] Input: Recommendation results from the server

[1223] Output: Recommendation results displayed on the device

[1224] Step 6:

[1225] The user makes a reservation from among the displayed work facilities. The user selects the desired facility from the multiple work facility options presented and performs the operation to reserve the use of that facility. The reservation request is sent to the server.

[1226] Input: User-selected work facility information

[1227] Output: Booking request sent to the server

[1228] Step 7:

[1229] The server sends a reservation request to the selected work facility and notifies the user's terminal of the reservation result. The server sends the user's reservation request to a specific work facility, obtains the result, and notifies the user's terminal. The reservation confirmation information is also saved in the database.

[1230] Input: User's booking request

[1231] Output: Confirmed reservation information from the work facility and notification to the user

[1232] 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.

[1233] This invention relates to a system that recommends optimal satellite offices based on a user's emotional state by combining an emotion engine that recognizes the user's emotions with an existing efficient satellite office selection and reservation system. This system provides a more comfortable and efficient work environment for users by adding an emotion engine to the series of processes that include user schedule input, data collection and analysis by the server, display of recommendation results on the terminal, and reservation confirmation.

[1234] User operations

[1235] 1. Enter user schedule:

[1236] Users input their schedule information using a dedicated application or a web interface. For example, they can enter specific plans such as "10:00-11:00, visit a customer at Station A" or "14:00-15:00, meeting at Station B." They also enter information about their next destination (e.g., Station B) and the type of seating they would like (e.g., private room).

[1237] 2. Input the user's emotional state:

[1238] Through the same interface, users input their emotional state (e.g., stress, anxiety, joy, concentration, etc.), which is captured through text input or automatic recognition by the emotion engine (e.g., face recognition using a camera).

[1239] Server Processing

[1240] 1. Data Collection:

[1241] The server receives the schedule information and emotional state sent by the user, sends an API request to each satellite office service, and obtains the current availability, location information, and facility information of the satellite office.

[1242] 2. Traffic information collection:

[1243] The server uses a map service to collect information on the means of transportation from the user's current location to the next destination and the required travel time. It collects information on multiple means of transportation, such as walking, train, bus, and car, and calculates the required travel time for each.

[1244] 3. Data synthesis and analysis:

[1245] The server combines the user's input information (schedule, emotional state), satellite office availability, location information, and transportation information to select the optimal satellite office. Evaluation criteria include ease of access, availability of the desired seating type, transportation method and travel time, facility information, and the user's emotional state. For example, if a user is feeling stressed, the server will recommend an office with a relaxing environment.

[1246] Device operation

[1247] 1. Displaying recommendation results:

[1248] The device displays the recommendation results sent from the server to the user, including the name, address, access method, travel time, available seating types and their availability, facility information, and the reason for the recommendation based on the user's emotional state.

[1249] 2. Select your reservation:

[1250] The user selects the desired satellite office from the displayed recommendation results and presses the reservation button to make a reservation.

[1251] Server Processing

[1252] 1. Confirmation of reservation:

[1253] The server receives the user's reservation request and sends it to the selected satellite office. If the reservation is successful, the server notifies the user's device of the reservation confirmation. Again, the reservation information is automatically added to the user's schedule and synchronized with the calendar app.

[1254] Specific examples

[1255] For example, consider the case where a user inputs "10:00–11:00, visit a client at Station A" and "14:00–15:00, meeting at Station B," selects Station B as the next destination, selects a private room as the desired seating type, and lists their current emotional state as "stressed." The server obtains the availability of satellite offices near Stations A and B from Providers A and B, and uses a map service to obtain the travel time from Station A to Station B. Based on this information, the server determines that Provider A's satellite office, located a five-minute walk away, is optimal and recommends it as an office with a relaxing environment (e.g., a private room and a quiet area). When the user selects this office and presses the "Book" button, the server sends a reservation request to Provider A and notifies the user once the reservation is confirmed. In this way, it is possible to select and reserve the optimal satellite office taking into account the user's emotional state.

[1256] The processing flow will be explained below.

[1257] Step 1:

[1258] The user logs in to a dedicated application or web page and enters their schedule information. For example, they can enter specific plans such as "10:00-11:00, visit a customer at Station A" or "14:00-15:00, meeting at Station B," as well as the next destination and desired seating type (e.g., "private room").

[1259] Step 2:

[1260] Through the same interface, users input their emotional state, which can be obtained through text input or automatic recognition by the emotion engine (e.g., face recognition using a camera).

