system

Abstract

We provide the system. [Solution] Information acquisition means for collecting user characteristic information, A proposal generation means that generates proposals based on the aforementioned information and geographical information, A proposal presentation means for presenting the aforementioned proposal to the user and accepting their selection, A reservation execution means for reserving a real-world facility or activity based on the aforementioned selection, A notification means for informing the user of the completion of the aforementioned reservation, A system that includes this.

Description

Technical Field

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

Background Art

[0002] Patent Document 1 discloses a method for controlling a persona chatbot, which is performed by at least one processor, and includes steps of receiving a user utterance, adding the user utterance to a prompt including an instruction sentence related to an explanation of a 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

Summary of the Invention

Problems to be Solved by the Invention

[0004] In modern times, users with busy lives often simply spend their holidays idly and cannot obtain sufficient refreshment. Therefore, there is a need for a system that can easily find a way to spend holidays suitable for each individual and can be implemented without hassle.

Means for Solving the Problems

[0005] The present invention provides a system including a proposal generation means for collecting user information in detail and generating an optimal proposal based on the information. Further, by presenting the proposal to the user, automatically executing a reservation based on the selected proposal, and notifying the user of the completion of the reservation, it is possible to plan and execute a way to spend holidays more efficiently.

[0006] "Information gathering means" refers to functions that acquire personal information from users, such as age, gender, region, and hobbies.

[0007] The "proposal generation method" is a function that, based on the collected user information, formulates the most suitable way for the user to spend their holidays.

[0008] A "proposal presentation method" is a function that communicates the generated multiple proposals to the user visually or audibly.

[0009] The "reservation execution method" is a function that allows users to make online reservations for related facilities and services based on their selected suggestions.

[0010] "Notification means" refers to a function for informing users of the completion status and details of their reservation. [Brief explanation of the drawing]

[0011] [Figure 1] This is a conceptual diagram showing an example of the configuration of a data processing system according to the first embodiment. [Figure 2] This is a conceptual diagram showing an example of the essential functions of a data processing device and a smart device according to the first embodiment. [Figure 3] This is a conceptual diagram showing an example of the configuration of a data processing system according to the second embodiment. [Figure 4] This is a conceptual diagram showing an example of the main functions of a data processing device and smart glasses according to the second embodiment. [Figure 5] This is a conceptual diagram showing an example of the configuration of a data processing system according to the third embodiment. [Figure 6] This is a conceptual diagram showing an example of the main functions of a data processing device and a headset-type terminal according to the third embodiment. [Figure 7] This is a conceptual diagram showing an example of the configuration of a data processing system according to the fourth embodiment. [Figure 8] This is a conceptual diagram showing an example of the main functions of a data processing device and a robot according to the fourth embodiment. [Figure 9] Shows an emotion map to which a plurality of emotions are mapped. [Figure 10] Shows an emotion map to which a plurality of emotions are mapped. [Figure 11] It is a sequence diagram showing the processing flow of the data processing system in Example 1. [Figure 12] It is a sequence diagram showing the processing flow of the data processing system in Application Example 1. [Figure 13] It is a sequence diagram showing the processing flow of the data processing system in Example 2 when an emotion engine is combined. [Figure 14] It is a sequence diagram showing the processing flow of the data processing system in Application Example 2 when an emotion engine is combined.

Embodiments for Carrying Out the Invention

[0012] Hereinafter, an example of an embodiment of a system according to the technology of the present disclosure will be described with reference to the accompanying drawings.

[0013] First, the terms used in the following description will be explained.

[0014] In the following embodiments, a processor with a reference number (hereinafter simply referred to as "processor") may be a single arithmetic unit or a combination of a plurality of arithmetic units. Also, the processor may be a single type of arithmetic unit or a combination of a plurality of types of arithmetic units. Examples of arithmetic units include a CPU (Central Processing Unit), a GPU (Graphics Processing Unit), a GPGPU (General-Purpose computing on Graphics Processing Units), an APU (Accelerated Processing Unit), and the like.

[0015] In the following embodiments, the tagged RAM (Random Access Memory) is a memory in which information is temporarily stored and is used as a work memory by a processor.

[0016] In the following embodiments, the tagged storage is one or more non-volatile storage devices that store various programs, various parameters, and the like. Examples of non-volatile storage devices include flash memory (SSD (Solid State Drive)), magnetic disks (e.g., hard disks), or magnetic tapes.

[0017] In the following embodiments, the tagged communication I / F (Interface) is an interface including a communication processor, an antenna, and the like. The communication I / F controls communication between a plurality of 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), or Bluetooth (registered trademark).

[0018] In the following embodiments, "A and / or B" is synonymous with "at least one of A and B". That is, "A and / or B" means that it may be only A, only B, or a combination of A and B. Also, in this specification, when expressing three or more matters connected by "and / or", the same concept as "A and / or B" is applied.

[0019] [First Embodiment]

[0020] FIG. 1 shows an example of the configuration of a data processing system 10 according to the first embodiment.

[0021] As shown in FIG. 1, the 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.

[0022] The data processing device 12 comprises a computer 22, a database 24, and a communication interface 26. The computer 22 is an example of a "computer" related to the technology of this disclosure. The computer 22 comprises a processor 28, RAM 30, and storage 32. The processor 28, RAM 30, and storage 32 are connected to a bus 34. The database 24 and the communication interface 26 are also connected to the bus 34. The communication interface 26 is connected to a network 54. An example of the network 54 is a WAN (Wide Area Network) and / or a LAN (Local Area Network).

[0023] The smart device 14 comprises a computer 36, a reception device 38, an output device 40, a camera 42, and a communication interface 44. The computer 36 comprises a processor 46, RAM 48, and storage 50. The processor 46, RAM 48, and storage 50 are connected to a bus 52. The reception device 38, output device 40, and camera 42 are also connected to the bus 52.

[0024] The reception device 38 is equipped with a touch panel 38A and a microphone 38B, etc., and receives user input. The touch panel 38A receives user input by detecting contact with an object (e.g., a pen or finger). The microphone 38B receives user input by detecting the user's voice. The control unit 46A transmits data indicating the user input received by the touch panel 38A and 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.

[0025] 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 perceptible to the user 20 (e.g., audio and / or text). The display 40A displays visible information such as text and images according to instructions from the processor 46. The speaker 40B outputs audio according to instructions from the processor 46. The camera 42 is a small digital camera equipped with an optical system such as a lens, aperture, and shutter, and an image sensor such as a CMOS (Complementary Metal-Oxide-Semiconductor) image sensor or a CCD (Charge Coupled Device) image sensor.

[0026] Communication interface 44 is connected to network 54. Communication interfaces 44 and 26 are responsible for the exchange of various types of information between processor 46 and processor 28 via network 54.

[0027] Figure 2 shows an example of the main functions of the data processing device 12 and the smart device 14.

[0028] As shown in Figure 2, in the data processing device 12, a specific processing 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" related to the technology of this 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 according to the specific processing program 56 executed on the RAM 30.

[0029] The storage 32 stores the data generation model 58 and the emotion identification model 59. The data generation model 58 and the emotion identification model 59 are used by the identification processing unit 290.

[0030] In the smart device 14, the processor 46 performs the reception output processing. The storage 50 stores the reception output program 60. The reception output program 60 is used in conjunction with a 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 processing is realized by the processor 46 operating as a control unit 46A according to the reception output program 60 executed on the RAM 48.

[0031] Next, the specific processing performed by the specific processing unit 290 of the data processing device 12 will be described. In the following description, the data processing device 12 will be referred to as the "server" and the smart device 14 as the "terminal".

[0032] This invention is a system that proposes individual holiday activities based on the diverse needs of users and automatically supports reservations for the selected activities. This system has a complex program structure that includes a server, a terminal, and an interface with user data.

[0033] The terminal provides a direct interface with the user, enabling the input of user profile information. The terminal displays a user interface (UI) for receiving basic information such as age, gender, region, and hobbies. The entered data is transmitted quickly and securely to the server.

[0034] The server analyzes the received information and compares it with the database. The database contains a variety of user profiles and historical statistical data, which the AI ​​agent uses to generate the most suitable holiday plan for the user. The generated plan includes content that takes into account the user's hobbies and interests, such as restaurant lunch reservations and outdoor activities.

[0035] The proposed plans are presented to the user via their device. The user selects the most suitable plan from those displayed, and the selection information is sent back to the server, automatically proceeding to the reservation process. The server interacts with the API of the designated reservation site and executes the reservation according to the user's selection.

[0036] Once the reservation is complete, the device will notify the user that the reservation is complete. The notification will include detailed reservation information, allowing the user to check and manage their schedule.

[0037] For example, if a user provides information such as "male in his 30s, lives in Tokyo, and enjoys trying out different restaurants," the server will suggest highly-rated restaurants in Tokyo and activities popular with such users. If the user chooses to dine at a restaurant, the server will then confirm the online reservation, and the device will notify the user of the reservation information.

[0038] This system allows users to quickly find a suitable holiday plan and implement it without any hassle.

[0039] The following describes the processing flow.

[0040] Step 1:

[0041] The terminal displays an interface for the user to input basic information. The user enters information such as age, gender, region, and hobbies, and sends it to the terminal.

[0042] Step 2:

[0043] The terminal sends the collected user information to the server. The server receives the data and begins analysis.

[0044] Step 3:

[0045] The server compares the received user information with its internal database to retrieve similar profiles and relevant historical statistics.

[0046] Step 4:

[0047] Based on the data acquired by the server's AI agent, multiple suggestions tailored to the user are generated. These suggestions may include, for example, activity and restaurant information aligned with the user's hobbies.

[0048] Step 5:

[0049] The server sends the generated proposals to the terminal. The terminal then displays multiple proposed plans to the user.

[0050] Step 6:

[0051] The user selects a plan of interest from the proposed plans. This selection information is sent to the server via the device.

[0052] Step 7:

[0053] The server checks if it is possible to book the relevant facilities and services based on the selected plan.

[0054] Step 8:

[0055] The server interacts with the reservation site's API and automatically completes the reservation process according to the user's selections.

[0056] Step 9:

[0057] After the reservation is complete, the server sends the details to the device. The device then displays a reservation completion notification and the details to the user.

[0058] (Example 1)

[0059] Next, we will describe Example 1. In the following description, the data processing device 12 will be referred to as the "server," and the smart device 14 will be referred to as the "terminal."

[0060] For today's busy users, suggesting and managing optimal holiday plans based on individual characteristics and preferences is a time-consuming process. In particular, providing suggestions that take into account the diverse interests of users and completing reservations quickly and efficiently has been a difficult challenge with traditional methods.

[0061] The identification process performed by the identification processing unit 290 of the data processing device 12 in Example 1 is realized by the following means.

[0062] In this invention, the server includes an information input means, a suggestion generation means, and a suggestion presentation means. This enables the generation of effective plans based on the user's characteristics and the smooth execution of reservations.

[0063] An "information input means" is an interface that has the function of receiving user characteristic information, encrypting it, and transmitting it.

[0064] The "proposal generation method" is a function that processes received user characteristic information using data analysis technology and creates optimal suggestions for the user using an artificial intelligence model.

[0065] A "proposal presentation method" is a display function that provides users with a visual representation of proposals generated from the server.

[0066] The "reservation execution method" is a function that automatically processes reservations based on proposals through integration with external services.

[0067] "Notification method" refers to a function that informs users in real time of the results of their reservations and provides them with information.

[0068] A "database" is a storage device within a system used to accumulate and manage user and past proposal data.

[0069] A "generation prompt" is input data that includes instructions used when generating proposals for an artificial intelligence model.

[0070] The system implementing this invention is primarily composed of three entities: a server, a terminal, and a user. The main technologies used within the system include a web application framework, database technology, encryption technology, artificial intelligence models, and API integration technology.

[0071] The server is at the core of this system. The server uses programming languages ​​such as Python to process the received user characteristic information. Flask and Django are used as web application frameworks. This allows for efficient information analysis and the activation of the suggestion generation mechanism. An artificial intelligence model is involved in suggestion generation, using a model like OpenAI (registered trademark) to propose the optimal plan for the user. The database is built using PostgreSQL, storing historical user data and statistical data, and serving as a data source accessed by the AI ​​model. The AI ​​model generates optimized suggestions using generation prompts.

[0072] The terminal functions as a user interface, allowing users to input information and send it to the server. The terminal is built using HTML, CSS, and JavaScript (registered trademarks), and its responsive design ensures compatibility with various devices. The terminal also visualizes and displays proposed plans, prompting the user for confirmation and selection. Furthermore, encryption technology using the SSL / TLS protocol is employed to ensure communication security.

[0073] The user is a human being who operates this system. The user inputs information such as their age, gender, region, and hobbies through a terminal, and this information is sent to the server for analysis. After reviewing the proposed plans, the user can then select the plan that interests them most.

[0074] As a concrete example, suppose a user enters the information "male in his 30s, lives in Tokyo, hobby is eating out" into the device. This information is sent to the server, and the AI ​​model creates a prompt that says, "Please suggest a holiday plan for a man in his 30s to spend in Tokyo. His hobby is eating out," and generates an optimal plan. The server sends the generated result back to the device and displays a detailed plan on the screen. The user selects the appropriate option from the presented choices, and the reservation is automatically executed based on that selection.

[0075] This embodiment allows users to easily find a holiday plan that suits them and complete the procedures quickly.

[0076] The flow of the specific processing in Example 1 will be explained using Figure 11.

[0077] Step 1:

[0078] The user enters their profile information using their device. This information includes age, gender, region, and hobbies. The user provides this information through an HTML form on their device, which is validated in real time using JavaScript. This input data is then prepared to be sent to the server in a secure format.

[0079] Step 2:

[0080] The terminal encrypts the information entered by the user using the SSL / TLS protocol and sends it to the server as an HTTP request. This process ensures that user data is transferred securely over the network and is ready for analysis on the server side.

[0081] Step 3:

[0082] The server analyzes the received user information and performs data transformation and formatting using a Python data analysis library. Based on the formatted data, it performs calculations to generate prompts for the AI ​​model (generative AI model) and outputs them as "prompts." Based on these prompts, the AI ​​agent generates the optimal holiday plan.

[0083] Step 4:

[0084] The server structures the plan data generated using an AI model (e.g., a natural language processing model) into JSON format and sends it to the terminal. This generated plan includes activity and recommendation plans tailored to the user's individuality. The server optimizes the suggestions by referring to similar user data and statistics in the database.

[0085] Step 5:

[0086] The terminal visualizes the received plan data and displays it in the user interface. The user reviews the options from multiple plans and selects the one that interests them most. If a plan is selected, the terminal prepares to send the user's selection information to the server.

[0087] Step 6:

[0088] The server automates the reservation process by integrating with external service APIs based on the user's chosen plan. It uses the response returned by the API to check the reservation status and retries the process if necessary. This reservation execution translates the selected information into concrete actions that are then carried out.

[0089] Step 7:

[0090] The device notifies the user of the details of a successful booking and provides feedback. This notification may include email or push notification, informing the user of the confirmed booking information (date, time, location, etc.). This allows the user to incorporate it into their schedule and prepare to actually carry out their chosen plan.

[0091] (Application Example 1)

[0092] Next, we will explain Application Example 1. In the following explanation, the data processing device 12 will be referred to as the "server," and the smart device 14 will be referred to as the "terminal."

[0093] In modern society, it is difficult to quickly find and execute appropriate holiday plans that suit individual preferences and circumstances. Furthermore, manual planning and booking are time-consuming and cumbersome, necessitating more efficient methods. Additionally, external factors (e.g., weather) that can affect the actual experience must be taken into consideration.

