system

Abstract

Provide a system. [Solution] A means of categorizing user-entered goals; A way to calculate the time it takes to achieve a goal and generate milestones for each category. a means for receiving user activity data and updating progress; A means to analyze balances and generate alerts for missing categories; and means for sending alerts and feedback to the user's device.

Description

[Technical Field]

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

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

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

[0004] In modern society, many people find it difficult to clearly set their own goals and work toward them while maintaining a balanced life. It's particularly difficult to consistently set long-term goals, manage daily progress, and maintain balance across categories. Therefore, there's a need for a system that can efficiently support users in achieving their goals and help them maintain balance. [Means for solving the problem]

[0005] The present invention solves the above problems by providing a system that categorizes goals entered by a user, calculates the time required to achieve the goal, and generates milestones. It also includes a means for receiving the user's activity data and updating the progress. It also provides a means for analyzing the balance and generating alerts for any categories that are lacking, and sends the alerts and feedback to the user's terminal.

[0006] "User" refers to an individual or device that uses this system.

[0007] "Goals" refer to the specific objectives or goals that a user wants to achieve.

[0008] A "category" refers to a classification of elements or fields necessary for achieving a goal.

[0009] A "milestone" is an achievement or goal along the way toward an ultimate goal.

[0010] "Progress" refers to the results and progress made to date toward achieving a goal.

[0011] "Balance" refers to a state of equilibrium between multiple categories.

[0012] "Alert" refers to the system's ability to notify users of certain situations and required actions.

[0013] "Feedback" refers to information that evaluates a user's activities and progress and suggests next actions.

[0014] "Terminal" refers to the hardware or device through which a user interacts with a system.

[0015] "Receiving" refers to the process by which the system obtains data or information entered by the user.

[0016] "Generation" refers to the process by which the system creates new data and information (milestones, feedback, alerts, etc.).

[0017] "Analysis" refers to the process by which a system processes the data it receives and extracts meaning from it. [Brief explanation of the drawings]

[0018] [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 illustrating 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

[0019] 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.

[0020] First, the terms used in the following description will be explained.

[0021] 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).

[0022] 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.

[0023] 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.

[0024] 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.

[0025] 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."

[0026] [First embodiment]

[0027] FIG. 1 shows an example of the configuration of a data processing system 10 according to the first embodiment.

[0028] 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.

[0029] 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).

[0030] 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.

[0031] 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.

[0032] 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.

[0033] 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.

[0034] FIG. 2 shows an example of the main functions of the data processing device 12 and the smart device 14.

[0035] 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.

[0036] 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.

[0037] 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.

[0038] 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."

[0039] The system for implementing the present invention comprehensively supports users in everything from goal setting to progress management and alert notifications. The system exchanges data between a server, a terminal, and the user to help the user achieve their goals.

[0040] System configuration

[0041] User (User):

[0042] The system allows users to set goals and input their daily activities and progress. Users interact with the system through their devices.

[0043] Terminal (terminal):

[0044] It receives input information from the user and sends it to the server. It also displays feedback and alerts from the server to the user. The device is expected to be a smartphone, tablet, PC, etc.

[0045] Server (Server):

[0046] Analyzes data submitted by users, categorizes goals, calculates backward to generate milestones, and tracks progress. Checks balances as needed and generates alerts for shortfalls.

[0047] Specific processing flow

[0048] goal setting

[0049] 1. User: Access the goal screen and enter the goal they want to achieve. For example, they might enter, "I want to travel around the world in 10 years."

[0050] 2. Terminal: Receives the entered goal as text data and sends it to the server.

[0051] 3. Server: Analyzes the received data and classifies goals into categories such as health, finance, knowledge, etc. It uses similar past data to perform initial configuration and stores the user's data in a database.

[0052] Planning

[0053] 1. Server: Calculate backwards the time to the final goal and generate milestones for each category, such as saving 1 million yen in five years, completing vaccinations in three years, learning three major regional languages ​​in two years, etc.

[0054] 2. Server: Sends the generated plan to the device.

[0055] 3. Terminal: Displays the received plan to the user and asks for confirmation.

[0056] Daily life support

[0057] 1. User: Enters daily activities and progress into the device. For example, "I studied English for an hour today."

[0058] 2. Terminal: Formats the entered data and sends it to the server.

[0059] 3. Server: Analyzes the received data and updates the progress to a database. It generates real-time feedback such as, "You're making good progress with English. Next, you need to study more Spanish."

[0060] 4. Terminal: Receives feedback and displays it to the user.

[0061] Balance Checks and Alerts

[0062] 1. Server: Periodically analyzes user activity data and checks the balance of each category, for example, whether the progress in health, finances, and knowledge is balanced.

[0063] 2. Server: Based on the analysis results, generate an alert about the lack of exercise. For example, generate an alert such as "You haven't been exercising much recently. We recommend exercising three times a week."

[0064] 3. Server: Sends alerts and recommended actions to the device.

[0065] 4. On-device: Notifies the user of received alerts and recommended actions, and suggests specific actions to take.

[0066] By carrying out the above process, users can move forward while maintaining balance towards their goals. This system provides total support for users' life balance and is a powerful tool for realizing the ideal ending credits.

[0067] The processing flow will be explained below.

[0068] Step 1:

[0069] The user accesses the goal setting screen and inputs the goal they want to achieve. For example, they input "I want to travel around the world in 10 years."

[0070] Step 2:

[0071] The terminal receives the goal input by the user as text data and transmits it to the server.

[0072] Step 3:

[0073] The server analyzes the received data and classifies the goals into categories such as health, finance, knowledge, etc. For example, the goal of "traveling around the world" can be classified into "health (vaccinations, physical fitness)," "finance (saving money)," and "knowledge (language learning)."

[0074] Step 4:

[0075] The server performs the initial setup and stores it in the database as user data.

[0076] Step 5:

[0077] The server calculates backwards the time required to reach the final goal and generates the necessary milestones for each category, such as saving 1 million yen in five years, completing all vaccinations in three years, and learning a major language in two years.

[0078] Step 6:

[0079] The server sends the generated plan (milestones) to the terminal.

[0080] Step 7:

[0081] The device displays the received plan to the user and asks for the user's confirmation.

[0082] Step 8:

[0083] Users input their daily activities and progress and report them through the device. For example, they can input, "I studied English for one hour today."

[0084] Step 9:

[0085] The terminal formats the data entered by the user and sends it to the server.

[0086] Step 10:

[0087] The server analyzes the received data and updates the database with the progress.

[0088] Step 11:

[0089] The server generates real-time feedback based on progress data, such as "You're making good progress in English, so next you should study more Spanish."

[0090] Step 12:

[0091] The device displays the feedback received from the server to the user.

[0092] Step 13:

[0093] The server periodically analyzes the user's activity data and checks the balance of each category, for example, whether the progress in health, finances, and knowledge is balanced.

[0094] Step 14:

[0095] Based on the analysis results, the server generates an alert about any shortcomings. For example, it generates an alert such as "You haven't been exercising much recently, so we recommend that you exercise three times a week."

[0096] Step 15:

[0097] Server-generated alerts and recommended actions are sent to the device.

[0098] Step 16:

[0099] The device notifies the user of alerts and recommended actions received and suggests specific actions to take.

[0100] These steps allow users to plan their progress towards their goals, allowing them to enrich their lives while maintaining balance.

[0101] Example 1

[0102] 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."

[0103] Conventional goal management systems have been unable to comprehensively support users in the process of setting goals, from planning to progress management. It has also been difficult to check the balance between each category and provide appropriate alerts and feedback in real time regarding shortfalls. This has prevented users from efficiently progressing toward achieving their goals. The present invention aims to solve these problems and provide a system that comprehensively supports users' goal achievement process.

[0104] 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.

[0105] In this invention, the server includes means for categorizing goals entered by the user, means for calculating the time required to achieve the goal and generating milestones for each category, means for receiving the user's activity data and updating the progress, means for generating the next tasks and points to note in real time using a generative AI model, means for analyzing the balance and generating alerts for any categories that are lacking, and means for sending the alerts and feedback to the user's device. This allows the user to manage planned and balanced progress toward achieving their goal and receive appropriate tasks and alerts in real time.

[0106] "Categories" are groups that categorize the goals that users set, and generally refer to areas such as health, finances, and knowledge.

[0107] A "milestone" is an intermediate point on the way to achieving a goal or a specific target that must be achieved, and is an important progress indicator that is set by counting backwards over a period of time.

[0108] "Activity data" refers to information about the specific actions and tasks a user takes in their daily life and toward achieving their goals.

[0109] A "generative AI model" is a technical model based on artificial intelligence that generates the next task or point of attention based on user data.

[0110] "Real-time" refers to being roughly simultaneous, meaning responding to user input and actions and providing immediate feedback.

[0111] "Alerts" refer to warnings or recommendations that alert users to areas of imbalance or deficiencies in the process of achieving their goals.

[0112] "Feedback" refers to advice and suggestions for next actions provided based on a user's progress and behavior.

[0113] A "terminal" is a device that a user uses to interact with the system, typically a smartphone, tablet, or PC.

[0114] "Server" refers to the computer system used to store and analyze user input data and generate feedback.

[0115] A system for implementing the present invention comprehensively supports users in everything from goal setting to progress management and alert notifications. The system exchanges data between a server, a terminal, and a user to help the user achieve their goals. Specific embodiments of the system are described below.

[0116] User (User):

[0117] Users use the system to set goals and enter their daily activities and progress. Users interact with the system through their devices.

[0118] Terminal (terminal):

[0119] The device receives input information from the user and sends it to the server. It also displays feedback and alerts from the server to the user. Devices include smartphones, tablets, and PCs. Examples of devices include the Apple iPhone (registered trademark), Samsung Galaxy, and MICROSOFT (registered trademark) SURFACE (registered trademark).

[0120] Server (Server):

[0121] The server analyzes the data sent by the user and classifies the goals into categories. It uses Python scripts and NLP tools (e.g., spaCy) for the analysis. It also stores the data in a MySQL® database and, if necessary, uses a generative AI model (e.g., OpenAI®'s GPT-3®) to generate the next task or alert. The server can be hosted on a common cloud service such as Amazon Web Services (AWS®), Microsoft Azure®, or Google® Cloud Platform (GCP).

[0122] Specific examples

[0123] goal setting

[0124] User: Accesses the Goals screen and enters the goal they want to achieve. For example, they might enter "I want to travel around the world in 10 years."

[0125] Example prompt:

[0126] "Set goals and milestones to travel around the world in 10 years."

[0127] Terminal: Receives the entered goal as text data and sends it to the server. When the submit button is clicked, JavaScript code sends the data to the server's API endpoint.

[0128] Server: Analyzes the received data and classifies it into categories. For example, a Python script analyzes the data using an NLP tool (spaCy). Then, it stores the data in a MySQL database.

[0129] Planning and progress management

[0130] Server: Calculate the time until the final goal and generate milestones for each category. For example, use a Python calculation library (NumPy) on the server to calculate the time and generate milestones for each category.

[0131] Terminal: Display the received plan to the user and ask for confirmation. Update the UI component to display the plan data using React.js and display a message to the user asking for confirmation.

[0132] Daily life support and feedback

[0133] User: Enters daily activities and progress into the device. For example, "I studied English for an hour today."

[0134] Example prompt:

[0135] "I just told you I've been studying English for an hour. What language should I learn next?"

[0136] Server: Analyzes the received data and updates the progress to a database. Using a generative AI model (OpenAI's GPT-3), it generates the next tasks and points to be focused on in real time.

[0137] Terminal: The terminal receives feedback and displays it to the user, updating the UI using React.js and providing a concrete plan of action.

[0138] Balance Checks and Alerts

[0139] Server: Periodically analyzes user activity data and checks the balance for each category. This is done using the Python Pandas library.

[0140] Server: Generates alerts for missing parts based on the analysis results. Generates alert messages using a generative AI model (OpenAI's GPT-3).

[0141] On the device: Notify the user of received alerts and recommended actions and suggest specific actions. Use React.js to update the UI to display notification messages and provide specific plans of action.

[0142] Through these processes, users can manage planned and balanced progress towards achieving their goals and receive appropriate tasks and alerts in real time.

[0143] The flow of the identification process in the first embodiment will be described with reference to FIG.

[0144] Step 1:

[0145] User: Accesses the goal screen and enters the goal they want to achieve. For example, they enter "I want to travel around the world in 10 years" in the text box. This input is sent to the device.

[0146] Specific actions: Open the system's goal setting screen in a smartphone or PC browser, enter your goal in text format in the input form, and click the "Submit" button.

[0147] Input: User goal (text data)

[0148] Output: The target data is sent to the device.

[0149] Step 2:

[0150] Terminal: Receives the input goal as text data and sends it to the server. JavaScript code sends the data to the server's API endpoint.

[0151] What happens: When you click the "Submit" button, the JavaScript code triggers an event and sends the goal data in JSON format to the server.

[0152] Input: User goal data (text format)

[0153] Output: Goal data is sent to the server's API endpoint

[0154] Step 3:

[0155] Server: Analyzes the received data and classifies goals into categories such as health, finance, knowledge, etc. Analyzes the data using an NLP tool (e.g., spaCy) and stores it in a MySQL database.

[0156] What it does: A Python script parses the received data and uses NLP tools to classify goals into categories, then stores the data in a MySQL database.

[0157] Input: Goal data (JSON format)

[0158] Output: Classified target data is saved in the database

[0159] Step 4:

[0160] Server: Calculate the time required to achieve the goal and generate milestones for each category. Use a Python calculation library (e.g., NumPy) to calculate the time.

[0161] What it does: A Python script reads the goal data stored in the database, calculates the time period backwards, and generates milestones for each category.

[0162] Input: Categorized target data (database)

[0163] Output: Milestone data (stored in the database)

[0164] Step 5:

[0165] Server: Sends the generated plans to the terminal. Uses the Django framework to send the plan data in JSON format via API.

[0166] Specific operation: The Django framework retrieves the planning data and sends it to the terminal through the API endpoint.

[0167] Input: Milestone data (database)

[0168] Output: Planning data (sent to the terminal in JSON format)

[0169] Step 6:

[0170] On the device: Display the received plan to the user and ask for confirmation. Update the UI component that displays the plan data using React.js and show a confirmation message to the user.

[0171] What happens: React.js receives the plan data, updates the UI, and displays a confirmation button to the user.

[0172] Input: Planning data (JSON format)

[0173] Output: The updated UI is displayed to the user

[0174] Step 7:

[0175] User: Enter daily activities and progress into the device. For example, "I studied English for an hour today."

[0176] Specific actions: Enter the details of your activity in the entry form and click the "Submit" button.

[0177] Input: Activity data (text format)

[0178] Output: Activity data is sent to the terminal

[0179] Step 8:

[0180] On the device: The activity data entered is formatted and sent to the server. JavaScript code sends the data to the server API.

[0181] What it does: JavaScript formats the input data and sends it to the server API in JSON format.

[0182] Input: Activity data (text format)

[0183] Output: Formatted data is sent to the server

[0184] Step 9:

[0185] Server: Analyzes the received data, updates the progress, and generates the next tasks and points to be focused on using a generative AI model (e.g., OpenAI's GPT-3).

[0186] What it does: A Python script parses the data, updates a database with progress, and uses a generative AI model to generate feedback.

[0187] Input: Activity data (JSON format)

[0188] Output: Updated progress data (database)

[0189] Step 10:

[0190] Terminal: Receive feedback and display it to the user. Display the feedback in the UI using React.js.

[0191] What happens: React.js receives the feedback data, updates the UI, and displays it to the user.

[0192] Input: Feedback data (JSON format)

[0193] Output: The updated UI is displayed to the user

[0194] Step 11:

[0195] Server: Periodically analyzes user activity data and checks the balance of each category. Analyzes the data using the Python Pandas library.

[0196] What it does: A script runs periodically to extract data from the database and check the balance using the Pandas library.

[0197] Input: User activity data (database)

[0198] Output: Balance analysis data (internal processing)

[0199] Step 12:

[0200] Server: Based on the analysis results, generate alerts for missing parts. Generate alert messages using a generative AI model (OpenAI's GPT-3).

[0201] Specific operation: Based on the analysis results, an appropriate alert message is generated using a generative AI model.

[0202] Input: Balance analysis data (internal processing)

[0203] Output: Alert data (JSON format)

[0204] Step 13:

[0205] On the device: Notify users of received alerts and recommended actions, and suggest specific actions. Display notification messages using React.js.

[0206] Specific behavior: React.js receives the alert data, updates the UI, and displays the notification message.

[0207] Input: Alert data (JSON format)

[0208] Output: Updated UI showing notification to user

[0209] (Application example 1)

[0210] 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."

[0211] Managing the operation and maintenance schedules of autonomous vehicles is extremely complex, making it important to understand progress in real time and generate alerts. However, conventional systems have difficulty managing these tasks comprehensively and centrally, which can result in inefficient vehicle operation and oversight of maintenance. Therefore, there is a need for a system that can comprehensively manage the operation and maintenance of autonomous vehicles.

[0212] 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.

[0213] In this invention, the server includes means for categorizing goals entered by the user, means for calculating the time period until the goal is achieved and generating milestones for each category, means for receiving user activity data and updating the progress, means for managing the operation schedule of the autonomous vehicle, means for managing the maintenance progress, and means for sending alerts and feedback to the user's terminal, thereby enabling efficient operation management and maintenance progress management of the autonomous vehicle.

[0214] A "user" is an entity that uses the system to set goals and input daily activities and progress.

[0215] A "goal" is a specific purpose or outcome that a user wants to achieve.

[0216] "Categories" are categories for organizing and classifying goals and tasks, and include health, finance, knowledge, operation management, maintenance, etc.

[0217] A "milestone" is a specific intermediate achievement or deadline toward achieving a goal.

[0218] A "server" is an information processing device that analyzes data sent from users and performs processes such as goal management, progress management, and alert generation.

[0219] A "terminal" is a device on which a user inputs goals and daily activities and receives feedback and alerts from the server, and includes smartphones and tablets.

[0220] "Progress" refers to the user's progress and degree of achievement toward achieving their goal.

[0221] Analyzing "balance" means evaluating and confirming whether progress in each category is balanced.

[0222] An "alert" is a warning or notice that notifies the user of missing categories and required action.

[0223] "Feedback" refers to information that suggests or notifies the user of the next task or activity to be undertaken based on their activity data.

[0224] An "operation schedule" refers to the operation plan or timetable for an autonomous vehicle.

[0225] "Maintenance" refers to upkeep and management work such as maintenance, inspection, and repair of autonomous vehicles.

[0226] The system for implementing this invention comprehensively supports users in everything from setting goals to managing progress and sending alerts. The system exchanges data between a server, a terminal, and the user to help users achieve their goals. It also integrates functions to comprehensively support the operation management and maintenance progress of autonomous vehicles.

[0227] System configuration

[0228] User (User):

[0229] The system allows users to set goals and input daily activities and progress. Users interact with the system through their devices. In addition, the system allows users to input and manage the operation schedule and maintenance progress of the autonomous vehicle.

[0230] Terminal (terminal):

[0231] It receives input information from the user and sends it to the server. It also displays feedback and alerts from the server to the user. The device is expected to be a smartphone, tablet, PC, etc.

[0232] Server (Server):

[0233] It analyzes data submitted by users, categorizes goals, calculates backward to generate milestones, and manages progress. It also manages the autonomous vehicle's operation schedule and tracks maintenance progress. It checks the balance as needed and generates alerts for shortfalls.

[0234] Specific processing flow

[0235] Users access the system from their devices and input their goals, such as "I want to be able to speak English fluently." The device then sends the input goals to the server, which then categorizes the goals and generates milestones by working backwards. The generated plan is then sent to the device and displayed to the user.

[0236] Next, the user enters their daily activities and progress into the device. For example, they can enter, "I studied English for an hour today." The device then sends the entered data to the server, which then updates the progress. The server also manages the autonomous vehicle's operation schedule and maintenance progress log, and generates alerts for overdue tasks.

[0237] Based on the feedback received, users can decide on their next action and continuously manage their progress. For example, they can take specific actions such as "The oil change for vehicle A is due tomorrow, so I will prepare for that today."

[0238] Hardware and Software

[0239] Hardware:

[0240] The server at the heart of the system is hosted on a cloud platform (such as AWS or Google Cloud), and devices used include smartphones (iOS / ANDROID (registered trademark)), tablets, and PCs.

[0241] software:

[0242] It uses Python as the programming language and Flask or Django as the web framework, Cloud Firestore or MySQL as the database, and uses a generative AI model for analysis, interpreting user input in natural language and generating appropriate milestones and notifications.

[0243] Examples of specific examples and prompts

[0244] For example, the following prompts can be used when managing vehicle operations:

[0245] Example prompt sentence:

[0246] command="log_event"

[0247] vehicle_id="v1"

[0248] log_type="run_log"

[0249] description="Completed 120km run."

[0250] By inputting this prompt into the generative AI model, an operation log is recorded and the server manages the vehicle's progress and generates appropriate alerts. This allows for centralized management of operation schedules and maintenance progress, enabling users to efficiently manage their vehicles through the system.

[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 enters a goal.

[0254] The user accesses the goal screen using a smartphone or tablet and enters their goal in text format. For example, they might enter, "I want to travel around the world in 10 years." The input is then sent to the server by the device.

[0255] Step 2:

[0256] The server categorizes the goals.

[0257] The server analyzes the received goal text and classifies it into categories such as health, finance, knowledge, etc. Using natural language processing, a generative AI model determines the appropriate category. For example, a travel goal might be classified into the "finance" category.

[0258] Step 3:

[0259] The server generates the milestones.

[0260] The server calculates backwards the time it takes to achieve the goal and sets milestones for each category, generating specific milestones such as "saving 1 million yen in five years" or "complete vaccinations in three years."

[0261] Step 4:

[0262] The server sends the plan to the user.

[0263] The generated plan is sent from the server to the device, which displays the plan to the user, who can then review the plan and provide feedback if any adjustments are required.

[0264] Step 5:

[0265] The user enters activity data.

[0266] Users input their daily activities and progress into the device. For example, they might input, "I studied English for one hour today." The input data is then sent from the device to the server.

[0267] Step 6:

[0268] The server will update you on the progress.

[0269] The server analyzes the received activity data and updates the progress. It converts the input data into an appropriate format and stores it in the database. For example, it updates the status to "30% progress in learning English."

[0270] Step 7:

[0271] The server generates the next task to be tackled.

[0272] It uses a generative AI model to generate next tasks and points of attention based on the user's progress, for example, "Next, start learning Spanish."

[0273] Step 8:

[0274] The server analyzes the balance and generates an alert.

[0275] The server periodically analyzes the user's activity data and generates alerts for any imbalanced categories, such as "You haven't been exercising much recently. We recommend exercising three times a week."

[0276] Step 9:

[0277] Your device will display alerts and feedback.

[0278] Alerts and feedback received from the server are notified to the user via the device, who then confirms the specific action and decides on the next course of action.

[0279] 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.

[0280] The system for implementing this invention comprehensively supports users in everything from goal setting to progress management, alert notifications, and emotion recognition. The system exchanges data between a server, a device, and the user to help the user achieve their goals and provide feedback that takes into account emotional fluctuations.