[1261] Step 3:

[1262] The terminal transmits input data (schedule information and emotional state) from the user to the server.

[1263] Step 4:

[1264] The server receives the schedule information and emotional state sent by the user, sends an API request to each satellite office service (e.g., provider A, provider B, etc.), and obtains the following information:

[1265] Current availability

[1266] Location information (address, nearest station, etc.)

[1267] Facility information (seat type, facilities, etc.)

[1268] Step 5:

[1269] The server uses a map service (e.g., map API) to collect the travel times required for multiple means of transportation (walking, train, bus, car) from the user's current location to the next destination.

[1270] Step 6:

[1271] The server aggregates all the data and selects the best satellite office for the user, rating and scoring it based on the following criteria:

[1272] Location and ease of access

[1273] Availability of desired seat type

[1274] Time required to reach next destination

[1275] Equipment information

[1276] The user's emotional state (e.g., a stressed user may prefer an office with a relaxing environment)

[1277] Step 7:

[1278] The server sends the selection results to the device, which then displays the following detailed recommendations to the user:

[1279] Name, address, access method, and travel time of the recommended satellite office

[1280] Available seat types and availability

[1281] Office facilities information

[1282] Recommendation reasons based on user's emotional state

[1283] Step 8:

[1284] The user selects the desired satellite office from the displayed recommendation results and presses the "Reserve" button to make the reservation.

[1285] Step 9:

[1286] The terminal sends a reservation request to the server, which receives the reservation request and sends it to the selected satellite office.

[1287] Step 10:

[1288] The server checks the reservation status, and if the reservation is successful, it notifies the device. In addition, the reservation information is automatically added to the user's schedule and synchronized with the calendar app.

[1289] Step 11:

[1290] The user receives the confirmation notice displayed on the terminal, confirms that the reservation has been confirmed, and prepares for the next visit.

[1291] The above are the specific processing steps of the present invention in which an emotion engine is combined.

[1292] Example 2

[1293] 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."

[1294] Conventional satellite office reservation systems recommend optimal offices based on the user's schedule, office availability, and location information, but they are unable to consider the user's emotional state. This makes it difficult to provide optimal offices when the user is feeling stressed or seeking a relaxing environment. Furthermore, recommendations that take into account transportation information and ease of access are lacking.

[1295] The specific processing by the specific processing unit 290 of the data processing device 12 in the second embodiment is realized by the following means.

[1296] In this invention, the server includes means for the user to input the current schedule, means for the user to input an emotional state, means for acquiring availability, location information, and equipment information from each facility providing service, means for collecting transportation information to the next destination, means for selecting the most suitable facility based on the user's input information, emotional state, and acquired data, means for displaying the recommendation results from the server on the terminal, means for the user to make a reservation from among the displayed facilities, and means for sending a reservation request to the selected facility and notifying the user's terminal of the reservation result. This makes it possible to select the most suitable facility based on transportation information, taking into account the user's emotional state, and confirm the reservation.

[1297] "Schedule" is information indicating the user's plans and plans.

[1298] "Emotional state" is information that indicates the user's current psychological state or mood.

[1299] "Facility provision services" refers to service providers that provide facilities such as satellite offices and coworking spaces.

[1300] "Availability" is information indicating whether a facility is currently available.

[1301] "Location information" is information about the location of a facility.

[1302] "Facility information" refers to information about various facilities and services within the facility.

[1303] "Transportation information" is information relating to the means of transportation and the required time from the user's current location to the destination.

[1304] The "recommendation result" is information about the optimal facility recommended to the user.

[1305] A "reservation request" is a request for a reservation at a facility selected by the user.

[1306] "Reservation result" is information regarding confirmation or rejection of a reservation from the facility service.

[1307] This invention is a system that recommends optimal facilities based on the user's psychological needs by combining existing systems for efficiently selecting and reserving satellite offices and coworking spaces with technology that recognizes the user's emotional state. This system provides a comfortable work environment to the user through a series of processes: the user inputs their schedule, the server collects and analyzes data, and the device displays the recommendation results and confirms the reservation.

[1308] User operations

[1309] Users input their schedule and emotional state using dedicated application software or a web interface. Schedule information includes specific appointments (e.g., "10:00-11:00, visit a customer at Station A" or "14:00-15:00, meeting at Station B") and desired facility information (e.g., "Station B, private room"). Emotional states are acquired through text input or the emotion engine's automatic recognition function (e.g., face recognition technology using a camera).