[0094] The specific processing performed by the specific processing unit 290 of the data processing device 12 in Application Example 1 is realized by the following means.

[0095] In this invention, the server includes means for collecting user characteristic information, means for generating suggestions based on geographic and environmental information, and means for reserving real-world facilities or activities based on the user's selection. This makes it possible to automatically suggest and execute a plan that is best suited to the user's individual preferences and circumstances.

[0096] "User characteristic information" refers to the user's age, gender, residential area, and interests, and is information that reflects the user's personality and preferences.

[0097] "Geographic information" refers to data about a user's current location and destination, which is obtained using location-based services.

[0098] "Environmental information" refers to information about external factors that users encounter when using the service, and includes data such as weather conditions, weather, and time of day.

[0099] "Means for generating proposals" refers to the processes and algorithms used to devise optimal plans and activities based on user input information and existing data.

[0100] "Real-world facilities or activities" refer to physical places or activities that users can actually visit, and include restaurants, activity facilities, and tourist attractions.

[0101] "Means of booking" refers to the processes and techniques used to ensure prior participation in or visit to proposed facilities or activities, based on the user's choice.

[0102] This invention is a system that proposes optimal real-world activities based on diverse information about the user. The system mainly consists of terminals and servers.

[0103] The device provides an interface for collecting characteristic information from users, such as age, gender, and residential area. It also acquires geographical information using the smartphone's location services. The collected information is securely transmitted to a server.

[0104] The server generates suggestions based on received feature and geographic information, referencing historical statistical data and similar user profiles in the database. Using a generation AI model, it derives the optimal holiday plan from the database and sends it to the user's device for presentation. Furthermore, it can optimize the plan by considering weather information obtained from a weather API.

[0105] When a user selects a destination and activity from the presented plans, the device sends the selection to the server, which uses a reservation API to make a reservation for the selected real-world facility or activity. The device is used to notify the user when the reservation is complete and to provide them with detailed information.

[0106] For example, if a user is a "male in his 30s living in Tokyo, with a temperature of 24°C and sunny weather," the server will suggest a cafe in Tokyo where users can enjoy nature. Furthermore, using a generative AI model, the specific prompt might be, "Please suggest recommended activities for a Tokyo resident in his 30s, taking weather and location information into consideration."

[0107] The flow of a specific process in Application Example 1 will be explained using Figure 12.

[0108] Step 1:

[0109] The device collects user characteristic information. Specifically, it prompts users to input their age, gender, residential area, and interests through the interface, and obtains their current location using location services. This information is treated as input data. As output, the collected information is sent to the server.

[0110] Step 2:

[0111] The server consults a database based on user characteristic information received from the terminal. Based on the characteristic information as input, it searches for similar profiles and historical statistical data, and uses a generative AI model to generate an optimal holiday plan. This plan is then output and sent to the terminal.

[0112] Step 3:

[0113] The terminal presents the user with plans received from the server. The terminal's display shows the details of the suggestions, allowing the user to select a plan they are interested in. The input is the plans from the server, and the output is the plan selected by the user.

[0114] Step 4:

[0115] The user selects a destination and activities from the presented plans. The device then sends the user's selections back to the server. The input is the user's selection, and the output is the transmission of the selection information to the server.

[0116] Step 5:

[0117] The server executes a reservation for a real-world facility or activity via a reservation API, based on the user's selection. Inputs include the user's selection information and the API interface. Output is reservation completion information, which is sent to the terminal.

[0118] Step 6:

[0119] The terminal receives reservation completion information from the server and notifies the user. Specifically, it displays the reservation details on the screen. The input is the reservation completion information from the server, and the output is the notification to the user.

[0120] Furthermore, an emotion engine that estimates the user's emotions may be incorporated. That is, the identification processing unit 290 may use the emotion identification model 59 to estimate the user's emotions and perform identification processing using the user's emotions.

[0121] This invention is a system that proposes ways for users to spend their holidays in a way that meets their diverse needs, and supports the comfortable and efficient booking and execution of those activities. The invention also features the use of an emotion engine to recognize the user's psychological state and provide more personalized suggestions.

[0122] The device provides a direct interface with the user, allowing for the input of basic information and the acquisition of emotional states. In addition to information on age, gender, region, and hobbies, the device is equipped with a user interface (UI) and sensors to read emotions from the user's voice and facial expressions. The acquired emotional information is securely transmitted to a server.

[0123] The server processes and analyzes user information sent from the terminal. The database stores diverse user profiles, statistical data, and historical emotional data, which the AI ​​agent uses to create the optimal holiday plan for the user. This proposal may include relaxing activities for those who want to relax and low-intensity exercises for those who want to be active, taking into account the user's emotional state obtained by the emotion engine.

[0124] The generated suggestions are presented to the user via their device. The user selects a plan that interests them from the presented options, and the booking process begins based on that selection. The selection information is sent to the server, and the booking is automatically arranged.

[0125] Once the reservation details are confirmed, the server sends completion information back to the terminal. The terminal then displays a reservation completion notification and detailed information (date, time, location, confirmation number, etc.) to the user.

[0126] For example, if a user provides information such as "female in her 20s, hobbies include yoga and watching movies, desires a relaxing holiday," and the analysis further identifies that she is "stressed," the server will offer suggestions including joining a yoga class or booking a reclining seat at a movie theater. This system allows users to easily enjoy refreshing methods tailored to their physical and mental state, enabling them to have a fulfilling holiday.

[0127] The following describes the processing flow.

[0128] Step 1:

[0129] The device displays an interface for the user to input and retrieve basic information and emotional state. The user inputs age, gender, region, and hobbies, and the device's sensors are used to retrieve emotional state from voice and facial expressions.

[0130] Step 2:

[0131] The device sends the basic information and emotional data it collects to the server. The server prepares the received data for analysis.

[0132] Step 3:

[0133] The server analyzes the user data it receives using an internal database. The database stores past sentiment data, similar user profiles, and statistical information, and the AI ​​agent refers to this data to generate suggestions tailored to the user.

[0134] Step 4:

[0135] Based on the emotional states collected by the server's AI agent, suggestions tailored to the user's psychology are generated. These suggestions include options such as relaxation, activity, and new experiences.

[0136] Step 5:

[0137] The server sends the generated suggestions to the terminal, which then displays them to the user. The user selects the plans they are interested in from the presented options.

[0138] Step 6:

[0139] The user's selection is sent to the server via the terminal, and the server prepares to execute the reservation based on the selected plan.

[0140] Step 7:

[0141] The server interacts with the booking site's API to automatically complete reservations for the necessary facilities and services according to the selected plan.

[0142] Step 8:

[0143] Once the reservation is complete, the server sends confirmation information to the device, and the device notifies the user of the details (date, time, location, usage conditions, etc.).

[0144] (Example 2)

[0145] Next, we will describe Example 2. In the following description, the data processing device 12 will be referred to as the "server" and the smart device 14 as the "terminal".

[0146] There is a need for a system that can automatically suggest optimal plans that take into account individual hobbies and emotional states when users plan their holidays to be comfortable and efficient, and that can handle the entire process from planning to booking. In particular, current systems do not adequately provide suggestions based on the user's emotional state.

[0147] The identification process performed by the identification processing unit 290 of the data processing device 12 in Example 2 is realized by the following means.

[0148] In this invention, the server includes means for collecting user information, means for generating suggestions based on the information and the user's emotional state, and means for executing reservations based on the suggestions. This makes it possible to provide an optimal plan that takes into account the user's individual hobbies and emotional state, and to consistently make reservations based on that plan.

[0149] "Means for collecting user information" refers to a device or system consisting of a combination of interfaces and sensors for acquiring data from users regarding age, gender, region, hobbies, and emotional state.

[0150] "Means for generating suggestions" refers to algorithms and AI models that utilize information in a database, based on collected user information and emotional states, to generate the most suitable holiday plan for the user.

[0151] "Means of presenting proposals" refers to interfaces and display devices that visualize and provide users with holiday plans generated by the server.

[0152] "Method for executing a reservation" refers to the process of automatically arranging a reservation based on the plan selected by the user, in cooperation with a partner reservation system.

[0153] "Means of notification" refers to communication technologies and display means for conveying reservation completion information and its details to the user.

[0154] This invention is a system that provides users with customized holiday plans and efficiently supports them in making and executing reservations. Its specific form is shown below.

[0155] The terminal plays a crucial role in collecting information from users. Specifically, the hardware might include a display, touch panel, microphone, and camera. The software would incorporate voice recognition and facial recognition systems, implementing functions to analyze emotional states in real time from voice and facial expressions, in addition to basic information such as the user's age, gender, region, and hobbies. This information would be transmitted to the server via securely encrypted communication.

[0156] The server receives data sent from the terminal and performs analysis. This analysis utilizes a generative AI model to generate holiday plans tailored to the user's individual needs. This plan generation is based on similar user profiles, statistical data, and historical sentiment data stored in a database. The server is implemented on a cloud platform, providing scalable analytical capabilities.

[0157] The suggested holiday plans include specific examples such as "booking a yoga lesson" and "securing a reclining seat at the movie theater," which reflect the user's current mental state. An example of a prompt used during plan generation might be, "We want to develop an AI that suggests the best holiday plan for stress relief. How can it analyze the user's emotions and suggest activities?"

[0158] The user reviews the proposed plans through their device and selects the option that interests them. This selection is sent from the device to the server, and the reservation is automatically arranged. After the reservation is complete, the server sends the information back to the device and notifies the user as confirmation.

[0159] This allows users to easily plan activities that best suit their individual preferences and emotional state, enabling them to enjoy a satisfying holiday.

[0160] The flow of the specific processing in Example 2 will be explained using Figure 13.

[0161] Step 1:

[0162] The device collects basic user information and emotional state. Information entered by the user includes age, gender, region, and hobbies. The device also uses its microphone and camera to analyze emotional state from facial expressions and voice. This data is collected in real time, encrypted, and transmitted to the server.

[0163] Step 2:

[0164] The server analyzes user information and sentiment data received from the terminal. By comparing the input data with similar profiles and past sentiment data in the database, it generates the optimal holiday plan for the user. A generative AI model is used for this process, resulting in the output of a personalized suggested plan.

[0165] Step 3:

[0166] The server sends the generated holiday plan to the device. The device then presents this plan to the user, displaying visual information using an easy-to-understand UI such as a list format. This allows the user to visually review various options.

[0167] Step 4:

[0168] The user selects the plan they are interested in from the presented options. Based on this selection, this information is sent from the device to the server. The selected data entered at this time includes specific activities and preferred dates and times.

[0169] Step 5:

[0170] The server receives the user's selections and automatically integrates with the reservation system. It then processes the reservation with the partner for the selected activity. The output here is the reservation confirmation information.

[0171] Step 6:

[0172] Once a reservation is complete, the server sends confirmation information back to the terminal. The terminal then notifies the user of the reservation completion and displays detailed information such as the date, time, location, and confirmation number. This allows the user to easily understand their reservation details on their device.

[0173] (Application Example 2)

[0174] Next, we will explain application example 2. In the following explanation, the data processing device 12 will be referred to as a "server" and the smart device 14 as a "terminal".

[0175] Traditionally, holiday plans for users have often been provided without adequately considering their individual preferences or psychological state, resulting in low user satisfaction. Furthermore, the lack of appropriate suggestions tailored to the user's emotions has led to a problem of consistently low-quality suggestions. This invention aims to improve user satisfaction by providing more personalized suggestions using emotion analysis.

[0176] The specific processing performed by the specific processing unit 290 of the data processing device 12 in Application Example 2 is realized by the following means.

[0177] In this invention, the server includes information gathering means for collecting user information, suggestion generation means for generating suggestions based on the information, and emotion analysis means for recognizing the user's psychological state. This makes it possible to present an optimal holiday plan that is personalized based on the user's individual emotional state.

[0178] "Information gathering means" refers to a mechanism that includes interfaces and sensors for detecting the user's basic information and psychological state.

[0179] "Proposal generation means" refers to the algorithms and processes used to construct optimal proposals for users based on collected data.

[0180] A "proposal presentation means" is an interface such as a display or audio device that provides the generated proposal to the user in a visualized form.

[0181] A "reservation execution method" is a system that automatically arranges necessary reservations based on the user's selection and the proposed content.

[0182] "Notification methods" refer to the processes and devices used to communicate completed reservation information to users, and primarily include text messages and app notification functions.

[0183] "Emotional analysis tools" refer to software and algorithms that analyze a user's psychological state from their voice and facial expressions to identify their internal emotions.

[0184] A "proposal revision mechanism" is a process that includes a function to adjust the generated proposal more appropriately based on data obtained from sentiment analysis mechanisms.

[0185] The system necessary to implement this invention consists of a series of processes that collect user information, perform sentiment analysis, generate and present suggestions, and execute reservations as needed. The main hardware used is a terminal that directly interfaces with the user and is equipped with a microphone and camera for speech recognition and facial expression analysis. The software includes an API for sentiment analysis (e.g., EmotionAPI) and a server for processing data in the backend.

[0186] The server receives basic user information and sentiment data sent from the device, and uses its database and AI agent to generate the optimal holiday plan for the user. The server sends this plan back to the device, which then presents the suggestion to the user.

[0187] The user selects a plan of interest from the presented options, and this selection information is sent to the server. The server automatically handles the associated booking process and sends booking completion information to the device. The device then notifies the user of the completion and provides detailed booking information.

[0188] For example, if a user expresses a desire for a "new experience" and the system recognizes that the user is "excited," the server can suggest booking an entertainment facility. An example of a prompt to the generating AI model in this case would be: "Suggest activities recommended when the user is feeling like enjoying a new experience. Generate the best suggestions taking into account sentiment analysis data and statistical profiles." Based on this prompt, the system can provide suggestions optimized for the user's emotions and desires.

[0189] The flow of a specific process in Application Example 2 will be explained using Figure 14.

[0190] Step 1:

[0191] The device acquires the user's voice and facial expressions in real time using a microphone and camera. The input consists of voice and image data, and based on this, it uses the EmotionAPI to analyze emotions and outputs the analyzed emotion data.

[0192] Step 2:

[0193] The device securely transmits acquired emotional data and basic user information (age, gender, region, hobbies, etc.) to the server. Input consists of emotional data from the EmotionAPI and user profile information, which are then packaged and output to the server.

[0194] Step 3:

[0195] The server uses the received sentiment data and user profile to access similar profiles in a database and generates an optimal holiday plan using a generative AI model. The input consists of sentiment data and profile data, and the prompt to the generative AI model is "Suggest activities that would be recommended when the user is feeling like enjoying a new experience." The output is a list of suggested holiday plans.

[0196] Step 4:

[0197] The server sends the generated holiday plans to the terminal. The terminal displays the plans to the user and allows them to select the one that interests them. The input is the holiday plans, the user selects the plan, and the output is the information of the selected plan.

[0198] Step 5:

[0199] The user confirms their selected plan and sends the selection information to the server via their device. The input is the user's selection information, which is then output to the server.

[0200] Step 6:

[0201] The server automatically initiates and confirms the reservation process based on the selected plan. The input is the selected plan information, and the reservation completion information is output through the reservation system.

[0202] Step 7:

[0203] The server sends reservation completion information to the terminal. The terminal notifies the user and displays the reservation completion notification and detailed information (date, time, location, confirmation number, etc.). The input is the reservation completion information, and the output is the notification information based on it.

[0204] 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 user input for the result of the specific processing. The control unit 46A transmits the audio data indicating 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.

