System

Abstract

A system is provided.SOLUTION: A system comprising: means for a user with a dream to input his / her profile and dream details; means for generating a reverse calculation step for realizing the user's dream; means for matching the user with an expert required for realizing the dream; and means for managing and feeding back the user's progress.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] Today's children are surrounded by a wealth of information and options, but lack the means to clearly define how to achieve their dreams. Parents and educational institutions also have limited specific guidance methods and resources to support children in realizing their dreams. As a result, children's dreams often remain just dreams, and there is a problem in that they are not provided with concrete steps or support from experts to achieve their goals. [Means for solving the problem]

[0005] To solve this problem, we provide a system that includes a means for users with dreams to input their profile and details of their dreams, a means for generating reverse steps to realize their dreams based on the input details of their dreams, a means for matching users with the necessary experts, and a means for managing and providing feedback on the user's progress.The system uses expert knowledge and past data to suggest specific learning methods and skills necessary to realize the user's dream.It also provides messaging and online meeting functions with experts, allowing users to manage their progress while receiving actual support.This provides comprehensive support for children to turn their dreams into real goals and achieve them.

[0006] "User" refers to an individual who uses this system to enter their profile and dreams and receive support.

[0007] A "profile" is data entered by a user, including name, age, and other personal information.

[0008] "Dreams" refer to goals and hopes that users want to achieve in the future, specific occupations, etc.

[0009] "Backward calculation steps" are specific action plans that show the path from the present to the goal in stages in order to realize the user's dream.

[0010] An "expert" is a professional who has knowledge and experience in a field related to the user's dream and can provide advice and guidance to the user.

[0011] "Matching" is the process of searching for suitable experts based on the user's dreams and putting them in contact with each other.

[0012] "Progress" refers to the status or data that indicates how far a user has progressed toward their dream.

[0013] "Feedback" is the evaluation of a user's progress provided by a system or expert, as well as advice on the next steps to take.

[0014] "Messaging" is a means for users and experts to communicate in text or chat format in real time or non-real time.

[0015] An "online meeting" is a means for users and experts to communicate in real time via video and audio over the Internet.

[0016] "Database" refers to a recording device within the system that allows the system to efficiently store and manage user information, progress, expert knowledge, etc. [Brief explanation of the drawings]

[0017] [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

[0018] 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.

[0019] First, the terms used in the following description will be explained.

[0020] 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).

[0021] 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.

[0022] 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.

[0023] 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.

[0024] 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."

[0025] [First embodiment]

[0026] FIG. 1 shows an example of the configuration of a data processing system 10 according to the first embodiment.

[0027] 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.

[0028] 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).

[0029] 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.

[0030] 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.

[0031] 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.

[0032] 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.

[0033] FIG. 2 shows an example of the main functions of the data processing device 12 and the smart device 14.

[0034] 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.

[0035] 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.

[0036] 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.

[0037] 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."

[0038] The following describes an embodiment of the present invention. This system provides the steps and support necessary for users to realize their dreams, and the elements of the server, terminal, and user function in cooperation with each other.

[0039] First, a user accesses the system using a terminal and enters their profile information (name, age, dreams, etc.) on the new registration screen. This information is sent from the terminal to the server, which receives it and stores it in a database.

[0040] Next, the user enters details of their dream (for example, "I want to become a professional soccer player" or "I want to achieve this in 10 years"). The device sends this information to the server, and the system begins the process of calculating backward the steps toward realizing the dream. Specifically, the server generates steps to realize the user's dream based on expert knowledge and past data. These generated steps include the necessary learning methods, skills, training plans, etc. depending on the content.

[0041] For example, if a user aims to become a professional soccer player, the server will suggest specific steps such as strengthening basic physical strength, technique training, joining a local club, etc. The server then sends these steps to the user's device and displays them to the user, allowing the user to visually confirm the plan for achieving their dream.

[0042] The system also has a matching function with experts. Based on the user's dreams, the server searches the database for an appropriate expert and matches them. For example, a user aiming to become a professional soccer player can be matched with a local soccer coach. The server notifies the device of this, and the user can receive specific advice from the expert through messaging or online meetings.

[0043] The app also provides a function for managing the user's progress. The user enters their daily progress (for example, training content and achievement level) into the device, and this information is sent to the server and stored in a database. The server then analyzes the progress based on this information and generates feedback to provide to the user. For example, this may include specific advice such as, "Since your basic fitness has improved, next you should focus on technique training."

[0044] This allows the system to provide comprehensive support for users to turn their dreams into real goals and achieve them.

[0045] The processing flow will be explained below.

[0046] Step 1:

[0047] The user opens the new registration screen on their device and enters their profile information (name, age, type of dream, etc.).

[0048] Step 2:

[0049] The device transmits the entered profile information to the server.

[0050] Step 3:

[0051] The server receives the submitted profile information and stores it in a database.

[0052] Step 4:

[0053] The user inputs the details of the dream (specific details of the dream, deadline for achieving it, etc.) into the terminal.

[0054] Step 5:

[0055] The device sends the entered dream details to the server.

[0056] Step 6:

[0057] The server receives the details of the dream submitted and generates back-calculation steps based on expert knowledge and past data.

[0058] Step 7:

[0059] The server transmits the generated reverse calculation steps to the terminal and displays them to the user.

[0060] Step 8:

[0061] The user checks the reverse calculation steps displayed on the device and creates a specific action plan.

[0062] Step 9:

[0063] The server searches the database for relevant experts based on the user's dream.

[0064] Step 10:

[0065] The server matches the relevant expert information with the user and notifies the terminal.

[0066] Step 11:

[0067] Users can use their devices to message and meet online with experts.

[0068] Step 12:

[0069] The user inputs their daily progress (training content, achievement level, etc.) into the terminal.

[0070] Step 13:

[0071] The terminal transmits the input progress information to the server.

[0072] Step 14:

[0073] The server receives the progress information and stores it in a database.

[0074] Step 15:

[0075] The server analyzes your progress and generates next steps and advice.

[0076] Step 16:

[0077] The server generates feedback and sends it to the terminal for confirmation by the user.

[0078] This series of processes provides a system that allows users to convert their dreams into concrete action plans and manage their progress with the support of experts.

[0079] Example 1

[0080] 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."

[0081] In modern society, many people have dreams and goals, but lack the concrete steps and support to make them a reality. It is also often difficult to access the experts and information needed to make dreams a reality. As a result, individuals are prone to setbacks in the process of pursuing their dreams, and often achievable dreams end up unrealized.

[0082] 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.

[0083] In this invention, the server includes means for a user to input their profile and details of their dream, means for transmitting the information to the server and storing it in a database, means for generating back-calculation steps for realizing the user's dream, means for providing the generated steps to a terminal and confirming them, means for matching the user with experts necessary for realizing the dream, means for notifying the terminal of and displaying the list of experts, and means for managing and providing feedback on the user's progress, making it easier for users to take specific steps toward realizing their dreams and enabling them to efficiently progress toward achieving their goals with the support of experts.

[0084] "User" refers to any individual or entity that uses the System.

[0085] "Profile" refers to data including a User's name, age, email address and other basic personal information.

[0086] "Dreams" refer to goals and hopes that users want to achieve in the future.

[0087] "Server" refers to a computer system for receiving user information and storing and analyzing data.

[0088] "Database" refers to a system that manages and stores data such as user profile information, dream details, and progress.

[0089] "Steps" refer to a series of specific actions or plans required to make a user's dream a reality.

[0090] "Backward calculation steps" refer to specific steps determined by calculating backwards the path from the user's final goal to the present.

[0091] An "expert" is an individual or organization that has advanced knowledge and skills in a particular field and can provide support to help users realize their dreams.

[0092] "Matching" refers to the process of searching for and suggesting suitable experts based on the user's dreams and goals.

[0093] "Progress" refers to data and indicators that show how far a user is moving toward their dream.

[0094] "Feedback" refers to advice and suggestions provided based on the user's progress.

[0095] The following describes an embodiment of the present invention. This system provides the steps and support necessary for users to realize their dreams, and the elements of the server, terminal, and user function in cooperation with each other.

[0096] First, the user accesses the system using a terminal and enters the required information (name, age, email address, etc.) on the new registration screen. The hardware required for this includes personal computers, smartphones, and tablet terminals. The terminal sends this information to the server, which then stores the received information in a database. The widely used database system is MySQL.

[0097] After logging in, users enter details of their dreams (e.g., "I want to become a professional soccer player" or "I want to achieve this in 10 years"). The device then sends this information to the server, which then uses a generative AI model to analyze the data based on the details of the dream received. Using data analysis tools such as Python's Pandas and Scikit-learn, the server utilizes past data and expert knowledge to generate specific steps (e.g., strengthening basic physical fitness, technical training, joining a local club, etc.) to help the user realize their dream.

[0098] The generated steps are sent from the server to the device, where the user can visually confirm them. For example, if a user sets the goal of becoming a professional soccer player, the system will suggest specific steps such as "running every day," "technique training every week," and "playing in a match once a month."

[0099] The system also includes a matching function with experts. Based on the user's dreams and goals, the server searches a database for appropriate experts and matches them with the user. Messaging platforms (e.g., Slack API) and online meeting platforms (e.g., Zoom API) are used to contact the experts. For example, a user aiming to become a professional soccer player will be suggested a local soccer coach. The server notifies the device of this, and the user can receive specific advice through messaging or online meetings with the expert.

[0100] To manage the user's progress, the user inputs their daily training details and achievements into the device. The device then sends this information to the server, which stores it in a database and analyzes the progress data to generate feedback. For example, the server can provide specific advice such as, "Since your basic fitness has improved, next you should focus on technique training." The analysis is performed using a Python script that is automatically executed after the database is updated.

[0101] Specific examples

[0102] If a user sets a dream of "becoming a professional soccer player," the following steps will be generated:

[0103] 1. Daily Running

[0104] 2. Weekly Technique Training

[0105] 3. Participate in a match once a month

[0106] Example prompts for generative AI models

[0107] An example of a prompt is as follows:

[0108] "If a user wants to become a professional soccer player, please explain the necessary steps in detail. Starting with strengthening basic physical strength, please also explain the subsequent training content and how to match them with experts."

[0109] The flow of the identification process in the first embodiment will be described with reference to FIG.

[0110] Step 1:

[0111] A user accesses the system using a terminal and enters the required information (name, age, email address, etc.) on the new registration screen. The input data is sent from the terminal to the server. The server performs an initial check of the received information, and if there are no errors, stores it in the database. This creates a user account. Specifically, the data entered in the web form is sent and inserted into the database using an SQL query.

[0112] Step 2:

[0113] After logging in, the user uses the terminal to input the specific details of their dream (e.g., "I want to become a professional soccer player" or "I want to achieve this in 10 years"). The details entered are sent from the terminal to the server, which stores this information in a database. This data becomes the basis for generating subsequent steps. Specifically, the input form accepts the details of the dream, sends them to the server as a POST request, and stores them in the database.

[0114] Step 3:

[0115] The server uses a generative AI model to analyze the received dream details. The input data is the user's dream details, and data processing and calculations are performed to generate back-calculation steps. Software used includes Python's Pandas and Scikit-learn. This outputs specific learning methods and steps (e.g., strengthening basic physical fitness, technique training, joining a local club, etc.). These steps are stored in a database and provided later.

[0116] Step 4:

[0117] The server sends the generated steps to the terminal, where the user confirms them. First, the server reads the generated steps from the database and sends them to the terminal. The terminal displays the received steps on the user interface, and when the user presses the confirmation button, a message that confirmation has been completed is sent to the server. Specifically, the server generates a UI for displaying the steps and triggers a confirmation action.

