System

Abstract

To provide a system which enables a user to efficiently enjoy an optimum private time without going through complicated procedures by himself / herself.SOLUTION: A means for collecting calendar information, browsing history, e-mail, and chat data from a user terminal, a means for transmitting the collected data to a server and updating a user profile, a means for the server to automatically generate an optimal private schedule plan based on the user profile, a means for transmitting the generated schedule plan to the user terminal and asking the user for confirmation and approval, a means for automatically making a reservation on the Internet based on the user's approval, a means for notifying the user of the confirmed schedule and reservation details, and a means for transmitting a reminder to the user when a cancellation deadline approaches and automatically canceling the reservation as necessary.SELECTED DRAWING: Figure 1

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 today's busy lifestyles, people spend a lot of time on school, work, family, and social interactions, making it difficult to secure private time in a planned manner. As a result, users often are unable to fully realize their desired leisure activities. To solve this problem, a system is needed that can automatically generate an optimal private schedule based on the user's past behavioral patterns and preferences, and optimize how they spend their private time, including making and managing reservations. [Means for solving the problem]

[0005] The present invention is a system that provides means for collecting calendar information, browsing history, email and chat data from a user terminal, means for transmitting the collected data to a server and updating the user profile, means for the server to automatically generate an optimal private schedule proposal based on the user profile, means for transmitting the generated schedule proposal to the user terminal and requesting the user's confirmation and approval, means for automatically making reservations over the Internet based on the user's approval, means for notifying the user of the confirmed schedule and reservation details, and means for sending a reminder to the user when the cancellation deadline is approaching and automatically canceling the reservation as necessary. This allows users to efficiently enjoy optimal private time without having to go through complicated procedures themselves.

[0006] A "user terminal" is an electronic device that is directly operated by a user, and includes devices such as smartphones, tablets, and personal computers.

[0007] "Calendar information" refers to information about events and schedules entered into a calendar application used by a user.

[0008] "Browsing history" is a record of searches and browsing that a user has performed via a web browser.

[0009] "Email" is a text-based means of communication sent and received over the Internet.

[0010] "Chat" is a means of communication in which text messages are exchanged in real time.

[0011] "Means of collecting data" refers to programs or methods for obtaining necessary information from user terminals.

[0012] "Server" means a computer system that processes and stores data and manages communications with user devices.

[0013] A "user profile" is a data set that integrates information such as a user's behavioral patterns and preferences.

[0014] A "private schedule proposal" is a schedule that suggests the optimal activity plan for the user's leisure time.

[0015] "Means for requesting confirmation and approval" means a program or method for notifying a user of the proposed schedule and obtaining a response.

[0016] A "means for making a reservation" is a program or method for automatically making the necessary reservation over the Internet, with the user's approval.

[0017] "Reservation details" refers to specific information about a confirmed reservation (date, time, location, service details, etc.).

[0018] A "reminder" is a notification or alert that reminds the user of a specific event or deadline.

[0019] An "automatic cancellation mechanism" is a program or method for automatically canceling a reservation if the user does not confirm within the specified time limit. [Brief explanation of the drawings]

[0020] [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

[0021] 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.

[0022] First, the terms used in the following description will be explained.

[0023] 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).

[0024] 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.

[0025] 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.

[0026] 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.

[0027] 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."

[0028] [First embodiment]

[0029] FIG. 1 shows an example of the configuration of a data processing system 10 according to the first embodiment.

[0030] 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.

[0031] 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).

[0032] 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.

[0033] 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.

[0034] 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.

[0035] 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.

[0036] FIG. 2 shows an example of the main functions of the data processing device 12 and the smart device 14.

[0037] 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.

[0038] 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.

[0039] 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.

[0040] 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."

[0041] The private life enrichment support system of the present invention is a system that supports users in spending quality private time even in the midst of a busy lifestyle. Specific embodiments of the system are described below.

[0042] System Configuration

[0043] This system consists of two main components: a user device and a server. The user device can be a smartphone, tablet, or PC and acts as the interface with the user. The server is the central computer system that analyzes data, generates schedules, and manages reservations.

[0044] Main features

[0045] 1. Data Collection:

[0046] The user's device collects calendar information, browsing history, email, and chat data. This involves obtaining schedule information from calendar applications, extracting keywords of interest from web browser browsing history, and analyzing the user's communication content from email and chat apps to extract interests and schedules.

[0047] 2. Profile Update:

[0048] The server receives the data sent from the user's device and updates the user profile based on the user's behavioral patterns and preferences, preparing to propose a personalized schedule.

[0049] 3. Schedule generation:

[0050] The server automatically generates optimal private schedule suggestions based on the updated user profile. Specifically, it plans trips and event options taking into account past behavioral patterns, current trends, and seasonal factors. The generated schedule suggestions are adjusted to match the user's hobbies and tendencies.

[0051] 4. Schedule Notification and Confirmation:

[0052] The user terminal receives the proposed schedule from the server and notifies the user, who then checks and approves the proposed schedule.

[0053] 5. Making a reservation:

[0054] With the user's approval, the server automatically makes the necessary reservations over the Internet, including reserving accommodations and purchasing event tickets. If the reservation is successful, the server notifies the user's device of the reservation information.

[0055] 6. Notifications and Reminders:

[0056] The user device will notify the user of the confirmed schedule and reservation details, and will also notify the user as a reminder when the cancellation deadline approaches.

[0057] 7. Automatic Cancellation:

[0058] Information is sent from the user's terminal to the server, and reservations that the user has not confirmed by the deadline are automatically canceled, preventing unnecessary reservation fees from being incurred.

[0059] Specific examples

[0060] For example, suppose a user is interested in "hot spring trips." The user's device retrieves the information "No plans for next weekend" from the calendar and detects keywords such as "hot springs" and "trips" from the search history of the web browser.

[0061] Based on this information, the server updates the user's profile to indicate that "the user is interested in hot spring trips" and proposes a "hot spring trip schedule for the following weekend." The user's device notifies the user of this proposed schedule, and when the user presses the approval button, the information is sent to the server, and the hot spring inn reservation is automatically made. The user is then notified of the confirmed reservation details and schedule. When the cancellation deadline approaches, the user is sent a reminder, and if they do not confirm within the deadline, the server automatically cancels the reservation.

[0062] In this way, the system of the present invention allows users to efficiently enjoy optimal private time without having to go through complicated procedures themselves.

[0063] The processing flow will be explained below.

[0064] Step 1:

[0065] The user terminal acquires calendar information, which includes an operation of accessing a calendar application and collecting information on appointments and free time entered by the user.

[0066] Step 2:

[0067] The user terminal acquires the browsing history of the web browser, which includes an operation of analyzing the search history for specific keywords (e.g., hot springs, travel).

[0068] Step 3:

[0069] The user terminal acquires email and chat data, which includes analyzing the contents of received emails and chat messages and extracting schedules and interests.

[0070] Step 4:

[0071] The user device consolidates all collected data into a single data set and sends it to the server, including calendar information, browsing history, email content, and chat messages.

[0072] Step 5:

[0073] The server receives data sent from the user's device, and collects information that reveals the user's behavioral patterns and preferences.

[0074] Step 6:

[0075] The server analyzes the received data and updates the user profile by using machine learning algorithms to learn the user's interests and tendencies and reflect the results in the profile.

[0076] Step 7:

[0077] The server automatically generates optimal private schedule proposals for each user based on the updated user profile, including planning that takes into account past behavioral patterns, current trends, and seasonal factors.

[0078] Step 8:

[0079] The server transmits the generated schedule proposal to the user terminal, allowing the user to check the proposed schedule proposal.

[0080] Step 9:

[0081] The user terminal receives the proposed schedule from the server and notifies the user, who then checks the proposed schedule and selects whether to approve or modify it.

[0082] Step 10:

[0083] When the user approves the proposed schedule, the information is sent from the user's device to the server, which triggers the server to start the next processing step.

[0084] Step 11:

[0085] With the user's approval, the server automatically makes the necessary reservations over the Internet, such as reserving accommodation or purchasing tickets to an event.

[0086] Step 12:

[0087] If the reservation is successful, the server sends the details to the user's terminal, allowing the user to check the reservation details.

[0088] Step 13:

[0089] The user terminal notifies the user of the confirmed schedule and reservation details. The user is informed that the schedule has been confirmed and the specific reservation contents.

[0090] Step 14:

[0091] When the cancellation deadline approaches, the user terminal will send a reminder to the user, urging the user to confirm or cancel the reservation within the deadline.

[0092] Step 15:

[0093] If the user does not confirm or take any action after the cancellation deadline has passed, that information is sent from the user terminal to the server.

[0094] Step 16:

[0095] The server automatically cancels the reservation. The user's terminal is notified that the cancellation has been completed, and the user is also notified of the cancellation.

[0096] Through these steps, the system of the present invention allows users to enjoy quality private time while saving time and effort.

[0097] Example 1

[0098] 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."

[0099] Today's busy lifestyles make it difficult and cumbersome for users to plan and book activities that allow them to spend quality time. Manual scheduling and booking procedures, in particular, are extremely time-consuming and laborious, placing a significant burden on users. Furthermore, while it is necessary to accurately understand users' past behavioral patterns and current interests in order to propose plans that match their interests and preferences, there is currently a lack of effective methods for achieving this.

[0100] 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.

[0101] In this invention, the server includes means for collecting schedule management information, web history, email, and communication application data from the user terminal, means for transmitting the collected data to the server and updating the user profile, means for the server to automatically generate an optimal personalized schedule proposal based on the user profile, means for transmitting the generated schedule proposal to the user terminal and requesting the user's confirmation and approval, means for automatically executing the reservation over the network based on the user's approval, means for notifying the user of the confirmed schedule and reservation details, and means for sending a reminder to the user when the cancellation deadline is approaching and automatically canceling the reservation as necessary. This allows users to efficiently enjoy high-quality private time without going through complicated procedures.

[0102] "User terminal" means an electronic device used by a user, including a smartphone, tablet, or personal computer.

[0103] "Date management information" refers to schedule and appointment information stored in a user's calendar or schedule management application.

[0104] "Web history" refers to the record of websites and search queries a user has visited through their internet browser.

[0105] "Email" refers to the content of communication messages sent or received by a User through the Email Service, as well as their metadata.

[0106] "Communications application" refers to a software application that enables text chat, voice, or video calls between users, including, for example, messaging apps and social networking apps.

[0107] "Server" refers to the central computer system that analyzes data, updates profiles, generates schedules and manages reservations.

[0108] "User Profile" refers to a database entry created based on a user's behavioral patterns and preferences.

[0109] "Personalized schedule suggestions" refers to private activity plans suggested based on the user's hobbies, interests, and past behavioral data.

[0110] "Network" refers to a communications infrastructure that allows computers and other devices to share information.

[0111] A "reminder" is a notification or alert that prompts the user to take a specific action.

[0112] A "generative AI model" refers to an artificial intelligence algorithm that analyzes user data and makes predictions and suggestions.

[0113] The system of this invention is a support system for efficiently enriching users' private time. Its specific configuration consists of two main components: a user terminal and a server. The user terminal is a smartphone, tablet, or PC, and functions as an interface with the user. The server is a central computer system that performs data analysis, profile updates, schedule generation, and reservation management.

[0114] Data collection implementation:

[0115] The user's device collects the user's schedule information, web history, email, and communication application data. Specifically, for example, it retrieves calendar information using the Google Calendar API, analyzes search history using a Chrome extension, and also analyzes the Gmail IMAP API and message content from communication applications.

[0116] Profile update implementation:

[0117] The server receives data in JSON format sent from the user device via the HTTPS protocol, then analyzes the data using Python's Pandas library and updates the user profile based on the user's behavioral patterns and preferences.

[0118] Schedule generation embodiment:

[0119] The server automatically generates optimal personalized schedule suggestions using a generative AI model (e.g., GPT-3) based on the updated user profile. The AI ​​creates suggestions by inputting a prompt sentence into the generative AI model: "Please suggest plans for next weekend. My recent browser history includes 'hot springs' and 'travel.'"

[0120] Schedule notification and confirmation implementation:

[0121] The server sends the generated schedule proposal in JSON format to the user's device, which then notifies the user via mobile push notification or in-app notification and displays an "Approve" button on the app's UI, allowing the user to review and approve the schedule proposal.

[0122] Reservation form:

[0123] When the user presses the approval button, the information is sent to the server. The server then calls the API of the travel site or facility reservation system to make the reservation for the specified dates. If the reservation is successful, the information is sent back to the user's device in JSON format.

[0124] Notification and reminder implementation examples:

[0125] The user's device will notify them of the confirmed schedule and reservation details via push notification, and will also use the timer function in the calendar app to send reminders when the cancellation deadline approaches.

[0126] Implementation of automatic cancellation:

[0127] The server checks the cancellation deadline, and if the user does not confirm by the deadline, it calls the reservation system's API to automatically process the cancellation.

[0128] This system allows users to easily find the best plan based on their interests and schedule, eliminating complicated procedures and allowing them to enjoy relaxing private time efficiently.

[0129] The flow of the identification process in the first embodiment will be described with reference to FIG.

[0130] Step 1:

[0131] The user terminal acquires the calendar information.

[0132] Specific operation: The user device uses the Google Calendar API to obtain the user's schedule information.

[0133] Input: Google Calendar API credentials.

[0134] Output: Current user's schedule information in JSON format.

[0135] The calendar information includes the user's schedule and free time, and is used for planning purposes in subsequent processes.

[0136] Step 2:

[0137] The user terminal acquires the web history.

[0138] What it does: It uses a Chrome extension to analyze the search history from the past week and extract keywords such as "hot springs" and "travel."

[0139] Input: Web browser history data.

[0140] Output: A list of keywords that indicate user interest.

[0141] Keywords extracted from web history are used for subsequent planning as information reflecting the user's current interests.

[0142] Step 3:

[0143] The user terminal analyzes the messages in the email and communication applications.

[0144] What it does: It uses Gmail's IMAP API to analyze the subject and body of incoming emails and extract specific keywords, as well as chat messages from communication applications.

[0145] Input: Message content for email and communication applications.

[0146] Output: A list of keywords related to the user's interests and agenda.

[0147] Data extracted from emails and message content provides valuable information that reflects users' lifestyles and interests.

[0148] Step 4:

[0149] The server receives and analyzes the collected data.

[0150] Specific operation: Receives data sent from the user terminal via HTTPS in JSON format, then uses Python's Pandas library to store the data in a data frame and analyze it.

[0151] Input: Calendar information, web history, email, and data from communication applications.

[0152] Output: A user profile based on user behavior patterns and preferences.

[0153] By analyzing the collected data, we understand user trends and interests and update their profiles.

[0154] Step 5:

[0155] The server generates an optimal personalized schedule proposal.

[0156] Specific operation: Based on the updated user profile, a prompt sentence is input into a generative AI model (e.g., GPT-3), and the AI ​​generates a proposed schedule.

[0157] Input: User profile, prompt (e.g. "Please suggest something for next weekend. My recent browser history includes 'hot springs' and 'travel'.").

[0158] Output: Optimal personalized schedule proposal.

[0159] The generated schedule proposals are adjusted to match the user's tastes and preferences.

[0160] Step 6:

[0161] The server transmits the generated schedule proposal to the user terminal.

[0162] Specific operation: The generated schedule proposal is sent to the user's device in JSON format.

[0163] Input: Optimal personalized schedule suggestions.

[0164] Output: The proposed schedule sent to the user.

[0165] The user terminal receives this information and notifies the user.

[0166] Step 7:

[0167] The user terminal notifies the user of the proposed schedule and requests approval.

[0168] What it does: Inform users of the new schedule proposal via mobile push notifications and in-app notifications. Show an "Approve" button in the app UI.

[0169] Input: Schedule proposal sent from the server.

[0170] Output: The proposed schedule notified to the user.

[0171] Users can review and approve the proposed schedule.

[0172] Step 8:

[0173] The user reviews and approves the proposed schedule.

[0174] Specific behavior: Operate the "Approve" button on the application's UI.

[0175] Input: User decision.

[0176] Output: The approval result is sent to the server.

[0177] The approved information is passed to the server and the next step is taken.

[0178] Step 9:

[0179] The server receives the user's approval and executes the reservation.

[0180] Specific operation: Calls the API of a travel site or facility reservation system and makes a reservation for the specified dates.

[0181] Input: User approval information, proposed schedule.

[0182] Output: Booking completion information.

[0183] If the reservation is successful, the information will be notified to the user in the next step.

[0184] Step 10:

[0185] The server sends the reservation details to the user terminal.

[0186] Specific operation: Sends reservation details in JSON format to the user's device.

[0187] Input: Booking completion information.

[0188] Output: Booking details sent to the user.

[0189] Users can check the reservation details.

[0190] Step 11:

[0191] The user terminal notifies the user of the reservation details and schedule.

[0192] Specific behavior: Send a push notification to the user to inform them of the reservation details.

[0193] Input: Booking details.

[0194] Output: Booking details and schedule notified to user.

[0195] The user will receive a notification to confirm.

[0196] Step 12:

[0197] The user terminal sends a reminder when the cancellation deadline approaches.

[0198] What it does: Uses the timer feature in your calendar app to send you a reminder when the cancellation deadline approaches.

[0199] Input: Reservation details, cancellation deadline.

[0200] Output: Reminder notification.

[0201] A reminder is set for the user to take note of.

[0202] Step 13:

[0203] The server will automatically cancel any reservations that the user does not confirm in time.

[0204] Specific operation: Checks the cancellation deadline, and if the deadline has passed, calls the reservation system's API to process the cancellation.

[0205] Input: Cancellation deadline information.

[0206] Output: Reservation cancellation notice.

[0207] Unnecessary reservations are automatically cancelled to prevent unnecessary costs.

[0208] (Application example 1)

[0209] 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."

[0210] For users who lead busy lifestyles, it is difficult to secure quality private time. Furthermore, meal preparation also requires time, making overall time management extremely cumbersome. The objective of this invention is to provide a system that allows users to efficiently manage their schedules and receive meal suggestions and offers tailored to their lifestyles.

[0211] 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.

[0212] In this invention, the server includes means for collecting calendar information, browsing history, email and chat data from the user terminal, means for sending the collected data to the server and updating the user profile, means for the server to automatically generate an optimal private schedule proposal based on the user profile, means for sending the generated schedule proposal to the user terminal and requesting the user's confirmation and approval, means for automatically making a reservation over the Internet based on the user's approval, means for notifying the user of the confirmed schedule and reservation details, means for sending a reminder to the user when the cancellation deadline is approaching and automatically canceling the reservation as necessary, and means for suggesting optimal food delivery based on the user's dietary preferences and schedule and automatically ordering. This allows users to spend quality private time without the hassle of time management and meals.

[0213] "User terminal" means a device that acts as an interface with a user and collects calendar information, browsing history, email and chat data.

[0214] "Calendar information" refers to schedule information including details of the user's plans and events.

[0215] "Browsing history" refers to the history of web pages a user has accessed on the Internet.

[0216] "Email" means an electronic message sent or received over the Internet.

[0217] "Chat Data" means messages exchanged between users through chat applications.

[0218] A "server" is a central computer system that analyzes data, generates schedules, and manages reservations.

[0219] "User profile" means profile information that reflects a user's behavioral patterns and preferences, generated based on collected data.

[0220] "Private schedule proposals" are automatically generated schedule suggestions tailored to the user's lifestyle.

[0221] The "Internet" is an international network system that connects networks around the world and enables the exchange of information.

[0222] "Reservation" means reserving a specific date, time, location, service, etc. in advance.

[0223] A "reminder" is a notification sent to the user to inform them of important events or deadlines.

[0224] "Food delivery" refers to a service that allows users to have meals delivered to a specific location and time.

[0225] The present invention is a system for supporting users in enriching their meals and private time, and is implemented using a user terminal and a server. A detailed description of the system is provided below.

[0226] Main functions and configuration

[0227] User Device

[0228] User devices can be smartphones, tablets or PCs. They act as an interface between the user and the system and collect data such as:

[0229] Calendar Information

[0230] Browsing history

[0231] Email

[0232] Chat Data

[0233] This collected data is sent to a server, where a personalized profile is created based on the user's real-time information.

[0234] server

[0235] The server plays a key role in analyzing data, updating user profiles, and automatically generating private schedule suggestions and food delivery suggestions. Specifically, it performs the following tasks:

[0236] 1. Data analysis and profile update: Analyze user behavior patterns based on the received data and update the profile.

[0237] 2. Schedule Generation: Generates an optimal private schedule based on the updated profile, taking into account past behavioral patterns, current trends, and seasonal factors.

[0238] 3. Food delivery suggestions: Taking into account the user's food preferences and schedule, we suggest the most suitable food delivery options.

[0239] Detailed processing

[0240] Data collection and profile updates

[0241] Data collected from the user's device is sent to a server, which uses it to update the user profile, for example by retrieving the user's schedule from their smartphone's calendar information and emails, or analyzing their food preferences from their browser history.

[0242] Schedule Generation and Notification

[0243] The server generates a private schedule proposal based on the updated profile, which is then sent to the user's device, where the user can review and approve the proposal, allowing the user to plan quality private time.

[0244] Food delivery suggestions and auto-ordering

[0245] Once the user approves the proposed schedule, the server generates food delivery suggestions. It suggests meals that match the user's preferences and automatically places the order once the user confirms. For example, if the user has free time in their schedule, it will suggest meals they might like based on their past history and notify their smartphone of the suggestions.

[0246] Example

[0247] For example, if a user with free weekend plans has recently frequently searched for "pasta dishes," the system will detect this and generate a schedule suggesting a pasta set for lunch next Saturday. If the user approves this suggestion, food delivery will be automatically ordered at the specified time.

[0248] Example prompts for generative AI models

[0249] "Generate the following food delivery suggestions. The user's preferences are sushi and soup, and data collection indicates that there is availability for lunch today. Please provide the best suggestions."

[0250] In this way, the server automatically optimizes the user's private time and meals, allowing them to live a more efficient and fulfilling life.

[0251] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[0252] Step 1:

[0253] The user's device collects calendar information, browsing history, email, and chat data. Specifically, it obtains the user's schedule from the smartphone's calendar app and extracts information about visited websites from the internet browser history. It also collects related data from email and chat applications. The input is various data stored on the user's device, and the output is a data package sent to the server.

[0254] Step 2:

[0255] The server receives and analyzes data sent from the user's device. The received data includes the user's calendar information, browsing history, email content, and chat content. The server uses this data to update the user profile. For example, it can analyze the user's interests from search history over a certain period of time and reflect this in the profile. The input is a set of data sent from the user's device, and the output is an updated user profile.