[0205] Data generation model 58 is a so-called generative AI (Artificial Intelligence). An example of data generation model 58 is ChatGPT (registered trademark) (Internet search).<URL: https: / / openai.com / blog / chatgpt> ), Gemini (registered trademark) (Internet search) <url: https: gemini.google.com ?hl="ja">Examples of generative AI include the following. The data generation model 58 is obtained by performing deep learning on a neural network. The data generation model 58 is input with prompts containing instructions, and with inference data such as audio data representing speech, text data representing text, and image data representing images. The data generation model 58 infers from the input inference data according to the instructions indicated by the prompts, and outputs the inference results in data formats such as audio data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization.

[0206] In the above embodiment, an example was given in which specific processing is performed by the data processing device 12, but the technology of this disclosure is not limited thereto, and the specific processing may also be performed by the smart device 14.

[0207] [Second Embodiment]

[0208] Figure 3 shows an example of the configuration of the data processing system 210 according to the second embodiment.

[0209] As shown in Figure 3, the data processing system 210 includes a data processing device 12 and smart glasses 214. An example of the data processing device 12 is a server.

[0210] The data processing device 12 comprises a computer 22, a database 24, and a communication interface 26. The computer 22 is an example of a "computer" related to the technology of this disclosure. The computer 22 comprises a processor 28, RAM 30, and storage 32. The processor 28, RAM 30, and storage 32 are connected to a bus 34. The database 24 and the communication interface 26 are also connected to the bus 34. The communication interface 26 is connected to a network 54. An example of the network 54 is a WAN (Wide Area Network) and / or a LAN (Local Area Network).

[0211] The smart glasses 214 include a computer 36, a microphone 238, a speaker 240, a camera 42, and a communication interface 44. The computer 36 includes a processor 46, RAM 48, and storage 50. The processor 46, RAM 48, and storage 50 are connected to a bus 52. The microphone 238, speaker 240, and camera 42 are also connected to the bus 52.

[0212] The microphone 238 receives voice signals from the user 20 and receives instructions from the user 20. The microphone 238 captures the voice signals from the user 20, converts the captured voice into audio data, and outputs it to the processor 46. The speaker 240 outputs audio according to the instructions from the processor 46.

[0213] Camera 42 is a small digital camera equipped with an optical system including a lens, aperture, and shutter, and an image sensor such as a CMOS (Complementary Metal-Oxide-Semiconductor) image sensor or a CCD (Charge Coupled Device) image sensor, and captures images of the area around the user 20 (for example, an imaging range defined by a field of view equivalent to the width of a typical healthy person's field of vision).

[0214] Communication interface 44 is connected to network 54. Communication interfaces 44 and 26 are responsible for the exchange of various information between processor 46 and processor 28 via network 54. The exchange of various information between processor 46 and processor 28 using communication interfaces 44 and 26 is performed in a secure manner.

[0215] Figure 4 shows an example of the main functions of the data processing device 12 and the smart glasses 214. As shown in Figure 4, the data processing device 12 performs specific processing using the processor 28. The storage 32 stores the specific processing program 56.

[0216] The specific processing program 56 is an example of a "program" relating to the technology of this 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.

[0217] The storage 32 stores the data generation model 58 and the emotion identification model 59. The data generation model 58 and the emotion identification model 59 are used by the identification processing unit 290.

[0218] In the smart glasses 214, the processor 46 performs the reception output processing. The storage 50 stores the reception output program 60. 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 processing is realized by the processor 46 operating as a control unit 46A according to the reception output program 60 executed on the RAM 48.

[0219] Next, the identification processing performed by the identification processing unit 290 of the data processing device 12 will be described. 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".

[0220] This invention is a system that proposes individual holiday activities based on the diverse needs of users and automatically supports reservations for the selected activities. This system has a complex program structure that includes a server, a terminal, and an interface with user data.

[0221] The terminal provides a direct interface with the user, enabling the input of user profile information. The terminal displays a user interface (UI) for receiving basic information such as age, gender, region, and hobbies. The entered data is transmitted quickly and securely to the server.

[0222] The server analyzes the received information and compares it with the database. The database contains a variety of user profiles and historical statistical data, which the AI ​​agent uses to generate the most suitable holiday plan for the user. The generated plan includes content that takes into account the user's hobbies and interests, such as restaurant lunch reservations and outdoor activities.

[0223] The proposed plans are presented to the user via their device. The user selects the most suitable plan from those displayed, and the selection information is sent back to the server, automatically proceeding to the reservation process. The server interacts with the API of the designated reservation site and executes the reservation according to the user's selection.

[0224] Once the reservation is complete, the device will notify the user that the reservation is complete. The notification will include detailed reservation information, allowing the user to check and manage their schedule.

[0225] For example, if a user provides information such as "male in his 30s, lives in Tokyo, and enjoys trying out different restaurants," the server will suggest highly-rated restaurants in Tokyo and activities popular with such users. If the user chooses to dine at a restaurant, the server will then confirm the online reservation, and the device will notify the user of the reservation information.

[0226] This system allows users to quickly find a suitable holiday plan and implement it without any hassle.

[0227] The following describes the processing flow.

[0228] Step 1:

[0229] The terminal displays an interface for the user to input basic information. The user enters information such as age, gender, region, and hobbies, and sends it to the terminal.

[0230] Step 2:

[0231] The terminal sends the collected user information to the server. The server receives the data and begins analysis.

[0232] Step 3:

[0233] The server compares the received user information with its internal database to retrieve similar profiles and relevant historical statistics.

[0234] Step 4:

[0235] Based on the data acquired by the server's AI agent, multiple suggestions tailored to the user are generated. These suggestions may include, for example, activity and restaurant information aligned with the user's hobbies.

[0236] Step 5:

[0237] The server sends the generated proposals to the terminal. The terminal then displays multiple proposed plans to the user.

[0238] Step 6:

[0239] The user selects a plan of interest from the proposed plans. This selection information is sent to the server via the device.

[0240] Step 7:

[0241] The server checks if it is possible to book the relevant facilities and services based on the selected plan.

[0242] Step 8:

[0243] The server interacts with the reservation site's API and automatically completes the reservation process according to the user's selections.

[0244] Step 9:

[0245] After the reservation is complete, the server sends the details to the device. The device then displays a reservation completion notification and the details to the user.

[0246] (Example 1)

[0247] Next, we will describe Example 1. 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."

[0248] For today's busy users, suggesting and managing optimal holiday plans based on individual characteristics and preferences is a time-consuming process. In particular, providing suggestions that take into account the diverse interests of users and completing reservations quickly and efficiently has been a difficult challenge with traditional methods.

[0249] The identification process performed by the identification processing unit 290 of the data processing device 12 in Example 1 is realized by the following means.

[0250] In this invention, the server includes an information input means, a suggestion generation means, and a suggestion presentation means. This enables the generation of effective plans based on the user's characteristics and the smooth execution of reservations.

[0251] An "information input means" is an interface that has the function of receiving user characteristic information, encrypting it, and transmitting it.

[0252] The "proposal generation method" is a function that processes received user characteristic information using data analysis technology and creates optimal suggestions for the user using an artificial intelligence model.

[0253] A "proposal presentation method" is a display function that provides users with a visual representation of proposals generated from the server.

[0254] The "reservation execution method" is a function that automatically processes reservations based on proposals through integration with external services.

[0255] "Notification method" refers to a function that informs users in real time of the results of their reservations and provides them with information.

[0256] A "database" is a storage device within a system used to accumulate and manage user and past proposal data.

[0257] A "generation prompt" is input data that includes instructions used when generating proposals for an artificial intelligence model.

[0258] The system implementing this invention is primarily composed of three entities: a server, a terminal, and a user. The main technologies used within the system include a web application framework, database technology, encryption technology, artificial intelligence models, and API integration technology.

[0259] The server is at the core of this system. The server uses programming languages ​​such as Python to process the received user characteristic information. Flask and Django are used as web application frameworks. This allows for efficient information analysis and the activation of the suggestion generation mechanism. An artificial intelligence model is involved in suggestion generation, using a model like OpenAI to propose the optimal plan for the user. The database is built using PostgreSQL, storing historical user data and statistical data, and serving as a data source accessed by the AI ​​model. The AI ​​model generates optimized suggestions using generation prompts.

[0260] The terminal functions as a user interface, allowing users to input information and send it to the server. Built using HTML, CSS, and JavaScript, the terminal utilizes responsive design to ensure compatibility with various devices. It also visualizes and displays proposed plans, prompting users for confirmation and selection. Furthermore, encryption technology using the SSL / TLS protocol is employed to ensure communication security.

[0261] The user is a human being who operates this system. The user inputs information such as their age, gender, region, and hobbies through a terminal, and this information is sent to the server for analysis. After reviewing the proposed plans, the user can then select the plan that interests them most.

[0262] As a concrete example, suppose a user enters the information "male in his 30s, lives in Tokyo, hobby is eating out" into the device. This information is sent to the server, and the AI ​​model creates a prompt that says, "Please suggest a holiday plan for a man in his 30s to spend in Tokyo. His hobby is eating out," and generates an optimal plan. The server sends the generated result back to the device and displays a detailed plan on the screen. The user selects the appropriate option from the presented choices, and the reservation is automatically executed based on that selection.

[0263] This embodiment allows users to easily find a holiday plan that suits them and complete the procedures quickly.

[0264] The flow of the specific processing in Example 1 will be explained using Figure 11.

[0265] Step 1:

[0266] The user enters their profile information using their device. This information includes age, gender, region, and hobbies. The user provides this information through an HTML form on their device, which is validated in real time using JavaScript. This input data is then prepared to be sent to the server in a secure format.

[0267] Step 2:

[0268] The terminal encrypts the information entered by the user using the SSL / TLS protocol and sends it to the server as an HTTP request. This process ensures that user data is transferred securely over the network and is ready for analysis on the server side.

[0269] Step 3:

[0270] The server analyzes the received user information and performs data transformation and formatting using a Python data analysis library. Based on the formatted data, it performs calculations to generate prompts for the AI ​​model (generative AI model) and outputs them as "prompts." Based on these prompts, the AI ​​agent generates the optimal holiday plan.

[0271] Step 4:

[0272] The server structures the plan data generated using an AI model (e.g., a natural language processing model) into JSON format and sends it to the terminal. This generated plan includes activity and recommendation plans tailored to the user's individuality. The server optimizes the suggestions by referring to similar user data and statistics in the database.

[0273] Step 5:

[0274] The terminal visualizes the received plan data and displays it in the user interface. The user reviews the options from multiple plans and selects the one that interests them most. If a plan is selected, the terminal prepares to send the user's selection information to the server.

[0275] Step 6:

[0276] The server automates the reservation process by integrating with external service APIs based on the user's chosen plan. It uses the response returned by the API to check the reservation status and retries the process if necessary. This reservation execution translates the selected information into concrete actions that are then carried out.

[0277] Step 7:

[0278] The terminal notifies the user of the details of a successful reservation and provides feedback. This notification includes emails and push notifications, and conveys the confirmed reservation information (date, time, location, etc.) to the user. As a result, the user can reflect it in their schedule and get ready to actually execute the selected plan.

[0279] (Application Example 1)

[0280] Next, Application Example 1 will be described. In the following description, the data processing device 12 is referred to as a "server", and the smart glasses 214 are referred to as a "terminal".

[0281] In modern society, it is difficult to quickly discover and execute an appropriate holiday plan that suits the individual preferences and conditions of users. In addition, manual planning and reservation takes time and effort, so an efficient method is required. Furthermore, external factors (e.g., weather) that affect the actual experience need to be taken into consideration.

[0282] The specific processing by the specific processing unit 290 of the data processing device 12 in Application Example 1 is realized by the following respective means.

[0283] In this invention, the server includes means for collecting user characteristic information, means for generating a proposal based on geographical information and environmental information, and means for reserving real-world facilities or activities based on the user's selection. As a result, it becomes possible to automatically propose and execute a plan that is optimal for the individual preferences and situations of the user.

[0284] "User characteristic information" refers to the age, gender, residential area, and interests of an individual user, and is information that reflects the personality and preferences of the user.

[0285] "Geographical information" is data related to the current location or destination location of the user, and is information obtained using a location information service.

[0286] "Environmental information" refers to information regarding external factors when the user uses it, and is data including meteorological conditions, weather, and time zones.

[0287] "Means for generating proposals" refers to the processes and algorithms for devising optimal plans and activities based on the input information of the user and existing data.

[0288] "Real-world facilities or activities" refers to physical locations or actions that the user can actually visit, including restaurants, activity facilities, tourist attractions, etc.

[0289] "Means for making reservations" refers to the processes and technologies for securing prior participation or visits to the proposed facilities or activities based on the user's selection.

[0290] This invention is a system that proposes optimal real-world activities based on various information of the user. The system is mainly composed of a terminal and a server.

[0291] The terminal provides an interface for collecting characteristic information regarding age, gender, and residential area from the user. Also, using the location information service of the smartphone, geographical information is also acquired. The acquired information is securely transmitted to the server.

[0292] Based on the received characteristic information and geographical information, the server generates proposals while referring to the profiles of users similar to the past statistical information in the database. Using the generated AI model, an optimal holiday plan is derived from the database and transmitted to the terminal to be presented to the user. Furthermore, it is possible to optimize the plan by also considering the meteorological information acquired from the weather API.

[0293] When the user selects a destination or activity from the presented plans, the terminal transmits the selection to the server, and the server uses the reservation API to execute the reservation of the selected real-world facility or activity. The terminal is used for the notification of reservation completion to provide detailed information to the user.

[0294] For example, if a user is a "male in his 30s living in Tokyo, with a temperature of 24°C and sunny weather," the server will suggest a cafe in Tokyo where users can enjoy nature. Furthermore, using a generative AI model, the specific prompt might be, "Please suggest recommended activities for a Tokyo resident in his 30s, taking weather and location information into consideration."

[0295] The flow of a specific process in Application Example 1 will be explained using Figure 12.

[0296] Step 1:

[0297] The device collects user characteristic information. Specifically, it prompts users to input their age, gender, residential area, and interests through the interface, and obtains their current location using location services. This information is treated as input data. As output, the collected information is sent to the server.

[0298] Step 2:

[0299] The server consults a database based on user characteristic information received from the terminal. Based on the characteristic information as input, it searches for similar profiles and historical statistical data, and uses a generative AI model to generate an optimal holiday plan. This plan is then output and sent to the terminal.

[0300] Step 3:

[0301] The terminal presents the user with plans received from the server. The terminal's display shows the details of the suggestions, allowing the user to select a plan they are interested in. The input is the plans from the server, and the output is the plan selected by the user.

[0302] Step 4:

[0303] The user selects a destination or activity from the presented plans. The terminal performs the operation of sending the user's selection to the server again. The input is the user's selection, and the output is the transmission of the selection information to the server.

[0304] Step 5:

[0305] Based on the user's selection, the server makes a reservation for a real-world facility or activity through the reservation API. The inputs are the user's selection information and the API interface. As output, reservation completion information is generated and sent to the terminal.

[0306] Step 6:

[0307] The terminal receives the reservation completion information from the server and notifies the user. The specific operation is to display the details of the reservation on the display. The input is the reservation completion information from the server, and the output is the notification to the user.

[0308] Furthermore, an emotion engine for estimating the user's emotions may be combined. That is, the specific processing unit 290 may estimate the user's emotions using the emotion recognition model 59 and perform specific processing using the user's emotions.

[0309] This invention is a system that proposes ways to spend holidays according to various needs of users and supports reservation and execution comfortably and efficiently. Additionally, this invention has the feature of using an emotion engine to recognize the user's psychological state and make more individualized proposals.

[0310] The terminal provides a direct interface with the user and performs input of basic information and acquisition of the emotional state. In addition to information regarding age, gender, region, and hobbies, the terminal includes a UI (user interface) and sensors for reading emotions from the user's voice and expression. Also, the acquired emotion information is securely transmitted to the server.