[0118] Step 5:

[0119] The server searches the database for appropriate experts based on the user's dream and performs matching. The input data is the details of the user's dream, and based on this, the expert information is filtered and narrowed down. A matching algorithm is used to generate a list of applicable experts and notify the device. This algorithm uses Python and SQL. Specifically, it narrows down the experts based on the matching policy and generates a list.

[0120] Step 6:

[0121] The user's daily progress (e.g., training content and achievement level) is entered into the terminal and sent from the terminal to the server. The server saves the received progress data in a database and prepares it for analysis. The input data is the progress, and the saved data is used for later analysis and feedback generation. Specifically, the data is accepted in the progress input form and saved.

[0122] Step 7:

[0123] The server analyzes the progress data and generates feedback. A Python script is used for the analysis, and the progress data is analyzed in detail to output specific feedback. For example, specific advice such as "Since your basic physical strength has improved, next you should focus on technique training" is generated. The analysis results are saved in a database and later notified to the user. Specific operations include running the analysis script and generating feedback.

[0124] Step 8:

[0125] The server generates feedback and sends it to the device for confirmation by the user. The feedback is read from the database and sent to the device. The device displays the feedback on the user interface, and once confirmed by the user, the information is sent to the server. Specifically, the system generates a UI for displaying the feedback and triggers a confirmation action.

[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 dream realization support systems lack specific support for users to realize their dreams, making it difficult for users to visually and effectively understand and manage the steps required to make their goals a reality. In addition, matching with experts and progress management are often complex and time-consuming, hindering efficient goal achievement.

[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 a means for a user with a dream to input his / her profile and details of the dream, a means for generating backward calculation steps for realizing the user's dream, a means for matching the user with experts necessary for realizing the dream, a means for managing and providing feedback on the user's progress, and a means for the user to access a virtual store and receive support for realizing the dream via a smartphone. This enables the user to efficiently and effectively break down their dream into specific steps and manage their progress toward achieving their goal with support from experts.

[0131] "Dream details" refers to the specific content of the goals and hopes that the user wants to achieve.

[0132] "Backward calculation steps" refers to a series of specific methods or plans derived by working backwards through the processes required by the user to achieve their goal.

[0133] An "expert" is someone who has advanced knowledge and practical experience in a field related to the user's dreams and goals.

[0134] "Matching" refers to the process of matching users with appropriate experts.

[0135] "Progress" refers to the activities that a user has undertaken to achieve a goal and the resulting status.

[0136] "Feedback" refers to the provision of information to give support and advice on the user's progress.

[0137] A "virtual store" refers to a virtual sales and service space built on the Internet.

[0138] "Smartphone" refers to a portable communication device that can connect to the Internet and use a variety of applications.

[0139] "Server" refers to a computer system that processes requests from multiple users and stores and provides various data.

[0140] A "generative AI model" refers to an algorithm or system that uses artificial intelligence techniques to automatically generate new data or information.

[0141] "Prompt" means text containing instructions or questions used as input to a generative AI model.

[0142] The following describes an embodiment of the present invention. This system provides the steps and support necessary for users to realize their dreams, and the elements of the server, terminal, and user work together.

[0143] First, a user accesses the system using a smartphone and enters their profile information (such as name, age, and details of their dreams) on the new registration screen. This information is sent from the device to the server, which receives it and stores it in a database. Since the server manages a large amount of user data, it is possible to use a relational database such as SQLite or MySQL.

[0144] Next, the user enters details of their dream (for example, "I want to become a professional soccer player" or "I want to start a successful business"). The device sends this information to the server, which then begins the process of calculating backward the steps toward realizing the dream. Specifically, the server uses a generative AI model to generate specific steps to realize the user's dream based on the prompt. These steps are generated using past data and expert knowledge.

[0145] For example, if a user aims to become a professional soccer player, the server will suggest detailed steps such as strengthening basic physical strength, technique training, joining a local club, etc. These steps are sent from the server to the device and can be visually confirmed by the user on their smartphone.

[0146] The system also includes a function that searches a database for appropriate experts based on the user's dreams and matches them with the right person. For example, a user aspiring to become a professional soccer player can be matched with a local soccer coach. The server notifies the user of the matching results, and the user can receive specific advice from the expert through messaging or online meetings. Platforms such as Zoom and Microsoft Teams can be used for messaging and online meetings.

[0147] The app also provides a function for managing the user's progress. Users enter their daily progress (for example, training content and achievement level) into their smartphone, and this information is sent to the server and stored in a database. The server uses this information to analyze the progress and generate feedback to provide to the user. For example, this may include specific advice such as, "Since your basic physical strength has improved, next you should focus on technique training."

[0148] Through this collaboration, the system provides comprehensive support for users to turn their dreams into real goals and achieve them.

[0149] Prompt Sentence Examples

[0150] User's dream: "Professional soccer player" Age: 22

[0151] Suggest steps that this user can take to achieve their dream.

[0152] Step 1: Strengthen your basic physical strength.

[0153] Step 2: Do technique training.

[0154] Step 3: Join a local club.

[0155] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[0156] Step 1:

[0157] A user accesses the system using a smartphone and enters their profile information (such as name, age, and details of their dream) on the new registration screen. This input data (name, age, and details of their dream) is sent from the user's device to the server. The server stores the received information in an SQLite or MySQL database. This records the user's basic information in the database.

[0158] Step 2:

[0159] A user enters specific details of their dream into the system via their smartphone (e.g., "I want to be a professional soccer player"). The device then sends this information to the server. The server receives this data and generates a prompt for the generative AI model. This prompt is generated based on the user's dream. For example, "User's dream: 'Professional soccer player' Age: 22 Please suggest steps for this user to achieve their dream."

[0160] Step 3:

[0161] The server uses a generative AI model to generate specific steps to realize the user's dream based on the prompt text. The generative AI model utilizes past data and expert knowledge to generate reverse-calculation steps (e.g., strengthening basic physical strength, performing technique training, etc.) that correspond to the user's dream. This step data is stored on the server, and the generated steps are sent to the device. The user can visually check these steps on their smartphone.

[0162] Step 4:

[0163] The server searches the database for suitable experts based on the user's dreams and lists candidates. For example, if a user aims to become a professional soccer player, the server searches for local soccer coaches. Expert information is sent from the server to the user's device, and the user can check the matching information with the experts on their smartphone.

[0164] Step 5:

[0165] Users can initiate messaging with experts and schedule online meetings using their smartphones, and the server can use platforms such as Zoom and Microsoft Teams to facilitate this. Through messaging and online meetings, users can receive specific advice and guidance from experts.

[0166] Step 6:

[0167] Users enter their daily progress (e.g., training content and achievement level) into their smartphones and send that information to the server. The server stores the received progress data in a database and analyzes the progress. Based on the analysis results, the server generates feedback and provides specific advice to the user (e.g., "Your basic physical strength has improved, so next you should focus on technique training"). The feedback is sent to the smartphone, where the user can check it.

[0168] Through these steps, the system provides comprehensive support for users to turn their dreams into real goals and achieve them.

[0169] 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.

[0170] The following describes an embodiment of the present invention. This system provides users with the steps and support they need to realize their dreams, and the various elements of the system, including the server, the terminal, and the user, work together. The system also incorporates an emotion engine that recognizes the user's emotions and customizes feedback based on those emotions.

[0171] First, a user accesses the system using a terminal and enters their profile information (name, age, type of dream, etc.) on the new registration screen. This information is sent from the terminal to the server, which receives it and stores it in a database.

[0172] Next, the user enters details of their dream (for example, "I want to become a professional soccer player" or "I want to achieve this in 10 years"). The device sends this information to the server, and the system begins the process of calculating backward the steps toward realizing the dream. Specifically, the server generates steps to realize the user's dream based on expert knowledge and past data. These generated steps include the necessary learning methods, skills, training plans, etc. depending on the content.

[0173] For example, if a user aims to become a professional soccer player, the server will suggest specific steps such as strengthening basic physical strength, technique training, joining a local club, etc. The server then sends these steps to the user's device and displays them to the user, allowing the user to visually confirm the plan for achieving their dream.

[0174] The system also has a matching function with experts. Based on the user's dreams, the server searches the database for an appropriate expert and matches them. For example, a user aiming to become a professional soccer player can be matched with a local soccer coach. The server notifies the device of this, and the user can receive specific advice from the expert through messaging or online meetings.

[0175] In addition, the system also provides a function for managing the user's progress. The user enters their daily progress (e.g., training content and achievement level) into the device, and this information is sent to the server and stored in a database. The server then analyzes the progress based on this information and generates feedback to provide to the user. For example, this may include specific advice such as, "Since your basic physical strength has improved, next you should focus on technique training."

[0176] Another important feature is an emotion engine that recognizes the user's emotions. The emotion engine analyzes emotions from the user's input and behavioral data, and customizes the feedback it provides based on that analysis. For example, if it determines that the user is losing motivation, it adjusts the feedback and provides advice to help them regain their motivation. The emotion engine can also optimize expert matching based on emotions, selecting experts who can provide psychological support to the user.

[0177] This allows the system to provide comprehensive support to help users turn their dreams into real goals and achieve them, and also provides customized assistance that takes into account the user's emotions.

[0178] The processing flow will be explained below.

[0179] Step 1:

[0180] The user opens the new registration screen on their device and enters their profile information (name, age, type of dream, etc.).

[0181] Step 2:

[0182] The device transmits the entered profile information to the server.

[0183] Step 3:

[0184] The server receives the submitted profile information and stores it in a database.

[0185] Step 4:

[0186] The user inputs the details of the dream (specific details of the dream, deadline for achieving it, etc.) into the terminal.

[0187] Step 5:

[0188] The device sends the entered dream details to the server.

[0189] Step 6:

[0190] The server receives the details of the dream submitted and generates back-calculation steps based on expert knowledge and past data.

[0191] Step 7:

[0192] The server transmits the generated reverse calculation steps to the terminal and displays them to the user.

[0193] Step 8:

[0194] The user checks the reverse calculation steps displayed on the device and creates a specific action plan.

[0195] Step 9:

[0196] The server searches the database for relevant experts based on the user's dream.

[0197] Step 10:

[0198] The server matches the relevant expert information with the user and notifies the terminal.

[0199] Step 11:

[0200] Users can use their devices to message and meet online with experts.

[0201] Step 12:

[0202] The user inputs their daily progress (training content, achievement level, etc.) into the terminal.

[0203] Step 13:

[0204] The terminal transmits the input progress information to the server.

[0205] Step 14:

[0206] The server receives the progress information and stores it in a database.

[0207] Step 15:

[0208] The server analyzes your progress and generates next steps and advice.

[0209] Step 16:

[0210] The server generates feedback and sends it to the terminal for confirmation by the user.

[0211] Step 17:

[0212] The emotion engine analyzes user input and behavioral data to recognize emotions.

[0213] Step 18:

[0214] The emotion engine re-customizes feedback based on the perceived emotion.

[0215] Step 19:

[0216] An emotion engine generates next steps and advice that take into account the user's emotional state.

[0217] Step 20:

[0218] The device displays customized feedback and advice to the user.

[0219] For example, if a user inputs their dream of becoming a professional soccer player, the server will generate and display steps such as "strengthening basic physical fitness," "technique training," and "joining a local club" as back-calculation steps. The server then matches the user with an appropriate soccer coach and notifies the user. Using progress data and the emotion engine, the engine can detect if the user's motivation is declining during training and adjust its support advice, providing feedback such as "try a new training method."