[0256] Step 3:

[0257] The server automatically generates optimal private schedule proposals based on the updated user profile. Schedule proposals are created taking into account past behavioral patterns and preferences, current trends, seasonal factors, and more. A generative AI model is then used to predict future behavioral patterns from past data. The input is the latest user profile, and the output is the generated private schedule proposal.

[0258] Step 4:

[0259] The server sends the generated private schedule proposal to the user's terminal. The user's terminal notifies the user of the received schedule proposal and asks for confirmation and approval of the contents. The input is the schedule proposal sent from the server, and the output is the notification to the user's terminal.

[0260] Step 5:

[0261] The user checks and approves the proposed schedule on the terminal. When the user presses the approval button, the confirmation information is sent to the server. The input is the user's confirmation operation, and the output is the approval information.

[0262] Step 6:

[0263] The server automatically executes reservations over the Internet based on the user's approval. For example, it orders food delivery based on available times. This process uses the APIs of reservation systems and delivery services. The input is the user's approval information, and the output is the processed reservation information.

[0264] Step 7:

[0265] The server notifies the user of the confirmed schedule and reservation details. The user terminal receives this information and notifies the user. The input is the confirmed schedule and reservation information, and the output is the notification to the user.

[0266] Step 8:

[0267] The server sends a reminder to the user when the cancellation deadline is approaching. If the user does not confirm by the deadline, the server automatically cancels the reservation. This process involves another confirmation process with the user interface. The input is information about the cancellation deadline, and the output is the reminder notification and cancellation process.

[0268] These steps will enable efficient schedule management and meal suggestions and offerings that fit the user's lifestyle.

[0269] 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.

[0270] The private life enrichment support system of the present invention is a system that supports users in spending quality private time even in the midst of a busy lifestyle. Specific embodiments of the system are described below.

[0271] System Configuration

[0272] This system consists of three main components: a user device, a server, and an emotion engine. The user device is a smartphone, tablet, or PC, and functions as the interface with the user. The server is a central computer system that analyzes data, generates schedules, and manages reservations. The emotion engine recognizes and analyzes user emotions and reflects the results throughout the system.

[0273] Main features

[0274] 1. Data Collection:

[0275] The user's device collects calendar information, browsing history, email, and chat data. Schedule information is obtained from the calendar application, and keywords of interest are extracted from the web browser's browsing history. The user's communication content from email and chat applications is also analyzed to extract information about their interests and schedules.

[0276] 2. Profile Update:

[0277] The server receives data sent from the user's device and updates the user profile based on the user's behavioral patterns and preferences. It also reflects emotional information received from the emotion engine.

[0278] 3. Emotion recognition:

[0279] The emotion engine analyzes the user's emotions through voice, text, facial recognition, etc. The analyzed emotion information is sent to the server and added to the user profile.

[0280] 4. Schedule generation:

[0281] The server automatically generates a private schedule that is optimal for the user based on the updated user profile. This also takes into account emotional information, providing a schedule that corresponds to the user's emotional state, for example by suggesting relaxation activities if the user is feeling stressed.

[0282] 5. Schedule Notification and Confirmation:

[0283] The user terminal receives the proposed schedule from the server and notifies the user, who then checks the proposed schedule and selects whether to approve or modify it.

[0284] 6. Making a reservation:

[0285] With the user's approval, the server automatically makes the necessary reservations over the Internet, such as reserving accommodation or purchasing event tickets. If the reservation is successful, the reservation information is sent to the user's device.

[0286] 7. Notifications and Reminders:

[0287] The user device will notify the user of the confirmed schedule and reservation details, and will also notify the user as a reminder when the cancellation deadline approaches.

[0288] 8. Automatic Cancellation:

[0289] Information is sent from the user's terminal to the server, and reservations that the user did not confirm by the deadline are automatically canceled. The user is notified that the cancellation has been completed.

[0290] Specific examples

[0291] For example, suppose a user is interested in "hot spring trips." The user's device retrieves the information "No plans for next weekend" from the calendar and detects keywords such as "hot springs" and "trips" from the web browser search history. Meanwhile, the emotion engine analyzes emotions such as "tiredness" and "stress" from the user's recent chat history and voice input.

[0292] Based on this information, the server updates the user's profile to indicate that "the user is interested in hot spring trips and needs relaxation," and suggests a "hot spring trip schedule for next weekend." The user's device notifies the user of this proposed schedule, and when the user presses the approval button, the information is sent to the server, and the hot spring inn reservation is automatically made. The user is then notified of the confirmed reservation details and schedule. When the cancellation deadline approaches, the user is sent a reminder, and if they do not confirm within the deadline, the server automatically cancels the reservation.

[0293] In this way, the system of the present invention allows users to efficiently enjoy their optimal private time without having to go through complicated procedures. Furthermore, by combining it with an emotion engine, it is possible to provide a more personalized experience according to the user's emotional state.

[0294] The processing flow will be explained below.

[0295] Step 1:

[0296] The user terminal acquires calendar information, which includes an operation of accessing a calendar application and collecting information on appointments and free time entered by the user.

[0297] Step 2:

[0298] The user terminal acquires the browsing history of the web browser, which includes an operation of analyzing the search history for specific keywords (e.g., hot springs, travel).

[0299] Step 3:

[0300] The user terminal acquires email and chat data, which includes analyzing the contents of received emails and chat messages and extracting schedules and interests.

[0301] Step 4:

[0302] The emotion engine analyzes user emotions based on user voice, text, and facial recognition data, including using emotion analysis algorithms to identify a user's emotional state (e.g., joy, stress, fatigue).

[0303] Step 5:

[0304] The user device integrates all the data collected and analyzed in steps 1 to 4 into a single dataset and sends it to the server. This dataset includes calendar information, browsing history, email content, chat messages, and emotional information.

[0305] Step 6:

[0306] The server receives data sent from the user's device, and collects information that reveals the user's behavioral patterns, preferences, and emotional state.

[0307] Step 7:

[0308] The server analyzes the received data and updates the user profile. Specifically, it uses machine learning and sentiment analysis algorithms to learn the user's interests, tendencies, and emotional state, and updates the profile accordingly.

[0309] Step 8:

[0310] The server automatically generates a private schedule that is optimal for the user based on the updated user profile. This also takes into account emotional information, providing a schedule that corresponds to the user's emotional state, for example by suggesting relaxation activities if the user is feeling stressed.

[0311] Step 9:

[0312] The server transmits the generated schedule proposal to the user terminal, allowing the user to check the proposed schedule proposal.

[0313] Step 10:

[0314] The user terminal receives the proposed schedule from the server and notifies the user, who then checks the proposed schedule and selects whether to approve or modify it.

[0315] Step 11:

[0316] When the user approves the proposed schedule, the information is sent from the user's device to the server, which triggers the server to start the next processing step.

[0317] Step 12:

[0318] With the user's approval, the server automatically makes the necessary reservations over the Internet, such as reserving accommodation or purchasing tickets to an event.

[0319] Step 13:

[0320] If the reservation is successful, the server sends the details to the user's terminal, allowing the user to check the reservation details.

[0321] Step 14:

[0322] The user terminal notifies the user of the confirmed schedule and reservation details. The user is informed that the schedule has been confirmed and the specific reservation contents.

[0323] Step 15:

[0324] When the cancellation deadline approaches, the user terminal will send a reminder to the user, urging the user to confirm or cancel the reservation within the deadline.

[0325] Step 16:

[0326] If the user does not confirm or take any action after the cancellation deadline has passed, that information is sent from the user terminal to the server.

[0327] Step 17:

[0328] The server automatically cancels the reservation. The user's terminal is notified that the cancellation has been completed, and the user is also notified of the cancellation.

[0329] Through these steps, the system of the present invention allows users to enjoy quality private time while saving time. By combining it with an emotion engine, it is possible to provide a more personalized experience according to the user's emotional state.

[0330] Example 2

[0331] 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."

[0332] In today's society, it is difficult for users to find quality private time amid their busy lifestyles. In particular, tasks such as schedule management and booking reservations can be time-consuming and can increase users' stress. Creating a personalized schedule that takes into account users' emotional state is also a challenge.

[0333] 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.

[0334] In this invention, the server includes means for collecting calendar information, browsing history, email and chat data from the user terminal, means for transmitting the collected data to the server and updating the user profile, means for analyzing the user's emotional state using an emotion engine, means for the server to automatically generate an optimal private schedule proposal based on the user profile and emotional information, means for transmitting the generated schedule proposal to the user terminal and requesting the user's confirmation and approval, means for automatically making a reservation over the Internet based on the user's approval, means for notifying the user of the confirmed schedule and reservation details, and means for sending a reminder to the user when the cancellation deadline is approaching and automatically canceling the reservation as necessary. This enables the user to efficiently enjoy optimal private time according to their emotional state without going through complicated procedures.

[0335] "User terminal" refers to a device used by a user, such as a smartphone, tablet, or PC, and is an interface device that has means for collecting calendar information, browsing history, email, and chat data.

[0336] A "server" is a central computer system that analyzes data, updates profiles, generates schedules, and manages reservations, and processes data sent from user terminals to provide various services.

[0337] An "emotion engine" refers to a device or software that analyzes a user's emotions through voice, text, facial recognition, etc., and sends the results to a server.

[0338] A "user profile" is a collection of data that reflects a user's behavioral patterns, preferences, and emotional state, and is information that the server uses to generate an optimal schedule.

[0339] "Schedule proposal" refers to the proposed private schedule automatically generated by the server based on the user profile and emotional information.

[0340] "Reservation" refers to the procedure for various services (e.g., reserving accommodation, purchasing event tickets, etc.) carried out over the Internet based on the user's authorization.

[0341] "Reminders" are notifications sent to users when the cancellation deadline approaches, helping them to remember important tasks and schedules.

[0342] The private life enrichment support system of the present invention is a system that supports users in spending quality private time even in the midst of a busy lifestyle. This system consists of three main components: a user terminal, a server, and an emotion engine.

[0343] System Configuration

[0344] 1. User Device:

[0345] The user device is a smartphone, tablet, or PC that acts as an interface with the user. The user device collects calendar information, browsing history, email, and chat data and sends it to the server using a variety of technologies, including Android's Calendar API, iOS's EventKit, Chrome's History API, Gmail API, Microsoft Graph API, LINE's Message API, and Slack API.

[0346] 2. Server:

[0347] The server is a central computer system that analyzes data, generates schedules, and manages reservations. The server updates user profiles based on data sent from user devices. It also reflects emotional information received from the emotion engine in the profiles. Python's pandas and scikit-learn are used for data analysis, and scikit-learn and TensorFlow are used for machine learning algorithms.

[0348] 3. Emotion Engine:

[0349] The emotion engine analyzes the user's voice, text, and facial recognition. It uses Google Cloud Speech-to-Text API and Amazon Transcribe for voice analysis, NLTK and Spacy for text analysis, and OpenCV and AWS Rekognition for facial recognition, and sends the analyzed emotion information to the server.

[0350] System Operation Overview

[0351] User device: The user device collects information such as calendar information, browsing history, emails, and chat data, and sends this data to the server.

[0352] Server: The server analyzes the data received from the user device and updates the user profile. It also reflects emotional information from the emotion engine in the profile. It then automatically generates an optimal private schedule proposal based on the profile and emotional information and sends it to the user device.

[0353] Emotion Engine: The emotion engine analyzes the user's emotions through voice, text, and facial recognition, and sends the results to the server.

[0354] Specific examples

[0355] For example, suppose a user is interested in "hot spring trips." The user's device retrieves the information "No plans for next weekend" from the calendar and detects keywords such as "hot springs" and "travel" from the web browser search history. The device also extracts the user's interests from email content and chat data. Meanwhile, the emotion engine analyzes the user's emotional state, such as "tiredness" or "stress," from the user's recent chat history and voice input.

[0356] Based on this information, the server updates the user profile, determining that "the user is interested in hot spring trips and needs relaxation," and proposes a "hot spring trip schedule for next weekend." The user's device notifies the user of this proposed schedule, and when the user presses the approval button, the information is sent to the server, and the hot spring inn reservation is automatically made. The user is then notified of the confirmed reservation details and schedule. In addition, as the cancellation deadline approaches, the user is sent a reminder, and if the reservation is not confirmed within the deadline, the server automatically cancels the reservation.

[0357] Prompt Sentence Examples

[0358] "Plan a trip to the hot springs next weekend."

[0359] "I'm feeling stressed. Please suggest a relaxation schedule."

[0360] "Suggest a relaxing activity for Saturday afternoon."

[0361] In this way, the system of the present invention efficiently provides optimal private time without requiring the user's effort, and provides a personalized experience that corresponds to the user's emotional state.

[0362] The flow of the identification process in the second embodiment will be described with reference to FIG.

[0363] Step 1:

[0364] Data collection

[0365] The user terminal collects calendar information, browsing history, email and chat data.

[0366] Input: Calendar information, browsing history, emails, and chat data stored on the user's device.

[0367] Data processing: Data is acquired using the Android Calendar API, iOS EventKit, Chrome History API, Gmail API, Microsoft Graph API, LINE Message API, and Slack API.

[0368] Output: The collected data is sent to a server for analysis.

[0369] Specific operation: The user device retrieves information about a "dentist appointment on Saturday at 2 PM" from Google Calendar, detects keywords related to "planning a trip to Rome" from the web browser history, and receives an email containing information such as "a class reunion will be held at a nearby restaurant next week."

[0370] Step 2:

[0371] Profile Update

[0372] The server receives the data sent from the user terminal and updates the user profile based on the user's behavioral patterns and preferences.

[0373] Input: Calendar information, browsing history, email, and chat data sent from the user's device.

[0374] Data processing: Analyze data using Python's pandas and scikit-learn and update user profiles.

[0375] Output: Updated user profile.

[0376] What it does: The server parses the events retrieved from Google Calendar and adds meetings with colleagues and events with family to the user's profile.

[0377] Step 3:

[0378] emotion recognition

[0379] The emotion engine analyzes the user's emotions through voice, text, and facial recognition and sends the results to the server.

[0380] Input: User voice data, text data, and facial recognition data.

[0381] Data processing: Sentiment analysis using Google Cloud Speech-to-Text API, Amazon Transcribe, NLTK, Spacy, OpenCV, and AWS Rekognition.

[0382] Output: Parsed emotion information.

[0383] Specific operation: The emotion engine identifies the emotion "tired" from the user's voice call data and analyzes the chat content as "stressed."

[0384] Step 4:

[0385] Schedule Generation

[0386] The server automatically generates optimal private schedule proposals based on the updated user profile.

[0387] Input: Updated user profile and sentiment information.

[0388] Data processing: Use AI algorithms and machine learning libraries (scikit-learn, TensorFlow) to generate optimal schedules.

[0389] Output: The generated schedule proposal.

[0390] Specific behavior: If the user is in a "high stress" situation, the server will add "Yoga class on Saturday at 2 PM" to the schedule and suggest it.

[0391] Step 5:

[0392] Schedule notifications and confirmations

[0393] The user terminal receives the proposed schedule sent from the server and notifies the user.

[0394] Input: Schedule proposal sent from the server.

[0395] Data processing: Notify the user using on-screen display, push notification, or email notification functions.

[0396] Output: Notification to the user.

[0397] Specific operation: The user's device sends a notification saying "There is a yoga class on Saturday at 2 PM" and asks the user to confirm. After that, when the user presses the "Approve" button, the information is sent to the server.

[0398] Step 6:

[0399] Making a reservation

[0400] The server automatically makes the necessary reservations over the Internet based on the user's approval.

[0401] Input: User authorization information and associated booking information.

[0402] Data processing: We use Booking.com API and Expedia API to book accommodations, and Ticketmaster API to purchase event tickets.

[0403] Output: Confirmed booking.

[0404] Specific behavior: Once the user approves the yoga class, the server accesses the yoga studio's booking system (API) and completes the booking.

[0405] Step 7:

[0406] Notifications and Reminders

[0407] The user device will notify the user of the confirmed schedule and reservation details, and will also notify the user as a reminder when the cancellation deadline is approaching.

[0408] Input: Confirmed schedule and booking information.

[0409] Data Processing: Notify users and send reminders using on-screen, push, and email notifications.

[0410] Output: Notifications and reminders to the user.

[0411] What it does: The user's device notifies them of the details of their yoga class and sends them a reminder one hour before the class starts.

[0412] Step 8:

[0413] Automatic Cancellation

[0414] The server automatically cancels any reservations that the user has not confirmed by the deadline and notifies the user of the result.

[0415] Input: Cancellation information from the reservation system and confirmation information of users who are on time.

[0416] Data processing: Use the reservation system's API as appropriate to automate reservation cancellation operations.

[0417] Output: Notification of cancellation.

[0418] Specific operation: If the cancellation deadline for a yoga class has passed, the server automatically cancels the reservation and notifies the user's device of the result.

[0419] (Application example 2)

[0420] 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."

[0421] Today's busy lifestyles make it difficult for users to spend quality private time efficiently. It is also difficult for users to efficiently find products that match their emotions and preferences when shopping. Furthermore, to improve the in-store shopping experience, there is a demand for real-time information provision and product suggestions based on user emotions.

[0422] The specific processing by the specific processing unit 290 of the data processing device 12 in Application Example 2 is realized by the following means. In this invention, the server includes: means for collecting calendar information, browsing history, email, and chat data from the user terminal; means for transmitting the collected data to the server and updating the user profile; means for the server to automatically generate an optimal private schedule proposal based on the user profile; means for transmitting the generated schedule proposal to the user terminal and requesting the user's confirmation and approval; means for automatically making a reservation over the Internet based on the user's approval; means for notifying the user of the confirmed schedule and reservation details; means for sending a reminder to the user when the cancellation deadline is approaching and automatically canceling the reservation as necessary; means for analyzing the user's emotions using voice, text, and facial recognition and suggesting products based on the emotion information; and means for providing recommendation information and discount information in real time when the user enters a physical store. This allows users to spend quality private time even with their busy lifestyles, and significantly improves the shopping experience by receiving personalized product proposals and real-time information based on the user's emotions.

[0423] "User terminal" refers to a device used by a user, such as a smartphone, tablet, or PC.

[0424] "Calendar information" is information obtained from a calendar application that records a user's schedule and appointments.

[0425] "Browsing history" refers to data on the web pages and search history that a user has viewed on the Internet.

[0426] "Email" refers to the content and metadata of emails sent or received by a User.

[0427] "Chat data" refers to the content of communications on messaging applications and social media used by users.

[0428] A "server" is a computer system that analyzes data sent from user terminals, updates user profiles, and performs other processing.

[0429] A "user profile" is a data set that compiles information such as a user's behavioral patterns, interests, and emotional state.

[0430] "Emotion recognition" is a technology that analyzes a user's emotions through voice, text, facial recognition, etc.

[0431] "Schedule proposals" are suggestions for schedules and events that are optimal for a user, generated by the server based on the user profile.

[0432] "Real-time notifications" is a feature that provides instant information when a user enters a physical store.

[0433] "Recommended information" is information about products and services suggested based on the user's emotions and profile.

[0434] A system for implementing the present invention comprises the following major components:

[0435] 1. User Device:

[0436] A user terminal is a device such as a smartphone, tablet, or PC. These devices act as an interface that collects the user's calendar information, browsing history, email, and chat data and transmits that data to the server. They also act as an interface with the user, displaying schedule suggestions and notifications sent from the server.

[0437] 2. Server:

[0438] The server is a central computer system that analyzes data sent from user devices and updates user profiles. Based on the user profile, it automatically generates optimal private schedule proposals. Furthermore, it automatically executes reservations over the Internet based on the user's approval and notifies the user device of the confirmed schedule and reservation details.

[0439] 3. Emotion Engine:

[0440] The emotion engine analyzes the user's emotions through voice, text, and facial recognition, and sends the emotional information to a server. The emotional information is added to the user profile and is used to create personalized schedules and product recommendations.

[0441] 4. Real-time notification system:

[0442] When a user enters a physical store, the server sends real-time recommendation and discount information to the user's device, allowing the user to receive the most suitable product information and special offers on the spot.

[0443] Hardware and software used

[0444] Hardware:

[0445] Camera (to capture the user's face and recognize emotions)

[0446] Smartphones and smart glasses (user interfaces)

[0447] software:

[0448] OpenCV (a library for face recognition and image processing)

[0449] Requests (a library for communicating with the server)

[0450] Machine learning algorithms (user profile generation and automatic schedule generation)

[0451] Specific examples

[0452] For example, if a user has no plans for the next weekend, the user's device sends that information to the server. The emotion engine then analyzes the user's emotional information, such as their recent stress levels, and the server suggests a "hot spring trip." The user is notified of this suggestion, and when the user presses the "approval" button, the server automatically makes a reservation for the hot spring resort. If the reservation is successful, the information is sent to the user's device. Furthermore, when the user enters a shopping mall, discount information and recommended product information are displayed in real time on the user's device.

[0453] Prompt Sentence Examples

[0454] "Create a system that makes shopping suggestions based on emotion information to help users find the best private time for themselves despite their busy schedules. Recognize users' emotions and provide product suggestions and store information in real time based on that information."

[0455] In this way, the system of the present invention allows users to spend quality private time while eliminating cumbersome procedures, and also realizes personalized product proposals that take emotional information into consideration and the provision of information in real time.

[0456] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[0457] Step 1:

[0458] The user device collects calendar information, browsing history, email, and chat data. Specifically, data is obtained from the device's calendar application, browser history, email application, and chat application, and then preprocessed to extract a valid dataset and send it to the server. The input is the raw data from each application, and the output is the preprocessed data.

[0459] Step 2:

[0460] The server updates the user profile based on the received data. This profile includes the user's behavioral patterns, interests, schedule, etc., and updates each item in the profile using the data sent in the previous step. The input is the preprocessed data, and the output is the updated user profile.

[0461] Step 3:

[0462] The emotion engine analyzes emotional data such as the user's voice, text, and facial images. The emotion engine acquires voice and facial images from the user's device and uses an emotion recognition algorithm to determine the user's emotional state. The results are sent to the server. The input is voice data and facial images, and the output is data indicating the user's emotional state.

[0463] Step 4:

[0464] The server automatically generates optimal private schedule proposals based on the user profile and emotional data. Using a generative AI model, the server inputs the user profile and emotional information and proposes the optimal schedule for the user. The input is the updated user profile and emotional data, and the output is the generated schedule proposal.

[0465] Step 5:

[0466] The server sends the generated schedule proposal to the user's terminal and asks the user to confirm and approve it. Specifically, it displays a notification of the schedule proposal on the terminal, allowing the user to confirm it and send instructions for approval or modification. The input is the generated schedule proposal, and the output is the user's response.