[0281] System configuration

[0282] User (User):

[0283] The system allows users to set goals and input their daily activities and progress. Users interact with the system through their devices.

[0284] Terminal (terminal):

[0285] It receives input information from the user and sends it to the server. It also displays feedback, alerts, and actions based on emotions from the server to the user. The device is expected to be a smartphone, tablet, or PC.

[0286] Server (Server):

[0287] It analyzes data sent by users and categorizes goals. It works backwards to generate milestones and manages progress. It checks balances as needed and generates alerts for shortfalls. It also has an emotion engine that analyzes users' emotional data and generates emotion-based feedback and recommended actions.

[0288] Specific processing flow

[0289] goal setting

[0290] 1. User: Access the goal screen and enter the goal they want to achieve. For example, they might enter, "I want to travel around the world in 10 years."

[0291] 2. Terminal: Receives the entered goal as text data and sends it to the server.

[0292] 3. Server: Analyzes the received data and classifies goals into categories such as health, finance, knowledge, etc. For example, the goal of "traveling around the world" can be classified into "health (vaccinations, physical fitness)," "finance (saving money)," and "knowledge (learning a language)."

[0293] 4. Server: Performs initial configuration and stores user data in the database.

[0294] Planning

[0295] 1. Server: Calculates backwards the time required to reach the final goal and generates the necessary milestones for each category. For example, create milestones such as saving 1 million yen in 5 years, completing all vaccinations in 3 years, and learning a major language in 2 years.

[0296] 2. Server: Sends the generated plan (milestones) to the terminal.

[0297] 3. Terminal: Displays the received plan to the user and asks for confirmation.

[0298] Daily life support

[0299] 1. User: Enters and reports daily activities and progress into the device. For example, "I studied English for an hour today."

[0300] 2. Terminal: Formats the entered data and sends it to the server.

[0301] 3. Server: Analyzes the received data and updates the progress to a database. It generates real-time feedback such as, "You're making good progress with English, so next time you should study more Spanish."

[0302] 4. Terminal: Receives feedback and displays it to the user.

[0303] Emotion Recognition and Action

[0304] 1. User: Enter their feelings and experiences related to achieving their goal into the device. For example, they might enter, "Studying today was fun."

[0305] 2. Terminal: Sends the input emotion data to the server.

[0306] 3. Server: The emotion engine analyzes the received emotion data.

[0307] 4. Server: Generates feedback based on the emotional data to maintain or improve the user's motivation, such as "Good progress! Now it's time to keep this motivation up and start learning a new language."

[0308] 5. On the device: Display emotion-based feedback to the user.

[0309] Balance Checks and Alerts

[0310] 1. Server: Periodically analyzes user activity and sentiment data to check the balance of each category, for example, whether the progress in health, finances, and knowledge is balanced.

[0311] 2. Server: Based on the analysis results, generate an alert about any shortcomings. For example, generate an alert such as "You haven't been exercising much recently, so we recommend that you exercise three times a week."

[0312] 3. Server: Sends alerts and recommended actions to the device.

[0313] 4. On-device: Notifies the user of received alerts and recommended actions, and suggests specific actions to take.

[0314] By performing the above process, users can plan their progress toward their goals, maintain balance while taking into consideration emotional fluctuations, and enrich their lives.

[0315] The processing flow will be explained below.

[0316] Step 1:

[0317] The user accesses the goal setting screen and inputs the goal they want to achieve. For example, they input "I want to travel around the world in 10 years."

[0318] Step 2:

[0319] The terminal receives the inputted goal as text data and transmits it to the server.

[0320] Step 3:

[0321] The server analyzes the received data and classifies the goals into categories such as health, finance, knowledge, etc. For example, the goal of "traveling around the world" can be classified into "health (vaccinations, physical fitness)," "finance (saving money)," and "knowledge (language learning)."

[0322] Step 4:

[0323] The server performs the initial setup and stores it in the database as user data.

[0324] Step 5:

[0325] The server calculates backwards the time required to reach the final goal and generates the necessary milestones for each category, such as saving 1 million yen in five years, completing all vaccinations in three years, and learning a major language in two years.

[0326] Step 6:

[0327] The server sends the generated plan (milestones) to the terminal.

[0328] Step 7:

[0329] The device displays the received plan to the user and asks for confirmation.

[0330] Step 8:

[0331] Users can enter and report their daily activities and progress, for example, "I studied English for an hour today."

[0332] Step 9:

[0333] The terminal formats the entered data and sends it to the server.

[0334] Step 10:

[0335] The server analyzes the received data and updates the database with the progress.

[0336] Step 11:

[0337] The server generates real-time feedback based on progress data, such as "You're making good progress in English, so next you should study more Spanish."

[0338] Step 12:

[0339] The device displays the feedback received from the server to the user.

[0340] Step 13:

[0341] The user inputs their feelings and experiences related to achieving their goal into the device. For example, they might input, "Studying today was fun."

[0342] Step 14:

[0343] The terminal transmits the input emotion data to the server.

[0344] Step 15:

[0345] The server analyzes the received emotion data using an emotion engine.

[0346] Step 16:

[0347] The server generates feedback based on the emotional data to maintain or improve the user's motivation, such as "Good progress! Now, keep up your motivation and start learning a new language."

[0348] Step 17:

[0349] The device displays emotion-based feedback to the user.

[0350] Step 18:

[0351] The server periodically analyzes the user's activity and emotional data to check the balance of each category, for example, whether the progress in health, finances, and knowledge is balanced.

[0352] Step 19:

[0353] Based on the analysis results, the server generates an alert about any shortcomings. For example, it generates an alert such as "You haven't been exercising much recently, so we recommend that you exercise three times a week."

[0354] Step 20:

[0355] Server-generated alerts and recommended actions are sent to the device.

[0356] Step 21:

[0357] The device notifies the user of alerts and recommended actions received and suggests specific actions to take.

[0358] By following these steps, users can plan their progress toward their goals, maintain balance while taking into account emotional fluctuations, and enrich their lives.

[0359] Example 2

[0360] 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."

[0361] While traditional goal management systems focus on user goal setting and progress management, they lack the means to maintain users' emotional and motivational fluctuations. Furthermore, when creating a plan to achieve a goal, the system lacks sufficient feedback and alert functions for missing categories, making it difficult for users to lead a balanced life.

[0362] 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.

[0363] In this invention, the server includes means for categorizing goals entered by the user, means for calculating the time required to achieve the goal and generating milestones for each category, means for receiving the user's activity data and updating the progress, means for receiving and analyzing emotion data, means for generating feedback to maintain the user's motivation based on the analysis results, means for analyzing balance and generating alerts for categories where there is a deficiency, and means for sending alerts and feedback to the user's device. This enables the user to set goals, manage progress, respond to emotional fluctuations, receive balanced feedback, and improve their quality of life.

[0364] "User" refers to an individual who uses the system to set goals, enter activities and progress, and receive feedback and alerts.

[0365] "Server" refers to the computer system that plays a central role in receiving, analyzing, and classifying user goals and progress data, generating feedback and alerts, and sending them to the device.

[0366] "Device" means a device operated by a user to input goal and activity data and receive and display feedback and alerts from the server, and includes smartphones, tablets, PCs, etc.

[0367] A "goal" refers to a specific action or state that a user aims to achieve and is input into the system.

[0368] "Categories" are criteria for categorizing users' goals into specific themes or areas, such as health, finances, knowledge, etc.

[0369] "Milestones" are intermediate indicators or sub-goals that serve as a benchmark for measuring progress toward achieving a user's ultimate goal.

[0370] "Activity data" refers to data that records the actions and progress of users in their daily lives.

[0371] "Emotional data" refers to data that users input into the system to analyze their emotions and experiences related to achieving their goals.

[0372] "Feedback" refers to instructions or advice provided to the user by the server based on the analysis results.

[0373] "Alert" refers to a notification sent by the server to alert the user based on the analysis results.

[0374] "Analyzing" refers to the process by which the server applies specific rules and algorithms to derive information from the data it receives.

[0375] The present invention is a system that provides integrated support for user goal setting, progress management, emotion recognition, and feedback. This system enables users to receive the information and support they need to achieve their goals through data exchange between a server, a terminal, and the user.

[0376] System Configuration

[0377] user

[0378] Users use the system to set goals and enter their daily activities and progress. Users interact with the system through devices such as smartphones, tablets, and computers.

[0379] Terminal

[0380] The terminal receives input information from the user and sends it to the server. It also displays feedback, alerts, and actions based on the user's emotions from the server. The terminal can be a smartphone, tablet, PC, or other device.

[0381] server

[0382] The server analyzes the data sent by the user and categorizes the goals. It then works backwards to generate milestones and manages progress. It checks the balance as needed and generates alerts for shortfalls. It also has an emotion engine that analyzes the user's emotional data and generates emotion-based feedback and recommended actions.

[0383] Processing Details

[0384] goal setting

[0385] 1. User: Accesses the goal screen and enters, for example, "I want to travel around the world in 10 years."

[0386] 2. Terminal: Receives the entered goal as text data and sends it to the server.

[0387] 3. Server: Analyzes the received data and classifies goals into categories such as health, finance, knowledge, etc. For example, the goal of "traveling around the world" can be classified into "health (vaccinations, physical fitness)," "finance (saving money)," and "knowledge (learning a language)."

[0388] 4. Server: Stores the classified target data in a database.

[0389] Planning

[0390] 1. Server: Calculates backwards the time required to reach the final goal and generates the necessary milestones for each category. For example, create milestones such as saving 1 million yen in 5 years, completing all vaccinations in 3 years, and learning a major language in 2 years.

[0391] 2. Server: Sends the generated plan (milestones) to the terminal.

[0392] 3. Terminal: Displays the received plan to the user and asks for confirmation.

[0393] Daily life support

[0394] 1. User: Enters and reports daily activities and progress into the device. For example, "I studied English for an hour today."

[0395] 2. Terminal: Formats the entered data and sends it to the server.

[0396] 3. Server: Analyzes the received data and updates the progress to a database. It generates real-time feedback such as, "You're making good progress with English, so next time you should study more Spanish."

[0397] 4. Terminal: Receives feedback and displays it to the user.

[0398] Emotion Recognition and Action

[0399] 1. User: Enter their feelings and experiences related to achieving their goal into the device. For example, they might enter, "Studying today was fun."

[0400] 2. Terminal: Sends the input emotion data to the server.

[0401] 3. Server: The emotion engine analyzes the received emotion data.

[0402] 4. Server: Generates feedback based on the emotional data to maintain or improve the user's motivation, such as "Good progress! Now it's time to keep this motivation up and start learning a new language."

[0403] 5. On the device: Display emotion-based feedback to the user.

[0404] Balance Checks and Alerts

[0405] 1. Server: Periodically analyzes user activity and sentiment data to check the balance of each category, for example, whether the progress in health, finances, and knowledge is balanced.

[0406] 2. Server: Based on the analysis results, generate an alert about any shortcomings. For example, generate an alert such as "You haven't been exercising much recently, so we recommend that you exercise three times a week."

[0407] 3. Server: Sends alerts and recommended actions to the device.

[0408] 4. On-device: Notifies the user of received alerts and recommended actions, and suggests specific actions to take.

[0409] Specific examples

[0410] User-specified goal: "I want to travel around the world in 10 years."

[0411] Examples of generated milestones: Save 1 million yen in 5 years, complete all vaccinations in 3 years, learn a major language in 2 years.

[0412] Example of emotion input: Input "Studying today was fun."

[0413] Example prompt for a generative AI model: "Write an algorithm that analyzes emotional data entered by a user and generates feedback to maintain motivation."

[0414] This invention allows users to plan ahead towards their goals, maintain balance while taking into account emotional fluctuations, and enrich their lives.

[0415] The flow of the identification process in the second embodiment will be described with reference to FIG.

[0416] Step 1:

[0417] The user accesses the goal screen and inputs the goal they want to achieve. For example, they might input "I want to travel around the world in 10 years." The input goal is saved as text data on the device. Input: Text data of the goal. Output: Saved text data.

[0418] Step 2:

[0419] The device receives the entered goal as text data and sends it to the server using an API call. Input: Saved text data. Output: Data sent to the server.

[0420] Step 3:

[0421] The server analyzes the received data using a text analysis engine and classifies the goals into categories such as health, finance, knowledge, etc. For example, the goal of "traveling around the world" is classified into "health (vaccinations, physical fitness)," "finance (saving money)," and "knowledge (language learning)." Input: Text data sent to the server. Output: Goal data classified into categories.

[0422] Step 4:

[0423] The server saves the categorized target data in the database and completes the initial setup. Input: Target data categorized. Output: Target data stored in the database.

[0424] Step 5:

[0425] The server calculates backwards the time required to achieve the goal and generates the necessary milestones for each category. For example, it creates milestones such as saving 1 million yen in five years, completing all vaccinations in three years, and learning a major language in two years. Input: Goal data stored in the database. Output: Generated milestone data.

[0426] Step 6:

[0427] The server sends the generated plan (milestones) to the terminal. Input: Generated milestone data. Output: Data sent to the terminal.

[0428] Step 7:

[0429] The terminal displays the received plan to the user and asks for the user's confirmation, for example, by displaying it in a pop-up window or a notification message. Input: Data sent to the terminal. Output: Milestones displayed on the user screen.

[0430] Step 8:

[0431] Users input their daily activities and progress into the device and report them. For example, they might input, "I studied English for an hour today." Input: User's daily activity data. Output: Activity data saved on the device.

[0432] Step 9:

[0433] The terminal formats the input activity data and sends it to the server. Input: Activity data stored on the terminal. Output: Data sent to the server.

[0434] Step 10:

[0435] The server analyzes the received activity data and updates the progress status in the database. It generates the next tasks and points to pay attention to in real time. For example, it generates feedback such as "You're making good progress in English, so next you should study more Spanish." Input: Activity data sent to the server. Output: Analyzed progress data and generated feedback data.

[0436] Step 11:

[0437] The server sends the generated feedback data to the terminal. Input: Parsed progress data and generated feedback data. Output: Data sent to the terminal.

[0438] Step 12:

[0439] The device displays the feedback on the user's screen, for example in the notification bar or in a message in the app. Input: Data sent to the device. Output: Feedback displayed on the user's screen.

[0440] Step 13:

[0441] The user inputs their emotions and experiences related to achieving their goal into the device. For example, they might input, "Studying today was fun." Input: User's emotional data. Output: Emotional data stored on the device.

[0442] Step 14:

[0443] The device sends the input emotion data to the server. Input: Emotion data stored in the device. Output: Data sent to the server.

[0444] Step 15:

[0445] The server analyzes the received emotion data using the emotion engine. Input: Emotion data sent to the server. Output: Analyzed emotion data.

[0446] Step 16:

[0447] The server generates feedback based on the emotion data to maintain or improve the user's motivation. For example, "Good progress! Now, keep up your motivation and start learning a new language." Input: Analyzed emotion data. Output: Generated feedback data.

[0448] Step 17:

[0449] The server sends the generated feedback data to the terminal. Input: Generated feedback data. Output: Data sent to the terminal.

[0450] Step 18:

[0451] The device displays emotion-based feedback to the user, for example in the notification bar or in-app messages. Input: Data sent to the device. Output: Feedback displayed on the user's screen.

[0452] Step 19:

[0453] The server periodically analyzes the user's activity data and emotion data to check the balance of each category, for example, whether the progress in health, finance, and knowledge is balanced. Input: Activity data and emotion data obtained from the database. Output: Balance check score.

[0454] Step 20:

[0455] The server generates an alert based on the analysis results for any shortcomings. For example, it generates an alert such as "You have not been exercising much recently, so we recommend that you exercise three times a week." Input: Balance check score. Output: Generated alert data.

[0456] Step 21:

[0457] The server sends alerts and recommended actions to the device. Input: Generated alert data. Output: Data sent to the device.

[0458] Step 22:

[0459] The device notifies the user of the received alerts and recommended actions and suggests specific actions to take, for example, by displaying them in a pop-up window or notification message. Input: Data sent to the device. Output: Alerts and recommended actions displayed on the user screen.

[0460] (Application example 2)

[0461] 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."

[0462] Conventional goal management systems focus on managing user activity data and progress, but lack the functionality to provide feedback that takes into sufficient consideration user emotional fluctuations. As a result, users lose motivation midway through achieving their goals, making it difficult to achieve them as planned. Furthermore, the lack of a system for monitoring the operating status and performance of work robots in factories and providing appropriate feedback can lead to a decline in production efficiency.

[0463] The specific processing by the specific processing unit 290 of the data processing device 12 in the application example 2 is realized by the following means.

[0464] In this invention, the server includes a means for categorizing goals entered by the user, a means for calculating the time required to achieve the goal and generating milestones for each category, a means for determining the user's emotional state through emotion recognition and generating feedback to maintain or improve motivation, a means for sending alerts and feedback to the user's device, a means for analyzing emotions using a generative AI model, and a means for generating feedback content based on specific prompts. This allows for providing effective feedback that takes into account the user's emotional state and maintaining motivation toward goal achievement. Furthermore, by monitoring the operating status and performance of factory robots in real time and providing appropriate feedback, production efficiency can be improved.

[0465] A "user" is a person or individual who uses the system to set goals and input daily activities and progress.

[0466] "Goals" are specific objectives or goals that users set to achieve, and are categorized into categories such as health, finances, and knowledge.

[0467] A "category" is a broad grouping for categorizing goals, such as health, finances, or knowledge.

[0468] A "milestone" is an intermediate goal leading up to the final goal, and is an important indicator for checking progress.

[0469] "Progress" indicates the current level of achievement and progress toward the goals set by the user.

[0470] "Emotion recognition" is a technology that estimates and determines a user's emotional state from input data and activity data.

[0471] "Motivation" refers to the internal motivation that keeps users motivated to achieve their goals.

[0472] "Feedback" is information and advice the system generates based on the user's progress and emotional state, including next tasks and areas for improvement.

[0473] A "generative AI model" is an algorithm or program that uses artificial intelligence techniques to generate feedback based on a user's emotional state and prompts.

[0474] A "prompt sentence" is an input or instruction sentence that instructs a generative AI model to generate specific feedback content.

[0475] "Terminal" means the device a user uses to interact with the system, such as a smartphone, tablet, or PC.

[0476] The "server" is the central part of the system that analyzes the data sent by users, categorizes goals, and generates milestones.

[0477] An "alert" is a warning message that informs the user of gaps in progress or things that require attention.

[0478] This invention is a system that comprehensively supports users in everything from goal setting to progress management, alert notifications, and emotion recognition. The system exchanges data between the server, device, and user, helping users achieve their goals and providing feedback that takes their emotional state into consideration.

[0479] System configuration

[0480] user:

[0481] The system allows users to set goals and input their daily activities and progress. Users interact with the system through their devices.

[0482] Device:

[0483] It receives input information from the user and sends it to the server. It also displays feedback, alerts, and actions based on the user's emotions from the server. The device can be a smartphone, tablet, or PC.

[0484] server:

[0485] It analyzes data sent by users and categorizes goals. It works backwards to generate milestones and manages progress. It checks the balance as needed and generates alerts for shortfalls. It also has an emotion engine that analyzes users' emotional data and generates emotion-based feedback and recommended actions. This provides feedback that maintains or improves the user's motivation.

[0486] Hardware and software used

[0487] Hardware:

[0488] User's device (smartphone, tablet, PC)

[0489] Server (cloud server)

[0490] software:

[0491] Django (Python web framework)

[0492] It receives data from users, categorizes goals, generates milestones, and analyzes sentiment data.

[0493] ROS (Robot Operating System)

[0494] Collects and sends robot status data and communicates with the server.

[0495] Emotion Recognition Engine

[0496] Analyzes user emotional data and generates emotion-based feedback.

[0497] Explanation with concrete examples

[0498] For example, if a factory robot assembles products, recent data indicates that it has been operating for long periods of time and is overloaded. In this case, the Django server records the robot's emotional state as "high load" and generates feedback to reduce its work speed. Based on this, a notification is sent to the administrator's smartphone app. Similarly, if a user plans a trip, the server categorizes it into "finance," "health," and "knowledge" categories and sets milestones for each category. When a user enters their daily activities, their progress is sent to the server and analyzed in real time. For example, based on the data "I studied English for one hour today," feedback such as "Study Spanish for 15 more minutes" is generated as the next task.

[0499] Prompt Sentence Examples

[0500] Develop a program using Django and ROS to collect and analyze robot operation data and generate appropriate feedback for robots under heavy load. Create a prompt based on the following conditions:

[0501] Using Django with Python

[0502] Create a ROS node and listen to the robot's status

[0503] Applying emotion recognition engines to generate feedback

[0504] Notify the robot of the feedback you created

[0505] As described above, this system not only supports goal achievement, but also maintains motivation and supports goal achievement by providing effective feedback that takes into account the user's emotional state.Furthermore, it can improve production efficiency by monitoring the operating status of factory robots in real time and providing appropriate feedback.

[0506] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[0507] Step 1:

[0508] The user sets a goal through the device. The user inputs text data, such as "I want to travel around the world in 10 years." The device receives the input goal and sends the data to the server.

[0509] Input: Text data for goal setting

[0510] Output: Send data to the server

[0511] Step 2:

[0512] The server analyzes the received goal data and classifies the goals into several categories. For example, the goal of "traveling around the world" can be divided into categories such as "health," "finance," and "knowledge." The analysis is performed using natural language processing technology.

[0513] Input: Text data for goal setting

[0514] Output: Target data by category

[0515] Step 3:

[0516] The server calculates backwards to generate milestones. For example, it creates the necessary steps for each category, such as saving 1 million yen in five years and completing all vaccinations in three years. This makes it possible to visualize the specific steps required to achieve the goal.

[0517] Input: Category-specific goal data

[0518] Output: Generated milestone data

[0519] Step 4:

[0520] Users enter their daily activities and progress into the device, which then formats the data and sends it to the server, for example, "I studied English for one hour today."

[0521] Input: Daily activities and progress data

[0522] Output: Send data to the server

[0523] Step 5:

[0524] The server analyzes the received activity data in real time and updates the progress status to a database. Feedback is generated based on the progress status to determine the next task or point of attention. For example, "You're making good progress with English, so next you should study more Spanish."

[0525] Input: Activity data

[0526] Output: Progress updates, generating feedback

[0527] Step 6:

[0528] The user inputs their feelings and experiences about the activity into the device. For example, they might input, "Studying today was fun." The device formats the emotion data and sends it to the server.

[0529] Input: Emotion data

[0530] Output: Send data to the server

[0531] Step 7:

[0532] The server uses an emotion engine to analyze the received emotion data and generate feedback based on the emotion data to maintain or improve the user's motivation. For example, the server might generate feedback like, "Good progress! Next, keep up your motivation and start learning a new language."

[0533] Input: Emotion data

[0534] Output: Generated feedback

[0535] Step 8:

[0536] The server periodically analyzes the user's activity and emotion data to check the balance of each category, for example, whether the progress in health, finances, and knowledge is balanced. If there is an imbalance, an alert is generated and actions are recommended for the category where there is a deficiency.

[0537] Input: Activity data, emotion data

[0538] Output: Balance analysis results, alert generation

[0539] Step 9:

[0540] The server generates alerts and sends feedback to the device to notify the user. The device receives the alerts and suggests specific actions to take, such as "You haven't been exercising much recently, so we recommend exercising three times a week."