[1310] Server Processing

[1311] The server receives the schedule information and emotional state sent by the user and sends API requests to each facility service (e.g., Provider A, Provider B, etc.) to obtain availability, location information, and facility information. The server also uses a map service (e.g., Google Maps API) to collect the transportation method and travel time from the user's current location to the next destination. The collected data is integrated with the user's input information and emotional state. The server performs calculations based on this data to select the optimal facility. Evaluation criteria include ease of access, availability of the desired seat type, transportation method and travel time, as well as the user's emotional state. For example, if a user is feeling stressed, the server can recommend a facility with a relaxing environment.

[1312] Device operation

[1313] The device displays the recommendation results sent from the server to the user. The displayed information includes the name, address, access method, travel time, available seating types and their availability, facility information, and the reason for the recommendation based on the user's emotional state. The user selects the desired facility from the displayed recommendation results and presses the "Reserve" button to make a reservation. The server receives the user's reservation request and sends it to the selected facility. If the reservation is successful, the server notifies the user's device of the reservation confirmation. This reservation information is automatically added to the user's schedule and synchronized with the calendar app.

[1314] Specific examples

[1315] For example, consider the case where a user inputs "10:00–11:00, visit a client at Station A" and "14:00–15:00, meeting at Station B," selects Station B as the next destination, selects a private room as the desired seating type, and selects "stressed" as the emotional state. The server obtains the availability of facilities around Station A and Station B from Provider A and Provider B, and uses a map service to obtain the travel time from Station A to Station B. Based on this information, the server determines that a facility from Provider A, located a five-minute walk away, is optimal and recommends it as a facility with a relaxing environment (e.g., a private room, a quiet area). When the user selects this facility and presses the reservation button, the server sends a reservation request to Provider A and notifies the user once the reservation is confirmed. In this way, it is possible to select and reserve the optimal facility taking into account the user's emotional state.

[1316] Example prompts for generative AI models

[1317] "This system allows users to input their schedule and emotional state, and then recommends and reserves the most suitable satellite office. For example, if a user inputs a specific schedule such as '10:00-11:00, visit a client at Station A' and '14:00-15:00, meeting at Station B' and enters their emotional state as 'stressed,' the server will recommend the most suitable office based on the availability and transportation information of each satellite office."

[1318] The flow of the identification process in the second embodiment will be described with reference to FIG.

[1319] Step 1:

[1320] Users input their schedule information and emotional state through a dedicated application or web interface. The input schedule information is in the form of "10:00-11:00, visit a customer at Station A" or "14:00-15:00, meeting at Station B." Emotional states are expressed using keywords such as "stress." Schedule information and emotional states are obtained as input data.

[1321] Step 2:

[1322] The server receives the schedule information and emotional state sent by the user. The server analyzes this data and processes it as needed, such as by converting the format. It then sends an API request to each facility service. The API request includes the satellite office's availability, location information, and facility information. Response data from each facility service is obtained as output.

[1323] Step 3:

[1324] The server calls a map service (e.g., Google Maps API) to collect the transportation method and travel time from the user's current location to the next destination. For example, transportation methods can be walking, train, bus, or car. The travel time for each transportation method is collected as data, and transportation information is obtained as output.

[1325] Step 4:

[1326] The server integrates the user's schedule information, emotional state, facility availability, location information, and traffic information. Based on this integrated data, the server executes a scoring algorithm to select the optimal facility. Evaluation criteria include ease of access, availability of desired seating type, transportation method and travel time, facility information, and the user's emotional state. For example, for a user who is feeling stressed, a facility with a relaxing environment will be assigned a high score. The optimal facility is selected as the output.

[1327] Step 5:

[1328] The device displays the recommendation results sent from the server to the user. The displayed information includes the name, address, access method, travel time, available seating types and their availability, facility information, and the reason for the recommendation based on the user's emotional state. The user checks this information and selects the desired facility. Specifically, the user scrolls through the recommendation results and clicks the reservation button.

[1329] Step 6:

[1330] When the user selects a desired facility and presses the reservation button, the terminal sends this reservation request to the server, which includes the desired facility information and the user's identification information as input.

[1331] Step 7:

[1332] The server receives the user's reservation request and sends it to the selected facility service, often in the form of an API request. The data sent includes the facility reservation information and the user's identification information. The output is a confirmed reservation from the facility service.