[0467] Step 6:

[0468] Based on the user's approval, the server automatically makes the necessary reservations over the Internet. For example, it makes online reservations for accommodation or event tickets and sends the results to the user's device. The input is the schedule plan approved by the user, and the output is reservation confirmation information.

[0469] Step 7:

[0470] When a user enters a physical store, the server sends recommendation and discount information to the user's device in real time. Specifically, it uses the store's location information and in-store sensor information to detect that the user is inside the store and immediately notifies the user of relevant information. The input is the user's location information, and the output is real-time recommendation and discount information.

[0471] Step 8:

[0472] The server notifies the user's device of the confirmed schedule and reservation details, and sends a reminder when the cancellation deadline approaches. Furthermore, if the user does not respond by the deadline, the reservation is automatically canceled. The input is the confirmed schedule, reservation details, and the user's response, and the output is a reminder or cancellation confirmation.

[0473] 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.

[0474] 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.

[0475] 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.

[0476] [Second embodiment]

[0477] FIG. 3 shows an example of the configuration of a data processing system 210 according to the second embodiment.

[0478] 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.

[0479] 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).

[0480] 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.

[0481] 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.

[0482] 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).

[0483] 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.

[0484] 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.

[0485] 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.

[0486] 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.

[0487] 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.

[0488] 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."

[0489] The private life enrichment support system of the present invention is a system that supports users in spending quality private time even in the midst of a busy lifestyle. Specific embodiments of the system are described below.

[0490] System Configuration

[0491] This system consists of two main components: a user device and a server. The user device can be a smartphone, tablet, or PC and acts as the interface with the user. The server is the central computer system that analyzes data, generates schedules, and manages reservations.

[0492] Main features

[0493] 1. Data Collection:

[0494] The user's device collects calendar information, browsing history, email, and chat data. This involves obtaining schedule information from calendar applications, extracting keywords of interest from web browser browsing history, and analyzing the user's communication content from email and chat apps to extract interests and schedules.

[0495] 2. Profile Update:

[0496] The server receives the data sent from the user's device and updates the user profile based on the user's behavioral patterns and preferences, preparing to propose a personalized schedule.

[0497] 3. Schedule generation:

[0498] The server automatically generates optimal private schedule suggestions based on the updated user profile. Specifically, it plans trips and event options taking into account past behavioral patterns, current trends, and seasonal factors. The generated schedule suggestions are adjusted to match the user's hobbies and tendencies.

[0499] 4. Schedule Notification and Confirmation:

[0500] The user terminal receives the proposed schedule from the server and notifies the user, who then checks and approves the proposed schedule.

[0501] 5. Making a reservation:

[0502] With the user's approval, the server automatically makes the necessary reservations over the Internet, including reserving accommodations and purchasing event tickets. If the reservation is successful, the server notifies the user's device of the reservation information.

[0503] 6. Notifications and Reminders:

[0504] The user device will notify the user of the confirmed schedule and reservation details, and will also notify the user as a reminder when the cancellation deadline approaches.

[0505] 7. Automatic Cancellation:

[0506] Information is sent from the user's terminal to the server, and reservations that the user has not confirmed by the deadline are automatically canceled, preventing unnecessary reservation fees from being incurred.

[0507] Specific examples

[0508] For example, suppose a user is interested in "hot spring trips." The user's device retrieves the information "No plans for next weekend" from the calendar and detects keywords such as "hot springs" and "trips" from the search history of the web browser.

[0509] Based on this information, the server updates the user's profile to indicate that "the user is interested in hot spring trips" and proposes a "hot spring trip schedule for the following weekend." The user's device notifies the user of this proposed schedule, and when the user presses the approval button, the information is sent to the server, and the hot spring inn reservation is automatically made. The user is then notified of the confirmed reservation details and schedule. When the cancellation deadline approaches, the user is sent a reminder, and if they do not confirm within the deadline, the server automatically cancels the reservation.

[0510] In this way, the system of the present invention allows users to efficiently enjoy optimal private time without having to go through complicated procedures themselves.

[0511] The processing flow will be explained below.

[0512] Step 1:

[0513] The user terminal acquires calendar information, which includes an operation of accessing a calendar application and collecting information on appointments and free time entered by the user.

[0514] Step 2:

[0515] The user terminal acquires the browsing history of the web browser, which includes an operation of analyzing the search history for specific keywords (e.g., hot springs, travel).

[0516] Step 3:

[0517] The user terminal acquires email and chat data, which includes analyzing the contents of received emails and chat messages and extracting schedules and interests.

[0518] Step 4:

[0519] The user device consolidates all collected data into a single data set and sends it to the server, including calendar information, browsing history, email content, and chat messages.

[0520] Step 5:

[0521] The server receives data sent from the user's device, and collects information that reveals the user's behavioral patterns and preferences.

[0522] Step 6:

[0523] The server analyzes the received data and updates the user profile by using machine learning algorithms to learn the user's interests and tendencies and reflect the results in the profile.

[0524] Step 7:

[0525] The server automatically generates optimal private schedule proposals for each user based on the updated user profile, including planning that takes into account past behavioral patterns, current trends, and seasonal factors.

[0526] Step 8:

[0527] The server transmits the generated schedule proposal to the user terminal, allowing the user to check the proposed schedule proposal.

[0528] Step 9:

[0529] The user terminal receives the proposed schedule from the server and notifies the user, who then checks the proposed schedule and selects whether to approve or modify it.

[0530] Step 10:

[0531] When the user approves the proposed schedule, the information is sent from the user's device to the server, which triggers the server to start the next processing step.

[0532] Step 11:

[0533] With the user's approval, the server automatically makes the necessary reservations over the Internet, such as reserving accommodation or purchasing tickets to an event.

[0534] Step 12:

[0535] If the reservation is successful, the server sends the details to the user's terminal, allowing the user to check the reservation details.

[0536] Step 13:

[0537] The user terminal notifies the user of the confirmed schedule and reservation details. The user is informed that the schedule has been confirmed and the specific reservation contents.

[0538] Step 14:

[0539] When the cancellation deadline approaches, the user terminal will send a reminder to the user, urging the user to confirm or cancel the reservation within the deadline.

[0540] Step 15:

[0541] If the user does not confirm or take any action after the cancellation deadline has passed, that information is sent from the user terminal to the server.

[0542] Step 16:

[0543] The server automatically cancels the reservation. The user's terminal is notified that the cancellation has been completed, and the user is also notified of the cancellation.

[0544] Through these steps, the system of the present invention allows users to enjoy quality private time while saving time and effort.

[0545] Example 1

[0546] 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."

[0547] Today's busy lifestyles make it difficult and cumbersome for users to plan and book activities that allow them to spend quality time. Manual scheduling and booking procedures, in particular, are extremely time-consuming and laborious, placing a significant burden on users. Furthermore, while it is necessary to accurately understand users' past behavioral patterns and current interests in order to propose plans that match their interests and preferences, there is currently a lack of effective methods for achieving this.

[0548] 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.

[0549] In this invention, the server includes means for collecting schedule management information, web history, email, and communication application data from the user terminal, means for transmitting the collected data to the server and updating the user profile, means for the server to automatically generate an optimal personalized schedule proposal based on the user profile, means for transmitting the generated schedule proposal to the user terminal and requesting the user's confirmation and approval, means for automatically executing the reservation over the network based on the user's approval, means for notifying the user of the confirmed schedule and reservation details, and means for sending a reminder to the user when the cancellation deadline is approaching and automatically canceling the reservation as necessary. This allows users to efficiently enjoy high-quality private time without going through complicated procedures.

[0550] "User terminal" means an electronic device used by a user, including a smartphone, tablet, or personal computer.

[0551] "Date management information" refers to schedule and appointment information stored in a user's calendar or schedule management application.

[0552] "Web history" refers to the record of websites and search queries a user has visited through their internet browser.

[0553] "Email" refers to the content of communication messages sent or received by a User through the Email Service, as well as their metadata.

[0554] "Communications application" refers to a software application that enables text chat, voice, or video calls between users, including, for example, messaging apps and social networking apps.

[0555] "Server" refers to the central computer system that analyzes data, updates profiles, generates schedules and manages reservations.

[0556] "User Profile" refers to a database entry created based on a user's behavioral patterns and preferences.

[0557] "Personalized schedule suggestions" refers to private activity plans suggested based on the user's hobbies, interests, and past behavioral data.

[0558] "Network" refers to a communications infrastructure that allows computers and other devices to share information.

[0559] A "reminder" is a notification or alert that prompts the user to take a specific action.

[0560] A "generative AI model" refers to an artificial intelligence algorithm that analyzes user data and makes predictions and suggestions.

[0561] The system of this invention is a support system for efficiently enriching users' private time. Its specific configuration consists of two main components: a user terminal and a server. The user terminal is a smartphone, tablet, or PC, and functions as an interface with the user. The server is a central computer system that performs data analysis, profile updates, schedule generation, and reservation management.

[0562] Data collection implementation:

[0563] The user's device collects the user's schedule information, web history, email, and communication application data. Specifically, for example, it retrieves calendar information using the Google Calendar API, analyzes search history using a Chrome extension, and also analyzes the Gmail IMAP API and message content from communication applications.

[0564] Profile update implementation:

[0565] The server receives data in JSON format sent from the user device via the HTTPS protocol, then analyzes the data using Python's Pandas library and updates the user profile based on the user's behavioral patterns and preferences.

[0566] Schedule generation embodiment:

[0567] The server automatically generates optimal personalized schedule suggestions using a generative AI model (e.g., GPT-3) based on the updated user profile. The AI ​​creates suggestions by inputting a prompt sentence into the generative AI model: "Please suggest plans for next weekend. My recent browser history includes 'hot springs' and 'travel.'"

[0568] Schedule notification and confirmation implementation:

[0569] The server sends the generated schedule proposal in JSON format to the user's device, which then notifies the user via mobile push notification or in-app notification and displays an "Approve" button on the app's UI, allowing the user to review and approve the schedule proposal.

[0570] Reservation form:

[0571] When the user presses the approval button, the information is sent to the server. The server then calls the API of the travel site or facility reservation system to make the reservation for the specified dates. If the reservation is successful, the information is sent back to the user's device in JSON format.

[0572] Notification and reminder implementation examples:

[0573] The user's device will notify them of the confirmed schedule and reservation details via push notification, and will also use the timer function in the calendar app to send reminders when the cancellation deadline approaches.

[0574] Implementation of automatic cancellation:

[0575] The server checks the cancellation deadline, and if the user does not confirm by the deadline, it calls the reservation system's API to automatically process the cancellation.

[0576] This system allows users to easily find the best plan based on their interests and schedule, eliminating complicated procedures and allowing them to enjoy relaxing private time efficiently.

[0577] The flow of the identification process in the first embodiment will be described with reference to FIG.

[0578] Step 1:

[0579] The user terminal acquires the calendar information.

[0580] Specific operation: The user device uses the Google Calendar API to obtain the user's schedule information.

[0581] Input: Google Calendar API credentials.

[0582] Output: Current user's schedule information in JSON format.

[0583] The calendar information includes the user's schedule and free time, and is used for planning purposes in subsequent processes.

[0584] Step 2:

[0585] The user terminal acquires the web history.

[0586] What it does: It uses a Chrome extension to analyze the search history from the past week and extract keywords such as "hot springs" and "travel."

[0587] Input: Web browser history data.

[0588] Output: A list of keywords that indicate user interest.

[0589] Keywords extracted from web history are used for subsequent planning as information reflecting the user's current interests.

[0590] Step 3:

[0591] The user terminal analyzes the messages in the email and communication applications.

[0592] What it does: It uses Gmail's IMAP API to analyze the subject and body of incoming emails and extract specific keywords, as well as chat messages from communication applications.

[0593] Input: Message content for email and communication applications.

[0594] Output: A list of keywords related to the user's interests and agenda.

[0595] Data extracted from emails and message content provides valuable information that reflects users' lifestyles and interests.

[0596] Step 4:

[0597] The server receives and analyzes the collected data.

[0598] Specific operation: Receives data sent from the user terminal via HTTPS in JSON format, then uses Python's Pandas library to store the data in a data frame and analyze it.

[0599] Input: Calendar information, web history, email, and data from communication applications.

[0600] Output: A user profile based on user behavior patterns and preferences.

[0601] By analyzing the collected data, we understand user trends and interests and update their profiles.

[0602] Step 5:

[0603] The server generates an optimal personalized schedule proposal.

[0604] Specific operation: Based on the updated user profile, a prompt sentence is input into a generative AI model (e.g., GPT-3), and the AI ​​generates a proposed schedule.

[0605] Input: User profile, prompt (e.g. "Please suggest something for next weekend. My recent browser history includes 'hot springs' and 'travel'.").

[0606] Output: Optimal personalized schedule proposal.

[0607] The generated schedule proposals are adjusted to match the user's tastes and preferences.

[0608] Step 6:

[0609] The server transmits the generated schedule proposal to the user terminal.

[0610] Specific operation: The generated schedule proposal is sent to the user's device in JSON format.

[0611] Input: Optimal personalized schedule suggestions.

[0612] Output: The proposed schedule sent to the user.

[0613] The user terminal receives this information and notifies the user.

[0614] Step 7:

[0615] The user terminal notifies the user of the proposed schedule and requests approval.

[0616] What it does: Inform users of the new schedule proposal via mobile push notifications and in-app notifications. Show an "Approve" button in the app UI.

[0617] Input: Schedule proposal sent from the server.

[0618] Output: The proposed schedule notified to the user.

[0619] Users can review and approve the proposed schedule.

[0620] Step 8:

[0621] The user reviews and approves the proposed schedule.

[0622] Specific behavior: Operate the "Approve" button on the application's UI.

[0623] Input: User decision.

[0624] Output: The approval result is sent to the server.

[0625] The approved information is passed to the server and the next step is taken.

[0626] Step 9:

[0627] The server receives the user's approval and executes the reservation.

[0628] Specific operation: Calls the API of a travel site or facility reservation system and makes a reservation for the specified dates.

[0629] Input: User approval information, proposed schedule.

[0630] Output: Booking completion information.

[0631] If the reservation is successful, the information will be notified to the user in the next step.

[0632] Step 10:

[0633] The server sends the reservation details to the user terminal.

[0634] Specific operation: Sends reservation details in JSON format to the user's device.

[0635] Input: Booking completion information.

[0636] Output: Booking details sent to the user.

[0637] Users can check the reservation details.

[0638] Step 11:

[0639] The user terminal notifies the user of the reservation details and schedule.

[0640] Specific behavior: Send a push notification to the user to inform them of the reservation details.

[0641] Input: Booking details.

[0642] Output: Booking details and schedule notified to user.

[0643] The user will receive a notification to confirm.

[0644] Step 12:

[0645] The user terminal sends a reminder when the cancellation deadline approaches.

[0646] What it does: Uses the timer feature in your calendar app to send you a reminder when the cancellation deadline approaches.

[0647] Input: Reservation details, cancellation deadline.

[0648] Output: Reminder notification.

[0649] A reminder is set for the user to take note of.

[0650] Step 13:

[0651] The server will automatically cancel any reservations that the user does not confirm in time.

[0652] Specific operation: Checks the cancellation deadline, and if the deadline has passed, calls the reservation system's API to process the cancellation.

[0653] Input: Cancellation deadline information.

[0654] Output: Reservation cancellation notice.

[0655] Unnecessary reservations are automatically cancelled to prevent unnecessary costs.

[0656] (Application example 1)

[0657] 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."

[0658] For users who lead busy lifestyles, it is difficult to secure quality private time. Furthermore, meal preparation also requires time, making overall time management extremely cumbersome. The objective of this invention is to provide a system that allows users to efficiently manage their schedules and receive meal suggestions and offers tailored to their lifestyles.

[0659] 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.

[0660] In this invention, the server includes means for collecting calendar information, browsing history, email and chat data from the user terminal, means for sending the collected data to the server and updating the user profile, means for the server to automatically generate an optimal private schedule proposal based on the user profile, means for sending the generated schedule proposal to the user terminal and requesting the user's confirmation and approval, means for automatically making a reservation over the Internet based on the user's approval, means for notifying the user of the confirmed schedule and reservation details, means for sending a reminder to the user when the cancellation deadline is approaching and automatically canceling the reservation as necessary, and means for suggesting optimal food delivery based on the user's dietary preferences and schedule and automatically ordering. This allows users to spend quality private time without the hassle of time management and meals.

[0661] "User terminal" means a device that acts as an interface with a user and collects calendar information, browsing history, email and chat data.

[0662] "Calendar information" refers to schedule information including details of the user's plans and events.

[0663] "Browsing history" refers to the history of web pages a user has accessed on the Internet.

[0664] "Email" means an electronic message sent or received over the Internet.

[0665] "Chat Data" means messages exchanged between users through chat applications.

[0666] A "server" is a central computer system that analyzes data, generates schedules, and manages reservations.

[0667] "User profile" means profile information that reflects a user's behavioral patterns and preferences, generated based on collected data.

[0668] "Private schedule proposals" are automatically generated schedule suggestions tailored to the user's lifestyle.

[0669] The "Internet" is an international network system that connects networks around the world and enables the exchange of information.

[0670] "Reservation" means reserving a specific date, time, location, service, etc. in advance.

[0671] A "reminder" is a notification sent to the user to inform them of important events or deadlines.

[0672] "Food delivery" refers to a service that allows users to have meals delivered to a specific location and time.

[0673] The present invention is a system for supporting users in enriching their meals and private time, and is implemented using a user terminal and a server. A detailed description of the system is provided below.

[0674] Main functions and configuration

[0675] User Device

[0676] User devices can be smartphones, tablets or PCs. They act as an interface between the user and the system and collect data such as:

[0677] Calendar Information

[0678] Browsing history

[0679] Email

[0680] Chat Data

[0681] This collected data is sent to a server, where a personalized profile is created based on the user's real-time information.

[0682] server

[0683] The server plays a key role in analyzing data, updating user profiles, and automatically generating private schedule suggestions and food delivery suggestions. Specifically, it performs the following tasks:

[0684] 1. Data analysis and profile update: Analyze user behavior patterns based on the received data and update the profile.

[0685] 2. Schedule Generation: Generates an optimal private schedule based on the updated profile, taking into account past behavioral patterns, current trends, and seasonal factors.

[0686] 3. Food delivery suggestions: Taking into account the user's food preferences and schedule, we suggest the most suitable food delivery options.

[0687] Detailed processing

[0688] Data collection and profile updates

[0689] Data collected from the user's device is sent to a server, which uses it to update the user profile, for example by retrieving the user's schedule from their smartphone's calendar information and emails, or analyzing their food preferences from their browser history.

[0690] Schedule Generation and Notification

[0691] The server generates a private schedule proposal based on the updated profile, which is then sent to the user's device, where the user can review and approve the proposal, allowing the user to plan quality private time.

[0692] Food delivery suggestions and auto-ordering

[0693] Once the user approves the proposed schedule, the server generates food delivery suggestions. It suggests meals that match the user's preferences and automatically places the order once the user confirms. For example, if the user has free time in their schedule, it will suggest meals they might like based on their past history and notify their smartphone of the suggestions.

[0694] Example

[0695] For example, if a user with free weekend plans has recently frequently searched for "pasta dishes," the system will detect this and generate a schedule suggesting a pasta set for lunch next Saturday. If the user approves this suggestion, food delivery will be automatically ordered at the specified time.

[0696] Example prompts for generative AI models

[0697] "Generate the following food delivery suggestions. The user's preferences are sushi and soup, and data collection indicates that there is availability for lunch today. Please provide the best suggestions."

[0698] In this way, the server automatically optimizes the user's private time and meals, allowing them to live a more efficient and fulfilling life.

[0699] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[0700] Step 1:

[0701] The user's device collects calendar information, browsing history, email, and chat data. Specifically, it obtains the user's schedule from the smartphone's calendar app and extracts information about visited websites from the internet browser history. It also collects related data from email and chat applications. The input is various data stored on the user's device, and the output is a data package sent to the server.

[0702] Step 2:

[0703] The server receives and analyzes data sent from the user's device. The received data includes the user's calendar information, browsing history, email content, and chat content. The server uses this data to update the user profile. For example, it can analyze the user's interests from search history over a certain period of time and reflect this in the profile. The input is a set of data sent from the user's device, and the output is an updated user profile.

[0704] Step 3:

[0705] The server automatically generates optimal private schedule proposals based on the updated user profile. Schedule proposals are created taking into account past behavioral patterns and preferences, current trends, seasonal factors, and more. A generative AI model is then used to predict future behavioral patterns from past data. The input is the latest user profile, and the output is the generated private schedule proposal.

[0706] Step 4:

[0707] The server sends the generated private schedule proposal to the user's terminal. The user's terminal notifies the user of the received schedule proposal and asks for confirmation and approval of the contents. The input is the schedule proposal sent from the server, and the output is the notification to the user's terminal.

[0708] Step 5:

[0709] The user checks and approves the proposed schedule on the terminal. When the user presses the approval button, the confirmation information is sent to the server. The input is the user's confirmation operation, and the output is the approval information.

[0710] Step 6:

[0711] The server automatically executes reservations over the Internet based on the user's approval. For example, it orders food delivery based on available times. This process uses the APIs of reservation systems and delivery services. The input is the user's approval information, and the output is the processed reservation information.

[0712] Step 7:

[0713] The server notifies the user of the confirmed schedule and reservation details. The user terminal receives this information and notifies the user. The input is the confirmed schedule and reservation information, and the output is the notification to the user.

[0714] Step 8:

[0715] The server sends a reminder to the user when the cancellation deadline is approaching. If the user does not confirm by the deadline, the server automatically cancels the reservation. This process involves another confirmation process with the user interface. The input is information about the cancellation deadline, and the output is the reminder notification and cancellation process.

[0716] These steps will enable efficient schedule management and meal suggestions and offerings that fit the user's lifestyle.

[0717] 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.

[0718] The private life enrichment support system of the present invention is a system that supports users in spending quality private time even in the midst of a busy lifestyle. Specific embodiments of the system are described below.

[0719] System Configuration

[0720] This system consists of three main components: a user device, a server, and an emotion engine. The user device is a smartphone, tablet, or PC, and functions as the interface with the user. The server is a central computer system that analyzes data, generates schedules, and manages reservations. The emotion engine recognizes and analyzes user emotions and reflects the results throughout the system.

[0721] Main features

[0722] 1. Data Collection:

[0723] The user's device collects calendar information, browsing history, email, and chat data. Schedule information is obtained from the calendar application, and keywords of interest are extracted from the web browser's browsing history. The user's communication content from email and chat applications is also analyzed to extract information about their interests and schedules.