[0541] Input: Alert, Feedback

[0542] Output: User notification and specific action suggestions

[0543] 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.

[0544] The data generation model 58 is a so-called generative AI (Artificial Intelligence). An example of the data generation model 58 is ChatGPT (registered trademark) (Internet search engine).<URL: https: / / openai.com / blog / chatgpt> ), Gemini (registered trademark) (Internet search <url: https: gemini.google.com ?hl="ja">) and other generation AIs. The data generation model 58 is obtained by performing deep learning on a neural network. A prompt including an instruction is input to the data generation model 58, and inference data such as voice data indicating voice, text data indicating text, and image data indicating an image is also input. The data generation model 58 performs inference on the input inference data in accordance with the instruction indicated by the prompt, and outputs the inference result in a data format such as voice data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization.

[0545] 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.

[0546] [Second embodiment]

[0547] FIG. 3 shows an example of the configuration of a data processing system 210 according to the second embodiment.

[0548] 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.

[0549] 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).

[0550] 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.

[0551] 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.

[0552] 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).

[0553] 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.

[0554] 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.

[0555] 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.

[0556] 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.

[0557] 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.

[0558] 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."

[0559] The system for implementing the present invention comprehensively supports users in everything from goal setting to progress management and alert notifications. The system exchanges data between a server, a terminal, and the user to help the user achieve their goals.

[0560] System configuration

[0561] User (User):

[0562] The system allows users to set goals and input their daily activities and progress. Users interact with the system through their devices.

[0563] Terminal (terminal):

[0564] It receives input information from the user and sends it to the server. It also displays feedback and alerts from the server to the user. The device is expected to be a smartphone, tablet, PC, etc.

[0565] Server (Server):

[0566] Analyzes data submitted by users, categorizes goals, calculates backward to generate milestones, and tracks progress. Checks balances as needed and generates alerts for shortfalls.

[0567] Specific processing flow

[0568] goal setting

[0569] 1. User: Access the goal screen and enter the goal they want to achieve. For example, they might enter, "I want to travel around the world in 10 years."

[0570] 2. Terminal: Receives the entered goal as text data and sends it to the server.

[0571] 3. Server: Analyzes the received data and classifies goals into categories such as health, finance, knowledge, etc. It uses similar past data to perform initial configuration and stores the user's data in a database.

[0572] Planning

[0573] 1. Server: Calculate backwards the time to the final goal and generate milestones for each category, such as saving 1 million yen in five years, completing vaccinations in three years, learning three major regional languages ​​in two years, etc.

[0574] 2. Server: Sends the generated plan to the device.

[0575] 3. Terminal: Displays the received plan to the user and asks for confirmation.

[0576] Daily life support

[0577] 1. User: Enters daily activities and progress into the device. For example, "I studied English for an hour today."

[0578] 2. Terminal: Formats the entered data and sends it to the server.

[0579] 3. Server: Analyzes the received data and updates the progress to a database. It generates real-time feedback such as, "You're making good progress with English. Next, you need to study more Spanish."

[0580] 4. Terminal: Receives feedback and displays it to the user.

[0581] Balance Checks and Alerts

[0582] 1. Server: Periodically analyzes user activity data and checks the balance of each category, for example, whether the progress in health, finances, and knowledge is balanced.

[0583] 2. Server: Based on the analysis results, generate an alert about the lack of exercise. For example, generate an alert such as "You haven't been exercising much recently. We recommend exercising three times a week."

[0584] 3. Server: Sends alerts and recommended actions to the device.

[0585] 4. On-device: Notifies the user of received alerts and recommended actions, and suggests specific actions to take.

[0586] By carrying out the above process, users can move forward while maintaining balance towards their goals. This system provides total support for users' life balance and is a powerful tool for realizing the ideal ending credits.

[0587] The processing flow will be explained below.

[0588] Step 1:

[0589] The user accesses the goal setting screen and inputs the goal they want to achieve. For example, they input "I want to travel around the world in 10 years."

[0590] Step 2:

[0591] The terminal receives the goal input by the user as text data and transmits it to the server.

[0592] Step 3:

[0593] The server analyzes the received data and classifies the goals into categories such as health, finance, knowledge, etc. For example, the goal of "traveling around the world" can be classified into "health (vaccinations, physical fitness)," "finance (saving money)," and "knowledge (language learning)."

[0594] Step 4:

[0595] The server performs the initial setup and stores it in the database as user data.

[0596] Step 5:

[0597] The server calculates backwards the time required to reach the final goal and generates the necessary milestones for each category, such as saving 1 million yen in five years, completing all vaccinations in three years, and learning a major language in two years.

[0598] Step 6:

[0599] The server sends the generated plan (milestones) to the terminal.

[0600] Step 7:

[0601] The device displays the received plan to the user and asks for the user's confirmation.

[0602] Step 8:

[0603] Users input their daily activities and progress and report them through the device. For example, they can input, "I studied English for one hour today."

[0604] Step 9:

[0605] The terminal formats the data entered by the user and sends it to the server.

[0606] Step 10:

[0607] The server analyzes the received data and updates the database with the progress.

[0608] Step 11:

[0609] The server generates real-time feedback based on progress data, such as "You're making good progress in English, so next you should study more Spanish."

[0610] Step 12:

[0611] The device displays the feedback received from the server to the user.

[0612] Step 13:

[0613] The server periodically analyzes the user's activity data and checks the balance of each category, for example, whether the progress in health, finances, and knowledge is balanced.

[0614] Step 14:

[0615] Based on the analysis results, the server generates an alert about any shortcomings. For example, it generates an alert such as "You haven't been exercising much recently, so we recommend that you exercise three times a week."

[0616] Step 15:

[0617] Server-generated alerts and recommended actions are sent to the device.

[0618] Step 16:

[0619] The device notifies the user of alerts and recommended actions received and suggests specific actions to take.

[0620] These steps allow users to plan their progress towards their goals, allowing them to enrich their lives while maintaining balance.

[0621] Example 1

[0622] 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."

[0623] Conventional goal management systems have been unable to comprehensively support users in the process of setting goals, from planning to progress management. It has also been difficult to check the balance between each category and provide appropriate alerts and feedback in real time regarding shortfalls. This has prevented users from efficiently progressing toward achieving their goals. The present invention aims to solve these problems and provide a system that comprehensively supports users' goal achievement process.

[0624] 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.

[0625] In this invention, the server includes means for categorizing goals entered by the user, means for calculating the time required to achieve the goal and generating milestones for each category, means for receiving the user's activity data and updating the progress, means for generating the next tasks and points to note in real time using a generative AI model, means for analyzing the balance and generating alerts for any categories that are lacking, and means for sending the alerts and feedback to the user's device. This allows the user to manage planned and balanced progress toward achieving their goal and receive appropriate tasks and alerts in real time.

[0626] "Categories" are groups that categorize the goals that users set, and generally refer to areas such as health, finances, and knowledge.

[0627] A "milestone" is an intermediate point on the way to achieving a goal or a specific target that must be achieved, and is an important progress indicator that is set by counting backwards over a period of time.

[0628] "Activity data" refers to information about the specific actions and tasks a user takes in their daily life and toward achieving their goals.

[0629] A "generative AI model" is a technical model based on artificial intelligence that generates the next task or point of attention based on user data.

[0630] "Real-time" refers to being roughly simultaneous, meaning responding to user input and actions and providing immediate feedback.

[0631] "Alerts" refer to warnings or recommendations that alert users to areas of imbalance or deficiencies in the process of achieving their goals.

[0632] "Feedback" refers to advice and suggestions for next actions provided based on a user's progress and behavior.

[0633] A "terminal" is a device that a user uses to interact with the system, typically a smartphone, tablet, or PC.

[0634] "Server" refers to the computer system used to store and analyze user input data and generate feedback.

[0635] A system for implementing the present invention comprehensively supports users in everything from goal setting to progress management and alert notifications. The system exchanges data between a server, a terminal, and a user to help the user achieve their goals. Specific embodiments of the system are described below.

[0636] User (User):

[0637] Users use the system to set goals and enter their daily activities and progress. Users interact with the system through their devices.

[0638] Terminal (terminal):

[0639] The device receives input from the user and sends it to the server. It also displays feedback and alerts from the server to the user. Devices can be smartphones, tablets, or PCs. Examples of devices include the Apple iPhone, Samsung Galaxy, and Microsoft Surface.

[0640] Server (Server):

[0641] The server analyzes the data sent by the user and classifies the goals into categories. It uses Python scripts and NLP tools (e.g., spaCy) for analysis. It also stores the data in a MySQL database and, if necessary, uses a generative AI model (e.g., OpenAI's GPT-3) to generate the next task or alert. The server can be hosted on a common cloud service such as Amazon Web Services (AWS), Microsoft Azure, or Google Cloud Platform (GCP).

[0642] Specific examples

[0643] goal setting

[0644] User: Accesses the Goals screen and enters the goal they want to achieve. For example, they might enter "I want to travel around the world in 10 years."

[0645] Example prompt:

[0646] "Set goals and milestones to travel around the world in 10 years."

[0647] Terminal: Receives the entered goal as text data and sends it to the server. When the submit button is clicked, JavaScript code sends the data to the server's API endpoint.

[0648] Server: Analyzes the received data and classifies it into categories. For example, a Python script analyzes the data using an NLP tool (spaCy). Then, it stores the data in a MySQL database.

[0649] Planning and progress management

[0650] Server: Calculate the time until the final goal and generate milestones for each category. For example, use a Python calculation library (NumPy) on the server to calculate the time and generate milestones for each category.

[0651] Terminal: Display the received plan to the user and ask for confirmation. Update the UI component to display the plan data using React.js and display a message to the user asking for confirmation.

[0652] Daily life support and feedback

[0653] User: Enters daily activities and progress into the device. For example, "I studied English for an hour today."

[0654] Example prompt:

[0655] "I just told you I've been studying English for an hour. What language should I learn next?"

[0656] Server: Analyzes the received data and updates the progress to a database. Using a generative AI model (OpenAI's GPT-3), it generates the next tasks and points to be focused on in real time.

[0657] Terminal: The terminal receives feedback and displays it to the user, updating the UI using React.js and providing a concrete plan of action.

[0658] Balance Checks and Alerts

[0659] Server: Periodically analyzes user activity data and checks the balance for each category. This is done using the Python Pandas library.

[0660] Server: Generates alerts for missing parts based on the analysis results. Generates alert messages using a generative AI model (OpenAI's GPT-3).

[0661] On the device: Notify the user of received alerts and recommended actions and suggest specific actions. Use React.js to update the UI to display notification messages and provide specific plans of action.

[0662] Through these processes, users can manage planned and balanced progress towards achieving their goals and receive appropriate tasks and alerts in real time.

[0663] The flow of the identification process in the first embodiment will be described with reference to FIG.

[0664] Step 1:

[0665] User: Accesses the goal screen and enters the goal they want to achieve. For example, they enter "I want to travel around the world in 10 years" in the text box. This input is sent to the device.

[0666] Specific actions: Open the system's goal setting screen in a smartphone or PC browser, enter your goal in text format in the input form, and click the "Submit" button.

[0667] Input: User goal (text data)

[0668] Output: The target data is sent to the device.

[0669] Step 2:

[0670] Terminal: Receives the input goal as text data and sends it to the server. JavaScript code sends the data to the server's API endpoint.

[0671] What happens: When you click the "Submit" button, the JavaScript code triggers an event and sends the goal data in JSON format to the server.

[0672] Input: User goal data (text format)

[0673] Output: Goal data is sent to the server's API endpoint

[0674] Step 3:

[0675] Server: Analyzes the received data and classifies goals into categories such as health, finance, knowledge, etc. Analyzes the data using an NLP tool (e.g., spaCy) and stores it in a MySQL database.

[0676] What it does: A Python script parses the received data and uses NLP tools to classify goals into categories, then stores the data in a MySQL database.

[0677] Input: Goal data (JSON format)

[0678] Output: Classified target data is saved in the database

[0679] Step 4:

[0680] Server: Calculate the time required to achieve the goal and generate milestones for each category. Use a Python calculation library (e.g., NumPy) to calculate the time.

[0681] What it does: A Python script reads the goal data stored in the database, calculates the time period backwards, and generates milestones for each category.

[0682] Input: Categorized target data (database)

[0683] Output: Milestone data (stored in the database)

[0684] Step 5:

[0685] Server: Sends the generated plans to the terminal. Uses the Django framework to send the plan data in JSON format via API.

[0686] Specific operation: The Django framework retrieves the planning data and sends it to the terminal through the API endpoint.

[0687] Input: Milestone data (database)

[0688] Output: Planning data (sent to the terminal in JSON format)

[0689] Step 6:

[0690] On the device: Display the received plan to the user and ask for confirmation. Update the UI component that displays the plan data using React.js and show a confirmation message to the user.

[0691] What happens: React.js receives the plan data, updates the UI, and displays a confirmation button to the user.

[0692] Input: Planning data (JSON format)

[0693] Output: The updated UI is displayed to the user

[0694] Step 7:

[0695] User: Enter daily activities and progress into the device. For example, "I studied English for an hour today."

[0696] Specific actions: Enter the details of your activity in the entry form and click the "Submit" button.

[0697] Input: Activity data (text format)

[0698] Output: Activity data is sent to the terminal

[0699] Step 8:

[0700] On the device: The activity data entered is formatted and sent to the server. JavaScript code sends the data to the server API.

[0701] What it does: JavaScript formats the input data and sends it to the server API in JSON format.

[0702] Input: Activity data (text format)

[0703] Output: Formatted data is sent to the server

[0704] Step 9:

[0705] Server: Analyzes the received data, updates the progress, and generates the next tasks and points to be focused on using a generative AI model (e.g., OpenAI's GPT-3).

[0706] What it does: A Python script parses the data, updates a database with progress, and uses a generative AI model to generate feedback.

[0707] Input: Activity data (JSON format)

[0708] Output: Updated progress data (database)

[0709] Step 10:

[0710] Terminal: Receive feedback and display it to the user. Display the feedback in the UI using React.js.

[0711] What happens: React.js receives the feedback data, updates the UI, and displays it to the user.

[0712] Input: Feedback data (JSON format)

[0713] Output: The updated UI is displayed to the user

[0714] Step 11:

[0715] Server: Periodically analyzes user activity data and checks the balance of each category. Analyzes the data using the Python Pandas library.

[0716] What it does: A script runs periodically to extract data from the database and check the balance using the Pandas library.

[0717] Input: User activity data (database)

[0718] Output: Balance analysis data (internal processing)

[0719] Step 12:

[0720] Server: Based on the analysis results, generate alerts for missing parts. Generate alert messages using a generative AI model (OpenAI's GPT-3).

[0721] Specific operation: Based on the analysis results, an appropriate alert message is generated using a generative AI model.

[0722] Input: Balance analysis data (internal processing)

[0723] Output: Alert data (JSON format)

[0724] Step 13:

[0725] On the device: Notify users of received alerts and recommended actions, and suggest specific actions. Display notification messages using React.js.

[0726] Specific behavior: React.js receives the alert data, updates the UI, and displays the notification message.

[0727] Input: Alert data (JSON format)

[0728] Output: Updated UI showing notification to user

[0729] (Application example 1)

[0730] 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."

[0731] Managing the operation and maintenance schedules of autonomous vehicles is extremely complex, making it important to understand progress in real time and generate alerts. However, conventional systems have difficulty managing these tasks comprehensively and centrally, which can result in inefficient vehicle operation and oversight of maintenance. Therefore, there is a need for a system that can comprehensively manage the operation and maintenance of autonomous vehicles.

[0732] 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.

[0733] In this invention, the server includes means for categorizing goals entered by the user, means for calculating the time period until the goal is achieved and generating milestones for each category, means for receiving user activity data and updating the progress, means for managing the operation schedule of the autonomous vehicle, means for managing the maintenance progress, and means for sending alerts and feedback to the user's terminal, thereby enabling efficient operation management and maintenance progress management of the autonomous vehicle.

[0734] A "user" is an entity that uses the system to set goals and input daily activities and progress.

[0735] A "goal" is a specific purpose or outcome that a user wants to achieve.

[0736] "Categories" are categories for organizing and classifying goals and tasks, and include health, finance, knowledge, operation management, maintenance, etc.

[0737] A "milestone" is a specific intermediate achievement or deadline toward achieving a goal.

[0738] A "server" is an information processing device that analyzes data sent from users and performs processes such as goal management, progress management, and alert generation.

[0739] A "terminal" is a device on which a user inputs goals and daily activities and receives feedback and alerts from the server, and includes smartphones and tablets.

[0740] "Progress" refers to the user's progress and degree of achievement toward achieving their goal.

[0741] Analyzing "balance" means evaluating and confirming whether progress in each category is balanced.

[0742] An "alert" is a warning or notice that notifies the user of missing categories and required action.

[0743] "Feedback" refers to information that suggests or notifies the user of the next task or activity to be undertaken based on their activity data.

[0744] An "operation schedule" refers to the operation plan or timetable for an autonomous vehicle.

[0745] "Maintenance" refers to upkeep and management work such as maintenance, inspection, and repair of autonomous vehicles.

[0746] The system for implementing this invention comprehensively supports users in everything from setting goals to managing progress and sending alerts. The system exchanges data between a server, a terminal, and the user to help users achieve their goals. It also integrates functions to comprehensively support the operation management and maintenance progress of autonomous vehicles.

[0747] System configuration

[0748] User (User):

[0749] The system allows users to set goals and input daily activities and progress. Users interact with the system through their devices. In addition, the system allows users to input and manage the operation schedule and maintenance progress of the autonomous vehicle.

[0750] Terminal (terminal):

[0751] It receives input information from the user and sends it to the server. It also displays feedback and alerts from the server to the user. The device is expected to be a smartphone, tablet, PC, etc.

[0752] Server (Server):

[0753] It analyzes data submitted by users, categorizes goals, calculates backward to generate milestones, and manages progress. It also manages the autonomous vehicle's operation schedule and tracks maintenance progress. It checks the balance as needed and generates alerts for shortfalls.

[0754] Specific processing flow

[0755] Users access the system from their devices and input their goals, such as "I want to be able to speak English fluently." The device then sends the input goals to the server, which then categorizes the goals and generates milestones by working backwards. The generated plan is then sent to the device and displayed to the user.

[0756] Next, the user enters their daily activities and progress into the device. For example, they can enter, "I studied English for an hour today." The device then sends the entered data to the server, which then updates the progress. The server also manages the autonomous vehicle's operation schedule and maintenance progress log, and generates alerts for overdue tasks.

[0757] Based on the feedback received, users can decide on their next action and continuously manage their progress. For example, they can take specific actions such as "The oil change for vehicle A is due tomorrow, so I will prepare for that today."

[0758] Hardware and Software

[0759] Hardware:

[0760] The server at the heart of the system is hosted on a cloud platform (such as AWS or Google Cloud), and devices include smartphones (iOS / Android), tablets, and PCs.

[0761] software:

[0762] It uses Python as the programming language and Flask or Django as the web framework, Cloud Firestore or MySQL as the database, and uses a generative AI model for analysis, interpreting user input in natural language and generating appropriate milestones and notifications.

[0763] Examples of specific examples and prompts

[0764] For example, the following prompts can be used when managing vehicle operations:

[0765] Example prompt sentence:

[0766] command="log_event"

[0767] vehicle_id="v1"

[0768] log_type="run_log"

[0769] description="Completed 120km run."

[0770] By inputting this prompt into the generative AI model, an operation log is recorded and the server manages the vehicle's progress and generates appropriate alerts. This allows for centralized management of operation schedules and maintenance progress, enabling users to efficiently manage their vehicles through the system.

[0771] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[0772] Step 1:

[0773] The user enters a goal.

[0774] The user accesses the goal screen using a smartphone or tablet and enters their goal in text format. For example, they might enter, "I want to travel around the world in 10 years." The input is then sent to the server by the device.

[0775] Step 2:

[0776] The server categorizes the goals.

[0777] The server analyzes the received goal text and classifies it into categories such as health, finance, knowledge, etc. Using natural language processing, a generative AI model determines the appropriate category. For example, a travel goal might be classified into the "finance" category.

[0778] Step 3:

[0779] The server generates the milestones.

[0780] The server calculates backwards the time it takes to achieve the goal and sets milestones for each category, generating specific milestones such as "saving 1 million yen in five years" or "complete vaccinations in three years."

[0781] Step 4:

[0782] The server sends the plan to the user.

[0783] The generated plan is sent from the server to the device, which displays the plan to the user, who can then review the plan and provide feedback if any adjustments are required.

[0784] Step 5:

[0785] The user enters activity data.

[0786] Users input their daily activities and progress into the device. For example, they might input, "I studied English for one hour today." The input data is then sent from the device to the server.

[0787] Step 6:

[0788] The server will update you on the progress.

[0789] The server analyzes the received activity data and updates the progress. It converts the input data into an appropriate format and stores it in the database. For example, it updates the status to "30% progress in learning English."

[0790] Step 7:

[0791] The server generates the next task to be tackled.

[0792] It uses a generative AI model to generate next tasks and points of attention based on the user's progress, for example, "Next, start learning Spanish."

[0793] Step 8:

[0794] The server analyzes the balance and generates an alert.

[0795] The server periodically analyzes the user's activity data and generates alerts for any imbalances in the categories, such as "You haven't been exercising much recently. We recommend exercising three times a week."

[0796] Step 9:

[0797] Your device will display alerts and feedback.

[0798] Alerts and feedback received from the server are notified to the user via the device, who then confirms the specific action and decides on the next course of action.

[0799] 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.

[0800] The system for implementing this invention comprehensively supports users in everything from goal setting to progress management, alert notifications, and emotion recognition. The system exchanges data between a server, a device, and the user to help the user achieve their goals and provide feedback that takes into account emotional fluctuations.

[0801] System configuration

[0802] User (User):

[0803] The system allows users to set goals and input their daily activities and progress. Users interact with the system through their devices.

[0804] Terminal (terminal):

[0805] It receives input information from the user and sends it to the server. It also displays feedback, alerts, and actions based on emotions from the server to the user. The device is expected to be a smartphone, tablet, or PC.

[0806] Server (Server):

[0807] It analyzes data sent by users and categorizes goals. It works backwards to generate milestones and manages progress. It checks balances as needed and generates alerts for shortfalls. It also has an emotion engine that analyzes users' emotional data and generates emotion-based feedback and recommended actions.

[0808] Specific processing flow

[0809] goal setting

[0810] 1. User: Access the goal screen and enter the goal they want to achieve. For example, they might enter, "I want to travel around the world in 10 years."

[0811] 2. Terminal: Receives the entered goal as text data and sends it to the server.

[0812] 3. Server: Analyzes the received data and classifies goals into categories such as health, finance, knowledge, etc. For example, the goal of "traveling around the world" can be classified into "health (vaccinations, physical fitness)," "finance (saving money)," and "knowledge (learning a language)."

[0813] 4. Server: Performs initial configuration and stores user data in the database.

[0814] Planning

[0815] 1. Server: Calculates backwards the time required to reach the final goal and generates the necessary milestones for each category. For example, create milestones such as saving 1 million yen in 5 years, completing all vaccinations in 3 years, and learning a major language in 2 years.

