system

Abstract

Provide a system. A means for a user to input interest information; A means for generating suggestions for the user's private time based on the interest information; means for making reservations and arranging transportation based on said suggestions; means for notifying the user of the reservation and detailed information of the means of transportation; A system including:

Description

[Technical Field]

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

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

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

[0004] In modern society, with the increase in single-person households, there is a demand for support to help individuals spend their private time in a fulfilling way. However, it is not easy to find activities that match each individual's interests and desires, and to consistently make reservations and arrange transportation to realize them. For this reason, the challenge is to provide comprehensive services that allow individuals to make effective use of their private time without hassle. [Means for solving the problem]

[0005] The present invention relates to a system including a means for a user to input interest information, a means for generating suggestions for the user's private time based on the interest information, a means for making reservations and arranging transportation based on the suggestions, and a means for notifying the user of details of the reservations and transportation. Furthermore, the means for generating suggestions uses an algorithm that analyzes the user's past data and interest information, and the means for making reservations and arranging transportation transmits reservation requests using APIs of external facilities and service providers. In this way, the system enables users to efficiently realize plans that meet their preferences.

[0006] "User" refers to an individual who uses this system.

[0007] "Interest Information" refers to data entered by a user regarding their own interests and concerns.

[0008] "Suggestions" refer to plans for how to spend private time that are generated based on the user's interests and concerns.

[0009] "Reservation" refers to the procedure by which a user uses an actual service or facility based on the specific date, time and location of the proposed plan.

[0010] "Transportation" refers to the means (taxi, rental car, etc.) used by the user to travel to the specified location according to the proposed plan.

[0011] "Detailed information" refers to specific information about the reservation and transportation (reservation number, address, time, etc.).

[0012] "System" refers to an integrated technology that includes multiple means to propose plans based on user interests and arrange reservations and transportation in a consistent manner.

[0013] "Algorithm" refers to the computational procedures used to analyze a user's past data and interests to generate optimal recommendations.

[0014] "API" refers to an application programming interface that enables collaboration with external facilities and service providers. [Brief explanation of the drawings]

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

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

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

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

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

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

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

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

[0023] [First embodiment]

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

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

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

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

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

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

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

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

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

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

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

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

[0036] As an embodiment of the invention, the system provides an assistant service that allows users to use a personal concierge to consistently provide suggestions for how to spend their private time, reservations, and transportation options. The system comprises a means for users to input interest information, a means for generating suggestions based on the interest information, a means for making reservations and transportation arrangements based on the suggestions, and a means for notifying the user of details of the reservations and transportation options.

[0037] What the program does:

[0038] First, a user accesses the system using an application. The user first registers and logs in. The server stores the user's registration information in a database and authenticates the login information.

[0039] Enter your interests and preferences:

[0040] Users enter their interests and desired activities through the interface, such as "cooking class," "yoga class," or "museum tour." The server analyzes this information and compares it with past data.

[0041] Plan generation and proposal:

[0042] Next, the server uses an AI algorithm to generate the optimal plan based on the user's input data. For example, plans such as "Saturday morning: cooking class" and "Saturday afternoon: museum tour" are automatically generated. The generated plan is sent to the user's device, and the user can select the plan they like best from the ones presented.

[0043] Booking and transportation arrangements:

[0044] After selecting the desired plan, the user enters the necessary details into the reservation form. The server processes this information and sends a reservation request to the relevant facility or service provider, while also arranging transportation (such as a taxi or rental car).

[0045] Notification and confirmation:

[0046] The server generates reservation confirmation information and sends it to the user's device. This information includes the reservation number, facility details, and transportation details. The user can review this information and get a detailed understanding of the plan.

[0047] Examples:

[0048] For example, user A wants to "relax this weekend" and uses the system. User A is interested in "cooking classes" and "visiting art museums." When user A enters this information, the system generates a plan called "Saturday morning: cooking class" and "Saturday afternoon: visit art museums" and displays it on the screen. When user A selects this plan, the server makes reservations for the cooking class and the art museum, and arranges for a taxi. Reservation confirmation information is sent to user A's terminal, and user A can easily check the reservation details.

[0049] In this way, users can spend their private time in a way that suits their interests without any hassle. This system responds to the increasing number of single-person households and helps individual users to enjoy their private time efficiently.

[0050] The processing flow will be explained below.

[0051] Step 1:

[0052] User opens the sign-up page

[0053] Terminal: Display the registration page interface.

[0054] User: Enter the required information such as name, email address, and password, and click the "Register" button.

[0055] Step 2:

[0056] The server receives the user information

[0057] Server: Receives user information sent from the front end and checks it against the existing database to see if there are any duplicates.

[0058] Server: If there is no duplicate, save the new user information to the database.

[0059] Server: Send a verification email to the registered email address.

[0060] Step 3:

[0061] The user checks the verification email

[0062] User: Opens his / her email inbox and clicks the link in the verification email.

[0063] Step 4:

[0064] The server performs the authentication process

[0065] Server: Receives the authentication link and updates the corresponding user's account status to "active".

[0066] Step 5:

[0067] The user opens the login page

[0068] User: After email authentication, access the login page, enter your email address and password, and press the "Login" button.

[0069] Server: Checks credentials and authenticates user successfully.

[0070] Step 6:

[0071] Users enter their interests

[0072] Device: The user interface displays a form for entering interest information.

[0073] User: Enter their interests, such as "cooking classes," "yoga classes," or "visiting art museums," and press the "Submit" button.

[0074] Step 7:

[0075] The server receives and analyzes the input information

[0076] Server: Receives the entered interest information and stores it in a database.

[0077] Server: Analyzes the stored data and compares it with past user data.

[0078] Step 8:

[0079] The server generates a plan

[0080] Server: Based on the user's interests, an AI algorithm is used to generate the optimal plan, such as "Saturday morning: cooking class" or "Saturday afternoon: museum tour."

[0081] Server: Sends the generated plan information to the user's device.

[0082] Step 9:

[0083] The user confirms and selects a plan

[0084] Device: The proposed plan is displayed on the user's device.

[0085] User: Review the plans offered and select the one they like best.

[0086] Step 10:

[0087] The server performs the reservation procedure.

[0088] Server: Calls the API of the reservation channel (facility / service provider) to obtain detailed information about the plan selected by the user and proceed with the reservation procedure.

[0089] Server: Sends reservation requests to each facility or service provider, and the reservation is confirmed.

[0090] Step 11:

[0091] The server arranges transportation

[0092] Server: Uses the APIs of transportation providers to arrange taxis and rental cars for users.

[0093] Step 12:

[0094] The server generates the booking and transportation details

[0095] Server: Generates reservation confirmation information and transportation details, and creates a message to notify the user.

[0096] Step 13:

[0097] The server sends the details to the user

[0098] Server: Generates and sends a confirmation message to the user's device, which includes the reservation number, facility details, and transportation information.

[0099] Terminal: Display the received confirmation message and notify the user.

[0100] Step 14:

[0101] The user confirms the reservation

[0102] User: Check the confirmation message displayed on their device to confirm their reservation and transportation details.

[0103] In this way, users can receive support to spend their private time in a way that suits their interests without any hassle.

[0104] Example 1

[0105] Next, a description will be given of Example 1. In the following description, the data processing device 12 will be referred to as a "server" and the smart device 14 will be referred to as a "terminal."

[0106] In today's world, individuals have limited means to efficiently plan their private time and spend it productively. Conventional methods require a lot of time and effort, making it difficult to arrange appropriate activities and transportation. In particular, the lack of a system that automatically generates plans tailored to users' interests forces users to manually gather information, resulting in a waste of resources.

[0107] The specific processing by the specific processing unit 290 of the data processing device 12 in the first embodiment is realized by the following means.

[0108] In this invention, the server includes means for a user to input interest information, means for registering and authenticating a user account, means for generating proposals based on the interest information, means for making reservations and arranging transportation based on the proposals, means for notifying the user of details of the reservations and transportation, means for using an algorithm to analyze the interest information, means for generating an optimal plan by analyzing the user's past data, and means for sending a reservation request using the APIs of external facilities and service providers. This allows users to easily generate optimal plans based on their own interests and make consistent reservations and transportation arrangements.

[0109] "User" refers to an individual who uses the system.

[0110] "Interest Information" refers to information related to activities and hobbies entered by a User.

[0111] "Suggestions" refer to private time plans generated based on the user's interests and past data.

[0112] "Reservation" means the reservation of a date and time for a proposed activity or facility use.

[0113] "Transportation" refers to the means of transportation used to travel to facilities and activities (e.g., taxis, rental cars, etc.).

[0114] "Details" means specific information about your Booking and Transportation.

[0115] "Means" refers to the technical methods or devices used by the system to achieve a specific function.

[0116] "Server" refers to a computer system that processes user requests and stores and manages data.

[0117] "Terminal" refers to the device used by the user (e.g., smartphone, tablet, PC, etc.).

[0118] "Algorithm" refers to the computational procedures used to analyze a user's data and generate an optimal plan.

[0119] "API" refers to an interface for using functions with external facilities and service providers.

[0120] "Database" refers to a system for storing and managing user information and past data.

[0121] This invention provides a system that suggests ways for users to spend their private time based on their interests and concerns, and consistently provides reservations and transportation options. The system inputs and processes information through user operations, and provides the user with the optimal plan. The specific implementation method of the system is shown below.

[0122] First, the user accesses the system using a dedicated application. The user enters the required information (user name, password, email address, etc.) on the new registration screen to create an account. Next, the user can start using the system by logging in with the created account.

[0123] Hardware and Software

[0124] Server: A high-performance computer system (e.g., Linux (registered trademark) server, Windows server) is used to manage a database (e.g., MySQL (registered trademark), PostgreSQL). In addition, the programs that run on the server are implemented using programming languages ​​such as Python and JavaScript (registered trademark).

[0125] Device: The application runs on the device used by the user (e.g., smartphone, tablet, PC). It is provided as an iOS or ANDROID (registered trademark) application.

[0126] Algorithms: We use AI algorithms (e.g., Sci-kit Learn, TENSORFLOW (registered trademark)) to analyze user interests and concerns.

[0127] API: We use APIs of external facilities and service providers (e.g., OpenTable API, Uber API) to submit reservation requests and arrange transportation.

[0128] Data processing and calculation

[0129] Registration and authentication: The information entered by the user is sent to the server and stored in a database. Registration information is managed securely using encryption technology (e.g., SSL / TLS).

[0130] Input and analysis of interest information: Users input their interest information through the interface. The input information is sent to the server in JSON format and analyzed on the server side. At that time, the user's preferences are detected by comparing it with past data.

[0131] Plan Generation: The server uses an AI algorithm based on the user's interests to generate an optimal plan, including date, time, and activity details.

[0132] Reservation and transportation arrangement: Once the user selects a plan, the server uses API to send a reservation request to the facility or service provider, and also arranges transportation using API.

[0133] Notification: Reservation and transportation details are sent from the server to the user's device and displayed on the screen.

[0134] Specific examples

[0135] For example, User A wants to "refresh this weekend" and uses the system. User A starts the application and registers. Then, he logs in and enters that he is interested in "cooking classes" and "visiting art museums." The server analyzes this information and uses an AI algorithm to generate a plan such as "Saturday morning: cooking class" and "Saturday afternoon: visit art museums." When User A selects a plan, the server immediately reserves the facilities and arranges transportation, and sends confirmation information to User A's device.

[0136] Prompt Sentence Examples

[0137] An example of a prompt to enter into the system is the following:

[0138] "If a user has a request to 'refresh,' explain how the system generates a plan, arranges the reservation, and provides transportation."

[0139] This allows users to easily enrich their private time and enjoy efficient assistance services that address the growing number of single-person households.

[0140] The flow of the identification process in the first embodiment will be described with reference to FIG.

[0141] Processing Steps

[0142] Step 1: User Registration and Login

[0143] User: Launches the application and goes to the new registration screen. Enters the required information such as username, password, and email address, and clicks the "Register" button.

[0144] Input: Username, Password, Email Address.

[0145] Server: Receives the entered information and stores it in the database. If the save is successful, sends a confirmation email to the user.

[0146] Output: Confirmation email.

[0147] Users: Receive a confirmation email and click the link to activate their account, then enter their username and password on the login screen and click the "Login" button.

[0148] Input: Login information (username, password).

[0149] Server: Authenticates the login information, and if authentication is successful, returns information to display the dashboard screen.

[0150] Output: Authentication results, dashboard information.

[0151] Step 2: Enter your interests and preferences

[0152] User: Go to the "Enter Interests and Preferences" section of the dashboard, enter the activities you're interested in (e.g., cooking class, yoga class, museum visit) and click the "Submit" button.

[0153] Input: Interests.

[0154] Terminal: Sends the entered information to the server in JSON format.

[0155] Server: Analyzes the received JSON data and compares it with past data to detect the user's preferences.

[0156] Data processing: JSON analysis, comparison with past data.

[0157] Output: Analysis results.

[0158] Step 3: Plan generation and proposal

[0159] Server: Based on the received analysis results, the AI ​​algorithm is run to generate the optimal plan. The algorithm uses Sci-kit Learn and TensorFlow.

[0160] Input: Analysis results.

[0161] Data calculation: Plan generation using AI algorithms.

[0162] Output: The generated plan.

[0163] Server: Sends the generated plan in JSON format to the terminal.

[0164] Terminal: Displays the received plan information on the user interface.

[0165] User: Select the plan they like best from the ones presented.

[0166] Step 4: Make your booking and arrange transportation

[0167] User: Select the plan you want and click the "Enter details" button. Enter the required information (e.g., name, contact information, desired date and time) in the reservation form that appears next.

[0168] Input: Reservation information.

[0169] Terminal: Sends the entered information to the server in JSON format.

[0170] Server: Processes the received information. Calls the reservation system (e.g., OpenTable API, Resy API) to send a reservation request to the relevant facility or service provider. At the same time, calls the API of Uber or Lyft to arrange transportation and arranges a taxi.

[0171] Data calculation: processing reservation information, API calls.

[0172] Output: Reservation confirmation information, transportation arrangement information.

[0173] Step 5: Notification and confirmation

[0174] Server: Generates and sends reservation confirmation and transportation details to the user's device, including reservation number, facility details, and transportation details.

[0175] Input: Reservation information, transportation information.

[0176] Output: Final confirmation information.

[0177] Terminal: Reflects the received information in a display element (e.g., a dialog box) and notifies the user.

[0178] Users: Check notifications and find out more.

[0179] Through the above processing steps, users can generate the optimal plan based on their own interests and concerns, and then complete the reservation process and transportation arrangements in a seamless manner.

[0180] (Application example 1)

[0181] Next, a description will be given of Application Example 1. In the following description, the data processing device 12 will be referred to as a "server" and the smart device 14 will be referred to as a "terminal."

[0182] On conventional online shopping sites, users had to search for products individually, check the details of each product, and then proceed with the purchase process, which was cumbersome and time-consuming.In addition, there was no system that suggested optimal products based on the user's interests, or provided consistent support for the purchase process and delivery arrangements, making it difficult for users to efficiently find products that matched their preferences and needs.

[0183] The specific processing by the specific processing unit 290 of the data processing device 12 in the application example 1 is realized by the following means.

[0184] In this invention, the server includes a means for a user to input interest information, a means for generating suggestions for the user's private time or products based on the interest information, a means for making reservations and transportation means or product purchase procedures and delivery arrangements based on the suggestions, and a means for notifying the user of details of the reservations and transportation means or product purchase procedures and delivery arrangements. This allows the user to receive suggestions for optimal products and services based on their interests and easily purchase and use them.

[0185] "User" means an individual or legal entity who uses the System to enter interest information and receive suggestions.

[0186] "Interest information" is information entered by a user regarding their hobbies and preferences, including, for example, specific product categories or types of services.

[0187] "Proposals" are plans and product lists that are optimized to meet the user's needs and are generated based on the user's interests and concerns.

[0188] "Reservation" refers to the process by which a user reserves in advance the use of a specific facility or service based on a proposed plan.

[0189] "Transportation" refers to arranging the transportation necessary for the user to use the proposed plan, and examples include taxis and rental cars.

[0190] "Purchase procedure" refers to the procedure by which a user purchases a suggested product online or offline.

[0191] "Delivery Arrangement" means arranging for delivery of purchased items to a specified location.

[0192] "Detailed information" refers to specific data relating to reservation and purchase procedures, transportation and delivery arrangements, including reservation numbers, facility details, transportation details, delivery information, etc.

[0193] The "System" refers to a collection of computer networks and software that performs a series of processes, including inputting user interest information, generating suggestions for the user's private time or products, making reservations or purchasing procedures and arrangements based on those suggestions, and notifying users of detailed information.

[0194] A "generative AI model" is an artificial intelligence algorithm used to analyze a user's interests and past data to generate optimal suggestions.

[0195] A "prompt" is a document containing information about a user's interests that is input to a generative AI model, and suggestions are generated based on this document.

[0196] The system of this invention allows users to input information about their interests and concerns, and based on that information, it makes optimal suggestions, and then consistently provides reservations, transportation arrangements, or product purchase procedures and delivery arrangements. Specific implementation methods for this system are described below.

[0197] This system is composed of multiple hardware and software components. Users access the system using a device such as a smartphone. The device is equipped with a user interface, through which users can input their own interests and concerns. The information entered by the user is sent to a server via the Internet.

[0198] The server is built using a web framework such as Flask and has the ability to receive and process user input data. The server is connected to a database that stores user past data and information on interests and concerns, and user information is managed here.

[0199] The server uses a generative AI model to generate optimal suggestions based on the user's input interest information and past data. This generative AI model is implemented using, for example, a Python machine learning library. The generated suggestions are sent from the server to the user's device and displayed on the user interface.

[0200] When a user selects a desired plan or product from the proposed options, the server uses that information to process reservations and arrange transportation, or to process product purchases and arrange delivery. This uses the APIs of external facilities, service providers, and product providers. Specifically, a reservation request or purchase request is sent to an external system, and once confirmation is received, the details are sent to the user's device.

[0201] For example, if User B enters "I'm interested in useful kitchen gadgets," the server uses the generative AI model to generate optimal product suggestions such as "Mixer Grinder," "Blender," and "Air Fryer," and sends them to the user's device. When User B selects "Blender" and proceeds with the purchase, the server uses the API of the relevant product provider to send a purchase request and arrange for delivery. Order confirmation information is sent from the server to User B's device, including the reservation number and delivery details.

[0202] Specific examples of prompt sentences are as follows:

[0203] example:

[0204] "User B is interested in useful kitchen gadgets."

[0205] In this way, users can easily purchase and use the most suitable products and services based on their interests without any hassle.

[0206] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[0207] Step 1:

[0208] A user accesses the system using a smartphone terminal. The user opens the application and the login screen appears. The user enters their username and password and sends an authentication request to the server. The server references the database and verifies the entered authentication information. If the authentication is successful, the user proceeds to the main screen.

[0209] Step 2:

[0210] The user enters their interests on the main screen. For example, they might enter, "I'm interested in useful kitchen gadgets." This information is sent to the server, which receives this input and feeds it into a generative AI model as a prompt. This model then generates optimal suggestions based on the input information.

[0211] Step 3:

[0212] The server uses the generative AI model to analyze the user's interests and generate appropriate product suggestions. For example, suggestions such as "Mixer Grinder," "Blender," and "Air Fryer" may be generated. These suggestions are sent from the server to the user's device and displayed on the screen.

[0213] Step 4:

[0214] The user selects the desired product from the displayed suggestions. For example, they select "Blender." The selected information is sent to the server. The server retrieves the information about the selected product and starts the purchase process.

[0215] Step 5:

[0216] The server uses the API of an external product provider to proceed with the user's purchase. A purchase request is sent to the product provider, and the purchase is confirmed. At the same time, delivery arrangements are made. Information on delivery arrangements is also made using the external API, and the necessary information is sent to the delivery company, etc.

[0217] Step 6:

[0218] The server generates detailed information about the purchase process and delivery arrangements and sends it to the user's device. This information includes the order number, product name, estimated delivery date, etc. The user receives this notification and can check the details.

[0219] Step 7:

[0220] The user receives the product delivery. The delivery person delivers the product to the specified address. The completion of delivery marks the end of the series of purchase and delivery arrangement processes.

[0221] Furthermore, an emotion engine that estimates the user's emotion may be combined. That is, the identification processing unit 290 may estimate the user's emotion using the emotion identification model 59 and perform identification processing using the user's emotion.

[0222] This invention relates to an assistant service that provides users with a personalized concierge service that offers suggestions for how to spend their private time, reservations, and transportation options. The system aims to provide more personalized suggestions by combining a conventional suggestion system with an emotion engine that recognizes the user's emotions.

[0223] What the program does:

[0224] First, a user accesses the system using an application. The user first registers and logs in. The server stores the user's registration information in a database and authenticates the login information.

[0225] Enter your interests and preferences:

[0226] Users enter their interests and desired activities through the interface, such as "cooking class," "yoga class," or "museum tour." The server analyzes this information and compares it with past data.

[0227] Recognizing user emotions:

[0228] An emotion engine is used to recognize the user's current emotional state. The emotion engine can recognize the user's emotions using facial expression recognition or voice analysis techniques.

[0229] Plan generation and proposal:

[0230] Next, the server uses an AI algorithm to generate an optimal plan based on the user's input data and emotional state. For example, a plan such as "Saturday morning: cooking class" or "Saturday afternoon: museum tour" is automatically generated. The priority of suggestions is adjusted based on the emotional information recognized by the emotion engine. For example, if the user is feeling stressed, it can prioritize relaxing activities. The generated plan is sent to the user's device, and the user can select the plan they like best from the ones presented.

[0231] Booking and transportation arrangements:

[0232] After selecting the desired plan, the user enters the necessary details into the reservation form. The server processes this information and sends a reservation request to the relevant facility or service provider, while also arranging transportation (such as a taxi or rental car).

[0233] Notification and confirmation:

[0234] The server generates reservation confirmation information and sends it to the user's device. This information includes the reservation number, facility details, and transportation details. The user can review this information and get a detailed understanding of the plan.

[0235] Examples:

[0236] For example, User A wants to "relax this weekend" and uses the system. User A is interested in "cooking classes" and "visiting art museums." When the emotion engine recognizes the stress level of User A from his / her face, the system prioritizes "relaxing activities." A plan is generated that includes relaxation yoga in the Saturday morning and a visit to local art museums in the afternoon, and is displayed on the screen.

[0237] When User A selects this plan, the server makes reservations for relaxation yoga and the art museum, and arranges a taxi. Reservation confirmation information is sent to User A's terminal, allowing User A to easily check the reservation details.

[0238] In this way, users can spend their private time in a way that suits their interests and emotional state without any effort. This system responds to the increasing number of single-person households and helps individual users enjoy their private time efficiently.

[0239] The processing flow will be explained below.

[0240] Step 1:

[0241] User opens the sign-up page

[0242] Terminal: Display the registration page interface.