[0311] The server processes and analyzes user information sent from the terminal. The database stores diverse user profiles, statistical data, and historical emotional data, which the AI ​​agent uses to create the optimal holiday plan for the user. This proposal may include relaxing activities for those who want to relax and low-intensity exercises for those who want to be active, taking into account the user's emotional state obtained by the emotion engine.

[0312] The generated suggestions are presented to the user via their device. The user selects a plan that interests them from the presented options, and the booking process begins based on that selection. The selection information is sent to the server, and the booking is automatically arranged.

[0313] Once the reservation details are confirmed, the server sends completion information back to the terminal. The terminal then displays a reservation completion notification and detailed information (date, time, location, confirmation number, etc.) to the user.

[0314] For example, if a user provides information such as "female in her 20s, hobbies include yoga and watching movies, desires a relaxing holiday," and the analysis further identifies that she is "stressed," the server will offer suggestions including joining a yoga class or booking a reclining seat at a movie theater. This system allows users to easily enjoy refreshing methods tailored to their physical and mental state, enabling them to have a fulfilling holiday.

[0315] The following describes the processing flow.

[0316] Step 1:

[0317] The device displays an interface for the user to input and retrieve basic information and emotional state. The user inputs age, gender, region, and hobbies, and the device's sensors are used to retrieve emotional state from voice and facial expressions.

[0318] Step 2:

[0319] The device sends the basic information and emotional data it collects to the server. The server prepares the received data for analysis.

[0320] Step 3:

[0321] The server analyzes the user data it receives using an internal database. The database stores past sentiment data, similar user profiles, and statistical information, and the AI ​​agent refers to this data to generate suggestions tailored to the user.

[0322] Step 4:

[0323] Based on the emotional states collected by the server's AI agent, suggestions tailored to the user's psychology are generated. These suggestions include options such as relaxation, activity, and new experiences.

[0324] Step 5:

[0325] The server sends the generated suggestions to the terminal, which then displays them to the user. The user selects the plans they are interested in from the presented options.

[0326] Step 6:

[0327] The user's selection is sent to the server via the terminal, and the server prepares to execute the reservation based on the selected plan.

[0328] Step 7:

[0329] The server interacts with the booking site's API to automatically complete reservations for the necessary facilities and services according to the selected plan.

[0330] Step 8:

[0331] Once the reservation is complete, the server sends confirmation information to the device, and the device notifies the user of the details (date, time, location, usage conditions, etc.).

[0332] (Example 2)

[0333] Next, we will describe Example 2. 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".

[0334] There is a need for a system that can automatically suggest optimal plans that take into account individual hobbies and emotional states when users plan their holidays to be comfortable and efficient, and that can handle the entire process from planning to booking. In particular, current systems do not adequately provide suggestions based on the user's emotional state.

[0335] The identification process performed by the identification processing unit 290 of the data processing device 12 in Example 2 is realized by the following means.

[0336] In this invention, the server includes means for collecting user information, means for generating suggestions based on the information and the user's emotional state, and means for executing reservations based on the suggestions. This makes it possible to provide an optimal plan that takes into account the user's individual hobbies and emotional state, and to consistently make reservations based on that plan.

[0337] "Means for collecting user information" refers to a device or system consisting of a combination of interfaces and sensors for acquiring data from users regarding age, gender, region, hobbies, and emotional state.

[0338] "Means for generating suggestions" refers to algorithms and AI models that utilize information in a database, based on collected user information and emotional states, to generate the most suitable holiday plan for the user.

[0339] "Means of presenting proposals" refers to interfaces and display devices that visualize and provide users with holiday plans generated by the server.

[0340] "Method for executing a reservation" refers to the process of automatically arranging a reservation based on the plan selected by the user, in cooperation with a partner reservation system.

[0341] "Means of notification" refers to communication technologies and display means for conveying reservation completion information and its details to the user.

[0342] This invention is a system that provides users with customized holiday plans and efficiently supports them in making and executing reservations. Its specific form is shown below.

[0343] The terminal plays a crucial role in collecting information from users. Specifically, the hardware might include a display, touch panel, microphone, and camera. The software would incorporate voice recognition and facial recognition systems, implementing functions to analyze emotional states in real time from voice and facial expressions, in addition to basic information such as the user's age, gender, region, and hobbies. This information would be transmitted to the server via securely encrypted communication.

[0344] The server receives data sent from the terminal and performs analysis. This analysis utilizes a generative AI model to generate holiday plans tailored to the user's individual needs. This plan generation is based on similar user profiles, statistical data, and historical sentiment data stored in a database. The server is implemented on a cloud platform, providing scalable analytical capabilities.

[0345] The suggested holiday plans include specific examples such as "booking a yoga lesson" and "securing a reclining seat at the movie theater," which reflect the user's current mental state. An example of a prompt used during plan generation might be, "We want to develop an AI that suggests the best holiday plan for stress relief. How can it analyze the user's emotions and suggest activities?"

[0346] The user reviews the proposed plans through their device and selects the option that interests them. This selection is sent from the device to the server, and the reservation is automatically arranged. After the reservation is complete, the server sends the information back to the device and notifies the user as confirmation.

[0347] This allows users to easily plan activities that best suit their individual preferences and emotional state, enabling them to enjoy a satisfying holiday.

[0348] The flow of the specific processing in Example 2 will be explained using Figure 13.

[0349] Step 1:

[0350] The device collects basic user information and emotional state. Information entered by the user includes age, gender, region, and hobbies. The device also uses its microphone and camera to analyze emotional state from facial expressions and voice. This data is collected in real time, encrypted, and transmitted to the server.

[0351] Step 2:

[0352] The server analyzes user information and sentiment data received from the terminal. By comparing the input data with similar profiles and past sentiment data in the database, it generates the optimal holiday plan for the user. A generative AI model is used for this process, resulting in the output of a personalized suggested plan.

[0353] Step 3:

[0354] The server sends the generated holiday plan to the device. The device then presents this plan to the user, displaying visual information using an easy-to-understand UI such as a list format. This allows the user to visually review various options.

[0355] Step 4:

[0356] The user selects the plan they are interested in from the presented options. Based on this selection, this information is sent from the device to the server. The selected data entered at this time includes specific activities and preferred dates and times.

[0357] Step 5:

[0358] The server receives the user's selections and automatically integrates with the reservation system. It then processes the reservation with the partner for the selected activity. The output here is the reservation confirmation information.

[0359] Step 6:

[0360] Once a reservation is complete, the server sends confirmation information back to the terminal. The terminal then notifies the user of the reservation completion and displays detailed information such as the date, time, location, and confirmation number. This allows the user to easily understand their reservation details on their device.

[0361] (Application Example 2)

[0362] Next, we will explain application example 2. In the following explanation, the data processing device 12 will be referred to as the "server," and the smart glasses 214 will be referred to as the "terminal."

[0363] Traditionally, holiday plans for users have often been provided without adequately considering their individual preferences or psychological state, resulting in low user satisfaction. Furthermore, the lack of appropriate suggestions tailored to the user's emotions has led to a problem of consistently low-quality suggestions. This invention aims to improve user satisfaction by providing more personalized suggestions using emotion analysis.

[0364] The specific processing performed by the specific processing unit 290 of the data processing device 12 in Application Example 2 is realized by the following means.

[0365] In this invention, the server includes information gathering means for collecting user information, suggestion generation means for generating suggestions based on the information, and emotion analysis means for recognizing the user's psychological state. This makes it possible to present an optimal holiday plan that is personalized based on the user's individual emotional state.

[0366] "Information gathering means" refers to a mechanism that includes interfaces and sensors for detecting the user's basic information and psychological state.

[0367] "Proposal generation means" refers to the algorithms and processes used to construct optimal proposals for users based on collected data.

[0368] A "proposal presentation means" is an interface such as a display or audio device that provides the generated proposal to the user in a visualized form.

[0369] A "reservation execution method" is a system that automatically arranges necessary reservations based on the user's selection and the proposed content.

[0370] "Notification methods" refer to the processes and devices used to communicate completed reservation information to users, and primarily include text messages and app notification functions.

[0371] "Emotional analysis tools" refer to software and algorithms that analyze a user's psychological state from their voice and facial expressions to identify their internal emotions.

[0372] A "proposal revision mechanism" is a process that includes a function to adjust the generated proposal more appropriately based on data obtained from sentiment analysis mechanisms.

[0373] The system necessary to implement this invention consists of a series of processes that collect user information, perform sentiment analysis, generate and present suggestions, and execute reservations as needed. The main hardware used is a terminal that directly interfaces with the user and is equipped with a microphone and camera for speech recognition and facial expression analysis. The software includes an API for sentiment analysis (e.g., EmotionAPI) and a server for processing data in the backend.

[0374] The server receives basic user information and sentiment data sent from the device, and uses its database and AI agent to generate the optimal holiday plan for the user. The server sends this plan back to the device, which then presents the suggestion to the user.

[0375] The user selects a plan of interest from the presented options, and this selection information is sent to the server. The server automatically handles the associated booking process and sends booking completion information to the device. The device then notifies the user of the completion and provides detailed booking information.

[0376] For example, if a user expresses a desire for a "new experience" and the system recognizes that the user is "excited," the server can suggest booking an entertainment facility. An example of a prompt to the generating AI model in this case would be: "Suggest activities recommended when the user is feeling like enjoying a new experience. Generate the best suggestions taking into account sentiment analysis data and statistical profiles." Based on this prompt, the system can provide suggestions optimized for the user's emotions and desires.

[0377] The flow of a specific process in Application Example 2 will be explained using Figure 14.

[0378] Step 1:

[0379] The device acquires the user's voice and facial expressions in real time using a microphone and camera. The input consists of voice and image data, and based on this, it uses the EmotionAPI to analyze emotions and outputs the analyzed emotion data.

[0380] Step 2:

[0381] The device securely transmits acquired emotional data and basic user information (age, gender, region, hobbies, etc.) to the server. Input consists of emotional data from the EmotionAPI and user profile information, which are then packaged and output to the server.

[0382] Step 3:

[0383] The server uses the received sentiment data and user profile to access similar profiles in a database and generates an optimal holiday plan using a generative AI model. The input consists of sentiment data and profile data, and the prompt to the generative AI model is "Suggest activities that would be recommended when the user is feeling like enjoying a new experience." The output is a list of suggested holiday plans.

[0384] Step 4:

[0385] The server sends the generated holiday plans to the terminal. The terminal displays the plans to the user and allows them to select the one that interests them. The input is the holiday plans, the user selects the plan, and the output is the information of the selected plan.

[0386] Step 5:

[0387] The user confirms their selected plan and sends the selection information to the server via their device. The input is the user's selection information, which is then output to the server.

[0388] Step 6:

[0389] The server automatically initiates and confirms the reservation process based on the selected plan. The input is the selected plan information, and the reservation completion information is output through the reservation system.

[0390] Step 7:

[0391] The server sends reservation completion information to the terminal. The terminal notifies the user and displays the reservation completion notification and detailed information (date, time, location, confirmation number, etc.). The input is the reservation completion information, and the output is the notification information based on it.

[0392] 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 user input for the result of the specific processing. The control unit 46A transmits the audio data indicating user input acquired by the microphone 238 to the data processing unit 12. In the data processing unit 12, the specific processing unit 290 acquires the audio data.

[0393] Data generation model 58 is a type of so-called generative AI (Artificial Intelligence). One example of data generation model 58 is ChatGPT (Internet search<URL: https: / / openai.com / blog / chatgpt> ), Gemini (Internet search) <url: https: gemini.google.com ?hl="ja">Examples of generative AI include the following. The data generation model 58 is obtained by performing deep learning on a neural network. The data generation model 58 is input with prompts containing instructions, and with inference data such as audio data representing speech, text data representing text, and image data representing images. The data generation model 58 infers from the input inference data according to the instructions indicated by the prompts, and outputs the inference results in data formats such as audio data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization.

[0394] In the above embodiment, an example was given in which specific processing is performed by the data processing device 12, but the technology of this disclosure is not limited thereto, and the specific processing may also be performed by the smart glasses 214.

[0395] [Third Embodiment]

[0396] Figure 5 shows an example of the configuration of the data processing system 310 according to the third embodiment.

[0397] As shown in Figure 5, the data processing system 310 includes a data processing device 12 and a headset terminal 314. An example of the data processing device 12 is a server.

[0398] The data processing device 12 comprises a computer 22, a database 24, and a communication interface 26. The computer 22 is an example of a "computer" related to the technology of this disclosure. The computer 22 comprises a processor 28, RAM 30, and storage 32. The processor 28, RAM 30, and storage 32 are connected to a bus 34. The database 24 and the communication interface 26 are also connected to the bus 34. The communication interface 26 is connected to a network 54. An example of the network 54 is a WAN (Wide Area Network) and / or a LAN (Local Area Network).

[0399] The headset terminal 314 includes a computer 36, a microphone 238, a speaker 240, a camera 42, a communication interface 44, and a display 343. The computer 36 includes a processor 46, RAM 48, and storage 50. The processor 46, RAM 48, and storage 50 are connected to a bus 52. The microphone 238, speaker 240, camera 42, and display 343 are also connected to the bus 52.

[0400] The microphone 238 receives voice signals from the user 20 and receives instructions from the user 20. The microphone 238 captures the voice signals from the user 20, converts the captured voice into audio data, and outputs it to the processor 46. The speaker 240 outputs audio according to the instructions from the processor 46.

[0401] Camera 42 is a small digital camera equipped with an optical system including a lens, aperture, and shutter, and an image sensor such as a CMOS (Complementary Metal-Oxide-Semiconductor) image sensor or a CCD (Charge Coupled Device) image sensor, and captures images of the area around the user 20 (for example, an imaging range defined by a field of view equivalent to the width of a typical healthy person's field of vision).

[0402] Communication interface 44 is connected to network 54. Communication interfaces 44 and 26 are responsible for the exchange of various information between processor 46 and processor 28 via network 54. The exchange of various information between processor 46 and processor 28 using communication interfaces 44 and 26 is performed in a secure manner.

[0403] Figure 6 shows an example of the main functions of the data processing device 12 and the headset terminal 314. As shown in Figure 6, the data processing device 12 performs specific processing using the processor 28. The storage 32 stores the specific processing program 56.

[0404] The specific processing program 56 is an example of a "program" relating to the technology of this 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.

[0405] The storage 32 stores the data generation model 58 and the emotion identification model 59. The data generation model 58 and the emotion identification model 59 are used by the identification processing unit 290.

[0406] In the headset terminal 314, the processor 46 performs the reception output processing. The storage 50 stores the reception output program 60. 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 processing is realized by the processor 46 operating as a control unit 46A according to the reception output program 60 executed on the RAM 48.

[0407] Next, the specific processing performed by the specific processing unit 290 of the data processing device 12 will be described. In the following description, the data processing device 12 will be referred to as the "server" and the headset terminal 314 will be referred to as the "terminal".

[0408] This invention is a system that proposes individual holiday activities based on the diverse needs of users and automatically supports reservations for the selected activities. This system has a complex program structure that includes a server, a terminal, and an interface with user data.

[0409] The terminal provides a direct interface with the user, enabling the input of user profile information. The terminal displays a user interface (UI) for receiving basic information such as age, gender, region, and hobbies. The entered data is transmitted quickly and securely to the server.

[0410] The server analyzes the received information and compares it with the database. The database contains a variety of user profiles and historical statistical data, which the AI ​​agent uses to generate the most suitable holiday plan for the user. The generated plan includes content that takes into account the user's hobbies and interests, such as restaurant lunch reservations and outdoor activities.