[0724] 2. Profile Update:

[0725] The server receives data sent from the user's device and updates the user profile based on the user's behavioral patterns and preferences. It also reflects emotional information received from the emotion engine.

[0726] 3. Emotion recognition:

[0727] The emotion engine analyzes the user's emotions through voice, text, facial recognition, etc. The analyzed emotion information is sent to the server and added to the user profile.

[0728] 4. Schedule generation:

[0729] The server automatically generates a private schedule that is optimal for the user based on the updated user profile. This also takes into account emotional information, providing a schedule that corresponds to the user's emotional state, for example by suggesting relaxation activities if the user is feeling stressed.

[0730] 5. Schedule Notification and Confirmation:

[0731] The user terminal receives the proposed schedule from the server and notifies the user, who then checks the proposed schedule and selects whether to approve or modify it.

[0732] 6. Making a reservation:

[0733] With the user's approval, the server automatically makes the necessary reservations over the Internet, such as reserving accommodation or purchasing event tickets. If the reservation is successful, the reservation information is sent to the user's device.

[0734] 7. Notifications and Reminders:

[0735] The user device will notify the user of the confirmed schedule and reservation details, and will also notify the user as a reminder when the cancellation deadline approaches.

[0736] 8. Automatic Cancellation:

[0737] Information is sent from the user's terminal to the server, and reservations that the user did not confirm by the deadline are automatically canceled. The user is notified that the cancellation has been completed.

[0738] Specific examples

[0739] For example, suppose a user is interested in "hot spring trips." The user's device retrieves the information "No plans for next weekend" from the calendar and detects keywords such as "hot springs" and "trips" from the web browser search history. Meanwhile, the emotion engine analyzes emotions such as "tiredness" and "stress" from the user's recent chat history and voice input.

[0740] Based on this information, the server updates the user's profile to indicate that "the user is interested in hot spring trips and needs relaxation," and suggests a "hot spring trip schedule for next weekend." The user's device notifies the user of this proposed schedule, and when the user presses the approval button, the information is sent to the server, and the hot spring inn reservation is automatically made. The user is then notified of the confirmed reservation details and schedule. When the cancellation deadline approaches, the user is sent a reminder, and if they do not confirm within the deadline, the server automatically cancels the reservation.

[0741] In this way, the system of the present invention allows users to efficiently enjoy their optimal private time without having to go through complicated procedures. Furthermore, by combining it with an emotion engine, it is possible to provide a more personalized experience according to the user's emotional state.

[0742] The processing flow will be explained below.

[0743] Step 1:

[0744] The user terminal acquires calendar information, which includes an operation of accessing a calendar application and collecting information on appointments and free time entered by the user.

[0745] Step 2:

[0746] The user terminal acquires the browsing history of the web browser, which includes an operation of analyzing the search history for specific keywords (e.g., hot springs, travel).

[0747] Step 3:

[0748] The user terminal acquires email and chat data, which includes analyzing the contents of received emails and chat messages and extracting schedules and interests.

[0749] Step 4:

[0750] The emotion engine analyzes user emotions based on user voice, text, and facial recognition data, including using emotion analysis algorithms to identify a user's emotional state (e.g., joy, stress, fatigue).

[0751] Step 5:

[0752] The user device integrates all the data collected and analyzed in steps 1 to 4 into a single dataset and sends it to the server. This dataset includes calendar information, browsing history, email content, chat messages, and emotional information.

[0753] Step 6:

[0754] The server receives data sent from the user's device, and collects information that reveals the user's behavioral patterns, preferences, and emotional state.

[0755] Step 7:

[0756] The server analyzes the received data and updates the user profile. Specifically, it uses machine learning and sentiment analysis algorithms to learn the user's interests, tendencies, and emotional state, and updates the profile accordingly.

[0757] Step 8:

[0758] The server automatically generates a private schedule that is optimal for the user based on the updated user profile. This also takes into account emotional information, providing a schedule that corresponds to the user's emotional state, for example by suggesting relaxation activities if the user is feeling stressed.

[0759] Step 9:

[0760] The server transmits the generated schedule proposal to the user terminal, allowing the user to check the proposed schedule proposal.

[0761] Step 10:

[0762] The user terminal receives the proposed schedule from the server and notifies the user, who then checks the proposed schedule and selects whether to approve or modify it.

[0763] Step 11:

[0764] When the user approves the proposed schedule, the information is sent from the user's device to the server, which triggers the server to start the next processing step.

[0765] Step 12:

[0766] With the user's approval, the server automatically makes the necessary reservations over the Internet, such as reserving accommodation or purchasing tickets to an event.

[0767] Step 13:

[0768] If the reservation is successful, the server sends the details to the user's terminal, allowing the user to check the reservation details.

[0769] Step 14:

[0770] The user terminal notifies the user of the confirmed schedule and reservation details. The user is informed that the schedule has been confirmed and the specific reservation contents.

[0771] Step 15:

[0772] When the cancellation deadline approaches, the user terminal will send a reminder to the user, urging the user to confirm or cancel the reservation within the deadline.

[0773] Step 16:

[0774] If the user does not confirm or take any action after the cancellation deadline has passed, that information is sent from the user terminal to the server.

[0775] Step 17:

[0776] The server automatically cancels the reservation. The user's terminal is notified that the cancellation has been completed, and the user is also notified of the cancellation.

[0777] Through these steps, the system of the present invention allows users to enjoy quality private time while saving time. By combining it with an emotion engine, it is possible to provide a more personalized experience according to the user's emotional state.

[0778] Example 2

[0779] 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."

[0780] In today's society, it is difficult for users to find quality private time amid their busy lifestyles. In particular, tasks such as schedule management and booking reservations can be time-consuming and can increase users' stress. Creating a personalized schedule that takes into account users' emotional state is also a challenge.

[0781] 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.

[0782] In this invention, the server includes means for collecting calendar information, browsing history, email and chat data from the user terminal, means for transmitting the collected data to the server and updating the user profile, means for analyzing the user's emotional state using an emotion engine, means for the server to automatically generate an optimal private schedule proposal based on the user profile and emotional information, means for transmitting the generated schedule proposal to the user terminal and requesting the user's confirmation and approval, means for automatically making a reservation over the Internet based on the user's approval, means for notifying the user of the confirmed schedule and reservation details, and means for sending a reminder to the user when the cancellation deadline is approaching and automatically canceling the reservation as necessary. This enables the user to efficiently enjoy optimal private time according to their emotional state without going through complicated procedures.

[0783] "User terminal" refers to a device used by a user, such as a smartphone, tablet, or PC, and is an interface device that has means for collecting calendar information, browsing history, email, and chat data.

[0784] A "server" is a central computer system that analyzes data, updates profiles, generates schedules, and manages reservations, and processes data sent from user terminals to provide various services.

[0785] An "emotion engine" refers to a device or software that analyzes a user's emotions through voice, text, facial recognition, etc., and sends the results to a server.

[0786] A "user profile" is a collection of data that reflects a user's behavioral patterns, preferences, and emotional state, and is information that the server uses to generate an optimal schedule.

[0787] "Schedule proposal" refers to the proposed private schedule automatically generated by the server based on the user profile and emotional information.

[0788] "Reservation" refers to the procedure for various services (e.g., reserving accommodation, purchasing event tickets, etc.) carried out over the Internet based on the user's authorization.

[0789] "Reminders" are notifications sent to users when the cancellation deadline approaches, helping them to remember important tasks and schedules.

[0790] The private life enrichment support system of the present invention is a system that supports users in spending quality private time even in the midst of a busy lifestyle. This system consists of three main components: a user terminal, a server, and an emotion engine.

[0791] System Configuration

[0792] 1. User Device:

[0793] The user device is a smartphone, tablet, or PC that acts as an interface with the user. The user device collects calendar information, browsing history, email, and chat data and sends it to the server using a variety of technologies, including Android's Calendar API, iOS's EventKit, Chrome's History API, Gmail API, Microsoft Graph API, LINE's Message API, and Slack API.

[0794] 2. Server:

[0795] The server is a central computer system that analyzes data, generates schedules, and manages reservations. The server updates user profiles based on data sent from user devices. It also reflects emotional information received from the emotion engine in the profiles. Python's pandas and scikit-learn are used for data analysis, and scikit-learn and TensorFlow are used for machine learning algorithms.

[0796] 3. Emotion Engine:

[0797] The emotion engine analyzes the user's voice, text, and facial recognition. It uses Google Cloud Speech-to-Text API and Amazon Transcribe for voice analysis, NLTK and Spacy for text analysis, and OpenCV and AWS Rekognition for facial recognition, and sends the analyzed emotion information to the server.

[0798] System Operation Overview

[0799] User device: The user device collects information such as calendar information, browsing history, emails, and chat data, and sends this data to the server.

[0800] Server: The server analyzes the data received from the user device and updates the user profile. It also reflects emotional information from the emotion engine in the profile. It then automatically generates an optimal private schedule proposal based on the profile and emotional information and sends it to the user device.

[0801] Emotion Engine: The emotion engine analyzes the user's emotions through voice, text, and facial recognition, and sends the results to the server.

[0802] Specific examples

[0803] For example, suppose a user is interested in "hot spring trips." The user's device retrieves the information "No plans for next weekend" from the calendar and detects keywords such as "hot springs" and "travel" from the web browser search history. The device also extracts the user's interests from email content and chat data. Meanwhile, the emotion engine analyzes the user's emotional state, such as "tiredness" or "stress," from the user's recent chat history and voice input.

[0804] Based on this information, the server updates the user profile, determining that "the user is interested in hot spring trips and needs relaxation," and proposes a "hot spring trip schedule for next weekend." The user's device notifies the user of this proposed schedule, and when the user presses the approval button, the information is sent to the server, and the hot spring inn reservation is automatically made. The user is then notified of the confirmed reservation details and schedule. In addition, as the cancellation deadline approaches, the user is sent a reminder, and if the reservation is not confirmed within the deadline, the server automatically cancels the reservation.

[0805] Prompt Sentence Examples

[0806] "Plan a trip to the hot springs next weekend."

[0807] "I'm feeling stressed. Please suggest a relaxation schedule."

[0808] "Suggest a relaxing activity for Saturday afternoon."

[0809] In this way, the system of the present invention efficiently provides optimal private time without requiring the user's effort, and provides a personalized experience that corresponds to the user's emotional state.

[0810] The flow of the identification process in the second embodiment will be described with reference to FIG.

[0811] Step 1:

[0812] Data collection

[0813] The user terminal collects calendar information, browsing history, email and chat data.

[0814] Input: Calendar information, browsing history, emails, and chat data stored on the user's device.

[0815] Data processing: Data is acquired using the Android Calendar API, iOS EventKit, Chrome History API, Gmail API, Microsoft Graph API, LINE Message API, and Slack API.

[0816] Output: The collected data is sent to a server for analysis.

[0817] Specific operation: The user device retrieves information about a "dentist appointment on Saturday at 2 PM" from Google Calendar, detects keywords related to "planning a trip to Rome" from the web browser history, and receives an email containing information such as "a class reunion will be held at a nearby restaurant next week."

[0818] Step 2:

[0819] Profile Update

[0820] The server receives the data sent from the user terminal and updates the user profile based on the user's behavioral patterns and preferences.

[0821] Input: Calendar information, browsing history, email, and chat data sent from the user's device.

[0822] Data processing: Analyze data using Python's pandas and scikit-learn and update user profiles.

[0823] Output: Updated user profile.

[0824] What it does: The server parses the events retrieved from Google Calendar and adds meetings with colleagues and events with family to the user's profile.

[0825] Step 3:

[0826] emotion recognition

[0827] The emotion engine analyzes the user's emotions through voice, text, and facial recognition and sends the results to the server.

[0828] Input: User voice data, text data, and facial recognition data.

[0829] Data processing: Sentiment analysis using Google Cloud Speech-to-Text API, Amazon Transcribe, NLTK, Spacy, OpenCV, and AWS Rekognition.

[0830] Output: Parsed emotion information.

[0831] Specific operation: The emotion engine identifies the emotion "tired" from the user's voice call data and analyzes the chat content as "stressed."

[0832] Step 4:

[0833] Schedule Generation

[0834] The server automatically generates optimal private schedule proposals based on the updated user profile.

[0835] Input: Updated user profile and sentiment information.

[0836] Data processing: Use AI algorithms and machine learning libraries (scikit-learn, TensorFlow) to generate optimal schedules.

[0837] Output: The generated schedule proposal.

[0838] Specific behavior: If the user is in a "high stress" situation, the server will add "Yoga class on Saturday at 2 PM" to the schedule and suggest it.

[0839] Step 5:

[0840] Schedule notifications and confirmations

[0841] The user terminal receives the proposed schedule sent from the server and notifies the user.

[0842] Input: Schedule proposal sent from the server.

[0843] Data processing: Notify the user using on-screen display, push notification, or email notification functions.

[0844] Output: Notification to the user.

[0845] Specific operation: The user's device sends a notification saying "There is a yoga class on Saturday at 2 PM" and asks the user to confirm. After that, when the user presses the "Approve" button, the information is sent to the server.

[0846] Step 6:

[0847] Making a reservation

[0848] The server automatically makes the necessary reservations over the Internet based on the user's approval.

[0849] Input: User authorization information and associated booking information.

[0850] Data processing: We use Booking.com API and Expedia API to book accommodations, and Ticketmaster API to purchase event tickets.

[0851] Output: Confirmed booking.

[0852] Specific behavior: Once the user approves the yoga class, the server accesses the yoga studio's booking system (API) and completes the booking.

[0853] Step 7:

[0854] Notifications and Reminders

[0855] The user device will notify the user of the confirmed schedule and reservation details, and will also notify the user as a reminder when the cancellation deadline is approaching.

[0856] Input: Confirmed schedule and booking information.

[0857] Data Processing: Notify users and send reminders using on-screen, push, and email notifications.

[0858] Output: Notifications and reminders to the user.

[0859] What it does: The user's device notifies them of the details of their yoga class and sends them a reminder one hour before the class starts.

[0860] Step 8:

[0861] Automatic Cancellation

[0862] The server automatically cancels any reservations that the user has not confirmed by the deadline and notifies the user of the result.

[0863] Input: Cancellation information from the reservation system and confirmation information of users who are on time.

[0864] Data processing: Use the reservation system's API as appropriate to automate reservation cancellation operations.

[0865] Output: Notification of cancellation.

[0866] Specific operation: If the cancellation deadline for a yoga class has passed, the server automatically cancels the reservation and notifies the user's device of the result.

[0867] (Application example 2)

[0868] 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."

[0869] Today's busy lifestyles make it difficult for users to spend quality private time efficiently. It is also difficult for users to efficiently find products that match their emotions and preferences when shopping. Furthermore, to improve the in-store shopping experience, there is a demand for real-time information provision and product suggestions based on user emotions.

[0870] The specific processing by the specific processing unit 290 of the data processing device 12 in Application Example 2 is realized by the following means. In this invention, the server includes: means for collecting calendar information, browsing history, email, and chat data from the user terminal; means for transmitting the collected data to the server and updating the user profile; means for the server to automatically generate an optimal private schedule proposal based on the user profile; means for transmitting the generated schedule proposal to the user terminal and requesting the user's confirmation and approval; means for automatically making a reservation over the Internet based on the user's approval; means for notifying the user of the confirmed schedule and reservation details; means for sending a reminder to the user when the cancellation deadline is approaching and automatically canceling the reservation as necessary; means for analyzing the user's emotions using voice, text, and facial recognition and suggesting products based on the emotion information; and means for providing recommendation information and discount information in real time when the user enters a physical store. This allows users to spend quality private time even with their busy lifestyles, and significantly improves the shopping experience by receiving personalized product proposals and real-time information based on the user's emotions.

[0871] "User terminal" refers to a device used by a user, such as a smartphone, tablet, or PC.

[0872] "Calendar information" is information obtained from a calendar application that records a user's schedule and appointments.

[0873] "Browsing history" refers to data on the web pages and search history that a user has viewed on the Internet.

[0874] "Email" refers to the content and metadata of emails sent or received by a User.

[0875] "Chat data" refers to the content of communications on messaging applications and social media used by users.

[0876] A "server" is a computer system that analyzes data sent from user terminals, updates user profiles, and performs other processing.

[0877] A "user profile" is a data set that compiles information such as a user's behavioral patterns, interests, and emotional state.

[0878] "Emotion recognition" is a technology that analyzes a user's emotions through voice, text, facial recognition, etc.

[0879] "Schedule proposals" are suggestions for schedules and events that are optimal for a user, generated by the server based on the user profile.

[0880] "Real-time notifications" is a feature that provides instant information when a user enters a physical store.

[0881] "Recommended information" is information about products and services suggested based on the user's emotions and profile.

[0882] A system for implementing the present invention comprises the following major components:

[0883] 1. User Device:

[0884] A user terminal is a device such as a smartphone, tablet, or PC. These devices act as an interface that collects the user's calendar information, browsing history, email, and chat data and transmits that data to the server. They also act as an interface with the user, displaying schedule suggestions and notifications sent from the server.

[0885] 2. Server:

[0886] The server is a central computer system that analyzes data sent from user devices and updates user profiles. Based on the user profile, it automatically generates optimal private schedule proposals. Furthermore, it automatically executes reservations over the Internet based on the user's approval and notifies the user device of the confirmed schedule and reservation details.

[0887] 3. Emotion Engine:

[0888] The emotion engine analyzes the user's emotions through voice, text, and facial recognition, and sends the emotional information to a server. The emotional information is added to the user profile and is used to create personalized schedules and product recommendations.

[0889] 4. Real-time notification system:

[0890] When a user enters a physical store, the server sends real-time recommendation and discount information to the user's device, allowing the user to receive the most suitable product information and special offers on the spot.

[0891] Hardware and software used

[0892] Hardware:

[0893] Camera (to capture the user's face and recognize emotions)

[0894] Smartphones and smart glasses (user interfaces)

[0895] software:

[0896] OpenCV (a library for face recognition and image processing)

[0897] Requests (a library for communicating with the server)

[0898] Machine learning algorithms (user profile generation and automatic schedule generation)

[0899] Specific examples

[0900] For example, if a user has no plans for the next weekend, the user's device sends that information to the server. The emotion engine then analyzes the user's emotional information, such as their recent stress levels, and the server suggests a "hot spring trip." The user is notified of this suggestion, and when the user presses the "approval" button, the server automatically makes a reservation for the hot spring resort. If the reservation is successful, the information is sent to the user's device. Furthermore, when the user enters a shopping mall, discount information and recommended product information are displayed in real time on the user's device.

[0901] Prompt Sentence Examples

[0902] "Create a system that makes shopping suggestions based on emotion information to help users find the best private time for themselves despite their busy schedules. Recognize users' emotions and provide product suggestions and store information in real time based on that information."

[0903] In this way, the system of the present invention allows users to spend quality private time while eliminating cumbersome procedures, and also realizes personalized product proposals that take emotional information into consideration and the provision of information in real time.

[0904] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[0905] Step 1:

[0906] The user device collects calendar information, browsing history, email, and chat data. Specifically, data is obtained from the device's calendar application, browser history, email application, and chat application, and then preprocessed to extract a valid dataset and send it to the server. The input is the raw data from each application, and the output is the preprocessed data.

[0907] Step 2:

[0908] The server updates the user profile based on the received data. This profile includes the user's behavioral patterns, interests, schedule, etc., and updates each item in the profile using the data sent in the previous step. The input is the preprocessed data, and the output is the updated user profile.

[0909] Step 3:

[0910] The emotion engine analyzes emotional data such as the user's voice, text, and facial images. The emotion engine acquires voice and facial images from the user's device and uses an emotion recognition algorithm to determine the user's emotional state. The results are sent to the server. The input is voice data and facial images, and the output is data indicating the user's emotional state.

[0911] Step 4:

[0912] The server automatically generates optimal private schedule proposals based on the user profile and emotional data. Using a generative AI model, the server inputs the user profile and emotional information and proposes the optimal schedule for the user. The input is the updated user profile and emotional data, and the output is the generated schedule proposal.

[0913] Step 5:

[0914] The server sends the generated schedule proposal to the user's terminal and asks the user to confirm and approve it. Specifically, it displays a notification of the schedule proposal on the terminal, allowing the user to confirm it and send instructions for approval or modification. The input is the generated schedule proposal, and the output is the user's response.

[0915] Step 6:

[0916] Based on the user's approval, the server automatically makes the necessary reservations over the Internet. For example, it makes online reservations for accommodation or event tickets and sends the results to the user's device. The input is the schedule plan approved by the user, and the output is reservation confirmation information.

[0917] Step 7:

[0918] When a user enters a physical store, the server sends recommendation and discount information to the user's device in real time. Specifically, it uses the store's location information and in-store sensor information to detect that the user is inside the store and immediately notifies the user of relevant information. The input is the user's location information, and the output is real-time recommendation and discount information.

[0919] Step 8:

[0920] The server notifies the user's device of the confirmed schedule and reservation details, and sends a reminder when the cancellation deadline approaches. Furthermore, if the user does not respond by the deadline, the reservation is automatically canceled. The input is the confirmed schedule, reservation details, and the user's response, and the output is a reminder or cancellation confirmation.

[0921] 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.

[0922] 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.

[0923] 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.

[0924] [Third embodiment]

[0925] FIG. 5 shows an example of the configuration of a data processing system 310 according to the third embodiment.

[0926] 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.

[0927] 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).

[0928] 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.

[0929] 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.

[0930] 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).

[0931] 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.

[0932] 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.

[0933] 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.

[0934] 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.

[0935] 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.

[0936] 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."

[0937] The private life enrichment support system of the present invention is a system that supports users in spending quality private time even in the midst of a busy lifestyle. Specific embodiments of the system are described below.

[0938] System Configuration

[0939] This system consists of two main components: a user device and a server. The user device can be a smartphone, tablet, or PC and acts as the interface with the user. The server is the central computer system that analyzes data, generates schedules, and manages reservations.

[0940] Main features

[0941] 1. Data Collection:

[0942] The user's device collects calendar information, browsing history, email, and chat data. This involves obtaining schedule information from calendar applications, extracting keywords of interest from web browser browsing history, and analyzing the user's communication content from email and chat apps to extract interests and schedules.

[0943] 2. Profile Update:

[0944] The server receives the data sent from the user's device and updates the user profile based on the user's behavioral patterns and preferences, preparing to propose a personalized schedule.

[0945] 3. Schedule generation:

[0946] The server automatically generates optimal private schedule suggestions based on the updated user profile. Specifically, it plans trips and event options taking into account past behavioral patterns, current trends, and seasonal factors. The generated schedule suggestions are adjusted to match the user's hobbies and tendencies.

[0947] 4. Schedule Notification and Confirmation:

[0948] The user terminal receives the proposed schedule from the server and notifies the user, who then checks and approves the proposed schedule.