[0243] User: Enter the required information such as name, email address, and password, and click the "Register" button.

[0244] Step 2:

[0245] The server receives the user information

[0246] Server: Receives user information sent from the front end and checks it against the existing database to see if there are any duplicates.

[0247] Server: If there is no duplicate, save the new user information to the database.

[0248] Server: Send a verification email to the registered email address.

[0249] Step 3:

[0250] The user checks the verification email

[0251] User: Opens his / her email inbox and clicks the link in the verification email.

[0252] Step 4:

[0253] The server performs the authentication process

[0254] Server: Receives the authentication link and updates the corresponding user's account status to "active".

[0255] Step 5:

[0256] The user opens the login page

[0257] User: After email authentication, access the login page, enter your email address and password, and press the "Login" button.

[0258] Server: Checks credentials and authenticates user successfully.

[0259] Step 6:

[0260] Users enter their interests

[0261] Device: The user interface displays a form for entering interest information.

[0262] User: Enter their interests, such as "cooking classes," "yoga classes," or "visiting art museums," and press the "Submit" button.

[0263] Step 7:

[0264] The server receives and analyzes the input information

[0265] Server: Receives the entered interest information and stores it in a database.

[0266] Server: Analyzes the stored data and compares it with past user data.

[0267] Step 8:

[0268] Recognizing the user's emotional state

[0269] Device: Activate the emotion recognition camera and capture the user's facial expressions.

[0270] User: Show your face in front of the camera.

[0271] Emotion engine: Analyzes the user's emotional state using facial expression recognition or voice analysis technology.

[0272] Server: Receives the recognized emotion data and stores the analysis results in a database.

[0273] Step 9:

[0274] The server generates the proposal

[0275] Server: Based on the user's input data and emotional state, the AI ​​algorithm generates the optimal plan. For example, if the user is feeling stressed, it will prioritize relaxing activities.

[0276] Server: Sends the generated plan information to the user's device.

[0277] Step 10:

[0278] The user confirms and selects a plan

[0279] Device: The proposed plan is displayed on the user's device.

[0280] User: Review the plans offered and select the one they like best.

[0281] Step 11:

[0282] The server performs the reservation procedure.

[0283] Server: Calls the API of the reservation channel (facility / service provider) to obtain detailed information about the plan selected by the user and proceed with the reservation procedure.

[0284] Server: Sends reservation requests to each facility or service provider, and the reservation is confirmed.

[0285] Step 12:

[0286] The server arranges transportation

[0287] Server: Uses the APIs of transportation providers to arrange taxis and rental cars for users.

[0288] Step 13:

[0289] The server generates the booking and transportation details

[0290] Server: Generates reservation confirmation information and transportation details, and creates a message to notify the user.

[0291] Step 14:

[0292] The server sends the details to the user

[0293] Server: Generates and sends a confirmation message to the user's device, which includes the reservation number, facility details, and transportation information.

[0294] Terminal: Display the received confirmation message and notify the user.

[0295] Step 15:

[0296] The user confirms the reservation

[0297] User: Check the confirmation message displayed on their device to confirm their reservation and transportation details.

[0298] In this way, users can receive support to spend their private time in a way that suits their interests and emotional state without any hassle.

[0299] Example 2

[0300] Next, a description will be given of Example 2. In the following description, the data processing device 12 will be referred to as a "server" and the smart device 14 will be referred to as a "terminal."

[0301] Conventional recommendation systems based on user interests and concerns make uniform suggestions without considering the user's emotional state, which means they have the problem of not being able to adequately respond to the individual needs of users. In particular, there is a lack of private time suggestions that take into account the user's stress and emotional fluctuations, which means that they are unable to provide services that truly satisfy users.

[0302] The specific processing by the specific processing unit 290 of the data processing device 12 in the second embodiment is realized by the following means.

[0303] In this invention, the server includes a means for a user to input interest information, a means for recognizing the user's emotional state, a means for generating suggestions based on the interest information and the recognized emotional state, a means for arranging reservations and transportation, and a means for notifying the user of details of reservations and transportation, thereby enabling personalized private time suggestions and a consistent reservation process that take into account the user's emotional state.

[0304] A "user" is an individual who utilizes the system to receive offers and reservations for private time.

[0305] "Interest Information" is information about activities that a user is interested in or desires to do that user inputs into the system.

[0306] "Emotional state" is information that indicates the user's current emotions and psychological state.

[0307] An "emotion engine" is a system component that includes techniques and algorithms for recognizing a user's emotional state.

[0308] "Suggestions" are recommendations for activities and activities for private time that the system generates based on the user's interests and emotional state.

[0309] "Reservation" is the process of applying in advance for a particular facility or service based on a proposal selected by the user.

[0310] "Transportation" refers to the means of transportation that a user uses to travel to a proposed activity or facility.

[0311] "Notification" is an information transmission method by which the server notifies the user of detailed information about reservations and transportation means.

[0312] "Facility" refers to the location where the user will perform the proposed activity.

[0313] "Service provider" refers to a company or organization that provides services such as activities and transportation to users.

[0314] MODE FOR CARRYING OUT THE INVENTION

[0315] This invention relates to an assistant service that provides users with a personalized concierge service that offers suggestions for how to spend their private time, reservations, and transportation options. The system aims to provide more personalized suggestions by combining a conventional suggestion system with an emotion engine that recognizes the user's emotions.

[0316] User Registration and Login Authentication

[0317] A user starts the application on a device such as a smartphone or tablet and enters their name, email address, and password on the registration screen. The server stores the entered information in a database such as MySQL. The user then logs in with their registered email address and password, and once authenticated, is redirected to the home screen.

[0318] Input of user interests and wishes

[0319] Through an interface within the application, users input their interests and desired activities, such as "cooking class," "yoga class," or "museum tour." The server collects this information, stores it in a database, and then analyzes the data using Python's Pandas library.

[0320] Recognizing user emotions

[0321] The user activates the emotion recognition feature within the app, capturing facial expressions and recording audio using the device's camera and microphone. The server analyzes facial expressions using OpenCV and Dlib, and voice characteristics using the Google® Cloud Speech-to-Text API. This allows the user's current emotional state to be recognized.

[0322] Plan generation and proposal

[0323] The server uses an AI algorithm to generate an optimal plan based on the user's input data and the user's recognized emotional state. In this case, TensorFlow or PyTorch is used. For example, if the user is feeling stressed, it will prioritize relaxing activities. The generated plan is displayed on the screen and may be presented as follows:

[0324] "Saturday Morning: Relaxation Yoga"

[0325] "Saturday Afternoon: Museum Tour"

[0326] Booking and transportation arrangements

[0327] The user selects the desired plan and enters the necessary details into the booking form. The server processes this information and sends a booking request to the relevant facility or service provider, while simultaneously arranging for a taxi or car rental using integration technologies such as Twilio.

[0328] Notification and confirmation

[0329] The server generates a reservation confirmation and sends it to the user's device via Firebase Cloud Messaging (FCM), which includes the reservation number, facility details, and transportation details. The user can then review the information displayed on their device and get a detailed understanding of the plan.

[0330] Specific examples

[0331] For example, user A wants to relax on the weekend and uses the system. User A is interested in "cooking classes" and "visiting art museums." When the emotion engine recognizes user A's stress level, the system prioritizes and suggests "relaxing activities." The generated plan is "Saturday morning: relaxation yoga, Saturday afternoon: visiting art museums." When user A selects this plan, the server makes reservations for relaxation yoga and the art museums and arranges for a taxi. Reservation confirmation information is sent to user A's terminal, where user A can check it.

[0332] Example prompts to input to the generative AI model

[0333] You might use a prompt like this:

[0334] "I'd like some suggestions for relaxing activities this weekend."

[0335] "I'm interested in cooking classes and visiting art museums."

[0336] "I'm feeling stressed, so I want to prioritize relaxing plans."

[0337] By using this system, users can spend their private time meaningfully in a way that suits their interests and emotional state without any hassle.

[0338] The flow of the identification process in the second embodiment will be described with reference to FIG.

[0339] A detailed explanation of the program's processing flow

[0340] Step 1: User Registration and Login Authentication

[0341] input:

[0342] The name, email address, and password that the user enters into the application.

[0343] process:

[0344] A user launches an application: A user launches an application on a device such as a smartphone or tablet.

[0345] User enters registration information: User enters name, email address, password and presses "Register" button.

[0346] The server stores the registration information: The server stores the information entered in a database such as MySQL and confirms that the registration is complete.

[0347] User logs in: The user accesses the login screen with their registered email address and password and logs in.

[0348] The server performs authentication: The server checks the information against its database to verify that the combination is correct.

[0349] output:

[0350] The user successfully logs in and is redirected to the home screen.

[0351] Step 2: Enter your interests and preferences

[0352] input:

[0353] Users enter their interests and desired activities, such as "cooking class," "yoga class," or "museum tour."

[0354] process:

[0355] User enters their interest and desired activities: Users enter their interests and desired activities into the application's interface.

[0356] The server receives the inputs: The server receives these inputs and stores them in a database.

[0357] The server analyzes the input information: The server uses Python's Pandas library to analyze the input data and compare it with the user's interests and past data.

[0358] output:

[0359] Based on the analysis results, user interest data is stored in a database.

[0360] Step 3: Recognizing user emotions

[0361] input:

[0362] Facial expression data captured by the device's camera and audio data recorded by the microphone.

[0363] process:

[0364] User initiates emotion engine: The user initiates emotion recognition within the application.

[0365] The device collects emotion data using the camera and microphone: The device's camera captures the user's face and the microphone records their voice.

[0366] Server analyzes emotion data: The server analyzes facial expressions using OpenCV and Dlib, and voice characteristics using Google Cloud Speech-to-Text API.

[0367] output:

[0368] The user's current emotional state is recognized and stored in a database.

[0369] Step 4: Generate and propose a plan

[0370] input:

[0371] User interest data, emotional state data.

[0372] process:

[0373] The server generates a plan using an AI algorithm: The server uses TensorFlow or PyTorch to generate an optimal plan based on the user's interest data and emotional state.

[0374] The server sends the generated plan to the user's terminal: The generated plan is sent to the user's terminal and displayed on the screen.

[0375] output:

[0376] Plans presented to users, such as "Saturday morning: Relaxation yoga" or "Saturday afternoon: Museum visit."

[0377] Step 5: Make your booking and arrange transportation

[0378] input:

[0379] The plan you select and the name and contact information you enter in the booking form.

[0380] process:

[0381] User selects desired plan: User selects the plan they like and fills in the details.

[0382] The server processes the reservation information: The server processes the information entered and sends the reservation request to the relevant facility or service provider.

[0383] Server arranges transportation: The server uses integration technology such as Twilio to arrange taxis or rental cars.

[0384] output:

[0385] A booking confirmation and transportation details are generated.

[0386] Step 6: Notification and confirmation

[0387] input:

[0388] Booking confirmation and transportation details.

[0389] process:

[0390] Server generates booking confirmation: The server generates the information including the booking number, facility details, and transportation details.

[0391] The server sends information to the user device: Information is sent to the user device via Firebase Cloud Messaging (FCM).

[0392] User confirms reservation confirmation information: The user confirms the information displayed on the device and understands the details of the plan.

[0393] output:

[0394] Booking confirmation information and transportation details provided to the user.

[0395] (Application example 2)

[0396] Next, a description will be given of Application Example 2. In the following description, the data processing device 12 will be referred to as a "server" and the smart device 14 will be referred to as a "terminal."

[0397] Conventional private time suggestion systems make suggestions based on the user's interests and preferences, but because they cannot consider the user's emotional state, the suggestions do not necessarily meet the user's needs. Furthermore, they often require the user to perform complex operations, resulting in a lack of convenience. Furthermore, transportation suggestions are rarely automatically provided, and users often have to make their own arrangements. It is necessary to solve these problems and provide more personalized private time suggestions based on the user's emotional state and consistent transportation arrangements.

[0398] The specific processing by the specific processing unit 290 of the data processing device 12 in the application example 2 is realized by the following means.

[0399] In this invention, the server includes a means for a user to input interest information, a means for recognizing the user's emotional state, a means for generating suggestions for the user's private time based on the interest information and emotional state, a means for making reservations and arranging transportation based on the suggestions, a means for notifying the user of details of the reservations and transportation, and a system installed in an autonomous vehicle. This allows for personalized suggestions that take the user's emotional state into consideration, enabling the user to spend their private time in a fulfilling manner without hassle.

[0400] "User" refers to an individual or organization that uses the System.

[0401] "Interest Information" refers to information about hobbies and desired activities that a User enters through the System.

[0402] "Emotional state" refers to the user's current psychological and emotional state, as recognized through facial and voice analysis.

[0403] "Private time" refers to personal time that a user can use freely, such as time spent on leisure or hobbies.

[0404] "Suggestion" refers to a plan of activities or services generated by the system based on the user's interests and emotional state.

[0405] "Reservation" means the act of reserving a proposed activity or service in advance.

[0406] "Transportation" refers to the transportation means used by the user to travel to the location of the proposed activity.

[0407] "Notification" refers to the act of communicating information sent by the system to the user.

[0408] "Server" refers to a computer device that processes and manages data for the entire system.

[0409] An "autonomous vehicle" refers to a vehicle that can be driven automatically and is used as a means of transportation for users.

[0410] "Means" refers to a method or device for achieving a particular purpose.

[0411] To realize this invention, the terminal used by the user and the system installed in the autonomous driving vehicle must each function in their respective roles.

[0412] First, the user accesses the system through a terminal (smartphone, tablet, or in-vehicle display). The user first registers and logs in. The server stores the user's registration information in a database and authenticates the login information, ensuring security.

[0413] Users enter their interests and desired activities through the interface, such as "cooking class," "yoga class," or "museum tour." The server analyzes this information and compares it with past data.

[0414] Next, an emotion engine is utilized to recognize the user's emotional state. The emotion engine uses facial recognition and voice analysis technology to recognize the user's emotions. Specifically, software such as Microsoft® Azure® Emotion API and IBM Watson® Tone Analyzer is used.

[0415] The server uses AI algorithms to generate optimal plans based on the user's input data and emotional state. For example, machine learning models such as TensorFlow and PyTorch are used. The generated suggestions include specific schedules such as "Saturday morning: cooking class" and "Saturday afternoon: museum visit."

[0416] After the user selects the desired plan, the server prompts them to enter the necessary details into a reservation form, then sends a reservation request to the relevant facility or service provider using an API, and simultaneously arranges transportation, including setting up a route for the autonomous vehicle.

[0417] Finally, the server generates reservation confirmation information and sends it to the user's device. This information includes the reservation number, facility details, and transportation details. The user can then review this information to understand the details of the plan.

[0418] To give a specific example, User A gets into an autonomous vehicle and uses the system because he or she wants to "relax." User A is interested in "cooking classes" and "visiting art museums." When the emotion engine recognizes the stress level of User A from his or her face, the system prioritizes and suggests "relaxing activities." For example, a plan may be generated that includes relaxation yoga in the morning on Saturday and a tour of local art museums in the afternoon. When User A selects this plan, the server makes reservations for the relaxation yoga and the museums and sets the route for the autonomous vehicle. The reservation confirmation information is sent to User A's device, allowing User A to spend fulfilling private time without any hassle.

[0419] And an example of a prompt is:

[0420] input:

[0421] "Tell me your current emotional state."

[0422] "Enter the places you want to go or the things you want to do (e.g. yoga, cinema, shopping)."

[0423] Generate:

[0424] "We've detected your stress level. We'll recommend a plan to help you relax."

[0425] "Choose from the following plans: Relaxation drive and spa, walk in the nature park and cafe time."

[0426] "Your selected plan has been booked. We'll begin setting up your transportation."

[0427] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[0428] Step 1:

[0429] The user accesses the system through a device (smartphone, tablet, or display inside the autonomous vehicle) to register or log in. Input includes the user ID and password, and the output is provided with access rights after authentication. The server then stores the user's registration information in a database and authenticates the login information. Specifically, the database server (for example, AWS (registered trademark) RDS) collates the user information and returns the authentication result.

[0430] Step 2:

[0431] Users input their interests and desired activities through the device interface. Examples of inputs include "cooking class," "yoga class," and "museum tour." This data is sent to the server and stored in a database. The server analyzes this information and compares it with past data. Specifically, the system analyzes the user's interest information using Natural Language Processing (NLP) algorithms (e.g., spaCy or NLTK) and retrieves related past data from the database.

[0432] Step 3:

[0433] To recognize the user's emotional state, an emotion engine uses the in-car camera and microphone. Inputs include facial expression data and tone of voice, and the output identifies the user's emotional state. Specifically, the image data captured by the camera is sent to the Microsoft Azure Emotion API, and the voice data is sent to the IBM Watson Tone Analyzer, and the results are received by the server.

[0434] Step 4:

[0435] The server uses an AI algorithm to generate an optimal plan based on the user's input data and emotional state. The input includes the user's interests and emotional state, and the output is a proposed plan. Specifically, the machine learning algorithm of the generative AI model (e.g., TensorFlow or PyTorch) processes the data and provides the user with suggestions such as "relaxation drives" and "spa experiences."

[0436] Step 5:

[0437] The user selects the desired plan from the proposed plans. The selected plan is sent to the server and a reservation form is displayed. The input includes details of the plan selected by the user, and the output generates a reservation request. Specific operations include sending the details of the selected plan to an existing API (e.g., the API of an external facility or service provider) and checking the reservation status.

[0438] Step 6:

[0439] The server arranges transportation based on the selected plan. The input includes details of the plan selected by the user, and the output is the completed transportation arrangement. Specifically, the navigation system sets the route for the autonomous vehicle and sends requests to external transportation service APIs as needed.

[0440] Step 7:

[0441] Finally, the server generates reservation confirmation information and notifies the user's device. The input includes information that the reservation and transportation arrangements have been completed, and the output generates a notification to be sent to the user's device. Specifically, the server creates a notification message containing the confirmation number, facility details, and transportation details, and sends it to the user's device.

[0442] The specific processing unit 290 transmits the result of the specific processing to the smart device 14. In the smart device 14, the control unit 46A causes the output device 40 to output the result of the specific processing. The microphone 38B acquires audio indicating a user input regarding the result of the specific processing. The control unit 46A transmits audio data indicating the user input acquired by the microphone 38B to the data processing device 12. In the data processing device 12, the specific processing unit 290 acquires the audio data.

[0443] The data generation model 58 is a so-called generative AI (Artificial Intelligence). An example of the data generation model 58 is ChatGPT (registered trademark) (Internet search engine).<URL: https: / / openai.com / blog / chatgpt> ), Gemini (registered trademark) (Internet search <url: https: gemini.google.com ?hl="ja">) and other generation AIs. The data generation model 58 is obtained by performing deep learning on a neural network. A prompt including an instruction is input to the data generation model 58, and inference data such as voice data indicating voice, text data indicating text, and image data indicating an image is also input. The data generation model 58 performs inference on the input inference data in accordance with the instruction indicated by the prompt, and outputs the inference result in a data format such as voice data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization.

[0444] In the above embodiment, an example in which the specific process is performed by the data processing device 12 has been given, but the technology of the present disclosure is not limited to this, and the specific process may be performed by the smart device 14.

[0445] [Second embodiment]

[0446] FIG. 3 shows an example of the configuration of a data processing system 210 according to the second embodiment.

[0447] 3, the data processing system 210 includes the data processing device 12 and smart glasses 214. An example of the data processing device 12 is a server.

[0448] The data processing device 12 includes a computer 22, a database 24, and a communication I / F 26. The computer 22 is an example of a "computer" according to the technology of the present disclosure. The computer 22 includes a processor 28, a RAM 30, and a storage 32. The processor 28, the RAM 30, and the storage 32 are connected to a bus 34. The database 24 and the communication I / F 26 are also connected to the bus 34. The communication I / F 26 is connected to a network 54. Examples of the network 54 include a WAN (Wide Area Network) and / or a LAN (Local Area Network).

[0449] The smart glasses 214 include a computer 36, a microphone 238, a speaker 240, a camera 42, and a communication I / F 44. The computer 36 includes a processor 46, a RAM 48, and a storage 50. The processor 46, the RAM 48, and the storage 50 are connected to a bus 52. The microphone 238, the speaker 240, and the camera 42 are also connected to the bus 52.

[0450] The microphone 238 receives instructions and the like from the user 20 by receiving voice uttered by the user 20. The microphone 238 captures the voice uttered by the user 20, converts the captured voice into audio data, and outputs it to the processor 46. The speaker 240 outputs audio in accordance with instructions from the processor 46.

[0451] Camera 42 is a small digital camera equipped with an optical system including a lens, aperture, and shutter, and an imaging element such as a CMOS (Complementary Metal-Oxide-Semiconductor) image sensor or a CCD (Charge Coupled Device) image sensor, and captures images of the surroundings of user 20 (for example, an imaging range defined by an angle of view equivalent to the field of vision of a typical healthy person).

[0452] The communication I / F 44 is connected to a network 54. The communication I / Fs 44 and 26 are responsible for the exchange of various information between the processor 46 and the processor 28 via the network 54. The exchange of various information between the processor 46 and the processor 28 using the communication I / Fs 44 and 26 is carried out in a secure state.

[0453] Fig. 4 shows an example of the main functions of the data processing device 12 and the smart glasses 214. As shown in Fig. 4, in the data processing device 12, a specific process is performed by the processor 28. A specific process program 56 is stored in the storage 32.

[0454] The specific processing program 56 is an example of a "program" according to the technology of the present disclosure. The processor 28 reads the specific processing program 56 from the storage 32 and executes the read specific processing program 56 on the RAM 30. The specific processing is realized by the processor 28 operating as a specific processing unit 290 in accordance with the specific processing program 56 executed on the RAM 30.

[0455] The storage 32 stores a data generation model 58 and an emotion identification model 59. The data generation model 58 and the emotion identification model 59 are used by the identification processing unit 290.

[0456] In the smart glasses 214, the reception output process is performed by the processor 46. A reception output program 60 is stored in the storage 50. The processor 46 reads the reception output program 60 from the storage 50 and executes the read reception output program 60 on the RAM 48. The reception output process is realized by the processor 46 operating as the control unit 46A in accordance with the reception output program 60 executed on the RAM 48.

[0457] Next, a description will be given of the identification process performed by the identification processing unit 290 of the data processing device 12. In the following description, the data processing device 12 will be referred to as the "server" and the smart glasses 214 will be referred to as the "terminal."

[0458] As an embodiment of the invention, the system provides an assistant service that allows users to use a personal concierge to consistently provide suggestions for how to spend their private time, reservations, and transportation options. The system comprises a means for users to input interest information, a means for generating suggestions based on the interest information, a means for making reservations and transportation arrangements based on the suggestions, and a means for notifying the user of details of the reservations and transportation options.

[0459] What the program does:

[0460] First, a user accesses the system using an application. The user first registers and logs in. The server stores the user's registration information in a database and authenticates the login information.

