System

Abstract

A system is provided.SOLUTION: A system comprising: means for a user to set a goal and input a desired time to achieve the goal; means for receiving the goal and the desired time to achieve the goal input by the user and generating tasks and steps for achieving the goal based on generated AI; means for displaying the generated tasks and steps to the user; and means for providing reminders and advice as needed.SELECTED DRAWING: Figure 1

Description

[Technical Field]

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

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

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

[0004] People often have vague goals, but find it difficult to grasp a concrete plan or the amount of action required to achieve them. As a result, many goals end up unrealized. Large or long-term goals, in particular, often lack clear guidance and concrete information about what and how much work needs to be done. This can lead to a lack of clarity about the process of achieving a goal, which can lead to a decline in motivation. Furthermore, it can be difficult for users to efficiently manage themselves and track their progress. Therefore, there is a need for a system that allows users to set goals, present specific tasks and steps for achieving those goals, and manage progress. [Means for solving the problem]

[0005] To solve the above problems, the present invention provides the following means. It includes a means for a user to set a goal and input a desired timeframe for achieving that goal, and a means for receiving the goal and desired timeframe input by the user and generating tasks and steps for achieving the goal by calculating backwards based on a generation AI. It also includes a means for displaying the generated tasks and steps to the user, and a means for the user to input their daily task progress. By providing a means for analyzing the progress information input by the user and updating the goal achievement status, and a means for providing reminders and advice as needed, a system is realized that provides specific guidelines and motivation for the user to efficiently achieve their goals. Furthermore, it includes a means for saving the goals and desired timeframe set by the user in a database and providing confirmation of goal achievement and feedback based on the user's progress, thereby providing comprehensive support for the entire process leading up to goal achievement.

[0006] A "user" is someone who uses the system to set goals and manage tasks and progress toward achieving those goals.

[0007] A "goal" is a specific outcome or state that a user wants to achieve.

[0008] "Desired time frame" refers to the specific date or time period in which you would like to achieve your set goal.

[0009] "Generative AI" refers to artificial intelligence technology that reverse-calculates and generates the tasks and steps necessary to achieve a goal based on the goal set by the user and the desired time frame for achieving it.

[0010] A "task" is a specific action or activity that a user must take to achieve a goal.

[0011] A "step" is a specific stage or progression in a series of tasks that a user completes to achieve a goal.

[0012] "Reminders" refers to a feature that provides regular notifications and alerts to help users remember to progress with their set goals and tasks.

[0013] "Advice" refers to specific advice or tips provided to help users achieve their goals efficiently.

[0014] "Progress" refers to the results of tasks and activities performed by a user toward a goal and the degree to which they have achieved them.

[0015] "Database" refers to a system for systematically storing and managing user goals, tasks, progress information, etc.

[0016] "Analysis" refers to the process of conducting detailed analysis of data based on information entered by the user and reflecting the results in the user's progress toward achieving their goals.

[0017] "Feedback" refers to information that provides evaluations and areas for improvement based on the user's activities and progress toward their goals. [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 showing a processing flow of the data processing system according to the first embodiment. [Figure 12] FIG. 10 is a sequence diagram showing the flow of processing in the data processing system in Application Example 1. [Figure 13] FIG. 10 is a sequence diagram showing the flow of processing in the data processing system according to the second embodiment when an emotion engine is combined. [Figure 14] FIG. 10 is a sequence diagram showing the flow of processing in the data processing system in Application Example 2 when an emotion engine is combined. DETAILED DESCRIPTION OF THE INVENTION

[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 of the present invention allows users to set life goals, presents tasks and specific steps necessary to achieve those goals, and manages progress. Specific embodiments for implementing this system are described below.

[0040] First, a user accesses the system and registers their profile, which includes personal information such as name, email address, and password. This information is sent via the terminal to the server, which then stores the received information in a database and creates a user account.

[0041] Next, the user goes to the "Set a goal" screen and inputs a specific goal (e.g., "Get abs in 3 months") and the desired timeframe for achieving it (e.g., "December 31, 2023"). The device sends this information to the server, which then stores the received goal and desired timeframe in the user's profile.

[0042] The server then processes the user's goals and desired timeframe using a generation AI, which then calculates backwards to generate the necessary tasks and steps. For example, it provides a specific training menu such as "do 20 sit-ups five times a week" or a diet plan such as "eat a high-protein diet."

[0043] The generated tasks and steps are displayed on the user's screen by the server, and the user follows them to carry out their daily activities. Task progress is sent from the device to the server when the user inputs the details of their activities for the day. For example, they might input, "Today I did 20 sit-ups x 3 sets."

[0044] The server analyzes the received progress information, updates the user on their progress toward their goal, and provides reminders and specific advice as needed, such as "We recommend you get plenty of rest today to promote muscle recovery."

[0045] Progress is analyzed periodically, and the server stores the user's goal achievement status in a database. It also checks whether the goal has been achieved, and if so, provides feedback to the user. For example, it might say, "Congratulations! You've achieved your goal of getting six abs!"

[0046] This system allows users to set more specific goals and obtain an action plan to achieve them. Furthermore, progress management and feedback make it easier to maintain motivation to achieve goals. This system is a powerful support tool for users to achieve their goals efficiently and effectively.

[0047] The processing flow will be explained below.

[0048] Step 1:

[0049] A user accesses the system and enters information (such as name, email address, and password) to create a new account.

[0050] Step 2:

[0051] The terminal transmits the input information to the server.

[0052] Step 3:

[0053] The server stores the received user information in a database and creates an account for the user.

[0054] Step 4:

[0055] A user logs in to their profile page and opens the "Set Goals" screen.

[0056] Step 5:

[0057] The device provides a form for entering goals and desired timeframes for achieving them.

[0058] Step 6:

[0059] The user inputs a specific goal and the desired time frame for achieving it, and presses the send button.

[0060] Step 7:

[0061] The terminal transmits the entered goal and desired time for achievement to the server.

[0062] Step 8:

[0063] The server receives the user's goal and desired time frame for achieving it, and sends a request to generate tasks and steps to achieve the goal based on the generation AI.

[0064] Step 9:

[0065] The generative AI works backwards to generate the tasks and steps required to achieve the goal.

[0066] Step 10:

[0067] The server stores the task information received from the generated AI in a database and displays it on the user's screen.

[0068] Step 11:

[0069] The user performs daily tasks and enters the details of the day's activities on the "Enter progress" screen.

[0070] Step 12:

[0071] The device sends the user's progress information to the server.

[0072] Step 13:

[0073] The server analyzes the received progress information and updates the user's progress.

[0074] Step 14:

[0075] The server generates reminders and advice based on your progress.

[0076] Step 15:

[0077] The server generates reminders and advice and sends them to the user's device.

[0078] Step 16:

[0079] The device displays reminders and advice to the user.

[0080] Step 17:

[0081] Users can check reminders and advice to help plan their daily activities.

[0082] Step 18:

[0083] The server periodically checks the progress of the goal and generates feedback.

[0084] Step 19:

[0085] The server sends the feedback to the user.

[0086] Step 20:

[0087] Users receive feedback to inform next steps and areas for improvement.

[0088] Example 1

[0089] 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."

[0090] Conventional goal setting and achievement management systems lacked the functionality to automatically generate specific tasks and steps to achieve the goals set by the user. Furthermore, the generated tasks and steps were not updated appropriately according to the user's progress, making it difficult to manage progress toward goal achievement. Furthermore, the lack of appropriate reminders and advice for users made it difficult to maintain motivation to achieve their goals.

[0091] 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.

[0092] In this invention, the server includes: means for a user to set a goal and input a desired timeframe for achieving the goal; means for receiving the goal and desired timeframe input by the user and generating tasks and steps for achieving the goal by working backwards based on the generation AI; means for the user to input daily task progress; means for analyzing the progress information input by the user and updating the goal achievement status; means for providing reminders and advice as needed; and means for generating prompt sentences as input to the generation AI model and calling the generation AI model. This enables the user to receive a specific and individually customized goal achievement plan, making it easier to maintain motivation for goal achievement while receiving appropriate feedback and advice according to the progress status.

[0093] "User" refers to an individual or organization that uses this system to set goals and manage their progress.

[0094] A "goal" is a specific result or outcome that a user wants to achieve. An example would be something specific like "getting six-pack in three months."

[0095] The "desired time of achievement" is a deadline indicating when the user wants to achieve the goal they have set.

[0096] "Generative AI" refers to an artificial intelligence model that automatically generates tasks and steps to achieve a goal based on the user's goal and desired time frame for achieving it.

[0097] "Tasks or steps" are the specific actions or plans you must take to achieve your goal. Examples include a specific exercise routine or diet plan.

[0098] A "prompt" is an instruction that is input to a generative AI model to generate a goal achievement plan.

[0099] "Terminal" refers to the device a User uses to access this System and enter or retrieve information. Examples include computers and smartphones.

[0100] "Server" refers to the central processing unit that analyzes information received from users, stores it in a database, and then invokes generative AI models to generate tasks and steps.

[0101] The "database" is an information storage system for storing and managing user profiles, goals, desired timeframes for achievement, progress information, etc.

[0102] The system of this invention allows users to set life goals, presents the tasks and specific steps necessary to achieve those goals, and manages progress. Specifically, it is implemented in the following steps.

[0103] First, a user accesses the system and registers their profile. During this registration process, they enter personal information such as their name, email address, and password. The device then sends the information to the server, which then stores it in a database and creates a user account.

[0104] Next, the user goes to the "Goal Setting" screen and enters a specific goal and the timeframe they want to achieve it. For example, they might set a goal of "getting six-pack in three months" and a timeframe of "December 31, 2023." The device sends this information to the server, which then stores it in the user's profile.

[0105] The server calls the generative AI model based on the received goal and desired timeframe. This generative AI model uses a commercially available artificial intelligence model (e.g., GPT-3). Specifically, the following prompt is input to the generative AI model:

[0106] "Please provide the following specific steps or tasks to help users achieve their goal of ripped abs in 3 months. Please include details such as specific exercises, repetitions, sets, rest days, and diet plan."

[0107] The generative AI model generates specific training menus and dietary management plans based on the prompts. For example, it generates a training menu such as "Do 20 sit-ups per set five times a week" or a dietary management plan such as "Eat a high-protein diet." The server stores the generated tasks and steps in a database.

[0108] The server sends the saved tasks and steps to the user's device, which then displays them to the user. The user then performs their daily activities according to the displayed tasks and steps. The user then inputs their progress from the device to the server. For example, the user might input, "Today I did 20 sit-ups x 3 sets."

[0109] The server analyzes the received progress information using an SQL database and updates the user's progress. It also provides reminders and specific advice based on the progress of the goal. For example, it sends advice such as, "We recommend you get plenty of rest today to promote muscle recovery."

[0110] In this way, users can use the system to receive specific, individually customized goal achievement plans, and can stay motivated to achieve their goals while receiving appropriate feedback and advice based on their progress.

[0111] The flow of the identification process in the first embodiment will be described with reference to FIG.

[0112] Step 1:

[0113] A user accesses the system and registers their profile. The user enters personal information such as name, email address, and password. The terminal sends the entered information (name, email address, password, etc.) to the server. The server analyzes the received information and saves the user account in a database. The input data is personal information, and the output data is the user record saved in the database.

[0114] Step 2:

[0115] The user proceeds to the "Goal Setting" screen and inputs a specific goal and the desired time frame for achieving it. For example, the user inputs a goal of "getting six-pack in three months" and a desired time frame for achieving it of "December 31, 2023." The device sends this information (goal, desired time frame) to the server. The server then saves the received goal and desired time frame in the user profile. The input data is the goal and desired time frame, and the output data is the goal information saved in the database.

[0116] Step 3:

[0117] The server calls a generative AI model based on the received goal and desired timeframe. This generative AI model uses a commercially available artificial intelligence model (e.g., GPT-3). The server sends a prompt to the generative AI model: "Please provide the specific steps and tasks below to help the user achieve their goal of getting six-pack in three months. Please provide details such as the specific exercise menu, number of repetitions, number of sets, rest days, and diet plan." The generative AI model generates a specific training menu and diet plan based on the prompt. The input data is the prompt, and the output data is the specific tasks and steps generated.

[0118] Step 4:

[0119] The server stores the generated tasks and steps in a database and sends them to the terminal for display to the user. The terminal displays the received tasks and steps to the user in an intuitive interface. The input data are the generated tasks and steps, and the output data are the tasks and steps displayed to the user.

[0120] Step 5:

[0121] The user inputs the progress of their daily activities and tasks. For example, they might input, "Today I did 3 sets of 20 sit-ups." The device sends this information to the server. The server stores the received progress information in a database. The input data is the progress information, and the output data is the progress record stored in the database.

[0122] Step 6:

[0123] The server analyzes the received progress information and updates the user's goal achievement status. For example, it calculates the goal achievement rate based on the progress data and provides the user with necessary reminders and specific advice. For example, it generates advice such as "We recommend you take sufficient rest today to promote muscle recovery" and sends it to the device. The input data is the progress information, and the output data is the updated goal achievement status and the generated advice.

[0124] Step 7:

[0125] The server periodically analyzes the progress information and updates the database with the user's progress toward their goal. It also checks whether the goal has been achieved and, if so, sends a congratulatory message to the user. For example, it provides feedback such as "Congratulations! You've achieved your goal of getting six-pack!" The input data is the analyzed progress, and the output data is the updated progress and feedback message.

[0126] (Application example 1)

[0127] 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."

[0128] Conventional goal management systems lacked a mechanism for automatically generating specific tasks and steps for achieving the goals set by users. They also had limited means for efficiently managing users' progress and providing timely reminders and advice. This resulted in insufficient support for users to effectively achieve their goals. Furthermore, physical fitness centers and other physical fitness centers lacked a system for providing feedback based on users' progress, resulting in weak collaboration between the stores and users.

[0129] 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.

[0130] In this invention, the server includes means for a user to set a goal and input a desired timeframe for achieving the goal, means for receiving the goal and desired timeframe input by the user and generating tasks and steps for achieving the goal by calculating backwards based on the generation AI, means for the user to input the progress of daily tasks, means for analyzing the progress information input by the user and updating the goal achievement status, means for providing reminders and advice as needed, and means for providing progress management and feedback related to physical stores to the user. This allows the user to obtain a specific action plan for efficiently and effectively achieving the goal and also allows the user to receive further feedback through collaboration with physical stores.

[0131] "User" refers to an individual who uses this system to set goals and strive to achieve them.

[0132] "Goal" refers to the specific purpose or desired state that a user sets to achieve.

[0133] The "desired achievement date" refers to the specific date or period during which the user would like to achieve the goal they have set.

[0134] "Server" refers to a computer system that processes information received from users, stores it in a database, and generates and manages tasks and steps using generative AI, etc.

[0135] "Generative AI" refers to an artificial intelligence model that reverse-engines the tasks and steps required to achieve a goal set by the user.

[0136] A "task" is a specific action that a user must take to achieve a goal.

[0137] A "step" refers to a series of tasks or stages in a process that lead to achieving a goal.

[0138] "Progress information" refers to data recorded by users on the status of their daily task execution.

[0139] "Analysis" refers to the evaluation and analysis of the goal achievement status and user progress based on the progress information received by the server from the user.

[0140] A "reminder" is a notification or message that prompts a user to take necessary action to achieve a goal.

[0141] "Advice" refers to information that provides users with specific suggestions or instructions to help them achieve their goals.

[0142] "Physical store" refers to a physical establishment where users can actually visit and use the services.

[0143] "Progress management" refers to continually monitoring a user's progress toward achieving their goals and providing remedial measures or follow-up guidance as needed.

[0144] "Feedback" refers to evaluations and advice provided to users based on the results and progress they make toward their goals.

[0145] System Overview

[0146] A system for implementing this invention includes means for a user to set a goal and input a desired time for achieving the goal, means for generating tasks and steps for achieving the goal by calculating backwards based on a generation AI, means for displaying the generated tasks and steps to the user, means for inputting daily task progress, means for analyzing progress information and updating the goal achievement status, means for providing reminders and advice, and means for providing progress management and feedback related to a physical store.

[0147] Program Overview

[0148] 1. Profile registration and goal setting

[0149] The server receives input information from the user (name, email address, password, goal, desired time frame for achievement) and stores it in AWS RDS (relational database).

[0150] 2. Task generation using generative AI

[0151] The server inputs the user's set goals and desired timeframe into a generative AI model (OpenAI GPT-4), which then calculates backward to generate the necessary tasks and steps. The generated tasks are then displayed to the user.

[0152] 3. Progress management and analysis

[0153] Users enter their daily task progress, which is then sent from their device to a server and stored in a database. The server analyzes the progress data, updates the progress status, and provides reminders and advice as needed.

[0154] 4. Progress management and feedback at physical stores

[0155] Users' progress information is also linked to physical stores, where it can be viewed by store staff, who can provide feedback and specific guidance to users.

[0156] Hardware and Software Specifications

[0157] Server: AWS EC2

[0158] Database: AWS RDS (PostgreSQL)

[0159] Generative AI model: OpenAI GPT-4

[0160] Frontend: React Native (smartphone app)

[0161] Backend: Node.js (Express)

[0162] Specific examples of processing

[0163] 1. Profile registration and goal setting

[0164] A user launches the application and registers a profile by entering their name, email address, and password. They also enter their goal (e.g., "Get six-pack in three months") and the date they want to achieve it (e.g., "December 31, 2023").

[0165] 2. Task generation using generative AI

[0166] The server passes the received goal and desired timeframe to the generative AI model, using the following prompt:

[0167] Generate training and meal plans based on your goals:

[0168] Goal: Get six-pack in 3 months

[0169] Desired completion date: December 31, 2023

[0170] The generative AI provides five abdominal exercises and a high-protein meal plan per week and displays them to the user.

[0171] 3. Progress management and analysis

[0172] Users input their daily progress (e.g., "Today I did 3 sets of 20 sit-ups"), and the server stores this information in a database, analyzes the progress, and updates it.

[0173] 4. Progress management and feedback at physical stores

[0174] Staff at the physical store will monitor the user's progress and provide appropriate guidance and feedback, for example, adjusting the next training menu based on the user's physical condition.

[0175] This gives users a concrete action plan to achieve their goals efficiently and effectively, and allows for further feedback through collaboration with physical stores.

[0176] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[0177] Step 1:

[0178] A user launches the application and enters their profile information (name, email address, password). This data is sent from the device to the server, which then stores the received data in AWS RDS and creates a user account.

[0179] Input: Name, Email Address, Password

[0180] Output: User account created

[0181] Step 2:

[0182] The user enters their goal and the desired timeframe for achieving it. This data is also sent from the device to the server, and the server stores it in AWS RDS.

[0183] Input: Goal, desired time to achieve

[0184] Output: Save target data

[0185] Step 3:

[0186] The server inputs the user's set goal and desired timeframe into the generative AI model (OpenAI GPT-4). The specific prompt is as follows:

[0187] Generate training and meal plans based on your goals:

[0188] Goal: Get six-pack in 3 months

[0189] Desired completion date: December 31, 2023

[0190] The generation AI generates the necessary tasks and steps, which the server displays to the user.

[0191] Input: Goal, desired time to achieve

[0192] Output: The tasks and steps generated

[0193] Step 4:

[0194] Users enter their daily task progress into the application. This data is sent from the device to the server and stored in AWS RDS. The server analyzes the progress information and updates the goal achievement status.