[0816] 2. Server: Sends the generated plan (milestones) to the terminal.

[0817] 3. Terminal: Displays the received plan to the user and asks for confirmation.

[0818] Daily life support

[0819] 1. User: Enters and reports daily activities and progress into the device. For example, "I studied English for an hour today."

[0820] 2. Terminal: Formats the entered data and sends it to the server.

[0821] 3. Server: Analyzes the received data and updates the progress to a database. It generates real-time feedback such as, "You're making good progress with English, so next time you should study more Spanish."

[0822] 4. Terminal: Receives feedback and displays it to the user.

[0823] Emotion Recognition and Action

[0824] 1. User: Enter their feelings and experiences related to achieving their goal into the device. For example, they might enter, "Studying today was fun."

[0825] 2. Terminal: Sends the input emotion data to the server.

[0826] 3. Server: The emotion engine analyzes the received emotion data.

[0827] 4. Server: Generates feedback based on the emotional data to maintain or improve the user's motivation, such as "Good progress! Now it's time to keep this motivation up and start learning a new language."

[0828] 5. On the device: Display emotion-based feedback to the user.

[0829] Balance Checks and Alerts

[0830] 1. Server: Periodically analyzes user activity and sentiment data to check the balance of each category, for example, whether the progress in health, finances, and knowledge is balanced.

[0831] 2. Server: Based on the analysis results, generate an alert about any shortcomings. For example, generate an alert such as "You haven't been exercising much recently, so we recommend that you exercise three times a week."

[0832] 3. Server: Sends alerts and recommended actions to the device.

[0833] 4. On-device: Notifies the user of received alerts and recommended actions, and suggests specific actions to take.

[0834] By performing the above process, users can plan their progress toward their goals, maintain balance while taking into consideration emotional fluctuations, and enrich their lives.

[0835] The processing flow will be explained below.

[0836] Step 1:

[0837] The user accesses the goal setting screen and inputs the goal they want to achieve. For example, they input "I want to travel around the world in 10 years."

[0838] Step 2:

[0839] The terminal receives the inputted goal as text data and transmits it to the server.

[0840] Step 3:

[0841] The server analyzes the received data and classifies the goals into categories such as health, finance, knowledge, etc. For example, the goal of "traveling around the world" can be classified into "health (vaccinations, physical fitness)," "finance (saving money)," and "knowledge (language learning)."

[0842] Step 4:

[0843] The server performs the initial setup and stores it in the database as user data.

[0844] Step 5:

[0845] The server calculates backwards the time required to reach the final goal and generates the necessary milestones for each category, such as saving 1 million yen in five years, completing all vaccinations in three years, and learning a major language in two years.

[0846] Step 6:

[0847] The server sends the generated plan (milestones) to the terminal.

[0848] Step 7:

[0849] The device displays the received plan to the user and asks for confirmation.

[0850] Step 8:

[0851] Users can enter and report their daily activities and progress, for example, "I studied English for an hour today."

[0852] Step 9:

[0853] The terminal formats the entered data and sends it to the server.

[0854] Step 10:

[0855] The server analyzes the received data and updates the database with the progress.

[0856] Step 11:

[0857] The server generates real-time feedback based on progress data, such as "You're making good progress in English, so next you should study more Spanish."

[0858] Step 12:

[0859] The device displays the feedback received from the server to the user.

[0860] Step 13:

[0861] The user inputs their feelings and experiences related to achieving their goal into the device. For example, they might input, "Studying today was fun."

[0862] Step 14:

[0863] The terminal transmits the input emotion data to the server.

[0864] Step 15:

[0865] The server analyzes the received emotion data using an emotion engine.

[0866] Step 16:

[0867] The server generates feedback based on the emotional data to maintain or improve the user's motivation, such as "Good progress! Now, keep up your motivation and start learning a new language."

[0868] Step 17:

[0869] The device displays emotion-based feedback to the user.

[0870] Step 18:

[0871] The server periodically analyzes the user's activity and emotional data to check the balance of each category, for example, whether the progress in health, finances, and knowledge is balanced.

[0872] Step 19:

[0873] Based on the analysis results, the server generates an alert about any shortcomings. For example, it generates an alert such as "You haven't been exercising much recently, so we recommend that you exercise three times a week."

[0874] Step 20:

[0875] Server-generated alerts and recommended actions are sent to the device.

[0876] Step 21:

[0877] The device notifies the user of alerts and recommended actions received and suggests specific actions to take.

[0878] By following these steps, users can plan their progress toward their goals, maintain balance while taking into account emotional fluctuations, and enrich their lives.

[0879] Example 2

[0880] 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."

[0881] While traditional goal management systems focus on user goal setting and progress management, they lack the means to maintain users' emotional and motivational fluctuations. Furthermore, when creating a plan to achieve a goal, the system lacks sufficient feedback and alert functions for missing categories, making it difficult for users to lead a balanced life.

[0882] 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.

[0883] In this invention, the server includes means for categorizing goals entered by the user, means for calculating the time required to achieve the goal and generating milestones for each category, means for receiving the user's activity data and updating the progress, means for receiving and analyzing emotion data, means for generating feedback to maintain the user's motivation based on the analysis results, means for analyzing balance and generating alerts for categories where there is a deficiency, and means for sending alerts and feedback to the user's device. This enables the user to set goals, manage progress, respond to emotional fluctuations, receive balanced feedback, and improve their quality of life.

[0884] "User" refers to an individual who uses the system to set goals, enter activities and progress, and receive feedback and alerts.

[0885] "Server" refers to the computer system that plays a central role in receiving, analyzing, and classifying user goals and progress data, generating feedback and alerts, and sending them to the device.

[0886] "Device" means a device operated by a user to input goal and activity data and receive and display feedback and alerts from the server, and includes smartphones, tablets, PCs, etc.

[0887] A "goal" refers to a specific action or state that a user aims to achieve and is input into the system.

[0888] "Categories" are criteria for categorizing users' goals into specific themes or areas, such as health, finances, knowledge, etc.

[0889] "Milestones" are intermediate indicators or sub-goals that serve as a benchmark for measuring progress toward achieving a user's ultimate goal.

[0890] "Activity data" refers to data that records the actions and progress of users in their daily lives.

[0891] "Emotional data" refers to data that users input into the system to analyze their emotions and experiences related to achieving their goals.

[0892] "Feedback" refers to instructions or advice provided to the user by the server based on the analysis results.

[0893] "Alert" refers to a notification sent by the server to alert the user based on the analysis results.

[0894] "Analyzing" refers to the process by which the server applies specific rules and algorithms to derive information from the data it receives.

[0895] The present invention is a system that provides integrated support for user goal setting, progress management, emotion recognition, and feedback. This system enables users to receive the information and support they need to achieve their goals through data exchange between a server, a terminal, and the user.

[0896] System Configuration

[0897] user

[0898] Users use the system to set goals and enter their daily activities and progress. Users interact with the system through devices such as smartphones, tablets, and computers.

[0899] Terminal

[0900] The terminal receives input information from the user and sends it to the server. It also displays feedback, alerts, and actions based on the user's emotions from the server. The terminal can be a smartphone, tablet, PC, or other device.

[0901] server

[0902] The server analyzes the data sent by the user and categorizes the goals. It then works backwards to generate milestones and manages progress. It checks the balance as needed and generates alerts for shortfalls. It also has an emotion engine that analyzes the user's emotional data and generates emotion-based feedback and recommended actions.

[0903] Processing Details

[0904] goal setting

[0905] 1. User: Accesses the goal screen and enters, for example, "I want to travel around the world in 10 years."

[0906] 2. Terminal: Receives the entered goal as text data and sends it to the server.

[0907] 3. Server: Analyzes the received data and classifies goals into categories such as health, finance, knowledge, etc. For example, the goal of "traveling around the world" can be classified into "health (vaccinations, physical fitness)," "finance (saving money)," and "knowledge (learning a language)."

[0908] 4. Server: Stores the classified target data in a database.

[0909] Planning

[0910] 1. Server: Calculates backwards the time required to reach the final goal and generates the necessary milestones for each category. For example, create milestones such as saving 1 million yen in 5 years, completing all vaccinations in 3 years, and learning a major language in 2 years.

[0911] 2. Server: Sends the generated plan (milestones) to the terminal.

[0912] 3. Terminal: Displays the received plan to the user and asks for confirmation.

[0913] Daily life support

[0914] 1. User: Enters and reports daily activities and progress into the device. For example, "I studied English for an hour today."

[0915] 2. Terminal: Formats the entered data and sends it to the server.

[0916] 3. Server: Analyzes the received data and updates the progress to a database. It generates real-time feedback such as, "You're making good progress with English, so next time you should study more Spanish."

[0917] 4. Terminal: Receives feedback and displays it to the user.

[0918] Emotion Recognition and Action

[0919] 1. User: Enter their feelings and experiences related to achieving their goal into the device. For example, they might enter, "Studying today was fun."

[0920] 2. Terminal: Sends the input emotion data to the server.

[0921] 3. Server: The emotion engine analyzes the received emotion data.

[0922] 4. Server: Generates feedback based on the emotional data to maintain or improve the user's motivation, such as "Good progress! Now it's time to keep this motivation up and start learning a new language."

[0923] 5. On the device: Display emotion-based feedback to the user.

[0924] Balance Checks and Alerts

[0925] 1. Server: Periodically analyzes user activity and sentiment data to check the balance of each category, for example, whether the progress in health, finances, and knowledge is balanced.

[0926] 2. Server: Based on the analysis results, generate an alert about any shortcomings. For example, generate an alert such as "You haven't been exercising much recently, so we recommend that you exercise three times a week."

[0927] 3. Server: Sends alerts and recommended actions to the device.

[0928] 4. On-device: Notifies the user of received alerts and recommended actions, and suggests specific actions to take.

[0929] Specific examples

[0930] User-specified goal: "I want to travel around the world in 10 years."

[0931] Examples of generated milestones: Save 1 million yen in 5 years, complete all vaccinations in 3 years, learn a major language in 2 years.

[0932] Example of emotion input: Input "Studying today was fun."

[0933] Example prompt for a generative AI model: "Write an algorithm that analyzes emotional data entered by a user and generates feedback to maintain motivation."

[0934] This invention allows users to plan ahead towards their goals, maintain balance while taking into account emotional fluctuations, and enrich their lives.

[0935] The flow of the identification process in the second embodiment will be described with reference to FIG.

[0936] Step 1:

[0937] The user accesses the goal screen and inputs the goal they want to achieve. For example, they might input "I want to travel around the world in 10 years." The input goal is saved as text data on the device. Input: Text data of the goal. Output: Saved text data.

[0938] Step 2:

[0939] The device receives the entered goal as text data and sends it to the server using an API call. Input: Saved text data. Output: Data sent to the server.

[0940] Step 3:

[0941] The server analyzes the received data using a text analysis engine and classifies the goals into categories such as health, finance, knowledge, etc. For example, the goal of "traveling around the world" is classified into "health (vaccinations, physical fitness)," "finance (saving money)," and "knowledge (language learning)." Input: Text data sent to the server. Output: Goal data classified into categories.

[0942] Step 4:

[0943] The server saves the categorized target data in the database and completes the initial setup. Input: Target data categorized. Output: Target data stored in the database.

[0944] Step 5:

[0945] The server calculates backwards the time required to achieve the goal and generates the necessary milestones for each category. For example, it creates milestones such as saving 1 million yen in five years, completing all vaccinations in three years, and learning a major language in two years. Input: Goal data stored in the database. Output: Generated milestone data.

[0946] Step 6:

[0947] The server sends the generated plan (milestones) to the terminal. Input: Generated milestone data. Output: Data sent to the terminal.

[0948] Step 7:

[0949] The terminal displays the received plan to the user and asks for the user's confirmation, for example, by displaying it in a pop-up window or a notification message. Input: Data sent to the terminal. Output: Milestones displayed on the user screen.

[0950] Step 8:

[0951] Users input their daily activities and progress into the device and report them. For example, they might input, "I studied English for an hour today." Input: User's daily activity data. Output: Activity data saved on the device.

[0952] Step 9:

[0953] The terminal formats the input activity data and sends it to the server. Input: Activity data stored on the terminal. Output: Data sent to the server.

[0954] Step 10:

[0955] The server analyzes the received activity data and updates the progress status in the database. It generates the next tasks and points to pay attention to in real time. For example, it generates feedback such as "You're making good progress in English, so next you should study more Spanish." Input: Activity data sent to the server. Output: Analyzed progress data and generated feedback data.

[0956] Step 11:

[0957] The server sends the generated feedback data to the terminal. Input: Parsed progress data and generated feedback data. Output: Data sent to the terminal.

[0958] Step 12:

[0959] The device displays the feedback on the user's screen, for example in the notification bar or in a message in the app. Input: Data sent to the device. Output: Feedback displayed on the user's screen.

[0960] Step 13:

[0961] The user inputs their emotions and experiences related to achieving their goal into the device. For example, they might input, "Studying today was fun." Input: User's emotional data. Output: Emotional data stored on the device.

[0962] Step 14:

[0963] The device sends the input emotion data to the server. Input: Emotion data stored in the device. Output: Data sent to the server.

[0964] Step 15:

[0965] The server analyzes the received emotion data using the emotion engine. Input: Emotion data sent to the server. Output: Analyzed emotion data.

[0966] Step 16:

[0967] The server generates feedback based on the emotion data to maintain or improve the user's motivation. For example, "Good progress! Now, keep up your motivation and start learning a new language." Input: Analyzed emotion data. Output: Generated feedback data.

[0968] Step 17:

[0969] The server sends the generated feedback data to the terminal. Input: Generated feedback data. Output: Data sent to the terminal.

[0970] Step 18:

[0971] The device displays emotion-based feedback to the user, for example in the notification bar or in-app messages. Input: Data sent to the device. Output: Feedback displayed on the user's screen.

[0972] Step 19:

[0973] The server periodically analyzes the user's activity data and emotion data to check the balance of each category, for example, whether the progress in health, finance, and knowledge is balanced. Input: Activity data and emotion data obtained from the database. Output: Balance check score.

[0974] Step 20:

[0975] The server generates an alert based on the analysis results for any shortcomings. For example, it generates an alert such as "You have not been exercising much recently, so we recommend that you exercise three times a week." Input: Balance check score. Output: Generated alert data.

[0976] Step 21:

[0977] The server sends alerts and recommended actions to the device. Input: Generated alert data. Output: Data sent to the device.

[0978] Step 22:

[0979] The device notifies the user of the received alerts and recommended actions and suggests specific actions to take, for example, by displaying them in a pop-up window or notification message. Input: Data sent to the device. Output: Alerts and recommended actions displayed on the user screen.

[0980] (Application example 2)

[0981] 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."

[0982] Conventional goal management systems focus on managing user activity data and progress, but lack the functionality to provide feedback that takes into sufficient consideration user emotional fluctuations. As a result, users lose motivation midway through achieving their goals, making it difficult to achieve them as planned. Furthermore, the lack of a system for monitoring the operating status and performance of work robots in factories and providing appropriate feedback can lead to a decline in production efficiency.

[0983] The specific processing by the specific processing unit 290 of the data processing device 12 in the application example 2 is realized by the following means.

[0984] In this invention, the server includes a means for categorizing goals entered by the user, a means for calculating the time required to achieve the goal and generating milestones for each category, a means for determining the user's emotional state through emotion recognition and generating feedback to maintain or improve motivation, a means for sending alerts and feedback to the user's device, a means for analyzing emotions using a generative AI model, and a means for generating feedback content based on specific prompts. This allows for providing effective feedback that takes into account the user's emotional state and maintaining motivation toward goal achievement. Furthermore, by monitoring the operating status and performance of factory robots in real time and providing appropriate feedback, production efficiency can be improved.

[0985] A "user" is a person or individual who uses the system to set goals and input daily activities and progress.

[0986] "Goals" are specific objectives or goals that users set to achieve, and are categorized into categories such as health, finances, and knowledge.

[0987] A "category" is a broad grouping for categorizing goals, such as health, finances, or knowledge.

[0988] A "milestone" is an intermediate goal leading up to the final goal, and is an important indicator for checking progress.

[0989] "Progress" indicates the current level of achievement and progress toward the goals set by the user.

[0990] "Emotion recognition" is a technology that estimates and determines a user's emotional state from input data and activity data.

[0991] "Motivation" refers to the internal motivation that keeps users motivated to achieve their goals.

[0992] "Feedback" is information and advice the system generates based on the user's progress and emotional state, including next tasks and areas for improvement.

[0993] A "generative AI model" is an algorithm or program that uses artificial intelligence techniques to generate feedback based on a user's emotional state and prompts.

[0994] A "prompt sentence" is an input or instruction sentence that instructs a generative AI model to generate specific feedback content.

[0995] "Terminal" means the device a user uses to interact with the system, such as a smartphone, tablet, or PC.

[0996] The "server" is the central part of the system that analyzes the data sent by users, categorizes goals, and generates milestones.

[0997] An "alert" is a warning message that informs the user of gaps in progress or things that require attention.

[0998] This invention is a system that comprehensively supports users in everything from goal setting to progress management, alert notifications, and emotion recognition. The system exchanges data between the server, device, and user, helping users achieve their goals and providing feedback that takes their emotional state into consideration.

[0999] System configuration

[1000] user:

[1001] The system allows users to set goals and input their daily activities and progress. Users interact with the system through their devices.

[1002] Device:

[1003] It receives input information from the user and sends it to the server. It also displays feedback, alerts, and actions based on the user's emotions from the server. The device can be a smartphone, tablet, or PC.

[1004] server:

[1005] It analyzes data sent by users and categorizes goals. It works backwards to generate milestones and manages progress. It checks the balance as needed and generates alerts for shortfalls. It also has an emotion engine that analyzes users' emotional data and generates emotion-based feedback and recommended actions. This provides feedback that maintains or improves the user's motivation.

[1006] Hardware and software used

[1007] Hardware:

[1008] User's device (smartphone, tablet, PC)

[1009] Server (cloud server)

[1010] software:

[1011] Django (Python web framework)

[1012] It receives data from users, categorizes goals, generates milestones, and analyzes sentiment data.

[1013] ROS (Robot Operating System)

[1014] Collects and sends robot status data and communicates with the server.

[1015] Emotion Recognition Engine

[1016] Analyzes user emotional data and generates emotion-based feedback.

[1017] Explanation with concrete examples

[1018] For example, if a factory robot assembles products, recent data indicates that it has been operating for long periods of time and is overloaded. In this case, the Django server records the robot's emotional state as "high load" and generates feedback to reduce its work speed. Based on this, a notification is sent to the administrator's smartphone app. Similarly, if a user plans a trip, the server categorizes it into "finance," "health," and "knowledge" categories and sets milestones for each category. When a user enters their daily activities, their progress is sent to the server and analyzed in real time. For example, based on the data "I studied English for one hour today," feedback such as "Study Spanish for 15 more minutes" is generated as the next task.

[1019] Prompt Sentence Examples

[1020] Develop a program using Django and ROS to collect and analyze robot operation data and generate appropriate feedback for robots under heavy load. Create a prompt based on the following conditions:

[1021] Using Django with Python

[1022] Create a ROS node and listen to the robot's status

[1023] Applying emotion recognition engines to generate feedback

[1024] Notify the robot of the feedback you created

[1025] As described above, this system not only supports goal achievement, but also maintains motivation and supports goal achievement by providing effective feedback that takes into account the user's emotional state.Furthermore, it can improve production efficiency by monitoring the operating status of factory robots in real time and providing appropriate feedback.

[1026] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[1027] Step 1:

[1028] The user sets a goal through the device. The user inputs text data, such as "I want to travel around the world in 10 years." The device receives the input goal and sends the data to the server.

[1029] Input: Text data for goal setting

[1030] Output: Send data to the server

[1031] Step 2:

[1032] The server analyzes the received goal data and classifies the goals into several categories. For example, the goal of "traveling around the world" can be divided into categories such as "health," "finance," and "knowledge." The analysis is performed using natural language processing technology.

[1033] Input: Text data for goal setting

[1034] Output: Target data by category

[1035] Step 3:

[1036] The server calculates backwards to generate milestones. For example, it creates the necessary steps for each category, such as saving 1 million yen in five years and completing all vaccinations in three years. This makes it possible to visualize the specific steps required to achieve the goal.

[1037] Input: Category-specific goal data

[1038] Output: Generated milestone data

[1039] Step 4:

[1040] Users enter their daily activities and progress into the device, which then formats the data and sends it to the server, for example, "I studied English for one hour today."

[1041] Input: Daily activities and progress data

[1042] Output: Send data to the server

[1043] Step 5:

[1044] The server analyzes the received activity data in real time and updates the progress status to a database. Feedback is generated based on the progress status to determine the next task or point of attention. For example, "You're making good progress with English, so next you should study more Spanish."

[1045] Input: Activity data

[1046] Output: Progress updates, generating feedback

[1047] Step 6:

[1048] The user inputs their feelings and experiences about the activity into the device. For example, they might input, "Studying today was fun." The device formats the emotion data and sends it to the server.

[1049] Input: Emotion data

[1050] Output: Send data to the server

[1051] Step 7:

[1052] The server uses an emotion engine to analyze the received emotion data and generate feedback based on the emotion data to maintain or improve the user's motivation. For example, the server might generate feedback like, "Good progress! Next, keep up your motivation and start learning a new language."

[1053] Input: Emotion data

[1054] Output: Generated feedback

[1055] Step 8:

[1056] The server periodically analyzes the user's activity and emotion data to check the balance of each category, for example, whether the progress in health, finances, and knowledge is balanced. If there is an imbalance, an alert is generated and actions are recommended for the category where there is a deficiency.

[1057] Input: Activity data, emotion data

[1058] Output: Balance analysis results, alert generation

[1059] Step 9:

[1060] The server generates alerts and sends feedback to the device to notify the user. The device receives the alerts and suggests specific actions to take, such as "You haven't been exercising much recently, so we recommend exercising three times a week."

[1061] Input: Alert, Feedback

[1062] Output: User notification and specific action suggestions

[1063] 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.

[1064] 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.

[1065] 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.

[1066] [Third embodiment]

[1067] FIG. 5 shows an example of the configuration of a data processing system 310 according to the third embodiment.

[1068] 5, the data processing system 310 includes the data processing device 12 and a headset type terminal 314. An example of the data processing device 12 is a server.

[1069] 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).

[1070] 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.

[1071] 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.

[1072] 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).

[1073] 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.

[1074] 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.

[1075] 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.

[1076] 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.

[1077] 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.

[1078] 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."

[1079] The system for implementing the present invention comprehensively supports users in everything from goal setting to progress management and alert notifications. The system exchanges data between a server, a terminal, and the user to help the user achieve their goals.

[1080] System configuration

[1081] User (User):

[1082] The system allows users to set goals and input their daily activities and progress. Users interact with the system through their devices.

[1083] Terminal (terminal):

[1084] It receives input information from the user and sends it to the server. It also displays feedback and alerts from the server to the user. The device is expected to be a smartphone, tablet, PC, etc.

[1085] Server (Server):

[1086] Analyzes data submitted by users, categorizes goals, calculates backward to generate milestones, and tracks progress. Checks balances as needed and generates alerts for shortfalls.