[0220] Example 2

[0221] 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."

[0222] Previous systems made it difficult for users to receive specific steps toward realizing their dreams or ongoing support from experts. Furthermore, the system did not adequately optimize feedback based on users' emotions and progress, often resulting in a loss of motivation and failure to achieve their goals. This resulted in a lack of effective support for users to turn their dreams into real goals.

[0223] 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.

[0224] In this invention, the server includes means for a user with a dream to input his / her profile and details of the dream, means for generating back-calculation steps for realizing the user's dream, means for matching the user with experts necessary for realizing the dream, means for managing and providing feedback on the user's progress, and means for analyzing the user's emotions and customizing feedback based on the analysis results. This enables the user to make a plan for realizing their dream through specific and effective steps, and further enables the user to move forward toward achieving their goal while maintaining motivation through feedback according to their emotions.

[0225] "Profile information" refers to basic information about a user, such as the user's name, age, and type of dream.

[0226] "Dream details" refers to specific information about the goals or dreams that the user wants to achieve.

[0227] "Means for generating back-calculation steps" refers to the system's function of back-calculating and generating the steps necessary for the user to achieve their goal based on expert knowledge and past data.

[0228] "Means for matching with experts" refers to the system's function of searching for appropriate experts based on the user's dreams and goals and matching them with the user.

[0229] "Means for managing and providing feedback on progress" refers to the system's functionality for collecting and analyzing users' daily progress data and providing appropriate feedback based on that data.

[0230] "Means for analyzing emotions and customizing feedback" refers to the system's function of analyzing emotions from user input and behavioral data, and customizing the content of feedback based on the analysis results.

[0231] "Generative AI model" refers to an artificial intelligence model used to generate optimal steps and feedback based on user input and other data.

[0232] A "prompt sentence" refers to an instruction sentence input to a generative AI model.

[0233] The system of the present invention provides users with the steps and support they need to realize their dreams, and the various elements of the system, including the server, terminal, and user, work in coordination. The system also incorporates an emotion engine that recognizes the user's emotions and customizes feedback based on those emotions.

[0234] First, a user accesses the system using a terminal and enters their profile information (name, age, type of dream, etc.) on the new registration screen. This information is sent from the terminal to the server, which receives it and stores it in a database.

[0235] Next, the user enters details of their dream (for example, "I want to become a professional soccer player" or "I want to achieve this in 10 years"). The device sends this information to the server, and the system begins the process of calculating backward the steps toward realizing the dream. Specifically, the server generates steps to realize the user's dream based on expert knowledge and past data. These generated steps include the necessary learning methods, skills, training plans, etc. depending on the content.

[0236] For example, if a user aims to become a professional soccer player, the server will suggest specific steps such as strengthening basic physical strength, technique training, joining a local club, etc. The server then sends these steps to the user's device and displays them to the user, allowing the user to visually confirm the plan for achieving their dream.

[0237] The system also has a matching function with experts. Based on the user's dreams, the server searches the database for an appropriate expert and matches them. For example, a user aiming to become a professional soccer player can be matched with a local soccer coach. The server notifies the device of this, and the user can receive specific advice from the expert through messaging or online meetings.

[0238] In addition, the system also provides a function for managing the user's progress. The user enters their daily progress (e.g., training content and achievement level) into the device, and this information is sent to the server and stored in a database. The server then analyzes the progress based on this information and generates feedback to provide to the user. For example, this may include specific advice such as, "Since your basic physical strength has improved, next you should focus on technique training."

[0239] Another important feature is an emotion engine that recognizes the user's emotions. The emotion engine analyzes emotions from the user's input and behavioral data, and customizes the feedback it provides based on that analysis. For example, if it determines that the user is losing motivation, it adjusts the feedback and provides advice to help them regain their motivation. The emotion engine can also optimize expert matching based on emotions, selecting experts who can provide psychological support to the user.

[0240] As a concrete example, consider a user aiming to become a professional soccer player. The user uses a device to input, "I want to become a professional soccer player, and I would like to achieve this in 10 years." The device sends this information to a server, which generates steps such as strengthening basic physical strength, technique training, and joining a local club. The server sends these steps to the device, and the user confirms the specific plan. The server searches for local soccer coaches and matches them with the user. The user inputs their progress into the device, and the server analyzes the progress data and provides feedback such as, "Your basic physical strength has improved, so next you should focus on technique training." The emotion engine detects that the user's motivation is declining and provides feedback such as, "You seem to be losing motivation recently. Why don't you try a new training method?"

[0241] Example prompt for a generative AI model:

[0242] "Please tell me the specific steps I need to take to become a professional soccer player. I would like to achieve this in 10 years."

[0243] This allows the system to provide comprehensive support to help users turn their dreams into real goals and achieve them, and also provides customized assistance that takes into account the user's emotions.

[0244] The flow of the identification process in the second embodiment will be described with reference to FIG.

[0245] Step 1:

[0246] Entering profile information and registering

[0247] The user accesses the system using a terminal and opens the new registration screen.

[0248] Users enter their profile information (name, age, type of dream, etc.).

[0249] The terminal transmits the input information to the server.

[0250] The server stores the received information in a database.

[0251] Input: User profile information (name, age, type of dream, etc.)

[0252] Output: User profile information stored in the database

[0253] Specific operation: The terminal obtains the entered profile information and sends it to the server via the network, and the server inserts it into the SQL database.

[0254] Step 2:

[0255] Enter detailed information about your dream

[0256] The user enters details of their dream (such as "I want to be a professional soccer player" or "I want to achieve this in 10 years") into the device.

[0257] The terminal transmits the input information to the server.

[0258] The server stores the received information in a database.

[0259] Input: User's dream details

[0260] Output: detailed dream information stored in the database

[0261] Specific operation: The device displays a form for entering details of the dream, captures the information entered by the user, sends it to the server, and the server stores it in a database.

[0262] Step 3:

[0263] Step Generation

[0264] Based on the detailed information of the dream received, the server uses a generative AI model to generate back-calculation steps based on expert knowledge and past data.

[0265] Input: User's dream details

[0266] Output: Generated back-calculation steps

[0267] Specific operation: The server inputs detailed information about the dream as prompts to the generated AI model, processes the specific steps (basic physical strength training, technique training, etc.) generated by the AI ​​model, and outputs the results.

[0268] Step 4:

[0269] Viewing Steps

[0270] The server transmits the generated steps to the terminal.

[0271] The terminal displays this to the user.

[0272] Input: Generated steps

[0273] Output: The steps that are displayed to the user

[0274] Specific operation: The server sends the generated steps to the terminal as JSON format data, and the terminal generates a UI to visually display this.

[0275] Step 5:

[0276] Matching with experts

[0277] The server searches the database for suitable experts based on the user's dreams.

[0278] The server notifies the terminal of the search results.

[0279] Users can use the device to message and meet online with experts.

[0280] Input: User's dream details, expert database

[0281] Output: Matched expert information

[0282] Specific operation: The server executes a search query to extract suitable experts from the expert database, sends the extracted information to the terminal, and the terminal displays the list of experts.

[0283] Step 6:

[0284] Track progress and generate feedback

[0285] Users enter their daily progress (training content and achievement level) into the terminal.

[0286] The terminal transmits the input progress information to the server.

[0287] The server analyzes the progress data and generates feedback.

[0288] The server sends the generated feedback to the terminal and displays it to the user.

[0289] Input: User progress information

[0290] Output: Generated feedback

[0291] Specific operation: The terminal displays a form for inputting user progress information, sends the input data to the server, and the server uses an analysis algorithm to generate feedback and sends it to the terminal.

[0292] Step 7:

[0293] Customized feedback with emotion engine

[0294] The emotion engine analyzes emotions from user input and behavioral data.

[0295] The emotion engine customizes feedback based on the analysis results.

[0296] The server sends customized feedback to the terminal.

[0297] Input: User input and behavioral data

[0298] Output: Customized feedback

[0299] Specific operation: The emotion engine inputs user input and behavioral data into a machine learning model, predicts emotions, generates customized feedback based on the prediction results, and sends it to the device via the server.

[0300] (Application example 2)

[0301] 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."

[0302] The challenge is to efficiently provide users with the steps and support they need to realize their dreams. However, it is difficult to provide customized feedback that takes into account the user's emotional state and progress, and is linked to their real-world activities. Matching users with the right experts is also not easy. It is necessary to solve these challenges and enable users to realize their dreams more effectively.

[0303] The identification process by the identification 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 with a dream to input his or her profile and details of the dream, a means for generating back-calculation steps for realizing the user's dream, a means for matching the user with experts necessary for realizing the dream, a means for managing and providing feedback on the user's progress, a means for recognizing the user's emotions and customizing feedback, and a means for supporting the user in conjunction with activities at a physical store. This makes it possible to provide specific support and feedback customized based on the user's emotional state and progress, and to effectively match the user with experts needed in the process of realizing their dream.

[0304] A "user" is an individual who uses the system to realize their dreams and goals.

[0305] "Profile" is basic information such as the user's name, age, and type of dream.

[0306] "Dream details" is information such as the specific goal the user wants to achieve and the deadline for achieving it.

[0307] "Backward Steps" is a plan that shows, step by step, the specific actions and learning processes required to realize your dreams.

[0308] An "expert" is a professional with extensive knowledge and experience in a particular field.

[0309] "Matching" is the process of searching for and matching the experts and support resources that best suit the user's dreams.

[0310] "Progress" indicates how far the user has progressed toward realizing their dream.

[0311] "Feedback" is advice and evaluation provided based on the user's progress.

[0312] The "emotion engine" is a system component that analyzes the user's emotional state and customizes the feedback content based on that.

[0313] A "physical store" is a physical location that users can visit and that provides in-person assistance and training.

[0314] "Customization" is the process of optimizing the content of assistance and feedback based on the user's individual situation and emotional state.

[0315] The system of this invention is composed of multiple elements that work together to help users realize their dreams. Each element, including the server, terminal, and user, plays an important role, and the emotion engine analyzes the user's emotions and customizes the feedback. Furthermore, collaboration with real stores provides more practical support.

[0316] System Overview

[0317] The system consists of the following key components:

[0318] 1. Means for entering profile and dream details: The user uses the terminal to enter their basic information (name, age, type of dream) and specific dream details.

[0319] 2. Means for generating back-calculation steps: The server uses expert knowledge and past data based on the information entered by the user to back-calculate and present the specific steps necessary to realize the dream.

[0320] 3. Expert matching means: The server searches the database for an appropriate expert and matches the user with the expert.

[0321] 4. Progress management and feedback means: The terminal sends the user's progress data to the server, which analyzes it and generates feedback.

[0322] 5. Emotion Engine: The emotion engine analyzes the user's emotional state and customizes the feedback accordingly.

[0323] 6. Means of linking with real stores: Users can integrate their activities in real stores with plans within the system to help them realize their dreams.

[0324] Program processing overview

[0325] Enter your profile and dream details

[0326] Users access the system using a smartphone or tablet and enter their profile information on the new registration screen. This information is sent from the device to the server and stored in a database. The user then enters details of their dream, which is also sent from the device to the server.

[0327] Generating back calculation steps

[0328] The server uses expert knowledge and past data to generate back-calculation steps based on the received dream information. The generated steps include the necessary learning methods, skills, and training plans.

[0329] Expert Matching

[0330] The server searches the database for appropriate experts based on the user's dream and matches them. For example, if the user's dream is to become a professional soccer player, the server searches for and matches with local soccer coaches. This allows the user to receive specific advice.