[0195] Input: Daily task progress information

[0196] Output: Save progress data and analysis results

[0197] Step 5:

[0198] The server then provides reminders and advice to the user based on the progress analysis results, such as "We recommend you get plenty of rest today to promote muscle recovery."

[0199] Input: Progress analysis results

[0200] Output: Reminders and advice

[0201] Step 6:

[0202] Staff at the physical store can check the user's progress through the app and provide feedback and specific guidance based on the user's progress, such as adjusting the next training menu based on their physical condition.

[0203] Input: User progress information

[0204] Output: Feedback and specific instruction

[0205] In this way, a system is realized in which users, terminals, servers, and physical stores work together at each step to provide specific action plans and ongoing support for achieving goals.

[0206] 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.

[0207] The system of this invention allows users to set life goals, presents the tasks and specific steps necessary to achieve those goals, and manages progress. In addition, by combining it with an emotion engine that recognizes the user's emotions, it provides more personalized support. Specific embodiments for implementing this system are described below.

[0208] First, a user accesses the system and enters personal information such as name, email address, and password to create a new account. The device sends this information to the server, which then stores it in a database and creates the user's account.

[0209] Next, the user logs in to the profile page, proceeds to the "Set a goal" screen, and enters the goal (e.g., "Get abs in 3 months") and the desired timeframe for achieving it (e.g., "December 31, 2023"). The device sends this information to the server, and the server saves the received goal and desired timeframe in the user's profile.

[0210] The server then processes the user's goal and desired timeframe using the AI ​​to calculate backwards the necessary tasks and steps. Tasks include, for example, "do 20 sit-ups five times a week" or "eat a high-protein diet." This information is stored in a database by the server and displayed on the user's screen.

[0211] Furthermore, after the user completes their daily tasks, they enter the details of their activities for that day (e.g., "Today I did 20 sit-ups x 3 sets") on the "Enter progress" screen. The device sends this to the server, which analyzes the received progress information and updates the user's progress.

[0212] In particular, when using an emotion engine, a means of recognizing the user's emotions is added. For example, when a user performs a task, the emotion engine recognizes the user's emotions from their voice and facial expressions. The recognized emotion information is sent to a server via the terminal and stored in a database.

[0213] The server dynamically changes the content of reminders and advice based on this emotional information. For example, if the server recognizes that the user is tired, it can provide advice such as, "We recommend that you do some light exercise and get plenty of rest today." This allows users to receive appropriate support according to their emotional state.

[0214] The progress and emotional information are periodically analyzed, and the server checks the user's progress toward their goal and generates feedback, such as "Congratulations! You've achieved your goal of getting six-pack!"

[0215] This system not only provides users with specific action plans and progress management to achieve their goals, but also provides personalized support based on their emotional state, providing users with a powerful tool to achieve their goals more efficiently and effectively.

[0216] The processing flow will be explained below.

[0217] Step 1:

[0218] A user accesses the system and enters information (such as name, email address, and password) to create a new account.

[0219] Step 2:

[0220] The terminal transmits the input information to the server.

[0221] Step 3:

[0222] The server stores the received user information in a database and creates an account for the user.

[0223] Step 4:

[0224] A user logs in to their profile page and opens the "Set Goals" screen.

[0225] Step 5:

[0226] The device provides a form for entering goals and desired timeframes for achieving them.

[0227] Step 6:

[0228] The user inputs a specific goal and the desired time frame for achieving it, and presses the send button.

[0229] Step 7:

[0230] The terminal transmits the entered goal and desired time for achievement to the server.

[0231] Step 8:

[0232] The server stores the received goal and desired time frame for achievement in the user's profile.

[0233] Step 9:

[0234] The server sends a request to the generation AI based on the user's goal and desired time frame for achievement, and generates the necessary tasks and steps by working backwards.

[0235] Step 10:

[0236] The generative AI works backwards to generate the tasks and steps required to achieve the goal.

[0237] Step 11:

[0238] The server stores the task information received from the generated AI in a database and displays it on the user's screen.

[0239] Step 12:

[0240] The user performs daily tasks and enters the details of the day's activities on the "Enter progress" screen.

[0241] Step 13:

[0242] The device sends the user's progress information to the server.

[0243] Step 14:

[0244] The server analyzes the received progress information and updates the user's progress.

[0245] Step 15:

[0246] As the user performs a task, the emotion engine analyzes the user's voice and facial expressions to recognize their emotions.

[0247] Step 16:

[0248] The device transmits the recognized emotion information to the server.

[0249] Step 17:

[0250] The server stores the emotional information in a database and adjusts the content of advice and reminders.

[0251] Step 18:

[0252] The server generates reminders and advice as needed and sends them to the user's device.

[0253] Step 19:

[0254] The device displays reminders and advice to the user.

[0255] Step 20:

[0256] Users can check reminders and advice to help plan their daily activities.

[0257] Step 21:

[0258] The server periodically checks the progress of the goal and generates feedback.

[0259] Step 22:

[0260] The server sends feedback to the user.

[0261] Step 23:

[0262] Users receive feedback to inform next steps and areas for improvement.

[0263] Example 2

[0264] 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."

[0265] Conventional goal achievement support systems provide information on the goals set by the user and progress management, but lack individual support based on the user's emotional state. This makes it difficult to maintain user motivation and provide appropriate feedback, resulting in issues such as reduced goal achievement efficiency. Furthermore, because dynamic support linking progress information and emotional information is not provided, users are unable to receive sufficient emotional support while completing daily tasks.

[0266] 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.

[0267] In this invention, the server includes a means for a user to set a goal and input a desired timeframe for achieving that goal, a means including an emotion engine that recognizes the user's emotions and provides appropriate reminders and advice, and a means for receiving the goal and desired timeframe input by the user and generating tasks and steps for achieving the goal by working backwards based on the generation AI. This allows the user to receive not only a specific action plan and progress management for achieving the goal, but also personalized support according to their emotional state.

[0268] A "goal" is a specific outcome or state that a user wants to achieve.

[0269] "Desired achievement date" indicates the specific deadline by which the user would like to achieve the goal they have set.

[0270] "Generative AI" refers to an artificial intelligence system that automatically generates plans and steps for achieving goals based on the goals and desired timeframe entered by the user.

[0271] A "task" refers to a specific action or activity required to achieve a user's set goal.

[0272] A "step" refers to a specific process or task that needs to be carried out step by step to achieve a goal.

[0273] "Progress" refers to the status and degree of achievement of tasks performed toward goals set by the user.

[0274] "Progress Information" refers to data that records the actions and achievements of users when performing daily tasks.

[0275] "Analysis" refers to the process by which the server interprets and evaluates data based on progress and emotional information obtained from the user.

[0276] An "emotion engine" refers to technology that identifies a user's emotional state from their voice, facial expressions, etc., and provides appropriate feedback and advice.

[0277] "Reminders" refers to a feature that notifies users of their progress toward set tasks and goals.

[0278] "Advice" refers to suggestions or instructions provided to the user based on their progress or emotional state.

[0279] "Database" refers to an information management system for systematically storing and managing a user's goals, desired timeframe for achievement, progress information, emotional information, etc.

[0280] "Feedback" refers to the server's ability to evaluate the user's progress and emotional state and provide support and notifications to help them achieve their goals.

[0281] This system allows users to set life goals, presents tasks and specific steps necessary to achieve those goals, and manages progress. Furthermore, by combining it with an emotion engine that recognizes the user's emotions, it is possible to provide more personalized support. Specific embodiments for implementing this system will be described.

[0282] First, a user accesses the system and enters personal information such as name, email address, and password to create a new account. The device sends this information to the server, which then stores it in a database and creates the user's account.

[0283] Next, the user logs in to the profile page, proceeds to the "Set a goal" screen, and enters the goal (e.g., "Get abs in 3 months") and the desired timeframe for achieving it (e.g., "December 31, 2023"). The device sends this information to the server, and the server saves the received goal and desired timeframe in the user's profile.

[0284] The server processes the user's goals and desired timeframe using AI generation, then calculates backward to generate the necessary tasks and steps. Tasks include, for example, "do 20 sit-ups five times a week" or "eat a high-protein diet." This information is stored in a database by the server and displayed on the user's screen.

[0285] Furthermore, after the user completes their daily tasks, they enter the details of their activities for that day (e.g., "Today I did 20 sit-ups x 3 sets") on the "Enter progress" screen. The device sends this to the server, which analyzes the received progress information and updates the user's progress.

[0286] In particular, when using an emotion engine, a means of recognizing the user's emotions is added. For example, when a user performs a task, the emotion engine recognizes the user's emotions from their voice and facial expressions. The recognized emotion information is sent to a server via the terminal and stored in a database.

[0287] The server dynamically changes the content of reminders and advice based on this emotional information. For example, if the server recognizes that the user is tired, it can provide advice such as, "We recommend that you do some light exercise and get plenty of rest today." This allows users to receive appropriate support according to their emotional state.

[0288] The progress and emotional information are periodically analyzed, and the server checks the user's progress toward their goal and generates feedback, such as "Congratulations! You've achieved your goal of getting six-pack!"

[0289] Specific examples

[0290] Prompt Sentence Example 1:

[0291] If your goal is to get six abs in three months, here's an example of a prompt you can input to your generative AI model:

[0292] Goal: Get six-pack in 3 months

[0293] Desired achievement date: December 31, 2023

[0294] Progress Tracker: 5 sit-ups per week, 20 repetitions per set

[0295] Support needed: High-protein diet, light exercise suggestions

[0296] Prompt Sentence Example 2:

[0297] If you set a different goal, "Learn English conversation in six months," you might use the following prompt:

[0298] Goal: Master English conversation in six months

[0299] Desired date of achievement: June 30, 2024

[0300] Progress management: 1 hour of English conversation practice every day

[0301] Support needed: Weekly mock conversation sessions and progress reviews

[0302] By inputting such specific prompts into the generative AI model, effective tasks and steps can be generated to help users achieve their goals.

[0303] The flow of the identification process in the second embodiment will be described with reference to FIG.

[0304] Step 1:

[0305] First, a user accesses the system and enters personal information such as name, email address, and password to create a new account. The device sends this information to the server, which stores the received information in a database and creates an account for the user. The input in this step is the user's personal information, and the output is the created user account.

[0306] Step 2:

[0307] Next, the user logs in to the profile page and proceeds to the "Set a goal" screen. The user enters a specific goal (e.g., "Get abs in 3 months") and the desired timeframe for achieving it (e.g., "December 31, 2023"). The device sends this information to the server. The server stores the received goal and desired timeframe in a database. The input in this step is the goal setting information, and the output is the saved goal information.

[0308] Step 3:

[0309] When the server receives the user's goal and desired timeframe for achievement, it uses a generative AI model to calculate backwards and generate the necessary tasks and steps. Specifically, the AI ​​performs calculations based on the input goal information and generates specific tasks such as "do sit-ups 5 times a week, 20 times per set" or "eat a high-protein diet." These tasks are stored in a database by the server and displayed on the user's screen via their device. The input in this step is goal information, and the output is the generated task information.

[0310] Step 4:

[0311] After the user performs their daily tasks, they enter the details of their activities for that day (e.g., "Today I did 20 sit-ups x 3 sets") on the "Enter progress" screen. The device sends this progress information to the server. The server stores the received progress information in a database and updates the progress status. The input in this step is the progress information of the performed tasks, and the output is the updated progress status.

[0312] Step 5:

[0313] When a user performs a task, the emotion engine recognizes emotions from the user's voice and facial expressions. The recognized emotion information is sent to the server via the device and stored in a database. The input in this step is the user's emotion data, and the output is the stored emotion information.

[0314] Step 6:

[0315] The server dynamically changes the content of reminders and advice based on this emotional information. For example, if the user's emotional data indicates fatigue, the server automatically generates advice such as "We recommend that you do some light exercise and get plenty of rest today" and provides it to the user via their device. The input in this step is emotional information, and the output is customized advice.

[0316] Step 7:

[0317] The server periodically analyzes the progress status and emotional information, checks the progress of the goal, and generates feedback. Specifically, it analyzes the progress data and emotional data together, and when the set goal is achieved, it generates feedback such as "Congratulations! You've achieved your goal of getting six-pack!" and sends it to the user via the device. The input in this step is the progress information and emotional information, and the output is the generated feedback.

[0318] (Application example 2)

[0319] 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."

[0320] While conventional goal setting systems allow users to set goals and manage their progress, they are unable to provide appropriate support or advice tailored to individual emotional states, making it difficult for users to effectively achieve their goals. Furthermore, in factories and other workplaces, there is a lack of individual support to optimize the performance of robots and workers, resulting in the inability to maximize work efficiency.

[0321] The specific processing by the specific processing unit 290 of the data processing device 12 in Application Example 2 is realized by the following means. In this invention, the server includes: a means for a user to set a goal and input a desired timeframe for achieving the goal; a means for receiving the user's input goal and desired timeframe and generating tasks and steps for achieving the goal by back-calculating them based on a generation AI; a means for displaying the generated tasks and steps to the user; a means for the user to input daily task progress; a means for analyzing the user's input progress information and updating the goal achievement status; a means for providing reminders and advice as needed; and a means for detecting the user's emotional state using an emotion engine and dynamically adjusting the content of tasks and advice based on the user's emotional state. This allows users to create specific action plans toward their goals and receive personalized support tailored to their emotional state. Furthermore, in factories and other workplaces, the performance of robots and workers can be optimized, maximizing work efficiency.

[0322] "User" refers to an individual or worker who uses this system to set goals and strive to achieve them.

[0323] A "goal" is a specific result or progress that a user wishes to achieve.

[0324] "Desired achievement date" refers to a specific date by which the user wishes to achieve the goal they have set.

[0325] "Generative AI" refers to an artificial intelligence algorithm that automatically generates the necessary tasks and steps by working backwards from the goals set by the user.

[0326] A "task" is a specific task or activity that a user must perform to achieve a goal.

[0327] "Steps" refer to the specific stages or processes that a user must go through to achieve a goal.

[0328] An "emotion engine" is a system that recognizes the user's emotional state from their voice, facial expressions, etc., and responds appropriately based on that.

[0329] "Reminders" refer to notifications and messages that help users remember the goals and tasks they have set.

[0330] "Advice" refers to messages that offer advice or recommended actions users need to take to achieve their goals.

[0331] "Dynamic adjustment" refers to changing and updating the content of tasks and advice in real time in response to changes in the user's emotional state, etc.

[0332] This invention is a system that allows users to set goals, presents specific tasks and steps for achieving those goals, and manages progress. Furthermore, it uses an emotion engine to recognize the user's emotional state and provide personalized support. The specific configuration and processing of the system are described below.

[0333] System configuration

[0334] This system primarily utilizes the following hardware and software:

[0335] Hardware: The devices used by users (smartphones, smart glasses, head-mounted displays, factory robots, etc.)

[0336] software:

[0337] Generative AI models (algorithms that generate tasks and steps to achieve a goal)

[0338] Emotion recognition software (libraries for detecting a user's emotional state)

[0339] Cloud services (e.g., AWS, GCP for data processing and storage)

[0340] System Operation

[0341] Creating a user account

[0342] First, a user accesses the system and creates a new account. The user enters personal information such as name, email address, and password, and the device sends this information to the server. The server stores the received information in a database and creates the user's account.

[0343] Setting goals and desired timeframes for achievement

[0344] When a user logs in to their profile page and proceeds to the "Set a goal" screen, they enter their goal (e.g., "Increase the robot's operating time by 20% in one month") and the desired timeframe for achieving it (e.g., "December 31, 2023"). The device sends this information to the server, and the server saves the received goal and desired timeframe in the user's profile.

[0345] Creating Tasks and Steps

[0346] The server then processes the user's goals and desired timeframes based on the generative AI model and generates the necessary tasks and steps. Tasks might include, for example, "Perform quality checks five times a week" or "Perform regular machine maintenance." This information is stored in a database by the server and displayed on the user's screen.

[0347] Example prompt sentence:

[0348] The user has set a goal: "Increase the robot's uptime by 20% in one month." Please suggest specific tasks to achieve this goal.

[0349] Progress and emotional input

[0350] After a user completes a daily task, they enter the details of that day's activities (e.g., "I performed three quality checks today") on the "Enter progress" screen. The device sends this information to the server, which then analyzes the received progress information and updates the user's progress.

[0351] When using the emotion engine, the system recognizes the user's emotional state (e.g., "tired") from their voice and facial expressions, and sends that information to the server via the device. The recognized emotional information is then stored in a database.

[0352] Providing reminders and advice

[0353] The server dynamically changes the content of reminders and advice based on progress and emotional information. For example, if the server recognizes that the user is tired, it can provide advice such as "Do light work today and get plenty of rest." This allows users to receive appropriate support according to their emotional state.

[0354] Generate feedback

[0355] The progress and emotional information are periodically analyzed, and the server checks the user's progress toward their goal and generates feedback, such as "Congratulations! You've achieved your goal of increasing robot uptime by 20%!"

[0356] The system not only provides users with specific action plans and progress management to achieve their goals, but also provides personalized support based on their emotional state, providing them with powerful tools to achieve their goals more efficiently and effectively. It also optimizes the performance of robots and workers in factories, maximizing work efficiency.

[0357] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[0358] Step 1:

[0359] The device receives input from the user. The user enters their name, email address, and password to create an account. The device sends the input to the server, which stores it in a database.

[0360] Input: Name, email address, password

[0361] Data processing: Organize input information according to the format

[0362] Output: User account information registered in the database

[0363] Step 2:

[0364] The device receives goal setting information from the user. The user enters the goal (e.g., "Increase the robot's operating time by 20% in one month") and the desired time frame for achieving it (e.g., "December 31, 2023"). The device sends this information to the server, which stores it in a database.

[0365] Input: Goal, desired time to achieve

[0366] Data processing: Organize input information according to the format

[0367] Output: Target information registered in database

[0368] Step 3:

[0369] The server uses the generation AI to generate the tasks and steps required to achieve the goal. The server inputs the goal and desired timeframe into the generation AI, generates prompts, sends them to the AI ​​model, and then calculates and generates the necessary tasks. The generated tasks and steps are stored in a database and sent to the device.

[0370] Input: Goal, desired time to achieve

[0371] Data Transformation: Generating Tasks and Steps Using Generative AI Models

[0372] Output: Generated tasks, steps

[0373] Example prompt sentence:

[0374] The user has set a goal: "Increase the robot's uptime by 20% in one month." Please suggest specific tasks to achieve this goal.

[0375] Step 4:

[0376] The user performs daily tasks and inputs progress information into the device. For example, "I performed three quality checks today." The device receives this information and sends it to the server. The server stores this information in a database and analyzes the progress information.

[0377] Input: Daily progress information

[0378] Data processing: Analysis of progress information

[0379] Output: Updated progress

[0380] Step 5:

[0381] The emotion engine recognizes the user's emotional state from their voice and facial expressions. The recognized emotional information (e.g., "tired") is sent to the server via the device and stored in a database.

[0382] Input: User's emotional state

[0383] Data processing: Analyzing emotional states using emotion recognition software

[0384] Output: Recognized emotion information

[0385] Step 6:

[0386] The server dynamically changes the content of reminders and advice based on progress and emotion information. For example, if the server detects that the user is tired, it generates advice such as "Do light work today and get plenty of rest" and sends it to the device.