[1087] Specific processing flow

[1088] goal setting

[1089] 1. User: Access the goal screen and enter the goal they want to achieve. For example, they might enter, "I want to travel around the world in 10 years."

[1090] 2. Terminal: Receives the entered goal as text data and sends it to the server.

[1091] 3. Server: Analyzes the received data and classifies goals into categories such as health, finance, knowledge, etc. It uses similar past data to perform initial configuration and stores the user's data in a database.

[1092] Planning

[1093] 1. Server: Calculate backwards the time to the final goal and generate milestones for each category, such as saving 1 million yen in five years, completing vaccinations in three years, learning three major regional languages ​​in two years, etc.

[1094] 2. Server: Sends the generated plan to the device.

[1095] 3. Terminal: Displays the received plan to the user and asks for confirmation.

[1096] Daily life support

[1097] 1. User: Enters daily activities and progress into the device. For example, "I studied English for an hour today."

[1098] 2. Terminal: Formats the entered data and sends it to the server.

[1099] 3. Server: Analyzes the received data and updates the progress to a database. It generates real-time feedback such as, "You're making good progress with English. Next, you need to study more Spanish."

[1100] 4. Terminal: Receives feedback and displays it to the user.

[1101] Balance Checks and Alerts

[1102] 1. Server: Periodically analyzes user activity data and checks the balance of each category, for example, whether the progress in health, finances, and knowledge is balanced.

[1103] 2. Server: Based on the analysis results, generate an alert about the lack of exercise. For example, generate an alert such as "You haven't been exercising much recently. We recommend exercising three times a week."

[1104] 3. Server: Sends alerts and recommended actions to the device.

[1105] 4. On-device: Notifies the user of received alerts and recommended actions, and suggests specific actions to take.

[1106] By carrying out the above process, users can move forward while maintaining balance towards their goals. This system provides total support for users' life balance and is a powerful tool for realizing the ideal ending credits.

[1107] The processing flow will be explained below.

[1108] Step 1:

[1109] The user accesses the goal setting screen and inputs the goal they want to achieve. For example, they input "I want to travel around the world in 10 years."

[1110] Step 2:

[1111] The terminal receives the goal input by the user as text data and transmits it to the server.

[1112] Step 3:

[1113] The server analyzes the received data and classifies the goals into categories such as health, finance, knowledge, etc. For example, the goal of "traveling around the world" can be classified into "health (vaccinations, physical fitness)," "finance (saving money)," and "knowledge (language learning)."

[1114] Step 4:

[1115] The server performs the initial setup and stores it in the database as user data.

[1116] Step 5:

[1117] The server calculates backwards the time required to reach the final goal and generates the necessary milestones for each category, such as saving 1 million yen in five years, completing all vaccinations in three years, and learning a major language in two years.

[1118] Step 6:

[1119] The server sends the generated plan (milestones) to the terminal.

[1120] Step 7:

[1121] The device displays the received plan to the user and asks for the user's confirmation.

[1122] Step 8:

[1123] Users input their daily activities and progress and report them through the device. For example, they can input, "I studied English for one hour today."

[1124] Step 9:

[1125] The terminal formats the data entered by the user and sends it to the server.

[1126] Step 10:

[1127] The server analyzes the received data and updates the database with the progress.

[1128] Step 11:

[1129] The server generates real-time feedback based on progress data, such as "You're making good progress in English, so next you should study more Spanish."

[1130] Step 12:

[1131] The device displays the feedback received from the server to the user.

[1132] Step 13:

[1133] The server periodically analyzes the user's activity data and checks the balance of each category, for example, whether the progress in health, finances, and knowledge is balanced.

[1134] Step 14:

[1135] Based on the analysis results, the server generates an alert about any shortcomings. For example, it generates an alert such as "You haven't been exercising much recently, so we recommend that you exercise three times a week."

[1136] Step 15:

[1137] Server-generated alerts and recommended actions are sent to the device.

[1138] Step 16:

[1139] The device notifies the user of alerts and recommended actions received and suggests specific actions to take.

[1140] These steps allow users to plan their progress towards their goals, allowing them to enrich their lives while maintaining balance.

[1141] Example 1

[1142] 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."

[1143] Conventional goal management systems have been unable to comprehensively support users in the process of setting goals, from planning to progress management. It has also been difficult to check the balance between each category and provide appropriate alerts and feedback in real time regarding shortfalls. This has prevented users from efficiently progressing toward achieving their goals. The present invention aims to solve these problems and provide a system that comprehensively supports users' goal achievement process.

[1144] 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.

[1145] In this invention, the server includes means for categorizing goals entered by the user, means for calculating the time required to achieve the goal and generating milestones for each category, means for receiving the user's activity data and updating the progress, means for generating the next tasks and points to note in real time using a generative AI model, means for analyzing the balance and generating alerts for any categories that are lacking, and means for sending the alerts and feedback to the user's device. This allows the user to manage planned and balanced progress toward achieving their goal and receive appropriate tasks and alerts in real time.

[1146] "Categories" are groups that categorize the goals that users set, and generally refer to areas such as health, finances, and knowledge.

[1147] A "milestone" is an intermediate point on the way to achieving a goal or a specific target that must be achieved, and is an important progress indicator that is set by counting backwards over a period of time.

[1148] "Activity data" refers to information about the specific actions and tasks a user takes in their daily life and toward achieving their goals.

[1149] A "generative AI model" is a technical model based on artificial intelligence that generates the next task or point of attention based on user data.

[1150] "Real-time" refers to being roughly simultaneous, meaning responding to user input and actions and providing immediate feedback.

[1151] "Alerts" refer to warnings or recommendations that alert users to areas of imbalance or deficiencies in the process of achieving their goals.

[1152] "Feedback" refers to advice and suggestions for next actions provided based on a user's progress and behavior.

[1153] A "terminal" is a device that a user uses to interact with the system, typically a smartphone, tablet, or PC.

[1154] "Server" refers to the computer system used to store and analyze user input data and generate feedback.

[1155] A system for implementing the present invention comprehensively supports users in everything from goal setting to progress management and alert notifications. The system exchanges data between a server, a terminal, and a user to help the user achieve their goals. Specific embodiments of the system are described below.

[1156] User (User):

[1157] Users use the system to set goals and enter their daily activities and progress. Users interact with the system through their devices.

[1158] Terminal (terminal):

[1159] The device receives input from the user and sends it to the server. It also displays feedback and alerts from the server to the user. Devices can be smartphones, tablets, or PCs. Examples of devices include the Apple iPhone, Samsung Galaxy, and Microsoft Surface.

[1160] Server (Server):

[1161] The server analyzes the data sent by the user and classifies the goals into categories. It uses Python scripts and NLP tools (e.g., spaCy) for analysis. It also stores the data in a MySQL database and, if necessary, uses a generative AI model (e.g., OpenAI's GPT-3) to generate the next task or alert. The server can be hosted on a common cloud service such as Amazon Web Services (AWS), Microsoft Azure, or Google Cloud Platform (GCP).

[1162] Specific examples

[1163] goal setting

[1164] User: Accesses the Goals screen and enters the goal they want to achieve. For example, they might enter "I want to travel around the world in 10 years."

[1165] Example prompt:

[1166] "Set goals and milestones to travel around the world in 10 years."

[1167] Terminal: Receives the entered goal as text data and sends it to the server. When the submit button is clicked, JavaScript code sends the data to the server's API endpoint.

[1168] Server: Analyzes the received data and classifies it into categories. For example, a Python script analyzes the data using an NLP tool (spaCy). Then, it stores the data in a MySQL database.

[1169] Planning and progress management

[1170] Server: Calculate the time until the final goal and generate milestones for each category. For example, use a Python calculation library (NumPy) on the server to calculate the time and generate milestones for each category.

[1171] Terminal: Display the received plan to the user and ask for confirmation. Update the UI component to display the plan data using React.js and display a message to the user asking for confirmation.

[1172] Daily life support and feedback

[1173] User: Enters daily activities and progress into the device. For example, "I studied English for an hour today."

[1174] Example prompt:

[1175] "I just told you I've been studying English for an hour. What language should I learn next?"

[1176] Server: Analyzes the received data and updates the progress to a database. Using a generative AI model (OpenAI's GPT-3), it generates the next tasks and points to be focused on in real time.

[1177] Terminal: The terminal receives feedback and displays it to the user, updating the UI using React.js and providing a concrete plan of action.

[1178] Balance Checks and Alerts

[1179] Server: Periodically analyzes user activity data and checks the balance for each category. This is done using the Python Pandas library.

[1180] Server: Generates alerts for missing parts based on the analysis results. Generates alert messages using a generative AI model (OpenAI's GPT-3).

[1181] On the device: Notify the user of received alerts and recommended actions and suggest specific actions. Use React.js to update the UI to display notification messages and provide specific plans of action.

[1182] Through these processes, users can manage planned and balanced progress towards achieving their goals and receive appropriate tasks and alerts in real time.

[1183] The flow of the identification process in the first embodiment will be described with reference to FIG.

[1184] Step 1:

[1185] User: Accesses the goal screen and enters the goal they want to achieve. For example, they enter "I want to travel around the world in 10 years" in the text box. This input is sent to the device.

[1186] Specific actions: Open the system's goal setting screen in a smartphone or PC browser, enter your goal in text format in the input form, and click the "Submit" button.

[1187] Input: User goal (text data)

[1188] Output: The target data is sent to the device.

[1189] Step 2:

[1190] Terminal: Receives the input goal as text data and sends it to the server. JavaScript code sends the data to the server's API endpoint.

[1191] What happens: When you click the "Submit" button, the JavaScript code triggers an event and sends the goal data in JSON format to the server.

[1192] Input: User goal data (text format)

[1193] Output: Goal data is sent to the server's API endpoint

[1194] Step 3:

[1195] Server: Analyzes the received data and classifies goals into categories such as health, finance, knowledge, etc. Analyzes the data using an NLP tool (e.g., spaCy) and stores it in a MySQL database.

[1196] What it does: A Python script parses the received data and uses NLP tools to classify goals into categories, then stores the data in a MySQL database.

[1197] Input: Goal data (JSON format)

[1198] Output: Classified target data is saved in the database

[1199] Step 4:

[1200] Server: Calculate the time required to achieve the goal and generate milestones for each category. Use a Python calculation library (e.g., NumPy) to calculate the time.

[1201] What it does: A Python script reads the goal data stored in the database, calculates the time period backwards, and generates milestones for each category.

[1202] Input: Categorized target data (database)

[1203] Output: Milestone data (stored in the database)

[1204] Step 5:

[1205] Server: Sends the generated plans to the terminal. Uses the Django framework to send the plan data in JSON format via API.

[1206] Specific operation: The Django framework retrieves the planning data and sends it to the terminal through the API endpoint.

[1207] Input: Milestone data (database)

[1208] Output: Planning data (sent to the terminal in JSON format)

[1209] Step 6:

[1210] On the device: Display the received plan to the user and ask for confirmation. Update the UI component that displays the plan data using React.js and show a confirmation message to the user.

[1211] What happens: React.js receives the plan data, updates the UI, and displays a confirmation button to the user.

[1212] Input: Planning data (JSON format)

[1213] Output: The updated UI is displayed to the user

[1214] Step 7:

[1215] User: Enter daily activities and progress into the device. For example, "I studied English for an hour today."

[1216] Specific actions: Enter the details of your activity in the entry form and click the "Submit" button.

[1217] Input: Activity data (text format)

[1218] Output: Activity data is sent to the terminal

[1219] Step 8:

[1220] On the device: The activity data entered is formatted and sent to the server. JavaScript code sends the data to the server API.

[1221] What it does: JavaScript formats the input data and sends it to the server API in JSON format.

[1222] Input: Activity data (text format)

[1223] Output: Formatted data is sent to the server

[1224] Step 9:

[1225] Server: Analyzes the received data, updates the progress, and generates the next tasks and points to be focused on using a generative AI model (e.g., OpenAI's GPT-3).

[1226] What it does: A Python script parses the data, updates a database with progress, and uses a generative AI model to generate feedback.

[1227] Input: Activity data (JSON format)

[1228] Output: Updated progress data (database)

[1229] Step 10:

[1230] Terminal: Receive feedback and display it to the user. Display the feedback in the UI using React.js.

[1231] What happens: React.js receives the feedback data, updates the UI, and displays it to the user.

[1232] Input: Feedback data (JSON format)

[1233] Output: The updated UI is displayed to the user

[1234] Step 11:

[1235] Server: Periodically analyzes user activity data and checks the balance of each category. Analyzes the data using the Python Pandas library.

[1236] What it does: A script runs periodically to extract data from the database and check the balance using the Pandas library.

[1237] Input: User activity data (database)

[1238] Output: Balance analysis data (internal processing)

[1239] Step 12:

[1240] Server: Based on the analysis results, generate alerts for missing parts. Generate alert messages using a generative AI model (OpenAI's GPT-3).

[1241] Specific operation: Based on the analysis results, an appropriate alert message is generated using a generative AI model.

[1242] Input: Balance analysis data (internal processing)

[1243] Output: Alert data (JSON format)

[1244] Step 13:

[1245] On the device: Notify users of received alerts and recommended actions, and suggest specific actions. Display notification messages using React.js.

[1246] Specific behavior: React.js receives the alert data, updates the UI, and displays the notification message.

[1247] Input: Alert data (JSON format)

[1248] Output: Updated UI showing notification to user

[1249] (Application example 1)

[1250] 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."

[1251] Managing the operation and maintenance schedules of autonomous vehicles is extremely complex, making it important to understand progress in real time and generate alerts. However, conventional systems have difficulty managing these tasks comprehensively and centrally, which can result in inefficient vehicle operation and oversight of maintenance. Therefore, there is a need for a system that can comprehensively manage the operation and maintenance of autonomous vehicles.

[1252] 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.

[1253] In this invention, the server includes means for categorizing goals entered by the user, means for calculating the time period until the goal is achieved and generating milestones for each category, means for receiving user activity data and updating the progress, means for managing the operation schedule of the autonomous vehicle, means for managing the maintenance progress, and means for sending alerts and feedback to the user's terminal, thereby enabling efficient operation management and maintenance progress management of the autonomous vehicle.

[1254] A "user" is an entity that uses the system to set goals and input daily activities and progress.

[1255] A "goal" is a specific purpose or outcome that a user wants to achieve.

[1256] "Categories" are categories for organizing and classifying goals and tasks, and include health, finance, knowledge, operation management, maintenance, etc.

[1257] A "milestone" is a specific intermediate achievement or deadline toward achieving a goal.

[1258] A "server" is an information processing device that analyzes data sent from users and performs processes such as goal management, progress management, and alert generation.

[1259] A "terminal" is a device on which a user inputs goals and daily activities and receives feedback and alerts from the server, and includes smartphones and tablets.

[1260] "Progress" refers to the user's progress and degree of achievement toward achieving their goal.

[1261] Analyzing "balance" means evaluating and confirming whether progress in each category is balanced.

[1262] An "alert" is a warning or notice that notifies the user of missing categories and required action.

[1263] "Feedback" refers to information that suggests or notifies the user of the next task or activity to be undertaken based on their activity data.

[1264] An "operation schedule" refers to the operation plan or timetable for an autonomous vehicle.

[1265] "Maintenance" refers to upkeep and management work such as maintenance, inspection, and repair of autonomous vehicles.

[1266] The system for implementing this invention comprehensively supports users in everything from setting goals to managing progress and sending alerts. The system exchanges data between a server, a terminal, and the user to help users achieve their goals. It also integrates functions to comprehensively support the operation management and maintenance progress of autonomous vehicles.

[1267] System configuration

[1268] User (User):

[1269] The system allows users to set goals and input daily activities and progress. Users interact with the system through their devices. In addition, the system allows users to input and manage the operation schedule and maintenance progress of the autonomous vehicle.

[1270] Terminal (terminal):

[1271] It receives input information from the user and sends it to the server. It also displays feedback and alerts from the server to the user. The device is expected to be a smartphone, tablet, PC, etc.

[1272] Server (Server):

[1273] It analyzes data submitted by users, categorizes goals, calculates backward to generate milestones, and manages progress. It also manages the autonomous vehicle's operation schedule and tracks maintenance progress. It checks the balance as needed and generates alerts for shortfalls.

[1274] Specific processing flow

[1275] Users access the system from their devices and input their goals, such as "I want to be able to speak English fluently." The device then sends the input goals to the server, which then categorizes the goals and generates milestones by working backwards. The generated plan is then sent to the device and displayed to the user.

[1276] Next, the user enters their daily activities and progress into the device. For example, they can enter, "I studied English for an hour today." The device then sends the entered data to the server, which then updates the progress. The server also manages the autonomous vehicle's operation schedule and maintenance progress log, and generates alerts for overdue tasks.

[1277] Based on the feedback received, users can decide on their next action and continuously manage their progress. For example, they can take specific actions such as "The oil change for vehicle A is due tomorrow, so I will prepare for that today."

[1278] Hardware and Software

[1279] Hardware:

[1280] The server at the heart of the system is hosted on a cloud platform (such as AWS or Google Cloud), and devices include smartphones (iOS / Android), tablets, and PCs.

[1281] software:

[1282] It uses Python as the programming language and Flask or Django as the web framework, Cloud Firestore or MySQL as the database, and uses a generative AI model for analysis, interpreting user input in natural language and generating appropriate milestones and notifications.

[1283] Examples of specific examples and prompts

[1284] For example, the following prompts can be used when managing vehicle operations:

[1285] Example prompt sentence:

[1286] command="log_event"

[1287] vehicle_id="v1"

[1288] log_type="run_log"

[1289] description="Completed 120km run."

[1290] By inputting this prompt into the generative AI model, an operation log is recorded and the server manages the vehicle's progress and generates appropriate alerts. This allows for centralized management of operation schedules and maintenance progress, enabling users to efficiently manage their vehicles through the system.

[1291] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[1292] Step 1:

[1293] The user enters a goal.

[1294] The user accesses the goal screen using a smartphone or tablet and enters their goal in text format. For example, they might enter, "I want to travel around the world in 10 years." The input is then sent to the server by the device.

[1295] Step 2:

[1296] The server categorizes the goals.

[1297] The server analyzes the received goal text and classifies it into categories such as health, finance, knowledge, etc. Using natural language processing, a generative AI model determines the appropriate category. For example, a travel goal might be classified into the "finance" category.

[1298] Step 3:

[1299] The server generates the milestones.

[1300] The server calculates backwards the time it takes to achieve the goal and sets milestones for each category, generating specific milestones such as "saving 1 million yen in five years" or "complete vaccinations in three years."

[1301] Step 4:

[1302] The server sends the plan to the user.

[1303] The generated plan is sent from the server to the device, which displays the plan to the user, who can then review the plan and provide feedback if any adjustments are required.

[1304] Step 5:

[1305] The user enters activity data.

[1306] Users input their daily activities and progress into the device. For example, they might input, "I studied English for one hour today." The input data is then sent from the device to the server.

[1307] Step 6:

[1308] The server will update you on the progress.

[1309] The server analyzes the received activity data and updates the progress. It converts the input data into an appropriate format and stores it in the database. For example, it updates the status to "30% progress in learning English."

[1310] Step 7:

[1311] The server generates the next task to be tackled.

[1312] It uses a generative AI model to generate next tasks and points of attention based on the user's progress, for example, "Next, start learning Spanish."

[1313] Step 8:

[1314] The server analyzes the balance and generates an alert.

[1315] The server periodically analyzes the user's activity data and generates alerts for any imbalances in the categories, such as "You haven't been exercising much recently. We recommend exercising three times a week."

[1316] Step 9:

[1317] Your device will display alerts and feedback.

[1318] Alerts and feedback received from the server are notified to the user via the device, who then confirms the specific action and decides on the next course of action.

[1319] 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.

[1320] The system for implementing this invention comprehensively supports users in everything from goal setting to progress management, alert notifications, and emotion recognition. The system exchanges data between a server, a device, and the user to help the user achieve their goals and provide feedback that takes into account emotional fluctuations.

[1321] System configuration

[1322] User (User):

[1323] The system allows users to set goals and input their daily activities and progress. Users interact with the system through their devices.

[1324] Terminal (terminal):

[1325] It receives input information from the user and sends it to the server. It also displays feedback, alerts, and actions based on emotions from the server to the user. The device is expected to be a smartphone, tablet, or PC.

[1326] Server (Server):

[1327] It analyzes data sent by users and categorizes goals. It works backwards to generate milestones and manages progress. It checks balances as needed and generates alerts for shortfalls. It also has an emotion engine that analyzes users' emotional data and generates emotion-based feedback and recommended actions.

[1328] Specific processing flow

[1329] goal setting

[1330] 1. User: Access the goal screen and enter the goal they want to achieve. For example, they might enter, "I want to travel around the world in 10 years."

[1331] 2. Terminal: Receives the entered goal as text data and sends it to the server.

[1332] 3. Server: Analyzes the received data and classifies goals into categories such as health, finance, knowledge, etc. For example, the goal of "traveling around the world" can be classified into "health (vaccinations, physical fitness)," "finance (saving money)," and "knowledge (learning a language)."

[1333] 4. Server: Performs initial configuration and stores user data in the database.

[1334] Planning

[1335] 1. Server: Calculates backwards the time required to reach the final goal and generates the necessary milestones for each category. For example, create milestones such as saving 1 million yen in 5 years, completing all vaccinations in 3 years, and learning a major language in 2 years.

[1336] 2. Server: Sends the generated plan (milestones) to the terminal.

[1337] 3. Terminal: Displays the received plan to the user and asks for confirmation.

[1338] Daily life support

[1339] 1. User: Enters and reports daily activities and progress into the device. For example, "I studied English for an hour today."

[1340] 2. Terminal: Formats the entered data and sends it to the server.

[1341] 3. Server: Analyzes the received data and updates the progress to a database. It generates real-time feedback such as, "You're making good progress with English, so next time you should study more Spanish."

[1342] 4. Terminal: Receives feedback and displays it to the user.

[1343] Emotion Recognition and Action

[1344] 1. User: Enter their feelings and experiences related to achieving their goal into the device. For example, they might enter, "Studying today was fun."

[1345] 2. Terminal: Sends the input emotion data to the server.

[1346] 3. Server: The emotion engine analyzes the received emotion data.

[1347] 4. Server: Generates feedback based on the emotional data to maintain or improve the user's motivation, such as "Good progress! Now it's time to keep this motivation up and start learning a new language."

[1348] 5. On the device: Display emotion-based feedback to the user.

[1349] Balance Checks and Alerts

[1350] 1. Server: Periodically analyzes user activity and sentiment data to check the balance of each category, for example, whether the progress in health, finances, and knowledge is balanced.

[1351] 2. Server: Based on the analysis results, generate an alert about any shortcomings. For example, generate an alert such as "You haven't been exercising much recently, so we recommend that you exercise three times a week."

[1352] 3. Server: Sends alerts and recommended actions to the device.

[1353] 4. On-device: Notifies the user of received alerts and recommended actions, and suggests specific actions to take.

[1354] By performing the above process, users can plan their progress toward their goals, maintain balance while taking into consideration emotional fluctuations, and enrich their lives.

[1355] The processing flow will be explained below.

[1356] Step 1:

[1357] The user accesses the goal setting screen and inputs the goal they want to achieve. For example, they input "I want to travel around the world in 10 years."