[0461] Enter your interests and preferences:

[0462] Users enter their interests and desired activities through the interface, such as "cooking class," "yoga class," or "museum tour." The server analyzes this information and compares it with past data.

[0463] Plan generation and proposal:

[0464] Next, the server uses an AI algorithm to generate the optimal plan based on the user's input data. For example, plans such as "Saturday morning: cooking class" and "Saturday afternoon: museum tour" are automatically generated. The generated plan is sent to the user's device, and the user can select the plan they like best from the ones presented.

[0465] Booking and transportation arrangements:

[0466] After selecting the desired plan, the user enters the necessary details into the reservation form. The server processes this information and sends a reservation request to the relevant facility or service provider, while also arranging transportation (such as a taxi or rental car).

[0467] Notification and confirmation:

[0468] The server generates reservation confirmation information and sends it to the user's device. This information includes the reservation number, facility details, and transportation details. The user can review this information and get a detailed understanding of the plan.

[0469] Examples:

[0470] For example, user A wants to "relax this weekend" and uses the system. User A is interested in "cooking classes" and "visiting art museums." When user A enters this information, the system generates a plan called "Saturday morning: cooking class" and "Saturday afternoon: visit art museums" and displays it on the screen. When user A selects this plan, the server makes reservations for the cooking class and the art museum, and arranges for a taxi. Reservation confirmation information is sent to user A's terminal, and user A can easily check the reservation details.

[0471] In this way, users can spend their private time in a way that suits their interests without any hassle. This system responds to the increasing number of single-person households and helps individual users to enjoy their private time efficiently.

[0472] The processing flow will be explained below.

[0473] Step 1:

[0474] User opens the sign-up page

[0475] Terminal: Display the registration page interface.

[0476] User: Enter the required information such as name, email address, and password, and click the "Register" button.

[0477] Step 2:

[0478] The server receives the user information

[0479] Server: Receives user information sent from the front end and checks it against the existing database to see if there are any duplicates.

[0480] Server: If there is no duplicate, save the new user information to the database.

[0481] Server: Send a verification email to the registered email address.

[0482] Step 3:

[0483] The user checks the verification email

[0484] User: Opens his / her email inbox and clicks the link in the verification email.

[0485] Step 4:

[0486] The server performs the authentication process

[0487] Server: Receives the authentication link and updates the corresponding user's account status to "active".

[0488] Step 5:

[0489] The user opens the login page

[0490] User: After email authentication, access the login page, enter your email address and password, and press the "Login" button.

[0491] Server: Checks credentials and authenticates user successfully.

[0492] Step 6:

[0493] Users enter their interests

[0494] Device: The user interface displays a form for entering interest information.

[0495] User: Enter their interests, such as "cooking classes," "yoga classes," or "visiting art museums," and press the "Submit" button.

[0496] Step 7:

[0497] The server receives and analyzes the input information

[0498] Server: Receives the entered interest information and stores it in a database.

[0499] Server: Analyzes the stored data and compares it with past user data.

[0500] Step 8:

[0501] The server generates a plan

[0502] Server: Based on the user's interests, an AI algorithm is used to generate the optimal plan, such as "Saturday morning: cooking class" or "Saturday afternoon: museum tour."

[0503] Server: Sends the generated plan information to the user's device.

[0504] Step 9:

[0505] The user confirms and selects a plan

[0506] Device: The proposed plan is displayed on the user's device.

[0507] User: Review the plans offered and select the one they like best.

[0508] Step 10:

[0509] The server performs the reservation procedure.

[0510] Server: Calls the API of the reservation channel (facility / service provider) to obtain detailed information about the plan selected by the user and proceed with the reservation procedure.

[0511] Server: Sends reservation requests to each facility or service provider, and the reservation is confirmed.

[0512] Step 11:

[0513] The server arranges transportation

[0514] Server: Uses the APIs of transportation providers to arrange taxis and rental cars for users.

[0515] Step 12:

[0516] The server generates the booking and transportation details

[0517] Server: Generates reservation confirmation information and transportation details, and creates a message to notify the user.

[0518] Step 13:

[0519] The server sends the details to the user

[0520] Server: Generates and sends a confirmation message to the user's device, which includes the reservation number, facility details, and transportation information.

[0521] Terminal: Display the received confirmation message and notify the user.

[0522] Step 14:

[0523] The user confirms the reservation

[0524] User: Check the confirmation message displayed on their device to confirm their reservation and transportation details.

[0525] In this way, users can receive support to spend their private time in a way that suits their interests without any hassle.

[0526] Example 1

[0527] Next, a description will be given of Example 1. In the following description, the data processing device 12 will be referred to as a "server" and the smart glasses 214 will be referred to as a "terminal."

[0528] In today's world, individuals have limited means to efficiently plan their private time and spend it productively. Conventional methods require a lot of time and effort, making it difficult to arrange appropriate activities and transportation. In particular, the lack of a system that automatically generates plans tailored to users' interests forces users to manually gather information, resulting in a waste of resources.

[0529] The specific processing by the specific processing unit 290 of the data processing device 12 in the first embodiment is realized by the following means.

[0530] In this invention, the server includes means for a user to input interest information, means for registering and authenticating a user account, means for generating proposals based on the interest information, means for making reservations and arranging transportation based on the proposals, means for notifying the user of details of the reservations and transportation, means for using an algorithm to analyze the interest information, means for generating an optimal plan by analyzing the user's past data, and means for sending a reservation request using the APIs of external facilities and service providers. This allows users to easily generate optimal plans based on their own interests and make consistent reservations and transportation arrangements.

[0531] "User" refers to an individual who uses the system.

[0532] "Interest Information" refers to information related to activities and hobbies entered by a User.

[0533] "Suggestions" refer to private time plans generated based on the user's interests and past data.

[0534] "Reservation" means the reservation of a date and time for a proposed activity or facility use.

[0535] "Transportation" refers to the means of transportation used to travel to facilities and activities (e.g., taxis, rental cars, etc.).

[0536] "Details" means specific information about your Booking and Transportation.

[0537] "Means" refers to the technical methods or devices used by the system to achieve a specific function.

[0538] "Server" refers to a computer system that processes user requests and stores and manages data.

[0539] "Terminal" refers to the device used by the user (e.g., smartphone, tablet, PC, etc.).

[0540] "Algorithm" refers to the computational procedures used to analyze a user's data and generate an optimal plan.

[0541] "API" refers to an interface for using functions with external facilities and service providers.

[0542] "Database" refers to a system for storing and managing user information and past data.

[0543] This invention provides a system that suggests ways for users to spend their private time based on their interests and concerns, and consistently provides reservations and transportation options. The system inputs and processes information through user operations, and provides the user with the optimal plan. The specific implementation method of the system is shown below.

[0544] First, the user accesses the system using a dedicated application. The user enters the required information (user name, password, email address, etc.) on the new registration screen to create an account. Next, the user can start using the system by logging in with the created account.

[0545] Hardware and Software

[0546] Server: Uses a high-performance computer system (e.g., Linux server, Windows server) to manage a database (e.g., MySQL, PostgreSQL), and implements programs that run on the server using programming languages ​​such as Python and JavaScript.

[0547] Device: The application runs on the device used by the user (e.g., smartphone, tablet, PC). It is provided as an iOS or Android application.

[0548] Algorithms: We use AI algorithms (e.g., Sci-kit Learn, TensorFlow) to analyze user interests.

[0549] API: We use APIs of external facilities and service providers (e.g., OpenTable API, Uber API) to submit reservation requests and arrange transportation.

[0550] Data processing and calculation

[0551] Registration and authentication: The information entered by the user is sent to the server and stored in a database. Registration information is managed securely using encryption technology (e.g., SSL / TLS).

[0552] Input and analysis of interest information: Users input their interest information through the interface. The input information is sent to the server in JSON format and analyzed on the server side. At that time, the user's preferences are detected by comparing it with past data.

[0553] Plan Generation: The server uses an AI algorithm based on the user's interests to generate an optimal plan, including date, time, and activity details.

[0554] Reservation and transportation arrangement: Once the user selects a plan, the server uses API to send a reservation request to the facility or service provider, and also arranges transportation using API.

[0555] Notification: Reservation and transportation details are sent from the server to the user's device and displayed on the screen.

[0556] Specific examples

[0557] For example, User A wants to "refresh this weekend" and uses the system. User A starts the application and registers. Then, he logs in and enters that he is interested in "cooking classes" and "visiting art museums." The server analyzes this information and uses an AI algorithm to generate a plan such as "Saturday morning: cooking class" and "Saturday afternoon: visit art museums." When User A selects a plan, the server immediately reserves the facilities and arranges transportation, and sends confirmation information to User A's device.

[0558] Prompt Sentence Examples

[0559] An example of a prompt to enter into the system is the following:

[0560] "If a user has a request to 'refresh,' explain how the system generates a plan, arranges the reservation, and provides transportation."

[0561] This allows users to easily enrich their private time and enjoy efficient assistance services that address the growing number of single-person households.

[0562] The flow of the identification process in the first embodiment will be described with reference to FIG.

[0563] Processing Steps

[0564] Step 1: User Registration and Login

[0565] User: Launches the application and goes to the new registration screen. Enters the required information such as username, password, and email address, and clicks the "Register" button.

[0566] Input: Username, Password, Email Address.

[0567] Server: Receives the entered information and stores it in the database. If the save is successful, sends a confirmation email to the user.

[0568] Output: Confirmation email.

[0569] Users: Receive a confirmation email and click the link to activate their account, then enter their username and password on the login screen and click the "Login" button.

[0570] Input: Login information (username, password).

[0571] Server: Authenticates the login information, and if authentication is successful, returns information to display the dashboard screen.

[0572] Output: Authentication results, dashboard information.

[0573] Step 2: Enter your interests and preferences

[0574] User: Go to the "Enter Interests and Preferences" section of the dashboard, enter the activities you're interested in (e.g., cooking class, yoga class, museum visit) and click the "Submit" button.

[0575] Input: Interests.

[0576] Terminal: Sends the entered information to the server in JSON format.

[0577] Server: Analyzes the received JSON data and compares it with past data to detect the user's preferences.

[0578] Data processing: JSON analysis, comparison with past data.

[0579] Output: Analysis results.

[0580] Step 3: Plan generation and proposal

[0581] Server: Based on the received analysis results, the AI ​​algorithm is run to generate the optimal plan. The algorithm uses Sci-kit Learn and TensorFlow.

[0582] Input: Analysis results.

[0583] Data calculation: Plan generation using AI algorithms.

[0584] Output: The generated plan.

[0585] Server: Sends the generated plan in JSON format to the terminal.

[0586] Terminal: Displays the received plan information on the user interface.

[0587] User: Select the plan they like best from the ones presented.

[0588] Step 4: Make your booking and arrange transportation

[0589] User: Select the plan you want and click the "Enter details" button. Enter the required information (e.g., name, contact information, desired date and time) in the reservation form that appears next.

[0590] Input: Reservation information.

[0591] Terminal: Sends the entered information to the server in JSON format.

[0592] Server: Processes the received information. Calls the reservation system (e.g., OpenTable API, Resy API) to send a reservation request to the relevant facility or service provider. At the same time, calls the API of Uber or Lyft to arrange transportation and arranges a taxi.

[0593] Data calculation: processing reservation information, API calls.

[0594] Output: Reservation confirmation information, transportation arrangement information.

[0595] Step 5: Notification and confirmation

[0596] Server: Generates and sends reservation confirmation and transportation details to the user's device, including reservation number, facility details, and transportation details.

[0597] Input: Reservation information, transportation information.

[0598] Output: Final confirmation information.

[0599] Terminal: Reflects the received information in a display element (e.g., a dialog box) and notifies the user.

[0600] Users: Check notifications and find out more.

[0601] Through the above processing steps, users can generate the optimal plan based on their own interests and concerns, and then complete the reservation process and transportation arrangements in a seamless manner.

[0602] (Application example 1)

[0603] Next, a description will be given of Application Example 1. In the following description, the data processing device 12 will be referred to as a "server" and the smart glasses 214 will be referred to as a "terminal."

[0604] On conventional online shopping sites, users had to search for products individually, check the details of each product, and then proceed with the purchase process, which was cumbersome and time-consuming.In addition, there was no system that suggested optimal products based on the user's interests, or provided consistent support for the purchase process and delivery arrangements, making it difficult for users to efficiently find products that matched their preferences and needs.

[0605] The specific processing by the specific processing unit 290 of the data processing device 12 in the application example 1 is realized by the following means.

[0606] In this invention, the server includes a means for a user to input interest information, a means for generating suggestions for the user's private time or products based on the interest information, a means for making reservations and transportation means or product purchase procedures and delivery arrangements based on the suggestions, and a means for notifying the user of details of the reservations and transportation means or product purchase procedures and delivery arrangements. This allows the user to receive suggestions for optimal products and services based on their interests and easily purchase and use them.

[0607] "User" means an individual or legal entity who uses the System to enter interest information and receive suggestions.

[0608] "Interest information" is information entered by a user regarding their hobbies and preferences, including, for example, specific product categories or types of services.

[0609] "Proposals" are plans and product lists that are optimized to meet the user's needs and are generated based on the user's interests and concerns.

[0610] "Reservation" refers to the process by which a user reserves in advance the use of a specific facility or service based on a proposed plan.

[0611] "Transportation" refers to arranging the transportation necessary for the user to use the proposed plan, and examples include taxis and rental cars.

[0612] "Purchase procedure" refers to the procedure by which a user purchases a suggested product online or offline.

[0613] "Delivery Arrangement" means arranging for delivery of purchased items to a specified location.

[0614] "Detailed information" refers to specific data relating to reservation and purchase procedures, transportation and delivery arrangements, including reservation numbers, facility details, transportation details, delivery information, etc.

[0615] The "System" refers to a collection of computer networks and software that performs a series of processes, including inputting user interest information, generating suggestions for the user's private time or products, making reservations or purchasing procedures and arrangements based on those suggestions, and notifying users of detailed information.

[0616] A "generative AI model" is an artificial intelligence algorithm used to analyze a user's interests and past data to generate optimal suggestions.

[0617] A "prompt" is a document containing information about a user's interests that is input to a generative AI model, and suggestions are generated based on this document.

[0618] The system of this invention allows users to input information about their interests and concerns, and based on that information, it makes optimal suggestions, and then consistently provides reservations, transportation arrangements, or product purchase procedures and delivery arrangements. Specific implementation methods for this system are described below.

[0619] This system is composed of multiple hardware and software components. Users access the system using a device such as a smartphone. The device is equipped with a user interface, through which users can input their own interests and concerns. The information entered by the user is sent to a server via the Internet.

[0620] The server is built using a web framework such as Flask and has the ability to receive and process user input data. The server is connected to a database that stores user past data and information on interests and concerns, and user information is managed here.

[0621] The server uses a generative AI model to generate optimal suggestions based on the user's input interest information and past data. This generative AI model is implemented using, for example, a Python machine learning library. The generated suggestions are sent from the server to the user's device and displayed on the user interface.

[0622] When a user selects a desired plan or product from the proposed options, the server uses that information to process reservations and arrange transportation, or to process product purchases and arrange delivery. This uses the APIs of external facilities, service providers, and product providers. Specifically, a reservation request or purchase request is sent to an external system, and once confirmation is received, the details are sent to the user's device.

[0623] For example, if User B enters "I'm interested in useful kitchen gadgets," the server uses the generative AI model to generate optimal product suggestions such as "Mixer Grinder," "Blender," and "Air Fryer," and sends them to the user's device. When User B selects "Blender" and proceeds with the purchase, the server uses the API of the relevant product provider to send a purchase request and arrange for delivery. Order confirmation information is sent from the server to User B's device, including the reservation number and delivery details.

[0624] Specific examples of prompt sentences are as follows:

[0625] example:

[0626] "User B is interested in useful kitchen gadgets."

[0627] In this way, users can easily purchase and use the most suitable products and services based on their interests without any hassle.

[0628] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[0629] Step 1:

[0630] A user accesses the system using a smartphone terminal. The user opens the application and the login screen appears. The user enters their username and password and sends an authentication request to the server. The server references the database and verifies the entered authentication information. If the authentication is successful, the user proceeds to the main screen.

[0631] Step 2:

[0632] The user enters their interests on the main screen. For example, they might enter, "I'm interested in useful kitchen gadgets." This information is sent to the server, which receives this input and feeds it into a generative AI model as a prompt. This model then generates optimal suggestions based on the input information.

[0633] Step 3:

[0634] The server uses the generative AI model to analyze the user's interests and generate appropriate product suggestions. For example, suggestions such as "Mixer Grinder," "Blender," and "Air Fryer" may be generated. These suggestions are sent from the server to the user's device and displayed on the screen.

[0635] Step 4:

[0636] The user selects the desired product from the displayed suggestions. For example, they select "Blender." The selected information is sent to the server. The server retrieves the information about the selected product and starts the purchase process.

[0637] Step 5:

[0638] The server uses the API of an external product provider to proceed with the user's purchase. A purchase request is sent to the product provider, and the purchase is confirmed. At the same time, delivery arrangements are made. Information on delivery arrangements is also made using the external API, and the necessary information is sent to the delivery company, etc.

[0639] Step 6:

[0640] The server generates detailed information about the purchase process and delivery arrangements and sends it to the user's device. This information includes the order number, product name, estimated delivery date, etc. The user receives this notification and can check the details.

[0641] Step 7:

[0642] The user receives the product delivery. The delivery person delivers the product to the specified address. The completion of delivery marks the end of the series of purchase and delivery arrangement processes.

[0643] Furthermore, an emotion engine that estimates the user's emotion may be further combined. That is, the identification processing unit 290 may estimate the user's emotion using the emotion identification model 59, and perform identification processing using the user's emotion.

[0644] This invention relates to an assistant service that provides users with a personalized concierge service that offers suggestions for how to spend their private time, reservations, and transportation options. The system aims to provide more personalized suggestions by combining a conventional suggestion system with an emotion engine that recognizes the user's emotions.

[0645] What the program does:

[0646] First, a user accesses the system using an application. The user first registers and logs in. The server stores the user's registration information in a database and authenticates the login information.

[0647] Enter your interests and preferences:

[0648] Users enter their interests and desired activities through the interface, such as "cooking class," "yoga class," or "museum tour." The server analyzes this information and compares it with past data.

[0649] Recognizing user emotions:

[0650] An emotion engine is used to recognize the user's current emotional state. The emotion engine can recognize the user's emotions using facial expression recognition or voice analysis techniques.

[0651] Plan generation and proposal:

[0652] Next, the server uses an AI algorithm to generate an optimal plan based on the user's input data and emotional state. For example, a plan such as "Saturday morning: cooking class" or "Saturday afternoon: museum tour" is automatically generated. The priority of suggestions is adjusted based on the emotional information recognized by the emotion engine. For example, if the user is feeling stressed, it can prioritize relaxing activities. The generated plan is sent to the user's device, and the user can select the plan they like best from the ones presented.

[0653] Booking and transportation arrangements:

[0654] After selecting the desired plan, the user enters the necessary details into the reservation form. The server processes this information and sends a reservation request to the relevant facility or service provider, while also arranging transportation (such as a taxi or rental car).

[0655] Notification and confirmation:

[0656] The server generates reservation confirmation information and sends it to the user's device. This information includes the reservation number, facility details, and transportation details. The user can review this information and get a detailed understanding of the plan.

[0657] Examples:

[0658] For example, User A wants to "relax this weekend" and uses the system. User A is interested in "cooking classes" and "visiting art museums." When the emotion engine recognizes the stress level of User A from his / her face, the system prioritizes "relaxing activities." A plan is generated that includes relaxation yoga in the Saturday morning and a visit to local art museums in the afternoon, and is displayed on the screen.

[0659] When User A selects this plan, the server makes reservations for relaxation yoga and the art museum, and arranges a taxi. Reservation confirmation information is sent to User A's terminal, allowing User A to easily check the reservation details.

[0660] In this way, users can spend their private time in a way that suits their interests and emotional state without any effort. This system responds to the increasing number of single-person households and helps individual users enjoy their private time efficiently.

[0661] The processing flow will be explained below.

[0662] Step 1:

[0663] User opens the sign-up page

[0664] Terminal: Display the registration page interface.

[0665] User: Enter the required information such as name, email address, and password, and click the "Register" button.

[0666] Step 2:

[0667] The server receives the user information

[0668] Server: Receives user information sent from the front end and checks it against the existing database to see if there are any duplicates.

[0669] Server: If there is no duplicate, save the new user information to the database.

[0670] Server: Send a verification email to the registered email address.

[0671] Step 3:

[0672] The user checks the verification email

[0673] User: Opens his / her email inbox and clicks the link in the verification email.

[0674] Step 4:

[0675] The server performs the authentication process

[0676] Server: Receives the authentication link and updates the corresponding user's account status to "active".

[0677] Step 5:

[0678] The user opens the login page

[0679] User: After email authentication, access the login page, enter your email address and password, and press the "Login" button.

[0680] Server: Checks credentials and authenticates user successfully.

[0681] Step 6:

[0682] Users enter their interests

[0683] Device: The user interface displays a form for entering interest information.

[0684] User: Enter their interests, such as "cooking classes," "yoga classes," or "visiting art museums," and press the "Submit" button.

[0685] Step 7:

[0686] The server receives and analyzes the input information

[0687] Server: Receives the entered interest information and stores it in a database.

[0688] Server: Analyzes the stored data and compares it with past user data.

[0689] Step 8:

[0690] Recognizing the user's emotional state

[0691] Device: Activate the emotion recognition camera and capture the user's facial expressions.

[0692] User: Show your face in front of the camera.

[0693] Emotion engine: Analyzes the user's emotional state using facial expression recognition or voice analysis technology.

[0694] Server: Receives the recognized emotion data and stores the analysis results in a database.

[0695] Step 9:

[0696] The server generates the proposal

[0697] Server: Based on the user's input data and emotional state, the AI ​​algorithm generates the optimal plan. For example, if the user is feeling stressed, it will prioritize relaxing activities.

[0698] Server: Sends the generated plan information to the user's device.

[0699] Step 10:

[0700] The user confirms and selects a plan

[0701] Device: The proposed plan is displayed on the user's device.

[0702] User: Review the plans offered and select the one they like best.

[0703] Step 11:

[0704] The server performs the reservation procedure.

[0705] Server: Calls the API of the reservation channel (facility / service provider) to obtain detailed information about the plan selected by the user and proceed with the reservation procedure.

[0706] Server: Sends reservation requests to each facility or service provider, and the reservation is confirmed.

[0707] Step 12:

[0708] The server arranges transportation

[0709] Server: Uses the APIs of transportation providers to arrange taxis and rental cars for users.

[0710] Step 13:

[0711] The server generates the booking and transportation details

[0712] Server: Generates reservation confirmation information and transportation details, and creates a message to notify the user.

[0713] Step 14:

[0714] The server sends the details to the user

[0715] Server: Generates and sends a confirmation message to the user's device, which includes the reservation number, facility details, and transportation information.