[0949] 5. Making a reservation:

[0950] With the user's approval, the server automatically makes the necessary reservations over the Internet, including reserving accommodations and purchasing event tickets. If the reservation is successful, the server notifies the user's device of the reservation information.

[0951] 6. Notifications and Reminders:

[0952] The user device will notify the user of the confirmed schedule and reservation details, and will also notify the user as a reminder when the cancellation deadline approaches.

[0953] 7. Automatic Cancellation:

[0954] Information is sent from the user's terminal to the server, and reservations that the user has not confirmed by the deadline are automatically canceled, preventing unnecessary reservation fees from being incurred.

[0955] Specific examples

[0956] For example, suppose a user is interested in "hot spring trips." The user's device retrieves the information "No plans for next weekend" from the calendar and detects keywords such as "hot springs" and "trips" from the search history of the web browser.

[0957] Based on this information, the server updates the user's profile to indicate that "the user is interested in hot spring trips" and proposes a "hot spring trip schedule for the following weekend." The user's device notifies the user of this proposed schedule, and when the user presses the approval button, the information is sent to the server, and the hot spring inn reservation is automatically made. The user is then notified of the confirmed reservation details and schedule. When the cancellation deadline approaches, the user is sent a reminder, and if they do not confirm within the deadline, the server automatically cancels the reservation.

[0958] In this way, the system of the present invention allows users to efficiently enjoy optimal private time without having to go through complicated procedures themselves.

[0959] The processing flow will be explained below.

[0960] Step 1:

[0961] The user terminal acquires calendar information, which includes an operation of accessing a calendar application and collecting information on appointments and free time entered by the user.

[0962] Step 2:

[0963] The user terminal acquires the browsing history of the web browser, which includes an operation of analyzing the search history for specific keywords (e.g., hot springs, travel).

[0964] Step 3:

[0965] The user terminal acquires email and chat data, which includes analyzing the contents of received emails and chat messages and extracting schedules and interests.

[0966] Step 4:

[0967] The user device consolidates all collected data into a single data set and sends it to the server, including calendar information, browsing history, email content, and chat messages.

[0968] Step 5:

[0969] The server receives data sent from the user's device, and collects information that reveals the user's behavioral patterns and preferences.

[0970] Step 6:

[0971] The server analyzes the received data and updates the user profile by using machine learning algorithms to learn the user's interests and tendencies and reflect the results in the profile.

[0972] Step 7:

[0973] The server automatically generates optimal private schedule proposals for each user based on the updated user profile, including planning that takes into account past behavioral patterns, current trends, and seasonal factors.

[0974] Step 8:

[0975] The server transmits the generated schedule proposal to the user terminal, allowing the user to check the proposed schedule proposal.

[0976] Step 9:

[0977] The user terminal receives the proposed schedule from the server and notifies the user, who then checks the proposed schedule and selects whether to approve or modify it.

[0978] Step 10:

[0979] When the user approves the proposed schedule, the information is sent from the user's device to the server, which triggers the server to start the next processing step.

[0980] Step 11:

[0981] With the user's approval, the server automatically makes the necessary reservations over the Internet, such as reserving accommodation or purchasing tickets to an event.

[0982] Step 12:

[0983] If the reservation is successful, the server sends the details to the user's terminal, allowing the user to check the reservation details.

[0984] Step 13:

[0985] The user terminal notifies the user of the confirmed schedule and reservation details. The user is informed that the schedule has been confirmed and the specific reservation contents.

[0986] Step 14:

[0987] When the cancellation deadline approaches, the user terminal will send a reminder to the user, urging the user to confirm or cancel the reservation within the deadline.

[0988] Step 15:

[0989] If the user does not confirm or take any action after the cancellation deadline has passed, that information is sent from the user terminal to the server.

[0990] Step 16:

[0991] The server automatically cancels the reservation. The user's terminal is notified that the cancellation has been completed, and the user is also notified of the cancellation.

[0992] Through these steps, the system of the present invention allows users to enjoy quality private time while saving time and effort.

[0993] Example 1

[0994] 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."

[0995] Today's busy lifestyles make it difficult and cumbersome for users to plan and book activities that allow them to spend quality time. Manual scheduling and booking procedures, in particular, are extremely time-consuming and laborious, placing a significant burden on users. Furthermore, while it is necessary to accurately understand users' past behavioral patterns and current interests in order to propose plans that match their interests and preferences, there is currently a lack of effective methods for achieving this.

[0996] 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.

[0997] In this invention, the server includes means for collecting schedule management information, web history, email, and communication application data from the user terminal, means for transmitting the collected data to the server and updating the user profile, means for the server to automatically generate an optimal personalized schedule proposal based on the user profile, means for transmitting the generated schedule proposal to the user terminal and requesting the user's confirmation and approval, means for automatically executing the reservation over the network based on the user's approval, means for notifying the user of the confirmed schedule and reservation details, and means for sending a reminder to the user when the cancellation deadline is approaching and automatically canceling the reservation as necessary. This allows users to efficiently enjoy high-quality private time without going through complicated procedures.

[0998] "User terminal" means an electronic device used by a user, including a smartphone, tablet, or personal computer.

[0999] "Date management information" refers to schedule and appointment information stored in a user's calendar or schedule management application.

[1000] "Web history" refers to the record of websites and search queries a user has visited through their internet browser.

[1001] "Email" refers to the content of communication messages sent or received by a User through the Email Service, as well as their metadata.

[1002] "Communications application" refers to a software application that enables text chat, voice, or video calls between users, including, for example, messaging apps and social networking apps.

[1003] "Server" refers to the central computer system that analyzes data, updates profiles, generates schedules and manages reservations.

[1004] "User Profile" refers to a database entry created based on a user's behavioral patterns and preferences.

[1005] "Personalized schedule suggestions" refers to private activity plans suggested based on the user's hobbies, interests, and past behavioral data.

[1006] "Network" refers to a communications infrastructure that allows computers and other devices to share information.

[1007] A "reminder" is a notification or alert that prompts the user to take a specific action.

[1008] A "generative AI model" refers to an artificial intelligence algorithm that analyzes user data and makes predictions and suggestions.

[1009] The system of this invention is a support system for efficiently enriching users' private time. Its specific configuration consists of two main components: a user terminal and a server. The user terminal is a smartphone, tablet, or PC, and functions as an interface with the user. The server is a central computer system that performs data analysis, profile updates, schedule generation, and reservation management.

[1010] Data collection implementation:

[1011] The user's device collects the user's schedule information, web history, email, and communication application data. Specifically, for example, it retrieves calendar information using the Google Calendar API, analyzes search history using a Chrome extension, and also analyzes the Gmail IMAP API and message content from communication applications.

[1012] Profile update implementation:

[1013] The server receives data in JSON format sent from the user device via the HTTPS protocol, then analyzes the data using Python's Pandas library and updates the user profile based on the user's behavioral patterns and preferences.

[1014] Schedule generation embodiment:

[1015] The server automatically generates optimal personalized schedule suggestions using a generative AI model (e.g., GPT-3) based on the updated user profile. The AI ​​creates suggestions by inputting a prompt sentence into the generative AI model: "Please suggest plans for next weekend. My recent browser history includes 'hot springs' and 'travel.'"

[1016] Schedule notification and confirmation implementation:

[1017] The server sends the generated schedule proposal in JSON format to the user's device, which then notifies the user via mobile push notification or in-app notification and displays an "Approve" button on the app's UI, allowing the user to review and approve the schedule proposal.

[1018] Reservation form:

[1019] When the user presses the approval button, the information is sent to the server. The server then calls the API of the travel site or facility reservation system to make the reservation for the specified dates. If the reservation is successful, the information is sent back to the user's device in JSON format.

[1020] Notification and reminder implementation examples:

[1021] The user's device will notify them of the confirmed schedule and reservation details via push notification, and will also use the timer function in the calendar app to send reminders when the cancellation deadline approaches.

[1022] Implementation of automatic cancellation:

[1023] The server checks the cancellation deadline, and if the user does not confirm by the deadline, it calls the reservation system's API to automatically process the cancellation.

[1024] This system allows users to easily find the best plan based on their interests and schedule, eliminating complicated procedures and allowing them to enjoy relaxing private time efficiently.

[1025] The flow of the identification process in the first embodiment will be described with reference to FIG.

[1026] Step 1:

[1027] The user terminal acquires the calendar information.

[1028] Specific operation: The user device uses the Google Calendar API to obtain the user's schedule information.

[1029] Input: Google Calendar API credentials.

[1030] Output: Current user's schedule information in JSON format.

[1031] The calendar information includes the user's schedule and free time, and is used for planning purposes in subsequent processes.

[1032] Step 2:

[1033] The user terminal acquires the web history.

[1034] What it does: It uses a Chrome extension to analyze the search history from the past week and extract keywords such as "hot springs" and "travel."

[1035] Input: Web browser history data.

[1036] Output: A list of keywords that indicate user interest.

[1037] Keywords extracted from web history are used for subsequent planning as information reflecting the user's current interests.

[1038] Step 3:

[1039] The user terminal analyzes the messages in the email and communication applications.

[1040] What it does: It uses Gmail's IMAP API to analyze the subject and body of incoming emails and extract specific keywords, as well as chat messages from communication applications.

[1041] Input: Message content for email and communication applications.

[1042] Output: A list of keywords related to the user's interests and agenda.

[1043] Data extracted from emails and message content provides valuable information that reflects users' lifestyles and interests.

[1044] Step 4:

[1045] The server receives and analyzes the collected data.

[1046] Specific operation: Receives data sent from the user terminal via HTTPS in JSON format, then uses Python's Pandas library to store the data in a data frame and analyze it.

[1047] Input: Calendar information, web history, email, and data from communication applications.

[1048] Output: A user profile based on user behavior patterns and preferences.

[1049] By analyzing the collected data, we understand user trends and interests and update their profiles.

[1050] Step 5:

[1051] The server generates an optimal personalized schedule proposal.

[1052] Specific operation: Based on the updated user profile, a prompt sentence is input into a generative AI model (e.g., GPT-3), and the AI ​​generates a proposed schedule.

[1053] Input: User profile, prompt (e.g. "Please suggest something for next weekend. My recent browser history includes 'hot springs' and 'travel'.").

[1054] Output: Optimal personalized schedule proposal.

[1055] The generated schedule proposals are adjusted to match the user's tastes and preferences.

[1056] Step 6:

[1057] The server transmits the generated schedule proposal to the user terminal.

[1058] Specific operation: The generated schedule proposal is sent to the user's device in JSON format.

[1059] Input: Optimal personalized schedule suggestions.

[1060] Output: The proposed schedule sent to the user.

[1061] The user terminal receives this information and notifies the user.

[1062] Step 7:

[1063] The user terminal notifies the user of the proposed schedule and requests approval.

[1064] What it does: Inform users of the new schedule proposal via mobile push notifications and in-app notifications. Show an "Approve" button in the app UI.

[1065] Input: Schedule proposal sent from the server.

[1066] Output: The proposed schedule notified to the user.

[1067] Users can review and approve the proposed schedule.

[1068] Step 8:

[1069] The user reviews and approves the proposed schedule.

[1070] Specific behavior: Operate the "Approve" button on the application's UI.

[1071] Input: User decision.

[1072] Output: The approval result is sent to the server.

[1073] The approved information is passed to the server and the next step is taken.

[1074] Step 9:

[1075] The server receives the user's approval and executes the reservation.

[1076] Specific operation: Calls the API of a travel site or facility reservation system and makes a reservation for the specified dates.

[1077] Input: User approval information, proposed schedule.

[1078] Output: Booking completion information.

[1079] If the reservation is successful, the information will be notified to the user in the next step.

[1080] Step 10:

[1081] The server sends the reservation details to the user terminal.

[1082] Specific operation: Sends reservation details in JSON format to the user's device.

[1083] Input: Booking completion information.

[1084] Output: Booking details sent to the user.

[1085] Users can check the reservation details.

[1086] Step 11:

[1087] The user terminal notifies the user of the reservation details and schedule.

[1088] Specific behavior: Send a push notification to the user to inform them of the reservation details.

[1089] Input: Booking details.

[1090] Output: Booking details and schedule notified to user.

[1091] The user will receive a notification to confirm.

[1092] Step 12:

[1093] The user terminal sends a reminder when the cancellation deadline approaches.

[1094] What it does: Uses the timer feature in your calendar app to send you a reminder when the cancellation deadline approaches.

[1095] Input: Reservation details, cancellation deadline.

[1096] Output: Reminder notification.

[1097] A reminder is set for the user to take note of.

[1098] Step 13:

[1099] The server will automatically cancel any reservations that the user does not confirm in time.

[1100] Specific operation: Checks the cancellation deadline, and if the deadline has passed, calls the reservation system's API to process the cancellation.

[1101] Input: Cancellation deadline information.

[1102] Output: Reservation cancellation notice.

[1103] Unnecessary reservations are automatically cancelled to prevent unnecessary costs.

[1104] (Application example 1)

[1105] 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."

[1106] For users who lead busy lifestyles, it is difficult to secure quality private time. Furthermore, meal preparation also requires time, making overall time management extremely cumbersome. The objective of this invention is to provide a system that allows users to efficiently manage their schedules and receive meal suggestions and offers tailored to their lifestyles.

[1107] 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.

[1108] In this invention, the server includes means for collecting calendar information, browsing history, email and chat data from the user terminal, means for sending the collected data to the server and updating the user profile, means for the server to automatically generate an optimal private schedule proposal based on the user profile, means for sending the generated schedule proposal to the user terminal and requesting the user's confirmation and approval, means for automatically making a reservation over the Internet based on the user's approval, means for notifying the user of the confirmed schedule and reservation details, means for sending a reminder to the user when the cancellation deadline is approaching and automatically canceling the reservation as necessary, and means for suggesting optimal food delivery based on the user's dietary preferences and schedule and automatically ordering. This allows users to spend quality private time without the hassle of time management and meals.

[1109] "User terminal" means a device that acts as an interface with a user and collects calendar information, browsing history, email and chat data.

[1110] "Calendar information" refers to schedule information including details of the user's plans and events.

[1111] "Browsing history" refers to the history of web pages a user has accessed on the Internet.

[1112] "Email" means an electronic message sent or received over the Internet.

[1113] "Chat Data" means messages exchanged between users through chat applications.

[1114] A "server" is a central computer system that analyzes data, generates schedules, and manages reservations.

[1115] "User profile" means profile information that reflects a user's behavioral patterns and preferences, generated based on collected data.

[1116] "Private schedule proposals" are automatically generated schedule suggestions tailored to the user's lifestyle.

[1117] The "Internet" is an international network system that connects networks around the world and enables the exchange of information.

[1118] "Reservation" means reserving a specific date, time, location, service, etc. in advance.

[1119] A "reminder" is a notification sent to the user to inform them of important events or deadlines.

[1120] "Food delivery" refers to a service that allows users to have meals delivered to a specific location and time.

[1121] The present invention is a system for supporting users in enriching their meals and private time, and is implemented using a user terminal and a server. A detailed description of the system is provided below.

[1122] Main functions and configuration

[1123] User Device

[1124] User devices can be smartphones, tablets or PCs. They act as an interface between the user and the system and collect data such as:

[1125] Calendar Information

[1126] Browsing history

[1127] Email

[1128] Chat Data

[1129] This collected data is sent to a server, where a personalized profile is created based on the user's real-time information.

[1130] server

[1131] The server plays a key role in analyzing data, updating user profiles, and automatically generating private schedule suggestions and food delivery suggestions. Specifically, it performs the following tasks:

[1132] 1. Data analysis and profile update: Analyze user behavior patterns based on the received data and update the profile.

[1133] 2. Schedule Generation: Generates an optimal private schedule based on the updated profile, taking into account past behavioral patterns, current trends, and seasonal factors.

[1134] 3. Food delivery suggestions: Taking into account the user's food preferences and schedule, we suggest the most suitable food delivery options.

[1135] Detailed processing

[1136] Data collection and profile updates

[1137] Data collected from the user's device is sent to a server, which uses it to update the user profile, for example by retrieving the user's schedule from their smartphone's calendar information and emails, or analyzing their food preferences from their browser history.

[1138] Schedule Generation and Notification

[1139] The server generates a private schedule proposal based on the updated profile, which is then sent to the user's device, where the user can review and approve the proposal, allowing the user to plan quality private time.

[1140] Food delivery suggestions and auto-ordering

[1141] Once the user approves the proposed schedule, the server generates food delivery suggestions. It suggests meals that match the user's preferences and automatically places the order once the user confirms. For example, if the user has free time in their schedule, it will suggest meals they might like based on their past history and notify their smartphone of the suggestions.

[1142] Example

[1143] For example, if a user with free weekend plans has recently frequently searched for "pasta dishes," the system will detect this and generate a schedule suggesting a pasta set for lunch next Saturday. If the user approves this suggestion, food delivery will be automatically ordered at the specified time.

[1144] Example prompts for generative AI models

[1145] "Generate the following food delivery suggestions. The user's preferences are sushi and soup, and data collection indicates that there is availability for lunch today. Please provide the best suggestions."

[1146] In this way, the server automatically optimizes the user's private time and meals, allowing them to live a more efficient and fulfilling life.

[1147] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[1148] Step 1:

[1149] The user's device collects calendar information, browsing history, email, and chat data. Specifically, it obtains the user's schedule from the smartphone's calendar app and extracts information about visited websites from the internet browser history. It also collects related data from email and chat applications. The input is various data stored on the user's device, and the output is a data package sent to the server.

[1150] Step 2:

[1151] The server receives and analyzes data sent from the user's device. The received data includes the user's calendar information, browsing history, email content, and chat content. The server uses this data to update the user profile. For example, it can analyze the user's interests from search history over a certain period of time and reflect this in the profile. The input is a set of data sent from the user's device, and the output is an updated user profile.

[1152] Step 3:

[1153] The server automatically generates optimal private schedule proposals based on the updated user profile. Schedule proposals are created taking into account past behavioral patterns and preferences, current trends, seasonal factors, and more. A generative AI model is then used to predict future behavioral patterns from past data. The input is the latest user profile, and the output is the generated private schedule proposal.

[1154] Step 4:

[1155] The server sends the generated private schedule proposal to the user's terminal. The user's terminal notifies the user of the received schedule proposal and asks for confirmation and approval of the contents. The input is the schedule proposal sent from the server, and the output is the notification to the user's terminal.

[1156] Step 5:

[1157] The user checks and approves the proposed schedule on the terminal. When the user presses the approval button, the confirmation information is sent to the server. The input is the user's confirmation operation, and the output is the approval information.

[1158] Step 6:

[1159] The server automatically executes reservations over the Internet based on the user's approval. For example, it orders food delivery based on available times. This process uses the APIs of reservation systems and delivery services. The input is the user's approval information, and the output is the processed reservation information.

[1160] Step 7:

[1161] The server notifies the user of the confirmed schedule and reservation details. The user terminal receives this information and notifies the user. The input is the confirmed schedule and reservation information, and the output is the notification to the user.

[1162] Step 8:

[1163] The server sends a reminder to the user when the cancellation deadline is approaching. If the user does not confirm by the deadline, the server automatically cancels the reservation. This process involves another confirmation process with the user interface. The input is information about the cancellation deadline, and the output is the reminder notification and cancellation process.

[1164] These steps will enable efficient schedule management and meal suggestions and offerings that fit the user's lifestyle.

[1165] 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.

[1166] The private life enrichment support system of the present invention is a system that supports users in spending quality private time even in the midst of a busy lifestyle. Specific embodiments of the system are described below.

[1167] System Configuration

[1168] This system consists of three main components: a user device, a server, and an emotion engine. The user device is a smartphone, tablet, or PC, and functions as the interface with the user. The server is a central computer system that analyzes data, generates schedules, and manages reservations. The emotion engine recognizes and analyzes user emotions and reflects the results throughout the system.

[1169] Main features

[1170] 1. Data Collection:

[1171] The user's device collects calendar information, browsing history, email, and chat data. Schedule information is obtained from the calendar application, and keywords of interest are extracted from the web browser's browsing history. The user's communication content from email and chat applications is also analyzed to extract information about their interests and schedules.

[1172] 2. Profile Update:

[1173] The server receives data sent from the user's device and updates the user profile based on the user's behavioral patterns and preferences. It also reflects emotional information received from the emotion engine.

[1174] 3. Emotion recognition:

[1175] The emotion engine analyzes the user's emotions through voice, text, facial recognition, etc. The analyzed emotion information is sent to the server and added to the user profile.

[1176] 4. Schedule generation:

[1177] The server automatically generates a private schedule that is optimal for the user based on the updated user profile. This also takes into account emotional information, providing a schedule that corresponds to the user's emotional state, for example by suggesting relaxation activities if the user is feeling stressed.

[1178] 5. Schedule Notification and Confirmation:

[1179] The user terminal receives the proposed schedule from the server and notifies the user, who then checks the proposed schedule and selects whether to approve or modify it.

[1180] 6. Making a reservation:

[1181] With the user's approval, the server automatically makes the necessary reservations over the Internet, such as reserving accommodation or purchasing event tickets. If the reservation is successful, the reservation information is sent to the user's device.

[1182] 7. Notifications and Reminders:

[1183] The user device will notify the user of the confirmed schedule and reservation details, and will also notify the user as a reminder when the cancellation deadline approaches.

[1184] 8. Automatic Cancellation:

[1185] Information is sent from the user's terminal to the server, and reservations that the user did not confirm by the deadline are automatically canceled. The user is notified that the cancellation has been completed.

[1186] Specific examples

[1187] For example, suppose a user is interested in "hot spring trips." The user's device retrieves the information "No plans for next weekend" from the calendar and detects keywords such as "hot springs" and "trips" from the web browser search history. Meanwhile, the emotion engine analyzes emotions such as "tiredness" and "stress" from the user's recent chat history and voice input.

[1188] Based on this information, the server updates the user's profile to indicate that "the user is interested in hot spring trips and needs relaxation," and suggests a "hot spring trip schedule for next weekend." The user's device notifies the user of this proposed schedule, and when the user presses the approval button, the information is sent to the server, and the hot spring inn reservation is automatically made. The user is then notified of the confirmed reservation details and schedule. When the cancellation deadline approaches, the user is sent a reminder, and if they do not confirm within the deadline, the server automatically cancels the reservation.

[1189] In this way, the system of the present invention allows users to efficiently enjoy their optimal private time without having to go through complicated procedures. Furthermore, by combining it with an emotion engine, it is possible to provide a more personalized experience according to the user's emotional state.

[1190] The processing flow will be explained below.