[0331] Progress management and feedback

[0332] Users input their daily progress into the device, and that information is sent to the server. The server analyzes the progress and generates feedback. For example, the server may provide specific advice such as, "Your basic fitness has improved, so next you should focus on technique training."

[0333] Emotion Engine

[0334] The emotion engine analyzes the user's input and behavioral data to determine their emotions and customize the feedback. For example, if it determines that the user is losing motivation, it adjusts the feedback and provides advice to help them regain their motivation. It is also possible to optimize expert matching based on emotions.

[0335] Linking with real stores

[0336] Users can access support and training provided in real stores that they can actually visit, which aligns the plans presented in the system with real-world activities, making the realization of dreams more feasible.

[0337] Specific examples

[0338] For example, if a user sets a dream of "becoming a professional soccer player" and uses the app at a physical training gym, if the user enters progress as "participating in basic physical training," the emotion engine will determine this as "high motivation" and provide feedback such as "Great progress! Keep it up!". The app will also match the user with a soccer coach in their area who is best suited to the user.

[0339] Example inputs to a generative AI model:

[0340] "Please suggest the next progress step: Username is Taro Tanaka, age 25, dreams of becoming a professional soccer player. Current progress is participating in basic physical training. Emotional state is highly motivated."

[0341] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[0342] Step 1:

[0343] A user accesses the system using a terminal and enters their profile information (such as name, age, and type of dream) on the new registration screen. The input data is sent from the terminal to the server and stored in a database. This is to provide the user with basic data to personalize the support provided in subsequent steps.

[0344] Step 2:

[0345] The user inputs details of their dream (e.g., "I want to be a professional soccer player" or "I want to achieve this in 10 years") via a device. The device sends this information to the server, which receives it and stores it in a database. This gives the system data to understand the user's specific goals.

[0346] Step 3:

[0347] The server uses expert knowledge and past data to generate back-calculation steps to realize the user's dream. This process retrieves and analyzes relevant information from the database to generate a specific action plan for the user's dream. The output back-calculation steps include the necessary learning methods, skills, and training plans.

[0348] Step 4:

[0349] The server searches the database for suitable experts based on the user's dream and performs matching. The data used is the type of dream and detailed information of the user. The output of this step is a list of experts, which is provided to the user.

[0350] Step 5:

[0351] The server sends the generated back-calculation steps and expert information to the device and displays them to the user, who can then view their progress and receive guidance on how to proceed to the next step. The feedback includes specific instructions and advice on what actions the user should take.

[0352] Step 6:

[0353] The user inputs their daily progress (e.g., training content and achievement level) into the device, and the information is sent to the server and stored in a database. The server analyzes the progress based on this information and generates feedback to provide to the user. The output of the analysis is specific advice based on the progress results.

[0354] Step 7:

[0355] The emotion engine analyzes emotions from the user's input and behavioral data, and customizes the feedback content based on that. The input data is the user's behavioral history and emotional state, and the engine analyzes it to generate optimal feedback. The output is a feedback message that takes emotions into consideration.

[0356] Step 8:

[0357] The user receives support and training provided at a physical store. The device collects progress data, sends it to a server, and stores it in a database. By linking real-world activity data with plans within the system, the system effectively supports the realization of dreams. The output is an integrated support plan that reflects the user's progress.

[0358] 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.

[0359] 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.

[0360] 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.

[0361] [Second embodiment]

[0362] FIG. 3 shows an example of the configuration of a data processing system 210 according to the second embodiment.

[0363] 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.

[0364] 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).

[0365] 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.

[0366] 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.

[0367] 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).

[0368] 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.

[0369] 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.

[0370] 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.

[0371] 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.

[0372] 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.

[0373] 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."

[0374] The following describes an embodiment of the present invention. This system provides the steps and support necessary for users to realize their dreams, and the elements of the server, terminal, and user function in cooperation with each other.

[0375] First, a user accesses the system using a terminal and enters their profile information (name, age, dreams, etc.) on the new registration screen. This information is sent from the terminal to the server, which receives it and stores it in a database.

[0376] Next, the user enters details of their dream (for example, "I want to become a professional soccer player" or "I want to achieve this in 10 years"). The device sends this information to the server, and the system begins the process of calculating backward the steps toward realizing the dream. Specifically, the server generates steps to realize the user's dream based on expert knowledge and past data. These generated steps include the necessary learning methods, skills, training plans, etc. depending on the content.

[0377] For example, if a user aims to become a professional soccer player, the server will suggest specific steps such as strengthening basic physical strength, technique training, joining a local club, etc. The server then sends these steps to the user's device and displays them to the user, allowing the user to visually confirm the plan for achieving their dream.

[0378] The system also has a matching function with experts. Based on the user's dreams, the server searches the database for an appropriate expert and matches them. For example, a user aiming to become a professional soccer player can be matched with a local soccer coach. The server notifies the device of this, and the user can receive specific advice from the expert through messaging or online meetings.

[0379] The app also provides a function for managing the user's progress. The user enters their daily progress (for example, training content and achievement level) into the device, and this information is sent to the server and stored in a database. The server then analyzes the progress based on this information and generates feedback to provide to the user. For example, this may include specific advice such as, "Since your basic fitness has improved, next you should focus on technique training."

[0380] This allows the system to provide comprehensive support for users to turn their dreams into real goals and achieve them.

[0381] The processing flow will be explained below.

[0382] Step 1:

[0383] The user opens the new registration screen on their device and enters their profile information (name, age, type of dream, etc.).

[0384] Step 2:

[0385] The device transmits the entered profile information to the server.

[0386] Step 3:

[0387] The server receives the submitted profile information and stores it in a database.

[0388] Step 4:

[0389] The user inputs the details of the dream (specific details of the dream, deadline for achieving it, etc.) into the terminal.

[0390] Step 5:

[0391] The device sends the entered dream details to the server.

[0392] Step 6:

[0393] The server receives the details of the dream submitted and generates back-calculation steps based on expert knowledge and past data.

[0394] Step 7:

[0395] The server transmits the generated reverse calculation steps to the terminal and displays them to the user.

[0396] Step 8:

[0397] The user checks the reverse calculation steps displayed on the device and creates a specific action plan.

[0398] Step 9:

[0399] The server searches the database for relevant experts based on the user's dream.

[0400] Step 10:

[0401] The server matches the relevant expert information with the user and notifies the terminal.

[0402] Step 11:

[0403] Users can use their devices to message and meet online with experts.

[0404] Step 12:

[0405] The user inputs their daily progress (training content, achievement level, etc.) into the terminal.

[0406] Step 13:

[0407] The terminal transmits the input progress information to the server.

[0408] Step 14:

[0409] The server receives the progress information and stores it in a database.

[0410] Step 15:

[0411] The server analyzes your progress and generates next steps and advice.

[0412] Step 16:

[0413] The server generates feedback and sends it to the terminal for confirmation by the user.

[0414] This series of processes provides a system that allows users to convert their dreams into concrete action plans and manage their progress with the support of experts.

[0415] Example 1

[0416] 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."

[0417] In modern society, many people have dreams and goals, but lack the concrete steps and support to make them a reality. It is also often difficult to access the experts and information needed to make dreams a reality. As a result, individuals are prone to setbacks in the process of pursuing their dreams, and often achievable dreams end up unrealized.

[0418] 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.

[0419] In this invention, the server includes means for a user to input their profile and details of their dream, means for transmitting the information to the server and storing it in a database, means for generating back-calculation steps for realizing the user's dream, means for providing the generated steps to a terminal and confirming them, means for matching the user with experts necessary for realizing the dream, means for notifying the terminal of and displaying the list of experts, and means for managing and providing feedback on the user's progress, making it easier for users to take specific steps toward realizing their dreams and enabling them to efficiently progress toward achieving their goals with the support of experts.

[0420] "User" refers to any individual or entity that uses the System.

[0421] "Profile" refers to data including a User's name, age, email address and other basic personal information.

[0422] "Dreams" refer to goals and hopes that users want to achieve in the future.

[0423] "Server" refers to a computer system for receiving user information and storing and analyzing data.

[0424] "Database" refers to a system that manages and stores data such as user profile information, dream details, and progress.

[0425] "Steps" refer to a series of specific actions or plans required to make a user's dream a reality.

[0426] "Backward calculation steps" refer to specific steps determined by calculating backwards the path from the user's final goal to the present.

[0427] An "expert" is an individual or organization that has advanced knowledge and skills in a particular field and can provide support to help users realize their dreams.

[0428] "Matching" refers to the process of searching for and suggesting suitable experts based on the user's dreams and goals.

[0429] "Progress" refers to data and indicators that show how far a user is moving toward their dream.

[0430] "Feedback" refers to advice and suggestions provided based on the user's progress.

[0431] The following describes an embodiment of the present invention. This system provides the steps and support necessary for users to realize their dreams, and the elements of the server, terminal, and user function in cooperation with each other.

[0432] First, the user accesses the system using a terminal and enters the required information (name, age, email address, etc.) on the new registration screen. The hardware required for this includes personal computers, smartphones, and tablet terminals. The terminal sends this information to the server, which then stores the received information in a database. The widely used database system is MySQL.

[0433] After logging in, users enter details of their dreams (e.g., "I want to become a professional soccer player" or "I want to achieve this in 10 years"). The device then sends this information to the server, which then uses a generative AI model to analyze the data based on the details of the dream received. Using data analysis tools such as Python's Pandas and Scikit-learn, the server utilizes past data and expert knowledge to generate specific steps (e.g., strengthening basic physical fitness, technical training, joining a local club, etc.) to help the user realize their dream.

[0434] The generated steps are sent from the server to the device, where the user can visually confirm them. For example, if a user sets the goal of becoming a professional soccer player, the system will suggest specific steps such as "running every day," "technique training every week," and "playing in a match once a month."

[0435] The system also includes a matching function with experts. Based on the user's dreams and goals, the server searches a database for appropriate experts and matches them with the user. Messaging platforms (e.g., Slack API) and online meeting platforms (e.g., Zoom API) are used to contact the experts. For example, a user aiming to become a professional soccer player will be suggested a local soccer coach. The server notifies the device of this, and the user can receive specific advice through messaging or online meetings with the expert.

[0436] To manage the user's progress, the user inputs their daily training details and achievements into the device. The device then sends this information to the server, which stores it in a database and analyzes the progress data to generate feedback. For example, the server can provide specific advice such as, "Since your basic fitness has improved, next you should focus on technique training." The analysis is performed using a Python script that is automatically executed after the database is updated.

[0437] Specific examples

[0438] If a user sets a dream of "becoming a professional soccer player," the following steps will be generated:

[0439] 1. Daily Running

[0440] 2. Weekly Technique Training

[0441] 3. Participate in a match once a month

[0442] Example prompts for generative AI models

[0443] An example of a prompt is as follows:

[0444] "If a user wants to become a professional soccer player, please explain the necessary steps in detail. Starting with strengthening basic physical strength, please also explain the subsequent training content and how to match them with experts."

[0445] The flow of the identification process in the first embodiment will be described with reference to FIG.

[0446] Step 1:

[0447] A user accesses the system using a terminal and enters the required information (name, age, email address, etc.) on the new registration screen. The input data is sent from the terminal to the server. The server performs an initial check of the received information, and if there are no errors, stores it in the database. This creates a user account. Specifically, the data entered in the web form is sent and inserted into the database using an SQL query.