[1333] Step 8:

[1334] The server receives reservation confirmation information from the facility service and notifies the user's device. The notification includes information about the successful reservation, the reservation date and time, and detailed facility information. This reservation information is also automatically added to the user's schedule and synchronized with the calendar app. Once the user receives the reservation confirmation notification, they can complete their reservation at the most suitable facility.

[1335] (Application example 2)

[1336] 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."

[1337] Conventional systems cannot take into account the user's emotional state when reserving a satellite office or food delivery, and may not be able to make the best choice for the user. Therefore, there is a need for a system that can recommend more appropriate offices, restaurants, and menus based on the user's emotions.

[1338] 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.

[1339] In this invention, the server includes means for selecting the optimal satellite office, restaurant, and menu based on the user's input information and emotional state data, means for the terminal to display the recommendation results from the server, and means for the user to make a reservation from among the displayed satellite offices and restaurants. This makes it possible to recommend the optimal satellite office, restaurant, and menu based on the user's emotional state.

[1340] "User" refers to an individual or corporation that uses the system to make reservations for satellite offices or restaurants.

[1341] "Schedule" refers to current and future plans and action plans entered by the user.

[1342] "Emotional state" refers to information that indicates the user's current psychological and emotional state, including states such as stress, anxiety, joy, and concentration.

[1343] "Server" refers to the central system that processes user input information and data obtained from external services to generate optimal selection results.

[1344] A "satellite office" is an office space for remote work that users can use temporarily, and includes location information and facility information.

[1345] "Restaurant" refers to the eating and drinking establishment selected by a user to order food.

[1346] "Menu" means the list of food and drinks offered by a Restaurant.

[1347] "Recommendation result" refers to the recommendation result of the most suitable satellite office or restaurant and its menu, generated by the server based on the user's input information and emotional state.

[1348] "Reservation Request" refers to a request sent by the server to make a reservation at a satellite office or restaurant selected by a user.

[1349] "Notification" refers to the process of sending the reservation results to the user's terminal to notify them.

[1350] "Map Service" refers to an external geographic information service used to calculate transportation options and travel times.

[1351] "Scoring" refers to the process of evaluating the suitability of satellite offices or restaurants based on the user's requirements and emotional state.

[1352] MODE FOR CARRYING OUT THE INVENTION

[1353] The present invention relates to a system for recommending satellite offices, restaurants, and menus based on a user's emotional state, which can provide a user with a comfortable and effective working and dining environment.

[1354] System configuration

[1355] The system consists of the following main components:

[1356] 1. User terminal: A device used by the user, such as a smartphone or PC, on which schedules and emotional states are entered and recommendation results are displayed.

[1357] 2. Server: Processes user input data and data obtained from each service, and recommends the most suitable satellite office or restaurant and menu.

[1358] 3. Emotion engine: Recognizes the user's emotional state using the camera, microphone, and text input, and converts it into data.

[1359] 4. External API: Connect to external systems to obtain map services, satellite office services, and restaurant data.

[1360] Implementation details

[1361] 1. Input the user's schedule and emotional state:

[1362] Users input their schedule for the day, their next destination, and the type of seat they would like to sit in through a smartphone or PC application, while the emotion engine automatically recognizes or inputs their current emotional state.

[1363] 2. Server Data Collection and Analysis:

[1364] The server collects and consolidates the following data:

[1365] Satellite office availability, location information, and facility information

[1366] Transportation information to your next destination (using map services)

[1367] The user's emotional state

[1368] Based on this collected data, an algorithm is run to select the most suitable satellite office, restaurant, and menu. For example, if a user is feeling stressed, an office that offers a relaxing environment or a menu using ingredients that have a relaxing effect will be recommended.

[1369] 3. Displaying recommendation results:

[1370] The device displays the recommendation results (offices, restaurants, menus) selected by the server to the user, including maps, addresses, access methods, travel time, seating types, facility information, and the reason for the recommendation based on the user's emotional state.

[1371] 4. Confirmation of reservation:

[1372] When a user selects the desired office or restaurant and presses the "reserve" button, the server sends a reservation request to the selected location and notifies the user of the results. The results are then automatically added to the user's schedule and synchronized with the calendar app.

[1373] Specific examples

[1374] For example, consider the case where a user inputs "10:00–11:00, visit a client at Station A" and "14:00–15:00, meeting at Station B," selects Station B as the next destination, selects a private office as the desired seating type, and lists their current emotional state as "stressed." The server retrieves the availability of satellite offices around Station A and Station B and uses a map service to obtain the travel time from Station A to Station B. Based on this information, the server determines that a satellite office located a five-minute walk away is optimal and recommends it as an office with a relaxing environment (e.g., a private office, quiet area). When the user selects this office and presses the "Book" button, the server sends a reservation request to the location and notifies the user once the reservation is confirmed. In this way, it is possible to select and reserve the optimal satellite office taking into account the user's emotional state.