[0716] Terminal: Display the received confirmation message and notify the user.

[0717] Step 15:

[0718] The user confirms the reservation

[0719] User: Check the confirmation message displayed on their device to confirm their reservation and transportation details.

[0720] In this way, users can receive support to spend their private time in a way that suits their interests and emotional state without any hassle.

[0721] Example 2

[0722] Next, a description will be given of Example 2. In the following description, the data processing device 12 will be referred to as a "server" and the smart glasses 214 will be referred to as a "terminal."

[0723] Conventional recommendation systems based on user interests and concerns make uniform suggestions without considering the user's emotional state, which means they have the problem of not being able to adequately respond to the individual needs of users. In particular, there is a lack of private time suggestions that take into account the user's stress and emotional fluctuations, which means that they are unable to provide services that truly satisfy users.

[0724] The specific processing by the specific processing unit 290 of the data processing device 12 in the second embodiment is realized by the following means.

[0725] In this invention, the server includes a means for a user to input interest information, a means for recognizing the user's emotional state, a means for generating suggestions based on the interest information and the recognized emotional state, a means for arranging reservations and transportation, and a means for notifying the user of details of reservations and transportation, thereby enabling personalized private time suggestions and a consistent reservation process that take into account the user's emotional state.

[0726] A "user" is an individual who utilizes the system to receive offers and reservations for private time.

[0727] "Interest Information" is information about activities that a user is interested in or desires to do that user inputs into the system.

[0728] "Emotional state" is information that indicates the user's current emotions and psychological state.

[0729] An "emotion engine" is a system component that includes techniques and algorithms for recognizing a user's emotional state.

[0730] "Suggestions" are recommendations for activities and activities for private time that the system generates based on the user's interests and emotional state.

[0731] "Reservation" is the process of applying in advance for a particular facility or service based on a proposal selected by the user.

[0732] "Transportation" refers to the means of transportation that a user uses to travel to a proposed activity or facility.

[0733] "Notification" is an information transmission method by which the server notifies the user of detailed information about reservations and transportation means.

[0734] "Facility" refers to the location where the user will perform the proposed activity.

[0735] "Service provider" refers to a company or organization that provides services such as activities and transportation to users.

[0736] MODE FOR CARRYING OUT THE INVENTION

[0737] This invention relates to an assistant service that provides users with a personalized concierge service that offers suggestions for how to spend their private time, reservations, and transportation options. The system aims to provide more personalized suggestions by combining a conventional suggestion system with an emotion engine that recognizes the user's emotions.

[0738] User Registration and Login Authentication

[0739] A user starts the application on a device such as a smartphone or tablet and enters their name, email address, and password on the registration screen. The server stores the entered information in a database such as MySQL. The user then logs in with their registered email address and password, and once authenticated, is redirected to the home screen.

[0740] Input of user interests and wishes

[0741] Through an interface within the application, users input their interests and desired activities, such as "cooking class," "yoga class," or "museum tour." The server collects this information, stores it in a database, and then analyzes the data using Python's Pandas library.

[0742] Recognizing user emotions

[0743] When a user activates the emotion recognition feature within the app, the device's camera and microphone are used to capture facial expressions and record audio. The server then analyzes the facial expressions using OpenCV and Dlib, and the voice characteristics using the Google Cloud Speech-to-Text API, thereby recognizing the user's current emotional state.

[0744] Plan generation and proposal

[0745] The server uses an AI algorithm to generate an optimal plan based on the user's input data and the user's recognized emotional state. In this case, TensorFlow or PyTorch is used. For example, if the user is feeling stressed, it will prioritize relaxing activities. The generated plan is displayed on the screen and may be presented as follows:

[0746] "Saturday Morning: Relaxation Yoga"

[0747] "Saturday Afternoon: Museum Tour"

[0748] Booking and transportation arrangements

[0749] The user selects the desired plan and enters the necessary details into the booking form. The server processes this information and sends a booking request to the relevant facility or service provider, while simultaneously arranging for a taxi or car rental using integration technologies such as Twilio.

[0750] Notification and confirmation

[0751] The server generates a reservation confirmation and sends it to the user's device via Firebase Cloud Messaging (FCM), which includes the reservation number, facility details, and transportation details. The user can then review the information displayed on their device and get a detailed understanding of the plan.

[0752] Specific examples

[0753] For example, user A wants to relax on the weekend and uses the system. User A is interested in "cooking classes" and "visiting art museums." When the emotion engine recognizes user A's stress level, the system prioritizes and suggests "relaxing activities." The generated plan is "Saturday morning: relaxation yoga, Saturday afternoon: visiting art museums." When user A selects this plan, the server makes reservations for relaxation yoga and the art museums and arranges for a taxi. Reservation confirmation information is sent to user A's terminal, where user A can check it.

[0754] Example prompts to input to the generative AI model

[0755] You might use a prompt like this:

[0756] "I'd like some suggestions for relaxing activities this weekend."

[0757] "I'm interested in cooking classes and visiting art museums."

[0758] "I'm feeling stressed, so I want to prioritize relaxing plans."

[0759] By using this system, users can spend their private time meaningfully in a way that suits their interests and emotional state without any hassle.

[0760] The flow of the identification process in the second embodiment will be described with reference to FIG.

[0761] A detailed explanation of the program's processing flow

[0762] Step 1: User Registration and Login Authentication

[0763] input:

[0764] The name, email address, and password that the user enters into the application.

[0765] process:

[0766] A user launches an application: A user launches an application on a device such as a smartphone or tablet.

[0767] User enters registration information: User enters name, email address, password and presses "Register" button.

[0768] The server stores the registration information: The server stores the information entered in a database such as MySQL and confirms that the registration is complete.

[0769] User logs in: The user accesses the login screen with their registered email address and password and logs in.

[0770] The server performs authentication: The server checks the information against its database to verify that the combination is correct.

[0771] output:

[0772] The user successfully logs in and is redirected to the home screen.

[0773] Step 2: Enter your interests and preferences

[0774] input:

[0775] Users enter their interests and desired activities, such as "cooking class," "yoga class," or "museum tour."

[0776] process:

[0777] User enters their interest and desired activities: Users enter their interests and desired activities into the application's interface.

[0778] The server receives the inputs: The server receives these inputs and stores them in a database.

[0779] The server analyzes the input information: The server uses Python's Pandas library to analyze the input data and compare it with the user's interests and past data.

[0780] output:

[0781] Based on the analysis results, user interest data is stored in a database.

[0782] Step 3: Recognizing user emotions

[0783] input:

[0784] Facial expression data captured by the device's camera and audio data recorded by the microphone.

[0785] process:

[0786] User initiates emotion engine: The user initiates emotion recognition within the application.

[0787] The device collects emotion data using the camera and microphone: The device's camera captures the user's face and the microphone records their voice.

[0788] Server analyzes emotion data: The server analyzes facial expressions using OpenCV and Dlib, and voice characteristics using Google Cloud Speech-to-Text API.

[0789] output:

[0790] The user's current emotional state is recognized and stored in a database.

[0791] Step 4: Generate and propose a plan

[0792] input:

[0793] User interest data, emotional state data.

[0794] process:

[0795] The server generates a plan using an AI algorithm: The server uses TensorFlow or PyTorch to generate an optimal plan based on the user's interest data and emotional state.

[0796] The server sends the generated plan to the user's terminal: The generated plan is sent to the user's terminal and displayed on the screen.

[0797] output:

[0798] Plans presented to users, such as "Saturday morning: Relaxation yoga" or "Saturday afternoon: Museum visit."

[0799] Step 5: Make your booking and arrange transportation

[0800] input:

[0801] The plan you select and the name and contact information you enter in the booking form.

[0802] process:

[0803] User selects desired plan: User selects the plan they like and fills in the details.

[0804] The server processes the reservation information: The server processes the information entered and sends the reservation request to the relevant facility or service provider.

[0805] Server arranges transportation: The server uses integration technology such as Twilio to arrange taxis or rental cars.

[0806] output:

[0807] A booking confirmation and transportation details are generated.

[0808] Step 6: Notification and confirmation

[0809] input:

[0810] Booking confirmation and transportation details.

[0811] process:

[0812] Server generates booking confirmation: The server generates the information including the booking number, facility details, and transportation details.

[0813] The server sends information to the user device: Information is sent to the user device via Firebase Cloud Messaging (FCM).

[0814] User confirms reservation confirmation information: The user confirms the information displayed on the device and understands the details of the plan.

[0815] output:

[0816] Booking confirmation information and transportation details provided to the user.

[0817] (Application example 2)

[0818] Next, a description will be given of Application Example 2. In the following description, the data processing device 12 will be referred to as a "server" and the smart glasses 214 will be referred to as a "terminal."

[0819] Conventional private time suggestion systems make suggestions based on the user's interests and preferences, but because they cannot consider the user's emotional state, the suggestions do not necessarily meet the user's needs. Furthermore, they often require the user to perform complex operations, resulting in a lack of convenience. Furthermore, transportation suggestions are rarely automatically provided, and users often have to make their own arrangements. It is necessary to solve these problems and provide more personalized private time suggestions based on the user's emotional state and consistent transportation arrangements.

[0820] The specific processing by the specific processing unit 290 of the data processing device 12 in the application example 2 is realized by the following means.

[0821] In this invention, the server includes a means for a user to input interest information, a means for recognizing the user's emotional state, a means for generating suggestions for the user's private time based on the interest information and emotional state, a means for making reservations and arranging transportation based on the suggestions, a means for notifying the user of details of the reservations and transportation, and a system installed in an autonomous vehicle. This allows for personalized suggestions that take the user's emotional state into consideration, enabling the user to spend their private time in a fulfilling manner without hassle.

[0822] "User" refers to an individual or organization that uses the System.

[0823] "Interest Information" refers to information about hobbies and desired activities that a User enters through the System.

[0824] "Emotional state" refers to the user's current psychological and emotional state, as recognized through facial and voice analysis.

[0825] "Private time" refers to personal time that a user can use freely, such as time spent on leisure or hobbies.

[0826] "Suggestion" refers to a plan of activities or services generated by the system based on the user's interests and emotional state.

[0827] "Reservation" means the act of reserving a proposed activity or service in advance.

[0828] "Transportation" refers to the transportation means used by the user to travel to the location of the proposed activity.

[0829] "Notification" refers to the act of communicating information sent by the system to the user.

[0830] "Server" refers to a computer device that processes and manages data for the entire system.

[0831] An "autonomous vehicle" refers to a vehicle that can be driven automatically and is used as a means of transportation for users.

[0832] "Means" refers to a method or device for achieving a particular purpose.

[0833] To realize this invention, the terminal used by the user and the system installed in the autonomous driving vehicle must each function in their respective roles.

[0834] First, the user accesses the system through a terminal (smartphone, tablet, or in-vehicle display). The user first registers and logs in. The server stores the user's registration information in a database and authenticates the login information, ensuring security.

[0835] Users enter their interests and desired activities through the interface, such as "cooking class," "yoga class," or "museum tour." The server analyzes this information and compares it with past data.

[0836] Next, an emotion engine is used to recognize the user's emotional state. The emotion engine uses facial recognition and voice analysis technology to recognize the user's emotions. Specifically, software such as Microsoft Azure Emotion API and IBM Watson Tone Analyzer is used.

[0837] The server uses AI algorithms to generate optimal plans based on the user's input data and emotional state. For example, machine learning models such as TensorFlow and PyTorch are used. The generated suggestions include specific schedules such as "Saturday morning: cooking class" and "Saturday afternoon: museum visit."

[0838] After the user selects the desired plan, the server prompts them to enter the necessary details into a reservation form, then sends a reservation request to the relevant facility or service provider using an API, and simultaneously arranges transportation, including setting up a route for the autonomous vehicle.

[0839] Finally, the server generates reservation confirmation information and sends it to the user's device. This information includes the reservation number, facility details, and transportation details. The user can then review this information to understand the details of the plan.

[0840] To give a specific example, User A gets into an autonomous vehicle and uses the system because he or she wants to "relax." User A is interested in "cooking classes" and "visiting art museums." When the emotion engine recognizes the stress level of User A from his or her face, the system prioritizes and suggests "relaxing activities." For example, a plan may be generated that includes relaxation yoga in the morning on Saturday and a tour of local art museums in the afternoon. When User A selects this plan, the server makes reservations for the relaxation yoga and the museums and sets the route for the autonomous vehicle. The reservation confirmation information is sent to User A's device, allowing User A to spend fulfilling private time without any hassle.

[0841] And an example of a prompt is:

[0842] input:

[0843] "Tell me your current emotional state."

[0844] "Enter the places you want to go or the things you want to do (e.g. yoga, cinema, shopping)."

[0845] Generate:

[0846] "We've detected your stress level. We'll recommend a plan to help you relax."

[0847] "Choose from the following plans: Relaxation drive and spa, walk in the nature park and cafe time."

[0848] "Your selected plan has been booked. We'll begin setting up your transportation."

[0849] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[0850] Step 1:

[0851] The user accesses the system through a device (smartphone, tablet, or display inside the autonomous vehicle) to register or log in. Input includes the user ID and password, and the output is provided with access rights after authentication. The server then stores the user's registration information in a database and authenticates the login information. Specifically, the system collates the user information with a database server (e.g., AWS RDS) and returns the authentication result.

[0852] Step 2:

[0853] Users input their interests and desired activities through the device interface. Examples of inputs include "cooking class," "yoga class," and "museum tour." This data is sent to the server and stored in a database. The server analyzes this information and compares it with past data. Specifically, the system analyzes the user's interest information using Natural Language Processing (NLP) algorithms (e.g., spaCy or NLTK) and retrieves related past data from the database.

[0854] Step 3:

[0855] To recognize the user's emotional state, an emotion engine uses the in-car camera and microphone. Inputs include facial expression data and tone of voice, and the output identifies the user's emotional state. Specifically, the image data captured by the camera is sent to the Microsoft Azure Emotion API, and the voice data is sent to the IBM Watson Tone Analyzer, and the results are received by the server.

[0856] Step 4:

[0857] The server uses an AI algorithm to generate an optimal plan based on the user's input data and emotional state. The input includes the user's interests and emotional state, and the output is a proposed plan. Specifically, the machine learning algorithm of the generative AI model (e.g., TensorFlow or PyTorch) processes the data and provides the user with suggestions such as "relaxation drives" and "spa experiences."

[0858] Step 5:

[0859] The user selects the desired plan from the proposed plans. The selected plan is sent to the server and a reservation form is displayed. The input includes details of the plan selected by the user, and the output generates a reservation request. Specific operations include sending the details of the selected plan to an existing API (e.g., the API of an external facility or service provider) and checking the reservation status.

[0860] Step 6:

[0861] The server arranges transportation based on the selected plan. The input includes details of the plan selected by the user, and the output is the completed transportation arrangement. Specifically, the navigation system sets the route for the autonomous vehicle and sends requests to external transportation service APIs as needed.

[0862] Step 7:

[0863] Finally, the server generates reservation confirmation information and notifies the user's device. The input includes information that the reservation and transportation arrangements have been completed, and the output generates a notification to be sent to the user's device. Specifically, the server creates a notification message containing the confirmation number, facility details, and transportation details, and sends it to the user's device.

[0864] The specific processing unit 290 transmits the result of the specific processing to the smart glasses 214. In the smart glasses 214, the control unit 46A causes the speaker 240 to output the result of the specific processing. The microphone 238 acquires audio indicating a user input regarding the result of the specific processing. The control unit 46A transmits audio data indicating the user input acquired by the microphone 238 to the data processing device 12. In the data processing device 12, the specific processing unit 290 acquires the audio data.

[0865] The data generation model 58 is a so-called generative AI (Artificial Intelligence). An example of the data generation model 58 is ChatGPT (Internet Search<URL: https: / / openai.com / blog / chatgpt> ), Gemini (Internet search <url: https: gemini.google.com ?hl="ja">) and other generation AIs. The data generation model 58 is obtained by performing deep learning on a neural network. A prompt including an instruction is input to the data generation model 58, and inference data such as voice data indicating voice, text data indicating text, and image data indicating an image is also input. The data generation model 58 performs inference on the input inference data in accordance with the instruction indicated by the prompt, and outputs the inference result in a data format such as voice data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization.

[0866] In the above embodiment, an example in which the specific processing is performed by the data processing device 12 has been given, but the technology of the present disclosure is not limited to this, and the specific processing may be performed by the smart glasses 214.

[0867] [Third embodiment]

[0868] FIG. 5 shows an example of the configuration of a data processing system 310 according to the third embodiment.

[0869] 5, the data processing system 310 includes the data processing device 12 and a headset terminal 314. An example of the data processing device 12 is a server.

[0870] The data processing device 12 includes a computer 22, a database 24, and a communication I / F 26. The computer 22 is an example of a "computer" according to the technology of the present disclosure. The computer 22 includes a processor 28, a RAM 30, and a storage 32. The processor 28, the RAM 30, and the storage 32 are connected to a bus 34. The database 24 and the communication I / F 26 are also connected to the bus 34. The communication I / F 26 is connected to a network 54. Examples of the network 54 include a WAN (Wide Area Network) and / or a LAN (Local Area Network).

[0871] The headset type terminal 314 includes a computer 36, a microphone 238, a speaker 240, a camera 42, a communication I / F 44, and a display 343. The computer 36 includes a processor 46, a RAM 48, and a storage 50. The processor 46, the RAM 48, and the storage 50 are connected to a bus 52. The microphone 238, the speaker 240, the camera 42, and the display 343 are also connected to the bus 52.

[0872] The microphone 238 receives instructions and the like from the user 20 by receiving voice uttered by the user 20. The microphone 238 captures the voice uttered by the user 20, converts the captured voice into audio data, and outputs it to the processor 46. The speaker 240 outputs audio in accordance with instructions from the processor 46.

[0873] Camera 42 is a small digital camera equipped with an optical system including a lens, aperture, and shutter, and an imaging element such as a CMOS (Complementary Metal-Oxide-Semiconductor) image sensor or a CCD (Charge Coupled Device) image sensor, and captures images of the surroundings of user 20 (for example, an imaging range defined by an angle of view equivalent to the field of vision of a typical healthy person).

[0874] The communication I / F 44 is connected to a network 54. The communication I / Fs 44 and 26 are responsible for the exchange of various information between the processor 46 and the processor 28 via the network 54. The exchange of various information between the processor 46 and the processor 28 using the communication I / Fs 44 and 26 is carried out in a secure state.

[0875] Fig. 6 shows an example of the main functions of the data processing device 12 and the headset type terminal 314. As shown in Fig. 6, in the data processing device 12, a specific process is performed by the processor 28. A specific process program 56 is stored in the storage 32.

[0876] The specific processing program 56 is an example of a "program" according to the technology of the present disclosure. The processor 28 reads the specific processing program 56 from the storage 32 and executes the read specific processing program 56 on the RAM 30. The specific processing is realized by the processor 28 operating as a specific processing unit 290 in accordance with the specific processing program 56 executed on the RAM 30.

[0877] The storage 32 stores a data generation model 58 and an emotion identification model 59. The data generation model 58 and the emotion identification model 59 are used by the identification processing unit 290.

[0878] In the headset type terminal 314, a reception output process is performed by the processor 46. A reception output program 60 is stored in the storage 50. The processor 46 reads the reception output program 60 from the storage 50 and executes the read reception output program 60 on the RAM 48. The reception output process is realized by the processor 46 operating as the control unit 46A in accordance with the reception output program 60 executed on the RAM 48.

[0879] Next, a description will be given of the identification process performed by the identification processing unit 290 of the data processing device 12. In the following description, the data processing device 12 will be referred to as the "server" and the headset type terminal 314 will be referred to as the "terminal."

[0880] As an embodiment of the invention, the system provides an assistant service that allows users to use a personal concierge to consistently provide suggestions for how to spend their private time, reservations, and transportation options. The system comprises a means for users to input interest information, a means for generating suggestions based on the interest information, a means for making reservations and transportation arrangements based on the suggestions, and a means for notifying the user of details of the reservations and transportation options.

[0881] What the program does:

[0882] First, a user accesses the system using an application. The user first registers and logs in. The server stores the user's registration information in a database and authenticates the login information.

[0883] Enter your interests and preferences:

[0884] Users enter their interests and desired activities through the interface, such as "cooking class," "yoga class," or "museum tour." The server analyzes this information and compares it with past data.

[0885] Plan generation and proposal:

[0886] Next, the server uses an AI algorithm to generate the optimal plan based on the user's input data. For example, plans such as "Saturday morning: cooking class" and "Saturday afternoon: museum tour" are automatically generated. The generated plan is sent to the user's device, and the user can select the plan they like best from the ones presented.

[0887] Booking and transportation arrangements:

[0888] After selecting the desired plan, the user enters the necessary details into the reservation form. The server processes this information and sends a reservation request to the relevant facility or service provider, while also arranging transportation (such as a taxi or rental car).

[0889] Notification and confirmation:

[0890] The server generates reservation confirmation information and sends it to the user's device. This information includes the reservation number, facility details, and transportation details. The user can review this information and get a detailed understanding of the plan.

[0891] Examples:

[0892] For example, user A wants to "relax this weekend" and uses the system. User A is interested in "cooking classes" and "visiting art museums." When user A enters this information, the system generates a plan called "Saturday morning: cooking class" and "Saturday afternoon: visit art museums" and displays it on the screen. When user A selects this plan, the server makes reservations for the cooking class and the art museum, and arranges for a taxi. Reservation confirmation information is sent to user A's terminal, and user A can easily check the reservation details.

[0893] In this way, users can spend their private time in a way that suits their interests without any hassle. This system responds to the increasing number of single-person households and helps individual users to enjoy their private time efficiently.

[0894] The processing flow will be explained below.

[0895] Step 1:

[0896] User opens the sign-up page

[0897] Terminal: Display the registration page interface.

[0898] User: Enter the required information such as name, email address, and password, and click the "Register" button.

[0899] Step 2:

[0900] The server receives the user information

[0901] Server: Receives user information sent from the front end and checks it against the existing database to see if there are any duplicates.

[0902] Server: If there is no duplicate, save the new user information to the database.

[0903] Server: Send a verification email to the registered email address.

[0904] Step 3:

[0905] The user checks the verification email

[0906] User: Opens his / her email inbox and clicks the link in the verification email.

[0907] Step 4:

[0908] The server performs the authentication process

[0909] Server: Receives the authentication link and updates the corresponding user's account status to "active".

[0910] Step 5:

[0911] The user opens the login page

[0912] User: After email authentication, access the login page, enter your email address and password, and press the "Login" button.

[0913] Server: Checks credentials and authenticates user successfully.

[0914] Step 6:

[0915] Users enter their interests

[0916] Device: The user interface displays a form for entering interest information.

[0917] User: Enter their interests, such as "cooking classes," "yoga classes," or "visiting art museums," and press the "Submit" button.

[0918] Step 7:

[0919] The server receives and analyzes the input information

[0920] Server: Receives the entered interest information and stores it in a database.