[0411] The proposed plans are presented to the user via their device. The user selects the most suitable plan from those displayed, and the selection information is sent back to the server, automatically proceeding to the reservation process. The server interacts with the API of the designated reservation site and executes the reservation according to the user's selection.

[0412] Once the reservation is complete, the device will notify the user that the reservation is complete. The notification will include detailed reservation information, allowing the user to check and manage their schedule.

[0413] For example, if a user provides information such as "male in his 30s, lives in Tokyo, and enjoys trying out different restaurants," the server will suggest highly-rated restaurants in Tokyo and activities popular with such users. If the user chooses to dine at a restaurant, the server will then confirm the online reservation, and the device will notify the user of the reservation information.

[0414] This system allows users to quickly find a suitable holiday plan and implement it without any hassle.

[0415] The following describes the processing flow.

[0416] Step 1:

[0417] The terminal displays an interface for the user to input basic information. The user enters information such as age, gender, region, and hobbies, and sends it to the terminal.

[0418] Step 2:

[0419] The terminal sends the collected user information to the server. The server receives the data and begins analysis.

[0420] Step 3:

[0421] The server compares the received user information with its internal database to retrieve similar profiles and relevant historical statistics.

[0422] Step 4:

[0423] Based on the data acquired by the server's AI agent, multiple suggestions tailored to the user are generated. These suggestions may include, for example, activity and restaurant information aligned with the user's hobbies.

[0424] Step 5:

[0425] The server sends the generated proposals to the terminal. The terminal then displays multiple proposed plans to the user.

[0426] Step 6:

[0427] The user selects a plan of interest from the proposed plans. This selection information is sent to the server via the device.

[0428] Step 7:

[0429] The server checks if it is possible to book the relevant facilities and services based on the selected plan.

[0430] Step 8:

[0431] The server interacts with the reservation site's API and automatically completes the reservation process according to the user's selections.

[0432] Step 9:

[0433] After the reservation is complete, the server sends the details to the device. The device then displays a reservation completion notification and the details to the user.

[0434] (Example 1)

[0435] Next, we will describe Example 1. 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."

[0436] For today's busy users, suggesting and managing optimal holiday plans based on individual characteristics and preferences is a time-consuming process. In particular, providing suggestions that take into account the diverse interests of users and completing reservations quickly and efficiently has been a difficult challenge with traditional methods.

[0437] The identification process performed by the identification processing unit 290 of the data processing device 12 in Example 1 is realized by the following means.

[0438] In this invention, the server includes an information input means, a suggestion generation means, and a suggestion presentation means. This enables the generation of effective plans based on the user's characteristics and the smooth execution of reservations.

[0439] An "information input means" is an interface that has the function of receiving user characteristic information, encrypting it, and transmitting it.

[0440] The "proposal generation method" is a function that processes received user characteristic information using data analysis technology and creates optimal suggestions for the user using an artificial intelligence model.

[0441] A "proposal presentation method" is a display function that provides users with a visual representation of proposals generated from the server.

[0442] The "reservation execution method" is a function that automatically processes reservations based on proposals through integration with external services.

[0443] "Notification method" refers to a function that informs users in real time of the results of their reservations and provides them with information.

[0444] A "database" is a storage device within a system used to accumulate and manage user and past proposal data.

[0445] A "generation prompt" is input data that includes instructions used when generating proposals for an artificial intelligence model.

[0446] The system implementing this invention is primarily composed of three entities: a server, a terminal, and a user. The main technologies used within the system include a web application framework, database technology, encryption technology, artificial intelligence models, and API integration technology.

[0447] The server is at the core of this system. The server uses programming languages ​​such as Python to process the received user characteristic information. Flask and Django are used as web application frameworks. This allows for efficient information analysis and the activation of the suggestion generation mechanism. An artificial intelligence model is involved in suggestion generation, using a model like OpenAI to propose the optimal plan for the user. The database is built using PostgreSQL, storing historical user data and statistical data, and serving as a data source accessed by the AI ​​model. The AI ​​model generates optimized suggestions using generation prompts.

[0448] The terminal functions as a user interface, allowing users to input information and send it to the server. Built using HTML, CSS, and JavaScript, the terminal utilizes responsive design to ensure compatibility with various devices. It also visualizes and displays proposed plans, prompting users for confirmation and selection. Furthermore, encryption technology using the SSL / TLS protocol is employed to ensure communication security.

[0449] The user is a human being who operates this system. The user inputs information such as their age, gender, region, and hobbies through a terminal, and this information is sent to the server for analysis. After reviewing the proposed plans, the user can then select the plan that interests them most.

[0450] As a concrete example, suppose a user enters the information "male in his 30s, lives in Tokyo, hobby is eating out" into the device. This information is sent to the server, and the AI ​​model creates a prompt that says, "Please suggest a holiday plan for a man in his 30s to spend in Tokyo. His hobby is eating out," and generates an optimal plan. The server sends the generated result back to the device and displays a detailed plan on the screen. The user selects the appropriate option from the presented choices, and the reservation is automatically executed based on that selection.

[0451] This embodiment allows users to easily find a holiday plan that suits them and complete the procedures quickly.

[0452] The flow of the specific processing in Example 1 will be explained using Figure 11.

[0453] Step 1:

[0454] The user enters their profile information using their device. This information includes age, gender, region, and hobbies. The user provides this information through an HTML form on their device, which is validated in real time using JavaScript. This input data is then prepared to be sent to the server in a secure format.

[0455] Step 2:

[0456] The terminal encrypts the information entered by the user using the SSL / TLS protocol and sends it to the server as an HTTP request. This process ensures that user data is transferred securely over the network and is ready for analysis on the server side.

[0457] Step 3:

[0458] The server analyzes the received user information and performs data transformation and formatting using a Python data analysis library. Based on the formatted data, it performs calculations to generate prompts for the AI ​​model (generative AI model) and outputs them as "prompts." Based on these prompts, the AI ​​agent generates the optimal holiday plan.

[0459] Step 4:

[0460] The server structures the plan data generated using an AI model (e.g., a natural language processing model) into JSON format and sends it to the terminal. This generated plan includes activity and recommendation plans tailored to the user's individuality. The server optimizes the suggestions by referring to similar user data and statistics in the database.

[0461] Step 5:

[0462] The terminal visualizes the received plan data and displays it in the user interface. The user reviews the options from multiple plans and selects the one that interests them most. If a plan is selected, the terminal prepares to send the user's selection information to the server.

[0463] Step 6:

[0464] The server automates the reservation process by integrating with external service APIs based on the user's chosen plan. It uses the response returned by the API to check the reservation status and retries the process if necessary. This reservation execution translates the selected information into concrete actions that are then carried out.

[0465] Step 7:

[0466] The device notifies the user of the details of a successful booking and provides feedback. This notification may include email or push notification, informing the user of the confirmed booking information (date, time, location, etc.). This allows the user to incorporate it into their schedule and prepare to actually carry out their chosen plan.

[0467] (Application Example 1)

[0468] Next, we will explain Application Example 1. In the following explanation, 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."

[0469] In modern society, it is difficult to quickly find and execute appropriate holiday plans that suit individual preferences and circumstances. Furthermore, manual planning and booking are time-consuming and cumbersome, necessitating more efficient methods. Additionally, external factors (e.g., weather) that can affect the actual experience must be taken into consideration.

[0470] The specific processing performed by the specific processing unit 290 of the data processing device 12 in Application Example 1 is realized by the following means.

[0471] In this invention, the server includes means for collecting user characteristic information, means for generating suggestions based on geographic and environmental information, and means for reserving real-world facilities or activities based on the user's selection. This makes it possible to automatically suggest and execute a plan that is best suited to the user's individual preferences and circumstances.

[0472] "User characteristic information" refers to the user's age, gender, residential area, and interests, and is information that reflects the user's personality and preferences.

[0473] "Geographic information" refers to data about a user's current location and destination, which is obtained using location-based services.

[0474] "Environmental information" refers to information about external factors that users encounter when using the service, and includes data such as weather conditions, weather, and time of day.

[0475] "Means for generating proposals" refers to the processes and algorithms used to devise optimal plans and activities based on user input information and existing data.

[0476] "Real-world facilities or activities" refer to physical places or activities that users can actually visit, and include restaurants, activity facilities, and tourist attractions.

[0477] "Means of booking" refers to the processes and techniques used to ensure prior participation in or visit to proposed facilities or activities, based on the user's choice.

[0478] This invention is a system that proposes optimal real-world activities based on diverse information about the user. The system mainly consists of terminals and servers.

[0479] The device provides an interface for collecting characteristic information from users, such as age, gender, and residential area. It also acquires geographical information using the smartphone's location services. The collected information is securely transmitted to a server.

[0480] The server generates suggestions based on received feature and geographic information, referencing historical statistical data and similar user profiles in the database. Using a generation AI model, it derives the optimal holiday plan from the database and sends it to the user's device for presentation. Furthermore, it can optimize the plan by considering weather information obtained from a weather API.

[0481] When a user selects a destination and activity from the presented plans, the device sends the selection to the server, which uses a reservation API to make a reservation for the selected real-world facility or activity. The device is used to notify the user when the reservation is complete and to provide them with detailed information.

[0482] For example, if a user is a "male in his 30s living in Tokyo, with a temperature of 24°C and sunny weather," the server will suggest a cafe in Tokyo where users can enjoy nature. Furthermore, using a generative AI model, the specific prompt might be, "Please suggest recommended activities for a Tokyo resident in his 30s, taking weather and location information into consideration."

[0483] The flow of a specific process in Application Example 1 will be explained using Figure 12.

[0484] Step 1:

[0485] The device collects user characteristic information. Specifically, it prompts users to input their age, gender, residential area, and interests through the interface, and obtains their current location using location services. This information is treated as input data. As output, the collected information is sent to the server.

[0486] Step 2:

[0487] The server consults a database based on user characteristic information received from the terminal. Based on the characteristic information as input, it searches for similar profiles and historical statistical data, and uses a generative AI model to generate an optimal holiday plan. This plan is then output and sent to the terminal.

[0488] Step 3:

[0489] The terminal presents the user with plans received from the server. The terminal's display shows the details of the suggestions, allowing the user to select a plan they are interested in. The input is the plans from the server, and the output is the plan selected by the user.

[0490] Step 4:

[0491] The user selects a destination and activities from the presented plans. The device then sends the user's selections back to the server. The input is the user's selection, and the output is the transmission of the selection information to the server.

[0492] Step 5:

[0493] The server executes a reservation for a real-world facility or activity via a reservation API, based on the user's selection. Inputs include the user's selection information and the API interface. Output is reservation completion information, which is sent to the terminal.

[0494] Step 6:

[0495] The terminal receives reservation completion information from the server and notifies the user. Specifically, it displays the reservation details on the screen. The input is the reservation completion information from the server, and the output is the notification to the user.

[0496] Furthermore, an emotion engine that estimates the user's emotions may be incorporated. That is, the identification processing unit 290 may use the emotion identification model 59 to estimate the user's emotions and perform identification processing using the user's emotions.

[0497] This invention is a system that proposes ways for users to spend their holidays in a way that meets their diverse needs, and supports the comfortable and efficient booking and execution of those activities. The invention also features the use of an emotion engine to recognize the user's psychological state and provide more personalized suggestions.

[0498] The device provides a direct interface with the user, allowing for the input of basic information and the acquisition of emotional states. In addition to information on age, gender, region, and hobbies, the device is equipped with a user interface (UI) and sensors to read emotions from the user's voice and facial expressions. The acquired emotional information is securely transmitted to a server.

[0499] The server processes and analyzes user information sent from the terminal. The database stores diverse user profiles, statistical data, and historical emotional data, which the AI ​​agent uses to create the optimal holiday plan for the user. This proposal may include relaxing activities for those who want to relax and low-intensity exercises for those who want to be active, taking into account the user's emotional state obtained by the emotion engine.

[0500] The generated suggestions are presented to the user via their device. The user selects a plan that interests them from the presented options, and the booking process begins based on that selection. The selection information is sent to the server, and the booking is automatically arranged.

[0501] Once the reservation details are confirmed, the server sends completion information back to the terminal. The terminal then displays a reservation completion notification and detailed information (date, time, location, confirmation number, etc.) to the user.

[0502] For example, if a user provides information such as "female in her 20s, hobbies include yoga and watching movies, desires a relaxing holiday," and the analysis further identifies that she is "stressed," the server will offer suggestions including joining a yoga class or booking a reclining seat at a movie theater. This system allows users to easily enjoy refreshing methods tailored to their physical and mental state, enabling them to have a fulfilling holiday.

[0503] The following describes the processing flow.

[0504] Step 1:

[0505] The device displays an interface for the user to input and retrieve basic information and emotional state. The user inputs age, gender, region, and hobbies, and the device's sensors are used to retrieve emotional state from voice and facial expressions.

[0506] Step 2:

[0507] The device sends the basic information and emotional data it collects to the server. The server prepares the received data for analysis.

[0508] Step 3:

[0509] The server analyzes the user data it receives using an internal database. The database stores past sentiment data, similar user profiles, and statistical information, and the AI ​​agent refers to this data to generate suggestions tailored to the user.

[0510] Step 4:

[0511] Based on the emotional states collected by the server's AI agent, suggestions tailored to the user's psychology are generated. These suggestions include options such as relaxation, activity, and new experiences.

[0512] Step 5:

[0513] The server sends the generated suggestions to the terminal, which then displays them to the user. The user selects the plans they are interested in from the presented options.

[0514] Step 6:

[0515] The user's selection is sent to the server via the terminal, and the server prepares to execute the reservation based on the selected plan.

[0516] Step 7:

[0517] The server interacts with the booking site's API to automatically complete reservations for the necessary facilities and services according to the selected plan.

[0518] Step 8:

[0519] Once the reservation is complete, the server sends confirmation information to the device, and the device notifies the user of the details (date, time, location, usage conditions, etc.).

[0520] (Example 2)

[0521] Next, we will describe Example 2. 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."

[0522] There is a need for a system that can automatically suggest optimal plans that take into account individual hobbies and emotional states when users plan their holidays to be comfortable and efficient, and that can handle the entire process from planning to booking. In particular, current systems do not adequately provide suggestions based on the user's emotional state.

[0523] The identification process performed by the identification processing unit 290 of the data processing device 12 in Example 2 is realized by the following means.

[0524] In this invention, the server includes means for collecting user information, means for generating suggestions based on the information and the user's emotional state, and means for executing reservations based on the suggestions. This makes it possible to provide an optimal plan that takes into account the user's individual hobbies and emotional state, and to consistently make reservations based on that plan.

[0525] "Means for collecting user information" refers to a device or system consisting of a combination of interfaces and sensors for acquiring data from users regarding age, gender, region, hobbies, and emotional state.

[0526] "Means for generating suggestions" refers to algorithms and AI models that utilize information in a database, based on collected user information and emotional states, to generate the most suitable holiday plan for the user.

[0527] "Means of presenting proposals" refers to interfaces and display devices that visualize and provide users with holiday plans generated by the server.

[0528] "Method for executing a reservation" refers to the process of automatically arranging a reservation based on the plan selected by the user, in cooperation with a partner reservation system.

[0529] "Means of notification" refers to communication technologies and display means for conveying reservation completion information and its details to the user.

[0530] This invention is a system that provides users with customized holiday plans and efficiently supports them in making and executing reservations. Its specific form is shown below.

[0531] The terminal plays a crucial role in collecting information from users. Specifically, the hardware might include a display, touch panel, microphone, and camera. The software would incorporate voice recognition and facial recognition systems, implementing functions to analyze emotional states in real time from voice and facial expressions, in addition to basic information such as the user's age, gender, region, and hobbies. This information would be transmitted to the server via securely encrypted communication.