[0448] Step 2:

[0449] After logging in, the user uses the terminal to input the specific details of their dream (e.g., "I want to become a professional soccer player" or "I want to achieve this in 10 years"). The details entered are sent from the terminal to the server, which stores this information in a database. This data becomes the basis for generating subsequent steps. Specifically, the input form accepts the details of the dream, sends them to the server as a POST request, and stores them in the database.

[0450] Step 3:

[0451] The server uses a generative AI model to analyze the received dream details. The input data is the user's dream details, and data processing and calculations are performed to generate back-calculation steps. Software used includes Python's Pandas and Scikit-learn. This outputs specific learning methods and steps (e.g., strengthening basic physical fitness, technique training, joining a local club, etc.). These steps are stored in a database and provided later.

[0452] Step 4:

[0453] The server sends the generated steps to the terminal, where the user confirms them. First, the server reads the generated steps from the database and sends them to the terminal. The terminal displays the received steps on the user interface, and when the user presses the confirmation button, a message that confirmation has been completed is sent to the server. Specifically, the server generates a UI for displaying the steps and triggers a confirmation action.

[0454] Step 5:

[0455] The server searches the database for appropriate experts based on the user's dream and performs matching. The input data is the details of the user's dream, and based on this, the expert information is filtered and narrowed down. A matching algorithm is used to generate a list of applicable experts and notify the device. This algorithm uses Python and SQL. Specifically, it narrows down the experts based on the matching policy and generates a list.

[0456] Step 6:

[0457] The user's daily progress (e.g., training content and achievement level) is entered into the terminal and sent from the terminal to the server. The server saves the received progress data in a database and prepares it for analysis. The input data is the progress, and the saved data is used for later analysis and feedback generation. Specifically, the data is accepted in the progress input form and saved.

[0458] Step 7:

[0459] The server analyzes the progress data and generates feedback. A Python script is used for the analysis, and the progress data is analyzed in detail to output specific feedback. For example, specific advice such as "Since your basic physical strength has improved, next you should focus on technique training" is generated. The analysis results are saved in a database and later notified to the user. Specific operations include running the analysis script and generating feedback.

[0460] Step 8:

[0461] The server generates feedback and sends it to the device for confirmation by the user. The feedback is read from the database and sent to the device. The device displays the feedback on the user interface, and once confirmed by the user, the information is sent to the server. Specifically, the system generates a UI for displaying the feedback and triggers a confirmation action.

[0462] (Application example 1)

[0463] 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."

[0464] Conventional dream realization support systems lack specific support for users to realize their dreams, making it difficult for users to visually and effectively understand and manage the steps required to make their goals a reality. In addition, matching with experts and progress management are often complex and time-consuming, hindering efficient goal achievement.

[0465] 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.

[0466] In this invention, the server includes a means for a user with a dream to input his / her profile and details of the dream, a means for generating backward calculation steps for realizing the user's dream, a means for matching the user with experts necessary for realizing the dream, a means for managing and providing feedback on the user's progress, and a means for the user to access a virtual store and receive support for realizing the dream via a smartphone. This enables the user to efficiently and effectively break down their dream into specific steps and manage their progress toward achieving their goal with support from experts.

[0467] "Dream details" refers to the specific content of the goals and hopes that the user wants to achieve.

[0468] "Backward calculation steps" refers to a series of specific methods or plans derived by working backwards through the processes required by the user to achieve their goal.

[0469] An "expert" is someone who has advanced knowledge and practical experience in a field related to the user's dreams and goals.

[0470] "Matching" refers to the process of matching users with appropriate experts.

[0471] "Progress" refers to the activities that a user has undertaken to achieve a goal and the resulting status.

[0472] "Feedback" refers to the provision of information to give support and advice on the user's progress.

[0473] A "virtual store" refers to a virtual sales and service space built on the Internet.

[0474] "Smartphone" refers to a portable communication device that can connect to the Internet and use a variety of applications.

[0475] "Server" refers to a computer system that processes requests from multiple users and stores and provides various data.

[0476] A "generative AI model" refers to an algorithm or system that uses artificial intelligence techniques to automatically generate new data or information.

[0477] "Prompt" means text containing instructions or questions used as input to a generative AI model.

[0478] The following describes an embodiment of the present invention. This system provides the steps and support necessary for users to realize their dreams, and the elements of the server, terminal, and user work together.

[0479] First, a user accesses the system using a smartphone and enters their profile information (such as name, age, and details of their dreams) on the new registration screen. This information is sent from the device to the server, which receives it and stores it in a database. Since the server manages a large amount of user data, it is possible to use a relational database such as SQLite or MySQL.

[0480] Next, the user enters details of their dream (for example, "I want to become a professional soccer player" or "I want to start a successful business"). The device sends this information to the server, which then begins the process of calculating backward the steps toward realizing the dream. Specifically, the server uses a generative AI model to generate specific steps to realize the user's dream based on the prompt. These steps are generated using past data and expert knowledge.

[0481] For example, if a user aims to become a professional soccer player, the server will suggest detailed steps such as strengthening basic physical strength, technique training, joining a local club, etc. These steps are sent from the server to the device and can be visually confirmed by the user on their smartphone.

[0482] The system also includes a function that searches a database for appropriate experts based on the user's dreams and matches them with the right person. For example, a user aspiring to become a professional soccer player can be matched with a local soccer coach. The server notifies the user of the matching results, and the user can receive specific advice from the expert through messaging or online meetings. Platforms such as Zoom and Microsoft Teams can be used for messaging and online meetings.

[0483] The app also provides a function for managing the user's progress. Users enter their daily progress (for example, training content and achievement level) into their smartphone, and this information is sent to the server and stored in a database. The server uses this information to analyze the progress and generate feedback to provide to the user. For example, this may include specific advice such as, "Since your basic physical strength has improved, next you should focus on technique training."

[0484] Through this collaboration, the system provides comprehensive support for users to turn their dreams into real goals and achieve them.

[0485] Prompt Sentence Examples

[0486] User's dream: "Professional soccer player" Age: 22

[0487] Suggest steps that this user can take to achieve their dream.

[0488] Step 1: Strengthen your basic physical strength.

[0489] Step 2: Do technique training.

[0490] Step 3: Join a local club.

[0491] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[0492] Step 1:

[0493] A user accesses the system using a smartphone and enters their profile information (such as name, age, and details of their dream) on the new registration screen. This input data (name, age, and details of their dream) is sent from the user's device to the server. The server stores the received information in an SQLite or MySQL database. This records the user's basic information in the database.

[0494] Step 2:

[0495] A user enters specific details of their dream into the system via their smartphone (e.g., "I want to be a professional soccer player"). The device sends this information to the server. The server receives this data and generates a prompt for the generative AI model. This prompt is generated based on the user's dream. For example, "User's dream: "Professional soccer player" Age: 22 Please suggest steps for this user to achieve their dream."

[0496] Step 3:

[0497] The server uses a generative AI model to generate specific steps to realize the user's dream based on the prompt text. The generative AI model utilizes past data and expert knowledge to generate reverse-calculation steps (e.g., strengthening basic physical strength, performing technique training, etc.) that correspond to the user's dream. This step data is stored on the server, and the generated steps are sent to the device. The user can visually check these steps on their smartphone.

[0498] Step 4:

[0499] The server searches the database for suitable experts based on the user's dreams and lists candidates. For example, if a user aims to become a professional soccer player, the server searches for local soccer coaches. Expert information is sent from the server to the user's device, and the user can check the matching information with the experts on their smartphone.

[0500] Step 5:

[0501] Users can initiate messaging with experts and schedule online meetings using their smartphones, and the server can use platforms such as Zoom and Microsoft Teams to facilitate this. Through messaging and online meetings, users can receive specific advice and guidance from experts.

[0502] Step 6:

[0503] Users enter their daily progress (e.g., training content and achievement level) into their smartphones and send that information to the server. The server stores the received progress data in a database and analyzes the progress. Based on the analysis results, the server generates feedback and provides specific advice to the user (e.g., "Your basic physical strength has improved, so next you should focus on technique training"). The feedback is sent to the smartphone, where the user can check it.

[0504] Through these steps, the system provides comprehensive support for users to turn their dreams into real goals and achieve them.

[0505] 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.

[0506] The following describes an embodiment of the present invention. This system provides users with the steps and support they need to realize their dreams, and the various elements of the system, including the server, the terminal, and the user, work together. The system also incorporates an emotion engine that recognizes the user's emotions and customizes feedback based on those emotions.

[0507] First, a user accesses the system using a terminal and enters their profile information (name, age, type of dream, etc.) on the new registration screen. This information is sent from the terminal to the server, which receives it and stores it in a database.

[0508] Next, the user enters details of their dream (for example, "I want to become a professional soccer player" or "I want to achieve this in 10 years"). The device sends this information to the server, and the system begins the process of calculating backward the steps toward realizing the dream. Specifically, the server generates steps to realize the user's dream based on expert knowledge and past data. These generated steps include the necessary learning methods, skills, training plans, etc. depending on the content.

[0509] For example, if a user aims to become a professional soccer player, the server will suggest specific steps such as strengthening basic physical strength, technique training, joining a local club, etc. The server then sends these steps to the user's device and displays them to the user, allowing the user to visually confirm the plan for achieving their dream.

[0510] The system also has a matching function with experts. Based on the user's dreams, the server searches the database for an appropriate expert and matches them. For example, a user aiming to become a professional soccer player can be matched with a local soccer coach. The server notifies the device of this, and the user can receive specific advice from the expert through messaging or online meetings.

[0511] In addition, the system also provides a function for managing the user's progress. The user enters their daily progress (e.g., training content and achievement level) into the device, and this information is sent to the server and stored in a database. The server then analyzes the progress based on this information and generates feedback to provide to the user. For example, this may include specific advice such as, "Since your basic physical strength has improved, next you should focus on technique training."

[0512] Another important feature is an emotion engine that recognizes the user's emotions. The emotion engine analyzes emotions from the user's input and behavioral data, and customizes the feedback it provides based on that analysis. For example, if it determines that the user is losing motivation, it adjusts the feedback and provides advice to help them regain their motivation. The emotion engine can also optimize expert matching based on emotions, selecting experts who can provide psychological support to the user.

[0513] This allows the system to provide comprehensive support to help users turn their dreams into real goals and achieve them, and also provides customized assistance that takes into account the user's emotions.

[0514] The processing flow will be explained below.

[0515] Step 1:

[0516] The user opens the new registration screen on their device and enters their profile information (name, age, type of dream, etc.).

[0517] Step 2:

[0518] The device transmits the entered profile information to the server.

[0519] Step 3:

[0520] The server receives the submitted profile information and stores it in a database.

[0521] Step 4:

[0522] The user inputs the details of the dream (specific details of the dream, deadline for achieving it, etc.) into the terminal.

[0523] Step 5:

[0524] The device sends the entered dream details to the server.

[0525] Step 6:

[0526] The server receives the details of the dream submitted and generates back-calculation steps based on expert knowledge and past data.

[0527] Step 7:

[0528] The server transmits the generated reverse calculation steps to the terminal and displays them to the user.

[0529] Step 8:

[0530] The user checks the reverse calculation steps displayed on the device and creates a specific action plan.

[0531] Step 9:

[0532] The server searches the database for relevant experts based on the user's dream.

[0533] Step 10:

[0534] The server matches the relevant expert information with the user and notifies the terminal.

[0535] Step 11:

[0536] Users can use their devices to message and meet online with experts.

[0537] Step 12:

[0538] The user inputs their daily progress (training content, achievement level, etc.) into the terminal.

[0539] Step 13:

[0540] The terminal transmits the input progress information to the server.