[0387] Input: progress information, emotion information

[0388] Data processing: Advice generation based on progress and emotion information

[0389] Output: Dynamically changed reminders and advice

[0390] Step 7:

[0391] The server analyzes the progress and emotional information, checks the user's progress toward achieving the goal, and generates feedback. If the user achieves the goal, it generates a congratulatory message and sends it to the device (e.g., "Congratulations! You've achieved your goal of increasing robot operating time by 20%!").

[0392] Input: progress information, emotion information

[0393] Data processing: Analysis of goal achievement status and feedback generation

[0394] Output: Feedback message

[0395] Through these steps, the system provides users with specific action plans and progress tracking to help them achieve their goals, as well as personalized support based on their emotional state.

[0396] 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.

[0397] 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.

[0398] 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.

[0399] [Second embodiment]

[0400] FIG. 3 shows an example of the configuration of a data processing system 210 according to the second embodiment.

[0401] 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.

[0402] 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).

[0403] 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.

[0404] 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.

[0405] 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).

[0406] 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.

[0407] 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.

[0408] 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.

[0409] 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.

[0410] 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.

[0411] 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."

[0412] The system of the present invention allows users to set life goals, presents tasks and specific steps necessary to achieve those goals, and manages progress. Specific embodiments for implementing this system are described below.

[0413] First, a user accesses the system and registers their profile, which includes personal information such as name, email address, and password. This information is sent via the terminal to the server, which then stores the received information in a database and creates a user account.

[0414] Next, the user goes to the "Set a goal" screen and inputs a specific goal (e.g., "Get abs in 3 months") and the desired timeframe for achieving it (e.g., "December 31, 2023"). The device sends this information to the server, which then stores the received goal and desired timeframe in the user's profile.

[0415] The server then processes the user's goals and desired timeframe using a generation AI, which then calculates backwards to generate the necessary tasks and steps. For example, it provides a specific training menu such as "do 20 sit-ups five times a week" or a diet plan such as "eat a high-protein diet."

[0416] The generated tasks and steps are displayed on the user's screen by the server, and the user follows them to carry out their daily activities. Task progress is sent from the device to the server when the user inputs the details of their activities for the day. For example, they might input, "Today I did 20 sit-ups x 3 sets."

[0417] The server analyzes the received progress information, updates the user on their progress toward their goal, and provides reminders and specific advice as needed, such as "We recommend you get plenty of rest today to promote muscle recovery."

[0418] Progress is analyzed periodically, and the server stores the user's goal achievement status in a database. It also checks whether the goal has been achieved, and if so, provides feedback to the user. For example, it might say, "Congratulations! You've achieved your goal of getting six abs!"

[0419] This system allows users to set more specific goals and obtain an action plan to achieve them. Furthermore, progress management and feedback make it easier to maintain motivation to achieve goals. This system is a powerful support tool for users to achieve their goals efficiently and effectively.

[0420] The processing flow will be explained below.

[0421] Step 1:

[0422] A user accesses the system and enters information (such as name, email address, and password) to create a new account.

[0423] Step 2:

[0424] The terminal transmits the input information to the server.

[0425] Step 3:

[0426] The server stores the received user information in a database and creates an account for the user.

[0427] Step 4:

[0428] A user logs in to their profile page and opens the "Set Goals" screen.

[0429] Step 5:

[0430] The device provides a form for entering goals and desired timeframes for achieving them.

[0431] Step 6:

[0432] The user inputs a specific goal and the desired time frame for achieving it, and presses the send button.

[0433] Step 7:

[0434] The terminal transmits the entered goal and desired time for achievement to the server.

[0435] Step 8:

[0436] The server receives the user's goal and desired time frame for achieving it, and sends a request to generate tasks and steps to achieve the goal based on the generation AI.

[0437] Step 9:

[0438] The generative AI works backwards to generate the tasks and steps required to achieve the goal.

[0439] Step 10:

[0440] The server stores the task information received from the generated AI in a database and displays it on the user's screen.

[0441] Step 11:

[0442] The user performs daily tasks and enters the details of the day's activities on the "Enter progress" screen.

[0443] Step 12:

[0444] The device sends the user's progress information to the server.

[0445] Step 13:

[0446] The server analyzes the received progress information and updates the user's progress.

[0447] Step 14:

[0448] The server generates reminders and advice based on your progress.

[0449] Step 15:

[0450] The server generates reminders and advice and sends them to the user's device.

[0451] Step 16:

[0452] The device displays reminders and advice to the user.

[0453] Step 17:

[0454] Users can check reminders and advice to help plan their daily activities.

[0455] Step 18:

[0456] The server periodically checks the progress of the goal and generates feedback.

[0457] Step 19:

[0458] The server sends the feedback to the user.

[0459] Step 20:

[0460] Users receive feedback to inform next steps and areas for improvement.

[0461] Example 1

[0462] 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."

[0463] Conventional goal setting and achievement management systems lacked the functionality to automatically generate specific tasks and steps to achieve the goals set by the user. Furthermore, the generated tasks and steps were not updated appropriately according to the user's progress, making it difficult to manage progress toward goal achievement. Furthermore, the lack of appropriate reminders and advice for users made it difficult to maintain motivation to achieve their goals.

[0464] 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.

[0465] In this invention, the server includes: means for a user to set a goal and input a desired timeframe for achieving the goal; means for receiving the goal and desired timeframe input by the user and generating tasks and steps for achieving the goal by working backwards based on the generation AI; means for the user to input daily task progress; means for analyzing the progress information input by the user and updating the goal achievement status; means for providing reminders and advice as needed; and means for generating prompt sentences as input to the generation AI model and calling the generation AI model. This enables the user to receive a specific and individually customized goal achievement plan, making it easier to maintain motivation for goal achievement while receiving appropriate feedback and advice according to the progress status.

[0466] "User" refers to an individual or organization that uses this system to set goals and manage their progress.

[0467] A "goal" is a specific result or outcome that a user wants to achieve. An example would be something specific like "getting six-pack in three months."

[0468] The "desired time of achievement" is a deadline indicating when the user wants to achieve the goal they have set.

[0469] "Generative AI" refers to an artificial intelligence model that automatically generates tasks and steps to achieve a goal based on the user's goal and desired time frame for achieving it.

[0470] "Tasks or steps" are the specific actions or plans you must take to achieve your goal. Examples include a specific exercise routine or diet plan.

[0471] A "prompt" is an instruction that is input to a generative AI model to generate a goal achievement plan.

[0472] "Terminal" refers to the device a User uses to access this System and enter or retrieve information. Examples include computers and smartphones.

[0473] "Server" refers to the central processing unit that analyzes information received from users, stores it in a database, and then invokes generative AI models to generate tasks and steps.

[0474] The "database" is an information storage system for storing and managing user profiles, goals, desired timeframes for achievement, progress information, etc.

[0475] The system of this invention allows users to set life goals, presents the tasks and specific steps necessary to achieve those goals, and manages progress. Specifically, it is implemented in the following steps.

[0476] First, a user accesses the system and registers their profile. During this registration process, they enter personal information such as their name, email address, and password. The device then sends the information to the server, which then stores it in a database and creates a user account.

[0477] Next, the user goes to the "Goal Setting" screen and enters a specific goal and the timeframe they want to achieve it. For example, they might set a goal of "getting six-pack in three months" and a timeframe of "December 31, 2023." The device sends this information to the server, which then stores it in the user's profile.

[0478] The server calls the generative AI model based on the received goal and desired timeframe. This generative AI model uses a commercially available artificial intelligence model (e.g., GPT-3). Specifically, the following prompt is input to the generative AI model:

[0479] "Please provide the following specific steps or tasks to help users achieve their goal of ripped abs in 3 months. Please include details such as specific exercises, repetitions, sets, rest days, and diet plan."

[0480] The generative AI model generates specific training menus and dietary management plans based on the prompts. For example, it generates a training menu such as "Do 20 sit-ups per set five times a week" or a dietary management plan such as "Eat a high-protein diet." The server stores the generated tasks and steps in a database.

[0481] The server sends the saved tasks and steps to the user's device, which then displays them to the user. The user then performs their daily activities according to the displayed tasks and steps. The user then inputs their progress from the device to the server. For example, the user might input, "Today I did 20 sit-ups x 3 sets."

[0482] The server analyzes the received progress information using an SQL database and updates the user's progress. It also provides reminders and specific advice based on the progress of the goal. For example, it sends advice such as, "We recommend you get plenty of rest today to promote muscle recovery."

[0483] In this way, users can use the system to receive specific, individually customized goal achievement plans, and can stay motivated to achieve their goals while receiving appropriate feedback and advice based on their progress.

[0484] The flow of the identification process in the first embodiment will be described with reference to FIG.

[0485] Step 1:

[0486] A user accesses the system and registers their profile. The user enters personal information such as name, email address, and password. The terminal sends the entered information (name, email address, password, etc.) to the server. The server analyzes the received information and saves the user account in a database. The input data is personal information, and the output data is the user record saved in the database.

[0487] Step 2:

[0488] The user proceeds to the "Goal Setting" screen and inputs a specific goal and the desired time frame for achieving it. For example, the user inputs a goal of "getting six-pack in three months" and a desired time frame for achieving it of "December 31, 2023." The device sends this information (goal, desired time frame) to the server. The server then saves the received goal and desired time frame in the user profile. The input data is the goal and desired time frame, and the output data is the goal information saved in the database.

[0489] Step 3:

[0490] The server calls a generative AI model based on the received goal and desired timeframe. This generative AI model uses a commercially available artificial intelligence model (e.g., GPT-3). The server sends a prompt to the generative AI model: "Please provide the specific steps and tasks below to help the user achieve their goal of getting six-pack in three months. Please provide details such as the specific exercise menu, number of repetitions, number of sets, rest days, and diet plan." The generative AI model generates a specific training menu and diet plan based on the prompt. The input data is the prompt, and the output data is the specific tasks and steps generated.

[0491] Step 4:

[0492] The server stores the generated tasks and steps in a database and sends them to the terminal for display to the user. The terminal displays the received tasks and steps to the user in an intuitive interface. The input data are the generated tasks and steps, and the output data are the tasks and steps displayed to the user.

[0493] Step 5:

[0494] The user inputs the progress of their daily activities and tasks. For example, they might input, "Today I did 3 sets of 20 sit-ups." The device sends this information to the server. The server stores the received progress information in a database. The input data is the progress information, and the output data is the progress record stored in the database.

[0495] Step 6:

[0496] The server analyzes the received progress information and updates the user's goal achievement status. For example, it calculates the goal achievement rate based on the progress data and provides the user with necessary reminders and specific advice. For example, it generates advice such as "We recommend you take sufficient rest today to promote muscle recovery" and sends it to the device. The input data is the progress information, and the output data is the updated goal achievement status and the generated advice.

[0497] Step 7:

[0498] The server periodically analyzes the progress information and updates the database with the user's progress toward their goal. It also checks whether the goal has been achieved and, if so, sends a congratulatory message to the user. For example, it provides feedback such as "Congratulations! You've achieved your goal of getting six-pack!" The input data is the analyzed progress, and the output data is the updated progress and feedback message.

[0499] (Application example 1)

[0500] 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."

[0501] Conventional goal management systems lacked a mechanism for automatically generating specific tasks and steps for achieving the goals set by users. They also had limited means for efficiently managing users' progress and providing timely reminders and advice. This resulted in insufficient support for users to effectively achieve their goals. Furthermore, physical fitness centers and other physical fitness centers lacked a system for providing feedback based on users' progress, resulting in weak collaboration between the stores and users.

[0502] 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.

[0503] In this invention, the server includes means for a user to set a goal and input a desired timeframe for achieving the goal, means for receiving the goal and desired timeframe input by the user and generating tasks and steps for achieving the goal by calculating backwards based on the generation AI, means for the user to input the progress of daily tasks, means for analyzing the progress information input by the user and updating the goal achievement status, means for providing reminders and advice as needed, and means for providing progress management and feedback related to physical stores to the user. This allows the user to obtain a specific action plan for efficiently and effectively achieving the goal and also allows the user to receive further feedback through collaboration with physical stores.

[0504] "User" refers to an individual who uses this system to set goals and strive to achieve them.

[0505] "Goal" refers to the specific purpose or desired state that a user sets to achieve.

[0506] The "desired achievement date" refers to the specific date or period during which the user would like to achieve the goal they have set.

[0507] "Server" refers to a computer system that processes information received from users, stores it in a database, and generates and manages tasks and steps using generative AI, etc.

[0508] "Generative AI" refers to an artificial intelligence model that reverse-engines the tasks and steps required to achieve a goal set by the user.

[0509] A "task" is a specific action that a user must take to achieve a goal.

[0510] A "step" refers to a series of tasks or stages in a process that lead to achieving a goal.

[0511] "Progress information" refers to data recorded by users on the status of their daily task execution.

[0512] "Analysis" refers to the evaluation and analysis of the goal achievement status and user progress based on the progress information received by the server from the user.

[0513] A "reminder" is a notification or message that prompts a user to take necessary action to achieve a goal.

[0514] "Advice" refers to information that provides users with specific suggestions or instructions to help them achieve their goals.

[0515] "Physical store" refers to a physical establishment where users can actually visit and use the services.

[0516] "Progress management" refers to continually monitoring a user's progress toward achieving their goals and providing remedial measures or follow-up guidance as needed.

[0517] "Feedback" refers to evaluations and advice provided to users based on the results and progress they make toward their goals.

[0518] System Overview

[0519] A system for implementing this invention includes means for a user to set a goal and input a desired time for achieving the goal, means for generating tasks and steps for achieving the goal by calculating backwards based on a generation AI, means for displaying the generated tasks and steps to the user, means for inputting daily task progress, means for analyzing progress information and updating the goal achievement status, means for providing reminders and advice, and means for providing progress management and feedback related to a physical store.

[0520] Program Overview

[0521] 1. Profile registration and goal setting

[0522] The server receives input information from the user (name, email address, password, goal, desired time frame for achievement) and stores it in AWS RDS (relational database).

[0523] 2. Task generation using generative AI

[0524] The server inputs the user's set goals and desired timeframe into a generative AI model (OpenAI GPT-4), which then calculates backward to generate the necessary tasks and steps. The generated tasks are then displayed to the user.

[0525] 3. Progress management and analysis

[0526] Users enter their daily task progress, which is then sent from their device to a server and stored in a database. The server analyzes the progress data, updates the progress status, and provides reminders and advice as needed.

[0527] 4. Progress management and feedback at physical stores

[0528] Users' progress information is also linked to physical stores, where it can be viewed by store staff, who can provide feedback and specific guidance to users.

[0529] Hardware and Software Specifications

[0530] Server: AWS EC2

[0531] Database: AWS RDS (PostgreSQL)

[0532] Generative AI model: OpenAI GPT-4

[0533] Frontend: React Native (smartphone app)

[0534] Backend: Node.js (Express)

[0535] Specific examples of processing

[0536] 1. Profile registration and goal setting

[0537] A user launches the application and registers a profile by entering their name, email address, and password. They also enter their goal (e.g., "Get six-pack in three months") and the date they want to achieve it (e.g., "December 31, 2023").

[0538] 2. Task generation using generative AI

[0539] The server passes the received goal and desired timeframe to the generative AI model, using the following prompt:

[0540] Generate training and meal plans based on your goals:

[0541] Goal: Get six-pack in 3 months

[0542] Desired completion date: December 31, 2023

[0543] The generative AI provides five abdominal exercises and a high-protein meal plan per week and displays them to the user.

[0544] 3. Progress management and analysis

[0545] Users input their daily progress (e.g., "Today I did 3 sets of 20 sit-ups"), and the server stores this information in a database, analyzes the progress, and updates it.

[0546] 4. Progress management and feedback at physical stores

[0547] Staff at the physical store will monitor the user's progress and provide appropriate guidance and feedback, for example, adjusting the next training menu based on the user's physical condition.

[0548] This gives users a concrete action plan to achieve their goals efficiently and effectively, and allows for further feedback through collaboration with physical stores.

[0549] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[0550] Step 1:

[0551] A user launches the application and enters their profile information (name, email address, password). This data is sent from the device to the server, which then stores the received data in AWS RDS and creates a user account.

[0552] Input: Name, Email Address, Password

[0553] Output: User account created

[0554] Step 2:

[0555] The user enters their goal and the desired timeframe for achieving it. This data is also sent from the device to the server, and the server stores it in AWS RDS.

[0556] Input: Goal, desired time to achieve

[0557] Output: Save target data

[0558] Step 3:

[0559] The server inputs the user's set goal and desired timeframe into the generative AI model (OpenAI GPT-4). The specific prompt is as follows:

[0560] Generate training and meal plans based on your goals:

[0561] Goal: Get six-pack in 3 months

[0562] Desired completion date: December 31, 2023

[0563] The generation AI generates the necessary tasks and steps, which the server displays to the user.

[0564] Input: Goal, desired time to achieve

[0565] Output: The tasks and steps generated

[0566] Step 4:

[0567] Users enter their daily task progress into the application. This data is sent from the device to the server and stored in AWS RDS. The server analyzes the progress information and updates the goal achievement status.

[0568] Input: Daily task progress information

[0569] Output: Save progress data and analysis results

[0570] Step 5:

[0571] The server then provides reminders and advice to the user based on the progress analysis results, such as "We recommend you get plenty of rest today to promote muscle recovery."

[0572] Input: Progress analysis results

[0573] Output: Reminders and advice

[0574] Step 6:

[0575] Staff at the physical store can check the user's progress through the app and provide feedback and specific guidance based on the user's progress, such as adjusting the next training menu based on their physical condition.

[0576] Input: User progress information

[0577] Output: Feedback and specific instruction

[0578] In this way, a system is realized in which users, terminals, servers, and physical stores work together at each step to provide specific action plans and ongoing support for achieving goals.

[0579] 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.

[0580] The system of this invention allows users to set life goals, presents the tasks and specific steps necessary to achieve those goals, and manages progress. In addition, by combining it with an emotion engine that recognizes the user's emotions, it provides more personalized support. Specific embodiments for implementing this system are described below.

[0581] First, a user accesses the system and enters personal information such as name, email address, and password to create a new account. The device sends this information to the server, which then stores it in a database and creates the user's account.

[0582] Next, the user logs in to the profile page, proceeds to the "Set a goal" screen, and enters the goal (e.g., "Get abs in 3 months") and the desired timeframe for achieving it (e.g., "December 31, 2023"). The device sends this information to the server, and the server saves the received goal and desired timeframe in the user's profile.

[0583] The server then processes the user's goal and desired timeframe using the AI ​​to calculate backwards the necessary tasks and steps. Tasks include, for example, "do 20 sit-ups five times a week" or "eat a high-protein diet." This information is stored in a database by the server and displayed on the user's screen.

[0584] Furthermore, after the user completes their daily tasks, they enter the details of their activities for that day (e.g., "Today I did 20 sit-ups x 3 sets") on the "Enter progress" screen. The device sends this to the server, which analyzes the received progress information and updates the user's progress.

[0585] In particular, when using an emotion engine, a means of recognizing the user's emotions is added. For example, when a user performs a task, the emotion engine recognizes the user's emotions from their voice and facial expressions. The recognized emotion information is sent to a server via the terminal and stored in a database.