[0532] The server receives data sent from the terminal and performs analysis. This analysis utilizes a generative AI model to generate holiday plans tailored to the user's individual needs. This plan generation is based on similar user profiles, statistical data, and historical sentiment data stored in a database. The server is implemented on a cloud platform, providing scalable analytical capabilities.

[0533] The suggested holiday plans include specific examples such as "booking a yoga lesson" and "securing a reclining seat at the movie theater," which reflect the user's current mental state. An example of a prompt used during plan generation might be, "We want to develop an AI that suggests the best holiday plan for stress relief. How can it analyze the user's emotions and suggest activities?"

[0534] The user reviews the proposed plans through their device and selects the option that interests them. This selection is sent from the device to the server, and the reservation is automatically arranged. After the reservation is complete, the server sends the information back to the device and notifies the user as confirmation.

[0535] This allows users to easily plan activities that best suit their individual preferences and emotional state, enabling them to enjoy a satisfying holiday.

[0536] The flow of the specific processing in Example 2 will be explained using Figure 13.

[0537] Step 1:

[0538] The device collects basic user information and emotional state. Information entered by the user includes age, gender, region, and hobbies. The device also uses its microphone and camera to analyze emotional state from facial expressions and voice. This data is collected in real time, encrypted, and transmitted to the server.

[0539] Step 2:

[0540] The server analyzes user information and sentiment data received from the terminal. By comparing the input data with similar profiles and past sentiment data in the database, it generates the optimal holiday plan for the user. A generative AI model is used for this process, resulting in the output of a personalized suggested plan.

[0541] Step 3:

[0542] The server sends the generated holiday plan to the device. The device then presents this plan to the user, displaying visual information using an easy-to-understand UI such as a list format. This allows the user to visually review various options.

[0543] Step 4:

[0544] The user selects the plan they are interested in from the presented options. Based on this selection, this information is sent from the device to the server. The selected data entered at this time includes specific activities and preferred dates and times.

[0545] Step 5:

[0546] The server receives the user's selections and automatically integrates with the reservation system. It then processes the reservation with the partner for the selected activity. The output here is the reservation confirmation information.

[0547] Step 6:

[0548] Once a reservation is complete, the server sends confirmation information back to the terminal. The terminal then notifies the user of the reservation completion and displays detailed information such as the date, time, location, and confirmation number. This allows the user to easily understand their reservation details on their device.

[0549] (Application Example 2)

[0550] Next, we will explain application example 2. In the following explanation, 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."

[0551] Traditionally, holiday plans for users have often been provided without adequately considering their individual preferences or psychological state, resulting in low user satisfaction. Furthermore, the lack of appropriate suggestions tailored to the user's emotions has led to a problem of consistently low-quality suggestions. This invention aims to improve user satisfaction by providing more personalized suggestions using emotion analysis.

[0552] The specific processing performed by the specific processing unit 290 of the data processing device 12 in Application Example 2 is realized by the following means.

[0553] In this invention, the server includes information gathering means for collecting user information, suggestion generation means for generating suggestions based on the information, and emotion analysis means for recognizing the user's psychological state. This makes it possible to present an optimal holiday plan that is personalized based on the user's individual emotional state.

[0554] "Information gathering means" refers to a mechanism that includes interfaces and sensors for detecting the user's basic information and psychological state.

[0555] "Proposal generation means" refers to the algorithms and processes used to construct optimal proposals for users based on collected data.

[0556] A "proposal presentation means" is an interface such as a display or audio device that provides the generated proposal to the user in a visualized form.

[0557] A "reservation execution method" is a system that automatically arranges necessary reservations based on the user's selection and the proposed content.

[0558] "Notification methods" refer to the processes and devices used to communicate completed reservation information to users, and primarily include text messages and app notification functions.

[0559] "Emotional analysis tools" refer to software and algorithms that analyze a user's psychological state from their voice and facial expressions to identify their internal emotions.

[0560] A "proposal revision mechanism" is a process that includes a function to adjust the generated proposal more appropriately based on data obtained from sentiment analysis mechanisms.

[0561] The system necessary to implement this invention consists of a series of processes that collect user information, perform sentiment analysis, generate and present suggestions, and execute reservations as needed. The main hardware used is a terminal that directly interfaces with the user and is equipped with a microphone and camera for speech recognition and facial expression analysis. The software includes an API for sentiment analysis (e.g., EmotionAPI) and a server for processing data in the backend.

[0562] The server receives basic user information and sentiment data sent from the device, and uses its database and AI agent to generate the optimal holiday plan for the user. The server sends this plan back to the device, which then presents the suggestion to the user.

[0563] The user selects a plan of interest from the presented options, and this selection information is sent to the server. The server automatically handles the associated booking process and sends booking completion information to the device. The device then notifies the user of the completion and provides detailed booking information.

[0564] For example, if a user expresses a desire for a "new experience" and the system recognizes that the user is "excited," the server can suggest booking an entertainment facility. An example of a prompt to the generating AI model in this case would be: "Suggest activities recommended when the user is feeling like enjoying a new experience. Generate the best suggestions taking into account sentiment analysis data and statistical profiles." Based on this prompt, the system can provide suggestions optimized for the user's emotions and desires.

[0565] The flow of a specific process in Application Example 2 will be explained using Figure 14.

[0566] Step 1:

[0567] The device acquires the user's voice and facial expressions in real time using a microphone and camera. The input consists of voice and image data, and based on this, it uses the EmotionAPI to analyze emotions and outputs the analyzed emotion data.

[0568] Step 2:

[0569] The device securely transmits acquired emotional data and basic user information (age, gender, region, hobbies, etc.) to the server. Input consists of emotional data from the EmotionAPI and user profile information, which are then packaged and output to the server.

[0570] Step 3:

[0571] The server uses the received sentiment data and user profile to access similar profiles in a database and generates an optimal holiday plan using a generative AI model. The input consists of sentiment data and profile data, and the prompt to the generative AI model is "Suggest activities that would be recommended when the user is feeling like enjoying a new experience." The output is a list of suggested holiday plans.

[0572] Step 4:

[0573] The server sends the generated holiday plans to the terminal. The terminal displays the plans to the user and allows them to select the one that interests them. The input is the holiday plans, the user selects the plan, and the output is the information of the selected plan.

[0574] Step 5:

[0575] The user confirms their selected plan and sends the selection information to the server via their device. The input is the user's selection information, which is then output to the server.

[0576] Step 6:

[0577] The server automatically initiates and confirms the reservation process based on the selected plan. The input is the selected plan information, and the reservation completion information is output through the reservation system.

[0578] Step 7:

[0579] The server sends reservation completion information to the terminal. The terminal notifies the user and displays the reservation completion notification and detailed information (date, time, location, confirmation number, etc.). The input is the reservation completion information, and the output is the notification information based on it.

[0580] The specific processing unit 290 transmits the result of the specific processing to the headset terminal 314. In the headset terminal 314, the control unit 46A causes the speaker 240 and display 343 to output the result of the specific processing. The microphone 238 acquires audio indicating user input for the result of the specific processing. The control unit 46A transmits the audio data indicating user input acquired by the microphone 238 to the data processing unit 12. In the data processing unit 12, the specific processing unit 290 acquires the audio data.

[0581] Data generation model 58 is a type of so-called generative AI (Artificial Intelligence). One example of data generation model 58 is ChatGPT (Internet search<URL: https: / / openai.com / blog / chatgpt> ), Gemini (Internet search) <url: https: gemini.google.com ?hl="ja">Examples of generative AI include the following. The data generation model 58 is obtained by performing deep learning on a neural network. The data generation model 58 is input with prompts containing instructions, and with inference data such as audio data representing speech, text data representing text, and image data representing images. The data generation model 58 infers from the input inference data according to the instructions indicated by the prompts, and outputs the inference results in data formats such as audio data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization.

[0582] In the above embodiment, an example was given in which specific processing is performed by the data processing device 12, but the technology of this disclosure is not limited thereto, and specific processing may also be performed by the headset terminal 314.

[0583] [Fourth Embodiment]

[0584] Figure 7 shows an example of the configuration of the data processing system 410 according to the fourth embodiment.

[0585] As shown in Figure 7, the 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.

[0586] The data processing device 12 comprises a computer 22, a database 24, and a communication interface 26. The computer 22 is an example of a "computer" related to the technology of this disclosure. The computer 22 comprises a processor 28, RAM 30, and storage 32. The processor 28, RAM 30, and storage 32 are connected to a bus 34. The database 24 and the communication interface 26 are also connected to the bus 34. The communication interface 26 is connected to a network 54. An example of the network 54 is a WAN (Wide Area Network) and / or a LAN (Local Area Network).

[0587] The robot 414 includes a computer 36, a microphone 238, a speaker 240, a camera 42, a communication interface 44, and a controlled object 443. The computer 36 includes a processor 46, RAM 48, and storage 50. The processor 46, RAM 48, and storage 50 are connected to a bus 52. The microphone 238, speaker 240, camera 42, and controlled object 443 are also connected to the bus 52.

[0588] The microphone 238 receives voice signals from the user 20 and receives instructions from the user 20. The microphone 238 captures the voice signals from the user 20, converts the captured voice into audio data, and outputs it to the processor 46. The speaker 240 outputs audio according to the instructions from the processor 46.

[0589] Camera 42 is a small digital camera equipped with an optical system including a lens, aperture, and shutter, and an image sensor such as a CMOS (Complementary Metal-Oxide-Semiconductor) image sensor or a CCD (Charge Coupled Device) image sensor, and captures images of the area around the user 20 (for example, an imaging range defined by a field of view equivalent to the width of a typical healthy person's field of vision).

[0590] Communication interface 44 is connected to network 54. Communication interfaces 44 and 26 are responsible for the exchange of various information between processor 46 and processor 28 via network 54. The exchange of various information between processor 46 and processor 28 using communication interfaces 44 and 26 is performed in a secure manner.

[0591] The controlled object 443 includes a display device, LEDs in the eyes, and motors that drive 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 robot 414's emotions can be expressed by controlling these motors. Furthermore, the robot 414's facial expressions can also be expressed by controlling the illumination state of the LEDs in its eyes.

[0592] Figure 8 shows an example of the main functions of the data processing device 12 and the robot 414. As shown in Figure 8, the data processing device 12 performs specific processing using the processor 28. The storage 32 stores the specific processing program 56.

[0593] The specific processing program 56 is an example of a "program" relating to the technology of this 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.

[0594] The storage 32 stores the data generation model 58 and the emotion identification model 59. The data generation model 58 and the emotion identification model 59 are used by the identification processing unit 290.

[0595] In robot 414, the processor 46 performs the reception output processing. The storage 50 stores the reception output program 60. 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 processing is realized by the processor 46 operating as a control unit 46A according to the reception output program 60 executed on the RAM 48.

[0596] Next, the specific processing performed by the specific processing unit 290 of the data processing device 12 will be described. In the following description, the data processing device 12 will be referred to as the "server" and the robot 414 as the "terminal".

[0597] This invention is a system that proposes individual holiday activities based on the diverse needs of users and automatically supports reservations for the selected activities. This system has a complex program structure that includes a server, a terminal, and an interface with user data.

[0598] The terminal provides a direct interface with the user, enabling the input of user profile information. The terminal displays a user interface (UI) for receiving basic information such as age, gender, region, and hobbies. The entered data is transmitted quickly and securely to the server.

[0599] The server analyzes the received information and compares it with the database. The database contains a variety of user profiles and historical statistical data, which the AI ​​agent uses to generate the most suitable holiday plan for the user. The generated plan includes content that takes into account the user's hobbies and interests, such as restaurant lunch reservations and outdoor activities.

[0600] The proposed plans are presented to the user via their device. The user selects the most suitable plan from those displayed, and the selection information is sent back to the server, automatically proceeding to the reservation process. The server interacts with the API of the designated reservation site and executes the reservation according to the user's selection.

[0601] Once the reservation is complete, the device will notify the user that the reservation is complete. The notification will include detailed reservation information, allowing the user to check and manage their schedule.

[0602] For example, if a user provides information such as "male in his 30s, lives in Tokyo, and enjoys trying out different restaurants," the server will suggest highly-rated restaurants in Tokyo and activities popular with such users. If the user chooses to dine at a restaurant, the server will then confirm the online reservation, and the device will notify the user of the reservation information.

[0603] This system allows users to quickly find a suitable holiday plan and implement it without any hassle.

[0604] The following describes the processing flow.

[0605] Step 1:

[0606] The terminal displays an interface for the user to input basic information. The user enters information such as age, gender, region, and hobbies, and sends it to the terminal.

[0607] Step 2:

[0608] The terminal sends the collected user information to the server. The server receives the data and begins analysis.

[0609] Step 3:

[0610] The server compares the received user information with its internal database to retrieve similar profiles and relevant historical statistics.

[0611] Step 4:

[0612] Based on the data acquired by the server's AI agent, multiple suggestions tailored to the user are generated. These suggestions may include, for example, activity and restaurant information aligned with the user's hobbies.

[0613] Step 5:

[0614] The server sends the generated proposals to the terminal. The terminal then displays multiple proposed plans to the user.

[0615] Step 6:

[0616] The user selects a plan of interest from the proposed plans. This selection information is sent to the server via the device.

[0617] Step 7:

[0618] The server checks if it is possible to book the relevant facilities and services based on the selected plan.

[0619] Step 8:

[0620] The server interacts with the reservation site's API and automatically completes the reservation process according to the user's selections.

[0621] Step 9:

[0622] After the reservation is complete, the server sends the details to the device. The device then displays a reservation completion notification and the details to the user.

[0623] (Example 1)

[0624] Next, we will describe Example 1. In the following description, the data processing device 12 will be referred to as the "server" and the robot 414 as the "terminal".

[0625] For today's busy users, suggesting and managing optimal holiday plans based on individual characteristics and preferences is a time-consuming process. In particular, providing suggestions that take into account the diverse interests of users and completing reservations quickly and efficiently has been a difficult challenge with traditional methods.

[0626] The identification process performed by the identification processing unit 290 of the data processing device 12 in Example 1 is realized by the following means.

[0627] In this invention, the server includes an information input means, a suggestion generation means, and a suggestion presentation means. This enables the generation of effective plans based on the user's characteristics and the smooth execution of reservations.

[0628] An "information input means" is an interface that has the function of receiving user characteristic information, encrypting it, and transmitting it.

[0629] The "proposal generation method" is a function that processes received user characteristic information using data analysis technology and creates optimal suggestions for the user using an artificial intelligence model.

[0630] A "proposal presentation method" is a display function that provides users with a visual representation of proposals generated from the server.

[0631] The "reservation execution method" is a function that automatically processes reservations based on proposals through integration with external services.

[0632] "Notification method" refers to a function that informs users in real time of the results of their reservations and provides them with information.

[0633] A "database" is a storage device within a system used to accumulate and manage user and past proposal data.

[0634] A "generation prompt" is input data that includes instructions used when generating proposals for an artificial intelligence model.

[0635] The system implementing this invention is primarily composed of three entities: a server, a terminal, and a user. The main technologies used within the system include a web application framework, database technology, encryption technology, artificial intelligence models, and API integration technology.

[0636] The server is at the core of this system. The server uses programming languages ​​such as Python to process the received user characteristic information. Flask and Django are used as web application frameworks. This allows for efficient information analysis and the activation of the suggestion generation mechanism. An artificial intelligence model is involved in suggestion generation, using a model like OpenAI to propose the optimal plan for the user. The database is built using PostgreSQL, storing historical user data and statistical data, and serving as a data source accessed by the AI ​​model. The AI ​​model generates optimized suggestions using generation prompts.