[1191] Step 1:

[1192] The user terminal acquires calendar information, which includes an operation of accessing a calendar application and collecting information on appointments and free time entered by the user.

[1193] Step 2:

[1194] The user terminal acquires the browsing history of the web browser, which includes an operation of analyzing the search history for specific keywords (e.g., hot springs, travel).

[1195] Step 3:

[1196] The user terminal acquires email and chat data, which includes analyzing the contents of received emails and chat messages and extracting schedules and interests.

[1197] Step 4:

[1198] The emotion engine analyzes user emotions based on user voice, text, and facial recognition data, including using emotion analysis algorithms to identify a user's emotional state (e.g., joy, stress, fatigue).

[1199] Step 5:

[1200] The user device integrates all the data collected and analyzed in steps 1 to 4 into a single dataset and sends it to the server. This dataset includes calendar information, browsing history, email content, chat messages, and emotional information.

[1201] Step 6:

[1202] The server receives data sent from the user's device, and collects information that reveals the user's behavioral patterns, preferences, and emotional state.

[1203] Step 7:

[1204] The server analyzes the received data and updates the user profile. Specifically, it uses machine learning and sentiment analysis algorithms to learn the user's interests, tendencies, and emotional state, and updates the profile accordingly.

[1205] Step 8:

[1206] The server automatically generates a private schedule that is optimal for the user based on the updated user profile. This also takes into account emotional information, providing a schedule that corresponds to the user's emotional state, for example by suggesting relaxation activities if the user is feeling stressed.

[1207] Step 9:

[1208] The server transmits the generated schedule proposal to the user terminal, allowing the user to check the proposed schedule proposal.

[1209] Step 10:

[1210] The user terminal receives the proposed schedule from the server and notifies the user, who then checks the proposed schedule and selects whether to approve or modify it.

[1211] Step 11:

[1212] When the user approves the proposed schedule, the information is sent from the user's device to the server, which triggers the server to start the next processing step.

[1213] Step 12:

[1214] With the user's approval, the server automatically makes the necessary reservations over the Internet, such as reserving accommodation or purchasing tickets to an event.

[1215] Step 13:

[1216] If the reservation is successful, the server sends the details to the user's terminal, allowing the user to check the reservation details.

[1217] Step 14:

[1218] The user terminal notifies the user of the confirmed schedule and reservation details. The user is informed that the schedule has been confirmed and the specific reservation contents.

[1219] Step 15:

[1220] When the cancellation deadline approaches, the user terminal will send a reminder to the user, urging the user to confirm or cancel the reservation within the deadline.

[1221] Step 16:

[1222] If the user does not confirm or take any action after the cancellation deadline has passed, that information is sent from the user terminal to the server.

[1223] Step 17:

[1224] The server automatically cancels the reservation. The user's terminal is notified that the cancellation has been completed, and the user is also notified of the cancellation.

[1225] Through these steps, the system of the present invention allows users to enjoy quality private time while saving time. By combining it with an emotion engine, it is possible to provide a more personalized experience according to the user's emotional state.

[1226] Example 2

[1227] 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."

[1228] In today's society, it is difficult for users to find quality private time amid their busy lifestyles. In particular, tasks such as schedule management and booking reservations can be time-consuming and can increase users' stress. Creating a personalized schedule that takes into account users' emotional state is also a challenge.

[1229] 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.

[1230] In this invention, the server includes means for collecting calendar information, browsing history, email and chat data from the user terminal, means for transmitting the collected data to the server and updating the user profile, means for analyzing the user's emotional state using an emotion engine, means for the server to automatically generate an optimal private schedule proposal based on the user profile and emotional information, means for transmitting the generated schedule proposal to the user terminal and requesting the user's confirmation and approval, means for automatically making a reservation over the Internet based on the user's approval, means for notifying the user of the confirmed schedule and reservation details, and means for sending a reminder to the user when the cancellation deadline is approaching and automatically canceling the reservation as necessary. This enables the user to efficiently enjoy optimal private time according to their emotional state without going through complicated procedures.

[1231] "User terminal" refers to a device used by a user, such as a smartphone, tablet, or PC, and is an interface device that has means for collecting calendar information, browsing history, email, and chat data.

[1232] A "server" is a central computer system that analyzes data, updates profiles, generates schedules, and manages reservations, and processes data sent from user terminals to provide various services.

[1233] An "emotion engine" refers to a device or software that analyzes a user's emotions through voice, text, facial recognition, etc., and sends the results to a server.

[1234] A "user profile" is a collection of data that reflects a user's behavioral patterns, preferences, and emotional state, and is information that the server uses to generate an optimal schedule.

[1235] "Schedule proposal" refers to the proposed private schedule automatically generated by the server based on the user profile and emotional information.

[1236] "Reservation" refers to the procedure for various services (e.g., reserving accommodation, purchasing event tickets, etc.) carried out over the Internet based on the user's authorization.

[1237] "Reminders" are notifications sent to users when the cancellation deadline approaches, helping them to remember important tasks and schedules.

[1238] The private life enrichment support system of the present invention is a system that supports users in spending quality private time even in the midst of a busy lifestyle. This system consists of three main components: a user terminal, a server, and an emotion engine.

[1239] System Configuration

[1240] 1. User Device:

[1241] The user device is a smartphone, tablet, or PC that acts as an interface with the user. The user device collects calendar information, browsing history, email, and chat data and sends it to the server using a variety of technologies, including Android's Calendar API, iOS's EventKit, Chrome's History API, Gmail API, Microsoft Graph API, LINE's Message API, and Slack API.

[1242] 2. Server:

[1243] The server is a central computer system that analyzes data, generates schedules, and manages reservations. The server updates user profiles based on data sent from user devices. It also reflects emotional information received from the emotion engine in the profiles. Python's pandas and scikit-learn are used for data analysis, and scikit-learn and TensorFlow are used for machine learning algorithms.

[1244] 3. Emotion Engine:

[1245] The emotion engine analyzes the user's voice, text, and facial recognition. It uses Google Cloud Speech-to-Text API and Amazon Transcribe for voice analysis, NLTK and Spacy for text analysis, and OpenCV and AWS Rekognition for facial recognition, and sends the analyzed emotion information to the server.

[1246] System Operation Overview

[1247] User device: The user device collects information such as calendar information, browsing history, emails, and chat data, and sends this data to the server.

[1248] Server: The server analyzes the data received from the user device and updates the user profile. It also reflects emotional information from the emotion engine in the profile. It then automatically generates an optimal private schedule proposal based on the profile and emotional information and sends it to the user device.

[1249] Emotion Engine: The emotion engine analyzes the user's emotions through voice, text, and facial recognition, and sends the results to the server.

[1250] Specific examples

[1251] For example, suppose a user is interested in "hot spring trips." The user's device retrieves the information "No plans for next weekend" from the calendar and detects keywords such as "hot springs" and "travel" from the web browser search history. The device also extracts the user's interests from email content and chat data. Meanwhile, the emotion engine analyzes the user's emotional state, such as "tiredness" or "stress," from the user's recent chat history and voice input.

[1252] Based on this information, the server updates the user profile, determining that "the user is interested in hot spring trips and needs relaxation," and proposes a "hot spring trip schedule for next weekend." The user's device notifies the user of this proposed schedule, and when the user presses the approval button, the information is sent to the server, and the hot spring inn reservation is automatically made. The user is then notified of the confirmed reservation details and schedule. In addition, as the cancellation deadline approaches, the user is sent a reminder, and if the reservation is not confirmed within the deadline, the server automatically cancels the reservation.

[1253] Prompt Sentence Examples

[1254] "Plan a trip to the hot springs next weekend."

[1255] "I'm feeling stressed. Please suggest a relaxation schedule."

[1256] "Suggest a relaxing activity for Saturday afternoon."

[1257] In this way, the system of the present invention efficiently provides optimal private time without requiring the user's effort, and provides a personalized experience that corresponds to the user's emotional state.

[1258] The flow of the identification process in the second embodiment will be described with reference to FIG.

[1259] Step 1:

[1260] Data collection

[1261] The user terminal collects calendar information, browsing history, email and chat data.

[1262] Input: Calendar information, browsing history, emails, and chat data stored on the user's device.

[1263] Data processing: Data is acquired using the Android Calendar API, iOS EventKit, Chrome History API, Gmail API, Microsoft Graph API, LINE Message API, and Slack API.

[1264] Output: The collected data is sent to a server for analysis.

[1265] Specific operation: The user device retrieves information about a "dentist appointment on Saturday at 2 PM" from Google Calendar, detects keywords related to "planning a trip to Rome" from the web browser history, and receives an email containing information such as "a class reunion will be held at a nearby restaurant next week."

[1266] Step 2:

[1267] Profile Update

[1268] The server receives the data sent from the user terminal and updates the user profile based on the user's behavioral patterns and preferences.

[1269] Input: Calendar information, browsing history, email, and chat data sent from the user's device.

[1270] Data processing: Analyze data using Python's pandas and scikit-learn and update user profiles.

[1271] Output: Updated user profile.

[1272] What it does: The server parses the events retrieved from Google Calendar and adds meetings with colleagues and events with family to the user's profile.

[1273] Step 3:

[1274] emotion recognition

[1275] The emotion engine analyzes the user's emotions through voice, text, and facial recognition and sends the results to the server.

[1276] Input: User voice data, text data, and facial recognition data.

[1277] Data processing: Sentiment analysis using Google Cloud Speech-to-Text API, Amazon Transcribe, NLTK, Spacy, OpenCV, and AWS Rekognition.

[1278] Output: Parsed emotion information.

[1279] Specific operation: The emotion engine identifies the emotion "tired" from the user's voice call data and analyzes the chat content as "stressed."

[1280] Step 4:

[1281] Schedule Generation

[1282] The server automatically generates optimal private schedule proposals based on the updated user profile.

[1283] Input: Updated user profile and sentiment information.

[1284] Data processing: Use AI algorithms and machine learning libraries (scikit-learn, TensorFlow) to generate optimal schedules.

[1285] Output: The generated schedule proposal.

[1286] Specific behavior: If the user is in a "high stress" situation, the server will add "Yoga class on Saturday at 2 PM" to the schedule and suggest it.

[1287] Step 5:

[1288] Schedule notifications and confirmations

[1289] The user terminal receives the proposed schedule sent from the server and notifies the user.

[1290] Input: Schedule proposal sent from the server.

[1291] Data processing: Notify the user using on-screen display, push notification, or email notification functions.

[1292] Output: Notification to the user.

[1293] Specific operation: The user's device sends a notification saying "There is a yoga class on Saturday at 2 PM" and asks the user to confirm. After that, when the user presses the "Approve" button, the information is sent to the server.

[1294] Step 6:

[1295] Making a reservation

[1296] The server automatically makes the necessary reservations over the Internet based on the user's approval.

[1297] Input: User authorization information and associated booking information.

[1298] Data processing: We use Booking.com API and Expedia API to book accommodations, and Ticketmaster API to purchase event tickets.

[1299] Output: Confirmed booking.

[1300] Specific behavior: Once the user approves the yoga class, the server accesses the yoga studio's booking system (API) and completes the booking.

[1301] Step 7:

[1302] Notifications and Reminders

[1303] The user device will notify the user of the confirmed schedule and reservation details, and will also notify the user as a reminder when the cancellation deadline is approaching.

[1304] Input: Confirmed schedule and booking information.

[1305] Data Processing: Notify users and send reminders using on-screen, push, and email notifications.

[1306] Output: Notifications and reminders to the user.

[1307] What it does: The user's device notifies them of the details of their yoga class and sends them a reminder one hour before the class starts.

[1308] Step 8:

[1309] Automatic Cancellation

[1310] The server automatically cancels any reservations that the user has not confirmed by the deadline and notifies the user of the result.

[1311] Input: Cancellation information from the reservation system and confirmation information of users who are on time.

[1312] Data processing: Use the reservation system's API as appropriate to automate reservation cancellation operations.

[1313] Output: Notification of cancellation.

[1314] Specific operation: If the cancellation deadline for a yoga class has passed, the server automatically cancels the reservation and notifies the user's device of the result.

[1315] (Application example 2)

[1316] 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."

[1317] Today's busy lifestyles make it difficult for users to spend quality private time efficiently. It is also difficult for users to efficiently find products that match their emotions and preferences when shopping. Furthermore, to improve the in-store shopping experience, there is a demand for real-time information provision and product suggestions based on user emotions.

[1318] The specific processing by the specific processing unit 290 of the data processing device 12 in Application Example 2 is realized by the following means. In this invention, the server includes: means for collecting calendar information, browsing history, email, and chat data from the user terminal; means for transmitting the collected data to the server and updating the user profile; means for the server to automatically generate an optimal private schedule proposal based on the user profile; means for transmitting the generated schedule proposal to the user terminal and requesting the user's confirmation and approval; means for automatically making a reservation over the Internet based on the user's approval; means for notifying the user of the confirmed schedule and reservation details; means for sending a reminder to the user when the cancellation deadline is approaching and automatically canceling the reservation as necessary; means for analyzing the user's emotions using voice, text, and facial recognition and suggesting products based on the emotion information; and means for providing recommendation information and discount information in real time when the user enters a physical store. This allows users to spend quality private time even with their busy lifestyles, and significantly improves the shopping experience by receiving personalized product proposals and real-time information based on the user's emotions.

[1319] "User terminal" refers to a device used by a user, such as a smartphone, tablet, or PC.

[1320] "Calendar information" is information obtained from a calendar application that records a user's schedule and appointments.

[1321] "Browsing history" refers to data on the web pages and search history that a user has viewed on the Internet.

[1322] "Email" refers to the content and metadata of emails sent or received by a User.

[1323] "Chat data" refers to the content of communications on messaging applications and social media used by users.

[1324] A "server" is a computer system that analyzes data sent from user terminals, updates user profiles, and performs other processing.

[1325] A "user profile" is a data set that compiles information such as a user's behavioral patterns, interests, and emotional state.

[1326] "Emotion recognition" is a technology that analyzes a user's emotions through voice, text, facial recognition, etc.

[1327] "Schedule proposals" are suggestions for schedules and events that are optimal for a user, generated by the server based on the user profile.

[1328] "Real-time notifications" is a feature that provides instant information when a user enters a physical store.

[1329] "Recommended information" is information about products and services suggested based on the user's emotions and profile.

[1330] A system for implementing the present invention comprises the following major components:

[1331] 1. User Device:

[1332] A user terminal is a device such as a smartphone, tablet, or PC. These devices act as an interface that collects the user's calendar information, browsing history, email, and chat data and transmits that data to the server. They also act as an interface with the user, displaying schedule suggestions and notifications sent from the server.

[1333] 2. Server:

[1334] The server is a central computer system that analyzes data sent from user devices and updates user profiles. Based on the user profile, it automatically generates optimal private schedule proposals. Furthermore, it automatically executes reservations over the Internet based on the user's approval and notifies the user device of the confirmed schedule and reservation details.

[1335] 3. Emotion Engine:

[1336] The emotion engine analyzes the user's emotions through voice, text, and facial recognition, and sends the emotional information to a server. The emotional information is added to the user profile and is used to create personalized schedules and product recommendations.

[1337] 4. Real-time notification system:

[1338] When a user enters a physical store, the server sends real-time recommendation and discount information to the user's device, allowing the user to receive the most suitable product information and special offers on the spot.

[1339] Hardware and software used

[1340] Hardware:

[1341] Camera (to capture the user's face and recognize emotions)

[1342] Smartphones and smart glasses (user interfaces)

[1343] software:

[1344] OpenCV (a library for face recognition and image processing)

[1345] Requests (a library for communicating with the server)

[1346] Machine learning algorithms (user profile generation and automatic schedule generation)

[1347] Specific examples

[1348] For example, if a user has no plans for the next weekend, the user's device sends that information to the server. The emotion engine then analyzes the user's emotional information, such as their recent stress levels, and the server suggests a "hot spring trip." The user is notified of this suggestion, and when the user presses the "approval" button, the server automatically makes a reservation for the hot spring resort. If the reservation is successful, the information is sent to the user's device. Furthermore, when the user enters a shopping mall, discount information and recommended product information are displayed in real time on the user's device.

[1349] Prompt Sentence Examples

[1350] "Create a system that makes shopping suggestions based on emotion information to help users find the best private time for themselves despite their busy schedules. Recognize users' emotions and provide product suggestions and store information in real time based on that information."

[1351] In this way, the system of the present invention allows users to spend quality private time while eliminating cumbersome procedures, and also realizes personalized product proposals that take emotional information into consideration and the provision of information in real time.

[1352] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[1353] Step 1:

[1354] The user device collects calendar information, browsing history, email, and chat data. Specifically, data is obtained from the device's calendar application, browser history, email application, and chat application, and then preprocessed to extract a valid dataset and send it to the server. The input is the raw data from each application, and the output is the preprocessed data.

[1355] Step 2:

[1356] The server updates the user profile based on the received data. This profile includes the user's behavioral patterns, interests, schedule, etc., and updates each item in the profile using the data sent in the previous step. The input is the preprocessed data, and the output is the updated user profile.

[1357] Step 3:

[1358] The emotion engine analyzes emotional data such as the user's voice, text, and facial images. The emotion engine acquires voice and facial images from the user's device and uses an emotion recognition algorithm to determine the user's emotional state. The results are sent to the server. The input is voice data and facial images, and the output is data indicating the user's emotional state.

[1359] Step 4:

[1360] The server automatically generates optimal private schedule proposals based on the user profile and emotional data. Using a generative AI model, the server inputs the user profile and emotional information and proposes the optimal schedule for the user. The input is the updated user profile and emotional data, and the output is the generated schedule proposal.

[1361] Step 5:

[1362] The server sends the generated schedule proposal to the user's terminal and asks the user to confirm and approve it. Specifically, it displays a notification of the schedule proposal on the terminal, allowing the user to confirm it and send instructions for approval or modification. The input is the generated schedule proposal, and the output is the user's response.

[1363] Step 6:

[1364] Based on the user's approval, the server automatically makes the necessary reservations over the Internet. For example, it makes online reservations for accommodation or event tickets and sends the results to the user's device. The input is the schedule plan approved by the user, and the output is reservation confirmation information.

[1365] Step 7:

[1366] When a user enters a physical store, the server sends recommendation and discount information to the user's device in real time. Specifically, it uses the store's location information and in-store sensor information to detect that the user is inside the store and immediately notifies the user of relevant information. The input is the user's location information, and the output is real-time recommendation and discount information.

[1367] Step 8:

[1368] The server notifies the user's device of the confirmed schedule and reservation details, and sends a reminder when the cancellation deadline approaches. Furthermore, if the user does not respond by the deadline, the reservation is automatically canceled. The input is the confirmed schedule, reservation details, and the user's response, and the output is a reminder or cancellation confirmation.

[1369] 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.

[1370] 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.

[1371] 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.

[1372] [Fourth embodiment]

[1373] FIG. 7 shows an example of the configuration of a data processing system 410 according to the fourth embodiment.

[1374] 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.

[1375] 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).

[1376] 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.

[1377] 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.

[1378] 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).

[1379] 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.

[1380] 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.

[1381] 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.

[1382] 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.

[1383] 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.

[1384] 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.

[1385] 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."

[1386] The private life enrichment support system of the present invention is a system that supports users in spending quality private time even in the midst of a busy lifestyle. Specific embodiments of the system are described below.

[1387] System Configuration

[1388] This system consists of two main components: a user device and a server. The user device can be a smartphone, tablet, or PC and acts as the interface with the user. The server is the central computer system that analyzes data, generates schedules, and manages reservations.

[1389] Main features

[1390] 1. Data Collection:

[1391] The user's device collects calendar information, browsing history, email, and chat data. This involves obtaining schedule information from calendar applications, extracting keywords of interest from web browser browsing history, and analyzing the user's communication content from email and chat apps to extract interests and schedules.

[1392] 2. Profile Update:

[1393] The server receives the data sent from the user's device and updates the user profile based on the user's behavioral patterns and preferences, preparing to propose a personalized schedule.

[1394] 3. Schedule generation:

[1395] The server automatically generates optimal private schedule suggestions based on the updated user profile. Specifically, it plans trips and event options taking into account past behavioral patterns, current trends, and seasonal factors. The generated schedule suggestions are adjusted to match the user's hobbies and tendencies.

[1396] 4. Schedule Notification and Confirmation:

[1397] The user terminal receives the proposed schedule from the server and notifies the user, who then checks and approves the proposed schedule.

[1398] 5. Making a reservation:

[1399] With the user's approval, the server automatically makes the necessary reservations over the Internet, including reserving accommodations and purchasing event tickets. If the reservation is successful, the server notifies the user's device of the reservation information.

[1400] 6. Notifications and Reminders:

[1401] The user device will notify the user of the confirmed schedule and reservation details, and will also notify the user as a reminder when the cancellation deadline approaches.

[1402] 7. Automatic Cancellation:

[1403] Information is sent from the user's terminal to the server, and reservations that the user has not confirmed by the deadline are automatically canceled, preventing unnecessary reservation fees from being incurred.

[1404] Specific examples

[1405] For example, suppose a user is interested in "hot spring trips." The user's device retrieves the information "No plans for next weekend" from the calendar and detects keywords such as "hot springs" and "trips" from the search history of the web browser.

[1406] Based on this information, the server updates the user's profile to indicate that "the user is interested in hot spring trips" and proposes a "hot spring trip schedule for the following weekend." The user's device notifies the user of this proposed schedule, and when the user presses the approval button, the information is sent to the server, and the hot spring inn reservation is automatically made. The user is then notified of the confirmed reservation details and schedule. When the cancellation deadline approaches, the user is sent a reminder, and if they do not confirm within the deadline, the server automatically cancels the reservation.

[1407] In this way, the system of the present invention allows users to efficiently enjoy optimal private time without having to go through complicated procedures themselves.

[1408] The processing flow will be explained below.

[1409] Step 1:

[1410] The user terminal acquires calendar information, which includes an operation of accessing a calendar application and collecting information on appointments and free time entered by the user.

[1411] Step 2:

[1412] The user terminal acquires the browsing history of the web browser, which includes an operation of analyzing the search history for specific keywords (e.g., hot springs, travel).

[1413] Step 3:

[1414] The user terminal acquires email and chat data, which includes analyzing the contents of received emails and chat messages and extracting schedules and interests.

[1415] Step 4:

[1416] The user device consolidates all collected data into a single data set and sends it to the server, including calendar information, browsing history, email content, and chat messages.

[1417] Step 5:

[1418] The server receives data sent from the user's device, and collects information that reveals the user's behavioral patterns and preferences.

[1419] Step 6:

[1420] The server analyzes the received data and updates the user profile by using machine learning algorithms to learn the user's interests and tendencies and reflect the results in the profile.