[1375] Prompt Sentence Examples

[1376] Enter your current emotional state (e.g., stress, anxiety, joy, focus, etc.) and we'll recommend the best restaurants and menus based on that emotional state.

[1377] The above system and method make it possible to provide the optimal environment and meals for the user's emotional state and specific action plan. This invention can significantly improve the user experience in two key areas: satellite offices and food delivery.

[1378] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[1379] Step 1:

[1380] The user launches the application using a smartphone or PC and inputs their schedule and emotional state.

[1381] Input: Schedule information (e.g., "10:00 - 11:00, visit a customer at Station A" or "14:00 - 15:00, meeting at Station B"), emotional state (e.g., "stress")

[1382] Output: Schedule information and emotional state data are sent from the device to the server.

[1383] Step 2:

[1384] The server receives the user's input information and uses APIs to obtain availability, location information, and facility information from each satellite office service.

[1385] Input: Schedule information, emotional state

[1386] Output: Data on the availability, location and facilities of each satellite office is collected on the server.

[1387] Step 3:

[1388] The server uses a map service to calculate multiple transportation options and travel times to the next destination.

[1389] Input: current location of user, next destination information

[1390] Output: Data on transportation methods such as walking, train, bus, and car, and the travel time required for each method, are collected on the server.

[1391] Step 4:

[1392] The server integrates the user's input information (schedule, emotional state), satellite office availability, location information, and traffic information to select the most suitable satellite office, restaurant, and menu.

[1393] Input: Schedule information, emotional state, satellite office information, traffic information

[1394] Output: Recommendation result data for optimal satellite offices, restaurants, and menus is generated.

[1395] Step 5:

[1396] The server transmits the recommendation results to the user's terminal, which then displays the results to the user.

[1397] Input: Recommendation result data

[1398] Output: Recommended satellite offices, restaurants, and menu information will be displayed on the device.

[1399] Step 6:

[1400] The user selects the desired satellite office or restaurant from the displayed recommendation results and presses the reservation button.

[1401] Input: User's selected office or restaurant information

[1402] Output: A reservation request is sent from the terminal to the server.

[1403] Step 7:

[1404] The server transmits a reservation request to the selected satellite office or restaurant and notifies the user's terminal of the reservation result.

[1405] Input: Reservation Request

[1406] Output: The reservation result is sent to the user's device. This result is automatically added to the user's schedule again and synchronized with the calendar app.

[1407] 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.

[1408] 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.

[1409] 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.

[1410] 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.

[1411] FIG. 9 illustrates 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 behaviors 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.

[1412] 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.

[1413] 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).

[1414] 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.

[1415] 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."

[1416] 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.

[1417] 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).

[1418] 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.

[1419] 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.

[1420] 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.

[1421] 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.

[1422] 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.

[1423] 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.

[1424] 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.

[1425] 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.

[1426] 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.

[1427] 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.

[1428] The following is further disclosed regarding the above embodiment.

[1429] (Claim 1)

[1430] a means for a user to input a current schedule;

[1431] A means for the server to acquire vacancy status, location information, and facility information from each satellite office providing service;

[1432] A means for the server to collect traffic information to the next destination;

[1433] A means for the server to select the optimal satellite office based on the user's input information and acquired data;

[1434] A means for the terminal to display the recommendation results from the server;

[1435] A means for a user to make a reservation from among the displayed satellite offices;

[1436] The system includes a means for the server to send a reservation request to the selected satellite office and notify the user's terminal of the reservation result.

[1437] (Claim 2)

[1438] 10. The system of claim 1, wherein the server utilizes a map service to calculate transportation options and travel times and provide access information to the next destination.

[1439] (Claim 3)

[1440] 10. The system of claim 1, wherein the server scores the best satellite offices and recommends the office that best matches the user's requirements.

[1441] "Example 1"

[1442] (Claim 1)

[1443] a means for a user to input a current schedule;

[1444] A means for the server to acquire vacancy status, location information, and facility information from each satellite office providing service;

[1445] A means for the server to use a map service to calculate transportation means and required time and collect transportation information to the next destination;

[1446] A means for the server to score and select the most suitable satellite office based on the user's schedule, satellite office availability, location information, and traffic information;

[1447] A means for the terminal to display the recommendation results from the server;

[1448] A means for a user to make a reservation from among the displayed satellite offices;

[1449] The system includes a means for the server to send a reservation request to the selected satellite office and notify the user's terminal of the reservation result.