[0921] Server: Analyzes the stored data and compares it with past user data.

[0922] Step 8:

[0923] The server generates a plan

[0924] Server: Based on the user's interests, an AI algorithm is used to generate the optimal plan, such as "Saturday morning: cooking class" or "Saturday afternoon: museum tour."

[0925] Server: Sends the generated plan information to the user's device.

[0926] Step 9:

[0927] The user confirms and selects a plan

[0928] Device: The proposed plan is displayed on the user's device.

[0929] User: Review the plans offered and select the one they like best.

[0930] Step 10:

[0931] The server performs the reservation procedure.

[0932] Server: Calls the API of the reservation channel (facility / service provider) to obtain detailed information about the plan selected by the user and proceed with the reservation procedure.

[0933] Server: Sends reservation requests to each facility or service provider, and the reservation is confirmed.

[0934] Step 11:

[0935] The server arranges transportation

[0936] Server: Uses the APIs of transportation providers to arrange taxis and rental cars for users.

[0937] Step 12:

[0938] The server generates the booking and transportation details

[0939] Server: Generates reservation confirmation information and transportation details, and creates a message to notify the user.

[0940] Step 13:

[0941] The server sends the details to the user

[0942] Server: Generates and sends a confirmation message to the user's device, which includes the reservation number, facility details, and transportation information.

[0943] Terminal: Display the received confirmation message and notify the user.

[0944] Step 14:

[0945] The user confirms the reservation

[0946] User: Check the confirmation message displayed on their device to confirm their reservation and transportation details.

[0947] In this way, users can receive support to spend their private time in a way that suits their interests without any hassle.

[0948] Example 1

[0949] Next, a description will be given of Example 1. In the following description, the data processing device 12 will be referred to as a "server" and the headset type terminal 314 will be referred to as a "terminal."

[0950] In today's world, individuals have limited means to efficiently plan their private time and spend it productively. Conventional methods require a lot of time and effort, making it difficult to arrange appropriate activities and transportation. In particular, the lack of a system that automatically generates plans tailored to users' interests forces users to manually gather information, resulting in a waste of resources.

[0951] The specific processing by the specific processing unit 290 of the data processing device 12 in the first embodiment is realized by the following means.

[0952] In this invention, the server includes means for a user to input interest information, means for registering and authenticating a user account, means for generating proposals based on the interest information, means for making reservations and arranging transportation based on the proposals, means for notifying the user of details of the reservations and transportation, means for using an algorithm to analyze the interest information, means for generating an optimal plan by analyzing the user's past data, and means for sending a reservation request using the APIs of external facilities and service providers. This allows users to easily generate optimal plans based on their own interests and make consistent reservations and transportation arrangements.

[0953] "User" refers to an individual who uses the system.

[0954] "Interest Information" refers to information related to activities and hobbies entered by a User.

[0955] "Suggestions" refer to private time plans generated based on the user's interests and past data.

[0956] "Reservation" means the reservation of a date and time for a proposed activity or facility use.

[0957] "Transportation" refers to the means of transportation used to travel to facilities and activities (e.g., taxis, rental cars, etc.).

[0958] "Details" means specific information about your Booking and Transportation.

[0959] "Means" refers to the technical methods or devices used by the system to achieve a specific function.

[0960] "Server" refers to a computer system that processes user requests and stores and manages data.

[0961] "Terminal" refers to the device used by the user (e.g., smartphone, tablet, PC, etc.).

[0962] "Algorithm" refers to the computational procedures used to analyze a user's data and generate an optimal plan.

[0963] "API" refers to an interface for using functions with external facilities and service providers.

[0964] "Database" refers to a system for storing and managing user information and past data.

[0965] This invention provides a system that suggests ways for users to spend their private time based on their interests and concerns, and consistently provides reservations and transportation options. The system inputs and processes information through user operations, and provides the user with the optimal plan. The specific implementation method of the system is shown below.

[0966] First, the user accesses the system using a dedicated application. The user enters the required information (user name, password, email address, etc.) on the new registration screen to create an account. Next, the user can start using the system by logging in with the created account.

[0967] Hardware and Software

[0968] Server: Uses a high-performance computer system (e.g., Linux server, Windows server) to manage a database (e.g., MySQL, PostgreSQL), and implements programs that run on the server using programming languages ​​such as Python and JavaScript.

[0969] Device: The application runs on the device used by the user (e.g., smartphone, tablet, PC). It is provided as an iOS or Android application.

[0970] Algorithms: We use AI algorithms (e.g., Sci-kit Learn, TensorFlow) to analyze user interests.

[0971] API: We use APIs of external facilities and service providers (e.g., OpenTable API, Uber API) to submit reservation requests and arrange transportation.

[0972] Data processing and calculation

[0973] Registration and authentication: The information entered by the user is sent to the server and stored in a database. Registration information is managed securely using encryption technology (e.g., SSL / TLS).

[0974] Input and analysis of interest information: Users input their interest information through the interface. The input information is sent to the server in JSON format and analyzed on the server side. At that time, the user's preferences are detected by comparing it with past data.

[0975] Plan Generation: The server uses an AI algorithm based on the user's interests to generate an optimal plan, including date, time, and activity details.

[0976] Reservation and transportation arrangement: Once the user selects a plan, the server uses API to send a reservation request to the facility or service provider, and also arranges transportation using API.

[0977] Notification: Reservation and transportation details are sent from the server to the user's device and displayed on the screen.

[0978] Specific examples

[0979] For example, User A wants to "refresh this weekend" and uses the system. User A starts the application and registers. Then, he logs in and enters that he is interested in "cooking classes" and "visiting art museums." The server analyzes this information and uses an AI algorithm to generate a plan such as "Saturday morning: cooking class" and "Saturday afternoon: visit art museums." When User A selects a plan, the server immediately reserves the facilities and arranges transportation, and sends confirmation information to User A's device.

[0980] Prompt Sentence Examples

[0981] An example of a prompt to enter into the system is the following:

[0982] "If a user has a request to 'refresh,' explain how the system generates a plan, arranges the reservation, and provides transportation."

[0983] This allows users to easily enrich their private time and enjoy efficient assistance services that address the growing number of single-person households.

[0984] The flow of the identification process in the first embodiment will be described with reference to FIG.

[0985] Processing Steps

[0986] Step 1: User Registration and Login

[0987] User: Launches the application and goes to the new registration screen. Enters the required information such as username, password, and email address, and clicks the "Register" button.

[0988] Input: Username, Password, Email Address.

[0989] Server: Receives the entered information and stores it in the database. If the save is successful, sends a confirmation email to the user.

[0990] Output: Confirmation email.

[0991] Users: Receive a confirmation email and click the link to activate their account, then enter their username and password on the login screen and click the "Login" button.

[0992] Input: Login information (username, password).

[0993] Server: Authenticates the login information, and if authentication is successful, returns information to display the dashboard screen.

[0994] Output: Authentication results, dashboard information.

[0995] Step 2: Enter your interests and preferences

[0996] User: Go to the "Enter Interests and Preferences" section of the dashboard, enter the activities you're interested in (e.g., cooking class, yoga class, museum visit) and click the "Submit" button.

[0997] Input: Interests.

[0998] Terminal: Sends the entered information to the server in JSON format.

[0999] Server: Analyzes the received JSON data and compares it with past data to detect the user's preferences.

[1000] Data processing: JSON analysis, comparison with past data.

[1001] Output: Analysis results.

[1002] Step 3: Plan generation and proposal

[1003] Server: Based on the received analysis results, the AI ​​algorithm is run to generate the optimal plan. The algorithm uses Sci-kit Learn and TensorFlow.

[1004] Input: Analysis results.

[1005] Data calculation: Plan generation using AI algorithms.

[1006] Output: The generated plan.

[1007] Server: Sends the generated plan in JSON format to the terminal.

[1008] Terminal: Displays the received plan information on the user interface.

[1009] User: Select the plan they like best from the ones presented.

[1010] Step 4: Make your booking and arrange transportation

[1011] User: Select the plan you want and click the "Enter details" button. Enter the required information (e.g., name, contact information, desired date and time) in the reservation form that appears next.

[1012] Input: Reservation information.

[1013] Terminal: Sends the entered information to the server in JSON format.

[1014] Server: Processes the received information. Calls the reservation system (e.g., OpenTable API, Resy API) to send a reservation request to the relevant facility or service provider. At the same time, calls the API of Uber or Lyft to arrange transportation and arranges a taxi.

[1015] Data calculation: processing reservation information, API calls.

[1016] Output: Reservation confirmation information, transportation arrangement information.

[1017] Step 5: Notification and confirmation

[1018] Server: Generates and sends reservation confirmation and transportation details to the user's device, including reservation number, facility details, and transportation details.

[1019] Input: Reservation information, transportation information.

[1020] Output: Final confirmation information.

[1021] Terminal: Reflects the received information in a display element (e.g., a dialog box) and notifies the user.

[1022] Users: Check notifications and find out more.

[1023] Through the above processing steps, users can generate the optimal plan based on their own interests and concerns, and then complete the reservation process and transportation arrangements in a seamless manner.

[1024] (Application example 1)

[1025] Next, a description will be given of Application Example 1. In the following description, the data processing device 12 will be referred to as a "server" and the headset type terminal 314 will be referred to as a "terminal."

[1026] On conventional online shopping sites, users had to search for products individually, check the details of each product, and then proceed with the purchase process, which was cumbersome and time-consuming.In addition, there was no system that suggested optimal products based on the user's interests, or provided consistent support for the purchase process and delivery arrangements, making it difficult for users to efficiently find products that matched their preferences and needs.

[1027] The specific processing by the specific processing unit 290 of the data processing device 12 in the application example 1 is realized by the following means.

[1028] In this invention, the server includes a means for a user to input interest information, a means for generating suggestions for the user's private time or products based on the interest information, a means for making reservations and transportation means or product purchase procedures and delivery arrangements based on the suggestions, and a means for notifying the user of details of the reservations and transportation means or product purchase procedures and delivery arrangements. This allows the user to receive suggestions for optimal products and services based on their interests and easily purchase and use them.

[1029] "User" means an individual or legal entity who uses the System to enter interest information and receive suggestions.

[1030] "Interest information" is information entered by a user regarding their hobbies and preferences, including, for example, specific product categories or types of services.

[1031] "Proposals" are plans and product lists that are optimized to meet the user's needs and are generated based on the user's interests and concerns.

[1032] "Reservation" refers to the process by which a user reserves in advance the use of a specific facility or service based on a proposed plan.

[1033] "Transportation" refers to arranging the transportation necessary for the user to use the proposed plan, and examples include taxis and rental cars.

[1034] "Purchase procedure" refers to the procedure by which a user purchases a suggested product online or offline.

[1035] "Delivery Arrangement" means arranging for delivery of purchased items to a specified location.

[1036] "Detailed information" refers to specific data relating to reservation and purchase procedures, transportation and delivery arrangements, including reservation numbers, facility details, transportation details, delivery information, etc.

[1037] The "System" refers to a collection of computer networks and software that performs a series of processes, including inputting user interest information, generating suggestions for the user's private time or products, making reservations or purchasing procedures and arrangements based on those suggestions, and notifying users of detailed information.

[1038] A "generative AI model" is an artificial intelligence algorithm used to analyze a user's interests and past data to generate optimal suggestions.

[1039] A "prompt" is a document containing information about a user's interests that is input to a generative AI model, and suggestions are generated based on this document.

[1040] The system of this invention allows users to input information about their interests and concerns, and based on that information, it makes optimal suggestions, and then consistently provides reservations, transportation arrangements, or product purchase procedures and delivery arrangements. Specific implementation methods for this system are described below.

[1041] This system is composed of multiple hardware and software components. Users access the system using a device such as a smartphone. The device is equipped with a user interface, through which users can input their own interests and concerns. The information entered by the user is sent to a server via the Internet.

[1042] The server is built using a web framework such as Flask and has the ability to receive and process user input data. The server is connected to a database that stores user past data and information on interests and concerns, and user information is managed here.

[1043] The server uses a generative AI model to generate optimal suggestions based on the user's input interest information and past data. This generative AI model is implemented using, for example, a Python machine learning library. The generated suggestions are sent from the server to the user's device and displayed on the user interface.

[1044] When a user selects a desired plan or product from the proposed options, the server uses that information to process reservations and arrange transportation, or to process product purchases and arrange delivery. This uses the APIs of external facilities, service providers, and product providers. Specifically, a reservation request or purchase request is sent to an external system, and once confirmation is received, the details are sent to the user's device.

[1045] For example, if User B enters "I'm interested in useful kitchen gadgets," the server uses the generative AI model to generate optimal product suggestions such as "Mixer Grinder," "Blender," and "Air Fryer," and sends them to the user's device. When User B selects "Blender" and proceeds with the purchase, the server uses the API of the relevant product provider to send a purchase request and arrange for delivery. Order confirmation information is sent from the server to User B's device, including the reservation number and delivery details.

[1046] Specific examples of prompt sentences are as follows:

[1047] example:

[1048] "User B is interested in useful kitchen gadgets."

[1049] In this way, users can easily purchase and use the most suitable products and services based on their interests without any hassle.

[1050] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[1051] Step 1:

[1052] A user accesses the system using a smartphone terminal. The user opens the application and the login screen appears. The user enters their username and password and sends an authentication request to the server. The server references the database and verifies the entered authentication information. If the authentication is successful, the user proceeds to the main screen.

[1053] Step 2:

[1054] The user enters their interests on the main screen. For example, they might enter, "I'm interested in useful kitchen gadgets." This information is sent to the server, which receives this input and feeds it into a generative AI model as a prompt. This model then generates optimal suggestions based on the input information.

[1055] Step 3:

[1056] The server uses the generative AI model to analyze the user's interests and generate appropriate product suggestions. For example, suggestions such as "Mixer Grinder," "Blender," and "Air Fryer" may be generated. These suggestions are sent from the server to the user's device and displayed on the screen.

[1057] Step 4:

[1058] The user selects the desired product from the displayed suggestions. For example, they select "Blender." The selected information is sent to the server. The server retrieves the information about the selected product and starts the purchase process.

[1059] Step 5:

[1060] The server uses the API of an external product provider to proceed with the user's purchase. A purchase request is sent to the product provider, and the purchase is confirmed. At the same time, delivery arrangements are made. Information on delivery arrangements is also made using the external API, and the necessary information is sent to the delivery company, etc.

[1061] Step 6:

[1062] The server generates detailed information about the purchase process and delivery arrangements and sends it to the user's device. This information includes the order number, product name, estimated delivery date, etc. The user receives this notification and can check the details.

[1063] Step 7:

[1064] The user receives the product delivery. The delivery person delivers the product to the specified address. The completion of delivery marks the end of the series of purchase and delivery arrangement processes.

[1065] Furthermore, an emotion engine that estimates the user's emotion may be further combined. That is, the identification processing unit 290 may estimate the user's emotion using the emotion identification model 59, and perform identification processing using the user's emotion.

[1066] This invention relates to an assistant service that provides users with a personalized concierge service that offers suggestions for how to spend their private time, reservations, and transportation options. The system aims to provide more personalized suggestions by combining a conventional suggestion system with an emotion engine that recognizes the user's emotions.

[1067] What the program does:

[1068] First, a user accesses the system using an application. The user first registers and logs in. The server stores the user's registration information in a database and authenticates the login information.

[1069] Enter your interests and preferences:

[1070] Users enter their interests and desired activities through the interface, such as "cooking class," "yoga class," or "museum tour." The server analyzes this information and compares it with past data.

[1071] Recognizing user emotions:

[1072] An emotion engine is used to recognize the user's current emotional state. The emotion engine can recognize the user's emotions using facial expression recognition or voice analysis techniques.

[1073] Plan generation and proposal:

[1074] Next, the server uses an AI algorithm to generate an optimal plan based on the user's input data and emotional state. For example, a plan such as "Saturday morning: cooking class" or "Saturday afternoon: museum tour" is automatically generated. The priority of suggestions is adjusted based on the emotional information recognized by the emotion engine. For example, if the user is feeling stressed, it can prioritize relaxing activities. The generated plan is sent to the user's device, and the user can select the plan they like best from the ones presented.

[1075] Booking and transportation arrangements:

[1076] After selecting the desired plan, the user enters the necessary details into the reservation form. The server processes this information and sends a reservation request to the relevant facility or service provider, while also arranging transportation (such as a taxi or rental car).

[1077] Notification and confirmation:

[1078] The server generates reservation confirmation information and sends it to the user's device. This information includes the reservation number, facility details, and transportation details. The user can review this information and get a detailed understanding of the plan.

[1079] Examples:

[1080] For example, User A wants to "relax this weekend" and uses the system. User A is interested in "cooking classes" and "visiting art museums." When the emotion engine recognizes the stress level of User A from his / her face, the system prioritizes "relaxing activities." A plan is generated that includes relaxation yoga in the Saturday morning and a visit to local art museums in the afternoon, and is displayed on the screen.

[1081] When User A selects this plan, the server makes reservations for relaxation yoga and the art museum, and arranges a taxi. Reservation confirmation information is sent to User A's terminal, allowing User A to easily check the reservation details.

[1082] In this way, users can spend their private time in a way that suits their interests and emotional state without any effort. This system responds to the increasing number of single-person households and helps individual users enjoy their private time efficiently.

[1083] The processing flow will be explained below.

[1084] Step 1:

[1085] User opens the sign-up page

[1086] Terminal: Display the registration page interface.

[1087] User: Enter the required information such as name, email address, and password, and click the "Register" button.

[1088] Step 2:

[1089] The server receives the user information

[1090] Server: Receives user information sent from the front end and checks it against the existing database to see if there are any duplicates.

[1091] Server: If there is no duplicate, save the new user information to the database.

[1092] Server: Send a verification email to the registered email address.

[1093] Step 3:

[1094] The user checks the verification email

[1095] User: Opens his / her email inbox and clicks the link in the verification email.

[1096] Step 4:

[1097] The server performs the authentication process

[1098] Server: Receives the authentication link and updates the corresponding user's account status to "active".

[1099] Step 5:

[1100] The user opens the login page

[1101] User: After email authentication, access the login page, enter your email address and password, and press the "Login" button.

[1102] Server: Checks credentials and authenticates user successfully.

[1103] Step 6:

[1104] Users enter their interests

[1105] Device: The user interface displays a form for entering interest information.

[1106] User: Enter their interests, such as "cooking classes," "yoga classes," or "visiting art museums," and press the "Submit" button.

[1107] Step 7:

[1108] The server receives and analyzes the input information

[1109] Server: Receives the entered interest information and stores it in a database.

[1110] Server: Analyzes the stored data and compares it with past user data.

[1111] Step 8:

[1112] Recognizing the user's emotional state

[1113] Device: Activate the emotion recognition camera and capture the user's facial expressions.

[1114] User: Show your face in front of the camera.

[1115] Emotion engine: Analyzes the user's emotional state using facial expression recognition or voice analysis technology.

[1116] Server: Receives the recognized emotion data and stores the analysis results in a database.

[1117] Step 9:

[1118] The server generates the proposal

[1119] Server: Based on the user's input data and emotional state, the AI ​​algorithm generates the optimal plan. For example, if the user is feeling stressed, it will prioritize relaxing activities.

[1120] Server: Sends the generated plan information to the user's device.

[1121] Step 10:

[1122] The user confirms and selects a plan

[1123] Device: The proposed plan is displayed on the user's device.

[1124] User: Review the plans offered and select the one they like best.

[1125] Step 11:

[1126] The server performs the reservation procedure.

[1127] Server: Calls the API of the reservation channel (facility / service provider) to obtain detailed information about the plan selected by the user and proceed with the reservation procedure.

[1128] Server: Sends reservation requests to each facility or service provider, and the reservation is confirmed.

[1129] Step 12:

[1130] The server arranges transportation

[1131] Server: Uses the APIs of transportation providers to arrange taxis and rental cars for users.

[1132] Step 13:

[1133] The server generates the booking and transportation details

[1134] Server: Generates reservation confirmation information and transportation details, and creates a message to notify the user.

[1135] Step 14:

[1136] The server sends the details to the user

[1137] Server: Generates and sends a confirmation message to the user's device, which includes the reservation number, facility details, and transportation information.

[1138] Terminal: Display the received confirmation message and notify the user.

[1139] Step 15:

[1140] The user confirms the reservation

[1141] User: Check the confirmation message displayed on their device to confirm their reservation and transportation details.

[1142] In this way, users can receive support to spend their private time in a way that suits their interests and emotional state without any hassle.

[1143] Example 2

[1144] Next, a description will be given of Example 2. In the following description, the data processing device 12 will be referred to as a "server" and the headset type terminal 314 will be referred to as a "terminal."

[1145] Conventional recommendation systems based on user interests and concerns make uniform suggestions without considering the user's emotional state, which means they have the problem of not being able to adequately respond to the individual needs of users. In particular, there is a lack of private time suggestions that take into account the user's stress and emotional fluctuations, which means that they are unable to provide services that truly satisfy users.

[1146] The specific processing by the specific processing unit 290 of the data processing device 12 in the second embodiment is realized by the following means.

[1147] In this invention, the server includes a means for a user to input interest information, a means for recognizing the user's emotional state, a means for generating suggestions based on the interest information and the recognized emotional state, a means for arranging reservations and transportation, and a means for notifying the user of details of reservations and transportation, thereby enabling personalized private time suggestions and a consistent reservation process that take into account the user's emotional state.

[1148] A "user" is an individual who utilizes the system to receive offers and reservations for private time.

[1149] "Interest Information" is information about activities that a user is interested in or desires to do that user inputs into the system.

[1150] "Emotional state" is information that indicates the user's current emotions and psychological state.

[1151] An "emotion engine" is a system component that includes techniques and algorithms for recognizing a user's emotional state.

[1152] "Suggestions" are recommendations for activities and activities for private time that the system generates based on the user's interests and emotional state.

[1153] "Reservation" is the process of applying in advance for a particular facility or service based on a proposal selected by the user.

[1154] "Transportation" refers to the means of transportation that a user uses to travel to a proposed activity or facility.

[1155] "Notification" is an information transmission method by which the server notifies the user of detailed information about reservations and transportation means.

[1156] "Facility" refers to the location where the user will perform the proposed activity.

[1157] "Service provider" refers to a company or organization that provides services such as activities and transportation to users.

[1158] MODE FOR CARRYING OUT THE INVENTION

[1159] This invention relates to an assistant service that provides users with a personalized concierge service that offers suggestions for how to spend their private time, reservations, and transportation options. The system aims to provide more personalized suggestions by combining a conventional suggestion system with an emotion engine that recognizes the user's emotions.

[1160] User Registration and Login Authentication

[1161] A user starts the application on a device such as a smartphone or tablet and enters their name, email address, and password on the registration screen. The server stores the entered information in a database such as MySQL. The user then logs in with their registered email address and password, and once authenticated, is redirected to the home screen.