[1421] Step 7:

[1422] The server automatically generates optimal private schedule proposals for each user based on the updated user profile, including planning that takes into account past behavioral patterns, current trends, and seasonal factors.

[1423] Step 8:

[1424] The server transmits the generated schedule proposal to the user terminal, allowing the user to check the proposed schedule proposal.

[1425] Step 9:

[1426] The user terminal receives the proposed schedule from the server and notifies the user, who then checks the proposed schedule and selects whether to approve or modify it.

[1427] Step 10:

[1428] When the user approves the proposed schedule, the information is sent from the user's device to the server, which triggers the server to start the next processing step.

[1429] Step 11:

[1430] With the user's approval, the server automatically makes the necessary reservations over the Internet, such as reserving accommodation or purchasing tickets to an event.

[1431] Step 12:

[1432] If the reservation is successful, the server sends the details to the user's terminal, allowing the user to check the reservation details.

[1433] Step 13:

[1434] The user terminal notifies the user of the confirmed schedule and reservation details. The user is informed that the schedule has been confirmed and the specific reservation contents.

[1435] Step 14:

[1436] When the cancellation deadline approaches, the user terminal will send a reminder to the user, urging the user to confirm or cancel the reservation within the deadline.

[1437] Step 15:

[1438] If the user does not confirm or take any action after the cancellation deadline has passed, that information is sent from the user terminal to the server.

[1439] Step 16:

[1440] The server automatically cancels the reservation. The user's terminal is notified that the cancellation has been completed, and the user is also notified of the cancellation.

[1441] Through these steps, the system of the present invention allows users to enjoy quality private time while saving time and effort.

[1442] Example 1

[1443] 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."

[1444] Today's busy lifestyles make it difficult and cumbersome for users to plan and book activities that allow them to spend quality time. Manual scheduling and booking procedures, in particular, are extremely time-consuming and laborious, placing a significant burden on users. Furthermore, while it is necessary to accurately understand users' past behavioral patterns and current interests in order to propose plans that match their interests and preferences, there is currently a lack of effective methods for achieving this.

[1445] 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.

[1446] In this invention, the server includes means for collecting schedule management information, web history, email, and communication application data from the user terminal, means for transmitting the collected data to the server and updating the user profile, means for the server to automatically generate an optimal personalized schedule proposal based on the user profile, means for transmitting the generated schedule proposal to the user terminal and requesting the user's confirmation and approval, means for automatically executing the reservation over the network based on the user's approval, means for notifying the user of the confirmed schedule and reservation details, and means for sending a reminder to the user when the cancellation deadline is approaching and automatically canceling the reservation as necessary. This allows users to efficiently enjoy high-quality private time without going through complicated procedures.

[1447] "User terminal" means an electronic device used by a user, including a smartphone, tablet, or personal computer.

[1448] "Date management information" refers to schedule and appointment information stored in a user's calendar or schedule management application.

[1449] "Web history" refers to the record of websites and search queries a user has visited through their internet browser.

[1450] "Email" refers to the content of communication messages sent or received by a User through the Email Service, as well as their metadata.

[1451] "Communications application" refers to a software application that enables text chat, voice, or video calls between users, including, for example, messaging apps and social networking apps.

[1452] "Server" refers to the central computer system that analyzes data, updates profiles, generates schedules and manages reservations.

[1453] "User Profile" refers to a database entry created based on a user's behavioral patterns and preferences.

[1454] "Personalized schedule suggestions" refers to private activity plans suggested based on the user's hobbies, interests, and past behavioral data.

[1455] "Network" refers to a communications infrastructure that allows computers and other devices to share information.

[1456] A "reminder" is a notification or alert that prompts the user to take a specific action.

[1457] A "generative AI model" refers to an artificial intelligence algorithm that analyzes user data and makes predictions and suggestions.

[1458] The system of this invention is a support system for efficiently enriching users' private time. Its specific configuration consists of two main components: a user terminal and a server. The user terminal is a smartphone, tablet, or PC, and functions as an interface with the user. The server is a central computer system that performs data analysis, profile updates, schedule generation, and reservation management.

[1459] Data collection implementation:

[1460] The user's device collects the user's schedule information, web history, email, and communication application data. Specifically, for example, it retrieves calendar information using the Google Calendar API, analyzes search history using a Chrome extension, and also analyzes the Gmail IMAP API and message content from communication applications.

[1461] Profile update implementation:

[1462] The server receives data in JSON format sent from the user device via the HTTPS protocol, then analyzes the data using Python's Pandas library and updates the user profile based on the user's behavioral patterns and preferences.

[1463] Schedule generation embodiment:

[1464] The server automatically generates optimal personalized schedule suggestions using a generative AI model (e.g., GPT-3) based on the updated user profile. The AI ​​creates suggestions by inputting a prompt sentence into the generative AI model: "Please suggest plans for next weekend. My recent browser history includes 'hot springs' and 'travel.'"

[1465] Schedule notification and confirmation implementation:

[1466] The server sends the generated schedule proposal in JSON format to the user's device, which then notifies the user via mobile push notification or in-app notification and displays an "Approve" button on the app's UI, allowing the user to review and approve the schedule proposal.

[1467] Reservation form:

[1468] When the user presses the approval button, the information is sent to the server. The server then calls the API of the travel site or facility reservation system to make the reservation for the specified dates. If the reservation is successful, the information is sent back to the user's device in JSON format.

[1469] Notification and reminder implementation examples:

[1470] The user's device will notify them of the confirmed schedule and reservation details via push notification, and will also use the timer function in the calendar app to send reminders when the cancellation deadline approaches.

[1471] Implementation of automatic cancellation:

[1472] The server checks the cancellation deadline, and if the user does not confirm by the deadline, it calls the reservation system's API to automatically process the cancellation.

[1473] This system allows users to easily find the best plan based on their interests and schedule, eliminating complicated procedures and allowing them to enjoy relaxing private time efficiently.

[1474] The flow of the identification process in the first embodiment will be described with reference to FIG.

[1475] Step 1:

[1476] The user terminal acquires the calendar information.

[1477] Specific operation: The user device uses the Google Calendar API to obtain the user's schedule information.

[1478] Input: Google Calendar API credentials.

[1479] Output: Current user's schedule information in JSON format.

[1480] The calendar information includes the user's schedule and free time, and is used for planning purposes in subsequent processes.

[1481] Step 2:

[1482] The user terminal acquires the web history.

[1483] What it does: It uses a Chrome extension to analyze the search history from the past week and extract keywords such as "hot springs" and "travel."

[1484] Input: Web browser history data.

[1485] Output: A list of keywords that indicate user interest.

[1486] Keywords extracted from web history are used for subsequent planning as information reflecting the user's current interests.

[1487] Step 3:

[1488] The user terminal analyzes the messages in the email and communication applications.

[1489] What it does: It uses Gmail's IMAP API to analyze the subject and body of incoming emails and extract specific keywords, as well as chat messages from communication applications.

[1490] Input: Message content for email and communication applications.

[1491] Output: A list of keywords related to the user's interests and agenda.

[1492] Data extracted from emails and message content provides valuable information that reflects users' lifestyles and interests.

[1493] Step 4:

[1494] The server receives and analyzes the collected data.

[1495] Specific operation: Receives data sent from the user terminal via HTTPS in JSON format, then uses Python's Pandas library to store the data in a data frame and analyze it.

[1496] Input: Calendar information, web history, email, and data from communication applications.

[1497] Output: A user profile based on user behavior patterns and preferences.

[1498] By analyzing the collected data, we understand user trends and interests and update their profiles.

[1499] Step 5:

[1500] The server generates an optimal personalized schedule proposal.

[1501] Specific operation: Based on the updated user profile, a prompt sentence is input into a generative AI model (e.g., GPT-3), and the AI ​​generates a proposed schedule.

[1502] Input: User profile, prompt (e.g. "Please suggest something for next weekend. My recent browser history includes 'hot springs' and 'travel'.").

[1503] Output: Optimal personalized schedule proposal.

[1504] The generated schedule proposals are adjusted to match the user's tastes and preferences.

[1505] Step 6:

[1506] The server transmits the generated schedule proposal to the user terminal.

[1507] Specific operation: The generated schedule proposal is sent to the user's device in JSON format.

[1508] Input: Optimal personalized schedule suggestions.

[1509] Output: The proposed schedule sent to the user.

[1510] The user terminal receives this information and notifies the user.

[1511] Step 7:

[1512] The user terminal notifies the user of the proposed schedule and requests approval.

[1513] What it does: Inform users of the new schedule proposal via mobile push notifications and in-app notifications. Show an "Approve" button in the app UI.

[1514] Input: Schedule proposal sent from the server.

[1515] Output: The proposed schedule notified to the user.

[1516] Users can review and approve the proposed schedule.

[1517] Step 8:

[1518] The user reviews and approves the proposed schedule.

[1519] Specific behavior: Operate the "Approve" button on the application's UI.

[1520] Input: User decision.

[1521] Output: The approval result is sent to the server.

[1522] The approved information is passed to the server and the next step is taken.

[1523] Step 9:

[1524] The server receives the user's approval and executes the reservation.

[1525] Specific operation: Calls the API of a travel site or facility reservation system and makes a reservation for the specified dates.

[1526] Input: User approval information, proposed schedule.

[1527] Output: Booking completion information.

[1528] If the reservation is successful, the information will be notified to the user in the next step.

[1529] Step 10:

[1530] The server sends the reservation details to the user terminal.

[1531] Specific operation: Sends reservation details in JSON format to the user's device.

[1532] Input: Booking completion information.

[1533] Output: Booking details sent to the user.

[1534] Users can check the reservation details.

[1535] Step 11:

[1536] The user terminal notifies the user of the reservation details and schedule.

[1537] Specific behavior: Send a push notification to the user to inform them of the reservation details.

[1538] Input: Booking details.

[1539] Output: Booking details and schedule notified to user.

[1540] The user will receive a notification to confirm.

[1541] Step 12:

[1542] The user terminal sends a reminder when the cancellation deadline approaches.

[1543] What it does: Uses the timer feature in your calendar app to send you a reminder when the cancellation deadline approaches.

[1544] Input: Reservation details, cancellation deadline.

[1545] Output: Reminder notification.

[1546] A reminder is set for the user to take note of.

[1547] Step 13:

[1548] The server will automatically cancel any reservations that the user does not confirm in time.

[1549] Specific operation: Checks the cancellation deadline, and if the deadline has passed, calls the reservation system's API to process the cancellation.

[1550] Input: Cancellation deadline information.

[1551] Output: Reservation cancellation notice.

[1552] Unnecessary reservations are automatically cancelled to prevent unnecessary costs.

[1553] (Application example 1)

[1554] 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."

[1555] For users who lead busy lifestyles, it is difficult to secure quality private time. Furthermore, meal preparation also requires time, making overall time management extremely cumbersome. The objective of this invention is to provide a system that allows users to efficiently manage their schedules and receive meal suggestions and offers tailored to their lifestyles.

[1556] 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.

[1557] In this invention, the server includes means for collecting calendar information, browsing history, email and chat data from the user terminal, means for sending the collected data to the server and updating the user profile, means for the server to automatically generate an optimal private schedule proposal based on the user profile, means for sending the generated schedule proposal to the user terminal and requesting the user's confirmation and approval, means for automatically making a reservation over the Internet based on the user's approval, means for notifying the user of the confirmed schedule and reservation details, means for sending a reminder to the user when the cancellation deadline is approaching and automatically canceling the reservation as necessary, and means for suggesting optimal food delivery based on the user's dietary preferences and schedule and automatically ordering. This allows users to spend quality private time without the hassle of time management and meals.

[1558] "User terminal" means a device that acts as an interface with a user and collects calendar information, browsing history, email and chat data.

[1559] "Calendar information" refers to schedule information including details of the user's plans and events.

[1560] "Browsing history" refers to the history of web pages a user has accessed on the Internet.

[1561] "Email" means an electronic message sent or received over the Internet.

[1562] "Chat Data" means messages exchanged between users through chat applications.

[1563] A "server" is a central computer system that analyzes data, generates schedules, and manages reservations.

[1564] "User profile" means profile information that reflects a user's behavioral patterns and preferences, generated based on collected data.

[1565] "Private schedule proposals" are automatically generated schedule suggestions tailored to the user's lifestyle.

[1566] The "Internet" is an international network system that connects networks around the world and enables the exchange of information.

[1567] "Reservation" means reserving a specific date, time, location, service, etc. in advance.

[1568] A "reminder" is a notification sent to the user to inform them of important events or deadlines.

[1569] "Food delivery" refers to a service that allows users to have meals delivered to a specific location and time.

[1570] The present invention is a system for supporting users in enriching their meals and private time, and is implemented using a user terminal and a server. A detailed description of the system is provided below.

[1571] Main functions and configuration

[1572] User Device

[1573] User devices can be smartphones, tablets or PCs. They act as an interface between the user and the system and collect data such as:

[1574] Calendar Information

[1575] Browsing history

[1576] Email

[1577] Chat Data

[1578] This collected data is sent to a server, where a personalized profile is created based on the user's real-time information.

[1579] server

[1580] The server plays a key role in analyzing data, updating user profiles, and automatically generating private schedule suggestions and food delivery suggestions. Specifically, it performs the following tasks:

[1581] 1. Data analysis and profile update: Analyze user behavior patterns based on the received data and update the profile.

[1582] 2. Schedule Generation: Generates an optimal private schedule based on the updated profile, taking into account past behavioral patterns, current trends, and seasonal factors.

[1583] 3. Food delivery suggestions: Taking into account the user's food preferences and schedule, we suggest the most suitable food delivery options.

[1584] Detailed processing

[1585] Data collection and profile updates

[1586] Data collected from the user's device is sent to a server, which uses it to update the user profile, for example by retrieving the user's schedule from their smartphone's calendar information and emails, or analyzing their food preferences from their browser history.

[1587] Schedule Generation and Notification

[1588] The server generates a private schedule proposal based on the updated profile, which is then sent to the user's device, where the user can review and approve the proposal, allowing the user to plan quality private time.

[1589] Food delivery suggestions and auto-ordering

[1590] Once the user approves the proposed schedule, the server generates food delivery suggestions. It suggests meals that match the user's preferences and automatically places the order once the user confirms. For example, if the user has free time in their schedule, it will suggest meals they might like based on their past history and notify their smartphone of the suggestions.

[1591] Example

[1592] For example, if a user with free weekend plans has recently frequently searched for "pasta dishes," the system will detect this and generate a schedule suggesting a pasta set for lunch next Saturday. If the user approves this suggestion, food delivery will be automatically ordered at the specified time.

[1593] Example prompts for generative AI models

[1594] "Generate the following food delivery suggestions. The user's preferences are sushi and soup, and data collection indicates that there is availability for lunch today. Please provide the best suggestions."

[1595] In this way, the server automatically optimizes the user's private time and meals, allowing them to live a more efficient and fulfilling life.

[1596] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[1597] Step 1:

[1598] The user's device collects calendar information, browsing history, email, and chat data. Specifically, it obtains the user's schedule from the smartphone's calendar app and extracts information about visited websites from the internet browser history. It also collects related data from email and chat applications. The input is various data stored on the user's device, and the output is a data package sent to the server.

[1599] Step 2:

[1600] The server receives and analyzes data sent from the user's device. The received data includes the user's calendar information, browsing history, email content, and chat content. The server uses this data to update the user profile. For example, it can analyze the user's interests from search history over a certain period of time and reflect this in the profile. The input is a set of data sent from the user's device, and the output is an updated user profile.

[1601] Step 3:

[1602] The server automatically generates optimal private schedule proposals based on the updated user profile. Schedule proposals are created taking into account past behavioral patterns and preferences, current trends, seasonal factors, and more. A generative AI model is then used to predict future behavioral patterns from past data. The input is the latest user profile, and the output is the generated private schedule proposal.

[1603] Step 4:

[1604] The server sends the generated private schedule proposal to the user's terminal. The user's terminal notifies the user of the received schedule proposal and asks for confirmation and approval of the contents. The input is the schedule proposal sent from the server, and the output is the notification to the user's terminal.

[1605] Step 5:

[1606] The user checks and approves the proposed schedule on the terminal. When the user presses the approval button, the confirmation information is sent to the server. The input is the user's confirmation operation, and the output is the approval information.

[1607] Step 6:

[1608] The server automatically executes reservations over the Internet based on the user's approval. For example, it orders food delivery based on available times. This process uses the APIs of reservation systems and delivery services. The input is the user's approval information, and the output is the processed reservation information.

[1609] Step 7:

[1610] The server notifies the user of the confirmed schedule and reservation details. The user terminal receives this information and notifies the user. The input is the confirmed schedule and reservation information, and the output is the notification to the user.

[1611] Step 8:

[1612] The server sends a reminder to the user when the cancellation deadline is approaching. If the user does not confirm by the deadline, the server automatically cancels the reservation. This process involves another confirmation process with the user interface. The input is information about the cancellation deadline, and the output is the reminder notification and cancellation process.

[1613] These steps will enable efficient schedule management and meal suggestions and offerings that fit the user's lifestyle.

[1614] 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.

[1615] The private life enrichment support system of the present invention is a system that supports users in spending quality private time even in the midst of a busy lifestyle. Specific embodiments of the system are described below.

[1616] System Configuration

[1617] This system consists of three main components: a user device, a server, and an emotion engine. The user device is a smartphone, tablet, or PC, and functions as the interface with the user. The server is a central computer system that analyzes data, generates schedules, and manages reservations. The emotion engine recognizes and analyzes user emotions and reflects the results throughout the system.

[1618] Main features

[1619] 1. Data Collection:

[1620] The user's device collects calendar information, browsing history, email, and chat data. Schedule information is obtained from the calendar application, and keywords of interest are extracted from the web browser's browsing history. The user's communication content from email and chat applications is also analyzed to extract information about their interests and schedules.

[1621] 2. Profile Update:

[1622] The server receives data sent from the user's device and updates the user profile based on the user's behavioral patterns and preferences. It also reflects emotional information received from the emotion engine.

[1623] 3. Emotion recognition:

[1624] The emotion engine analyzes the user's emotions through voice, text, facial recognition, etc. The analyzed emotion information is sent to the server and added to the user profile.

[1625] 4. Schedule generation:

[1626] The server automatically generates a private schedule that is optimal for the user based on the updated user profile. This also takes into account emotional information, providing a schedule that corresponds to the user's emotional state, for example by suggesting relaxation activities if the user is feeling stressed.

[1627] 5. Schedule Notification and Confirmation:

[1628] The user terminal receives the proposed schedule from the server and notifies the user, who then checks the proposed schedule and selects whether to approve or modify it.

[1629] 6. Making a reservation:

[1630] With the user's approval, the server automatically makes the necessary reservations over the Internet, such as reserving accommodation or purchasing event tickets. If the reservation is successful, the reservation information is sent to the user's device.

[1631] 7. Notifications and Reminders:

[1632] The user device will notify the user of the confirmed schedule and reservation details, and will also notify the user as a reminder when the cancellation deadline approaches.

[1633] 8. Automatic Cancellation:

[1634] Information is sent from the user's terminal to the server, and reservations that the user did not confirm by the deadline are automatically canceled. The user is notified that the cancellation has been completed.

[1635] Specific examples

[1636] For example, suppose a user is interested in "hot spring trips." The user's device retrieves the information "No plans for next weekend" from the calendar and detects keywords such as "hot springs" and "trips" from the web browser search history. Meanwhile, the emotion engine analyzes emotions such as "tiredness" and "stress" from the user's recent chat history and voice input.

[1637] Based on this information, the server updates the user's profile to indicate that "the user is interested in hot spring trips and needs relaxation," and suggests a "hot spring trip schedule for next weekend." The user's device notifies the user of this proposed schedule, and when the user presses the approval button, the information is sent to the server, and the hot spring inn reservation is automatically made. The user is then notified of the confirmed reservation details and schedule. When the cancellation deadline approaches, the user is sent a reminder, and if they do not confirm within the deadline, the server automatically cancels the reservation.

[1638] In this way, the system of the present invention allows users to efficiently enjoy their optimal private time without having to go through complicated procedures. Furthermore, by combining it with an emotion engine, it is possible to provide a more personalized experience according to the user's emotional state.

[1639] The processing flow will be explained below.

[1640] Step 1:

[1641] The user terminal acquires calendar information, which includes an operation of accessing a calendar application and collecting information on appointments and free time entered by the user.

[1642] Step 2:

[1643] The user terminal acquires the browsing history of the web browser, which includes an operation of analyzing the search history for specific keywords (e.g., hot springs, travel).

[1644] Step 3:

[1645] The user terminal acquires email and chat data, which includes analyzing the contents of received emails and chat messages and extracting schedules and interests.

[1646] Step 4:

[1647] The emotion engine analyzes user emotions based on user voice, text, and facial recognition data, including using emotion analysis algorithms to identify a user's emotional state (e.g., joy, stress, fatigue).

[1648] Step 5:

[1649] The user device integrates all the data collected and analyzed in steps 1 to 4 into a single dataset and sends it to the server. This dataset includes calendar information, browsing history, email content, chat messages, and emotional information.

[1650] Step 6:

[1651] The server receives data sent from the user's device, and collects information that reveals the user's behavioral patterns, preferences, and emotional state.

[1652] Step 7:

[1653] The server analyzes the received data and updates the user profile. Specifically, it uses machine learning and sentiment analysis algorithms to learn the user's interests, tendencies, and emotional state, and updates the profile accordingly.

[1654] Step 8:

[1655] The server automatically generates a private schedule that is optimal for the user based on the updated user profile. This also takes into account emotional information, providing a schedule that corresponds to the user's emotional state, for example by suggesting relaxation activities if the user is feeling stressed.

[1656] Step 9:

[1657] The server transmits the generated schedule proposal to the user terminal, allowing the user to check the proposed schedule proposal.

[1658] Step 10:

[1659] The user terminal receives the proposed schedule from the server and notifies the user, who then checks the proposed schedule and selects whether to approve or modify it.

[1660] Step 11:

[1661] When the user approves the proposed schedule, the information is sent from the user's device to the server, which triggers the server to start the next processing step.

[1662] Step 12:

[1663] With the user's approval, the server automatically makes the necessary reservations over the Internet, such as reserving accommodation or purchasing tickets to an event.

[1664] Step 13:

[1665] If the reservation is successful, the server sends the details to the user's terminal, allowing the user to check the reservation details.

[1666] Step 14:

[1667] The user terminal notifies the user of the confirmed schedule and reservation details. The user is informed that the schedule has been confirmed and the specific reservation contents.