[1450] (Claim 2)

[1451] 10. The system of claim 1, wherein the server scores the best satellite offices and recommends the office that best matches the user's requirements.

[1452] (Claim 3)

[1453] The system of claim 1, wherein the server integrates and analyzes various data and uses a generative AI model to recommend the satellite office that best suits the user's requirements based on a prompt sentence.

[1454] "Application Example 1"

[1455] Rewriting claims for new inventions

[1456] (Claim 1)

[1457] a means for a user to input a current schedule;

[1458] A means for the server to acquire availability, location information, and facility information from each work facility providing service;

[1459] A means for the server to collect traffic information to the next destination;

[1460] A means for the server to select the most suitable work facility based on the user's input information and acquired data;

[1461] A means for the terminal to display the recommendation results from the server;

[1462] A means for a user to make a reservation from among the displayed work facilities;

[1463] The system includes a means for the server to send a reservation request to the selected work facility and notify the user of the reservation result on the terminal.

[1464] (Claim 2)

[1465] The system of claim 1, wherein the server utilizes a traffic information service to calculate transportation options and travel times and provide access information to the next destination.

[1466] (Claim 3)

[1467] 10. The system of claim 1, wherein the server scores the best work facilities and recommends the facility that best matches the user's requirements.

[1468] "Example 2: Combining Emotion Engines"

[1469] (Claim 1)

[1470] a means for a user to input a current schedule;

[1471] a means for a user to input an emotional state;

[1472] A means for the server to acquire availability, location information, and facility information from each facility providing service;

[1473] A means for the server to collect traffic information to the next destination;

[1474] A means for the server to select the most suitable facility based on the user's input information, emotional state, and acquired data;

[1475] A means for the terminal to display the recommendation results from the server;

[1476] A means for the user to make a reservation from among the displayed facilities;

[1477] The system includes a means for the server to send a reservation request to the selected facility and notify the user of the reservation result on the user's terminal.

[1478] (Claim 2)

[1479] 10. The system of claim 1, wherein the server utilizes a map service to calculate transportation options and travel times and provide access information to the next destination.

[1480] (Claim 3)

[1481] 10. The system of claim 1, wherein the server scores the best facilities and recommends the facility that best matches the user's requirements.

[1482] "Application example 2 when combining emotion engines"

[1483] (Claim 1)

[1484] a means for a user to input a current schedule;

[1485] A means for the server to acquire vacancy status, location information, and facility information from each satellite office providing service;

[1486] A means for the server to collect traffic information to the next destination;

[1487] A means for the server to select the most suitable satellite office, restaurant, and menu based on the user's input information and emotional state data;

[1488] A means for the terminal to display the recommendation results from the server;

[1489] A means for users to make reservations from among the displayed satellite offices and restaurants;

[1490] The system includes a means for the server to send a reservation request to the selected satellite office or restaurant and notify the user of the reservation result to the user's terminal.

[1491] (Claim 2)

[1492] 10. The system of claim 1, wherein the server utilizes a map service to calculate transportation options and travel times and provide access information to the next destination.

[1493] (Claim 3)

[1494] 10. The system of claim 1, wherein the server scores optimal satellite offices or restaurants and recommends the office or menu that best matches the user's needs and emotional state. [Explanation of symbols]

[1495] 10, 210, 310, 410 Data Processing Systems 12 Data Processing Device 14 Smart Devices 214 Smart Glasses 314 Headset-type terminal 414 Robot< / url:> < / url:> < / url:> < / url:>

Claims

1. a means for a user to input a current schedule; A means for the server to acquire vacancy status, location information, and facility information from each satellite office providing service; A means for the server to collect traffic information to the next destination; A means for the server to select the optimal satellite office based on the user's input information and acquired data; A means for the terminal to display the recommendation results from the server; A means for a user to make a reservation from among the displayed satellite offices; The system includes a means for the server to send a reservation request to the selected satellite office and notify the user's terminal of the reservation result.

2. The system of claim 1, wherein the server uses a map service to calculate transportation options and travel times, and provides access information to the next destination.

3. 10. The system of claim 1, wherein the server scores the best satellite offices and recommends the office that best matches the user's requirements.

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