[0586] The server dynamically changes the content of reminders and advice based on this emotional information. For example, if the server recognizes that the user is tired, it can provide advice such as, "We recommend that you do some light exercise and get plenty of rest today." This allows users to receive appropriate support according to their emotional state.

[0587] The progress and emotional information are periodically analyzed, and the server checks the user's progress toward their goal and generates feedback, such as "Congratulations! You've achieved your goal of getting six-pack!"

[0588] This system not only provides users with specific action plans and progress management to achieve their goals, but also provides personalized support based on their emotional state, providing users with a powerful tool to achieve their goals more efficiently and effectively.

[0589] The processing flow will be explained below.

[0590] Step 1:

[0591] A user accesses the system and enters information (such as name, email address, and password) to create a new account.

[0592] Step 2:

[0593] The terminal transmits the input information to the server.

[0594] Step 3:

[0595] The server stores the received user information in a database and creates an account for the user.

[0596] Step 4:

[0597] A user logs in to their profile page and opens the "Set Goals" screen.

[0598] Step 5:

[0599] The device provides a form for entering goals and desired timeframes for achieving them.

[0600] Step 6:

[0601] The user inputs a specific goal and the desired time frame for achieving it, and presses the send button.

[0602] Step 7:

[0603] The terminal transmits the entered goal and desired time for achievement to the server.

[0604] Step 8:

[0605] The server stores the received goal and desired time frame for achievement in the user's profile.

[0606] Step 9:

[0607] The server sends a request to the generation AI based on the user's goal and desired time frame for achievement, and generates the necessary tasks and steps by working backwards.

[0608] Step 10:

[0609] The generative AI works backwards to generate the tasks and steps required to achieve the goal.

[0610] Step 11:

[0611] The server stores the task information received from the generated AI in a database and displays it on the user's screen.

[0612] Step 12:

[0613] The user performs daily tasks and enters the details of the day's activities on the "Enter progress" screen.

[0614] Step 13:

[0615] The device sends the user's progress information to the server.

[0616] Step 14:

[0617] The server analyzes the received progress information and updates the user's progress.

[0618] Step 15:

[0619] As the user performs a task, the emotion engine analyzes the user's voice and facial expressions to recognize their emotions.

[0620] Step 16:

[0621] The device transmits the recognized emotion information to the server.

[0622] Step 17:

[0623] The server stores the emotional information in a database and adjusts the content of advice and reminders.

[0624] Step 18:

[0625] The server generates reminders and advice as needed and sends them to the user's device.

[0626] Step 19:

[0627] The device displays reminders and advice to the user.

[0628] Step 20:

[0629] Users can check reminders and advice to help plan their daily activities.

[0630] Step 21:

[0631] The server periodically checks the progress of the goal and generates feedback.

[0632] Step 22:

[0633] The server sends feedback to the user.

[0634] Step 23:

[0635] Users receive feedback to inform next steps and areas for improvement.

[0636] Example 2

[0637] 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."

[0638] Conventional goal achievement support systems provide information on the goals set by the user and progress management, but lack individual support based on the user's emotional state. This makes it difficult to maintain user motivation and provide appropriate feedback, resulting in issues such as reduced goal achievement efficiency. Furthermore, because dynamic support linking progress information and emotional information is not provided, users are unable to receive sufficient emotional support while completing daily tasks.

[0639] 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.

[0640] In this invention, the server includes a means for a user to set a goal and input a desired timeframe for achieving that goal, a means including an emotion engine that recognizes the user's emotions and provides appropriate reminders and advice, and a means for receiving the goal and desired timeframe input by the user and generating tasks and steps for achieving the goal by working backwards based on the generation AI. This allows the user to receive not only a specific action plan and progress management for achieving the goal, but also personalized support according to their emotional state.

[0641] A "goal" is a specific outcome or state that a user wants to achieve.

[0642] "Desired achievement date" indicates the specific deadline by which the user would like to achieve the goal they have set.

[0643] "Generative AI" refers to an artificial intelligence system that automatically generates plans and steps for achieving goals based on the goals and desired timeframe entered by the user.

[0644] A "task" refers to a specific action or activity required to achieve a user's set goal.

[0645] A "step" refers to a specific process or task that needs to be carried out step by step to achieve a goal.

[0646] "Progress" refers to the status and degree of achievement of tasks performed toward goals set by the user.

[0647] "Progress Information" refers to data that records the actions and achievements of users when performing daily tasks.

[0648] "Analysis" refers to the process by which the server interprets and evaluates data based on progress and emotional information obtained from the user.

[0649] An "emotion engine" refers to technology that identifies a user's emotional state from their voice, facial expressions, etc., and provides appropriate feedback and advice.

[0650] "Reminders" refers to a feature that notifies users of their progress toward set tasks and goals.

[0651] "Advice" refers to suggestions or instructions provided to the user based on their progress or emotional state.

[0652] "Database" refers to an information management system for systematically storing and managing a user's goals, desired timeframe for achievement, progress information, emotional information, etc.

[0653] "Feedback" refers to the server's ability to evaluate the user's progress and emotional state and provide support and notifications to help them achieve their goals.

[0654] This system allows users to set life goals, presents tasks and specific steps necessary to achieve those goals, and manages progress. Furthermore, by combining it with an emotion engine that recognizes the user's emotions, it is possible to provide more personalized support. Specific embodiments for implementing this system will be described.

[0655] First, a user accesses the system and enters personal information such as name, email address, and password to create a new account. The device sends this information to the server, which then stores it in a database and creates the user's account.

[0656] Next, the user logs in to the profile page, proceeds to the "Set a goal" screen, and enters the goal (e.g., "Get abs in 3 months") and the desired timeframe for achieving it (e.g., "December 31, 2023"). The device sends this information to the server, and the server saves the received goal and desired timeframe in the user's profile.

[0657] The server processes the user's goals and desired timeframe using AI generation, then calculates backward to generate the necessary tasks and steps. Tasks include, for example, "do 20 sit-ups five times a week" or "eat a high-protein diet." This information is stored in a database by the server and displayed on the user's screen.

[0658] Furthermore, after the user completes their daily tasks, they enter the details of their activities for that day (e.g., "Today I did 20 sit-ups x 3 sets") on the "Enter progress" screen. The device sends this to the server, which analyzes the received progress information and updates the user's progress.

[0659] In particular, when using an emotion engine, a means of recognizing the user's emotions is added. For example, when a user performs a task, the emotion engine recognizes the user's emotions from their voice and facial expressions. The recognized emotion information is sent to a server via the terminal and stored in a database.

[0660] The server dynamically changes the content of reminders and advice based on this emotional information. For example, if the server recognizes that the user is tired, it can provide advice such as, "We recommend that you do some light exercise and get plenty of rest today." This allows users to receive appropriate support according to their emotional state.

[0661] The progress and emotional information are periodically analyzed, and the server checks the user's progress toward their goal and generates feedback, such as "Congratulations! You've achieved your goal of getting six-pack!"

[0662] Specific examples

[0663] Prompt Sentence Example 1:

[0664] If your goal is to get six abs in three months, here's an example of a prompt you can input to your generative AI model:

[0665] Goal: Get six-pack in 3 months

[0666] Desired achievement date: December 31, 2023

[0667] Progress Tracker: 5 sit-ups per week, 20 repetitions per set

[0668] Support needed: High-protein diet, light exercise suggestions

[0669] Prompt Sentence Example 2:

[0670] If you set a different goal, "Learn English conversation in six months," you might use the following prompt:

[0671] Goal: Master English conversation in six months

[0672] Desired date of achievement: June 30, 2024

[0673] Progress management: 1 hour of English conversation practice every day

[0674] Support needed: Weekly mock conversation sessions and progress reviews

[0675] By inputting such specific prompts into the generative AI model, effective tasks and steps can be generated to help users achieve their goals.

[0676] The flow of the identification process in the second embodiment will be described with reference to FIG.

[0677] Step 1:

[0678] First, a user accesses the system and enters personal information such as name, email address, and password to create a new account. The device sends this information to the server, which stores the received information in a database and creates an account for the user. The input in this step is the user's personal information, and the output is the created user account.

[0679] Step 2:

[0680] Next, the user logs in to the profile page and proceeds to the "Set a goal" screen. The user enters a specific goal (e.g., "Get abs in 3 months") and the desired timeframe for achieving it (e.g., "December 31, 2023"). The device sends this information to the server. The server stores the received goal and desired timeframe in a database. The input in this step is the goal setting information, and the output is the saved goal information.

[0681] Step 3:

[0682] When the server receives the user's goal and desired timeframe for achievement, it uses a generative AI model to calculate backwards and generate the necessary tasks and steps. Specifically, the AI ​​performs calculations based on the input goal information and generates specific tasks such as "do sit-ups 5 times a week, 20 times per set" or "eat a high-protein diet." These tasks are stored in a database by the server and displayed on the user's screen via their device. The input in this step is goal information, and the output is the generated task information.

[0683] Step 4:

[0684] After the user performs their daily tasks, they enter the details of their activities for that day (e.g., "Today I did 20 sit-ups x 3 sets") on the "Enter progress" screen. The device sends this progress information to the server. The server stores the received progress information in a database and updates the progress status. The input in this step is the progress information of the performed tasks, and the output is the updated progress status.

[0685] Step 5:

[0686] When a user performs a task, the emotion engine recognizes emotions from the user's voice and facial expressions. The recognized emotion information is sent to the server via the device and stored in a database. The input in this step is the user's emotion data, and the output is the stored emotion information.

[0687] Step 6:

[0688] The server dynamically changes the content of reminders and advice based on this emotional information. For example, if the user's emotional data indicates fatigue, the server automatically generates advice such as "We recommend that you do some light exercise and get plenty of rest today" and provides it to the user via their device. The input in this step is emotional information, and the output is customized advice.

[0689] Step 7:

[0690] The server periodically analyzes the progress status and emotional information, checks the progress of the goal, and generates feedback. Specifically, it analyzes the progress data and emotional data together, and when the set goal is achieved, it generates feedback such as "Congratulations! You've achieved your goal of getting six-pack!" and sends it to the user via the device. The input in this step is the progress information and emotional information, and the output is the generated feedback.

[0691] (Application example 2)

[0692] 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."

[0693] While conventional goal setting systems allow users to set goals and manage their progress, they are unable to provide appropriate support or advice tailored to individual emotional states, making it difficult for users to effectively achieve their goals. Furthermore, in factories and other workplaces, there is a lack of individual support to optimize the performance of robots and workers, resulting in the inability to maximize work efficiency.

[0694] The specific processing by the specific processing unit 290 of the data processing device 12 in Application Example 2 is realized by the following means. In this invention, the server includes: a means for a user to set a goal and input a desired timeframe for achieving the goal; a means for receiving the user's input goal and desired timeframe and generating tasks and steps for achieving the goal by back-calculating them based on a generation AI; a means for displaying the generated tasks and steps to the user; a means for the user to input daily task progress; a means for analyzing the user's input progress information and updating the goal achievement status; a means for providing reminders and advice as needed; and a means for detecting the user's emotional state using an emotion engine and dynamically adjusting the content of tasks and advice based on the user's emotional state. This allows users to create specific action plans toward their goals and receive personalized support tailored to their emotional state. Furthermore, in factories and other workplaces, the performance of robots and workers can be optimized, maximizing work efficiency.

[0695] "User" refers to an individual or worker who uses this system to set goals and strive to achieve them.

[0696] A "goal" is a specific result or progress that a user wishes to achieve.

[0697] "Desired achievement date" refers to a specific date by which the user wishes to achieve the goal they have set.

[0698] "Generative AI" refers to an artificial intelligence algorithm that automatically generates the necessary tasks and steps by working backwards from the goals set by the user.

[0699] A "task" is a specific task or activity that a user must perform to achieve a goal.

[0700] "Steps" refer to the specific stages or processes that a user must go through to achieve a goal.

[0701] An "emotion engine" is a system that recognizes the user's emotional state from their voice, facial expressions, etc., and responds appropriately based on that.

[0702] "Reminders" refer to notifications and messages that help users remember the goals and tasks they have set.

[0703] "Advice" refers to messages that offer advice or recommended actions users need to take to achieve their goals.

[0704] "Dynamic adjustment" refers to changing and updating the content of tasks and advice in real time in response to changes in the user's emotional state, etc.

[0705] This invention is a system that allows users to set goals, presents specific tasks and steps for achieving those goals, and manages progress. Furthermore, it uses an emotion engine to recognize the user's emotional state and provide personalized support. The specific configuration and processing of the system are described below.

[0706] System configuration

[0707] This system primarily utilizes the following hardware and software:

[0708] Hardware: The devices used by users (smartphones, smart glasses, head-mounted displays, factory robots, etc.)

[0709] software:

[0710] Generative AI models (algorithms that generate tasks and steps to achieve a goal)

[0711] Emotion recognition software (libraries for detecting a user's emotional state)

[0712] Cloud services (e.g., AWS, GCP for data processing and storage)

[0713] System Operation

[0714] Creating a user account

[0715] First, a user accesses the system and creates a new account. The user enters personal information such as name, email address, and password, and the device sends this information to the server. The server stores the received information in a database and creates the user's account.

[0716] Setting goals and desired timeframes for achievement

[0717] When a user logs in to their profile page and proceeds to the "Set a goal" screen, they enter their goal (e.g., "Increase the robot's operating time by 20% in one month") and the desired timeframe for achieving it (e.g., "December 31, 2023"). The device sends this information to the server, and the server saves the received goal and desired timeframe in the user's profile.

[0718] Creating Tasks and Steps

[0719] The server then processes the user's goals and desired timeframes based on the generative AI model and generates the necessary tasks and steps. Tasks might include, for example, "Perform quality checks five times a week" or "Perform regular machine maintenance." This information is stored in a database by the server and displayed on the user's screen.

[0720] Example prompt sentence:

[0721] The user has set a goal: "Increase the robot's uptime by 20% in one month." Please suggest specific tasks to achieve this goal.

[0722] Progress and emotional input

[0723] After a user completes a daily task, they enter the details of that day's activities (e.g., "I performed three quality checks today") on the "Enter progress" screen. The device sends this information to the server, which then analyzes the received progress information and updates the user's progress.

[0724] When using the emotion engine, the system recognizes the user's emotional state (e.g., "tired") from their voice and facial expressions, and sends that information to the server via the device. The recognized emotional information is then stored in a database.

[0725] Providing reminders and advice

[0726] The server dynamically changes the content of reminders and advice based on progress and emotional information. For example, if the server recognizes that the user is tired, it can provide advice such as "Do light work today and get plenty of rest." This allows users to receive appropriate support according to their emotional state.

[0727] Generate feedback

[0728] The progress and emotional information are periodically analyzed, and the server checks the user's progress toward their goal and generates feedback, such as "Congratulations! You've achieved your goal of increasing robot uptime by 20%!"

[0729] The system not only provides users with specific action plans and progress management to achieve their goals, but also provides personalized support based on their emotional state, providing them with powerful tools to achieve their goals more efficiently and effectively. It also optimizes the performance of robots and workers in factories, maximizing work efficiency.

[0730] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[0731] Step 1:

[0732] The device receives input from the user. The user enters their name, email address, and password to create an account. The device sends the input to the server, which stores it in a database.

[0733] Input: Name, email address, password

[0734] Data processing: Organize input information according to the format

[0735] Output: User account information registered in the database

[0736] Step 2:

[0737] The device receives goal setting information from the user. The user enters the goal (e.g., "Increase the robot's operating time by 20% in one month") and the desired time frame for achieving it (e.g., "December 31, 2023"). The device sends this information to the server, which stores it in a database.

[0738] Input: Goal, desired time to achieve

[0739] Data processing: Organize input information according to the format

[0740] Output: Target information registered in database

[0741] Step 3:

[0742] The server uses the generation AI to generate the tasks and steps required to achieve the goal. The server inputs the goal and desired timeframe into the generation AI, generates prompts, sends them to the AI ​​model, and then calculates and generates the necessary tasks. The generated tasks and steps are stored in a database and sent to the device.

[0743] Input: Goal, desired time to achieve

[0744] Data Transformation: Generating Tasks and Steps Using Generative AI Models

[0745] Output: Generated tasks, steps

[0746] Example prompt sentence:

[0747] The user has set a goal: "Increase the robot's uptime by 20% in one month." Please suggest specific tasks to achieve this goal.

[0748] Step 4:

[0749] The user performs daily tasks and inputs progress information into the device. For example, "I performed three quality checks today." The device receives this information and sends it to the server. The server stores this information in a database and analyzes the progress information.

[0750] Input: Daily progress information

[0751] Data processing: Analysis of progress information

[0752] Output: Updated progress

[0753] Step 5:

[0754] The emotion engine recognizes the user's emotional state from their voice and facial expressions. The recognized emotional information (e.g., "tired") is sent to the server via the device and stored in a database.

[0755] Input: User's emotional state

[0756] Data processing: Analyzing emotional states using emotion recognition software

[0757] Output: Recognized emotion information

[0758] Step 6:

[0759] The server dynamically changes the content of reminders and advice based on progress and emotion information. For example, if the server detects that the user is tired, it generates advice such as "Do light work today and get plenty of rest" and sends it to the device.

[0760] Input: progress information, emotion information

[0761] Data processing: Advice generation based on progress and emotion information

[0762] Output: Dynamically changed reminders and advice

[0763] Step 7:

[0764] The server analyzes the progress and emotional information, checks the user's progress toward achieving the goal, and generates feedback. If the user achieves the goal, it generates a congratulatory message and sends it to the device (e.g., "Congratulations! You've achieved your goal of increasing robot operating time by 20%!").

[0765] Input: progress information, emotion information

[0766] Data processing: Analysis of goal achievement status and feedback generation

[0767] Output: Feedback message

[0768] Through these steps, the system provides users with specific action plans and progress tracking to help them achieve their goals, as well as personalized support based on their emotional state.

[0769] 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.

[0770] 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.

[0771] 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.

[0772] [Third embodiment]

[0773] FIG. 5 shows an example of the configuration of a data processing system 310 according to the third embodiment.

[0774] 5, the data processing system 310 includes the data processing device 12 and a headset terminal 314. An example of the data processing device 12 is a server.

[0775] 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).

[0776] 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.

[0777] 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.

[0778] 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).

[0779] 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.

[0780] 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.

[0781] 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.

[0782] 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.

[0783] 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.

[0784] 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."

[0785] The system of the present invention allows users to set life goals, presents tasks and specific steps necessary to achieve those goals, and manages progress. Specific embodiments for implementing this system are described below.

[0786] First, a user accesses the system and registers their profile, which includes personal information such as name, email address, and password. This information is sent via the terminal to the server, which then stores the received information in a database and creates a user account.

[0787] Next, the user goes to the "Set a goal" screen and inputs a specific goal (e.g., "Get abs in 3 months") and the desired timeframe for achieving it (e.g., "December 31, 2023"). The device sends this information to the server, which then stores the received goal and desired timeframe in the user's profile.

[0788] The server then processes the user's goals and desired timeframe using a generation AI, which then calculates backwards to generate the necessary tasks and steps. For example, it provides a specific training menu such as "do 20 sit-ups five times a week" or a diet plan such as "eat a high-protein diet."