[1162] Input of user interests and wishes

[1163] Through an interface within the application, users input their interests and desired activities, such as "cooking class," "yoga class," or "museum tour." The server collects this information, stores it in a database, and then analyzes the data using Python's Pandas library.

[1164] Recognizing user emotions

[1165] When a user activates the emotion recognition feature within the app, the device's camera and microphone are used to capture facial expressions and record audio. The server then analyzes the facial expressions using OpenCV and Dlib, and the voice characteristics using the Google Cloud Speech-to-Text API, thereby recognizing the user's current emotional state.

[1166] Plan generation and proposal

[1167] The server uses an AI algorithm to generate an optimal plan based on the user's input data and the user's recognized emotional state. In this case, TensorFlow or PyTorch is used. For example, if the user is feeling stressed, it will prioritize relaxing activities. The generated plan is displayed on the screen and may be presented as follows:

[1168] "Saturday Morning: Relaxation Yoga"

[1169] "Saturday Afternoon: Museum Tour"

[1170] Booking and transportation arrangements

[1171] The user selects the desired plan and enters the necessary details into the booking form. The server processes this information and sends a booking request to the relevant facility or service provider, while simultaneously arranging for a taxi or car rental using integration technologies such as Twilio.

[1172] Notification and confirmation

[1173] The server generates a reservation confirmation and sends it to the user's device via Firebase Cloud Messaging (FCM), which includes the reservation number, facility details, and transportation details. The user can then review the information displayed on their device and get a detailed understanding of the plan.

[1174] Specific examples

[1175] For example, user A wants to relax on the weekend and uses the system. User A is interested in "cooking classes" and "visiting art museums." When the emotion engine recognizes user A's stress level, the system prioritizes and suggests "relaxing activities." The generated plan is "Saturday morning: relaxation yoga, Saturday afternoon: visiting art museums." When user A selects this plan, the server makes reservations for relaxation yoga and the art museums and arranges for a taxi. Reservation confirmation information is sent to user A's terminal, where user A can check it.

[1176] Example prompts to input to the generative AI model

[1177] You might use a prompt like this:

[1178] "I'd like some suggestions for relaxing activities this weekend."

[1179] "I'm interested in cooking classes and visiting art museums."

[1180] "I'm feeling stressed, so I want to prioritize relaxing plans."

[1181] By using this system, users can spend their private time meaningfully in a way that suits their interests and emotional state without any hassle.

[1182] The flow of the identification process in the second embodiment will be described with reference to FIG.

[1183] A detailed explanation of the program's processing flow

[1184] Step 1: User Registration and Login Authentication

[1185] input:

[1186] The name, email address, and password that the user enters into the application.

[1187] process:

[1188] A user launches an application: A user launches an application on a device such as a smartphone or tablet.

[1189] User enters registration information: User enters name, email address, password and presses "Register" button.

[1190] The server stores the registration information: The server stores the information entered in a database such as MySQL and confirms that the registration is complete.

[1191] User logs in: The user accesses the login screen with their registered email address and password and logs in.

[1192] The server performs authentication: The server checks the information against its database to verify that the combination is correct.

[1193] output:

[1194] The user successfully logs in and is redirected to the home screen.

[1195] Step 2: Enter your interests and preferences

[1196] input:

[1197] Users enter their interests and desired activities, such as "cooking class," "yoga class," or "museum tour."

[1198] process:

[1199] User enters their interest and desired activities: Users enter their interests and desired activities into the application's interface.

[1200] The server receives the inputs: The server receives these inputs and stores them in a database.

[1201] The server analyzes the input information: The server uses Python's Pandas library to analyze the input data and compare it with the user's interests and past data.

[1202] output:

[1203] Based on the analysis results, user interest data is stored in a database.

[1204] Step 3: Recognizing user emotions

[1205] input:

[1206] Facial expression data captured by the device's camera and audio data recorded by the microphone.

[1207] process:

[1208] User initiates emotion engine: The user initiates emotion recognition within the application.

[1209] The device collects emotion data using the camera and microphone: The device's camera captures the user's face and the microphone records their voice.

[1210] Server analyzes emotion data: The server analyzes facial expressions using OpenCV and Dlib, and voice characteristics using Google Cloud Speech-to-Text API.

[1211] output:

[1212] The user's current emotional state is recognized and stored in a database.

[1213] Step 4: Generate and propose a plan

[1214] input:

[1215] User interest data, emotional state data.

[1216] process:

[1217] The server generates a plan using an AI algorithm: The server uses TensorFlow or PyTorch to generate an optimal plan based on the user's interest data and emotional state.

[1218] The server sends the generated plan to the user's terminal: The generated plan is sent to the user's terminal and displayed on the screen.

[1219] output:

[1220] Plans presented to users, such as "Saturday morning: Relaxation yoga" or "Saturday afternoon: Museum visit."

[1221] Step 5: Make your booking and arrange transportation

[1222] input:

[1223] The plan you select and the name and contact information you enter in the booking form.

[1224] process:

[1225] User selects desired plan: User selects the plan they like and fills in the details.

[1226] The server processes the reservation information: The server processes the information entered and sends the reservation request to the relevant facility or service provider.

[1227] Server arranges transportation: The server uses integration technology such as Twilio to arrange taxis or rental cars.

[1228] output:

[1229] A booking confirmation and transportation details are generated.

[1230] Step 6: Notification and confirmation

[1231] input:

[1232] Booking confirmation and transportation details.

[1233] process:

[1234] Server generates booking confirmation: The server generates the information including the booking number, facility details, and transportation details.

[1235] The server sends information to the user device: Information is sent to the user device via Firebase Cloud Messaging (FCM).

[1236] User confirms reservation confirmation information: The user confirms the information displayed on the device and understands the details of the plan.

[1237] output:

[1238] Booking confirmation information and transportation details provided to the user.

[1239] (Application example 2)

[1240] Next, a description will be given of Application Example 2. In the following description, the data processing device 12 will be referred to as a "server" and the headset type terminal 314 will be referred to as a "terminal."

[1241] Conventional private time suggestion systems make suggestions based on the user's interests and preferences, but because they cannot consider the user's emotional state, the suggestions do not necessarily meet the user's needs. Furthermore, they often require the user to perform complex operations, resulting in a lack of convenience. Furthermore, transportation suggestions are rarely automatically provided, and users often have to make their own arrangements. It is necessary to solve these problems and provide more personalized private time suggestions based on the user's emotional state and consistent transportation arrangements.

[1242] The specific processing by the specific processing unit 290 of the data processing device 12 in the application example 2 is realized by the following means.

[1243] In this invention, the server includes a means for a user to input interest information, a means for recognizing the user's emotional state, a means for generating suggestions for the user's private time based on the interest information and emotional state, a means for making reservations and arranging transportation based on the suggestions, a means for notifying the user of details of the reservations and transportation, and a system installed in an autonomous vehicle. This allows for personalized suggestions that take the user's emotional state into consideration, enabling the user to spend their private time in a fulfilling manner without hassle.

[1244] "User" refers to an individual or organization that uses the System.

[1245] "Interest Information" refers to information about hobbies and desired activities that a User enters through the System.

[1246] "Emotional state" refers to the user's current psychological and emotional state, as recognized through facial and voice analysis.

[1247] "Private time" refers to personal time that a user can use freely, such as time spent on leisure or hobbies.

[1248] "Suggestion" refers to a plan of activities or services generated by the system based on the user's interests and emotional state.

[1249] "Reservation" means the act of reserving a proposed activity or service in advance.

[1250] "Transportation" refers to the transportation means used by the user to travel to the location of the proposed activity.

[1251] "Notification" refers to the act of communicating information sent by the system to the user.

[1252] "Server" refers to a computer device that processes and manages data for the entire system.

[1253] An "autonomous vehicle" refers to a vehicle that can be driven automatically and is used as a means of transportation for users.

[1254] "Means" refers to a method or device for achieving a particular purpose.

[1255] To realize this invention, the terminal used by the user and the system installed in the autonomous driving vehicle must each function in their respective roles.

[1256] First, the user accesses the system through a terminal (smartphone, tablet, or in-vehicle display). The user first registers and logs in. The server stores the user's registration information in a database and authenticates the login information, ensuring security.

[1257] Users enter their interests and desired activities through the interface, such as "cooking class," "yoga class," or "museum tour." The server analyzes this information and compares it with past data.

[1258] Next, an emotion engine is used to recognize the user's emotional state. The emotion engine uses facial recognition and voice analysis technology to recognize the user's emotions. Specifically, software such as Microsoft Azure Emotion API and IBM Watson Tone Analyzer is used.

[1259] The server uses AI algorithms to generate optimal plans based on the user's input data and emotional state. For example, machine learning models such as TensorFlow and PyTorch are used. The generated suggestions include specific schedules such as "Saturday morning: cooking class" and "Saturday afternoon: museum visit."

[1260] After the user selects the desired plan, the server prompts them to enter the necessary details into a reservation form, then sends a reservation request to the relevant facility or service provider using an API, and simultaneously arranges transportation, including setting up a route for the autonomous vehicle.

[1261] Finally, the server generates reservation confirmation information and sends it to the user's device. This information includes the reservation number, facility details, and transportation details. The user can then review this information to understand the details of the plan.

[1262] To give a specific example, User A gets into an autonomous vehicle and uses the system because he or she wants to "relax." User A is interested in "cooking classes" and "visiting art museums." When the emotion engine recognizes the stress level of User A from his or her face, the system prioritizes and suggests "relaxing activities." For example, a plan may be generated that includes relaxation yoga in the morning on Saturday and a tour of local art museums in the afternoon. When User A selects this plan, the server makes reservations for the relaxation yoga and the museums and sets the route for the autonomous vehicle. The reservation confirmation information is sent to User A's device, allowing User A to spend fulfilling private time without any hassle.

[1263] And an example of a prompt is:

[1264] input:

[1265] "Tell me your current emotional state."

[1266] "Enter the places you want to go or the things you want to do (e.g. yoga, cinema, shopping)."

[1267] Generate:

[1268] "We've detected your stress level. We'll recommend a plan to help you relax."

[1269] "Choose from the following plans: Relaxation drive and spa, walk in the nature park and cafe time."

[1270] "Your selected plan has been booked. We'll begin setting up your transportation."

[1271] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[1272] Step 1:

[1273] The user accesses the system through a device (smartphone, tablet, or display inside the autonomous vehicle) to register or log in. Input includes the user ID and password, and the output is provided with access rights after authentication. The server then stores the user's registration information in a database and authenticates the login information. Specifically, the system collates the user information with a database server (e.g., AWS RDS) and returns the authentication result.

[1274] Step 2:

[1275] Users input their interests and desired activities through the device interface. Examples of inputs include "cooking class," "yoga class," and "museum tour." This data is sent to the server and stored in a database. The server analyzes this information and compares it with past data. Specifically, the system analyzes the user's interest information using Natural Language Processing (NLP) algorithms (e.g., spaCy or NLTK) and retrieves related past data from the database.

[1276] Step 3:

[1277] To recognize the user's emotional state, an emotion engine uses the in-car camera and microphone. Inputs include facial expression data and tone of voice, and the output identifies the user's emotional state. Specifically, the image data captured by the camera is sent to the Microsoft Azure Emotion API, and the voice data is sent to the IBM Watson Tone Analyzer, and the results are received by the server.

[1278] Step 4:

[1279] The server uses an AI algorithm to generate an optimal plan based on the user's input data and emotional state. The input includes the user's interests and emotional state, and the output is a proposed plan. Specifically, the machine learning algorithm of the generative AI model (e.g., TensorFlow or PyTorch) processes the data and provides the user with suggestions such as "relaxation drives" and "spa experiences."

[1280] Step 5:

[1281] The user selects the desired plan from the proposed plans. The selected plan is sent to the server and a reservation form is displayed. The input includes details of the plan selected by the user, and the output generates a reservation request. Specific operations include sending the details of the selected plan to an existing API (e.g., the API of an external facility or service provider) and checking the reservation status.

[1282] Step 6:

[1283] The server arranges transportation based on the selected plan. The input includes details of the plan selected by the user, and the output is the completed transportation arrangement. Specifically, the navigation system sets the route for the autonomous vehicle and sends requests to external transportation service APIs as needed.

[1284] Step 7:

[1285] Finally, the server generates reservation confirmation information and notifies the user's device. The input includes information that the reservation and transportation arrangements have been completed, and the output generates a notification to be sent to the user's device. Specifically, the server creates a notification message containing the confirmation number, facility details, and transportation details, and sends it to the user's device.

[1286] The specific processing unit 290 transmits the result of the specific processing to the headset type terminal 314. In the headset type terminal 314, the control unit 46A causes the speaker 240 and the display 343 to output the result of the specific processing. The microphone 238 acquires audio indicating a user input regarding the result of the specific processing. The control unit 46A transmits audio data indicating the user input acquired by the microphone 238 to the data processing device 12. In the data processing device 12, the specific processing unit 290 acquires the audio data.

[1287] The data generation model 58 is a so-called generative AI (Artificial Intelligence). An example of the data generation model 58 is ChatGPT (Internet Search<URL: https: / / openai.com / blog / chatgpt> ), Gemini (Internet search <url: https: gemini.google.com ?hl="ja">) and other generation AIs. The data generation model 58 is obtained by performing deep learning on a neural network. A prompt including an instruction is input to the data generation model 58, and inference data such as voice data indicating voice, text data indicating text, and image data indicating an image is also input. The data generation model 58 performs inference on the input inference data in accordance with the instruction indicated by the prompt, and outputs the inference result in a data format such as voice data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization.

[1288] In the above embodiment, an example was given in which the specific processing is performed by the data processing device 12, but the technology of the present disclosure is not limited to this, and the specific processing may be performed by the headset type terminal 314.

[1289] [Fourth embodiment]

[1290] FIG. 7 shows an example of the configuration of a data processing system 410 according to the fourth embodiment.

[1291] 7, a data processing system 410 includes a data processing device 12 and a robot 414. An example of the data processing device 12 is a server.

[1292] The data processing device 12 includes a computer 22, a database 24, and a communication I / F 26. The computer 22 is an example of a "computer" according to the technology of the present disclosure. The computer 22 includes a processor 28, a RAM 30, and a storage 32. The processor 28, the RAM 30, and the storage 32 are connected to a bus 34. The database 24 and the communication I / F 26 are also connected to the bus 34. The communication I / F 26 is connected to a network 54. Examples of the network 54 include a WAN (Wide Area Network) and / or a LAN (Local Area Network).

[1293] The robot 414 includes a computer 36, a microphone 238, a speaker 240, a camera 42, a communication I / F 44, and a control target 443. The computer 36 includes a processor 46, a RAM 48, and a storage 50. The processor 46, the RAM 48, and the storage 50 are connected to a bus 52. The microphone 238, the speaker 240, the camera 42, and the control target 443 are also connected to the bus 52.

[1294] The microphone 238 receives instructions and the like from the user 20 by receiving voice uttered by the user 20. The microphone 238 captures the voice uttered by the user 20, converts the captured voice into audio data, and outputs it to the processor 46. The speaker 240 outputs audio in accordance with instructions from the processor 46.

[1295] Camera 42 is a small digital camera equipped with an optical system including a lens, aperture, and shutter, and an imaging element such as a CMOS (Complementary Metal-Oxide-Semiconductor) image sensor or a CCD (Charge Coupled Device) image sensor, and captures images of the surroundings of user 20 (for example, an imaging range defined by an angle of view equivalent to the field of vision of a typical healthy person).

[1296] The communication I / F 44 is connected to a network 54. The communication I / Fs 44 and 26 are responsible for the exchange of various information between the processor 46 and the processor 28 via the network 54. The exchange of various information between the processor 46 and the processor 28 using the communication I / Fs 44 and 26 is carried out in a secure state.

[1297] The control object 443 includes a display device, LEDs in the eyes, and motors for driving the arms, hands, and feet. The posture and gestures of the robot 414 are controlled by controlling the motors of the arms, hands, and feet. Some of the emotions of the robot 414 can be expressed by controlling these motors. In addition, the facial expressions of the robot 414 can also be expressed by controlling the light emission state of the LEDs in the eyes of the robot 414.

[1298] Fig. 8 shows an example of the main functions of the data processing device 12 and the robot 414. As shown in Fig. 8, in the data processing device 12, a specific process is performed by the processor 28. A specific process program 56 is stored in the storage 32.

[1299] The specific processing program 56 is an example of a "program" according to the technology of the present disclosure. The processor 28 reads the specific processing program 56 from the storage 32 and executes the read specific processing program 56 on the RAM 30. The specific processing is realized by the processor 28 operating as a specific processing unit 290 in accordance with the specific processing program 56 executed on the RAM 30.

[1300] The storage 32 stores a data generation model 58 and an emotion identification model 59. The data generation model 58 and the emotion identification model 59 are used by the identification processing unit 290.

[1301] In the robot 414, the processor 46 performs the reception output process. A reception output program 60 is stored in the storage 50. The processor 46 reads the reception output program 60 from the storage 50 and executes the read reception output program 60 on the RAM 48. The reception output process is realized by the processor 46 operating as the control unit 46A in accordance with the reception output program 60 executed on the RAM 48.

[1302] Next, a description will be given of the specific processing performed by the specific processing unit 290 of the data processing device 12. In the following description, the data processing device 12 will be referred to as a "server" and the robot 414 will be referred to as a "terminal."

[1303] As an embodiment of the invention, the system provides an assistant service that allows users to use a personal concierge to consistently provide suggestions for how to spend their private time, reservations, and transportation options. The system comprises a means for users to input interest information, a means for generating suggestions based on the interest information, a means for making reservations and transportation arrangements based on the suggestions, and a means for notifying the user of details of the reservations and transportation options.

[1304] What the program does:

[1305] First, a user accesses the system using an application. The user first registers and logs in. The server stores the user's registration information in a database and authenticates the login information.

[1306] Enter your interests and preferences:

[1307] Users enter their interests and desired activities through the interface, such as "cooking class," "yoga class," or "museum tour." The server analyzes this information and compares it with past data.

[1308] Plan generation and proposal:

[1309] Next, the server uses an AI algorithm to generate the optimal plan based on the user's input data. For example, plans such as "Saturday morning: cooking class" and "Saturday afternoon: museum tour" are automatically generated. The generated plan is sent to the user's device, and the user can select the plan they like best from the ones presented.

[1310] Booking and transportation arrangements:

[1311] After selecting the desired plan, the user enters the necessary details into the reservation form. The server processes this information and sends a reservation request to the relevant facility or service provider, while also arranging transportation (such as a taxi or rental car).

[1312] Notification and confirmation:

[1313] The server generates reservation confirmation information and sends it to the user's device. This information includes the reservation number, facility details, and transportation details. The user can review this information and get a detailed understanding of the plan.

[1314] Examples:

[1315] For example, user A wants to "relax this weekend" and uses the system. User A is interested in "cooking classes" and "visiting art museums." When user A enters this information, the system generates a plan called "Saturday morning: cooking class" and "Saturday afternoon: visit art museums" and displays it on the screen. When user A selects this plan, the server makes reservations for the cooking class and the art museum, and arranges for a taxi. Reservation confirmation information is sent to user A's terminal, and user A can easily check the reservation details.

[1316] In this way, users can spend their private time in a way that suits their interests without any hassle. This system responds to the increasing number of single-person households and helps individual users to enjoy their private time efficiently.

[1317] The processing flow will be explained below.

[1318] Step 1:

[1319] User opens the sign-up page

[1320] Terminal: Display the registration page interface.

[1321] User: Enter the required information such as name, email address, and password, and click the "Register" button.

[1322] Step 2:

[1323] The server receives the user information

[1324] Server: Receives user information sent from the front end and checks it against the existing database to see if there are any duplicates.

[1325] Server: If there is no duplicate, save the new user information to the database.

[1326] Server: Send a verification email to the registered email address.

[1327] Step 3:

[1328] The user checks the verification email

[1329] User: Opens his / her email inbox and clicks the link in the verification email.

[1330] Step 4:

[1331] The server performs the authentication process

[1332] Server: Receives the authentication link and updates the corresponding user's account status to "active".

[1333] Step 5:

[1334] The user opens the login page

[1335] User: After email authentication, access the login page, enter your email address and password, and press the "Login" button.

[1336] Server: Checks credentials and authenticates user successfully.

[1337] Step 6:

[1338] Users enter their interests

[1339] Device: The user interface displays a form for entering interest information.

[1340] User: Enter their interests, such as "cooking classes," "yoga classes," or "visiting art museums," and press the "Submit" button.

[1341] Step 7:

[1342] The server receives and analyzes the input information

[1343] Server: Receives the entered interest information and stores it in a database.

[1344] Server: Analyzes the stored data and compares it with past user data.

[1345] Step 8:

[1346] The server generates a plan

[1347] Server: Based on the user's interests, an AI algorithm is used to generate the optimal plan, such as "Saturday morning: cooking class" or "Saturday afternoon: museum tour."

[1348] Server: Sends the generated plan information to the user's device.

[1349] Step 9:

[1350] The user confirms and selects a plan

[1351] Device: The proposed plan is displayed on the user's device.

[1352] User: Review the plans offered and select the one they like best.

[1353] Step 10:

[1354] The server performs the reservation procedure.

[1355] Server: Calls the API of the reservation channel (facility / service provider) to obtain detailed information about the plan selected by the user and proceed with the reservation procedure.

[1356] Server: Sends reservation requests to each facility or service provider, and the reservation is confirmed.

[1357] Step 11:

[1358] The server arranges transportation

[1359] Server: Uses the APIs of transportation providers to arrange taxis and rental cars for users.

[1360] Step 12:

[1361] The server generates the booking and transportation details

[1362] Server: Generates reservation confirmation information and transportation details, and creates a message to notify the user.

[1363] Step 13:

[1364] The server sends the details to the user

[1365] Server: Generates and sends a confirmation message to the user's device, which includes the reservation number, facility details, and transportation information.

[1366] Terminal: Display the received confirmation message and notify the user.

[1367] Step 14:

[1368] The user confirms the reservation

[1369] User: Check the confirmation message displayed on their device to confirm their reservation and transportation details.

[1370] In this way, users can receive support to spend their private time in a way that suits their interests without any hassle.

[1371] Example 1

[1372] Next, a description will be given of Example 1. In the following description, the data processing device 12 will be referred to as a "server" and the robot 414 will be referred to as a "terminal."

[1373] In today's world, individuals have limited means to efficiently plan their private time and spend it productively. Conventional methods require a lot of time and effort, making it difficult to arrange appropriate activities and transportation. In particular, the lack of a system that automatically generates plans tailored to users' interests forces users to manually gather information, resulting in a waste of resources.

[1374] The specific processing by the specific processing unit 290 of the data processing device 12 in the first embodiment is realized by the following means.

[1375] In this invention, the server includes means for a user to input interest information, means for registering and authenticating a user account, means for generating proposals based on the interest information, means for making reservations and arranging transportation based on the proposals, means for notifying the user of details of the reservations and transportation, means for using an algorithm to analyze the interest information, means for generating an optimal plan by analyzing the user's past data, and means for sending a reservation request using the APIs of external facilities and service providers. This allows users to easily generate optimal plans based on their own interests and make consistent reservations and transportation arrangements.