[1358] Step 2:

[1359] The terminal receives the inputted goal as text data and transmits it to the server.

[1360] Step 3:

[1361] The server analyzes the received data and classifies the goals into categories such as health, finance, knowledge, etc. For example, the goal of "traveling around the world" can be classified into "health (vaccinations, physical fitness)," "finance (saving money)," and "knowledge (language learning)."

[1362] Step 4:

[1363] The server performs the initial setup and stores it in the database as user data.

[1364] Step 5:

[1365] The server calculates backwards the time required to reach the final goal and generates the necessary milestones for each category, such as saving 1 million yen in five years, completing all vaccinations in three years, and learning a major language in two years.

[1366] Step 6:

[1367] The server sends the generated plan (milestones) to the terminal.

[1368] Step 7:

[1369] The device displays the received plan to the user and asks for confirmation.

[1370] Step 8:

[1371] Users can enter and report their daily activities and progress, for example, "I studied English for an hour today."

[1372] Step 9:

[1373] The terminal formats the entered data and sends it to the server.

[1374] Step 10:

[1375] The server analyzes the received data and updates the database with the progress.

[1376] Step 11:

[1377] The server generates real-time feedback based on progress data, such as "You're making good progress in English, so next you should study more Spanish."

[1378] Step 12:

[1379] The device displays the feedback received from the server to the user.

[1380] Step 13:

[1381] The user inputs their feelings and experiences related to achieving their goal into the device. For example, they might input, "Studying today was fun."

[1382] Step 14:

[1383] The terminal transmits the input emotion data to the server.

[1384] Step 15:

[1385] The server analyzes the received emotion data using an emotion engine.

[1386] Step 16:

[1387] The server generates feedback based on the emotional data to maintain or improve the user's motivation, such as "Good progress! Now, keep up your motivation and start learning a new language."

[1388] Step 17:

[1389] The device displays emotion-based feedback to the user.

[1390] Step 18:

[1391] The server periodically analyzes the user's activity and emotional data to check the balance of each category, for example, whether the progress in health, finances, and knowledge is balanced.

[1392] Step 19:

[1393] Based on the analysis results, the server generates an alert about any shortcomings. For example, it generates an alert such as "You haven't been exercising much recently, so we recommend that you exercise three times a week."

[1394] Step 20:

[1395] Server-generated alerts and recommended actions are sent to the device.

[1396] Step 21:

[1397] The device notifies the user of alerts and recommended actions received and suggests specific actions to take.

[1398] By following these steps, users can plan their progress toward their goals, maintain balance while taking into account emotional fluctuations, and enrich their lives.

[1399] Example 2

[1400] 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."

[1401] While traditional goal management systems focus on user goal setting and progress management, they lack the means to maintain users' emotional and motivational fluctuations. Furthermore, when creating a plan to achieve a goal, the system lacks sufficient feedback and alert functions for missing categories, making it difficult for users to lead a balanced life.

[1402] 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.

[1403] In this invention, the server includes means for categorizing goals entered by the user, means for calculating the time required to achieve the goal and generating milestones for each category, means for receiving the user's activity data and updating the progress, means for receiving and analyzing emotion data, means for generating feedback to maintain the user's motivation based on the analysis results, means for analyzing balance and generating alerts for categories where there is a deficiency, and means for sending alerts and feedback to the user's device. This enables the user to set goals, manage progress, respond to emotional fluctuations, receive balanced feedback, and improve their quality of life.

[1404] "User" refers to an individual who uses the system to set goals, enter activities and progress, and receive feedback and alerts.

[1405] "Server" refers to the computer system that plays a central role in receiving, analyzing, and classifying user goals and progress data, generating feedback and alerts, and sending them to the device.

[1406] "Device" means a device operated by a user to input goal and activity data and receive and display feedback and alerts from the server, and includes smartphones, tablets, PCs, etc.

[1407] A "goal" refers to a specific action or state that a user aims to achieve and is input into the system.

[1408] "Categories" are criteria for categorizing users' goals into specific themes or areas, such as health, finances, knowledge, etc.

[1409] "Milestones" are intermediate indicators or sub-goals that serve as a benchmark for measuring progress toward achieving a user's ultimate goal.

[1410] "Activity data" refers to data that records the actions and progress of users in their daily lives.

[1411] "Emotional data" refers to data that users input into the system to analyze their emotions and experiences related to achieving their goals.

[1412] "Feedback" refers to instructions or advice provided to the user by the server based on the analysis results.

[1413] "Alert" refers to a notification sent by the server to alert the user based on the analysis results.

[1414] "Analyzing" refers to the process by which the server applies specific rules and algorithms to derive information from the data it receives.

[1415] The present invention is a system that provides integrated support for user goal setting, progress management, emotion recognition, and feedback. This system enables users to receive the information and support they need to achieve their goals through data exchange between a server, a terminal, and the user.

[1416] System Configuration

[1417] user

[1418] Users use the system to set goals and enter their daily activities and progress. Users interact with the system through devices such as smartphones, tablets, and computers.

[1419] Terminal

[1420] The terminal receives input information from the user and sends it to the server. It also displays feedback, alerts, and actions based on the user's emotions from the server. The terminal can be a smartphone, tablet, PC, or other device.

[1421] server

[1422] The server analyzes the data sent by the user and categorizes the goals. It then works backwards to generate milestones and manages progress. It checks the balance as needed and generates alerts for shortfalls. It also has an emotion engine that analyzes the user's emotional data and generates emotion-based feedback and recommended actions.

[1423] Processing Details

[1424] goal setting

[1425] 1. User: Accesses the goal screen and enters, for example, "I want to travel around the world in 10 years."

[1426] 2. Terminal: Receives the entered goal as text data and sends it to the server.

[1427] 3. Server: Analyzes the received data and classifies goals into categories such as health, finance, knowledge, etc. For example, the goal of "traveling around the world" can be classified into "health (vaccinations, physical fitness)," "finance (saving money)," and "knowledge (learning a language)."

[1428] 4. Server: Stores the classified target data in a database.

[1429] Planning

[1430] 1. Server: Calculates backwards the time required to reach the final goal and generates the necessary milestones for each category. For example, create milestones such as saving 1 million yen in 5 years, completing all vaccinations in 3 years, and learning a major language in 2 years.

[1431] 2. Server: Sends the generated plan (milestones) to the terminal.

[1432] 3. Terminal: Displays the received plan to the user and asks for confirmation.

[1433] Daily life support

[1434] 1. User: Enters and reports daily activities and progress into the device. For example, "I studied English for an hour today."

[1435] 2. Terminal: Formats the entered data and sends it to the server.

[1436] 3. Server: Analyzes the received data and updates the progress to a database. It generates real-time feedback such as, "You're making good progress with English, so next time you should study more Spanish."

[1437] 4. Terminal: Receives feedback and displays it to the user.

[1438] Emotion Recognition and Action

[1439] 1. User: Enter their feelings and experiences related to achieving their goal into the device. For example, they might enter, "Studying today was fun."

[1440] 2. Terminal: Sends the input emotion data to the server.

[1441] 3. Server: The emotion engine analyzes the received emotion data.

[1442] 4. Server: Generates feedback based on the emotional data to maintain or improve the user's motivation, such as "Good progress! Now it's time to keep this motivation up and start learning a new language."

[1443] 5. On the device: Display emotion-based feedback to the user.

[1444] Balance Checks and Alerts

[1445] 1. Server: Periodically analyzes user activity and sentiment data to check the balance of each category, for example, whether the progress in health, finances, and knowledge is balanced.

[1446] 2. Server: Based on the analysis results, generate an alert about any shortcomings. For example, generate an alert such as "You haven't been exercising much recently, so we recommend that you exercise three times a week."

[1447] 3. Server: Sends alerts and recommended actions to the device.

[1448] 4. On-device: Notifies the user of received alerts and recommended actions, and suggests specific actions to take.

[1449] Specific examples

[1450] User-specified goal: "I want to travel around the world in 10 years."

[1451] Examples of generated milestones: Save 1 million yen in 5 years, complete all vaccinations in 3 years, learn a major language in 2 years.

[1452] Example of emotion input: Input "Studying today was fun."

[1453] Example prompt for a generative AI model: "Write an algorithm that analyzes emotional data entered by a user and generates feedback to maintain motivation."

[1454] This invention allows users to plan ahead towards their goals, maintain balance while taking into account emotional fluctuations, and enrich their lives.

[1455] The flow of the identification process in the second embodiment will be described with reference to FIG.

[1456] Step 1:

[1457] The user accesses the goal screen and inputs the goal they want to achieve. For example, they might input "I want to travel around the world in 10 years." The input goal is saved as text data on the device. Input: Text data of the goal. Output: Saved text data.

[1458] Step 2:

[1459] The device receives the entered goal as text data and sends it to the server using an API call. Input: Saved text data. Output: Data sent to the server.

[1460] Step 3:

[1461] The server analyzes the received data using a text analysis engine and classifies the goals into categories such as health, finance, knowledge, etc. For example, the goal of "traveling around the world" is classified into "health (vaccinations, physical fitness)," "finance (saving money)," and "knowledge (language learning)." Input: Text data sent to the server. Output: Goal data classified into categories.

[1462] Step 4:

[1463] The server saves the categorized target data in the database and completes the initial setup. Input: Target data categorized. Output: Target data stored in the database.

[1464] Step 5:

[1465] The server calculates backwards the time required to achieve the goal and generates the necessary milestones for each category. For example, it creates milestones such as saving 1 million yen in five years, completing all vaccinations in three years, and learning a major language in two years. Input: Goal data stored in the database. Output: Generated milestone data.

[1466] Step 6:

[1467] The server sends the generated plan (milestones) to the terminal. Input: Generated milestone data. Output: Data sent to the terminal.

[1468] Step 7:

[1469] The terminal displays the received plan to the user and asks for the user's confirmation, for example, by displaying it in a pop-up window or a notification message. Input: Data sent to the terminal. Output: Milestones displayed on the user screen.

[1470] Step 8:

[1471] Users input their daily activities and progress into the device and report them. For example, they might input, "I studied English for an hour today." Input: User's daily activity data. Output: Activity data saved on the device.

[1472] Step 9:

[1473] The terminal formats the input activity data and sends it to the server. Input: Activity data stored on the terminal. Output: Data sent to the server.

[1474] Step 10:

[1475] The server analyzes the received activity data and updates the progress status in the database. It generates the next tasks and points to pay attention to in real time. For example, it generates feedback such as "You're making good progress in English, so next you should study more Spanish." Input: Activity data sent to the server. Output: Analyzed progress data and generated feedback data.

[1476] Step 11:

[1477] The server sends the generated feedback data to the terminal. Input: Parsed progress data and generated feedback data. Output: Data sent to the terminal.

[1478] Step 12:

[1479] The device displays the feedback on the user's screen, for example in the notification bar or in a message in the app. Input: Data sent to the device. Output: Feedback displayed on the user's screen.

[1480] Step 13:

[1481] The user inputs their emotions and experiences related to achieving their goal into the device. For example, they might input, "Studying today was fun." Input: User's emotional data. Output: Emotional data stored on the device.

[1482] Step 14:

[1483] The device sends the input emotion data to the server. Input: Emotion data stored in the device. Output: Data sent to the server.

[1484] Step 15:

[1485] The server analyzes the received emotion data using the emotion engine. Input: Emotion data sent to the server. Output: Analyzed emotion data.

[1486] Step 16:

[1487] The server generates feedback based on the emotion data to maintain or improve the user's motivation. For example, "Good progress! Now, keep up your motivation and start learning a new language." Input: Analyzed emotion data. Output: Generated feedback data.

[1488] Step 17:

[1489] The server sends the generated feedback data to the terminal. Input: Generated feedback data. Output: Data sent to the terminal.

[1490] Step 18:

[1491] The device displays emotion-based feedback to the user, for example in the notification bar or in-app messages. Input: Data sent to the device. Output: Feedback displayed on the user's screen.

[1492] Step 19:

[1493] The server periodically analyzes the user's activity data and emotion data to check the balance of each category, for example, whether the progress in health, finance, and knowledge is balanced. Input: Activity data and emotion data obtained from the database. Output: Balance check score.

[1494] Step 20:

[1495] The server generates an alert based on the analysis results for any shortcomings. For example, it generates an alert such as "You have not been exercising much recently, so we recommend that you exercise three times a week." Input: Balance check score. Output: Generated alert data.

[1496] Step 21:

[1497] The server sends alerts and recommended actions to the device. Input: Generated alert data. Output: Data sent to the device.

[1498] Step 22:

[1499] The device notifies the user of the received alerts and recommended actions and suggests specific actions to take, for example, by displaying them in a pop-up window or notification message. Input: Data sent to the device. Output: Alerts and recommended actions displayed on the user screen.

[1500] (Application example 2)

[1501] 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."

[1502] Conventional goal management systems focus on managing user activity data and progress, but lack the functionality to provide feedback that takes into sufficient consideration user emotional fluctuations. As a result, users lose motivation midway through achieving their goals, making it difficult to achieve them as planned. Furthermore, the lack of a system for monitoring the operating status and performance of work robots in factories and providing appropriate feedback can lead to a decline in production efficiency.

[1503] The specific processing by the specific processing unit 290 of the data processing device 12 in the application example 2 is realized by the following means.

[1504] In this invention, the server includes a means for categorizing goals entered by the user, a means for calculating the time required to achieve the goal and generating milestones for each category, a means for determining the user's emotional state through emotion recognition and generating feedback to maintain or improve motivation, a means for sending alerts and feedback to the user's device, a means for analyzing emotions using a generative AI model, and a means for generating feedback content based on specific prompts. This allows for providing effective feedback that takes into account the user's emotional state and maintaining motivation toward goal achievement. Furthermore, by monitoring the operating status and performance of factory robots in real time and providing appropriate feedback, production efficiency can be improved.

[1505] A "user" is a person or individual who uses the system to set goals and input daily activities and progress.

[1506] "Goals" are specific objectives or goals that users set to achieve, and are categorized into categories such as health, finances, and knowledge.

[1507] A "category" is a broad grouping for categorizing goals, such as health, finances, or knowledge.

[1508] A "milestone" is an intermediate goal leading up to the final goal, and is an important indicator for checking progress.

[1509] "Progress" indicates the current level of achievement and progress toward the goals set by the user.

[1510] "Emotion recognition" is a technology that estimates and determines a user's emotional state from input data and activity data.

[1511] "Motivation" refers to the internal motivation that keeps users motivated to achieve their goals.

[1512] "Feedback" is information and advice the system generates based on the user's progress and emotional state, including next tasks and areas for improvement.

[1513] A "generative AI model" is an algorithm or program that uses artificial intelligence techniques to generate feedback based on a user's emotional state and prompts.

[1514] A "prompt sentence" is an input or instruction sentence that instructs a generative AI model to generate specific feedback content.

[1515] "Terminal" means the device a user uses to interact with the system, such as a smartphone, tablet, or PC.

[1516] The "server" is the central part of the system that analyzes the data sent by users, categorizes goals, and generates milestones.

[1517] An "alert" is a warning message that informs the user of gaps in progress or things that require attention.

[1518] This invention is a system that comprehensively supports users in everything from goal setting to progress management, alert notifications, and emotion recognition. The system exchanges data between the server, device, and user, helping users achieve their goals and providing feedback that takes their emotional state into consideration.

[1519] System configuration

[1520] user:

[1521] The system allows users to set goals and input their daily activities and progress. Users interact with the system through their devices.

[1522] Device:

[1523] It receives input information from the user and sends it to the server. It also displays feedback, alerts, and actions based on the user's emotions from the server. The device can be a smartphone, tablet, or PC.

[1524] server:

[1525] It analyzes data sent by users and categorizes goals. It works backwards to generate milestones and manages progress. It checks the balance as needed and generates alerts for shortfalls. It also has an emotion engine that analyzes users' emotional data and generates emotion-based feedback and recommended actions. This provides feedback that maintains or improves the user's motivation.

[1526] Hardware and software used

[1527] Hardware:

[1528] User's device (smartphone, tablet, PC)

[1529] Server (cloud server)

[1530] software:

[1531] Django (Python web framework)

[1532] It receives data from users, categorizes goals, generates milestones, and analyzes sentiment data.

[1533] ROS (Robot Operating System)

[1534] Collects and sends robot status data and communicates with the server.

[1535] Emotion Recognition Engine

[1536] Analyzes user emotional data and generates emotion-based feedback.

[1537] Explanation with concrete examples

[1538] For example, if a factory robot assembles products, recent data indicates that it has been operating for long periods of time and is overloaded. In this case, the Django server records the robot's emotional state as "high load" and generates feedback to reduce its work speed. Based on this, a notification is sent to the administrator's smartphone app. Similarly, if a user plans a trip, the server categorizes it into "finance," "health," and "knowledge" categories and sets milestones for each category. When a user enters their daily activities, their progress is sent to the server and analyzed in real time. For example, based on the data "I studied English for one hour today," feedback such as "Study Spanish for 15 more minutes" is generated as the next task.

[1539] Prompt Sentence Examples

[1540] Develop a program using Django and ROS to collect and analyze robot operation data and generate appropriate feedback for robots under heavy load. Create a prompt based on the following conditions:

[1541] Using Django with Python

[1542] Create a ROS node and listen to the robot's status

[1543] Applying emotion recognition engines to generate feedback

[1544] Notify the robot of the feedback you created

[1545] As described above, this system not only supports goal achievement, but also maintains motivation and supports goal achievement by providing effective feedback that takes into account the user's emotional state.Furthermore, it can improve production efficiency by monitoring the operating status of factory robots in real time and providing appropriate feedback.

[1546] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[1547] Step 1:

[1548] The user sets a goal through the device. The user inputs text data, such as "I want to travel around the world in 10 years." The device receives the input goal and sends the data to the server.

[1549] Input: Text data for goal setting

[1550] Output: Send data to the server

[1551] Step 2:

[1552] The server analyzes the received goal data and classifies the goals into several categories. For example, the goal of "traveling around the world" can be divided into categories such as "health," "finance," and "knowledge." The analysis is performed using natural language processing technology.

[1553] Input: Text data for goal setting

[1554] Output: Target data by category

[1555] Step 3:

[1556] The server calculates backwards to generate milestones. For example, it creates the necessary steps for each category, such as saving 1 million yen in five years and completing all vaccinations in three years. This makes it possible to visualize the specific steps required to achieve the goal.

[1557] Input: Category-specific goal data

[1558] Output: Generated milestone data

[1559] Step 4:

[1560] Users enter their daily activities and progress into the device, which then formats the data and sends it to the server, for example, "I studied English for one hour today."

[1561] Input: Daily activities and progress data

[1562] Output: Send data to the server

[1563] Step 5:

[1564] The server analyzes the received activity data in real time and updates the progress status to a database. Feedback is generated based on the progress status to determine the next task or point of attention. For example, "You're making good progress with English, so next you should study more Spanish."

[1565] Input: Activity data

[1566] Output: Progress updates, generating feedback

[1567] Step 6:

[1568] The user inputs their feelings and experiences about the activity into the device. For example, they might input, "Studying today was fun." The device formats the emotion data and sends it to the server.

[1569] Input: Emotion data

[1570] Output: Send data to the server

[1571] Step 7:

[1572] The server uses an emotion engine to analyze the received emotion data and generate feedback based on the emotion data to maintain or improve the user's motivation. For example, the server might generate feedback like, "Good progress! Next, keep up your motivation and start learning a new language."

[1573] Input: Emotion data

[1574] Output: Generated feedback

[1575] Step 8:

[1576] The server periodically analyzes the user's activity and emotion data to check the balance of each category, for example, whether the progress in health, finances, and knowledge is balanced. If there is an imbalance, an alert is generated and actions are recommended for the category where there is a deficiency.

[1577] Input: Activity data, emotion data

[1578] Output: Balance analysis results, alert generation

[1579] Step 9:

[1580] The server generates alerts and sends feedback to the device to notify the user. The device receives the alerts and suggests specific actions to take, such as "You haven't been exercising much recently, so we recommend exercising three times a week."

[1581] Input: Alert, Feedback

[1582] Output: User notification and specific action suggestions

[1583] 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.

[1584] 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.

[1585] 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.

[1586] [Fourth embodiment]

[1587] FIG. 7 shows an example of the configuration of a data processing system 410 according to the fourth embodiment.

[1588] 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.

[1589] 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).

[1590] 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.

[1591] 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.

[1592] 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).

[1593] 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.

[1594] 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.

[1595] 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.

[1596] 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.

[1597] 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.

[1598] 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.

[1599] 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."

[1600] The system for implementing the present invention comprehensively supports users in everything from goal setting to progress management and alert notifications. The system exchanges data between a server, a terminal, and the user to help the user achieve their goals.

[1601] System configuration

[1602] User (User):

[1603] The system allows users to set goals and input their daily activities and progress. Users interact with the system through their devices.

[1604] Terminal (terminal):

[1605] It receives input information from the user and sends it to the server. It also displays feedback and alerts from the server to the user. The device is expected to be a smartphone, tablet, PC, etc.

[1606] Server (Server):

[1607] Analyzes data submitted by users, categorizes goals, calculates backward to generate milestones, and tracks progress. Checks balances as needed and generates alerts for shortfalls.

[1608] Specific processing flow

[1609] goal setting

[1610] 1. User: Access the goal screen and enter the goal they want to achieve. For example, they might enter, "I want to travel around the world in 10 years."

[1611] 2. Terminal: Receives the entered goal as text data and sends it to the server.

[1612] 3. Server: Analyzes the received data and classifies goals into categories such as health, finance, knowledge, etc. It uses similar past data to perform initial configuration and stores the user's data in a database.

[1613] Planning

[1614] 1. Server: Calculate backwards the time to the final goal and generate milestones for each category, such as saving 1 million yen in five years, completing vaccinations in three years, learning three major regional languages ​​in two years, etc.

[1615] 2. Server: Sends the generated plan to the device.

[1616] 3. Terminal: Displays the received plan to the user and asks for confirmation.

[1617] Daily life support

[1618] 1. User: Enters daily activities and progress into the device. For example, "I studied English for an hour today."

[1619] 2. Terminal: Formats the entered data and sends it to the server.

[1620] 3. Server: Analyzes the received data and updates the progress to a database. It generates real-time feedback such as, "You're making good progress with English. Next, you need to study more Spanish."

[1621] 4. Terminal: Receives feedback and displays it to the user.

[1622] Balance Checks and Alerts

[1623] 1. Server: Periodically analyzes user activity data and checks the balance of each category, for example, whether the progress in health, finances, and knowledge is balanced.

[1624] 2. Server: Based on the analysis results, generate an alert about the lack of exercise. For example, generate an alert such as "You haven't been exercising much recently. We recommend exercising three times a week."

[1625] 3. Server: Sends alerts and recommended actions to the device.

[1626] 4. On-device: Notifies the user of received alerts and recommended actions, and suggests specific actions to take.

[1627] By carrying out the above process, users can move forward while maintaining balance towards their goals. This system provides total support for users' life balance and is a powerful tool for realizing the ideal ending credits.

[1628] The processing flow will be explained below.

[1629] Step 1:

[1630] The user accesses the goal setting screen and inputs the goal they want to achieve. For example, they input "I want to travel around the world in 10 years."