[0789] The generated tasks and steps are displayed on the user's screen by the server, and the user follows them to carry out their daily activities. Task progress is sent from the device to the server when the user inputs the details of their activities for the day. For example, they might input, "Today I did 20 sit-ups x 3 sets."

[0790] The server analyzes the received progress information, updates the user on their progress toward their goal, and provides reminders and specific advice as needed, such as "We recommend you get plenty of rest today to promote muscle recovery."

[0791] Progress is analyzed periodically, and the server stores the user's goal achievement status in a database. It also checks whether the goal has been achieved, and if so, provides feedback to the user. For example, it might say, "Congratulations! You've achieved your goal of getting six abs!"

[0792] This system allows users to set more specific goals and obtain an action plan to achieve them. Furthermore, progress management and feedback make it easier to maintain motivation to achieve goals. This system is a powerful support tool for users to achieve their goals efficiently and effectively.

[0793] The processing flow will be explained below.

[0794] Step 1:

[0795] A user accesses the system and enters information (such as name, email address, and password) to create a new account.

[0796] Step 2:

[0797] The terminal transmits the input information to the server.

[0798] Step 3:

[0799] The server stores the received user information in a database and creates an account for the user.

[0800] Step 4:

[0801] A user logs in to their profile page and opens the "Set Goals" screen.

[0802] Step 5:

[0803] The device provides a form for entering goals and desired timeframes for achieving them.

[0804] Step 6:

[0805] The user inputs a specific goal and the desired time frame for achieving it, and presses the send button.

[0806] Step 7:

[0807] The terminal transmits the entered goal and desired time for achievement to the server.

[0808] Step 8:

[0809] The server receives the user's goal and desired time frame for achieving it, and sends a request to generate tasks and steps to achieve the goal based on the generation AI.

[0810] Step 9:

[0811] The generative AI works backwards to generate the tasks and steps required to achieve the goal.

[0812] Step 10:

[0813] The server stores the task information received from the generated AI in a database and displays it on the user's screen.

[0814] Step 11:

[0815] The user performs daily tasks and enters the details of the day's activities on the "Enter progress" screen.

[0816] Step 12:

[0817] The device sends the user's progress information to the server.

[0818] Step 13:

[0819] The server analyzes the received progress information and updates the user's progress.

[0820] Step 14:

[0821] The server generates reminders and advice based on your progress.

[0822] Step 15:

[0823] The server generates reminders and advice and sends them to the user's device.

[0824] Step 16:

[0825] The device displays reminders and advice to the user.

[0826] Step 17:

[0827] Users can check reminders and advice to help plan their daily activities.

[0828] Step 18:

[0829] The server periodically checks the progress of the goal and generates feedback.

[0830] Step 19:

[0831] The server sends the feedback to the user.

[0832] Step 20:

[0833] Users receive feedback to inform next steps and areas for improvement.

[0834] Example 1

[0835] 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."

[0836] Conventional goal setting and achievement management systems lacked the functionality to automatically generate specific tasks and steps to achieve the goals set by the user. Furthermore, the generated tasks and steps were not updated appropriately according to the user's progress, making it difficult to manage progress toward goal achievement. Furthermore, the lack of appropriate reminders and advice for users made it difficult to maintain motivation to achieve their goals.

[0837] 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.

[0838] In this invention, the server includes: means for a user to set a goal and input a desired timeframe for achieving the goal; means for receiving the goal and desired timeframe input by the user and generating tasks and steps for achieving the goal by working backwards based on the generation AI; means for the user to input daily task progress; means for analyzing the progress information input by the user and updating the goal achievement status; means for providing reminders and advice as needed; and means for generating prompt sentences as input to the generation AI model and calling the generation AI model. This enables the user to receive a specific and individually customized goal achievement plan, making it easier to maintain motivation for goal achievement while receiving appropriate feedback and advice according to the progress status.

[0839] "User" refers to an individual or organization that uses this system to set goals and manage their progress.

[0840] A "goal" is a specific result or outcome that a user wants to achieve. An example would be something specific like "getting six-pack in three months."

[0841] The "desired time of achievement" is a deadline indicating when the user wants to achieve the goal they have set.

[0842] "Generative AI" refers to an artificial intelligence model that automatically generates tasks and steps to achieve a goal based on the user's goal and desired time frame for achieving it.

[0843] "Tasks or steps" are the specific actions or plans you must take to achieve your goal. Examples include a specific exercise routine or diet plan.

[0844] A "prompt" is an instruction that is input to a generative AI model to generate a goal achievement plan.

[0845] "Terminal" refers to the device a User uses to access this System and enter or retrieve information. Examples include computers and smartphones.

[0846] "Server" refers to the central processing unit that analyzes information received from users, stores it in a database, and then invokes generative AI models to generate tasks and steps.

[0847] The "database" is an information storage system for storing and managing user profiles, goals, desired timeframes for achievement, progress information, etc.

[0848] The system of this invention allows users to set life goals, presents the tasks and specific steps necessary to achieve those goals, and manages progress. Specifically, it is implemented in the following steps.

[0849] First, a user accesses the system and registers their profile. During this registration process, they enter personal information such as their name, email address, and password. The device then sends the information to the server, which then stores it in a database and creates a user account.

[0850] Next, the user goes to the "Goal Setting" screen and enters a specific goal and the timeframe they want to achieve it. For example, they might set a goal of "getting six-pack in three months" and a timeframe of "December 31, 2023." The device sends this information to the server, which then stores it in the user's profile.

[0851] The server calls the generative AI model based on the received goal and desired timeframe. This generative AI model uses a commercially available artificial intelligence model (e.g., GPT-3). Specifically, the following prompt is input to the generative AI model:

[0852] "Please provide the following specific steps or tasks to help users achieve their goal of ripped abs in 3 months. Please include details such as specific exercises, repetitions, sets, rest days, and diet plan."

[0853] The generative AI model generates specific training menus and dietary management plans based on the prompts. For example, it generates a training menu such as "Do 20 sit-ups per set five times a week" or a dietary management plan such as "Eat a high-protein diet." The server stores the generated tasks and steps in a database.

[0854] The server sends the saved tasks and steps to the user's device, which then displays them to the user. The user then performs their daily activities according to the displayed tasks and steps. The user then inputs their progress from the device to the server. For example, the user might input, "Today I did 20 sit-ups x 3 sets."

[0855] The server analyzes the received progress information using an SQL database and updates the user's progress. It also provides reminders and specific advice based on the progress of the goal. For example, it sends advice such as, "We recommend you get plenty of rest today to promote muscle recovery."

[0856] In this way, users can use the system to receive specific, individually customized goal achievement plans, and can stay motivated to achieve their goals while receiving appropriate feedback and advice based on their progress.

[0857] The flow of the identification process in the first embodiment will be described with reference to FIG.

[0858] Step 1:

[0859] A user accesses the system and registers their profile. The user enters personal information such as name, email address, and password. The terminal sends the entered information (name, email address, password, etc.) to the server. The server analyzes the received information and saves the user account in a database. The input data is personal information, and the output data is the user record saved in the database.

[0860] Step 2:

[0861] The user proceeds to the "Goal Setting" screen and inputs a specific goal and the desired time frame for achieving it. For example, the user inputs a goal of "getting six-pack in three months" and a desired time frame for achieving it of "December 31, 2023." The device sends this information (goal, desired time frame) to the server. The server then saves the received goal and desired time frame in the user profile. The input data is the goal and desired time frame, and the output data is the goal information saved in the database.

[0862] Step 3:

[0863] The server calls a generative AI model based on the received goal and desired timeframe. This generative AI model uses a commercially available artificial intelligence model (e.g., GPT-3). The server sends a prompt to the generative AI model: "Please provide the specific steps and tasks below to help the user achieve their goal of getting six-pack in three months. Please provide details such as the specific exercise menu, number of repetitions, number of sets, rest days, and diet plan." The generative AI model generates a specific training menu and diet plan based on the prompt. The input data is the prompt, and the output data is the specific tasks and steps generated.

[0864] Step 4:

[0865] The server stores the generated tasks and steps in a database and sends them to the terminal for display to the user. The terminal displays the received tasks and steps to the user in an intuitive interface. The input data are the generated tasks and steps, and the output data are the tasks and steps displayed to the user.

[0866] Step 5:

[0867] The user inputs the progress of their daily activities and tasks. For example, they might input, "Today I did 3 sets of 20 sit-ups." The device sends this information to the server. The server stores the received progress information in a database. The input data is the progress information, and the output data is the progress record stored in the database.

[0868] Step 6:

[0869] The server analyzes the received progress information and updates the user's goal achievement status. For example, it calculates the goal achievement rate based on the progress data and provides the user with necessary reminders and specific advice. For example, it generates advice such as "We recommend you take sufficient rest today to promote muscle recovery" and sends it to the device. The input data is the progress information, and the output data is the updated goal achievement status and the generated advice.

[0870] Step 7:

[0871] The server periodically analyzes the progress information and updates the database with the user's progress toward their goal. It also checks whether the goal has been achieved and, if so, sends a congratulatory message to the user. For example, it provides feedback such as "Congratulations! You've achieved your goal of getting six-pack!" The input data is the analyzed progress, and the output data is the updated progress and feedback message.

[0872] (Application example 1)

[0873] 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."

[0874] Conventional goal management systems lacked a mechanism for automatically generating specific tasks and steps for achieving the goals set by users. They also had limited means for efficiently managing users' progress and providing timely reminders and advice. This resulted in insufficient support for users to effectively achieve their goals. Furthermore, physical fitness centers and other physical fitness centers lacked a system for providing feedback based on users' progress, resulting in weak collaboration between the stores and users.

[0875] 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.

[0876] In this invention, the server includes means for a user to set a goal and input a desired timeframe for achieving the goal, means for receiving the goal and desired timeframe input by the user and generating tasks and steps for achieving the goal by calculating backwards based on the generation AI, means for the user to input the progress of daily tasks, means for analyzing the progress information input by the user and updating the goal achievement status, means for providing reminders and advice as needed, and means for providing progress management and feedback related to physical stores to the user. This allows the user to obtain a specific action plan for efficiently and effectively achieving the goal and also allows the user to receive further feedback through collaboration with physical stores.

[0877] "User" refers to an individual who uses this system to set goals and strive to achieve them.

[0878] "Goal" refers to the specific purpose or desired state that a user sets to achieve.

[0879] The "desired achievement date" refers to the specific date or period during which the user would like to achieve the goal they have set.

[0880] "Server" refers to a computer system that processes information received from users, stores it in a database, and generates and manages tasks and steps using generative AI, etc.

[0881] "Generative AI" refers to an artificial intelligence model that reverse-engines the tasks and steps required to achieve a goal set by the user.

[0882] A "task" is a specific action that a user must take to achieve a goal.

[0883] A "step" refers to a series of tasks or stages in a process that lead to achieving a goal.

[0884] "Progress information" refers to data recorded by users on the status of their daily task execution.

[0885] "Analysis" refers to the evaluation and analysis of the goal achievement status and user progress based on the progress information received by the server from the user.

[0886] A "reminder" is a notification or message that prompts a user to take necessary action to achieve a goal.

[0887] "Advice" refers to information that provides users with specific suggestions or instructions to help them achieve their goals.

[0888] "Physical store" refers to a physical establishment where users can actually visit and use the services.

[0889] "Progress management" refers to continually monitoring a user's progress toward achieving their goals and providing remedial measures or follow-up guidance as needed.

[0890] "Feedback" refers to evaluations and advice provided to users based on the results and progress they make toward their goals.

[0891] System Overview

[0892] A system for implementing this invention includes means for a user to set a goal and input a desired time for achieving the goal, means for generating tasks and steps for achieving the goal by calculating backwards based on a generation AI, means for displaying the generated tasks and steps to the user, means for inputting daily task progress, means for analyzing progress information and updating the goal achievement status, means for providing reminders and advice, and means for providing progress management and feedback related to a physical store.

[0893] Program Overview

[0894] 1. Profile registration and goal setting

[0895] The server receives input information from the user (name, email address, password, goal, desired time frame for achievement) and stores it in AWS RDS (relational database).

[0896] 2. Task generation using generative AI

[0897] The server inputs the user's set goals and desired timeframe into a generative AI model (OpenAI GPT-4), which then calculates backward to generate the necessary tasks and steps. The generated tasks are then displayed to the user.

[0898] 3. Progress management and analysis

[0899] Users enter their daily task progress, which is then sent from their device to a server and stored in a database. The server analyzes the progress data, updates the progress status, and provides reminders and advice as needed.

[0900] 4. Progress management and feedback at physical stores

[0901] Users' progress information is also linked to physical stores, where it can be viewed by store staff, who can provide feedback and specific guidance to users.

[0902] Hardware and Software Specifications

[0903] Server: AWS EC2

[0904] Database: AWS RDS (PostgreSQL)

[0905] Generative AI model: OpenAI GPT-4

[0906] Frontend: React Native (smartphone app)

[0907] Backend: Node.js (Express)

[0908] Specific examples of processing

[0909] 1. Profile registration and goal setting

[0910] A user launches the application and registers a profile by entering their name, email address, and password. They also enter their goal (e.g., "Get six-pack in three months") and the date they want to achieve it (e.g., "December 31, 2023").

[0911] 2. Task generation using generative AI

[0912] The server passes the received goal and desired timeframe to the generative AI model, using the following prompt:

[0913] Generate training and meal plans based on your goals:

[0914] Goal: Get six-pack in 3 months

[0915] Desired completion date: December 31, 2023

[0916] The generative AI provides five abdominal exercises and a high-protein meal plan per week and displays them to the user.

[0917] 3. Progress management and analysis

[0918] Users input their daily progress (e.g., "Today I did 3 sets of 20 sit-ups"), and the server stores this information in a database, analyzes the progress, and updates it.

[0919] 4. Progress management and feedback at physical stores

[0920] Staff at the physical store will monitor the user's progress and provide appropriate guidance and feedback, for example, adjusting the next training menu based on the user's physical condition.

[0921] This gives users a concrete action plan to achieve their goals efficiently and effectively, and allows for further feedback through collaboration with physical stores.

[0922] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[0923] Step 1:

[0924] A user launches the application and enters their profile information (name, email address, password). This data is sent from the device to the server, which then stores the received data in AWS RDS and creates a user account.

[0925] Input: Name, Email Address, Password

[0926] Output: User account created

[0927] Step 2:

[0928] The user enters their goal and the desired timeframe for achieving it. This data is also sent from the device to the server, and the server stores it in AWS RDS.

[0929] Input: Goal, desired time to achieve

[0930] Output: Save target data

[0931] Step 3:

[0932] The server inputs the user's set goal and desired timeframe into the generative AI model (OpenAI GPT-4). The specific prompt is as follows:

[0933] Generate training and meal plans based on your goals:

[0934] Goal: Get six-pack in 3 months

[0935] Desired completion date: December 31, 2023

[0936] The generation AI generates the necessary tasks and steps, which the server displays to the user.

[0937] Input: Goal, desired time to achieve

[0938] Output: The tasks and steps generated

[0939] Step 4:

[0940] Users enter their daily task progress into the application. This data is sent from the device to the server and stored in AWS RDS. The server analyzes the progress information and updates the goal achievement status.

[0941] Input: Daily task progress information

[0942] Output: Save progress data and analysis results

[0943] Step 5:

[0944] The server then provides reminders and advice to the user based on the progress analysis results, such as "We recommend you get plenty of rest today to promote muscle recovery."

[0945] Input: Progress analysis results

[0946] Output: Reminders and advice

[0947] Step 6:

[0948] Staff at the physical store can check the user's progress through the app and provide feedback and specific guidance based on the user's progress, such as adjusting the next training menu based on their physical condition.

[0949] Input: User progress information

[0950] Output: Feedback and specific instruction

[0951] In this way, a system is realized in which users, terminals, servers, and physical stores work together at each step to provide specific action plans and ongoing support for achieving goals.

[0952] 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.

[0953] The system of this invention allows users to set life goals, presents the tasks and specific steps necessary to achieve those goals, and manages progress. In addition, by combining it with an emotion engine that recognizes the user's emotions, it provides more personalized support. Specific embodiments for implementing this system are described below.

[0954] First, a user accesses the system and enters personal information such as name, email address, and password to create a new account. The device sends this information to the server, which then stores it in a database and creates the user's account.

[0955] Next, the user logs in to the profile page, proceeds to the "Set a goal" screen, and enters the goal (e.g., "Get abs in 3 months") and the desired timeframe for achieving it (e.g., "December 31, 2023"). The device sends this information to the server, and the server saves the received goal and desired timeframe in the user's profile.

[0956] The server then processes the user's goal and desired timeframe using the AI ​​to calculate backwards the necessary tasks and steps. Tasks include, for example, "do 20 sit-ups five times a week" or "eat a high-protein diet." This information is stored in a database by the server and displayed on the user's screen.

[0957] Furthermore, after the user completes their daily tasks, they enter the details of their activities for that day (e.g., "Today I did 20 sit-ups x 3 sets") on the "Enter progress" screen. The device sends this to the server, which analyzes the received progress information and updates the user's progress.

[0958] In particular, when using an emotion engine, a means of recognizing the user's emotions is added. For example, when a user performs a task, the emotion engine recognizes the user's emotions from their voice and facial expressions. The recognized emotion information is sent to a server via the terminal and stored in a database.

[0959] The server dynamically changes the content of reminders and advice based on this emotional information. For example, if the server recognizes that the user is tired, it can provide advice such as, "We recommend that you do some light exercise and get plenty of rest today." This allows users to receive appropriate support according to their emotional state.

[0960] The progress and emotional information are periodically analyzed, and the server checks the user's progress toward their goal and generates feedback, such as "Congratulations! You've achieved your goal of getting six-pack!"

[0961] This system not only provides users with specific action plans and progress management to achieve their goals, but also provides personalized support based on their emotional state, providing users with a powerful tool to achieve their goals more efficiently and effectively.

[0962] The processing flow will be explained below.

[0963] Step 1:

[0964] A user accesses the system and enters information (such as name, email address, and password) to create a new account.

[0965] Step 2:

[0966] The terminal transmits the input information to the server.

[0967] Step 3:

[0968] The server stores the received user information in a database and creates an account for the user.

[0969] Step 4:

[0970] A user logs in to their profile page and opens the "Set Goals" screen.

[0971] Step 5:

[0972] The device provides a form for entering goals and desired timeframes for achieving them.

[0973] Step 6:

[0974] The user inputs a specific goal and the desired time frame for achieving it, and presses the send button.

[0975] Step 7:

[0976] The terminal transmits the entered goal and desired time for achievement to the server.

[0977] Step 8:

[0978] The server stores the received goal and desired time frame for achievement in the user's profile.

[0979] Step 9:

[0980] The server sends a request to the generation AI based on the user's goal and desired time frame for achievement, and generates the necessary tasks and steps by working backwards.

[0981] Step 10:

[0982] The generative AI works backwards to generate the tasks and steps required to achieve the goal.

[0983] Step 11:

[0984] The server stores the task information received from the generated AI in a database and displays it on the user's screen.

[0985] Step 12:

[0986] The user performs daily tasks and enters the details of the day's activities on the "Enter progress" screen.

[0987] Step 13:

[0988] The device sends the user's progress information to the server.

[0989] Step 14:

[0990] The server analyzes the received progress information and updates the user's progress.

[0991] Step 15:

[0992] As the user performs a task, the emotion engine analyzes the user's voice and facial expressions to recognize their emotions.