[1376] "User" refers to an individual who uses the system.

[1377] "Interest Information" refers to information related to activities and hobbies entered by a User.

[1378] "Suggestions" refer to private time plans generated based on the user's interests and past data.

[1379] "Reservation" means the reservation of a date and time for a proposed activity or facility use.

[1380] "Transportation" refers to the means of transportation used to travel to facilities and activities (e.g., taxis, rental cars, etc.).

[1381] "Details" means specific information about your Booking and Transportation.

[1382] "Means" refers to the technical methods or devices used by the system to achieve a specific function.

[1383] "Server" refers to a computer system that processes user requests and stores and manages data.

[1384] "Terminal" refers to the device used by the user (e.g., smartphone, tablet, PC, etc.).

[1385] "Algorithm" refers to the computational procedures used to analyze a user's data and generate an optimal plan.

[1386] "API" refers to an interface for using functions with external facilities and service providers.

[1387] "Database" refers to a system for storing and managing user information and past data.

[1388] This invention provides a system that suggests ways for users to spend their private time based on their interests and concerns, and consistently provides reservations and transportation options. The system inputs and processes information through user operations, and provides the user with the optimal plan. The specific implementation method of the system is shown below.

[1389] First, the user accesses the system using a dedicated application. The user enters the required information (user name, password, email address, etc.) on the new registration screen to create an account. Next, the user can start using the system by logging in with the created account.

[1390] Hardware and Software

[1391] Server: Uses a high-performance computer system (e.g., Linux server, Windows server) to manage a database (e.g., MySQL, PostgreSQL), and implements programs that run on the server using programming languages ​​such as Python and JavaScript.

[1392] Device: The application runs on the device used by the user (e.g., smartphone, tablet, PC). It is provided as an iOS or Android application.

[1393] Algorithms: We use AI algorithms (e.g., Sci-kit Learn, TensorFlow) to analyze user interests.

[1394] API: We use APIs of external facilities and service providers (e.g., OpenTable API, Uber API) to submit reservation requests and arrange transportation.

[1395] Data processing and calculation

[1396] Registration and authentication: The information entered by the user is sent to the server and stored in a database. Registration information is managed securely using encryption technology (e.g., SSL / TLS).

[1397] Input and analysis of interest information: Users input their interest information through the interface. The input information is sent to the server in JSON format and analyzed on the server side. At that time, the user's preferences are detected by comparing it with past data.

[1398] Plan Generation: The server uses an AI algorithm based on the user's interests to generate an optimal plan, including date, time, and activity details.

[1399] Reservation and transportation arrangement: Once the user selects a plan, the server uses API to send a reservation request to the facility or service provider, and also arranges transportation using API.

[1400] Notification: Reservation and transportation details are sent from the server to the user's device and displayed on the screen.

[1401] Specific examples

[1402] For example, User A wants to "refresh this weekend" and uses the system. User A starts the application and registers. Then, he logs in and enters that he is interested in "cooking classes" and "visiting art museums." The server analyzes this information and uses an AI algorithm to generate a plan such as "Saturday morning: cooking class" and "Saturday afternoon: visit art museums." When User A selects a plan, the server immediately reserves the facilities and arranges transportation, and sends confirmation information to User A's device.

[1403] Prompt Sentence Examples

[1404] An example of a prompt to enter into the system is the following:

[1405] "If a user has a request to 'refresh,' explain how the system generates a plan, arranges the reservation, and provides transportation."

[1406] This allows users to easily enrich their private time and enjoy efficient assistance services that address the growing number of single-person households.

[1407] The flow of the identification process in the first embodiment will be described with reference to FIG.

[1408] Processing Steps

[1409] Step 1: User Registration and Login

[1410] User: Launches the application and goes to the new registration screen. Enters the required information such as username, password, and email address, and clicks the "Register" button.

[1411] Input: Username, Password, Email Address.

[1412] Server: Receives the entered information and stores it in the database. If the save is successful, sends a confirmation email to the user.

[1413] Output: Confirmation email.

[1414] Users: Receive a confirmation email and click the link to activate their account, then enter their username and password on the login screen and click the "Login" button.

[1415] Input: Login information (username, password).

[1416] Server: Authenticates the login information, and if authentication is successful, returns information to display the dashboard screen.

[1417] Output: Authentication results, dashboard information.

[1418] Step 2: Enter your interests and preferences

[1419] User: Go to the "Enter Interests and Preferences" section of the dashboard, enter the activities you're interested in (e.g., cooking class, yoga class, museum visit) and click the "Submit" button.

[1420] Input: Interests.

[1421] Terminal: Sends the entered information to the server in JSON format.

[1422] Server: Analyzes the received JSON data and compares it with past data to detect the user's preferences.

[1423] Data processing: JSON analysis, comparison with past data.

[1424] Output: Analysis results.

[1425] Step 3: Plan generation and proposal

[1426] Server: Based on the received analysis results, the AI ​​algorithm is run to generate the optimal plan. The algorithm uses Sci-kit Learn and TensorFlow.

[1427] Input: Analysis results.

[1428] Data calculation: Plan generation using AI algorithms.

[1429] Output: The generated plan.

[1430] Server: Sends the generated plan in JSON format to the terminal.

[1431] Terminal: Displays the received plan information on the user interface.

[1432] User: Select the plan they like best from the ones presented.

[1433] Step 4: Make your booking and arrange transportation

[1434] User: Select the plan you want and click the "Enter details" button. Enter the required information (e.g., name, contact information, desired date and time) in the reservation form that appears next.

[1435] Input: Reservation information.

[1436] Terminal: Sends the entered information to the server in JSON format.

[1437] Server: Processes the received information. Calls the reservation system (e.g., OpenTable API, Resy API) to send a reservation request to the relevant facility or service provider. At the same time, calls the API of Uber or Lyft to arrange transportation and arranges a taxi.

[1438] Data calculation: processing reservation information, API calls.

[1439] Output: Reservation confirmation information, transportation arrangement information.

[1440] Step 5: Notification and confirmation

[1441] Server: Generates and sends reservation confirmation and transportation details to the user's device, including reservation number, facility details, and transportation details.

[1442] Input: Reservation information, transportation information.

[1443] Output: Final confirmation information.

[1444] Terminal: Reflects the received information in a display element (e.g., a dialog box) and notifies the user.

[1445] Users: Check notifications and find out more.

[1446] Through the above processing steps, users can generate the optimal plan based on their own interests and concerns, and then complete the reservation process and transportation arrangements in a seamless manner.

[1447] (Application example 1)

[1448] Next, a description will be given of Application Example 1. In the following description, the data processing device 12 will be referred to as a "server" and the robot 414 will be referred to as a "terminal."

[1449] On conventional online shopping sites, users had to search for products individually, check the details of each product, and then proceed with the purchase process, which was cumbersome and time-consuming.In addition, there was no system that suggested optimal products based on the user's interests, or provided consistent support for the purchase process and delivery arrangements, making it difficult for users to efficiently find products that matched their preferences and needs.

[1450] The specific processing by the specific processing unit 290 of the data processing device 12 in the application example 1 is realized by the following means.

[1451] In this invention, the server includes a means for a user to input interest information, a means for generating suggestions for the user's private time or products based on the interest information, a means for making reservations and transportation means or product purchase procedures and delivery arrangements based on the suggestions, and a means for notifying the user of details of the reservations and transportation means or product purchase procedures and delivery arrangements. This allows the user to receive suggestions for optimal products and services based on their interests and easily purchase and use them.

[1452] "User" means an individual or legal entity who uses the System to enter interest information and receive suggestions.

[1453] "Interest information" is information entered by a user regarding their hobbies and preferences, including, for example, specific product categories or types of services.

[1454] "Proposals" are plans and product lists that are optimized to meet the user's needs and are generated based on the user's interests and concerns.

[1455] "Reservation" refers to the process by which a user reserves in advance the use of a specific facility or service based on a proposed plan.

[1456] "Transportation" refers to arranging the transportation necessary for the user to use the proposed plan, and examples include taxis and rental cars.

[1457] "Purchase procedure" refers to the procedure by which a user purchases a suggested product online or offline.

[1458] "Delivery Arrangement" means arranging for delivery of purchased items to a specified location.

[1459] "Detailed information" refers to specific data relating to reservation and purchase procedures, transportation and delivery arrangements, including reservation numbers, facility details, transportation details, delivery information, etc.

[1460] The "System" refers to a collection of computer networks and software that performs a series of processes, including inputting user interest information, generating suggestions for the user's private time or products, making reservations or purchasing procedures and arrangements based on those suggestions, and notifying users of detailed information.

[1461] A "generative AI model" is an artificial intelligence algorithm used to analyze a user's interests and past data to generate optimal suggestions.

[1462] A "prompt" is a document containing information about a user's interests that is input to a generative AI model, and suggestions are generated based on this document.

[1463] The system of this invention allows users to input information about their interests and concerns, and based on that information, it makes optimal suggestions, and then consistently provides reservations, transportation arrangements, or product purchase procedures and delivery arrangements. Specific implementation methods for this system are described below.

[1464] This system is composed of multiple hardware and software components. Users access the system using a device such as a smartphone. The device is equipped with a user interface, through which users can input their own interests and concerns. The information entered by the user is sent to a server via the Internet.

[1465] The server is built using a web framework such as Flask and has the ability to receive and process user input data. The server is connected to a database that stores user past data and information on interests and concerns, and user information is managed here.

[1466] The server uses a generative AI model to generate optimal suggestions based on the user's input interest information and past data. This generative AI model is implemented using, for example, a Python machine learning library. The generated suggestions are sent from the server to the user's device and displayed on the user interface.

[1467] When a user selects a desired plan or product from the proposed options, the server uses that information to process reservations and arrange transportation, or to process product purchases and arrange delivery. This uses the APIs of external facilities, service providers, and product providers. Specifically, a reservation request or purchase request is sent to an external system, and once confirmation is received, the details are sent to the user's device.

[1468] For example, if User B enters "I'm interested in useful kitchen gadgets," the server uses the generative AI model to generate optimal product suggestions such as "Mixer Grinder," "Blender," and "Air Fryer," and sends them to the user's device. When User B selects "Blender" and proceeds with the purchase, the server uses the API of the relevant product provider to send a purchase request and arrange for delivery. Order confirmation information is sent from the server to User B's device, including the reservation number and delivery details.

[1469] Specific examples of prompt sentences are as follows:

[1470] example:

[1471] "User B is interested in useful kitchen gadgets."

[1472] In this way, users can easily purchase and use the most suitable products and services based on their interests without any hassle.

[1473] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[1474] Step 1:

[1475] A user accesses the system using a smartphone terminal. The user opens the application and the login screen appears. The user enters their username and password and sends an authentication request to the server. The server references the database and verifies the entered authentication information. If the authentication is successful, the user proceeds to the main screen.

[1476] Step 2:

[1477] The user enters their interests on the main screen. For example, they might enter, "I'm interested in useful kitchen gadgets." This information is sent to the server, which receives this input and feeds it into a generative AI model as a prompt. This model then generates optimal suggestions based on the input information.

[1478] Step 3:

[1479] The server uses the generative AI model to analyze the user's interests and generate appropriate product suggestions. For example, suggestions such as "Mixer Grinder," "Blender," and "Air Fryer" may be generated. These suggestions are sent from the server to the user's device and displayed on the screen.

[1480] Step 4:

[1481] The user selects the desired product from the displayed suggestions. For example, they select "Blender." The selected information is sent to the server. The server retrieves the information about the selected product and starts the purchase process.

[1482] Step 5:

[1483] The server uses the API of an external product provider to proceed with the user's purchase. A purchase request is sent to the product provider, and the purchase is confirmed. At the same time, delivery arrangements are made. Information on delivery arrangements is also made using the external API, and the necessary information is sent to the delivery company, etc.

[1484] Step 6:

[1485] The server generates detailed information about the purchase process and delivery arrangements and sends it to the user's device. This information includes the order number, product name, estimated delivery date, etc. The user receives this notification and can check the details.

[1486] Step 7:

[1487] The user receives the product delivery. The delivery person delivers the product to the specified address. The completion of delivery marks the end of the series of purchase and delivery arrangement processes.

[1488] Furthermore, an emotion engine that estimates the user's emotion may be further combined. That is, the identification processing unit 290 may estimate the user's emotion using the emotion identification model 59, and perform identification processing using the user's emotion.

[1489] This invention relates to an assistant service that provides users with a personalized concierge service that offers suggestions for how to spend their private time, reservations, and transportation options. The system aims to provide more personalized suggestions by combining a conventional suggestion system with an emotion engine that recognizes the user's emotions.

[1490] What the program does:

[1491] First, a user accesses the system using an application. The user first registers and logs in. The server stores the user's registration information in a database and authenticates the login information.

[1492] Enter your interests and preferences:

[1493] Users enter their interests and desired activities through the interface, such as "cooking class," "yoga class," or "museum tour." The server analyzes this information and compares it with past data.

[1494] Recognizing user emotions:

[1495] An emotion engine is used to recognize the user's current emotional state. The emotion engine can recognize the user's emotions using facial expression recognition or voice analysis techniques.

[1496] Plan generation and proposal:

[1497] Next, the server uses an AI algorithm to generate an optimal plan based on the user's input data and emotional state. For example, a plan such as "Saturday morning: cooking class" or "Saturday afternoon: museum tour" is automatically generated. The priority of suggestions is adjusted based on the emotional information recognized by the emotion engine. For example, if the user is feeling stressed, it can prioritize relaxing activities. The generated plan is sent to the user's device, and the user can select the plan they like best from the ones presented.

[1498] Booking and transportation arrangements:

[1499] After selecting the desired plan, the user enters the necessary details into the reservation form. The server processes this information and sends a reservation request to the relevant facility or service provider, while also arranging transportation (such as a taxi or rental car).

[1500] Notification and confirmation:

[1501] The server generates reservation confirmation information and sends it to the user's device. This information includes the reservation number, facility details, and transportation details. The user can review this information and get a detailed understanding of the plan.

[1502] Examples:

[1503] For example, User A wants to "relax this weekend" and uses the system. User A is interested in "cooking classes" and "visiting art museums." When the emotion engine recognizes the stress level of User A from his / her face, the system prioritizes "relaxing activities." A plan is generated that includes relaxation yoga in the Saturday morning and a visit to local art museums in the afternoon, and is displayed on the screen.

[1504] When User A selects this plan, the server makes reservations for relaxation yoga and the art museum, and arranges a taxi. Reservation confirmation information is sent to User A's terminal, allowing User A to easily check the reservation details.

[1505] In this way, users can spend their private time in a way that suits their interests and emotional state without any effort. This system responds to the increasing number of single-person households and helps individual users enjoy their private time efficiently.

[1506] The processing flow will be explained below.

[1507] Step 1:

[1508] User opens the sign-up page

[1509] Terminal: Display the registration page interface.

[1510] User: Enter the required information such as name, email address, and password, and click the "Register" button.

[1511] Step 2:

[1512] The server receives the user information

[1513] Server: Receives user information sent from the front end and checks it against the existing database to see if there are any duplicates.

[1514] Server: If there is no duplicate, save the new user information to the database.

[1515] Server: Send a verification email to the registered email address.

[1516] Step 3:

[1517] The user checks the verification email

[1518] User: Opens his / her email inbox and clicks the link in the verification email.

[1519] Step 4:

[1520] The server performs the authentication process

[1521] Server: Receives the authentication link and updates the corresponding user's account status to "active".

[1522] Step 5:

[1523] The user opens the login page

[1524] User: After email authentication, access the login page, enter your email address and password, and press the "Login" button.

[1525] Server: Checks credentials and authenticates user successfully.

[1526] Step 6:

[1527] Users enter their interests

[1528] Device: The user interface displays a form for entering interest information.

[1529] User: Enter their interests, such as "cooking classes," "yoga classes," or "visiting art museums," and press the "Submit" button.

[1530] Step 7:

[1531] The server receives and analyzes the input information

[1532] Server: Receives the entered interest information and stores it in a database.

[1533] Server: Analyzes the stored data and compares it with past user data.

[1534] Step 8:

[1535] Recognizing the user's emotional state

[1536] Device: Activate the emotion recognition camera and capture the user's facial expressions.

[1537] User: Show your face in front of the camera.

[1538] Emotion engine: Analyzes the user's emotional state using facial expression recognition or voice analysis technology.

[1539] Server: Receives the recognized emotion data and stores the analysis results in a database.

[1540] Step 9:

[1541] The server generates the proposal

[1542] Server: Based on the user's input data and emotional state, the AI ​​algorithm generates the optimal plan. For example, if the user is feeling stressed, it will prioritize relaxing activities.

[1543] Server: Sends the generated plan information to the user's device.

[1544] Step 10:

[1545] The user confirms and selects a plan

[1546] Device: The proposed plan is displayed on the user's device.

[1547] User: Review the plans offered and select the one they like best.

[1548] Step 11:

[1549] The server performs the reservation procedure.

[1550] Server: Calls the API of the reservation channel (facility / service provider) to obtain detailed information about the plan selected by the user and proceed with the reservation procedure.

[1551] Server: Sends reservation requests to each facility or service provider, and the reservation is confirmed.

[1552] Step 12:

[1553] The server arranges transportation

[1554] Server: Uses the APIs of transportation providers to arrange taxis and rental cars for users.

[1555] Step 13:

[1556] The server generates the booking and transportation details

[1557] Server: Generates reservation confirmation information and transportation details, and creates a message to notify the user.

[1558] Step 14:

[1559] The server sends the details to the user

[1560] Server: Generates and sends a confirmation message to the user's device, which includes the reservation number, facility details, and transportation information.

[1561] Terminal: Display the received confirmation message and notify the user.

[1562] Step 15:

[1563] The user confirms the reservation

[1564] User: Check the confirmation message displayed on their device to confirm their reservation and transportation details.

[1565] In this way, users can receive support to spend their private time in a way that suits their interests and emotional state without any hassle.

[1566] Example 2

[1567] Next, a description will be given of Example 2. In the following description, the data processing device 12 will be referred to as a "server" and the robot 414 will be referred to as a "terminal."

[1568] Conventional recommendation systems based on user interests and concerns make uniform suggestions without considering the user's emotional state, which means they have the problem of not being able to adequately respond to the individual needs of users. In particular, there is a lack of private time suggestions that take into account the user's stress and emotional fluctuations, which means that they are unable to provide services that truly satisfy users.

[1569] The specific processing by the specific processing unit 290 of the data processing device 12 in the second embodiment is realized by the following means.

[1570] In this invention, the server includes a means for a user to input interest information, a means for recognizing the user's emotional state, a means for generating suggestions based on the interest information and the recognized emotional state, a means for arranging reservations and transportation, and a means for notifying the user of details of reservations and transportation, thereby enabling personalized private time suggestions and a consistent reservation process that take into account the user's emotional state.

[1571] A "user" is an individual who utilizes the system to receive offers and reservations for private time.

[1572] "Interest Information" is information about activities that a user is interested in or desires to do that user inputs into the system.

[1573] "Emotional state" is information that indicates the user's current emotions and psychological state.

[1574] An "emotion engine" is a system component that includes techniques and algorithms for recognizing a user's emotional state.

[1575] "Suggestions" are recommendations for activities and activities for private time that the system generates based on the user's interests and emotional state.

[1576] "Reservation" is the process of applying in advance for a particular facility or service based on a proposal selected by the user.

[1577] "Transportation" refers to the means of transportation that a user uses to travel to a proposed activity or facility.

[1578] "Notification" is an information transmission method by which the server notifies the user of detailed information about reservations and transportation means.

[1579] "Facility" refers to the location where the user will perform the proposed activity.

[1580] "Service provider" refers to a company or organization that provides services such as activities and transportation to users.

[1581] MODE FOR CARRYING OUT THE INVENTION

[1582] This invention relates to an assistant service that provides users with a personalized concierge service that offers suggestions for how to spend their private time, reservations, and transportation options. The system aims to provide more personalized suggestions by combining a conventional suggestion system with an emotion engine that recognizes the user's emotions.

[1583] User Registration and Login Authentication

[1584] A user starts the application on a device such as a smartphone or tablet and enters their name, email address, and password on the registration screen. The server stores the entered information in a database such as MySQL. The user then logs in with their registered email address and password, and once authenticated, is redirected to the home screen.

[1585] Input of user interests and wishes

[1586] Through an interface within the application, users input their interests and desired activities, such as "cooking class," "yoga class," or "museum tour." The server collects this information, stores it in a database, and then analyzes the data using Python's Pandas library.

[1587] Recognizing user emotions

[1588] When a user activates the emotion recognition feature within the app, the device's camera and microphone are used to capture facial expressions and record audio. The server then analyzes the facial expressions using OpenCV and Dlib, and the voice characteristics using the Google Cloud Speech-to-Text API, thereby recognizing the user's current emotional state.

[1589] Plan generation and proposal

[1590] The server uses an AI algorithm to generate an optimal plan based on the user's input data and the user's recognized emotional state. In this case, TensorFlow or PyTorch is used. For example, if the user is feeling stressed, it will prioritize relaxing activities. The generated plan is displayed on the screen and may be presented as follows:

[1591] "Saturday Morning: Relaxation Yoga"

[1592] "Saturday Afternoon: Museum Tour"

[1593] Booking and transportation arrangements

[1594] The user selects the desired plan and enters the necessary details into the booking form. The server processes this information and sends a booking request to the relevant facility or service provider, while simultaneously arranging for a taxi or car rental using integration technologies such as Twilio.

[1595] Notification and confirmation

[1596] The server generates a reservation confirmation and sends it to the user's device via Firebase Cloud Messaging (FCM), which includes the reservation number, facility details, and transportation details. The user can then review the information displayed on their device and get a detailed understanding of the plan.

[1597] Specific examples

[1598] For example, user A wants to relax on the weekend and uses the system. User A is interested in "cooking classes" and "visiting art museums." When the emotion engine recognizes user A's stress level, the system prioritizes and suggests "relaxing activities." The generated plan is "Saturday morning: relaxation yoga, Saturday afternoon: visiting art museums." When user A selects this plan, the server makes reservations for relaxation yoga and the art museums and arranges for a taxi. Reservation confirmation information is sent to user A's terminal, where user A can check it.

[1599] Example prompts to input to the generative AI model

[1600] You might use a prompt like this:

[1601] "I'd like some suggestions for relaxing activities this weekend."

[1602] "I'm interested in cooking classes and visiting art museums."

[1603] "I'm feeling stressed, so I want to prioritize relaxing plans."

[1604] By using this system, users can spend their private time meaningfully in a way that suits their interests and emotional state without any hassle.

[1605] The flow of the identification process in the second embodiment will be described with reference to FIG.