[0541] Step 14:

[0542] The server receives the progress information and stores it in a database.

[0543] Step 15:

[0544] The server analyzes your progress and generates next steps and advice.

[0545] Step 16:

[0546] The server generates feedback and sends it to the terminal for confirmation by the user.

[0547] Step 17:

[0548] The emotion engine analyzes user input and behavioral data to recognize emotions.

[0549] Step 18:

[0550] The emotion engine re-customizes feedback based on the perceived emotion.

[0551] Step 19:

[0552] An emotion engine generates next steps and advice that take into account the user's emotional state.

[0553] Step 20:

[0554] The device displays customized feedback and advice to the user.

[0555] For example, if a user inputs their dream of becoming a professional soccer player, the server will generate and display steps such as "strengthening basic physical fitness," "technique training," and "joining a local club" as back-calculation steps. The server then matches the user with an appropriate soccer coach and notifies the user. Using progress data and the emotion engine, the engine can detect if the user's motivation is declining during training and adjust its support advice, providing feedback such as "try a new training method."

[0556] Example 2

[0557] 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."

[0558] Previous systems made it difficult for users to receive specific steps toward realizing their dreams or ongoing support from experts. Furthermore, the system did not adequately optimize feedback based on users' emotions and progress, often resulting in a loss of motivation and failure to achieve their goals. This resulted in a lack of effective support for users to turn their dreams into real goals.

[0559] 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.

[0560] In this invention, the server includes means for a user with a dream to input his / her profile and details of the dream, means for generating back-calculation steps for realizing the user's dream, means for matching the user with experts necessary for realizing the dream, means for managing and providing feedback on the user's progress, and means for analyzing the user's emotions and customizing feedback based on the analysis results. This enables the user to make a plan for realizing their dream through specific and effective steps, and further enables the user to move forward toward achieving their goal while maintaining motivation through feedback according to their emotions.

[0561] "Profile information" refers to basic information about a user, such as the user's name, age, and type of dream.

[0562] "Dream details" refers to specific information about the goals or dreams that the user wants to achieve.

[0563] "Means for generating back-calculation steps" refers to the system's function of back-calculating and generating the steps necessary for the user to achieve their goal based on expert knowledge and past data.

[0564] "Means for matching with experts" refers to the system's function of searching for appropriate experts based on the user's dreams and goals and matching them with the user.

[0565] "Means for managing and providing feedback on progress" refers to the system's functionality for collecting and analyzing users' daily progress data and providing appropriate feedback based on that data.

[0566] "Means for analyzing emotions and customizing feedback" refers to the system's function of analyzing emotions from user input and behavioral data, and customizing the content of feedback based on the analysis results.

[0567] "Generative AI model" refers to an artificial intelligence model used to generate optimal steps and feedback based on user input and other data.

[0568] A "prompt sentence" refers to an instruction sentence input to a generative AI model.

[0569] The system of the present invention provides users with the steps and support they need to realize their dreams, and the various elements of the system, including the server, terminal, and user, work in coordination. The system also incorporates an emotion engine that recognizes the user's emotions and customizes feedback based on those emotions.

[0570] First, a user accesses the system using a terminal and enters their profile information (name, age, type of dream, etc.) on the new registration screen. This information is sent from the terminal to the server, which receives it and stores it in a database.

[0571] Next, the user enters details of their dream (for example, "I want to become a professional soccer player" or "I want to achieve this in 10 years"). The device sends this information to the server, and the system begins the process of calculating backward the steps toward realizing the dream. Specifically, the server generates steps to realize the user's dream based on expert knowledge and past data. These generated steps include the necessary learning methods, skills, training plans, etc. depending on the content.

[0572] For example, if a user aims to become a professional soccer player, the server will suggest specific steps such as strengthening basic physical strength, technique training, joining a local club, etc. The server then sends these steps to the user's device and displays them to the user, allowing the user to visually confirm the plan for achieving their dream.

[0573] The system also has a matching function with experts. Based on the user's dreams, the server searches the database for an appropriate expert and matches them. For example, a user aiming to become a professional soccer player can be matched with a local soccer coach. The server notifies the device of this, and the user can receive specific advice from the expert through messaging or online meetings.

[0574] In addition, the system also provides a function for managing the user's progress. The user enters their daily progress (e.g., training content and achievement level) into the device, and this information is sent to the server and stored in a database. The server then analyzes the progress based on this information and generates feedback to provide to the user. For example, this may include specific advice such as, "Since your basic physical strength has improved, next you should focus on technique training."

[0575] Another important feature is an emotion engine that recognizes the user's emotions. The emotion engine analyzes emotions from the user's input and behavioral data, and customizes the feedback it provides based on that analysis. For example, if it determines that the user is losing motivation, it adjusts the feedback and provides advice to help them regain their motivation. The emotion engine can also optimize expert matching based on emotions, selecting experts who can provide psychological support to the user.

[0576] As a concrete example, consider a user aiming to become a professional soccer player. The user uses a device to input, "I want to become a professional soccer player, and I would like to achieve this in 10 years." The device sends this information to a server, which generates steps such as strengthening basic physical strength, technique training, and joining a local club. The server sends these steps to the device, and the user confirms the specific plan. The server searches for local soccer coaches and matches them with the user. The user inputs their progress into the device, and the server analyzes the progress data and provides feedback such as, "Your basic physical strength has improved, so next you should focus on technique training." The emotion engine detects that the user's motivation is declining and provides feedback such as, "You seem to be losing motivation recently. Why don't you try a new training method?"

[0577] Example prompt for a generative AI model:

[0578] "Please tell me the specific steps I need to take to become a professional soccer player. I would like to achieve this in 10 years."

[0579] This allows the system to provide comprehensive support to help users turn their dreams into real goals and achieve them, and also provides customized assistance that takes into account the user's emotions.

[0580] The flow of the identification process in the second embodiment will be described with reference to FIG.

[0581] Step 1:

[0582] Entering profile information and registering

[0583] The user accesses the system using a terminal and opens the new registration screen.

[0584] Users enter their profile information (name, age, type of dream, etc.).

[0585] The terminal transmits the input information to the server.

[0586] The server stores the received information in a database.

[0587] Input: User profile information (name, age, type of dream, etc.)

[0588] Output: User profile information stored in the database

[0589] Specific operation: The terminal obtains the entered profile information and sends it to the server via the network, and the server inserts it into the SQL database.

[0590] Step 2:

[0591] Enter detailed information about your dream

[0592] The user enters details of their dream (such as "I want to be a professional soccer player" or "I want to achieve this in 10 years") into the device.

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

[0594] The server stores the received information in a database.

[0595] Input: User's dream details

[0596] Output: detailed dream information stored in the database

[0597] Specific operation: The device displays a form for entering details of the dream, captures the information entered by the user, sends it to the server, and the server stores it in a database.

[0598] Step 3:

[0599] Step Generation

[0600] Based on the detailed information of the dream received, the server uses a generative AI model to generate back-calculation steps based on expert knowledge and past data.

[0601] Input: User's dream details

[0602] Output: Generated back-calculation steps

[0603] Specific operation: The server inputs detailed information about the dream as prompts to the generated AI model, processes the specific steps (basic physical strength training, technique training, etc.) generated by the AI ​​model, and outputs the results.

[0604] Step 4:

[0605] Viewing Steps

[0606] The server transmits the generated steps to the terminal.

[0607] The terminal displays this to the user.

[0608] Input: Generated steps

[0609] Output: The steps that are displayed to the user

[0610] Specific operation: The server sends the generated steps to the terminal as JSON format data, and the terminal generates a UI to visually display this.

[0611] Step 5:

[0612] Matching with experts

[0613] The server searches the database for suitable experts based on the user's dreams.

[0614] The server notifies the terminal of the search results.

[0615] Users can use the device to message and meet online with experts.

[0616] Input: User's dream details, expert database

[0617] Output: Matched expert information

[0618] Specific operation: The server executes a search query to extract suitable experts from the expert database, sends the extracted information to the terminal, and the terminal displays the list of experts.

[0619] Step 6:

[0620] Track progress and generate feedback

[0621] Users enter their daily progress (training content and achievement level) into the terminal.

[0622] The terminal transmits the input progress information to the server.

[0623] The server analyzes the progress data and generates feedback.

[0624] The server sends the generated feedback to the terminal and displays it to the user.

[0625] Input: User progress information

[0626] Output: Generated feedback

[0627] Specific operation: The terminal displays a form for inputting user progress information, sends the input data to the server, and the server uses an analysis algorithm to generate feedback and sends it to the terminal.

[0628] Step 7:

[0629] Customized feedback with emotion engine

[0630] The emotion engine analyzes emotions from user input and behavioral data.

[0631] The emotion engine customizes feedback based on the analysis results.

[0632] The server sends customized feedback to the terminal.

[0633] Input: User input and behavioral data

[0634] Output: Customized feedback

[0635] Specific operation: The emotion engine inputs user input and behavioral data into a machine learning model, predicts emotions, generates customized feedback based on the prediction results, and sends it to the device via the server.

[0636] (Application example 2)

[0637] 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."

[0638] The challenge is to efficiently provide users with the steps and support they need to realize their dreams. However, it is difficult to provide customized feedback that takes into account the user's emotional state and progress, and is linked to their real-world activities. Matching users with the right experts is also not easy. It is necessary to solve these challenges and enable users to realize their dreams more effectively.

[0639] The identification process by the identification 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 with a dream to input his or her profile and details of the dream, a means for generating back-calculation steps for realizing the user's dream, a means for matching the user with experts necessary for realizing the dream, a means for managing and providing feedback on the user's progress, a means for recognizing the user's emotions and customizing feedback, and a means for supporting the user in conjunction with activities at a physical store. This makes it possible to provide specific support and feedback customized based on the user's emotional state and progress, and to effectively match the user with experts needed in the process of realizing their dream.

[0640] A "user" is an individual who uses the system to realize their dreams and goals.

[0641] "Profile" is basic information such as the user's name, age, and type of dream.

[0642] "Dream details" is information such as the specific goal the user wants to achieve and the deadline for achieving it.

[0643] "Backward Steps" is a plan that shows, step by step, the specific actions and learning processes required to realize your dreams.

[0644] An "expert" is a professional with extensive knowledge and experience in a particular field.

[0645] "Matching" is the process of searching for and matching the experts and support resources that best suit the user's dreams.

[0646] "Progress" indicates how far the user has progressed toward realizing their dream.

[0647] "Feedback" is advice and evaluation provided based on the user's progress.

[0648] The "emotion engine" is a system component that analyzes the user's emotional state and customizes the feedback content based on that.

[0649] A "physical store" is a physical location that users can visit and that provides in-person assistance and training.

[0650] "Customization" is the process of optimizing the content of assistance and feedback based on the user's individual situation and emotional state.

[0651] The system of this invention is composed of multiple elements that work together to help users realize their dreams. Each element, including the server, terminal, and user, plays an important role, and the emotion engine analyzes the user's emotions and customizes the feedback. Furthermore, collaboration with real stores provides more practical support.

[0652] System Overview

[0653] The system consists of the following key components:

[0654] 1. Means for entering profile and dream details: The user uses the terminal to enter their basic information (name, age, type of dream) and specific dream details.

[0655] 2. Means for generating back-calculation steps: The server uses expert knowledge and past data based on the information entered by the user to back-calculate and present the specific steps necessary to realize the dream.

[0656] 3. Expert matching means: The server searches the database for an appropriate expert and matches the user with the expert.