[1631] Step 2:

[1632] The terminal receives the goal input by the user as text data and transmits it to the server.

[1633] Step 3:

[1634] The server analyzes the received data and classifies the goals into categories such as health, finance, knowledge, etc. For example, the goal of "traveling around the world" can be classified into "health (vaccinations, physical fitness)," "finance (saving money)," and "knowledge (language learning)."

[1635] Step 4:

[1636] The server performs the initial setup and stores it in the database as user data.

[1637] Step 5:

[1638] The server calculates backwards the time required to reach the final goal and generates the necessary milestones for each category, such as saving 1 million yen in five years, completing all vaccinations in three years, and learning a major language in two years.

[1639] Step 6:

[1640] The server sends the generated plan (milestones) to the terminal.

[1641] Step 7:

[1642] The device displays the received plan to the user and asks for the user's confirmation.

[1643] Step 8:

[1644] Users input their daily activities and progress and report them through the device. For example, they can input, "I studied English for one hour today."

[1645] Step 9:

[1646] The terminal formats the data entered by the user and sends it to the server.

[1647] Step 10:

[1648] The server analyzes the received data and updates the database with the progress.

[1649] Step 11:

[1650] The server generates real-time feedback based on progress data, such as "You're making good progress in English, so next you should study more Spanish."

[1651] Step 12:

[1652] The device displays the feedback received from the server to the user.

[1653] Step 13:

[1654] The server periodically analyzes the user's activity data and checks the balance of each category, for example, whether the progress in health, finances, and knowledge is balanced.

[1655] Step 14:

[1656] Based on the analysis results, the server generates an alert about any shortcomings. For example, it generates an alert such as "You haven't been exercising much recently, so we recommend that you exercise three times a week."

[1657] Step 15:

[1658] Server-generated alerts and recommended actions are sent to the device.

[1659] Step 16:

[1660] The device notifies the user of alerts and recommended actions received and suggests specific actions to take.

[1661] These steps allow users to plan their progress towards their goals, allowing them to enrich their lives while maintaining balance.

[1662] Example 1

[1663] 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."

[1664] Conventional goal management systems have been unable to comprehensively support users in the process of setting goals, from planning to progress management. It has also been difficult to check the balance between each category and provide appropriate alerts and feedback in real time regarding shortfalls. This has prevented users from efficiently progressing toward achieving their goals. The present invention aims to solve these problems and provide a system that comprehensively supports users' goal achievement process.

[1665] 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.

[1666] In this invention, the server includes means for categorizing goals entered by the user, means for calculating the time required to achieve the goal and generating milestones for each category, means for receiving the user's activity data and updating the progress, means for generating the next tasks and points to note in real time using a generative AI model, means for analyzing the balance and generating alerts for any categories that are lacking, and means for sending the alerts and feedback to the user's device. This allows the user to manage planned and balanced progress toward achieving their goal and receive appropriate tasks and alerts in real time.

[1667] "Categories" are groups that categorize the goals that users set, and generally refer to areas such as health, finances, and knowledge.

[1668] A "milestone" is an intermediate point on the way to achieving a goal or a specific target that must be achieved, and is an important progress indicator that is set by counting backwards over a period of time.

[1669] "Activity data" refers to information about the specific actions and tasks a user takes in their daily life and toward achieving their goals.

[1670] A "generative AI model" is a technical model based on artificial intelligence that generates the next task or point of attention based on user data.

[1671] "Real-time" refers to being roughly simultaneous, meaning responding to user input and actions and providing immediate feedback.

[1672] "Alerts" refer to warnings or recommendations that alert users to areas of imbalance or deficiencies in the process of achieving their goals.

[1673] "Feedback" refers to advice and suggestions for next actions provided based on a user's progress and behavior.

[1674] A "terminal" is a device that a user uses to interact with the system, typically a smartphone, tablet, or PC.

[1675] "Server" refers to the computer system used to store and analyze user input data and generate feedback.

[1676] A system for implementing the present invention comprehensively supports users in everything from goal setting to progress management and alert notifications. The system exchanges data between a server, a terminal, and a user to help the user achieve their goals. Specific embodiments of the system are described below.

[1677] User (User):

[1678] Users use the system to set goals and enter their daily activities and progress. Users interact with the system through their devices.

[1679] Terminal (terminal):

[1680] The device receives input from the user and sends it to the server. It also displays feedback and alerts from the server to the user. Devices can be smartphones, tablets, or PCs. Examples of devices include the Apple iPhone, Samsung Galaxy, and Microsoft Surface.

[1681] Server (Server):

[1682] The server analyzes the data sent by the user and classifies the goals into categories. It uses Python scripts and NLP tools (e.g., spaCy) for analysis. It also stores the data in a MySQL database and, if necessary, uses a generative AI model (e.g., OpenAI's GPT-3) to generate the next task or alert. The server can be hosted on a common cloud service such as Amazon Web Services (AWS), Microsoft Azure, or Google Cloud Platform (GCP).

[1683] Specific examples

[1684] goal setting

[1685] User: Accesses the Goals screen and enters the goal they want to achieve. For example, they might enter "I want to travel around the world in 10 years."

[1686] Example prompt:

[1687] "Set goals and milestones to travel around the world in 10 years."

[1688] Terminal: Receives the entered goal as text data and sends it to the server. When the submit button is clicked, JavaScript code sends the data to the server's API endpoint.

[1689] Server: Analyzes the received data and classifies it into categories. For example, a Python script analyzes the data using an NLP tool (spaCy). Then, it stores the data in a MySQL database.

[1690] Planning and progress management

[1691] Server: Calculate the time until the final goal and generate milestones for each category. For example, use a Python calculation library (NumPy) on the server to calculate the time and generate milestones for each category.

[1692] Terminal: Display the received plan to the user and ask for confirmation. Update the UI component to display the plan data using React.js and display a message to the user asking for confirmation.

[1693] Daily life support and feedback

[1694] User: Enters daily activities and progress into the device. For example, "I studied English for an hour today."

[1695] Example prompt:

[1696] "I just told you I've been studying English for an hour. What language should I learn next?"

[1697] Server: Analyzes the received data and updates the progress to a database. Using a generative AI model (OpenAI's GPT-3), it generates the next tasks and points to be focused on in real time.

[1698] Terminal: The terminal receives feedback and displays it to the user, updating the UI using React.js and providing a concrete plan of action.

[1699] Balance Checks and Alerts

[1700] Server: Periodically analyzes user activity data and checks the balance for each category. This is done using the Python Pandas library.

[1701] Server: Generates alerts for missing parts based on the analysis results. Generates alert messages using a generative AI model (OpenAI's GPT-3).

[1702] On the device: Notify the user of received alerts and recommended actions and suggest specific actions. Use React.js to update the UI to display notification messages and provide specific plans of action.

[1703] Through these processes, users can manage planned and balanced progress towards achieving their goals and receive appropriate tasks and alerts in real time.

[1704] The flow of the identification process in the first embodiment will be described with reference to FIG.

[1705] Step 1:

[1706] User: Accesses the goal screen and enters the goal they want to achieve. For example, they enter "I want to travel around the world in 10 years" in the text box. This input is sent to the device.

[1707] Specific actions: Open the system's goal setting screen in a smartphone or PC browser, enter your goal in text format in the input form, and click the "Submit" button.

[1708] Input: User goal (text data)

[1709] Output: The target data is sent to the device.

[1710] Step 2:

[1711] Terminal: Receives the input goal as text data and sends it to the server. JavaScript code sends the data to the server's API endpoint.

[1712] What happens: When you click the "Submit" button, the JavaScript code triggers an event and sends the goal data in JSON format to the server.

[1713] Input: User goal data (text format)

[1714] Output: Goal data is sent to the server's API endpoint

[1715] Step 3:

[1716] Server: Analyzes the received data and classifies goals into categories such as health, finance, knowledge, etc. Analyzes the data using an NLP tool (e.g., spaCy) and stores it in a MySQL database.

[1717] What it does: A Python script parses the received data and uses NLP tools to classify goals into categories, then stores the data in a MySQL database.

[1718] Input: Goal data (JSON format)

[1719] Output: Classified target data is saved in the database

[1720] Step 4:

[1721] Server: Calculate the time required to achieve the goal and generate milestones for each category. Use a Python calculation library (e.g., NumPy) to calculate the time.

[1722] What it does: A Python script reads the goal data stored in the database, calculates the time period backwards, and generates milestones for each category.

[1723] Input: Categorized target data (database)

[1724] Output: Milestone data (stored in the database)

[1725] Step 5:

[1726] Server: Sends the generated plans to the terminal. Uses the Django framework to send the plan data in JSON format via API.

[1727] Specific operation: The Django framework retrieves the planning data and sends it to the terminal through the API endpoint.

[1728] Input: Milestone data (database)

[1729] Output: Planning data (sent to the terminal in JSON format)

[1730] Step 6:

[1731] On the device: Display the received plan to the user and ask for confirmation. Update the UI component that displays the plan data using React.js and show a confirmation message to the user.

[1732] What happens: React.js receives the plan data, updates the UI, and displays a confirmation button to the user.

[1733] Input: Planning data (JSON format)

[1734] Output: The updated UI is displayed to the user

[1735] Step 7:

[1736] User: Enter daily activities and progress into the device. For example, "I studied English for an hour today."

[1737] Specific actions: Enter the details of your activity in the entry form and click the "Submit" button.

[1738] Input: Activity data (text format)

[1739] Output: Activity data is sent to the terminal

[1740] Step 8:

[1741] On the device: The activity data entered is formatted and sent to the server. JavaScript code sends the data to the server API.

[1742] What it does: JavaScript formats the input data and sends it to the server API in JSON format.

[1743] Input: Activity data (text format)

[1744] Output: Formatted data is sent to the server

[1745] Step 9:

[1746] Server: Analyzes the received data, updates the progress, and generates the next tasks and points to be focused on using a generative AI model (e.g., OpenAI's GPT-3).

[1747] What it does: A Python script parses the data, updates a database with progress, and uses a generative AI model to generate feedback.

[1748] Input: Activity data (JSON format)

[1749] Output: Updated progress data (database)

[1750] Step 10:

[1751] Terminal: Receive feedback and display it to the user. Display the feedback in the UI using React.js.

[1752] What happens: React.js receives the feedback data, updates the UI, and displays it to the user.

[1753] Input: Feedback data (JSON format)

[1754] Output: The updated UI is displayed to the user

[1755] Step 11:

[1756] Server: Periodically analyzes user activity data and checks the balance of each category. Analyzes the data using the Python Pandas library.

[1757] What it does: A script runs periodically to extract data from the database and check the balance using the Pandas library.

[1758] Input: User activity data (database)

[1759] Output: Balance analysis data (internal processing)

[1760] Step 12:

[1761] Server: Based on the analysis results, generate alerts for missing parts. Generate alert messages using a generative AI model (OpenAI's GPT-3).

[1762] Specific operation: Based on the analysis results, an appropriate alert message is generated using a generative AI model.

[1763] Input: Balance analysis data (internal processing)

[1764] Output: Alert data (JSON format)

[1765] Step 13:

[1766] On the device: Notify users of received alerts and recommended actions, and suggest specific actions. Display notification messages using React.js.

[1767] Specific behavior: React.js receives the alert data, updates the UI, and displays the notification message.

[1768] Input: Alert data (JSON format)

[1769] Output: Updated UI showing notification to user

[1770] (Application example 1)

[1771] 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."

[1772] Managing the operation and maintenance schedules of autonomous vehicles is extremely complex, making it important to understand progress in real time and generate alerts. However, conventional systems have difficulty managing these tasks comprehensively and centrally, which can result in inefficient vehicle operation and oversight of maintenance. Therefore, there is a need for a system that can comprehensively manage the operation and maintenance of autonomous vehicles.

[1773] 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.

[1774] In this invention, the server includes means for categorizing goals entered by the user, means for calculating the time period until the goal is achieved and generating milestones for each category, means for receiving user activity data and updating the progress, means for managing the operation schedule of the autonomous vehicle, means for managing the maintenance progress, and means for sending alerts and feedback to the user's terminal, thereby enabling efficient operation management and maintenance progress management of the autonomous vehicle.

[1775] A "user" is an entity that uses the system to set goals and input daily activities and progress.

[1776] A "goal" is a specific purpose or outcome that a user wants to achieve.

[1777] "Categories" are categories for organizing and classifying goals and tasks, and include health, finance, knowledge, operation management, maintenance, etc.

[1778] A "milestone" is a specific intermediate achievement or deadline toward achieving a goal.

[1779] A "server" is an information processing device that analyzes data sent from users and performs processes such as goal management, progress management, and alert generation.

[1780] A "terminal" is a device on which a user inputs goals and daily activities and receives feedback and alerts from the server, and includes smartphones and tablets.

[1781] "Progress" refers to the user's progress and degree of achievement toward achieving their goal.

[1782] Analyzing "balance" means evaluating and confirming whether progress in each category is balanced.

[1783] An "alert" is a warning or notice that notifies the user of missing categories and required action.

[1784] "Feedback" refers to information that suggests or notifies the user of the next task or activity to be undertaken based on their activity data.

[1785] An "operation schedule" refers to the operation plan or timetable for an autonomous vehicle.

[1786] "Maintenance" refers to upkeep and management work such as maintenance, inspection, and repair of autonomous vehicles.

[1787] The system for implementing this invention comprehensively supports users in everything from setting goals to managing progress and sending alerts. The system exchanges data between a server, a terminal, and the user to help users achieve their goals. It also integrates functions to comprehensively support the operation management and maintenance progress of autonomous vehicles.

[1788] System configuration

[1789] User (User):

[1790] The system allows users to set goals and input daily activities and progress. Users interact with the system through their devices. In addition, the system allows users to input and manage the operation schedule and maintenance progress of the autonomous vehicle.

[1791] Terminal (terminal):

[1792] It receives input information from the user and sends it to the server. It also displays feedback and alerts from the server to the user. The device is expected to be a smartphone, tablet, PC, etc.

[1793] Server (Server):

[1794] It analyzes data submitted by users, categorizes goals, calculates backward to generate milestones, and manages progress. It also manages the autonomous vehicle's operation schedule and tracks maintenance progress. It checks the balance as needed and generates alerts for shortfalls.

[1795] Specific processing flow

[1796] Users access the system from their devices and input their goals, such as "I want to be able to speak English fluently." The device then sends the input goals to the server, which then categorizes the goals and generates milestones by working backwards. The generated plan is then sent to the device and displayed to the user.

[1797] Next, the user enters their daily activities and progress into the device. For example, they can enter, "I studied English for an hour today." The device then sends the entered data to the server, which then updates the progress. The server also manages the autonomous vehicle's operation schedule and maintenance progress log, and generates alerts for overdue tasks.

[1798] Based on the feedback received, users can decide on their next action and continuously manage their progress. For example, they can take specific actions such as "The oil change for vehicle A is due tomorrow, so I will prepare for that today."

[1799] Hardware and Software

[1800] Hardware:

[1801] The server at the heart of the system is hosted on a cloud platform (such as AWS or Google Cloud), and devices include smartphones (iOS / Android), tablets, and PCs.

[1802] software:

[1803] It uses Python as the programming language and Flask or Django as the web framework, Cloud Firestore or MySQL as the database, and uses a generative AI model for analysis, interpreting user input in natural language and generating appropriate milestones and notifications.

[1804] Examples of specific examples and prompts

[1805] For example, the following prompts can be used when managing vehicle operations:

[1806] Example prompt sentence:

[1807] command="log_event"

[1808] vehicle_id="v1"

[1809] log_type="run_log"

[1810] description="Completed 120km run."

[1811] By inputting this prompt into the generative AI model, an operation log is recorded and the server manages the vehicle's progress and generates appropriate alerts. This allows for centralized management of operation schedules and maintenance progress, enabling users to efficiently manage their vehicles through the system.

[1812] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[1813] Step 1:

[1814] The user enters a goal.

[1815] The user accesses the goal screen using a smartphone or tablet and enters their goal in text format. For example, they might enter, "I want to travel around the world in 10 years." The input is then sent to the server by the device.

[1816] Step 2:

[1817] The server categorizes the goals.

[1818] The server analyzes the received goal text and classifies it into categories such as health, finance, knowledge, etc. Using natural language processing, a generative AI model determines the appropriate category. For example, a travel goal might be classified into the "finance" category.

[1819] Step 3:

[1820] The server generates the milestones.

[1821] The server calculates backwards the time it takes to achieve the goal and sets milestones for each category, generating specific milestones such as "saving 1 million yen in five years" or "complete vaccinations in three years."

[1822] Step 4:

[1823] The server sends the plan to the user.

[1824] The generated plan is sent from the server to the device, which displays the plan to the user, who can then review the plan and provide feedback if any adjustments are required.

[1825] Step 5:

[1826] The user enters activity data.

[1827] Users input their daily activities and progress into the device. For example, they might input, "I studied English for one hour today." The input data is then sent from the device to the server.

[1828] Step 6:

[1829] The server will update you on the progress.

[1830] The server analyzes the received activity data and updates the progress. It converts the input data into an appropriate format and stores it in the database. For example, it updates the status to "30% progress in learning English."

[1831] Step 7:

[1832] The server generates the next task to be tackled.

[1833] It uses a generative AI model to generate next tasks and points of attention based on the user's progress, for example, "Next, start learning Spanish."

[1834] Step 8:

[1835] The server analyzes the balance and generates an alert.

[1836] The server periodically analyzes the user's activity data and generates alerts for any imbalances in the categories, such as "You haven't been exercising much recently. We recommend exercising three times a week."

[1837] Step 9:

[1838] Your device will display alerts and feedback.

[1839] Alerts and feedback received from the server are notified to the user via the device, who then confirms the specific action and decides on the next course of action.

[1840] 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.

[1841] The system for implementing this invention comprehensively supports users in everything from goal setting to progress management, alert notifications, and emotion recognition. The system exchanges data between a server, a device, and the user to help the user achieve their goals and provide feedback that takes into account emotional fluctuations.

[1842] System configuration

[1843] User (User):

[1844] The system allows users to set goals and input their daily activities and progress. Users interact with the system through their devices.

[1845] Terminal (terminal):

[1846] It receives input information from the user and sends it to the server. It also displays feedback, alerts, and actions based on emotions from the server to the user. The device is expected to be a smartphone, tablet, or PC.

[1847] Server (Server):

[1848] It analyzes data sent by users and categorizes goals. It works backwards to generate milestones and manages progress. It checks balances as needed and generates alerts for shortfalls. It also has an emotion engine that analyzes users' emotional data and generates emotion-based feedback and recommended actions.

[1849] Specific processing flow

[1850] goal setting

[1851] 1. User: Access the goal screen and enter the goal they want to achieve. For example, they might enter, "I want to travel around the world in 10 years."

[1852] 2. Terminal: Receives the entered goal as text data and sends it to the server.

[1853] 3. Server: Analyzes the received data and classifies goals into categories such as health, finance, knowledge, etc. For example, the goal of "traveling around the world" can be classified into "health (vaccinations, physical fitness)," "finance (saving money)," and "knowledge (learning a language)."

[1854] 4. Server: Performs initial configuration and stores user data in the database.

[1855] Planning

[1856] 1. Server: Calculates backwards the time required to reach the final goal and generates the necessary milestones for each category. For example, create milestones such as saving 1 million yen in 5 years, completing all vaccinations in 3 years, and learning a major language in 2 years.

[1857] 2. Server: Sends the generated plan (milestones) to the terminal.

[1858] 3. Terminal: Displays the received plan to the user and asks for confirmation.

[1859] Daily life support

[1860] 1. User: Enters and reports daily activities and progress into the device. For example, "I studied English for an hour today."

[1861] 2. Terminal: Formats the entered data and sends it to the server.

[1862] 3. Server: Analyzes the received data and updates the progress to a database. It generates real-time feedback such as, "You're making good progress with English, so next time you should study more Spanish."

[1863] 4. Terminal: Receives feedback and displays it to the user.

[1864] Emotion Recognition and Action

[1865] 1. User: Enter their feelings and experiences related to achieving their goal into the device. For example, they might enter, "Studying today was fun."

[1866] 2. Terminal: Sends the input emotion data to the server.

[1867] 3. Server: The emotion engine analyzes the received emotion data.

[1868] 4. Server: Generates feedback based on the emotional data to maintain or improve the user's motivation, such as "Good progress! Now it's time to keep this motivation up and start learning a new language."

[1869] 5. On the device: Display emotion-based feedback to the user.

[1870] Balance Checks and Alerts

[1871] 1. Server: Periodically analyzes user activity and sentiment data to check the balance of each category, for example, whether the progress in health, finances, and knowledge is balanced.

[1872] 2. Server: Based on the analysis results, generate an alert about any shortcomings. For example, generate an alert such as "You haven't been exercising much recently, so we recommend that you exercise three times a week."

[1873] 3. Server: Sends alerts and recommended actions to the device.

[1874] 4. On-device: Notifies the user of received alerts and recommended actions, and suggests specific actions to take.

[1875] By performing the above process, users can plan their progress toward their goals, maintain balance while taking into consideration emotional fluctuations, and enrich their lives.

[1876] The processing flow will be explained below.

[1877] Step 1:

[1878] The user accesses the goal setting screen and inputs the goal they want to achieve. For example, they input "I want to travel around the world in 10 years."

[1879] Step 2:

[1880] The terminal receives the inputted goal as text data and transmits it to the server.

[1881] Step 3:

[1882] The server analyzes the received data and classifies the goals into categories such as health, finance, knowledge, etc. For example, the goal of "traveling around the world" can be classified into "health (vaccinations, physical fitness)," "finance (saving money)," and "knowledge (language learning)."

[1883] Step 4:

[1884] The server performs the initial setup and stores it in the database as user data.

[1885] Step 5:

[1886] The server calculates backwards the time required to reach the final goal and generates the necessary milestones for each category, such as saving 1 million yen in five years, completing all vaccinations in three years, and learning a major language in two years.

[1887] Step 6:

[1888] The server sends the generated plan (milestones) to the terminal.

[1889] Step 7:

[1890] The device displays the received plan to the user and asks for confirmation.

[1891] Step 8:

[1892] Users can enter and report their daily activities and progress, for example, "I studied English for an hour today."

[1893] Step 9:

[1894] The terminal formats the entered data and sends it to the server.

[1895] Step 10:

[1896] The server analyzes the received data and updates the database with the progress.

[1897] Step 11:

[1898] The server generates real-time feedback based on progress data, such as "You're making good progress in English, so next you should study more Spanish."

[1899] Step 12:

[1900] The device displays the feedback received from the server to the user.

[1901] Step 13:

[1902] The user inputs their feelings and experiences related to achieving their goal into the device. For example, they might input, "Studying today was fun."

[1903] Step 14:

[1904] The terminal transmits the input emotion data to the server.

[1905] Step 15:

[1906] The server analyzes the received emotion data using an emotion engine.

[1907] Step 16:

[1908] The server generates feedback based on the emotional data to maintain or improve the user's motivation, such as "Good progress! Now, keep up your motivation and start learning a new language."

[1909] Step 17:

[1910] The device displays emotion-based feedback to the user.

[1911] Step 18:

[1912] The server periodically analyzes the user's activity and emotional data to check the balance of each category, for example, whether the progress in health, finances, and knowledge is balanced.