[0993] Step 16:

[0994] The device transmits the recognized emotion information to the server.

[0995] Step 17:

[0996] The server stores the emotional information in a database and adjusts the content of advice and reminders.

[0997] Step 18:

[0998] The server generates reminders and advice as needed and sends them to the user's device.

[0999] Step 19:

[1000] The device displays reminders and advice to the user.

[1001] Step 20:

[1002] Users can check reminders and advice to help plan their daily activities.

[1003] Step 21:

[1004] The server periodically checks the progress of the goal and generates feedback.

[1005] Step 22:

[1006] The server sends feedback to the user.

[1007] Step 23:

[1008] Users receive feedback to inform next steps and areas for improvement.

[1009] Example 2

[1010] 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."

[1011] Conventional goal achievement support systems provide information on the goals set by the user and progress management, but lack individual support based on the user's emotional state. This makes it difficult to maintain user motivation and provide appropriate feedback, resulting in issues such as reduced goal achievement efficiency. Furthermore, because dynamic support linking progress information and emotional information is not provided, users are unable to receive sufficient emotional support while completing daily tasks.

[1012] 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.

[1013] In this invention, the server includes a means for a user to set a goal and input a desired timeframe for achieving that goal, a means including an emotion engine that recognizes the user's emotions and provides appropriate reminders and advice, and a means for receiving the goal and desired timeframe input by the user and generating tasks and steps for achieving the goal by working backwards based on the generation AI. This allows the user to receive not only a specific action plan and progress management for achieving the goal, but also personalized support according to their emotional state.

[1014] A "goal" is a specific outcome or state that a user wants to achieve.

[1015] "Desired achievement date" indicates the specific deadline by which the user would like to achieve the goal they have set.

[1016] "Generative AI" refers to an artificial intelligence system that automatically generates plans and steps for achieving goals based on the goals and desired timeframe entered by the user.

[1017] A "task" refers to a specific action or activity required to achieve a user's set goal.

[1018] A "step" refers to a specific process or task that needs to be carried out step by step to achieve a goal.

[1019] "Progress" refers to the status and degree of achievement of tasks performed toward goals set by the user.

[1020] "Progress Information" refers to data that records the actions and achievements of users when performing daily tasks.

[1021] "Analysis" refers to the process by which the server interprets and evaluates data based on progress and emotional information obtained from the user.

[1022] An "emotion engine" refers to technology that identifies a user's emotional state from their voice, facial expressions, etc., and provides appropriate feedback and advice.

[1023] "Reminders" refers to a feature that notifies users of their progress toward set tasks and goals.

[1024] "Advice" refers to suggestions or instructions provided to the user based on their progress or emotional state.

[1025] "Database" refers to an information management system for systematically storing and managing a user's goals, desired timeframe for achievement, progress information, emotional information, etc.

[1026] "Feedback" refers to the server's ability to evaluate the user's progress and emotional state and provide support and notifications to help them achieve their goals.

[1027] This system allows users to set life goals, presents tasks and specific steps necessary to achieve those goals, and manages progress. Furthermore, by combining it with an emotion engine that recognizes the user's emotions, it is possible to provide more personalized support. Specific embodiments for implementing this system will be described.

[1028] First, a user accesses the system and enters personal information such as name, email address, and password to create a new account. The device sends this information to the server, which then stores it in a database and creates the user's account.

[1029] Next, the user logs in to the profile page, proceeds to the "Set a goal" screen, and enters the goal (e.g., "Get abs in 3 months") and the desired timeframe for achieving it (e.g., "December 31, 2023"). The device sends this information to the server, and the server saves the received goal and desired timeframe in the user's profile.

[1030] The server processes the user's goals and desired timeframe using AI generation, then calculates backward to generate the necessary tasks and steps. Tasks include, for example, "do 20 sit-ups five times a week" or "eat a high-protein diet." This information is stored in a database by the server and displayed on the user's screen.

[1031] Furthermore, after the user completes their daily tasks, they enter the details of their activities for that day (e.g., "Today I did 20 sit-ups x 3 sets") on the "Enter progress" screen. The device sends this to the server, which analyzes the received progress information and updates the user's progress.

[1032] In particular, when using an emotion engine, a means of recognizing the user's emotions is added. For example, when a user performs a task, the emotion engine recognizes the user's emotions from their voice and facial expressions. The recognized emotion information is sent to a server via the terminal and stored in a database.

[1033] The server dynamically changes the content of reminders and advice based on this emotional information. For example, if the server recognizes that the user is tired, it can provide advice such as, "We recommend that you do some light exercise and get plenty of rest today." This allows users to receive appropriate support according to their emotional state.

[1034] The progress and emotional information are periodically analyzed, and the server checks the user's progress toward their goal and generates feedback, such as "Congratulations! You've achieved your goal of getting six-pack!"

[1035] Specific examples

[1036] Prompt Sentence Example 1:

[1037] If your goal is to get six abs in three months, here's an example of a prompt you can input to your generative AI model:

[1038] Goal: Get six-pack in 3 months

[1039] Desired achievement date: December 31, 2023

[1040] Progress Tracker: 5 sit-ups per week, 20 repetitions per set

[1041] Support needed: High-protein diet, light exercise suggestions

[1042] Prompt Sentence Example 2:

[1043] If you set a different goal, "Learn English conversation in six months," you might use the following prompt:

[1044] Goal: Master English conversation in six months

[1045] Desired date of achievement: June 30, 2024

[1046] Progress management: 1 hour of English conversation practice every day

[1047] Support needed: Weekly mock conversation sessions and progress reviews

[1048] By inputting such specific prompts into the generative AI model, effective tasks and steps can be generated to help users achieve their goals.

[1049] The flow of the identification process in the second embodiment will be described with reference to FIG.

[1050] Step 1:

[1051] First, a user accesses the system and enters personal information such as name, email address, and password to create a new account. The device sends this information to the server, which stores the received information in a database and creates an account for the user. The input in this step is the user's personal information, and the output is the created user account.

[1052] Step 2:

[1053] Next, the user logs in to the profile page and proceeds to the "Set a goal" screen. The user enters a specific goal (e.g., "Get abs in 3 months") and the desired timeframe for achieving it (e.g., "December 31, 2023"). The device sends this information to the server. The server stores the received goal and desired timeframe in a database. The input in this step is the goal setting information, and the output is the saved goal information.

[1054] Step 3:

[1055] When the server receives the user's goal and desired timeframe for achievement, it uses a generative AI model to calculate backwards and generate the necessary tasks and steps. Specifically, the AI ​​performs calculations based on the input goal information and generates specific tasks such as "do sit-ups 5 times a week, 20 times per set" or "eat a high-protein diet." These tasks are stored in a database by the server and displayed on the user's screen via their device. The input in this step is goal information, and the output is the generated task information.

[1056] Step 4:

[1057] After the user performs their daily tasks, they enter the details of their activities for that day (e.g., "Today I did 20 sit-ups x 3 sets") on the "Enter progress" screen. The device sends this progress information to the server. The server stores the received progress information in a database and updates the progress status. The input in this step is the progress information of the performed tasks, and the output is the updated progress status.

[1058] Step 5:

[1059] When a user performs a task, the emotion engine recognizes emotions from the user's voice and facial expressions. The recognized emotion information is sent to the server via the device and stored in a database. The input in this step is the user's emotion data, and the output is the stored emotion information.

[1060] Step 6:

[1061] The server dynamically changes the content of reminders and advice based on this emotional information. For example, if the user's emotional data indicates fatigue, the server automatically generates advice such as "We recommend that you do some light exercise and get plenty of rest today" and provides it to the user via their device. The input in this step is emotional information, and the output is customized advice.

[1062] Step 7:

[1063] The server periodically analyzes the progress status and emotional information, checks the progress of the goal, and generates feedback. Specifically, it analyzes the progress data and emotional data together, and when the set goal is achieved, it generates feedback such as "Congratulations! You've achieved your goal of getting six-pack!" and sends it to the user via the device. The input in this step is the progress information and emotional information, and the output is the generated feedback.

[1064] (Application example 2)

[1065] 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."

[1066] While conventional goal setting systems allow users to set goals and manage their progress, they are unable to provide appropriate support or advice tailored to individual emotional states, making it difficult for users to effectively achieve their goals. Furthermore, in factories and other workplaces, there is a lack of individual support to optimize the performance of robots and workers, resulting in the inability to maximize work efficiency.

[1067] The specific processing by the specific processing unit 290 of the data processing device 12 in Application Example 2 is realized by the following means. In this invention, the server includes: a means for a user to set a goal and input a desired timeframe for achieving the goal; a means for receiving the user's input goal and desired timeframe and generating tasks and steps for achieving the goal by back-calculating them based on a generation AI; a means for displaying the generated tasks and steps to the user; a means for the user to input daily task progress; a means for analyzing the user's input progress information and updating the goal achievement status; a means for providing reminders and advice as needed; and a means for detecting the user's emotional state using an emotion engine and dynamically adjusting the content of tasks and advice based on the user's emotional state. This allows users to create specific action plans toward their goals and receive personalized support tailored to their emotional state. Furthermore, in factories and other workplaces, the performance of robots and workers can be optimized, maximizing work efficiency.

[1068] "User" refers to an individual or worker who uses this system to set goals and strive to achieve them.

[1069] A "goal" is a specific result or progress that a user wishes to achieve.

[1070] "Desired achievement date" refers to a specific date by which the user wishes to achieve the goal they have set.

[1071] "Generative AI" refers to an artificial intelligence algorithm that automatically generates the necessary tasks and steps by working backwards from the goals set by the user.

[1072] A "task" is a specific task or activity that a user must perform to achieve a goal.

[1073] "Steps" refer to the specific stages or processes that a user must go through to achieve a goal.

[1074] An "emotion engine" is a system that recognizes the user's emotional state from their voice, facial expressions, etc., and responds appropriately based on that.

[1075] "Reminders" refer to notifications and messages that help users remember the goals and tasks they have set.

[1076] "Advice" refers to messages that offer advice or recommended actions users need to take to achieve their goals.

[1077] "Dynamic adjustment" refers to changing and updating the content of tasks and advice in real time in response to changes in the user's emotional state, etc.

[1078] This invention is a system that allows users to set goals, presents specific tasks and steps for achieving those goals, and manages progress. Furthermore, it uses an emotion engine to recognize the user's emotional state and provide personalized support. The specific configuration and processing of the system are described below.

[1079] System configuration

[1080] This system primarily utilizes the following hardware and software:

[1081] Hardware: The devices used by users (smartphones, smart glasses, head-mounted displays, factory robots, etc.)

[1082] software:

[1083] Generative AI models (algorithms that generate tasks and steps to achieve a goal)

[1084] Emotion recognition software (libraries for detecting a user's emotional state)

[1085] Cloud services (e.g., AWS, GCP for data processing and storage)

[1086] System Operation

[1087] Creating a user account

[1088] First, a user accesses the system and creates a new account. The user enters personal information such as name, email address, and password, and the device sends this information to the server. The server stores the received information in a database and creates the user's account.

[1089] Setting goals and desired timeframes for achievement

[1090] When a user logs in to their profile page and proceeds to the "Set a goal" screen, they enter their goal (e.g., "Increase the robot's operating time by 20% in one month") and the desired timeframe for achieving it (e.g., "December 31, 2023"). The device sends this information to the server, and the server saves the received goal and desired timeframe in the user's profile.

[1091] Creating Tasks and Steps

[1092] The server then processes the user's goals and desired timeframes based on the generative AI model and generates the necessary tasks and steps. Tasks might include, for example, "Perform quality checks five times a week" or "Perform regular machine maintenance." This information is stored in a database by the server and displayed on the user's screen.

[1093] Example prompt sentence:

[1094] The user has set a goal: "Increase the robot's uptime by 20% in one month." Please suggest specific tasks to achieve this goal.

[1095] Progress and emotional input

[1096] After a user completes a daily task, they enter the details of that day's activities (e.g., "I performed three quality checks today") on the "Enter progress" screen. The device sends this information to the server, which then analyzes the received progress information and updates the user's progress.

[1097] When using the emotion engine, the system recognizes the user's emotional state (e.g., "tired") from their voice and facial expressions, and sends that information to the server via the device. The recognized emotional information is then stored in a database.

[1098] Providing reminders and advice

[1099] The server dynamically changes the content of reminders and advice based on progress and emotional information. For example, if the server recognizes that the user is tired, it can provide advice such as "Do light work today and get plenty of rest." This allows users to receive appropriate support according to their emotional state.

[1100] Generate feedback

[1101] The progress and emotional information are periodically analyzed, and the server checks the user's progress toward their goal and generates feedback, such as "Congratulations! You've achieved your goal of increasing robot uptime by 20%!"

[1102] The system not only provides users with specific action plans and progress management to achieve their goals, but also provides personalized support based on their emotional state, providing them with powerful tools to achieve their goals more efficiently and effectively. It also optimizes the performance of robots and workers in factories, maximizing work efficiency.

[1103] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[1104] Step 1:

[1105] The device receives input from the user. The user enters their name, email address, and password to create an account. The device sends the input to the server, which stores it in a database.

[1106] Input: Name, email address, password

[1107] Data processing: Organize input information according to the format

[1108] Output: User account information registered in the database

[1109] Step 2:

[1110] The device receives goal setting information from the user. The user enters the goal (e.g., "Increase the robot's operating time by 20% in one month") and the desired time frame for achieving it (e.g., "December 31, 2023"). The device sends this information to the server, which stores it in a database.

[1111] Input: Goal, desired time to achieve

[1112] Data processing: Organize input information according to the format

[1113] Output: Target information registered in database

[1114] Step 3:

[1115] The server uses the generation AI to generate the tasks and steps required to achieve the goal. The server inputs the goal and desired timeframe into the generation AI, generates prompts, sends them to the AI ​​model, and then calculates and generates the necessary tasks. The generated tasks and steps are stored in a database and sent to the device.

[1116] Input: Goal, desired time to achieve

[1117] Data Transformation: Generating Tasks and Steps Using Generative AI Models

[1118] Output: Generated tasks, steps

[1119] Example prompt sentence:

[1120] The user has set a goal: "Increase the robot's uptime by 20% in one month." Please suggest specific tasks to achieve this goal.

[1121] Step 4:

[1122] The user performs daily tasks and inputs progress information into the device. For example, "I performed three quality checks today." The device receives this information and sends it to the server. The server stores this information in a database and analyzes the progress information.

[1123] Input: Daily progress information

[1124] Data processing: Analysis of progress information

[1125] Output: Updated progress

[1126] Step 5:

[1127] The emotion engine recognizes the user's emotional state from their voice and facial expressions. The recognized emotional information (e.g., "tired") is sent to the server via the device and stored in a database.

[1128] Input: User's emotional state

[1129] Data processing: Analyzing emotional states using emotion recognition software

[1130] Output: Recognized emotion information

[1131] Step 6:

[1132] The server dynamically changes the content of reminders and advice based on progress and emotion information. For example, if the server detects that the user is tired, it generates advice such as "Do light work today and get plenty of rest" and sends it to the device.

[1133] Input: progress information, emotion information

[1134] Data processing: Advice generation based on progress and emotion information

[1135] Output: Dynamically changed reminders and advice

[1136] Step 7:

[1137] The server analyzes the progress and emotional information, checks the user's progress toward achieving the goal, and generates feedback. If the user achieves the goal, it generates a congratulatory message and sends it to the device (e.g., "Congratulations! You've achieved your goal of increasing robot operating time by 20%!").

[1138] Input: progress information, emotion information

[1139] Data processing: Analysis of goal achievement status and feedback generation

[1140] Output: Feedback message

[1141] Through these steps, the system provides users with specific action plans and progress tracking to help them achieve their goals, as well as personalized support based on their emotional state.

[1142] 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.

[1143] 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.

[1144] 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.

[1145] [Fourth embodiment]

[1146] FIG. 7 shows an example of the configuration of a data processing system 410 according to the fourth embodiment.

[1147] 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.

[1148] 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).

[1149] 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.

[1150] 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.

[1151] 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).

[1152] 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.

[1153] 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.

[1154] 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.

[1155] 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.

[1156] 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.

[1157] 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.

[1158] 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."

[1159] The system of the present invention allows users to set life goals, presents tasks and specific steps necessary to achieve those goals, and manages progress. Specific embodiments for implementing this system are described below.

[1160] First, a user accesses the system and registers their profile, which includes personal information such as name, email address, and password. This information is sent via the terminal to the server, which then stores the received information in a database and creates a user account.

[1161] Next, the user goes to the "Set a goal" screen and inputs a specific goal (e.g., "Get abs in 3 months") and the desired timeframe for achieving it (e.g., "December 31, 2023"). The device sends this information to the server, which then stores the received goal and desired timeframe in the user's profile.

[1162] The server then processes the user's goals and desired timeframe using a generation AI, which then calculates backwards to generate the necessary tasks and steps. For example, it provides a specific training menu such as "do 20 sit-ups five times a week" or a diet plan such as "eat a high-protein diet."

[1163] The generated tasks and steps are displayed on the user's screen by the server, and the user follows them to carry out their daily activities. Task progress is sent from the device to the server when the user inputs the details of their activities for the day. For example, they might input, "Today I did 20 sit-ups x 3 sets."

[1164] The server analyzes the received progress information, updates the user on their progress toward their goal, and provides reminders and specific advice as needed, such as "We recommend you get plenty of rest today to promote muscle recovery."

[1165] Progress is analyzed periodically, and the server stores the user's goal achievement status in a database. It also checks whether the goal has been achieved, and if so, provides feedback to the user. For example, it might say, "Congratulations! You've achieved your goal of getting six abs!"

[1166] This system allows users to set more specific goals and obtain an action plan to achieve them. Furthermore, progress management and feedback make it easier to maintain motivation to achieve goals. This system is a powerful support tool for users to achieve their goals efficiently and effectively.

[1167] The processing flow will be explained below.

[1168] Step 1:

[1169] A user accesses the system and enters information (such as name, email address, and password) to create a new account.

[1170] Step 2:

[1171] The terminal transmits the input information to the server.

[1172] Step 3:

[1173] The server stores the received user information in a database and creates an account for the user.

[1174] Step 4:

[1175] A user logs in to their profile page and opens the "Set Goals" screen.

[1176] Step 5:

[1177] The device provides a form for entering goals and desired timeframes for achieving them.

[1178] Step 6:

[1179] The user inputs a specific goal and the desired time frame for achieving it, and presses the send button.

[1180] Step 7:

[1181] The terminal transmits the entered goal and desired time for achievement to the server.

[1182] Step 8:

[1183] The server receives the user's goal and desired time frame for achieving it, and sends a request to generate tasks and steps to achieve the goal using the generation AI.

[1184] Step 9:

[1185] The generative AI works backwards to generate the tasks and steps required to achieve the goal.

[1186] Step 10:

[1187] The server stores the task information received from the generated AI in a database and displays it on the user's screen.

[1188] Step 11:

[1189] The user performs daily tasks and enters the details of the day's activities on the "Enter progress" screen.

[1190] Step 12:

[1191] The device sends the user's progress information to the server.

[1192] Step 13:

[1193] The server analyzes the received progress information and updates the user's progress.

[1194] Step 14:

[1195] The server generates reminders and advice based on your progress.