[0657] 4. Progress management and feedback means: The terminal sends the user's progress data to the server, which analyzes it and generates feedback.

[0658] 5. Emotion Engine: The emotion engine analyzes the user's emotional state and customizes the feedback accordingly.

[0659] 6. Means of linking with real stores: Users can integrate their activities in real stores with plans within the system to help them realize their dreams.

[0660] Program processing overview

[0661] Enter your profile and dream details

[0662] Users access the system using a smartphone or tablet and enter their profile information on the new registration screen. This information is sent from the device to the server and stored in a database. The user then enters details of their dream, which is also sent from the device to the server.

[0663] Generating back calculation steps

[0664] The server uses expert knowledge and past data to generate back-calculation steps based on the received dream information. The generated steps include the necessary learning methods, skills, and training plans.

[0665] Expert Matching

[0666] The server searches the database for appropriate experts based on the user's dream and matches them. For example, if the user's dream is to become a professional soccer player, the server searches for and matches with local soccer coaches. This allows the user to receive specific advice.

[0667] Progress management and feedback

[0668] Users input their daily progress into the device, and that information is sent to the server. The server analyzes the progress and generates feedback. For example, the server may provide specific advice such as, "Your basic fitness has improved, so next you should focus on technique training."

[0669] Emotion Engine

[0670] The emotion engine analyzes the user's input and behavioral data to determine their emotions and customize the feedback. For example, if it determines that the user is losing motivation, it adjusts the feedback and provides advice to help them regain their motivation. It is also possible to optimize expert matching based on emotions.

[0671] Linking with real stores

[0672] Users can access support and training provided in real stores that they can actually visit, which aligns the plans presented in the system with real-world activities, making the realization of dreams more feasible.

[0673] Specific examples

[0674] For example, if a user sets a dream of "becoming a professional soccer player" and uses the app at a physical training gym, if the user enters progress as "participating in basic physical training," the emotion engine will determine this as "high motivation" and provide feedback such as "Great progress! Keep it up!". The app will also match the user with a soccer coach in their area who is best suited to the user.

[0675] Example inputs to a generative AI model:

[0676] "Please suggest the next progress step: Username is Taro Tanaka, age 25, dreams of becoming a professional soccer player. Current progress is participating in basic physical training. Emotional state is highly motivated."

[0677] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[0678] Step 1:

[0679] A user accesses the system using a terminal and enters their profile information (such as name, age, and type of dream) on the new registration screen. The input data is sent from the terminal to the server and stored in a database. This is to provide the user with basic data to personalize the support provided in subsequent steps.

[0680] Step 2:

[0681] The user inputs details of their dream (e.g., "I want to be a professional soccer player" or "I want to achieve this in 10 years") via a device. The device sends this information to the server, which receives it and stores it in a database. This gives the system data to understand the user's specific goals.

[0682] Step 3:

[0683] The server uses expert knowledge and past data to generate back-calculation steps to realize the user's dream. This process retrieves and analyzes relevant information from the database to generate a specific action plan for the user's dream. The output back-calculation steps include the necessary learning methods, skills, and training plans.

[0684] Step 4:

[0685] The server searches the database for suitable experts based on the user's dream and performs matching. The data used is the type of dream and detailed information of the user. The output of this step is a list of experts, which is provided to the user.

[0686] Step 5:

[0687] The server sends the generated back-calculation steps and expert information to the device and displays them to the user, who can then view their progress and receive guidance on how to proceed to the next step. The feedback includes specific instructions and advice on what actions the user should take.

[0688] Step 6:

[0689] The user inputs their daily progress (e.g., training content and achievement level) into the device, and the information is sent to the server and stored in a database. The server analyzes the progress based on this information and generates feedback to provide to the user. The output of the analysis is specific advice based on the progress results.

[0690] Step 7:

[0691] The emotion engine analyzes emotions from the user's input and behavioral data, and customizes the feedback content based on that. The input data is the user's behavioral history and emotional state, and the engine analyzes it to generate optimal feedback. The output is a feedback message that takes emotions into consideration.

[0692] Step 8:

[0693] The user receives support and training provided at a physical store. The device collects progress data, sends it to a server, and stores it in a database. By linking real-world activity data with plans within the system, the system effectively supports the realization of dreams. The output is an integrated support plan that reflects the user's progress.

[0694] 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.

[0695] 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.

[0696] 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.

[0697] [Third embodiment]

[0698] FIG. 5 shows an example of the configuration of a data processing system 310 according to the third embodiment.

[0699] 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.

[0700] 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).

[0701] 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.

[0702] 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.

[0703] 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).

[0704] 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.

[0705] 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.

[0706] 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.

[0707] 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.

[0708] 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.

[0709] 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."

[0710] The following describes an embodiment of the present invention. This system provides the steps and support necessary for users to realize their dreams, and the elements of the server, terminal, and user function in cooperation with each other.

[0711] First, a user accesses the system using a terminal and enters their profile information (name, age, dreams, etc.) on the new registration screen. This information is sent from the terminal to the server, which receives it and stores it in a database.

[0712] Next, the user enters details of their dream (for example, "I want to become a professional soccer player" or "I want to achieve this in 10 years"). The device sends this information to the server, and the system begins the process of calculating backward the steps toward realizing the dream. Specifically, the server generates steps to realize the user's dream based on expert knowledge and past data. These generated steps include the necessary learning methods, skills, training plans, etc. depending on the content.

[0713] For example, if a user aims to become a professional soccer player, the server will suggest specific steps such as strengthening basic physical strength, technique training, joining a local club, etc. The server then sends these steps to the user's device and displays them to the user, allowing the user to visually confirm the plan for achieving their dream.

[0714] The system also has a matching function with experts. Based on the user's dreams, the server searches the database for an appropriate expert and matches them. For example, a user aiming to become a professional soccer player can be matched with a local soccer coach. The server notifies the device of this, and the user can receive specific advice from the expert through messaging or online meetings.

[0715] The app also provides a function for managing the user's progress. The user enters their daily progress (for example, training content and achievement level) into the device, and this information is sent to the server and stored in a database. The server then analyzes the progress based on this information and generates feedback to provide to the user. For example, this may include specific advice such as, "Since your basic fitness has improved, next you should focus on technique training."

[0716] This allows the system to provide comprehensive support for users to turn their dreams into real goals and achieve them.

[0717] The processing flow will be explained below.

[0718] Step 1:

[0719] The user opens the new registration screen on their device and enters their profile information (name, age, type of dream, etc.).

[0720] Step 2:

[0721] The device transmits the entered profile information to the server.

[0722] Step 3:

[0723] The server receives the submitted profile information and stores it in a database.

[0724] Step 4:

[0725] The user inputs the details of the dream (specific details of the dream, deadline for achieving it, etc.) into the terminal.

[0726] Step 5:

[0727] The device sends the entered dream details to the server.

[0728] Step 6:

[0729] The server receives the details of the dream submitted and generates back-calculation steps based on expert knowledge and past data.

[0730] Step 7:

[0731] The server transmits the generated reverse calculation steps to the terminal and displays them to the user.

[0732] Step 8:

[0733] The user checks the reverse calculation steps displayed on the device and creates a specific action plan.

[0734] Step 9:

[0735] The server searches the database for relevant experts based on the user's dream.

[0736] Step 10:

[0737] The server matches the relevant expert information with the user and notifies the terminal.

[0738] Step 11:

[0739] Users can use their devices to message and meet online with experts.

[0740] Step 12:

[0741] The user inputs their daily progress (training content, achievement level, etc.) into the terminal.

[0742] Step 13:

[0743] The terminal transmits the input progress information to the server.

[0744] Step 14:

[0745] The server receives the progress information and stores it in a database.

[0746] Step 15:

[0747] The server analyzes your progress and generates next steps and advice.

[0748] Step 16:

[0749] The server generates feedback and sends it to the terminal for confirmation by the user.

[0750] This series of processes provides a system that allows users to convert their dreams into concrete action plans and manage their progress with the support of experts.

[0751] Example 1

[0752] 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."

[0753] In modern society, many people have dreams and goals, but lack the concrete steps and support to make them a reality. It is also often difficult to access the experts and information needed to make dreams a reality. As a result, individuals are prone to setbacks in the process of pursuing their dreams, and often achievable dreams end up unrealized.

[0754] 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.

[0755] In this invention, the server includes means for a user to input their profile and details of their dream, means for transmitting the information to the server and storing it in a database, means for generating back-calculation steps for realizing the user's dream, means for providing the generated steps to a terminal and confirming them, means for matching the user with experts necessary for realizing the dream, means for notifying the terminal of and displaying the list of experts, and means for managing and providing feedback on the user's progress, making it easier for users to take specific steps toward realizing their dreams and enabling them to efficiently progress toward achieving their goals with the support of experts.

[0756] "User" refers to any individual or entity that uses the System.

[0757] "Profile" refers to data including a User's name, age, email address and other basic personal information.

[0758] "Dreams" refer to goals and hopes that users want to achieve in the future.

[0759] "Server" refers to a computer system for receiving user information and storing and analyzing data.

[0760] "Database" refers to a system that manages and stores data such as user profile information, dream details, and progress.

[0761] "Steps" refer to a series of specific actions or plans required to make a user's dream a reality.

[0762] "Backward calculation steps" refer to specific steps determined by calculating backwards the path from the user's final goal to the present.

[0763] An "expert" is an individual or organization that has advanced knowledge and skills in a particular field and can provide support to help users realize their dreams.

[0764] "Matching" refers to the process of searching for and suggesting suitable experts based on the user's dreams and goals.

[0765] "Progress" refers to data and indicators that show how far a user is moving toward their dream.

[0766] "Feedback" refers to advice and suggestions provided based on the user's progress.

[0767] The following describes an embodiment of the present invention. This system provides the steps and support necessary for users to realize their dreams, and the elements of the server, terminal, and user function in cooperation with each other.

[0768] First, the user accesses the system using a terminal and enters the required information (name, age, email address, etc.) on the new registration screen. The hardware required for this includes personal computers, smartphones, and tablet terminals. The terminal sends this information to the server, which then stores the received information in a database. The widely used database system is MySQL.

[0769] After logging in, users enter details of their dreams (e.g., "I want to become a professional soccer player" or "I want to achieve this in 10 years"). The device then sends this information to the server, which then uses a generative AI model to analyze the data based on the details of the dream received. Using data analysis tools such as Python's Pandas and Scikit-learn, the server utilizes past data and expert knowledge to generate specific steps (e.g., strengthening basic physical fitness, technical training, joining a local club, etc.) to help the user realize their dream.

[0770] The generated steps are sent from the server to the device, where the user can visually confirm them. For example, if a user sets the goal of becoming a professional soccer player, the system will suggest specific steps such as "running every day," "technique training every week," and "playing in a match once a month."

[0771] The system also includes a matching function with experts. Based on the user's dreams and goals, the server searches a database for appropriate experts and matches them with the user. Messaging platforms (e.g., Slack API) and online meeting platforms (e.g., Zoom API) are used to contact the experts. For example, a user aiming to become a professional soccer player will be suggested a local soccer coach. The server notifies the device of this, and the user can receive specific advice through messaging or online meetings with the expert.

[0772] To manage the user's progress, the user inputs their daily training details and achievements into the device. The device then sends this information to the server, which stores it in a database and analyzes the progress data to generate feedback. For example, the server can provide specific advice such as, "Since your basic fitness has improved, next you should focus on technique training." The analysis is performed using a Python script that is automatically executed after the database is updated.