[1668] Step 15:

[1669] When the cancellation deadline approaches, the user terminal will send a reminder to the user, urging the user to confirm or cancel the reservation within the deadline.

[1670] Step 16:

[1671] If the user does not confirm or take any action after the cancellation deadline has passed, that information is sent from the user terminal to the server.

[1672] Step 17:

[1673] The server automatically cancels the reservation. The user's terminal is notified that the cancellation has been completed, and the user is also notified of the cancellation.

[1674] Through these steps, the system of the present invention allows users to enjoy quality private time while saving time. By combining it with an emotion engine, it is possible to provide a more personalized experience according to the user's emotional state.

[1675] Example 2

[1676] 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."

[1677] In today's society, it is difficult for users to find quality private time amid their busy lifestyles. In particular, tasks such as schedule management and booking reservations can be time-consuming and can increase users' stress. Creating a personalized schedule that takes into account users' emotional state is also a challenge.

[1678] 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.

[1679] In this invention, the server includes means for collecting calendar information, browsing history, email and chat data from the user terminal, means for transmitting the collected data to the server and updating the user profile, means for analyzing the user's emotional state using an emotion engine, means for the server to automatically generate an optimal private schedule proposal based on the user profile and emotional information, means for transmitting the generated schedule proposal to the user terminal and requesting the user's confirmation and approval, means for automatically making a reservation over the Internet based on the user's approval, means for notifying the user of the confirmed schedule and reservation details, and means for sending a reminder to the user when the cancellation deadline is approaching and automatically canceling the reservation as necessary. This enables the user to efficiently enjoy optimal private time according to their emotional state without going through complicated procedures.

[1680] "User terminal" refers to a device used by a user, such as a smartphone, tablet, or PC, and is an interface device that has means for collecting calendar information, browsing history, email, and chat data.

[1681] A "server" is a central computer system that analyzes data, updates profiles, generates schedules, and manages reservations, and processes data sent from user terminals to provide various services.

[1682] An "emotion engine" refers to a device or software that analyzes a user's emotions through voice, text, facial recognition, etc., and sends the results to a server.

[1683] A "user profile" is a collection of data that reflects a user's behavioral patterns, preferences, and emotional state, and is information that the server uses to generate an optimal schedule.

[1684] "Schedule proposal" refers to the proposed private schedule automatically generated by the server based on the user profile and emotional information.

[1685] "Reservation" refers to the procedure for various services (e.g., reserving accommodation, purchasing event tickets, etc.) carried out over the Internet based on the user's authorization.

[1686] "Reminders" are notifications sent to users when the cancellation deadline approaches, helping them to remember important tasks and schedules.

[1687] The private life enrichment support system of the present invention is a system that supports users in spending quality private time even in the midst of a busy lifestyle. This system consists of three main components: a user terminal, a server, and an emotion engine.

[1688] System Configuration

[1689] 1. User Device:

[1690] The user device is a smartphone, tablet, or PC that acts as an interface with the user. The user device collects calendar information, browsing history, email, and chat data and sends it to the server using a variety of technologies, including Android's Calendar API, iOS's EventKit, Chrome's History API, Gmail API, Microsoft Graph API, LINE's Message API, and Slack API.

[1691] 2. Server:

[1692] The server is a central computer system that analyzes data, generates schedules, and manages reservations. The server updates user profiles based on data sent from user devices. It also reflects emotional information received from the emotion engine in the profiles. Python's pandas and scikit-learn are used for data analysis, and scikit-learn and TensorFlow are used for machine learning algorithms.

[1693] 3. Emotion Engine:

[1694] The emotion engine analyzes the user's voice, text, and facial recognition. It uses Google Cloud Speech-to-Text API and Amazon Transcribe for voice analysis, NLTK and Spacy for text analysis, and OpenCV and AWS Rekognition for facial recognition, and sends the analyzed emotion information to the server.

[1695] System Operation Overview

[1696] User device: The user device collects information such as calendar information, browsing history, emails, and chat data, and sends this data to the server.

[1697] Server: The server analyzes the data received from the user device and updates the user profile. It also reflects emotional information from the emotion engine in the profile. It then automatically generates an optimal private schedule proposal based on the profile and emotional information and sends it to the user device.

[1698] Emotion Engine: The emotion engine analyzes the user's emotions through voice, text, and facial recognition, and sends the results to the server.

[1699] Specific examples

[1700] For example, suppose a user is interested in "hot spring trips." The user's device retrieves the information "No plans for next weekend" from the calendar and detects keywords such as "hot springs" and "travel" from the web browser search history. The device also extracts the user's interests from email content and chat data. Meanwhile, the emotion engine analyzes the user's emotional state, such as "tiredness" or "stress," from the user's recent chat history and voice input.

[1701] Based on this information, the server updates the user profile, determining that "the user is interested in hot spring trips and needs relaxation," and proposes a "hot spring trip schedule for next weekend." The user's device notifies the user of this proposed schedule, and when the user presses the approval button, the information is sent to the server, and the hot spring inn reservation is automatically made. The user is then notified of the confirmed reservation details and schedule. In addition, as the cancellation deadline approaches, the user is sent a reminder, and if the reservation is not confirmed within the deadline, the server automatically cancels the reservation.

[1702] Prompt Sentence Examples

[1703] "Plan a trip to the hot springs next weekend."

[1704] "I'm feeling stressed. Please suggest a relaxation schedule."

[1705] "Suggest a relaxing activity for Saturday afternoon."

[1706] In this way, the system of the present invention efficiently provides optimal private time without requiring the user's effort, and provides a personalized experience that corresponds to the user's emotional state.

[1707] The flow of the identification process in the second embodiment will be described with reference to FIG.

[1708] Step 1:

[1709] Data collection

[1710] The user terminal collects calendar information, browsing history, email and chat data.

[1711] Input: Calendar information, browsing history, emails, and chat data stored on the user's device.

[1712] Data processing: Data is acquired using the Android Calendar API, iOS EventKit, Chrome History API, Gmail API, Microsoft Graph API, LINE Message API, and Slack API.

[1713] Output: The collected data is sent to a server for analysis.

[1714] Specific operation: The user device retrieves information about a "dentist appointment on Saturday at 2 PM" from Google Calendar, detects keywords related to "planning a trip to Rome" from the web browser history, and receives an email containing information such as "a class reunion will be held at a nearby restaurant next week."

[1715] Step 2:

[1716] Profile Update

[1717] The server receives the data sent from the user terminal and updates the user profile based on the user's behavioral patterns and preferences.

[1718] Input: Calendar information, browsing history, email, and chat data sent from the user's device.

[1719] Data processing: Analyze data using Python's pandas and scikit-learn and update user profiles.

[1720] Output: Updated user profile.

[1721] What it does: The server parses the events retrieved from Google Calendar and adds meetings with colleagues and events with family to the user's profile.

[1722] Step 3:

[1723] emotion recognition

[1724] The emotion engine analyzes the user's emotions through voice, text, and facial recognition and sends the results to the server.

[1725] Input: User voice data, text data, and facial recognition data.

[1726] Data processing: Sentiment analysis using Google Cloud Speech-to-Text API, Amazon Transcribe, NLTK, Spacy, OpenCV, and AWS Rekognition.

[1727] Output: Parsed emotion information.

[1728] Specific operation: The emotion engine identifies the emotion "tired" from the user's voice call data and analyzes the chat content as "stressed."

[1729] Step 4:

[1730] Schedule Generation

[1731] The server automatically generates optimal private schedule proposals based on the updated user profile.

[1732] Input: Updated user profile and sentiment information.

[1733] Data processing: Use AI algorithms and machine learning libraries (scikit-learn, TensorFlow) to generate optimal schedules.

[1734] Output: The generated schedule proposal.

[1735] Specific behavior: If the user is in a "high stress" situation, the server will add "Yoga class on Saturday at 2 PM" to the schedule and suggest it.

[1736] Step 5:

[1737] Schedule notifications and confirmations

[1738] The user terminal receives the proposed schedule sent from the server and notifies the user.

[1739] Input: Schedule proposal sent from the server.

[1740] Data processing: Notify the user using on-screen display, push notification, or email notification functions.

[1741] Output: Notification to the user.

[1742] Specific operation: The user's device sends a notification saying "There is a yoga class on Saturday at 2 PM" and asks the user to confirm. After that, when the user presses the "Approve" button, the information is sent to the server.

[1743] Step 6:

[1744] Making a reservation

[1745] The server automatically makes the necessary reservations over the Internet based on the user's approval.

[1746] Input: User authorization information and associated booking information.

[1747] Data processing: We use Booking.com API and Expedia API to book accommodations, and Ticketmaster API to purchase event tickets.

[1748] Output: Confirmed booking.

[1749] Specific behavior: Once the user approves the yoga class, the server accesses the yoga studio's booking system (API) and completes the booking.

[1750] Step 7:

[1751] Notifications and Reminders

[1752] The user device will notify the user of the confirmed schedule and reservation details, and will also notify the user as a reminder when the cancellation deadline is approaching.

[1753] Input: Confirmed schedule and booking information.

[1754] Data Processing: Notify users and send reminders using on-screen, push, and email notifications.

[1755] Output: Notifications and reminders to the user.

[1756] What it does: The user's device notifies them of the details of their yoga class and sends them a reminder one hour before the class starts.

[1757] Step 8:

[1758] Automatic Cancellation

[1759] The server automatically cancels any reservations that the user has not confirmed by the deadline and notifies the user of the result.

[1760] Input: Cancellation information from the reservation system and confirmation information of users who are on time.

[1761] Data processing: Use the reservation system's API as appropriate to automate reservation cancellation operations.

[1762] Output: Notification of cancellation.

[1763] Specific operation: If the cancellation deadline for a yoga class has passed, the server automatically cancels the reservation and notifies the user's device of the result.

[1764] (Application example 2)

[1765] 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."

[1766] Today's busy lifestyles make it difficult for users to spend quality private time efficiently. It is also difficult for users to efficiently find products that match their emotions and preferences when shopping. Furthermore, to improve the in-store shopping experience, there is a demand for real-time information provision and product suggestions based on user emotions.

[1767] The specific processing by the specific processing unit 290 of the data processing device 12 in Application Example 2 is realized by the following means. In this invention, the server includes: means for collecting calendar information, browsing history, email, and chat data from the user terminal; means for transmitting the collected data to the server and updating the user profile; means for the server to automatically generate an optimal private schedule proposal based on the user profile; means for transmitting the generated schedule proposal to the user terminal and requesting the user's confirmation and approval; means for automatically making a reservation over the Internet based on the user's approval; means for notifying the user of the confirmed schedule and reservation details; means for sending a reminder to the user when the cancellation deadline is approaching and automatically canceling the reservation as necessary; means for analyzing the user's emotions using voice, text, and facial recognition and suggesting products based on the emotion information; and means for providing recommendation information and discount information in real time when the user enters a physical store. This allows users to spend quality private time even with their busy lifestyles, and significantly improves the shopping experience by receiving personalized product proposals and real-time information based on the user's emotions.

[1768] "User terminal" refers to a device used by a user, such as a smartphone, tablet, or PC.

[1769] "Calendar information" is information obtained from a calendar application that records a user's schedule and appointments.

[1770] "Browsing history" refers to data on the web pages and search history that a user has viewed on the Internet.

[1771] "Email" refers to the content and metadata of emails sent or received by a User.

[1772] "Chat data" refers to the content of communications on messaging applications and social media used by users.

[1773] A "server" is a computer system that analyzes data sent from user terminals, updates user profiles, and performs other processing.

[1774] A "user profile" is a data set that compiles information such as a user's behavioral patterns, interests, and emotional state.

[1775] "Emotion recognition" is a technology that analyzes a user's emotions through voice, text, facial recognition, etc.

[1776] "Schedule proposals" are suggestions for schedules and events that are optimal for a user, generated by the server based on the user profile.

[1777] "Real-time notifications" is a feature that provides instant information when a user enters a physical store.

[1778] "Recommended information" is information about products and services suggested based on the user's emotions and profile.

[1779] A system for implementing the present invention comprises the following major components:

[1780] 1. User Device:

[1781] A user terminal is a device such as a smartphone, tablet, or PC. These devices act as an interface that collects the user's calendar information, browsing history, email, and chat data and transmits that data to the server. They also act as an interface with the user, displaying schedule suggestions and notifications sent from the server.

[1782] 2. Server:

[1783] The server is a central computer system that analyzes data sent from user devices and updates user profiles. Based on the user profile, it automatically generates optimal private schedule proposals. Furthermore, it automatically executes reservations over the Internet based on the user's approval and notifies the user device of the confirmed schedule and reservation details.

[1784] 3. Emotion Engine:

[1785] The emotion engine analyzes the user's emotions through voice, text, and facial recognition, and sends the emotional information to a server. The emotional information is added to the user profile and is used to create personalized schedules and product recommendations.

[1786] 4. Real-time notification system:

[1787] When a user enters a physical store, the server sends real-time recommendation and discount information to the user's device, allowing the user to receive the most suitable product information and special offers on the spot.

[1788] Hardware and software used

[1789] Hardware:

[1790] Camera (to capture the user's face and recognize emotions)

[1791] Smartphones and smart glasses (user interfaces)

[1792] software:

[1793] OpenCV (a library for face recognition and image processing)

[1794] Requests (a library for communicating with the server)

[1795] Machine learning algorithms (user profile generation and automatic schedule generation)

[1796] Specific examples

[1797] For example, if a user has no plans for the next weekend, the user's device sends that information to the server. The emotion engine then analyzes the user's emotional information, such as their recent stress levels, and the server suggests a "hot spring trip." The user is notified of this suggestion, and when the user presses the "approval" button, the server automatically makes a reservation for the hot spring resort. If the reservation is successful, the information is sent to the user's device. Furthermore, when the user enters a shopping mall, discount information and recommended product information are displayed in real time on the user's device.

[1798] Prompt Sentence Examples

[1799] "Create a system that makes shopping suggestions based on emotion information to help users find the best private time for themselves despite their busy schedules. Recognize users' emotions and provide product suggestions and store information in real time based on that information."

[1800] In this way, the system of the present invention allows users to spend quality private time while eliminating cumbersome procedures, and also realizes personalized product proposals that take emotional information into consideration and the provision of information in real time.

[1801] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[1802] Step 1:

[1803] The user device collects calendar information, browsing history, email, and chat data. Specifically, data is obtained from the device's calendar application, browser history, email application, and chat application, and then preprocessed to extract a valid dataset and send it to the server. The input is the raw data from each application, and the output is the preprocessed data.

[1804] Step 2:

[1805] The server updates the user profile based on the received data. This profile includes the user's behavioral patterns, interests, schedule, etc., and updates each item in the profile using the data sent in the previous step. The input is the preprocessed data, and the output is the updated user profile.

[1806] Step 3:

[1807] The emotion engine analyzes emotional data such as the user's voice, text, and facial images. The emotion engine acquires voice and facial images from the user's device and uses an emotion recognition algorithm to determine the user's emotional state. The results are sent to the server. The input is voice data and facial images, and the output is data indicating the user's emotional state.

[1808] Step 4:

[1809] The server automatically generates optimal private schedule proposals based on the user profile and emotional data. Using a generative AI model, the server inputs the user profile and emotional information and proposes the optimal schedule for the user. The input is the updated user profile and emotional data, and the output is the generated schedule proposal.

[1810] Step 5:

[1811] The server sends the generated schedule proposal to the user's terminal and asks the user to confirm and approve it. Specifically, it displays a notification of the schedule proposal on the terminal, allowing the user to confirm it and send instructions for approval or modification. The input is the generated schedule proposal, and the output is the user's response.

[1812] Step 6:

[1813] Based on the user's approval, the server automatically makes the necessary reservations over the Internet. For example, it makes online reservations for accommodation or event tickets and sends the results to the user's device. The input is the schedule plan approved by the user, and the output is reservation confirmation information.

[1814] Step 7:

[1815] When a user enters a physical store, the server sends recommendation and discount information to the user's device in real time. Specifically, it uses the store's location information and in-store sensor information to detect that the user is inside the store and immediately notifies the user of relevant information. The input is the user's location information, and the output is real-time recommendation and discount information.

[1816] Step 8:

[1817] The server notifies the user's device of the confirmed schedule and reservation details, and sends a reminder when the cancellation deadline approaches. Furthermore, if the user does not respond by the deadline, the reservation is automatically canceled. The input is the confirmed schedule, reservation details, and the user's response, and the output is a reminder or cancellation confirmation.

[1818] 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.

[1819] 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.

[1820] 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.

[1821] 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.

[1822] 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.

[1823] 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.

[1824] 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).

[1825] 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.

[1826] 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."

[1827] 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.

[1828] 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).

[1829] 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.

[1830] 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.

[1831] 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.

[1832] 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.

[1833] 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.

[1834] 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.

[1835] 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.

[1836] 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.

[1837] 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.

[1838] 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.

[1839] The following is further disclosed regarding the above embodiment.

[1840] (Claim 1)

[1841] means for collecting calendar information, browsing history, email and chat data from user devices;

[1842] means for transmitting the collected data to a server and updating the user profile;

[1843] A means for the server to automatically generate optimal private schedule proposals based on the user profile;

[1844] A means for transmitting the generated schedule plan to a user terminal and requesting confirmation and approval from the user;

[1845] means for automatically executing reservations over the Internet based on the user's authorization;

[1846] a means of notifying the user of the confirmed schedule and reservation details;

[1847] A means to send reminders to users when the cancellation deadline is approaching and automatically cancel reservations if necessary;

[1848] A system including:

[1849] (Claim 2)

[1850] 10. The system of claim 1, which uses machine learning algorithms to analyze a user's past behavioral patterns and preferences and generate schedule suggestions.

[1851] (Claim 3)

[1852] The system of claim 1, wherein the system takes into account seasons and trends when generating schedule proposals.

[1853] "Example 1"

[1854] (Claim 1)

[1855] means for collecting calendar information, web history, email and communication application data from a user device;

[1856] means for transmitting the collected data to a server and updating the user profile;

[1857] A means for the server to automatically generate optimal personalized schedule proposals based on user profiles;

[1858] A means for transmitting the generated schedule plan to a user terminal and requesting confirmation and approval from the user;

[1859] a means for automatically executing reservations on the network based on user approval;

[1860] a means of notifying the user of the confirmed schedule and reservation details;

[1861] A means to send reminders to users when the cancellation deadline is approaching and automatically cancel reservations if necessary;

[1862] A system including:

[1863] (Claim 2)

[1864] The system of claim 1 uses a generative AI model to analyze a user's past behavioral patterns and preferences and generate schedule suggestions.

[1865] (Claim 3)

[1866] The system of claim 1, wherein the system takes into account seasons and trends when generating schedule proposals.

[1867] "Application Example 1"

[1868] (Claim 1)

[1869] means for collecting calendar information, browsing history, email and chat data from user devices;

[1870] means for transmitting the collected data to a server and updating the user profile;

[1871] A means for the server to automatically generate optimal private schedule proposals based on the user profile;

[1872] A means for transmitting the generated schedule plan to a user terminal and requesting confirmation and approval from the user;

[1873] means for automatically executing reservations over the Internet based on the user's authorization;

[1874] a means of notifying the user of the confirmed schedule and reservation details;

[1875] A means to send reminders to users when the cancellation deadline is approaching and automatically cancel reservations if necessary;

[1876] A way to suggest optimal food delivery options based on the user's dietary preferences and schedule, and automatically place orders.

[1877] A system including:

[1878] (Claim 2)

[1879] 10. The system of claim 1, wherein the system uses machine learning algorithms to analyze a user's past behavioral patterns and preferences and generate schedule suggestions and food delivery suggestions.

[1880] (Claim 3)

[1881] 10. The system of claim 1, wherein the system takes into account seasons and trends in generating proposed schedules and food delivery suggestions.

[1882] "Example 2: Combining Emotion Engines"

[1883] (Claim 1)

[1884] means for collecting calendar information, browsing history, email and chat data from user devices;

[1885] means for transmitting the collected data to a server and updating the user profile;

[1886] means for analyzing the emotional state of a user using an emotion engine;

[1887] A means for the server to automatically generate an optimal private schedule proposal based on the user profile and emotion information;

[1888] A means for transmitting the generated schedule plan to a user terminal and requesting confirmation and approval from the user;

[1889] means for automatically executing reservations over the Internet based on the user's authorization;

[1890] a means of notifying the user of the confirmed schedule and reservation details;

[1891] A means to send reminders to users when the cancellation deadline is approaching and automatically cancel reservations if necessary;

[1892] A system including:

[1893] (Claim 2)

[1894] 10. The system of claim 1, wherein the system uses a machine learning algorithm to analyze a user's past behavioral patterns, preferences, and emotional information to generate schedule suggestions.

[1895] (Claim 3)

[1896] The system of claim 1, wherein the generation of schedule suggestions takes into account seasons, trends, and the user's emotional state.

[1897] "Application example 2 when combining emotion engines"

[1898] (Claim 1)

[1899] means for collecting calendar information, browsing history, email and chat data from user devices;

[1900] means for transmitting the collected data to a server and updating the user profile;

[1901] A means for the server to automatically generate optimal private schedule proposals based on the user profile;

[1902] A means for transmitting the generated schedule plan to a user terminal and requesting confirmation and approval from the user;

[1903] means for automatically executing reservations over the Internet based on the user's authorization;

[1904] a means of notifying the user of the confirmed schedule and reservation details;

[1905] A means to send reminders to users when the cancellation deadline is approaching and automatically cancel reservations if necessary;

[1906] A method to analyze user emotions using voice, text, and facial recognition, and suggest products based on emotional information.

[1907] A way to provide real-time recommendations and discounts when users enter a physical store,

[1908] A system including:

[1909] (Claim 2)

[1910] 10. The system of claim 1, which uses machine learning algorithms to analyze a user's past behavioral patterns and preferences and generate schedule suggestions.

[1911] (Claim 3)

[1912] The system of claim 1, wherein the system takes into account seasons and trends when generating schedule proposals. [Explanation of symbols]

[1913] 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. means for collecting calendar information, browsing history, email and chat data from user devices; means for transmitting the collected data to a server and updating the user profile; A means for the server to automatically generate optimal private schedule proposals based on the user profile; A means for sending the generated schedule proposal to the user's terminal and requesting the user's confirmation and approval; means for automatically executing reservations over the Internet based on the user's authorization; a means of notifying the user of the confirmed schedule and reservation details; A means to send reminders to users when the cancellation deadline is approaching and automatically cancel reservations if necessary; A system including:

2. The system of claim 1 , which uses machine learning algorithms to analyze a user's past behavioral patterns and preferences and generate schedule suggestions.

3. The system of claim 1 , wherein the generation of the schedule proposal takes into account seasons and trends.

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