[0637] The terminal functions as a user interface, allowing users to input information and send it to the server. Built using HTML, CSS, and JavaScript, the terminal utilizes responsive design to ensure compatibility with various devices. It also visualizes and displays proposed plans, prompting users for confirmation and selection. Furthermore, encryption technology using the SSL / TLS protocol is employed to ensure communication security.

[0638] The user is a human being who operates this system. The user inputs information such as their age, gender, region, and hobbies through a terminal, and this information is sent to the server for analysis. After reviewing the proposed plans, the user can then select the plan that interests them most.

[0639] As a concrete example, suppose a user enters the information "male in his 30s, lives in Tokyo, hobby is eating out" into the device. This information is sent to the server, and the AI ​​model creates a prompt that says, "Please suggest a holiday plan for a man in his 30s to spend in Tokyo. His hobby is eating out," and generates an optimal plan. The server sends the generated result back to the device and displays a detailed plan on the screen. The user selects the appropriate option from the presented choices, and the reservation is automatically executed based on that selection.

[0640] This embodiment allows users to easily find a holiday plan that suits them and complete the procedures quickly.

[0641] The flow of the specific processing in Example 1 will be explained using Figure 11.

[0642] Step 1:

[0643] The user enters their profile information using their device. This information includes age, gender, region, and hobbies. The user provides this information through an HTML form on their device, which is validated in real time using JavaScript. This input data is then prepared to be sent to the server in a secure format.

[0644] Step 2:

[0645] The terminal encrypts the information entered by the user using the SSL / TLS protocol and sends it to the server as an HTTP request. This process ensures that user data is transferred securely over the network and is ready for analysis on the server side.

[0646] Step 3:

[0647] The server analyzes the received user information and performs data transformation and formatting using a Python data analysis library. Based on the formatted data, it performs calculations to generate prompts for the AI ​​model (generative AI model) and outputs them as "prompts." Based on these prompts, the AI ​​agent generates the optimal holiday plan.

[0648] Step 4:

[0649] The server structures the plan data generated using an AI model (e.g., a natural language processing model) into JSON format and sends it to the terminal. This generated plan includes activity and recommendation plans tailored to the user's individuality. The server optimizes the suggestions by referring to similar user data and statistics in the database.

[0650] Step 5:

[0651] The terminal visualizes the received plan data and displays it in the user interface. The user reviews the options from multiple plans and selects the one that interests them most. If a plan is selected, the terminal prepares to send the user's selection information to the server.

[0652] Step 6:

[0653] The server automates the reservation process by integrating with external service APIs based on the user's chosen plan. It uses the response returned by the API to check the reservation status and retries the process if necessary. This reservation execution translates the selected information into concrete actions that are then carried out.

[0654] Step 7:

[0655] The device notifies the user of the details of a successful booking and provides feedback. This notification may include email or push notification, informing the user of the confirmed booking information (date, time, location, etc.). This allows the user to incorporate it into their schedule and prepare to actually carry out their chosen plan.

[0656] (Application Example 1)

[0657] Next, we will explain Application Example 1. In the following explanation, the data processing device 12 will be referred to as the "server" and the robot 414 as the "terminal".

[0658] In modern society, it is difficult to quickly find and execute appropriate holiday plans that suit individual preferences and circumstances. Furthermore, manual planning and booking are time-consuming and cumbersome, necessitating more efficient methods. Additionally, external factors (e.g., weather) that can affect the actual experience must be taken into consideration.

[0659] The specific processing performed by the specific processing unit 290 of the data processing device 12 in Application Example 1 is realized by the following means.

[0660] In this invention, the server includes means for collecting user characteristic information, means for generating suggestions based on geographic and environmental information, and means for reserving real-world facilities or activities based on the user's selection. This makes it possible to automatically suggest and execute a plan that is best suited to the user's individual preferences and circumstances.

[0661] "User characteristic information" refers to the user's age, gender, residential area, and interests, and is information that reflects the user's personality and preferences.

[0662] "Geographic information" refers to data about a user's current location and destination, which is obtained using location-based services.

[0663] "Environmental information" refers to information about external factors that users encounter when using the service, and includes data such as weather conditions, weather, and time of day.

[0664] "Means for generating proposals" refers to the processes and algorithms used to devise optimal plans and activities based on user input information and existing data.

[0665] "Real-world facilities or activities" refer to physical places or activities that users can actually visit, and include restaurants, activity facilities, and tourist attractions.

[0666] "Means of booking" refers to the processes and techniques used to ensure prior participation in or visit to proposed facilities or activities, based on the user's choice.

[0667] This invention is a system that proposes optimal real-world activities based on diverse information about the user. The system mainly consists of terminals and servers.

[0668] The device provides an interface for collecting characteristic information from users, such as age, gender, and residential area. It also acquires geographical information using the smartphone's location services. The collected information is securely transmitted to a server.

[0669] The server generates suggestions based on received feature and geographic information, referencing historical statistical data and similar user profiles in the database. Using a generation AI model, it derives the optimal holiday plan from the database and sends it to the user's device for presentation. Furthermore, it can optimize the plan by considering weather information obtained from a weather API.

[0670] When a user selects a destination and activity from the presented plans, the device sends the selection to the server, which uses a reservation API to make a reservation for the selected real-world facility or activity. The device is used to notify the user when the reservation is complete and to provide them with detailed information.

[0671] For example, if a user is a "male in his 30s living in Tokyo, with a temperature of 24°C and sunny weather," the server will suggest a cafe in Tokyo where users can enjoy nature. Furthermore, using a generative AI model, the specific prompt might be, "Please suggest recommended activities for a Tokyo resident in his 30s, taking weather and location information into consideration."

[0672] The flow of a specific process in Application Example 1 will be explained using Figure 12.

[0673] Step 1:

[0674] The device collects user characteristic information. Specifically, it prompts users to input their age, gender, residential area, and interests through the interface, and obtains their current location using location services. This information is treated as input data. As output, the collected information is sent to the server.

[0675] Step 2:

[0676] The server consults a database based on user characteristic information received from the terminal. Based on the characteristic information as input, it searches for similar profiles and historical statistical data, and uses a generative AI model to generate an optimal holiday plan. This plan is then output and sent to the terminal.

[0677] Step 3:

[0678] The terminal presents the user with plans received from the server. The terminal's display shows the details of the suggestions, allowing the user to select a plan they are interested in. The input is the plans from the server, and the output is the plan selected by the user.

[0679] Step 4:

[0680] The user selects a destination and activities from the presented plans. The device then sends the user's selections back to the server. The input is the user's selection, and the output is the transmission of the selection information to the server.

[0681] Step 5:

[0682] The server executes a reservation for a real-world facility or activity via a reservation API, based on the user's selection. Inputs include the user's selection information and the API interface. Output is reservation completion information, which is sent to the terminal.

[0683] Step 6:

[0684] The terminal receives reservation completion information from the server and notifies the user. Specifically, it displays the reservation details on the screen. The input is the reservation completion information from the server, and the output is the notification to the user.

[0685] Furthermore, an emotion engine that estimates the user's emotions may be incorporated. That is, the identification processing unit 290 may use the emotion identification model 59 to estimate the user's emotions and perform identification processing using the user's emotions.

[0686] This invention is a system that proposes ways for users to spend their holidays in a way that meets their diverse needs, and supports the comfortable and efficient booking and execution of those activities. The invention also features the use of an emotion engine to recognize the user's psychological state and provide more personalized suggestions.

[0687] The device provides a direct interface with the user, allowing for the input of basic information and the acquisition of emotional states. In addition to information on age, gender, region, and hobbies, the device is equipped with a user interface (UI) and sensors to read emotions from the user's voice and facial expressions. The acquired emotional information is securely transmitted to a server.

[0688] The server processes and analyzes user information sent from the terminal. The database stores diverse user profiles, statistical data, and historical emotional data, which the AI ​​agent uses to create the optimal holiday plan for the user. This proposal may include relaxing activities for those who want to relax and low-intensity exercises for those who want to be active, taking into account the user's emotional state obtained by the emotion engine.

[0689] The generated suggestions are presented to the user via their device. The user selects a plan that interests them from the presented options, and the booking process begins based on that selection. The selection information is sent to the server, and the booking is automatically arranged.

[0690] Once the reservation details are confirmed, the server sends completion information back to the terminal. The terminal then displays a reservation completion notification and detailed information (date, time, location, confirmation number, etc.) to the user.

[0691] For example, if a user provides information such as "female in her 20s, hobbies include yoga and watching movies, desires a relaxing holiday," and the analysis further identifies that she is "stressed," the server will offer suggestions including joining a yoga class or booking a reclining seat at a movie theater. This system allows users to easily enjoy refreshing methods tailored to their physical and mental state, enabling them to have a fulfilling holiday.

[0692] The following describes the processing flow.

[0693] Step 1:

[0694] The device displays an interface for the user to input and retrieve basic information and emotional state. The user inputs age, gender, region, and hobbies, and the device's sensors are used to retrieve emotional state from voice and facial expressions.

[0695] Step 2:

[0696] The device sends the basic information and emotional data it collects to the server. The server prepares the received data for analysis.

[0697] Step 3:

[0698] The server analyzes the user data it receives using an internal database. The database stores past sentiment data, similar user profiles, and statistical information, and the AI ​​agent refers to this data to generate suggestions tailored to the user.

[0699] Step 4:

[0700] Based on the emotional states collected by the server's AI agent, suggestions tailored to the user's psychology are generated. These suggestions include options such as relaxation, activity, and new experiences.

[0701] Step 5:

[0702] The server sends the generated suggestions to the terminal, which then displays them to the user. The user selects the plans they are interested in from the presented options.

[0703] Step 6:

[0704] The user's selection is sent to the server via the terminal, and the server prepares to execute the reservation based on the selected plan.

[0705] Step 7:

[0706] The server interacts with the booking site's API to automatically complete reservations for the necessary facilities and services according to the selected plan.

[0707] Step 8:

[0708] Once the reservation is complete, the server sends confirmation information to the device, and the device notifies the user of the details (date, time, location, usage conditions, etc.).

[0709] (Example 2)

[0710] Next, we will describe Example 2. In the following description, the data processing device 12 will be referred to as the "server" and the robot 414 as the "terminal".

[0711] There is a need for a system that can automatically suggest optimal plans that take into account individual hobbies and emotional states when users plan their holidays to be comfortable and efficient, and that can handle the entire process from planning to booking. In particular, current systems do not adequately provide suggestions based on the user's emotional state.

[0712] The identification process performed by the identification processing unit 290 of the data processing device 12 in Example 2 is realized by the following means.

[0713] In this invention, the server includes means for collecting user information, means for generating suggestions based on the information and the user's emotional state, and means for executing reservations based on the suggestions. This makes it possible to provide an optimal plan that takes into account the user's individual hobbies and emotional state, and to consistently make reservations based on that plan.

[0714] "Means for collecting user information" refers to a device or system consisting of a combination of interfaces and sensors for acquiring data from users regarding age, gender, region, hobbies, and emotional state.

[0715] "Means for generating suggestions" refers to algorithms and AI models that utilize information in a database, based on collected user information and emotional states, to generate the most suitable holiday plan for the user.

[0716] "Means of presenting proposals" refers to interfaces and display devices that visualize and provide users with holiday plans generated by the server.

[0717] "Method for executing a reservation" refers to the process of automatically arranging a reservation based on the plan selected by the user, in cooperation with a partner reservation system.

[0718] "Means of notification" refers to communication technologies and display means for conveying reservation completion information and its details to the user.

[0719] This invention is a system that provides users with customized holiday plans and efficiently supports them in making and executing reservations. Its specific form is shown below.

[0720] The terminal plays a crucial role in collecting information from users. Specifically, the hardware might include a display, touch panel, microphone, and camera. The software would incorporate voice recognition and facial recognition systems, implementing functions to analyze emotional states in real time from voice and facial expressions, in addition to basic information such as the user's age, gender, region, and hobbies. This information would be transmitted to the server via securely encrypted communication.

[0721] The server receives data sent from the terminal and performs analysis. This analysis utilizes a generative AI model to generate holiday plans tailored to the user's individual needs. This plan generation is based on similar user profiles, statistical data, and historical sentiment data stored in a database. The server is implemented on a cloud platform, providing scalable analytical capabilities.

[0722] The suggested holiday plans include specific examples such as "booking a yoga lesson" and "securing a reclining seat at the movie theater," which reflect the user's current mental state. An example of a prompt used during plan generation might be, "We want to develop an AI that suggests the best holiday plan for stress relief. How can it analyze the user's emotions and suggest activities?"

[0723] The user reviews the proposed plans through their device and selects the option that interests them. This selection is sent from the device to the server, and the reservation is automatically arranged. After the reservation is complete, the server sends the information back to the device and notifies the user as confirmation.

[0724] This allows users to easily plan activities that best suit their individual preferences and emotional state, enabling them to enjoy a satisfying holiday.

[0725] The flow of the specific processing in Example 2 will be explained using Figure 13.

[0726] Step 1:

[0727] The device collects basic user information and emotional state. Information entered by the user includes age, gender, region, and hobbies. The device also uses its microphone and camera to analyze emotional state from facial expressions and voice. This data is collected in real time, encrypted, and transmitted to the server.

[0728] Step 2:

[0729] The server analyzes user information and sentiment data received from the terminal. By comparing the input data with similar profiles and past sentiment data in the database, it generates the optimal holiday plan for the user. A generative AI model is used for this process, resulting in the output of a personalized suggested plan.

[0730] Step 3:

[0731] The server sends the generated holiday plan to the device. The device then presents this plan to the user, displaying visual information using an easy-to-understand UI such as a list format. This allows the user to visually review various options.

[0732] Step 4:

[0733] The user selects the plan they are interested in from the presented options. Based on this selection, this information is sent from the device to the server. The selected data entered at this time includes specific activities and preferred dates and times.

[0734] Step 5:

[0735] The server receives the user's selections and automatically integrates with the reservation system. It then processes the reservation with the partner for the selected activity. The output here is the reservation confirmation information.

[0736] Step 6:

[0737] Once a reservation is complete, the server sends confirmation information back to the terminal. The terminal then notifies the user of the reservation completion and displays detailed information such as the date, time, location, and confirmation number. This allows the user to easily understand their reservation details on their device.

[0738] (Application Example 2)

[0739] Next, we will explain application example 2. In the following explanation, the data processing device 12 will be referred to as the "server" and the robot 414 as the "terminal".

[0740] Traditionally, holiday plans for users have often been provided without adequately considering their individual preferences or psychological state, resulting in low user satisfaction. Furthermore, the lack of appropriate suggestions tailored to the user's emotions has led to a problem of consistently low-quality suggestions. This invention aims to improve user satisfaction by providing more personalized suggestions using emotion analysis.

[0741] The specific processing performed by the specific processing unit 290 of the data processing device 12 in Application Example 2 is realized by the following means.

[0742] In this invention, the server includes information gathering means for collecting user information, suggestion generation means for generating suggestions based on the information, and emotion analysis means for recognizing the user's psychological state. This makes it possible to present an optimal holiday plan that is personalized based on the user's individual emotional state.

[0743] "Information gathering means" refers to a mechanism that includes interfaces and sensors for detecting the user's basic information and psychological state.

[0744] "Proposal generation means" refers to the algorithms and processes used to construct optimal proposals for users based on collected data.

[0745] A "proposal presentation means" is an interface such as a display or audio device that provides the generated proposal to the user in a visualized form.

[0746] A "reservation execution method" is a system that automatically arranges necessary reservations based on the user's selection and the proposed content.

[0747] "Notification methods" refer to the processes and devices used to communicate completed reservation information to users, and primarily include text messages and app notification functions.