[1196] Step 15:

[1197] The server generates reminders and advice and sends them to the user's device.

[1198] Step 16:

[1199] The device displays reminders and advice to the user.

[1200] Step 17:

[1201] Users can check reminders and advice to help plan their daily activities.

[1202] Step 18:

[1203] The server periodically checks the progress of the goal and generates feedback.

[1204] Step 19:

[1205] The server sends the feedback to the user.

[1206] Step 20:

[1207] Users receive feedback to inform next steps and areas for improvement.

[1208] Example 1

[1209] 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."

[1210] Conventional goal setting and achievement management systems lacked the functionality to automatically generate specific tasks and steps to achieve the goals set by the user. Furthermore, the generated tasks and steps were not updated appropriately according to the user's progress, making it difficult to manage progress toward goal achievement. Furthermore, the lack of appropriate reminders and advice for users made it difficult to maintain motivation to achieve their goals.

[1211] 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.

[1212] In this invention, the server includes: means for a user to set a goal and input a desired timeframe for achieving the goal; means for receiving the goal and desired timeframe input by the user and generating tasks and steps for achieving the goal by working backwards based on the generation AI; means for the user to input daily task progress; means for analyzing the progress information input by the user and updating the goal achievement status; means for providing reminders and advice as needed; and means for generating prompt sentences as input to the generation AI model and calling the generation AI model. This enables the user to receive a specific and individually customized goal achievement plan, making it easier to maintain motivation for goal achievement while receiving appropriate feedback and advice according to the progress status.

[1213] "User" refers to an individual or organization that uses this system to set goals and manage their progress.

[1214] A "goal" is a specific result or outcome that a user wants to achieve. An example would be something specific like "getting six-pack in three months."

[1215] The "desired time of achievement" is a deadline indicating when the user wants to achieve the goal they have set.

[1216] "Generative AI" refers to an artificial intelligence model that automatically generates tasks and steps to achieve a goal based on the user's goal and desired time frame for achieving it.

[1217] "Tasks or steps" are the specific actions or plans you must take to achieve your goal. Examples include a specific exercise routine or diet plan.

[1218] A "prompt" is an instruction that is input to a generative AI model to generate a goal achievement plan.

[1219] "Terminal" refers to the device a User uses to access this System and enter or retrieve information. Examples include computers and smartphones.

[1220] "Server" refers to the central processing unit that analyzes information received from users, stores it in a database, and then invokes generative AI models to generate tasks and steps.

[1221] The "database" is an information storage system for storing and managing user profiles, goals, desired timeframes for achievement, progress information, etc.

[1222] The system of this invention allows users to set life goals, presents the tasks and specific steps necessary to achieve those goals, and manages progress. Specifically, it is implemented in the following steps.

[1223] First, a user accesses the system and registers their profile. During this registration process, they enter personal information such as their name, email address, and password. The device then sends the information to the server, which then stores it in a database to create a user account.

[1224] Next, the user goes to the "Goal Setting" screen and enters a specific goal and the timeframe they want to achieve it. For example, they might set a goal of "getting six-pack in three months" and a timeframe of "December 31, 2023." The device sends this information to the server, which then stores it in the user's profile.

[1225] The server calls the generative AI model based on the received goal and desired timeframe. This generative AI model uses a commercially available artificial intelligence model (e.g., GPT-3). Specifically, the following prompt is input to the generative AI model:

[1226] "Please provide the following specific steps or tasks to help users achieve their goal of ripped abs in 3 months. Please include details such as specific exercises, repetitions, sets, rest days, and diet plan."

[1227] The generative AI model generates specific training menus and dietary management plans based on the prompts. For example, it generates a training menu such as "Do 20 sit-ups per set five times a week" or a dietary management plan such as "Eat a high-protein diet." The server stores the generated tasks and steps in a database.

[1228] The server sends the saved tasks and steps to the user's device, which then displays them to the user. The user then performs their daily activities according to the displayed tasks and steps. The user then inputs their progress from the device to the server. For example, the user might input, "Today I did 20 sit-ups x 3 sets."

[1229] The server analyzes the received progress information using an SQL database and updates the user's progress. It also provides reminders and specific advice based on the progress of the goal. For example, it sends advice such as, "We recommend you get plenty of rest today to promote muscle recovery."

[1230] In this way, users can use the system to receive specific, individually customized goal achievement plans, and can stay motivated to achieve their goals while receiving appropriate feedback and advice based on their progress.

[1231] The flow of the identification process in the first embodiment will be described with reference to FIG.

[1232] Step 1:

[1233] A user accesses the system and registers their profile. The user enters personal information such as name, email address, and password. The terminal sends the entered information (name, email address, password, etc.) to the server. The server analyzes the received information and saves the user account in a database. The input data is personal information, and the output data is the user record saved in the database.

[1234] Step 2:

[1235] The user proceeds to the "Goal Setting" screen and inputs a specific goal and the desired time frame for achieving it. For example, the user inputs a goal of "getting six-pack in three months" and a desired time frame for achieving it of "December 31, 2023." The device sends this information (goal, desired time frame) to the server. The server then saves the received goal and desired time frame in the user profile. The input data is the goal and desired time frame, and the output data is the goal information saved in the database.

[1236] Step 3:

[1237] The server calls a generative AI model based on the received goal and desired timeframe. This generative AI model uses a commercially available artificial intelligence model (e.g., GPT-3). The server sends a prompt to the generative AI model: "Please provide the specific steps and tasks below to help the user achieve their goal of getting six-pack in three months. Please provide details such as the specific exercise menu, number of repetitions, number of sets, rest days, and diet plan." The generative AI model generates a specific training menu and diet plan based on the prompt. The input data is the prompt, and the output data is the specific tasks and steps generated.

[1238] Step 4:

[1239] The server stores the generated tasks and steps in a database and sends them to the terminal for display to the user. The terminal displays the received tasks and steps to the user in an intuitive interface. The input data are the generated tasks and steps, and the output data are the tasks and steps displayed to the user.

[1240] Step 5:

[1241] The user inputs the progress of their daily activities and tasks. For example, they might input, "Today I did 3 sets of 20 sit-ups." The device sends this information to the server. The server stores the received progress information in a database. The input data is the progress information, and the output data is the progress record stored in the database.

[1242] Step 6:

[1243] The server analyzes the received progress information and updates the user's goal achievement status. For example, it calculates the goal achievement rate based on the progress data and provides the user with necessary reminders and specific advice. For example, it generates advice such as "We recommend you take sufficient rest today to promote muscle recovery" and sends it to the device. The input data is the progress information, and the output data is the updated goal achievement status and the generated advice.

[1244] Step 7:

[1245] The server periodically analyzes the progress information and updates the database with the user's progress toward their goal. It also checks whether the goal has been achieved and, if so, sends a congratulatory message to the user. For example, it provides feedback such as "Congratulations! You've achieved your goal of getting six-pack!" The input data is the analyzed progress, and the output data is the updated progress and feedback message.

[1246] (Application example 1)

[1247] 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."

[1248] Conventional goal management systems lacked a mechanism for automatically generating specific tasks and steps for achieving the goals set by users. They also had limited means for efficiently managing users' progress and providing timely reminders and advice. This resulted in insufficient support for users to effectively achieve their goals. Furthermore, physical fitness centers and other physical fitness centers lacked a system for providing feedback based on users' progress, resulting in weak collaboration between the stores and users.

[1249] 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.

[1250] In this invention, the server includes means for a user to set a goal and input a desired timeframe for achieving the goal, means for receiving the goal and desired timeframe input by the user and generating tasks and steps for achieving the goal by calculating backwards based on a generation AI, means for the user to input the progress of daily tasks, means for analyzing the progress information input by the user and updating the goal achievement status, means for providing reminders and advice as needed, and means for providing progress management and feedback related to physical stores to the user. This allows the user to obtain a specific action plan for efficiently and effectively achieving the goal and also allows the user to receive further feedback through collaboration with physical stores.

[1251] "User" refers to an individual who uses this system to set goals and strive to achieve them.

[1252] "Goal" refers to the specific purpose or desired state that a user sets to achieve.

[1253] The "desired achievement date" refers to the specific date or period during which the user would like to achieve the goal they have set.

[1254] "Server" refers to a computer system that processes information received from users, stores it in a database, and generates and manages tasks and steps using generative AI, etc.

[1255] "Generative AI" refers to an artificial intelligence model that reverse-engines the tasks and steps required to achieve a goal set by the user.

[1256] A "task" is a specific action that a user must take to achieve a goal.

[1257] A "step" refers to a series of tasks or stages in a process that lead to achieving a goal.

[1258] "Progress information" refers to data recorded by users on the status of their daily task execution.

[1259] "Analysis" refers to the evaluation and analysis of the goal achievement status and user progress based on the progress information received by the server from the user.

[1260] A "reminder" is a notification or message that prompts a user to take necessary action to achieve a goal.

[1261] "Advice" refers to information that provides users with specific suggestions or instructions to help them achieve their goals.

[1262] "Physical store" refers to a physical establishment where users can actually visit and use the services.

[1263] "Progress management" refers to continually monitoring a user's progress toward achieving their goals and providing remedial measures or follow-up guidance as needed.

[1264] "Feedback" refers to evaluations and advice provided to users based on the results and progress they make toward their goals.

[1265] System Overview

[1266] A system for implementing this invention includes means for a user to set a goal and input a desired time for achieving the goal, means for generating tasks and steps for achieving the goal by calculating backwards based on a generation AI, means for displaying the generated tasks and steps to the user, means for inputting daily task progress, means for analyzing progress information and updating the goal achievement status, means for providing reminders and advice, and means for providing progress management and feedback related to a physical store.

[1267] Program Overview

[1268] 1. Profile registration and goal setting

[1269] The server receives input information from the user (name, email address, password, goal, desired time frame for achievement) and stores it in AWS RDS (relational database).

[1270] 2. Task generation using generative AI

[1271] The server inputs the user's set goals and desired timeframe into a generative AI model (OpenAI GPT-4), which then calculates backward to generate the necessary tasks and steps. The generated tasks are then displayed to the user.

[1272] 3. Progress management and analysis

[1273] Users enter their daily task progress, which is then sent from their device to a server and stored in a database. The server analyzes the progress data, updates the progress status, and provides reminders and advice as needed.

[1274] 4. Progress management and feedback at physical stores

[1275] Users' progress information is also linked to physical stores, where it can be viewed by store staff, who can provide feedback and specific guidance to users.

[1276] Hardware and Software Specifications

[1277] Server: AWS EC2

[1278] Database: AWS RDS (PostgreSQL)

[1279] Generative AI model: OpenAI GPT-4

[1280] Frontend: React Native (smartphone app)

[1281] Backend: Node.js (Express)

[1282] Specific examples of processing

[1283] 1. Profile registration and goal setting

[1284] A user launches the application and registers a profile by entering their name, email address, and password. They also enter their goal (e.g., "Get six-pack in three months") and the date they want to achieve it (e.g., "December 31, 2023").

[1285] 2. Task generation using generative AI

[1286] The server passes the received goal and desired timeframe to the generative AI model, using the following prompt:

[1287] Generate training and meal plans based on your goals:

[1288] Goal: Get six-pack in 3 months

[1289] Desired completion date: December 31, 2023

[1290] The generative AI provides five abdominal exercises and a high-protein meal plan per week and displays them to the user.

[1291] 3. Progress management and analysis

[1292] Users input their daily progress (e.g., "Today I did 3 sets of 20 sit-ups"), and the server stores this information in a database, analyzes the progress, and updates it.

[1293] 4. Progress management and feedback at physical stores

[1294] Staff at the physical store will monitor the user's progress and provide appropriate guidance and feedback, for example, adjusting the next training menu based on the user's physical condition.

[1295] This gives users a concrete action plan to achieve their goals efficiently and effectively, and allows for further feedback through collaboration with physical stores.

[1296] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[1297] Step 1:

[1298] A user launches the application and enters their profile information (name, email address, password). This data is sent from the device to the server, which then stores the received data in AWS RDS and creates a user account.

[1299] Input: Name, Email Address, Password

[1300] Output: User account created

[1301] Step 2:

[1302] The user enters their goal and the desired timeframe for achieving it. This data is also sent from the device to the server, and the server stores it in AWS RDS.

[1303] Input: Goal, desired time to achieve

[1304] Output: Save target data

[1305] Step 3:

[1306] The server inputs the user's set goal and desired timeframe into the generative AI model (OpenAI GPT-4). The specific prompt is as follows:

[1307] Generate training and meal plans based on your goals:

[1308] Goal: Get six-pack in 3 months

[1309] Desired completion date: December 31, 2023

[1310] The generation AI generates the necessary tasks and steps, which the server displays to the user.

[1311] Input: Goal, desired time to achieve

[1312] Output: The tasks and steps generated

[1313] Step 4:

[1314] Users enter their daily task progress into the application. This data is sent from the device to the server and stored in AWS RDS. The server analyzes the progress information and updates the goal achievement status.

[1315] Input: Daily task progress information

[1316] Output: Save progress data and analysis results

[1317] Step 5:

[1318] The server then provides reminders and advice to the user based on the progress analysis results, such as "We recommend you get plenty of rest today to promote muscle recovery."

[1319] Input: Progress analysis results

[1320] Output: Reminders and advice

[1321] Step 6:

[1322] Staff at the physical store can check the user's progress through the app and provide feedback and specific guidance based on the user's progress, such as adjusting the next training menu based on their physical condition.

[1323] Input: User progress information

[1324] Output: Feedback and specific instruction

[1325] In this way, a system is realized in which users, terminals, servers, and physical stores work together at each step to provide specific action plans and ongoing support for achieving goals.

[1326] 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.

[1327] The system of this invention allows users to set life goals, presents the tasks and specific steps necessary to achieve those goals, and manages progress. In addition, by combining it with an emotion engine that recognizes the user's emotions, it provides more personalized support. Specific embodiments for implementing this system are described below.

[1328] First, a user accesses the system and enters personal information such as name, email address, and password to create a new account. The device sends this information to the server, which then stores it in a database and creates the user's account.

[1329] Next, the user logs in to the profile page, proceeds to the "Set a goal" screen, and enters the goal (e.g., "Get abs in 3 months") and the desired timeframe for achieving it (e.g., "December 31, 2023"). The device sends this information to the server, and the server saves the received goal and desired timeframe in the user's profile.

[1330] The server then processes the user's goal and desired timeframe using the AI ​​to calculate backwards the necessary tasks and steps. Tasks include, for example, "do 20 sit-ups five times a week" or "eat a high-protein diet." This information is stored in a database by the server and displayed on the user's screen.

[1331] Furthermore, after the user completes their daily tasks, they enter the details of their activities for that day (e.g., "Today I did 20 sit-ups x 3 sets") on the "Enter progress" screen. The device sends this to the server, which analyzes the received progress information and updates the user's progress.

[1332] In particular, when using an emotion engine, a means of recognizing the user's emotions is added. For example, when a user performs a task, the emotion engine recognizes the user's emotions from their voice and facial expressions. The recognized emotion information is sent to a server via the terminal and stored in a database.

[1333] The server dynamically changes the content of reminders and advice based on this emotional information. For example, if the server recognizes that the user is tired, it can provide advice such as, "We recommend that you do some light exercise and get plenty of rest today." This allows users to receive appropriate support according to their emotional state.

[1334] The progress and emotional information are periodically analyzed, and the server checks the user's progress toward their goal and generates feedback, such as "Congratulations! You've achieved your goal of getting six-pack!"

[1335] This system not only provides users with specific action plans and progress management to achieve their goals, but also provides personalized support based on their emotional state, providing users with a powerful tool to achieve their goals more efficiently and effectively.

[1336] The processing flow will be explained below.

[1337] Step 1:

[1338] A user accesses the system and enters information (such as name, email address, and password) to create a new account.

[1339] Step 2:

[1340] The terminal transmits the input information to the server.

[1341] Step 3:

[1342] The server stores the received user information in a database and creates an account for the user.

[1343] Step 4:

[1344] A user logs in to their profile page and opens the "Set Goals" screen.

[1345] Step 5:

[1346] The device provides a form for entering goals and desired timeframes for achieving them.

[1347] Step 6:

[1348] The user inputs a specific goal and the desired time frame for achieving it, and presses the send button.

[1349] Step 7:

[1350] The terminal transmits the entered goal and desired time for achievement to the server.

[1351] Step 8:

[1352] The server stores the received goal and desired time frame for achievement in the user's profile.

[1353] Step 9:

[1354] The server sends a request to the generation AI based on the user's goal and desired time frame for achievement, and generates the necessary tasks and steps by working backwards.

[1355] Step 10:

[1356] The generative AI works backwards to generate the tasks and steps required to achieve the goal.

[1357] Step 11:

[1358] The server stores the task information received from the generated AI in a database and displays it on the user's screen.

[1359] Step 12:

[1360] The user performs daily tasks and enters the details of the day's activities on the "Enter progress" screen.

[1361] Step 13:

[1362] The device sends the user's progress information to the server.

[1363] Step 14:

[1364] The server analyzes the received progress information and updates the user's progress.

[1365] Step 15:

[1366] As the user performs a task, the emotion engine analyzes the user's voice and facial expressions to recognize their emotions.

[1367] Step 16:

[1368] The device transmits the recognized emotion information to the server.

[1369] Step 17:

[1370] The server stores the emotional information in a database and adjusts the content of advice and reminders.

[1371] Step 18:

[1372] The server generates reminders and advice as needed and sends them to the user's device.

[1373] Step 19:

[1374] The device displays reminders and advice to the user.

[1375] Step 20:

[1376] Users can check reminders and advice to help plan their daily activities.

[1377] Step 21:

[1378] The server periodically checks the progress of the goal and generates feedback.

[1379] Step 22:

[1380] The server sends feedback to the user.

[1381] Step 23:

[1382] Users receive feedback to inform next steps and areas for improvement.

[1383] Example 2

[1384] 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."

[1385] Conventional goal achievement support systems provide information on the goals set by the user and progress management, but lack individual support based on the user's emotional state. This makes it difficult to maintain user motivation and provide appropriate feedback, resulting in issues such as reduced goal achievement efficiency. Furthermore, because dynamic support linking progress information and emotional information is not provided, users are unable to receive sufficient emotional support while completing daily tasks.

[1386] 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.

[1387] In this invention, the server includes a means for a user to set a goal and input a desired timeframe for achieving that goal, a means including an emotion engine that recognizes the user's emotions and provides appropriate reminders and advice, and a means for receiving the goal and desired timeframe input by the user and generating tasks and steps for achieving the goal by working backwards based on the generation AI. This allows the user to receive not only a specific action plan and progress management for achieving the goal, but also personalized support according to their emotional state.

[1388] A "goal" is a specific outcome or state that a user wants to achieve.

[1389] "Desired achievement date" indicates the specific deadline by which the user would like to achieve the goal they have set.

[1390] "Generative AI" refers to an artificial intelligence system that automatically generates plans and steps for achieving goals based on the goals and desired timeframe entered by the user.

[1391] A "task" refers to a specific action or activity required to achieve a user's set goal.

[1392] A "step" refers to a specific process or task that needs to be carried out step by step to achieve a goal.

[1393] "Progress" refers to the status and degree of achievement of tasks performed toward goals set by the user.

[1394] "Progress Information" refers to data that records the actions and achievements of users when performing daily tasks.