[1913] Step 19:

[1914] Based on the analysis results, the server generates an alert about any shortcomings. For example, it generates an alert such as "You haven't been exercising much recently, so we recommend that you exercise three times a week."

[1915] Step 20:

[1916] Server-generated alerts and recommended actions are sent to the device.

[1917] Step 21:

[1918] The device notifies the user of alerts and recommended actions received and suggests specific actions to take.

[1919] By following these steps, users can plan their progress toward their goals, maintain balance while taking into account emotional fluctuations, and enrich their lives.

[1920] Example 2

[1921] 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."

[1922] While traditional goal management systems focus on user goal setting and progress management, they lack the means to maintain users' emotional and motivational fluctuations. Furthermore, when creating a plan to achieve a goal, the system lacks sufficient feedback and alert functions for missing categories, making it difficult for users to lead a balanced life.

[1923] 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.

[1924] In this invention, the server includes means for categorizing goals entered by the user, means for calculating the time required to achieve the goal and generating milestones for each category, means for receiving the user's activity data and updating the progress, means for receiving and analyzing emotion data, means for generating feedback to maintain the user's motivation based on the analysis results, means for analyzing balance and generating alerts for categories where there is a deficiency, and means for sending alerts and feedback to the user's device. This enables the user to set goals, manage progress, respond to emotional fluctuations, receive balanced feedback, and improve their quality of life.

[1925] "User" refers to an individual who uses the system to set goals, enter activities and progress, and receive feedback and alerts.

[1926] "Server" refers to the computer system that plays a central role in receiving, analyzing, and classifying user goals and progress data, generating feedback and alerts, and sending them to the device.

[1927] "Device" means a device operated by a user to input goal and activity data and receive and display feedback and alerts from the server, and includes smartphones, tablets, PCs, etc.

[1928] A "goal" refers to a specific action or state that a user aims to achieve and is input into the system.

[1929] "Categories" are criteria for categorizing users' goals into specific themes or areas, such as health, finances, knowledge, etc.

[1930] "Milestones" are intermediate indicators or sub-goals that serve as a benchmark for measuring progress toward achieving a user's ultimate goal.

[1931] "Activity data" refers to data that records the actions and progress of users in their daily lives.

[1932] "Emotional data" refers to data that users input into the system to analyze their emotions and experiences related to achieving their goals.

[1933] "Feedback" refers to instructions or advice provided to the user by the server based on the analysis results.

[1934] "Alert" refers to a notification sent by the server to alert the user based on the analysis results.

[1935] "Analyzing" refers to the process by which the server applies specific rules and algorithms to derive information from the data it receives.

[1936] The present invention is a system that provides integrated support for user goal setting, progress management, emotion recognition, and feedback. This system enables users to receive the information and support they need to achieve their goals through data exchange between a server, a terminal, and the user.

[1937] System Configuration

[1938] user

[1939] Users use the system to set goals and enter their daily activities and progress. Users interact with the system through devices such as smartphones, tablets, and computers.

[1940] Terminal

[1941] The terminal receives input information from the user and sends it to the server. It also displays feedback, alerts, and actions based on the user's emotions from the server. The terminal can be a smartphone, tablet, PC, or other device.

[1942] server

[1943] The server analyzes the data sent by the user and categorizes the goals. It then works backwards to generate milestones and manages progress. It checks the balance as needed and generates alerts for shortfalls. It also has an emotion engine that analyzes the user's emotional data and generates emotion-based feedback and recommended actions.

[1944] Processing Details

[1945] goal setting

[1946] 1. User: Accesses the goal screen and enters, for example, "I want to travel around the world in 10 years."

[1947] 2. Terminal: Receives the entered goal as text data and sends it to the server.

[1948] 3. Server: Analyzes the received data and classifies goals into categories such as health, finance, knowledge, etc. For example, the goal of "traveling around the world" can be classified into "health (vaccinations, physical fitness)," "finance (saving money)," and "knowledge (learning a language)."

[1949] 4. Server: Stores the classified target data in a database.

[1950] Planning

[1951] 1. Server: Calculates backwards the time required to reach the final goal and generates the necessary milestones for each category. For example, create milestones such as saving 1 million yen in 5 years, completing all vaccinations in 3 years, and learning a major language in 2 years.

[1952] 2. Server: Sends the generated plan (milestones) to the terminal.

[1953] 3. Terminal: Displays the received plan to the user and asks for confirmation.

[1954] Daily life support

[1955] 1. User: Enters and reports daily activities and progress into the device. For example, "I studied English for an hour today."

[1956] 2. Terminal: Formats the entered data and sends it to the server.

[1957] 3. Server: Analyzes the received data and updates the progress to a database. It generates real-time feedback such as, "You're making good progress with English, so next time you should study more Spanish."

[1958] 4. Terminal: Receives feedback and displays it to the user.

[1959] Emotion Recognition and Action

[1960] 1. User: Enter their feelings and experiences related to achieving their goal into the device. For example, they might enter, "Studying today was fun."

[1961] 2. Terminal: Sends the input emotion data to the server.

[1962] 3. Server: The emotion engine analyzes the received emotion data.

[1963] 4. Server: Generates feedback based on the emotional data to maintain or improve the user's motivation, such as "Good progress! Now it's time to keep this motivation up and start learning a new language."

[1964] 5. On the device: Display emotion-based feedback to the user.

[1965] Balance Checks and Alerts

[1966] 1. Server: Periodically analyzes user activity and sentiment data to check the balance of each category, for example, whether the progress in health, finances, and knowledge is balanced.

[1967] 2. Server: Based on the analysis results, generate an alert about any shortcomings. For example, generate an alert such as "You haven't been exercising much recently, so we recommend that you exercise three times a week."

[1968] 3. Server: Sends alerts and recommended actions to the device.

[1969] 4. On-device: Notifies the user of received alerts and recommended actions, and suggests specific actions to take.

[1970] Specific examples

[1971] User-specified goal: "I want to travel around the world in 10 years."

[1972] Examples of generated milestones: Save 1 million yen in 5 years, complete all vaccinations in 3 years, learn a major language in 2 years.

[1973] Example of emotion input: Input "Studying today was fun."

[1974] Example prompt for a generative AI model: "Write an algorithm that analyzes emotional data entered by a user and generates feedback to maintain motivation."

[1975] This invention allows users to plan ahead towards their goals, maintain balance while taking into account emotional fluctuations, and enrich their lives.

[1976] The flow of the identification process in the second embodiment will be described with reference to FIG.

[1977] Step 1:

[1978] The user accesses the goal screen and inputs the goal they want to achieve. For example, they might input "I want to travel around the world in 10 years." The input goal is saved as text data on the device. Input: Text data of the goal. Output: Saved text data.

[1979] Step 2:

[1980] The device receives the entered goal as text data and sends it to the server using an API call. Input: Saved text data. Output: Data sent to the server.

[1981] Step 3:

[1982] The server analyzes the received data using a text analysis engine and classifies the goals into categories such as health, finance, knowledge, etc. For example, the goal of "traveling around the world" is classified into "health (vaccinations, physical fitness)," "finance (saving money)," and "knowledge (language learning)." Input: Text data sent to the server. Output: Goal data classified into categories.

[1983] Step 4:

[1984] The server saves the categorized target data in the database and completes the initial setup. Input: Target data categorized. Output: Target data stored in the database.

[1985] Step 5:

[1986] The server calculates backwards the time required to achieve the goal and generates the necessary milestones for each category. For example, it creates milestones such as saving 1 million yen in five years, completing all vaccinations in three years, and learning a major language in two years. Input: Goal data stored in the database. Output: Generated milestone data.

[1987] Step 6:

[1988] The server sends the generated plan (milestones) to the terminal. Input: Generated milestone data. Output: Data sent to the terminal.

[1989] Step 7:

[1990] The terminal displays the received plan to the user and asks for the user's confirmation, for example, by displaying it in a pop-up window or a notification message. Input: Data sent to the terminal. Output: Milestones displayed on the user screen.

[1991] Step 8:

[1992] Users input their daily activities and progress into the device and report them. For example, they might input, "I studied English for an hour today." Input: User's daily activity data. Output: Activity data saved on the device.

[1993] Step 9:

[1994] The terminal formats the input activity data and sends it to the server. Input: Activity data stored on the terminal. Output: Data sent to the server.

[1995] Step 10:

[1996] The server analyzes the received activity data and updates the progress status in the database. It generates the next tasks and points to pay attention to in real time. For example, it generates feedback such as "You're making good progress in English, so next you should study more Spanish." Input: Activity data sent to the server. Output: Analyzed progress data and generated feedback data.

[1997] Step 11:

[1998] The server sends the generated feedback data to the terminal. Input: Parsed progress data and generated feedback data. Output: Data sent to the terminal.

[1999] Step 12:

[2000] The device displays the feedback on the user's screen, for example in the notification bar or in a message in the app. Input: Data sent to the device. Output: Feedback displayed on the user's screen.

[2001] Step 13:

[2002] The user inputs their emotions and experiences related to achieving their goal into the device. For example, they might input, "Studying today was fun." Input: User's emotional data. Output: Emotional data stored on the device.

[2003] Step 14:

[2004] The device sends the input emotion data to the server. Input: Emotion data stored in the device. Output: Data sent to the server.

[2005] Step 15:

[2006] The server analyzes the received emotion data using the emotion engine. Input: Emotion data sent to the server. Output: Analyzed emotion data.

[2007] Step 16:

[2008] The server generates feedback based on the emotion data to maintain or improve the user's motivation. For example, "Good progress! Now, keep up your motivation and start learning a new language." Input: Analyzed emotion data. Output: Generated feedback data.

[2009] Step 17:

[2010] The server sends the generated feedback data to the terminal. Input: Generated feedback data. Output: Data sent to the terminal.

[2011] Step 18:

[2012] The device displays emotion-based feedback to the user, for example in the notification bar or in-app messages. Input: Data sent to the device. Output: Feedback displayed on the user's screen.

[2013] Step 19:

[2014] The server periodically analyzes the user's activity data and emotion data to check the balance of each category, for example, whether the progress in health, finance, and knowledge is balanced. Input: Activity data and emotion data obtained from the database. Output: Balance check score.

[2015] Step 20:

[2016] The server generates an alert based on the analysis results for any shortcomings. For example, it generates an alert such as "You have not been exercising much recently, so we recommend that you exercise three times a week." Input: Balance check score. Output: Generated alert data.

[2017] Step 21:

[2018] The server sends alerts and recommended actions to the device. Input: Generated alert data. Output: Data sent to the device.

[2019] Step 22:

[2020] The device notifies the user of the received alerts and recommended actions and suggests specific actions to take, for example, by displaying them in a pop-up window or notification message. Input: Data sent to the device. Output: Alerts and recommended actions displayed on the user screen.

[2021] (Application example 2)

[2022] 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."

[2023] Conventional goal management systems focus on managing user activity data and progress, but lack the functionality to provide feedback that takes into sufficient consideration user emotional fluctuations. As a result, users lose motivation midway through achieving their goals, making it difficult to achieve them as planned. Furthermore, the lack of a system for monitoring the operating status and performance of work robots in factories and providing appropriate feedback can lead to a decline in production efficiency.

[2024] The specific processing by the specific processing unit 290 of the data processing device 12 in the application example 2 is realized by the following means.

[2025] In this invention, the server includes a means for categorizing goals entered by the user, a means for calculating the time required to achieve the goal and generating milestones for each category, a means for determining the user's emotional state through emotion recognition and generating feedback to maintain or improve motivation, a means for sending alerts and feedback to the user's device, a means for analyzing emotions using a generative AI model, and a means for generating feedback content based on specific prompts. This allows for providing effective feedback that takes into account the user's emotional state and maintaining motivation toward goal achievement. Furthermore, by monitoring the operating status and performance of factory robots in real time and providing appropriate feedback, production efficiency can be improved.

[2026] A "user" is a person or individual who uses the system to set goals and input daily activities and progress.

[2027] "Goals" are specific objectives or goals that users set to achieve, and are categorized into categories such as health, finances, and knowledge.

[2028] A "category" is a broad grouping for categorizing goals, such as health, finances, or knowledge.

[2029] A "milestone" is an intermediate goal leading up to the final goal, and is an important indicator for checking progress.

[2030] "Progress" indicates the current level of achievement and progress toward the goals set by the user.

[2031] "Emotion recognition" is a technology that estimates and determines a user's emotional state from input data and activity data.

[2032] "Motivation" refers to the internal motivation that keeps users motivated to achieve their goals.

[2033] "Feedback" is information and advice the system generates based on the user's progress and emotional state, including next tasks and areas for improvement.

[2034] A "generative AI model" is an algorithm or program that uses artificial intelligence techniques to generate feedback based on a user's emotional state and prompts.

[2035] A "prompt sentence" is an input or instruction sentence that instructs a generative AI model to generate specific feedback content.

[2036] "Terminal" means the device a user uses to interact with the system, such as a smartphone, tablet, or PC.

[2037] The "server" is the central part of the system that analyzes the data sent by users, categorizes goals, and generates milestones.

[2038] An "alert" is a warning message that informs the user of gaps in progress or things that require attention.

[2039] This invention is a system that comprehensively supports users in everything from goal setting to progress management, alert notifications, and emotion recognition. The system exchanges data between the server, device, and user, helping users achieve their goals and providing feedback that takes their emotional state into consideration.

[2040] System configuration

[2041] user:

[2042] The system allows users to set goals and input their daily activities and progress. Users interact with the system through their devices.

[2043] Device:

[2044] It receives input information from the user and sends it to the server. It also displays feedback, alerts, and actions based on the user's emotions from the server. The device can be a smartphone, tablet, or PC.

[2045] server:

[2046] It analyzes data sent by users and categorizes goals. It works backwards to generate milestones and manages progress. It checks the balance as needed and generates alerts for shortfalls. It also has an emotion engine that analyzes users' emotional data and generates emotion-based feedback and recommended actions. This provides feedback that maintains or improves the user's motivation.

[2047] Hardware and software used

[2048] Hardware:

[2049] User's device (smartphone, tablet, PC)

[2050] Server (cloud server)

[2051] software:

[2052] Django (Python web framework)

[2053] It receives data from users, categorizes goals, generates milestones, and analyzes sentiment data.

[2054] ROS (Robot Operating System)

[2055] Collects and sends robot status data and communicates with the server.

[2056] Emotion Recognition Engine

[2057] Analyzes user emotional data and generates emotion-based feedback.

[2058] Explanation with concrete examples

[2059] For example, if a factory robot assembles products, recent data indicates that it has been operating for long periods of time and is overloaded. In this case, the Django server records the robot's emotional state as "high load" and generates feedback to reduce its work speed. Based on this, a notification is sent to the administrator's smartphone app. Similarly, if a user plans a trip, the server categorizes it into "finance," "health," and "knowledge" categories and sets milestones for each category. When a user enters their daily activities, their progress is sent to the server and analyzed in real time. For example, based on the data "I studied English for one hour today," feedback such as "Study Spanish for 15 more minutes" is generated as the next task.

[2060] Prompt Sentence Examples

[2061] Develop a program using Django and ROS to collect and analyze robot operation data and generate appropriate feedback for robots under heavy load. Create a prompt based on the following conditions:

[2062] Using Django with Python

[2063] Create a ROS node and listen to the robot's status

[2064] Applying emotion recognition engines to generate feedback

[2065] Notify the robot of the feedback you created

[2066] As described above, this system not only supports goal achievement, but also maintains motivation and supports goal achievement by providing effective feedback that takes into account the user's emotional state.Furthermore, it can improve production efficiency by monitoring the operating status of factory robots in real time and providing appropriate feedback.

[2067] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[2068] Step 1:

[2069] The user sets a goal through the device. The user inputs text data, such as "I want to travel around the world in 10 years." The device receives the input goal and sends the data to the server.

[2070] Input: Text data for goal setting

[2071] Output: Send data to the server

[2072] Step 2:

[2073] The server analyzes the received goal data and classifies the goals into several categories. For example, the goal of "traveling around the world" can be divided into categories such as "health," "finance," and "knowledge." The analysis is performed using natural language processing technology.

[2074] Input: Text data for goal setting

[2075] Output: Target data by category

[2076] Step 3:

[2077] The server calculates backwards to generate milestones. For example, it creates the necessary steps for each category, such as saving 1 million yen in five years and completing all vaccinations in three years. This makes it possible to visualize the specific steps required to achieve the goal.

[2078] Input: Category-specific goal data

[2079] Output: Generated milestone data

[2080] Step 4:

[2081] Users enter their daily activities and progress into the device, which then formats the data and sends it to the server, for example, "I studied English for one hour today."

[2082] Input: Daily activities and progress data

[2083] Output: Send data to the server

[2084] Step 5:

[2085] The server analyzes the received activity data in real time and updates the progress status to a database. Feedback is generated based on the progress status to determine the next task or point of attention. For example, "You're making good progress with English, so next you should study more Spanish."

[2086] Input: Activity data

[2087] Output: Progress updates, generating feedback

[2088] Step 6:

[2089] The user inputs their feelings and experiences about the activity into the device. For example, they might input, "Studying today was fun." The device formats the emotion data and sends it to the server.

[2090] Input: Emotion data

[2091] Output: Send data to the server

[2092] Step 7:

[2093] The server uses an emotion engine to analyze the received emotion data and generate feedback based on the emotion data to maintain or improve the user's motivation. For example, the server might generate feedback like, "Good progress! Next, keep up your motivation and start learning a new language."

[2094] Input: Emotion data

[2095] Output: Generated feedback

[2096] Step 8:

[2097] The server periodically analyzes the user's activity and emotion data to check the balance of each category, for example, whether the progress in health, finances, and knowledge is balanced. If there is an imbalance, an alert is generated and actions are recommended for the category where there is a deficiency.

[2098] Input: Activity data, emotion data

[2099] Output: Balance analysis results, alert generation

[2100] Step 9:

[2101] The server generates alerts and sends feedback to the device to notify the user. The device receives the alerts and suggests specific actions to take, such as "You haven't been exercising much recently, so we recommend exercising three times a week."

[2102] Input: Alert, Feedback

[2103] Output: User notification and specific action suggestions

[2104] 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.

[2105] 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.

[2106] 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.

[2107] 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.

[2108] 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.

[2109] 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.

[2110] 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).

[2111] 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.

[2112] 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."

[2113] 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.

[2114] 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).

[2115] 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.

[2116] 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.

[2117] 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.

[2118] 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.

[2119] 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.

[2120] 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.

[2121] 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.

[2122] 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.

[2123] 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.

[2124] 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.

[2125] The following is further disclosed regarding the above embodiment.

[2126] (Claim 1)

[2127] A means of categorizing user-entered goals;

[2128] A way to calculate the time it takes to achieve a goal and generate milestones for each category.

[2129] a means for receiving user activity data and updating progress;

[2130] A means to analyze balances and generate alerts for missing categories;

[2131] A system that includes a means to send alerts and feedback to a user's device.

[2132] (Claim 2)

[2133] 10. The system of claim 1, wherein the goals are classified into health, financial, and knowledge categories.

[2134] (Claim 3)

[2135] The system according to claim 1, wherein the system analyzes the user's activity data in real time and provides feedback on the next task to be undertaken.

[2136] "Example 1"

[2137] (Claim 1)

[2138] A means of categorizing user-entered goals;

[2139] A way to calculate the time it takes to achieve a goal and generate milestones for each category.

[2140] a means for receiving user activity data and updating progress;

[2141] A method to generate next tasks and points to pay attention to in real time using generative AI models,

[2142] A means to analyze balances and generate alerts for missing categories;

[2143] A system that includes a means to send alerts and feedback to a user's device.

[2144] (Claim 2)

[2145] 10. The system of claim 1, wherein the goals are classified into health, financial, and knowledge categories.

[2146] (Claim 3)

[2147] The system of claim 1, wherein the system analyzes the user's activity data in real time and uses a generative AI model to provide feedback on the next task to be undertaken.

[2148] "Application Example 1"

[2149] (Claim 1)

[2150] A means of categorizing user-entered goals;

[2151] A way to calculate the time it takes to achieve a goal and generate milestones for each category.

[2152] a means for receiving user activity data and updating progress;

[2153] A means to analyze balances and generate alerts for missing categories;

[2154] A means for managing the operation schedule of the autonomous vehicle;

[2155] a means for managing the progress of maintenance;

[2156] A system that includes a means to send alerts and feedback to a user's device.

[2157] (Claim 2)

[2158] 10. The system of claim 1, wherein the goals are classified into health, financial, and knowledge categories.

[2159] (Claim 3)

[2160] The system according to claim 1, wherein the system analyzes the user's activity data in real time and provides feedback on the next task to be undertaken.

[2161] "Example 2: Combining Emotion Engines"

[2162] (Claim 1)

[2163] A means of categorizing user-entered goals;

[2164] A way to calculate the time it takes to achieve a goal and generate milestones for each category.

[2165] a means for receiving user activity data and updating progress;

[2166] means for receiving and analyzing emotion data;

[2167] A means for generating feedback based on the analysis results to maintain user motivation;

[2168] A means to analyze balances and generate alerts for missing categories;

[2169] A system that includes a means to send alerts and feedback to a user's device.

[2170] (Claim 2)

[2171] 10. The system of claim 1, wherein the goals are classified into health, financial, and knowledge categories.

[2172] (Claim 3)

[2173] The system according to claim 1, wherein the system analyzes the user's activity data and emotion data in real time and provides feedback on the next task to be undertaken.

[2174] "Application example 2 when combining emotion engines"

[2175] (Claim 1)

[2176] A means of categorizing user-entered goals;

[2177] A way to calculate the time it takes to achieve a goal and generate milestones for each category.

[2178] a means for receiving user activity data and updating progress;

[2179] A means to analyze balances and generate alerts for missing categories;

[2180] A means for determining the user's emotional state through emotion recognition and generating feedback to maintain or improve motivation;

[2181] A system that includes a means to send alerts and feedback to a user's device.

[2182] (Claim 2)

[2183] 10. The system of claim 1, wherein the goals are classified into health, financial, and knowledge categories.

[2184] (Claim 3)

[2185] The system according to claim 1, wherein the system analyzes the user's activity data in real time and provides feedback on the next task to be undertaken.

[2186] (Claim 4)

[2187] The system according to claim 1, further comprising means for analyzing emotions using a generative AI model when determining an emotional state through emotion recognition.

[2188] (Claim 5)

[2189] 5. The system of claim 4, further comprising means for using the generative AI model to generate feedback content based on a particular prompt sentence. [Explanation of symbols]

[2190] 10, 210, 310, 410 Data Processing Systems 12 Data Processing Device 14 Smart Devices 214 Smart Glasses 314 Headset-type terminal 414 Robot< / url:> < / url:> < / url:> < / url:>

Claims

1. A means of categorizing user-entered goals; A way to calculate the time it takes to achieve a goal and generate milestones for each category. a means for receiving user activity data and updating progress; A means to analyze balances and generate alerts for missing categories; and means for sending alerts and feedback to the user's device.

2. The system of claim 1 , wherein the goals are classified into health, financial, and knowledge categories.

3. The system according to claim 1 , wherein the activity data of the user is analyzed in real time and feedback is provided as to the next task to be tackled.

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