[0748] "Emotional analysis tools" refer to software and algorithms that analyze a user's psychological state from their voice and facial expressions to identify their internal emotions.

[0749] A "proposal revision mechanism" is a process that includes a function to adjust the generated proposal more appropriately based on data obtained from sentiment analysis mechanisms.

[0750] The system necessary to implement this invention consists of a series of processes that collect user information, perform sentiment analysis, generate and present suggestions, and execute reservations as needed. The main hardware used is a terminal that directly interfaces with the user and is equipped with a microphone and camera for speech recognition and facial expression analysis. The software includes an API for sentiment analysis (e.g., EmotionAPI) and a server for processing data in the backend.

[0751] The server receives basic user information and sentiment data sent from the device, and uses its database and AI agent to generate the optimal holiday plan for the user. The server sends this plan back to the device, which then presents the suggestion to the user.

[0752] The user selects a plan of interest from the presented options, and this selection information is sent to the server. The server automatically handles the associated booking process and sends booking completion information to the device. The device then notifies the user of the completion and provides detailed booking information.

[0753] For example, if a user expresses a desire for a "new experience" and the system recognizes that the user is "excited," the server can suggest booking an entertainment facility. An example of a prompt to the generating AI model in this case would be: "Suggest activities recommended when the user is feeling like enjoying a new experience. Generate the best suggestions taking into account sentiment analysis data and statistical profiles." Based on this prompt, the system can provide suggestions optimized for the user's emotions and desires.

[0754] The flow of a specific process in Application Example 2 will be explained using Figure 14.

[0755] Step 1:

[0756] The device acquires the user's voice and facial expressions in real time using a microphone and camera. The input consists of voice and image data, and based on this, it uses the EmotionAPI to analyze emotions and outputs the analyzed emotion data.

[0757] Step 2:

[0758] The device securely transmits acquired emotional data and basic user information (age, gender, region, hobbies, etc.) to the server. Input consists of emotional data from the EmotionAPI and user profile information, which are then packaged and output to the server.

[0759] Step 3:

[0760] The server uses the received sentiment data and user profile to access similar profiles in a database and generates an optimal holiday plan using a generative AI model. The input consists of sentiment data and profile data, and the prompt to the generative AI model is "Suggest activities that would be recommended when the user is feeling like enjoying a new experience." The output is a list of suggested holiday plans.

[0761] Step 4:

[0762] The server sends the generated holiday plans to the terminal. The terminal displays the plans to the user and allows them to select the one that interests them. The input is the holiday plans, the user selects the plan, and the output is the information of the selected plan.

[0763] Step 5:

[0764] The user confirms their selected plan and sends the selection information to the server via their device. The input is the user's selection information, which is then output to the server.

[0765] Step 6:

[0766] The server automatically initiates and confirms the reservation process based on the selected plan. The input is the selected plan information, and the reservation completion information is output through the reservation system.

[0767] Step 7:

[0768] The server sends reservation completion information to the terminal. The terminal notifies the user and displays the reservation completion notification and detailed information (date, time, location, confirmation number, etc.). The input is the reservation completion information, and the output is the notification information based on it.

[0769] 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 controlled object 443 to output the result of the specific processing. The microphone 238 acquires audio indicating user input for the result of the specific processing. The control unit 46A transmits the audio data indicating user input acquired by the microphone 238 to the data processing unit 12. In the data processing unit 12, the specific processing unit 290 acquires the audio data.

[0770] Data generation model 58 is a type of so-called generative AI (Artificial Intelligence). One example of data generation model 58 is ChatGPT (Internet search<URL: https: / / openai.com / blog / chatgpt> ), Gemini (Internet search) <url: https: gemini.google.com ?hl="ja">Examples of generative AI include the following. The data generation model 58 is obtained by performing deep learning on a neural network. The data generation model 58 is input with prompts containing instructions, and with inference data such as audio data representing speech, text data representing text, and image data representing images. The data generation model 58 infers from the input inference data according to the instructions indicated by the prompts, and outputs the inference results in data formats such as audio data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization.

[0771] 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 this disclosure is not limited thereto, and the specific processing may also be performed by the robot 414.

[0772] Furthermore, the emotion identification model 59, acting 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 a specific mapping, which is an emotion map (see Figure 9). Similarly, the emotion identification model 59 may also determine the robot's emotion, and the identification processing unit 290 may perform identification processing using the robot's emotion.

[0773] Figure 9 shows an emotion map 400 in which multiple emotions are mapped. In the emotion map 400, emotions are arranged in concentric circles radiating from the center. The closer to the center of the concentric circles, the more primitive the emotions are located. Further out of the concentric circles, emotions representing states and actions arising from mental states are located. Emotion is a concept that includes feelings and mental states. On the left side of the concentric circles, emotions that are generally generated from reactions occurring in the brain are located. On the right side of the concentric circles, emotions that are generally induced by situational judgment are located. Above and below the concentric circles, emotions that are generally generated from reactions occurring in the brain and induced by situational judgment are located. In addition, the emotion of "pleasure" is located on the upper side of the concentric circles, and the emotion of "displeasure" is located on the lower side. Thus, in the emotion map 400, multiple emotions are mapped based on the structure in which emotions arise, and emotions that are likely to occur simultaneously are mapped close together.

[0774] These emotions are distributed at the 3 o'clock position on the Emotion Map 400, and usually fluctuate between feelings of security and anxiety. In the right half of the Emotion Map 400, situational awareness takes precedence over internal feelings, resulting in a calm impression.

[0775] The inside of the Emotion Map 400 represents inner thoughts, while the outside represents actions. Therefore, the further you go from the outside of the Emotion Map 400, the more visible (expressed in actions) your emotions become.

[0776] Here, human emotions are based on various balances, such as posture and blood sugar levels. When these balances deviate from the ideal, it results in discomfort, and when they approach the ideal, it results in pleasure. Similarly, in robots, cars, motorcycles, etc., emotions can be created based on various balances, such as posture and battery level. When these balances deviate from the ideal, it results in discomfort, and when they approach the ideal, it results in pleasure. The emotion map can be generated, for example, based on Dr. Mitsuyoshi's emotion map (Research on a system for analyzing brain physiological signals of speech emotion recognition and emotion, Tokushima University, doctoral dissertation: https: / / ci.nii.ac.jp / naid / 500000375379). The left half of the emotion map contains emotions belonging to a region called "response," where sensation is dominant. The right half of the emotion map contains emotions belonging to a region called "situation," where situational awareness is dominant.

[0777] The emotion map defines two emotions that promote learning. One is the emotion around the middle of the negative "repentance" and "reflection" on the situation side. In other words, it is 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 the emotion around the positive "desire" on the reaction side. In other words, it is when the robot has positive feelings such as "I want more" or "I want to know more."

[0778] The emotion identification model 59 inputs user input into a pre-trained neural network, obtains emotion values ​​representing each emotion shown in the emotion map 400, and determines the user's emotion. This neural network is pre-trained based on multiple training data sets, which are combinations of user input and emotion values ​​representing each emotion shown in the emotion map 400. Furthermore, this neural network is trained so that emotions located close together have similar values, as shown in the emotion map 900 in Figure 10. Figure 10 shows an example where multiple emotions such as "reassured," "calm," and "confident" have similar emotion values.

[0779] The above description primarily focuses on the functions of the data processing device 12 in relation to this disclosure. However, the system related to this disclosure is not necessarily implemented on a server. The system related to this disclosure may be implemented as a general information processing system. This disclosure may be implemented, for example, as a software program that runs on a personal computer or as an application that runs on a smartphone. The method related to this disclosure may be provided to users in SaaS (Software as a Service) format.

[0780] In the above embodiment, an example was given in which a specific process is performed by a single computer 22. However, the technology of this disclosure is not limited thereto, and a distributed processing of the specific process may be performed by multiple computers, including computer 22. For example, a data generation model 58 may be provided in an external device of the data processing device 12, and the external device may generate data according to the input data.

[0781] In the above embodiment, an example was given in which the specific processing program 56 is stored in the storage 32, but the technology of this disclosure is not limited thereto. For example, the specific processing program 56 may be stored in a portable, computer-readable, non-temporary storage medium such as a USB (Universal Serial Bus) memory. The specific processing program 56 stored in the non-temporary storage medium is installed in the computer 22 of the data processing device 12. The processor 28 executes specific processing according to the specific processing program 56.

[0782] 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.

[0783] Furthermore, it is not necessary to store the entirety 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 the entirety of the specific processing program 56 in the storage 32; it is acceptable to store only a portion of the specific processing program 56.

[0784] The following types of processors can be used as hardware resources to perform specific processing. Examples of processors include a CPU, a general-purpose processor that functions as a hardware resource to perform specific processing by executing software, i.e., a program. Other examples of processors include dedicated electrical circuits, such as FPGAs (Field-Programmable Gate Arrays), PLDs (Programmable Logic Devices), or ASICs (Application Specific Integrated Circuits), which have circuit configurations specifically designed to perform specific processing. All of these processors have built-in or connected memory, and all of them perform specific processing by using memory.

[0785] The hardware resource that performs a specific process may consist of one of these various processors, or it may consist of 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). Alternatively, the hardware resource that performs a specific process may consist of a single processor.

[0786] Examples of configurations using a single processor include, firstly, a configuration in which one or more CPUs and software are combined to form a single processor, and this processor functions as a hardware resource that performs a specific process. Secondly, there is a configuration using a processor that realizes the functions of the entire system, including multiple hardware resources that perform a specific process, on a single IC chip, as exemplified by SoCs (System-on-a-chip). In this way, a specific process is realized using one or more of the above types of processors as hardware resources.

[0787] Furthermore, the hardware structure of these various processors can more specifically utilize electrical circuits that combine circuit elements such as semiconductor devices. Also, the specific processing described above is merely an example. Therefore, it goes without saying that unnecessary steps can be deleted, new steps added, or the processing order rearranged, as long as it does not deviate from the main purpose.

[0788] The descriptions and illustrations presented above are detailed explanations of the technical aspects of this disclosure and are merely examples of the technical aspects. For example, the above descriptions of the structure, function, operation, and effect are examples of the structure, function, operation, and effect of the technical aspects of this disclosure. Therefore, it goes without saying that you may delete unnecessary parts, add new elements, or replace elements in the descriptions and illustrations presented above, as long as you do not deviate from the essence of the technical aspects of this disclosure. Furthermore, in order to avoid confusion and facilitate understanding of the technical aspects of this disclosure, explanations of common technical knowledge and the like that do not require special explanation to enable the implementation of the technical aspects of this disclosure have been omitted from the descriptions and illustrations presented above.

[0789] All documents, patent applications, and technical standards described herein are incorporated by reference to the same extent as if each individual document, patent application, and technical standard were specifically and individually noted as being incorporated by reference.

[0790] The following is further disclosed regarding the embodiments described above.

[0791] (Claim 1)

[0792] Information gathering means for collecting user information,

[0793] A proposal generation means that generates a proposal based on the aforementioned information,

[0794] A proposal presentation means for presenting the aforementioned proposal to the user,

[0795] A reservation execution means for executing a reservation based on the above proposal,

[0796] A notification means for notifying the user of the completion of the aforementioned reservation,

[0797] A system that includes this.

[0798] (Claim 2)

[0799] The system according to claim 1, wherein the information gathering means collects information relating to the user's age, gender, region, and hobbies.

[0800] (Claim 3)

[0801] The system according to claim 1, wherein the suggestion generation means generates suggestions based on similar user profiles and statistical data in the database.

[0802] "Example 1"

[0803] (Claim 1)

[0804] An information input means that receives user characteristic information, encrypts it, and transmits it,

[0805] A proposal generation means that processes the aforementioned characteristic information using data analysis technology and generates proposals using an artificial intelligence model,

[0806] A proposal presentation means for visually presenting the aforementioned proposal to the user,

[0807] Based on the above proposal, a reservation execution means that automates reservations in cooperation with external services,

[0808] A notification means for immediately notifying the user of the results of the automated reservation,

[0809] A system that includes this.

[0810] (Claim 2)

[0811] The system according to claim 1, wherein the information input means receives information about the user's personal characteristics while verifying it in real time.

[0812] (Claim 3)

[0813] The system according to claim 1, wherein the proposal generation means creates a generation prompt considering historical data and similar user information stored in the database.

[0814] "Application Example 1"

[0815] (Claim 1)

[0816] Information acquisition means for collecting user characteristic information,

[0817] A proposal generation means that generates proposals based on the aforementioned information and geographical information,

[0818] A proposal presentation means for presenting the aforementioned proposal to the user and accepting their selection,

[0819] A reservation execution means for reserving a real-world facility or activity based on the aforementioned selection,

[0820] A notification means for informing the user of the completion of the aforementioned reservation,

[0821] A system that includes this.

[0822] (Claim 2)

[0823] The system according to claim 1, wherein the information acquisition means collects information on the user's age, gender, residential area, and interests, and includes location information and environmental information at the time of acquisition.

[0824] (Claim 3)

[0825] The system according to claim 1, wherein the proposal generation means generates proposals based on characteristic information and past statistical information of similar users in the database, and further optimizes them by taking weather information into consideration.

[0826] "Example 2 of combining an emotion engine"

[0827] (Claim 1)

[0828] Means of collecting user information,

[0829] A means for generating suggestions based on the aforementioned information and the user's emotional state,

[0830] A means of presenting the aforementioned proposal to the user,

[0831] A means for making a reservation based on the above proposal,

[0832] A means of notifying the user of the completion of the aforementioned reservation,

[0833] A system that includes this.

[0834] (Claim 2)

[0835] The system according to claim 1, wherein the information gathering means collects the user's basic personal data and emotional state.

[0836] (Claim 3)

[0837] The system according to claim 1, wherein the suggestion generation means generates suggestions based on similar user attributes and past sentiment data in the database.

[0838] "Application example 2 when combining with an emotional engine"

[0839] (Claim 1)

[0840] Information gathering means for collecting user information,

[0841] A proposal generation means that generates a proposal based on the aforementioned information,

[0842] A proposal presentation means for presenting the aforementioned proposal to the user,

[0843] A reservation execution means for executing a reservation based on the above proposal,

[0844] A notification means for notifying the user of the completion of the aforementioned reservation,

[0845] An emotion analysis method for recognizing the user's psychological state,

[0846] A proposal modification means for individualizing the proposal based on the aforementioned psychological state,

[0847] A system that includes this.

[0848] (Claim 2)

[0849] The system according to claim 1, wherein the information gathering means collects information relating to the user's age, gender, region, and hobbies.

[0850] (Claim 3)

[0851] The system according to claim 1, wherein the suggestion generation means generates suggestions based on similar user profiles and statistical data in a database, and further modifies the suggestions by referring to data from the sentiment analysis means. [Explanation of Symbols]

[0852] 10, 210, 310, 410 Data Processing Systems 12 Data Processing Devices 14 Smart Devices 214 Smart Glasses 314 Headset-type terminal 414 Robots< / url:> < / url:> < / url:> < / url:>

Claims

1. Information acquisition means for collecting user characteristic information, A proposal generation means that generates proposals based on the aforementioned information and geographical information, A proposal presentation means for presenting the aforementioned proposal to the user and accepting their selection, A reservation execution means for reserving a real-world facility or activity based on the aforementioned selection, A notification means for informing the user of the completion of the aforementioned reservation, A system that includes this.

2. The system according to claim 1, wherein the information acquisition means collects information on the user's age, gender, residential area, and interests, and includes location information and environmental information at the time of acquisition.

3. The system according to claim 1, wherein the proposal generation means generates proposals based on characteristic information and past statistical information of similar users in the database, and further optimizes them by taking weather information into consideration.

Images