[1395] "Analysis" refers to the process by which the server interprets and evaluates data based on progress and emotional information obtained from the user.

[1396] An "emotion engine" refers to technology that identifies a user's emotional state from their voice, facial expressions, etc., and provides appropriate feedback and advice.

[1397] "Reminders" refers to a feature that notifies users of their progress toward set tasks and goals.

[1398] "Advice" refers to suggestions or instructions provided to the user based on their progress or emotional state.

[1399] "Database" refers to an information management system for systematically storing and managing a user's goals, desired timeframe for achievement, progress information, emotional information, etc.

[1400] "Feedback" refers to the server's ability to evaluate the user's progress and emotional state and provide support and notifications to help them achieve their goals.

[1401] This system allows users to set life goals, presents tasks and specific steps necessary to achieve those goals, and manages progress. Furthermore, by combining it with an emotion engine that recognizes the user's emotions, it is possible to provide more personalized support. Specific embodiments for implementing this system will be described.

[1402] First, a user accesses the system and enters personal information such as name, email address, and password to create a new account. The device sends this information to the server, which then stores it in a database and creates the user's account.

[1403] Next, the user logs in to the profile page, proceeds to the "Set a goal" screen, and enters the goal (e.g., "Get abs in 3 months") and the desired timeframe for achieving it (e.g., "December 31, 2023"). The device sends this information to the server, and the server saves the received goal and desired timeframe in the user's profile.

[1404] The server processes the user's goals and desired timeframe using AI generation, then calculates backward to generate the necessary tasks and steps. Tasks include, for example, "do 20 sit-ups five times a week" or "eat a high-protein diet." This information is stored in a database by the server and displayed on the user's screen.

[1405] Furthermore, after the user completes their daily tasks, they enter the details of their activities for that day (e.g., "Today I did 20 sit-ups x 3 sets") on the "Enter progress" screen. The device sends this to the server, which analyzes the received progress information and updates the user's progress.

[1406] In particular, when using an emotion engine, a means of recognizing the user's emotions is added. For example, when a user performs a task, the emotion engine recognizes the user's emotions from their voice and facial expressions. The recognized emotion information is sent to a server via the terminal and stored in a database.

[1407] The server dynamically changes the content of reminders and advice based on this emotional information. For example, if the server recognizes that the user is tired, it can provide advice such as, "We recommend that you do some light exercise and get plenty of rest today." This allows users to receive appropriate support according to their emotional state.

[1408] The progress and emotional information are periodically analyzed, and the server checks the user's progress toward their goal and generates feedback, such as "Congratulations! You've achieved your goal of getting six-pack!"

[1409] Specific examples

[1410] Prompt Sentence Example 1:

[1411] If your goal is to get six abs in three months, here's an example of a prompt you can input to your generative AI model:

[1412] Goal: Get six-pack in 3 months

[1413] Desired achievement date: December 31, 2023

[1414] Progress Tracker: 5 sit-ups per week, 20 repetitions per set

[1415] Support needed: High-protein diet, light exercise suggestions

[1416] Prompt Sentence Example 2:

[1417] If you set a different goal, "Learn English conversation in six months," you might use the following prompt:

[1418] Goal: Master English conversation in six months

[1419] Desired date of achievement: June 30, 2024

[1420] Progress management: 1 hour of English conversation practice every day

[1421] Support needed: Weekly mock conversation sessions and progress reviews

[1422] By inputting such specific prompts into the generative AI model, effective tasks and steps can be generated to help users achieve their goals.

[1423] The flow of the identification process in the second embodiment will be described with reference to FIG.

[1424] Step 1:

[1425] First, a user accesses the system and enters personal information such as name, email address, and password to create a new account. The device sends this information to the server, which stores the received information in a database and creates an account for the user. The input in this step is the user's personal information, and the output is the created user account.

[1426] Step 2:

[1427] Next, the user logs in to the profile page and proceeds to the "Set a goal" screen. The user enters a specific goal (e.g., "Get abs in 3 months") and the desired timeframe for achieving it (e.g., "December 31, 2023"). The device sends this information to the server. The server stores the received goal and desired timeframe in a database. The input in this step is the goal setting information, and the output is the saved goal information.

[1428] Step 3:

[1429] When the server receives the user's goal and desired timeframe for achievement, it uses a generative AI model to calculate backwards and generate the necessary tasks and steps. Specifically, the AI ​​performs calculations based on the input goal information and generates specific tasks such as "do sit-ups 5 times a week, 20 times per set" or "eat a high-protein diet." These tasks are stored in a database by the server and displayed on the user's screen via their device. The input in this step is goal information, and the output is the generated task information.

[1430] Step 4:

[1431] After the user performs their daily tasks, they enter the details of their activities for that day (e.g., "Today I did 20 sit-ups x 3 sets") on the "Enter progress" screen. The device sends this progress information to the server. The server stores the received progress information in a database and updates the progress status. The input in this step is the progress information of the performed tasks, and the output is the updated progress status.

[1432] Step 5:

[1433] When a user performs a task, the emotion engine recognizes emotions from the user's voice and facial expressions. The recognized emotion information is sent to the server via the device and stored in a database. The input in this step is the user's emotion data, and the output is the stored emotion information.

[1434] Step 6:

[1435] The server dynamically changes the content of reminders and advice based on this emotional information. For example, if the user's emotional data indicates fatigue, the server automatically generates advice such as "We recommend that you do some light exercise and get plenty of rest today" and provides it to the user via their device. The input in this step is emotional information, and the output is customized advice.

[1436] Step 7:

[1437] The server periodically analyzes the progress status and emotional information, checks the progress of the goal, and generates feedback. Specifically, it analyzes the progress data and emotional data together, and when the set goal is achieved, it generates feedback such as "Congratulations! You've achieved your goal of getting six-pack!" and sends it to the user via the device. The input in this step is the progress information and emotional information, and the output is the generated feedback.

[1438] (Application example 2)

[1439] 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."

[1440] While conventional goal setting systems allow users to set goals and manage their progress, they are unable to provide appropriate support or advice tailored to individual emotional states, making it difficult for users to effectively achieve their goals. Furthermore, in factories and other workplaces, there is a lack of individual support to optimize the performance of robots and workers, resulting in the inability to maximize work efficiency.

[1441] The specific processing by the specific processing unit 290 of the data processing device 12 in Application Example 2 is realized by the following means. In this invention, the server includes: a means for a user to set a goal and input a desired timeframe for achieving the goal; a means for receiving the user's input goal and desired timeframe and generating tasks and steps for achieving the goal by back-calculating them based on a generation AI; a means for displaying the generated tasks and steps to the user; a means for the user to input daily task progress; a means for analyzing the user's input progress information and updating the goal achievement status; a means for providing reminders and advice as needed; and a means for detecting the user's emotional state using an emotion engine and dynamically adjusting the content of tasks and advice based on the user's emotional state. This allows users to create specific action plans toward their goals and receive personalized support tailored to their emotional state. Furthermore, in factories and other workplaces, the performance of robots and workers can be optimized, maximizing work efficiency.

[1442] "User" refers to an individual or worker who uses this system to set goals and strive to achieve them.

[1443] A "goal" is a specific result or progress that a user wishes to achieve.

[1444] "Desired achievement date" refers to a specific date by which the user wishes to achieve the goal they have set.

[1445] "Generative AI" refers to an artificial intelligence algorithm that automatically generates the necessary tasks and steps by working backwards from the goals set by the user.

[1446] A "task" is a specific task or activity that a user must perform to achieve a goal.

[1447] "Steps" refer to the specific stages or processes that a user must go through to achieve a goal.

[1448] An "emotion engine" is a system that recognizes the user's emotional state from their voice, facial expressions, etc., and responds appropriately based on that.

[1449] "Reminders" refer to notifications and messages that help users remember the goals and tasks they have set.

[1450] "Advice" refers to messages that offer advice or recommended actions users need to take to achieve their goals.

[1451] "Dynamic adjustment" refers to changing and updating the content of tasks and advice in real time in response to changes in the user's emotional state, etc.

[1452] This invention is a system that allows users to set goals, presents specific tasks and steps for achieving those goals, and manages progress. Furthermore, it uses an emotion engine to recognize the user's emotional state and provide personalized support. The specific configuration and processing of the system are described below.

[1453] System configuration

[1454] This system primarily utilizes the following hardware and software:

[1455] Hardware: The devices used by users (smartphones, smart glasses, head-mounted displays, factory robots, etc.)

[1456] software:

[1457] Generative AI models (algorithms that generate tasks and steps to achieve a goal)

[1458] Emotion recognition software (libraries for detecting a user's emotional state)

[1459] Cloud services (e.g., AWS, GCP for data processing and storage)

[1460] System Operation

[1461] Creating a user account

[1462] First, a user accesses the system and creates a new account. The user enters personal information such as name, email address, and password, and the device sends this information to the server. The server stores the received information in a database and creates the user's account.

[1463] Setting goals and desired timeframes for achievement

[1464] When a user logs in to their profile page and proceeds to the "Set a goal" screen, they enter their goal (e.g., "Increase the robot's operating time by 20% in one month") and the desired timeframe for achieving it (e.g., "December 31, 2023"). The device sends this information to the server, and the server saves the received goal and desired timeframe in the user's profile.

[1465] Creating Tasks and Steps

[1466] The server then processes the user's goals and desired timeframes based on the generative AI model and generates the necessary tasks and steps. Tasks might include, for example, "Perform quality checks five times a week" or "Perform regular machine maintenance." This information is stored in a database by the server and displayed on the user's screen.

[1467] Example prompt sentence:

[1468] The user has set a goal: "Increase the robot's uptime by 20% in one month." Please suggest specific tasks to achieve this goal.

[1469] Progress and emotional input

[1470] After a user completes a daily task, they enter the details of that day's activities (e.g., "I performed three quality checks today") on the "Enter progress" screen. The device sends this information to the server, which then analyzes the received progress information and updates the user's progress.

[1471] When using the emotion engine, the system recognizes the user's emotional state (e.g., "tired") from their voice and facial expressions, and sends that information to the server via the device. The recognized emotional information is then stored in a database.

[1472] Providing reminders and advice

[1473] The server dynamically changes the content of reminders and advice based on progress and emotional information. For example, if the server recognizes that the user is tired, it can provide advice such as "Do light work today and get plenty of rest." This allows users to receive appropriate support according to their emotional state.

[1474] Generate feedback

[1475] The progress and emotional information are periodically analyzed, and the server checks the user's progress toward their goal and generates feedback, such as "Congratulations! You've achieved your goal of increasing robot uptime by 20%!"

[1476] The system not only provides users with specific action plans and progress management to achieve their goals, but also provides personalized support based on their emotional state, providing them with powerful tools to achieve their goals more efficiently and effectively. It also optimizes the performance of robots and workers in factories, maximizing work efficiency.

[1477] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[1478] Step 1:

[1479] The device receives input from the user. The user enters their name, email address, and password to create an account. The device sends the input to the server, which stores it in a database.

[1480] Input: Name, email address, password

[1481] Data processing: Organize input information according to the format

[1482] Output: User account information registered in the database

[1483] Step 2:

[1484] The device receives goal setting information from the user. The user enters the goal (e.g., "Increase the robot's operating time by 20% in one month") and the desired time frame for achieving it (e.g., "December 31, 2023"). The device sends this information to the server, which stores it in a database.

[1485] Input: Goal, desired time to achieve

[1486] Data processing: Organize input information according to the format

[1487] Output: Target information registered in database

[1488] Step 3:

[1489] The server uses the generation AI to generate the tasks and steps required to achieve the goal. The server inputs the goal and desired timeframe into the generation AI, generates prompts, sends them to the AI ​​model, and then calculates and generates the necessary tasks. The generated tasks and steps are stored in a database and sent to the device.

[1490] Input: Goal, desired time to achieve

[1491] Data Transformation: Generating Tasks and Steps Using Generative AI Models

[1492] Output: Generated tasks, steps

[1493] Example prompt sentence:

[1494] The user has set a goal: "Increase the robot's uptime by 20% in one month." Please suggest specific tasks to achieve this goal.

[1495] Step 4:

[1496] The user performs daily tasks and inputs progress information into the device. For example, "I performed three quality checks today." The device receives this information and sends it to the server. The server stores this information in a database and analyzes the progress information.

[1497] Input: Daily progress information

[1498] Data processing: Analysis of progress information

[1499] Output: Updated progress

[1500] Step 5:

[1501] The emotion engine recognizes the user's emotional state from their voice and facial expressions. The recognized emotional information (e.g., "tired") is sent to the server via the device and stored in a database.

[1502] Input: User's emotional state

[1503] Data processing: Analyzing emotional states using emotion recognition software

[1504] Output: Recognized emotion information

[1505] Step 6:

[1506] The server dynamically changes the content of reminders and advice based on progress and emotion information. For example, if the server detects that the user is tired, it generates advice such as "Do light work today and get plenty of rest" and sends it to the device.

[1507] Input: progress information, emotion information

[1508] Data processing: Advice generation based on progress and emotion information

[1509] Output: Dynamically changed reminders and advice

[1510] Step 7:

[1511] The server analyzes the progress and emotional information, checks the user's progress toward achieving the goal, and generates feedback. If the user achieves the goal, it generates a congratulatory message and sends it to the device (e.g., "Congratulations! You've achieved your goal of increasing robot operating time by 20%!").

[1512] Input: progress information, emotion information

[1513] Data processing: Analysis of goal achievement status and feedback generation

[1514] Output: Feedback message

[1515] Through these steps, the system provides users with specific action plans and progress tracking to help them achieve their goals, as well as personalized support based on their emotional state.

[1516] 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.

[1517] 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.

[1518] 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.

[1519] 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.

[1520] 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.

[1521] 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.

[1522] 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).

[1523] 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.

[1524] 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."

[1525] 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.

[1526] 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).

[1527] 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.

[1528] 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.

[1529] 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.

[1530] 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.

[1531] 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.

[1532] 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.

[1533] 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.

[1534] 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.

[1535] 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.

[1536] 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.

[1537] The following is further disclosed regarding the above embodiment.

[1538] (Claim 1)

[1539] a means for the user to set goals and input a desired timeframe for achieving those goals;

[1540] A method for receiving the goal and desired timeframe entered by the user and generating tasks and steps to achieve the goal by calculating backwards based on the generation AI;

[1541] A means to display the generated tasks and steps to the user;

[1542] A way for users to input their daily task progress;

[1543] A means for analyzing the progress information entered by the user and updating the goal achievement status;

[1544] a means of providing reminders and advice when needed;

[1545] A system including:

[1546] (Claim 2)

[1547] 2. The system of claim 1, further comprising means for storing the goals set by the user and the desired timeframe for achieving them in a database.

[1548] (Claim 3)

[1549] 10. The system of claim 1, further comprising means for providing goal achievement confirmation and feedback based on the user's progress.

[1550] "Example 1"

[1551] (Claim 1)

[1552] a means for the user to set goals and input a desired timeframe for achieving those goals;

[1553] A method for receiving the goal and desired timeframe entered by the user and generating tasks and steps to achieve the goal by calculating backwards based on the generation AI;

[1554] A means to display the generated tasks and steps to the user;

[1555] A way for users to input their daily task progress;

[1556] A means for analyzing the progress information entered by the user and updating the goal achievement status;

[1557] a means of providing reminders and advice when needed;

[1558] a means for generating a prompt sentence as an input to the generative AI model and invoking the generative AI model;

[1559] A system including:

[1560] (Claim 2)

[1561] 2. The system of claim 1, further comprising means for storing the goals set by the user and the desired timeframe for achieving them in a database.

[1562] (Claim 3)

[1563] 10. The system of claim 1, further comprising means for providing goal achievement confirmation and feedback based on the user's progress.

[1564] "Application Example 1"

[1565] (Claim 1)

[1566] a means for the user to set goals and input a desired timeframe for achieving those goals;

[1567] A method for receiving the goal and desired timeframe entered by the user and generating tasks and steps to achieve the goal by calculating backwards based on the generation AI;

[1568] A means to display the generated tasks and steps to the user;

[1569] A way for users to input their daily task progress;

[1570] A means for analyzing the progress information entered by the user and updating the goal achievement status;

[1571] a means of providing reminders and advice when needed;

[1572] a means of providing users with tracking and feedback related to the physical store;

[1573] A system including:

[1574] (Claim 2)

[1575] 2. The system of claim 1, further comprising means for storing the goals set by the user and the desired timeframe for achieving them in a database.

[1576] (Claim 3)

[1577] 10. The system of claim 1, further comprising means for providing goal achievement confirmation and feedback based on the user's progress.

[1578] "Example 2: Combining Emotion Engines"

[1579] (Claim 1)

[1580] a means for the user to set goals and input a desired timeframe for achieving those goals;

[1581] A method for receiving the goal and desired timeframe entered by the user and generating tasks and steps to achieve the goal by calculating backwards based on the generation AI;

[1582] A means to display the generated tasks and steps to the user;

[1583] A way for users to input their daily task progress;

[1584] A means for analyzing the progress information entered by the user and updating the goal achievement status;

[1585] a means including an emotion engine for recognizing the user's emotions and providing appropriate reminders and advice;

[1586] A system including:

[1587] (Claim 2)

[1588] 2. The system according to claim 1, further comprising means for storing the goals set by the user, the desired time period for achieving the goals, and emotional information in a database.

[1589] (Claim 3)

[1590] 10. The system of claim 1, further comprising means for providing goal achievement confirmation and feedback based on the user's progress and emotional information.

[1591] "Application example 2 when combining emotion engines"

[1592] (Claim 1)

[1593] a means for the user to set goals and input a desired timeframe for achieving those goals;

[1594] A method for receiving the goal and desired timeframe entered by the user and generating tasks and steps to achieve the goal by calculating backwards based on the generation AI;

[1595] A means to display the generated tasks and steps to the user;

[1596] A way for users to input their daily task progress;

[1597] A means for analyzing the progress information entered by the user and updating the goal achievement status;

[1598] a means of providing reminders and advice when needed;

[1599] a means for detecting a user's emotional state using an emotion engine and dynamically adjusting the content of tasks and advice based on the emotional state;

[1600] A system including:

[1601] (Claim 2)

[1602] 2. The system of claim 1, further comprising means for storing the goals set by the user and the desired timeframe for achieving them in a database.

[1603] (Claim 3)

[1604] 10. The system of claim 1, further comprising means for providing goal achievement confirmation and feedback based on the user's progress and emotional state. [Explanation of symbols]

[1605] 10, 210, 310, 410 Data Processing Systems 12 Data Processing Device 14 Smart Devices 214 Smart Glasses 314 Headset-type terminal 414 Robot< / url:> < / url:> < / url:> < / url:>

Claims

1. a means for the user to set goals and input a desired timeframe for achieving those goals; A method for receiving the goal and desired timeframe entered by the user and generating tasks and steps to achieve the goal by calculating backwards based on the generation AI; A means to display the generated tasks and steps to the user; A way for users to input their daily task progress; A means for analyzing the progress information entered by the user and updating the goal achievement status; a means of providing reminders and advice when needed; A system including:

2. 2. The system of claim 1, further comprising means for storing the user-set goals and desired timeframes for achieving them in a database.

3. 10. The system of claim 1, further comprising means for providing goal achievement confirmation and feedback based on the user's progress.

Images