[1606] A detailed explanation of the program's processing flow

[1607] Step 1: User Registration and Login Authentication

[1608] input:

[1609] The name, email address, and password that the user enters into the application.

[1610] process:

[1611] A user launches an application: A user launches an application on a device such as a smartphone or tablet.

[1612] User enters registration information: User enters name, email address, password and presses "Register" button.

[1613] The server stores the registration information: The server stores the information entered in a database such as MySQL and confirms that the registration is complete.

[1614] User logs in: The user accesses the login screen with their registered email address and password and logs in.

[1615] The server performs authentication: The server checks the information against its database to verify that the combination is correct.

[1616] output:

[1617] The user successfully logs in and is redirected to the home screen.

[1618] Step 2: Enter your interests and preferences

[1619] input:

[1620] Users enter their interests and desired activities, such as "cooking class," "yoga class," or "museum tour."

[1621] process:

[1622] User enters their interest and desired activities: Users enter their interests and desired activities into the application's interface.

[1623] The server receives the inputs: The server receives these inputs and stores them in a database.

[1624] The server analyzes the input information: The server uses Python's Pandas library to analyze the input data and compare it with the user's interests and past data.

[1625] output:

[1626] Based on the analysis results, user interest data is stored in a database.

[1627] Step 3: Recognizing user emotions

[1628] input:

[1629] Facial expression data captured by the device's camera and audio data recorded by the microphone.

[1630] process:

[1631] User initiates emotion engine: The user initiates emotion recognition within the application.

[1632] The device collects emotion data using the camera and microphone: The device's camera captures the user's face and the microphone records their voice.

[1633] Server analyzes emotion data: The server analyzes facial expressions using OpenCV and Dlib, and voice characteristics using Google Cloud Speech-to-Text API.

[1634] output:

[1635] The user's current emotional state is recognized and stored in a database.

[1636] Step 4: Generate and propose a plan

[1637] input:

[1638] User interest data, emotional state data.

[1639] process:

[1640] The server generates a plan using an AI algorithm: The server uses TensorFlow or PyTorch to generate an optimal plan based on the user's interest data and emotional state.

[1641] The server sends the generated plan to the user's terminal: The generated plan is sent to the user's terminal and displayed on the screen.

[1642] output:

[1643] Plans presented to users, such as "Saturday morning: Relaxation yoga" or "Saturday afternoon: Museum visit."

[1644] Step 5: Make your booking and arrange transportation

[1645] input:

[1646] The plan you select and the name and contact information you enter in the booking form.

[1647] process:

[1648] User selects desired plan: User selects the plan they like and fills in the details.

[1649] The server processes the reservation information: The server processes the information entered and sends the reservation request to the relevant facility or service provider.

[1650] Server arranges transportation: The server uses integration technology such as Twilio to arrange taxis or rental cars.

[1651] output:

[1652] A booking confirmation and transportation details are generated.

[1653] Step 6: Notification and confirmation

[1654] input:

[1655] Booking confirmation and transportation details.

[1656] process:

[1657] Server generates booking confirmation: The server generates the information including the booking number, facility details, and transportation details.

[1658] The server sends information to the user device: Information is sent to the user device via Firebase Cloud Messaging (FCM).

[1659] User confirms reservation confirmation information: The user confirms the information displayed on the device and understands the details of the plan.

[1660] output:

[1661] Booking confirmation information and transportation details provided to the user.

[1662] (Application example 2)

[1663] Next, a description will be given of Application Example 2. In the following description, the data processing device 12 will be referred to as a "server" and the robot 414 will be referred to as a "terminal."

[1664] Conventional private time suggestion systems make suggestions based on the user's interests and preferences, but because they cannot consider the user's emotional state, the suggestions do not necessarily meet the user's needs. Furthermore, they often require the user to perform complex operations, resulting in a lack of convenience. Furthermore, transportation suggestions are rarely automatically provided, and users often have to make their own arrangements. It is necessary to solve these problems and provide more personalized private time suggestions based on the user's emotional state and consistent transportation arrangements.

[1665] The specific processing by the specific processing unit 290 of the data processing device 12 in the application example 2 is realized by the following means.

[1666] In this invention, the server includes a means for a user to input interest information, a means for recognizing the user's emotional state, a means for generating suggestions for the user's private time based on the interest information and emotional state, a means for making reservations and arranging transportation based on the suggestions, a means for notifying the user of details of the reservations and transportation, and a system installed in an autonomous vehicle. This allows for personalized suggestions that take the user's emotional state into consideration, enabling the user to spend their private time in a fulfilling manner without hassle.

[1667] "User" refers to an individual or organization that uses the System.

[1668] "Interest Information" refers to information about hobbies and desired activities that a User enters through the System.

[1669] "Emotional state" refers to the user's current psychological and emotional state, as recognized through facial and voice analysis.

[1670] "Private time" refers to personal time that a user can use freely, such as time spent on leisure or hobbies.

[1671] "Suggestion" refers to a plan of activities or services generated by the system based on the user's interests and emotional state.

[1672] "Reservation" means the act of reserving a proposed activity or service in advance.

[1673] "Transportation" refers to the transportation means used by the user to travel to the location of the proposed activity.

[1674] "Notification" refers to the act of communicating information sent by the system to the user.

[1675] "Server" refers to a computer device that processes and manages data for the entire system.

[1676] An "autonomous vehicle" refers to a vehicle that can be driven automatically and is used as a means of transportation for users.

[1677] "Means" refers to a method or device for achieving a particular purpose.

[1678] To realize this invention, the terminal used by the user and the system installed in the autonomous driving vehicle must each function in their respective roles.

[1679] First, the user accesses the system through a terminal (smartphone, tablet, or in-vehicle display). The user first registers and logs in. The server stores the user's registration information in a database and authenticates the login information, ensuring security.

[1680] Users enter their interests and desired activities through the interface, such as "cooking class," "yoga class," or "museum tour." The server analyzes this information and compares it with past data.

[1681] Next, an emotion engine is used to recognize the user's emotional state. The emotion engine uses facial recognition and voice analysis technology to recognize the user's emotions. Specifically, software such as Microsoft Azure Emotion API and IBM Watson Tone Analyzer is used.

[1682] The server uses AI algorithms to generate optimal plans based on the user's input data and emotional state. For example, machine learning models such as TensorFlow and PyTorch are used. The generated suggestions include specific schedules such as "Saturday morning: cooking class" and "Saturday afternoon: museum visit."

[1683] After the user selects the desired plan, the server prompts them to enter the necessary details into a reservation form, then sends a reservation request to the relevant facility or service provider using an API, and simultaneously arranges transportation, including setting up a route for the autonomous vehicle.

[1684] Finally, the server generates reservation confirmation information and sends it to the user's device. This information includes the reservation number, facility details, and transportation details. The user can then review this information to understand the details of the plan.

[1685] To give a specific example, User A gets into an autonomous vehicle and uses the system because he or she wants to "relax." User A is interested in "cooking classes" and "visiting art museums." When the emotion engine recognizes the stress level of User A from his or her face, the system prioritizes and suggests "relaxing activities." For example, a plan may be generated that includes relaxation yoga in the morning on Saturday and a tour of local art museums in the afternoon. When User A selects this plan, the server makes reservations for the relaxation yoga and the museums and sets the route for the autonomous vehicle. The reservation confirmation information is sent to User A's device, allowing User A to spend fulfilling private time without any hassle.

[1686] And an example of a prompt is:

[1687] input:

[1688] "Tell me your current emotional state."

[1689] "Enter the places you want to go or the things you want to do (e.g. yoga, cinema, shopping)."

[1690] Generate:

[1691] "We've detected your stress level. We'll recommend a plan to help you relax."

[1692] "Choose from the following plans: Relaxation drive and spa, walk in the nature park and cafe time."

[1693] "Your selected plan has been booked. We'll begin setting up your transportation."

[1694] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[1695] Step 1:

[1696] The user accesses the system through a device (smartphone, tablet, or display inside the autonomous vehicle) to register or log in. Input includes the user ID and password, and the output is provided with access rights after authentication. The server then stores the user's registration information in a database and authenticates the login information. Specifically, the system collates the user information with a database server (e.g., AWS RDS) and returns the authentication result.

[1697] Step 2:

[1698] Users input their interests and desired activities through the device interface. Examples of inputs include "cooking class," "yoga class," and "museum tour." This data is sent to the server and stored in a database. The server analyzes this information and compares it with past data. Specifically, the system analyzes the user's interest information using Natural Language Processing (NLP) algorithms (e.g., spaCy or NLTK) and retrieves related past data from the database.

[1699] Step 3:

[1700] To recognize the user's emotional state, an emotion engine uses the in-car camera and microphone. Inputs include facial expression data and tone of voice, and the output identifies the user's emotional state. Specifically, the image data captured by the camera is sent to the Microsoft Azure Emotion API, and the voice data is sent to the IBM Watson Tone Analyzer, and the results are received by the server.

[1701] Step 4:

[1702] The server uses an AI algorithm to generate an optimal plan based on the user's input data and emotional state. The input includes the user's interests and emotional state, and the output is a proposed plan. Specifically, the machine learning algorithm of the generative AI model (e.g., TensorFlow or PyTorch) processes the data and provides the user with suggestions such as "relaxation drives" and "spa experiences."

[1703] Step 5:

[1704] The user selects the desired plan from the proposed plans. The selected plan is sent to the server and a reservation form is displayed. The input includes details of the plan selected by the user, and the output generates a reservation request. Specific operations include sending the details of the selected plan to an existing API (e.g., the API of an external facility or service provider) and checking the reservation status.

[1705] Step 6:

[1706] The server arranges transportation based on the selected plan. The input includes details of the plan selected by the user, and the output is the completed transportation arrangement. Specifically, the navigation system sets the route for the autonomous vehicle and sends requests to external transportation service APIs as needed.

[1707] Step 7:

[1708] Finally, the server generates reservation confirmation information and notifies the user's device. The input includes information that the reservation and transportation arrangements have been completed, and the output generates a notification to be sent to the user's device. Specifically, the server creates a notification message containing the confirmation number, facility details, and transportation details, and sends it to the user's device.

[1709] The specific processing unit 290 transmits the result of the specific processing to the robot 414. In the robot 414, the control unit 46A causes the speaker 240 and the control target 443 to output the result of the specific processing. The microphone 238 acquires voice indicating a user input regarding the result of the specific processing. The control unit 46A transmits voice data indicating the user input acquired by the microphone 238 to the data processing device 12. In the data processing device 12, the specific processing unit 290 acquires the voice data.

[1710] The data generation model 58 is a so-called generative AI (Artificial Intelligence). An example of the data generation model 58 is ChatGPT (Internet Search<URL: https: / / openai.com / blog / chatgpt> ), Gemini (Internet search <url: https: gemini.google.com ?hl="ja">) and other generation AIs. The data generation model 58 is obtained by performing deep learning on a neural network. A prompt including an instruction is input to the data generation model 58, and inference data such as voice data indicating voice, text data indicating text, and image data indicating an image is also input. The data generation model 58 performs inference on the input inference data in accordance with the instruction indicated by the prompt, and outputs the inference result in a data format such as voice data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization.

[1711] In the above embodiment, an example was given in which the specific processing is performed by the data processing device 12, but the technology of the present disclosure is not limited to this, and the specific processing may be performed by the robot 414.

[1712] The emotion identification model 59 as an emotion engine may determine the user's emotion according to a specific mapping. Specifically, the emotion identification model 59 may determine the user's emotion according to an emotion map (see FIG. 9), which is a specific mapping. Similarly, the emotion identification model 59 may determine the robot's emotion, and the identification processing unit 290 may perform identification processing using the robot's emotion.

[1713] FIG. 9 is a diagram illustrating an emotion map 400 on which multiple emotions are mapped. In the emotion map 400, emotions are arranged in concentric circles radiating from the center. Emotions closer to the center of the concentric circles are more primitive. Emotions representing states and actions arising from a state of mind are arranged on the outer edges of the concentric circles. The concept of emotion includes both affect and mental states. Emotions generally generated from reactions occurring in the brain are arranged on the left side of the concentric circles. Emotions generally induced by situational judgment are arranged on the right side of the concentric circles. Emotions generally generated from reactions occurring in the brain and induced by situational judgment are arranged on the upper and lower sides of the concentric circles. Furthermore, the emotion of "pleasure" is arranged on the upper side of the concentric circles, and the emotion of "discomfort" is arranged on the lower side. In this way, in the emotion map 400, multiple emotions are mapped based on the structure by which emotions are generated, and emotions that tend to occur simultaneously are mapped close to each other.

[1714] These emotions are distributed in the 3 o'clock direction on emotion map 400, and typically fluctuate between relief and anxiety. In the right half of emotion map 400, situational awareness dominates over internal sensations, resulting in a sense of calm.

[1715] The inside of emotion map 400 represents what is going on in the mind, and the outside of emotion map 400 represents behavior, so the further you go outside emotion map 400, the more visible the emotions become (the more they are expressed in behavior).

[1716] Human emotions are based on various balances, such as posture and blood sugar levels. When these balances deviate from the ideal, a state of discomfort is indicated, and when they approach the ideal, a state of pleasure is indicated. Emotions can also be created for robots, automobiles, and motorcycles, based on various balances, such as posture and remaining battery life. When these balances deviate from the ideal, a state of discomfort is indicated, and when they approach the ideal, a state of pleasure is indicated. An emotion map can be generated, for example, based on Dr. Mitsuyoshi's emotion map (Research on Voice Emotion Recognition and Emotional Brain Physiological Signal Analysis Systems, Tokushima University, Doctoral Dissertation: https: / / ci.nii.ac.jp / naid / 500000375379). The left half of the emotion map lists emotions belonging to the "reaction" domain, where sensation is dominant. The right half of the emotion map lists emotions belonging to the "situation" domain, where situational awareness is dominant.

[1717] The emotion map defines two emotions that promote learning. One is a negative emotion on the situation side, around the middle of "repentance" or "reflection." In other words, this occurs when the robot experiences negative emotions such as "I never want to feel this way again" or "I don't want to be scolded again." The other is a positive emotion on the response side, around "desire." In other words, this occurs when the robot experiences positive feelings such as "I want more" or "I want to know more."

[1718] The emotion identification model 59 inputs user input into a pre-trained neural network, obtains emotion values ​​indicating each emotion shown in the emotion map 400, and determines the user's emotion. This neural network is pre-trained based on multiple pieces of training data that are combinations of user input and emotion values ​​indicating each emotion shown in the emotion map 400. Furthermore, this neural network is trained so that emotions that are located close to each other have similar values, as in the emotion map 900 shown in FIG. 10. FIG. 10 shows an example in which multiple emotions, "relieved," "calm," and "reassuring," have similar emotion values.

[1719] The system according to the present disclosure has been described above mainly with respect to the functions of the data processing device 12, but the system according to the present disclosure is not necessarily implemented on a server. The system according to the present disclosure may be implemented as a general information processing system. The present disclosure may be implemented, for example, as a software program running on a personal computer or an application running on a smartphone, etc. The method according to the present disclosure may be provided to users in the form of SaaS (Software as a Service).

[1720] In the above embodiment, an example was given in which the specific processing is performed by one computer 22, but the technology of the present disclosure is not limited to this, and the specific processing may be distributed and performed by a plurality of computers including the computer 22. For example, the data generation model 58 may be provided in an external device of the data processing device 12, and data may be generated in the external device in accordance with input data.

[1721] In the above embodiment, an example in which the specific processing program 56 is stored in the storage 32 has been described, but the technology of the present disclosure is not limited to this. For example, the specific processing program 56 may be stored in a portable, computer-readable, non-transitory storage medium such as a USB (Universal Serial Bus) memory. The specific processing program 56 stored in the non-transitory storage medium is installed in the computer 22 of the data processing device 12. The processor 28 executes the specific processing in accordance with the specific processing program 56.

[1722] 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.

[1723] It is not necessary to store all of the specific processing program 56 in a storage device such as a server connected to the data processing device 12 via the network 54, or to store all of the specific processing program 56 in the storage 32; only a portion of the specific processing program 56 may be stored.

[1724] The hardware resource for executing a specific process can be any of the following processors: An example of a processor is a CPU, which is a general-purpose processor that functions as a hardware resource for executing a specific process by executing software, i.e., a program. Another example of a processor is a dedicated electrical circuit, such as an FPGA (Field-Programmable Gate Array), a PLD (Programmable Logic Device), or an ASIC (Application Specific Integrated Circuit), which is a processor with a circuit configuration designed specifically for executing a specific process. Each processor has built-in or connected memory, and each processor uses the memory to execute the specific process.

[1725] The hardware resource that executes the specific processing may be configured with one of these various processors, or may be configured with a combination of two or more processors of the same or different types (for example, a combination of multiple FPGAs, or a combination of a CPU and an FPGA). Also, the hardware resource that executes the specific processing may be a single processor.

[1726] As an example of a system configured with a single processor, first, one processor is configured by combining one or more CPUs and software, and this processor functions as a hardware resource that executes a specific process. Second, there is a system that uses a processor that realizes the functions of an entire system including multiple hardware resources that execute a specific process on a single IC chip, as typified by SoC (System-on-a-chip). In this way, a specific process is realized using one or more of the above-mentioned various processors as hardware resources.

[1727] Furthermore, the hardware structure of these various processors can be, more specifically, an electric circuit that combines circuit elements such as semiconductor devices. The specific processing described above is merely an example. Therefore, it goes without saying that unnecessary steps may be deleted, new steps may be added, or the processing order may be rearranged, without departing from the spirit of the invention.

[1728] The above-described description and illustrations are a detailed explanation of the parts related to the technology of the present disclosure and are merely an example of the technology of the present disclosure. For example, the above description of the configuration, functions, actions, and effects is an explanation of an example of the configuration, functions, actions, and effects of the parts related to the technology of the present disclosure. Therefore, it goes without saying that unnecessary parts may be deleted, new elements may be added, or replacements may be made to the above-described description and illustrations within the scope of the gist of the technology of the present disclosure. Furthermore, to avoid confusion and facilitate understanding of the parts related to the technology of the present disclosure, the above-described description and illustrations omit explanations of common technical knowledge that do not require particular explanation to enable the implementation of the technology of the present disclosure.

[1729] All publications, patent applications, and technical standards mentioned in this specification are herein incorporated by reference to the same extent as if each individual publication, patent application, or technical standard was specifically and individually indicated to be incorporated by reference.

[1730] The following is further disclosed regarding the above embodiment.

[1731] (Claim 1)

[1732] a means for users to input interest information;

[1733] A means for generating suggestions for the user's private time based on the interest information;

[1734] means for making reservations and arranging transportation based on said suggestions;

[1735] means for notifying the user of the reservation and detailed information of the means of transportation;

[1736] A system including:

[1737] (Claim 2)

[1738] the means for generating the suggestions uses an algorithm that analyzes the user's past data and interest information;

[1739] 10. The system of claim 1.

[1740] (Claim 3)

[1741] The means for making reservations and arranging transportation uses APIs of external facilities and service providers to send reservation requests;

[1742] 10. The system of claim 1.

[1743] "Example 1"

[1744] (Claim 1)

[1745] a means for users to input interest information;

[1746] A means for generating suggestions for the user's private time based on the interest information;

[1747] means for making reservations and arranging transportation based on said suggestions;

[1748] means for notifying the user of the reservation and detailed information of the means of transportation;

[1749] means for registering and authenticating user accounts;

[1750] means for using an algorithm to analyze said interest information;

[1751] A means for analyzing the user's past data to generate an optimal plan;

[1752] A means of sending reservation requests using APIs of external facilities and service providers;

[1753] A system including:

[1754] (Claim 2)

[1755] the means for generating the suggestions uses an algorithm that analyzes the user's past data and interest information;

[1756] 10. The system of claim 1.

[1757] (Claim 3)

[1758] The means for making reservations and arranging transportation uses APIs of external facilities and service providers to send reservation requests;

[1759] 10. The system of claim 1.

[1760] "Application Example 1"

[1761] (Claim 1)

[1762] a means for users to input interest information;

[1763] A means for generating a proposal for a user's private time or a product based on the interest information;

[1764] A means for making reservations and transportation or purchasing goods and arranging delivery based on the proposal;

[1765] a means for notifying the user of the details of the reservation and transportation means or product purchase procedure and delivery arrangements;

[1766] A system including:

[1767] (Claim 2)

[1768] The means for generating the suggestions uses an algorithm with a generative AI model that analyzes the user's past data and interest information.

[1769] 10. The system of claim 1.

[1770] (Claim 3)

[1771] The means for making reservations and arranging transportation, and for making product purchase procedures and delivery arrangements use APIs of external facilities and service providers or product providers to send reservation requests and purchase procedure requests;

[1772] 10. The system of claim 1.

[1773] "Example 2: Combining Emotion Engines"

[1774] (Claim 1)

[1775] a means for users to input interest information;

[1776] A means for generating suggestions for the user's private time based on the interest information;

[1777] means for recognizing an emotional state of a user using an emotion engine;

[1778] means for making reservations and arranging transportation based on said suggestions;

[1779] means for notifying the user of the reservation and detailed information of the means of transportation;

[1780] A system including:

[1781] (Claim 2)

[1782] the means for generating the suggestions uses an algorithm that analyzes the user's past data, interests, and emotional state;

[1783] 10. The system of claim 1.

[1784] (Claim 3)

[1785] The means for making reservations and arranging transportation sends reservation requests using collaboration technology with external facilities and service providers;

[1786] 10. The system of claim 1.

[1787] "Application example 2 when combining emotion engines"

[1788] (Claim 1)

[1789] a means for users to input interest information;

[1790] A means for generating suggestions for the user's private time based on the interest information;

[1791] means for recognizing the emotional state of a user;

[1792] means for considering an emotional state of a user when generating said suggestions;

[1793] means for making reservations and arranging transportation based on said suggestions;

[1794] means for notifying the user of the reservation and detailed information of the means of transportation;

[1795] A system installed in an autonomous vehicle.

[1796] A system including:

[1797] (Claim 2)

[1798] the means for generating the suggestions uses an algorithm that analyzes the user's past data and interest information;

[1799] 10. The system of claim 1.

[1800] (Claim 3)

[1801] The means for making reservations and arranging transportation uses APIs of external facilities and service providers to send reservation requests;

[1802] 10. The system of claim 1. [Explanation of symbols]

[1803] 10, 210, 310, 410 Data Processing Systems 12 Data Processing Device 14 Smart Devices 214 Smart Glasses 314 Headset-type terminal 414 Robot< / url:> < / url:> < / url:> < / url:>

Claims

1. a means for a user to input interest information; means for generating suggestions for the user's private time based on the interest information; means for making reservations and arranging transportation based on said suggestions; means for notifying the user of the reservation and detailed information of the means of transportation; A system including:

2. the means for generating suggestions uses an algorithm that analyzes the user's historical data and interest information; The system of claim 1 .

3. The means for making reservations and arranging transportation uses APIs of external facilities and service providers to send reservation requests; The system of claim 1 .

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