[0773] Specific examples

[0774] If a user sets a dream of "becoming a professional soccer player," the following steps will be generated:

[0775] 1. Daily Running

[0776] 2. Weekly Technique Training

[0777] 3. Participate in a match once a month

[0778] Example prompts for generative AI models

[0779] An example of a prompt is as follows:

[0780] "If a user wants to become a professional soccer player, please explain the necessary steps in detail. Starting with strengthening basic physical strength, please also explain the subsequent training content and how to match them with experts."

[0781] The flow of the identification process in the first embodiment will be described with reference to FIG.

[0782] Step 1:

[0783] A user accesses the system using a terminal and enters the required information (name, age, email address, etc.) on the new registration screen. The input data is sent from the terminal to the server. The server performs an initial check of the received information, and if there are no errors, stores it in the database. This creates a user account. Specifically, the data entered in the web form is sent and inserted into the database using an SQL query.

[0784] Step 2:

[0785] After logging in, the user uses the terminal to input the specific details of their dream (e.g., "I want to become a professional soccer player" or "I want to achieve this in 10 years"). The details entered are sent from the terminal to the server, which stores this information in a database. This data becomes the basis for generating subsequent steps. Specifically, the input form accepts the details of the dream, sends them to the server as a POST request, and stores them in the database.

[0786] Step 3:

[0787] The server uses a generative AI model to analyze the received dream details. The input data is the user's dream details, and data processing and calculations are performed to generate back-calculation steps. Software used includes Python's Pandas and Scikit-learn. This outputs specific learning methods and steps (e.g., strengthening basic physical fitness, technique training, joining a local club, etc.). These steps are stored in a database and provided later.

[0788] Step 4:

[0789] The server sends the generated steps to the terminal, where the user confirms them. First, the server reads the generated steps from the database and sends them to the terminal. The terminal displays the received steps on the user interface, and when the user presses the confirmation button, a message that confirmation has been completed is sent to the server. Specifically, the server generates a UI for displaying the steps and triggers a confirmation action.

[0790] Step 5:

[0791] The server searches the database for appropriate experts based on the user's dream and performs matching. The input data is the details of the user's dream, and based on this, the expert information is filtered and narrowed down. A matching algorithm is used to generate a list of applicable experts and notify the device. This algorithm uses Python and SQL. Specifically, it narrows down the experts based on the matching policy and generates a list.

[0792] Step 6:

[0793] The user's daily progress (e.g., training content and achievement level) is entered into the terminal and sent from the terminal to the server. The server saves the received progress data in a database and prepares it for analysis. The input data is the progress, and the saved data is used for later analysis and feedback generation. Specifically, the data is accepted in the progress input form and saved.

[0794] Step 7:

[0795] The server analyzes the progress data and generates feedback. A Python script is used for the analysis, and the progress data is analyzed in detail to output specific feedback. For example, specific advice such as "Since your basic physical strength has improved, next you should focus on technique training" is generated. The analysis results are saved in a database and later notified to the user. Specific operations include running the analysis script and generating feedback.

[0796] Step 8:

[0797] The server generates feedback and sends it to the device for confirmation by the user. The feedback is read from the database and sent to the device. The device displays the feedback on the user interface, and once confirmed by the user, the information is sent to the server. Specifically, the system generates a UI for displaying the feedback and triggers a confirmation action.

[0798] (Application example 1)

[0799] 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."

[0800] Conventional dream realization support systems lack specific support for users to realize their dreams, making it difficult for users to visually and effectively understand and manage the steps required to make their goals a reality. In addition, matching with experts and progress management are often complex and time-consuming, hindering efficient goal achievement.

[0801] 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.

[0802] In this invention, the server includes a means for a user with a dream to input his / her profile and details of the dream, a means for generating backward calculation steps for realizing the user's dream, a means for matching the user with experts necessary for realizing the dream, a means for managing and providing feedback on the user's progress, and a means for the user to access a virtual store and receive support for realizing the dream via a smartphone. This enables the user to efficiently and effectively break down their dream into specific steps and manage their progress toward achieving their goal with support from experts.

[0803] "Dream details" refers to the specific content of the goals and hopes that the user wants to achieve.

[0804] "Backward calculation steps" refers to a series of specific methods or plans derived by working backwards through the processes required by the user to achieve their goal.

[0805] An "expert" is someone who has advanced knowledge and practical experience in a field related to the user's dreams and goals.

[0806] "Matching" refers to the process of matching users with appropriate experts.

[0807] "Progress" refers to the activities that a user has undertaken to achieve a goal and the resulting status.

[0808] "Feedback" refers to the provision of information to give support and advice on the user's progress.

[0809] A "virtual store" refers to a virtual sales and service space built on the Internet.

[0810] "Smartphone" refers to a portable communication device that can connect to the Internet and use a variety of applications.

[0811] "Server" refers to a computer system that processes requests from multiple users and stores and provides various data.

[0812] A "generative AI model" refers to an algorithm or system that uses artificial intelligence techniques to automatically generate new data or information.

[0813] "Prompt" means text containing instructions or questions used as input to a generative AI model.

[0814] The following describes an embodiment of the present invention. This system provides the steps and support necessary for users to realize their dreams, and the elements of the server, terminal, and user work together.

[0815] First, a user accesses the system using a smartphone and enters their profile information (such as name, age, and details of their dreams) on the new registration screen. This information is sent from the device to the server, which receives it and stores it in a database. Since the server manages a large amount of user data, it is possible to use a relational database such as SQLite or MySQL.

[0816] Next, the user enters details of their dream (for example, "I want to become a professional soccer player" or "I want to start a successful business"). The device sends this information to the server, which then begins the process of calculating backward the steps toward realizing the dream. Specifically, the server uses a generative AI model to generate specific steps to realize the user's dream based on the prompt. These steps are generated using past data and expert knowledge.

[0817] For example, if a user aims to become a professional soccer player, the server will suggest detailed steps such as strengthening basic physical strength, technique training, joining a local club, etc. These steps are sent from the server to the device and can be visually confirmed by the user on their smartphone.

[0818] The system also includes a function that searches a database for appropriate experts based on the user's dreams and matches them with the right person. For example, a user aspiring to become a professional soccer player can be matched with a local soccer coach. The server notifies the user of the matching results, and the user can receive specific advice from the expert through messaging or online meetings. Platforms such as Zoom and Microsoft Teams can be used for messaging and online meetings.

[0819] The app also provides a function for managing the user's progress. Users enter their daily progress (for example, training content and achievement level) into their smartphone, and this information is sent to the server and stored in a database. The server uses this information to analyze the progress and generate feedback to provide to the user. For example, this may include specific advice such as, "Since your basic physical strength has improved, next you should focus on technique training."

[0820] Through this collaboration, the system provides comprehensive support for users to turn their dreams into real goals and achieve them.

[0821] Prompt Sentence Examples

[0822] User's dream: "Professional soccer player" Age: 22

[0823] Suggest steps that this user can take to achieve their dream.

[0824] Step 1: Strengthen your basic physical strength.

[0825] Step 2: Do technique training.

[0826] Step 3: Join a local club.

[0827] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[0828] Step 1:

[0829] A user accesses the system using a smartphone and enters their profile information (such as name, age, and details of their dream) on the new registration screen. This input data (name, age, and details of their dream) is sent from the user's device to the server. The server stores the received information in an SQLite or MySQL database. This records the user's basic information in the database.

[0830] Step 2:

[0831] A user enters specific details of their dream into the system via their smartphone (e.g., "I want to be a professional soccer player"). The device sends this information to the server. The server receives this data and generates a prompt for the generative AI model. This prompt is generated based on the user's dream. For example, "User's dream: "Professional soccer player" Age: 22 Please suggest steps for this user to achieve their dream."

[0832] Step 3:

[0833] The server uses a generative AI model to generate specific steps to realize the user's dream based on the prompt text. The generative AI model utilizes past data and expert knowledge to generate reverse-calculation steps (e.g., strengthening basic physical strength, performing technique training, etc.) that correspond to the user's dream. This step data is stored on the server, and the generated steps are sent to the device. The user can visually check these steps on their smartphone.

[0834] Step 4:

[0835] The server searches the database for suitable experts based on the user's dreams and lists candidates. For example, if a user aims to become a professional soccer player, the server searches for local soccer coaches. Expert information is sent from the server to the user's device, and the user can check the matching information with the experts on their smartphone.

[0836] Step 5:

[0837] Users can initiate messaging with experts and schedule online meetings using their smartphones, and the server can use platforms such as Zoom and Microsoft Teams to facilitate this. Through messaging and online meetings, users can receive specific advice and guidance from experts.

[0838] Step 6:

[0839] Users enter their daily progress (e.g., training content and achievement level) into their smartphones and send that information to the server. The server stores the received progress data in a database and analyzes the progress. Based on the analysis results, the server generates feedback and provides specific advice to the user (e.g., "Your basic physical strength has improved, so next you should focus on technique training"). The feedback is sent to the smartphone, where the user can check it.

[0840] Through these steps, the system provides comprehensive support for users to turn their dreams into real goals and achieve them.

[0841] 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.

[0842] The following describes an embodiment of the present invention. This system provides users with the steps and support they need to realize their dreams, and the various elements of the system, including the server, the terminal, and the user, work together. The system also incorporates an emotion engine that recognizes the user's emotions and customizes feedback based on those emotions.

[0843] First, a user accesses the system using a terminal and enters their profile information (name, age, type of dream, etc.) on the new registration screen. This information is sent from the terminal to the server, which receives it and stores it in a database.

[0844] Next, the user enters details of their dream (for example, "I want to become a professional soccer player" or "I want to achieve this in 10 years"). The device sends this information to the server, and the system begins the process of calculating backward the steps toward realizing the dream. Specifically, the server generates steps to realize the user's dream based on expert knowledge and past data. These generated steps include the necessary learning methods, skills, training plans, etc. depending on the content.

[0845] For example, if a user aims to become a professional soccer player, the server will suggest specific steps such as strengthening basic physical strength, technique training, joining a local club, etc. The server then sends these steps to the user's device and displays them to the user, allowing the user to visually confirm the plan for achieving their dream.

[0846] The system also has a matching function with experts. Based on the user's dreams, the server searches the database for an appropriate expert and matches them. For example, a user aiming to become a professional soccer player can be matched with a local soccer coach. The server notifies the device of this, and the user can receive specific advice from the expert through messaging or online meetings.

[0847] In addition, the system also provides a function for managing the user's progress. The user enters their daily progress (e.g., training content and achievement level) into the device, and this information is sent to the server and stored in a database. The server then analyzes the progress based on this information and generates feedback to provide to the user. For example, this may include specific advice such as, "Since your basic physical strength has improved, next you should focus on technique training."

[0848] Another important feature is an emotion engine that recognizes the user's emotions. The emotion engine analyzes emotions from the user's input and behavioral data, and customizes the feedback it provides based on that analysis. For example, if it determines that the user is losing motivation, it adjusts the feedback and provides advice to help them regain their motivation. The emotion engine can also optimize expert matching based on emotions, selecting experts who can provide psychological support to the user.

[0849] This allows the system to provide comprehensive support to help users turn their dreams into real goals and achieve them, and also provides customized assistance that takes into account the user's emotions.

[0850] The processing flow will be explained below.

[0851] Step 1:

[0852] The user opens the new registration screen on their device and enters their profile information (name, age, type of dream, etc.).

[0853] Step 2:

[0854] The device transmits the entered profile information to the server.

[0855] Step 3:

[0856] The server receives the submitted profile information and stores it in a database.

[0857] Step 4:

[0858] The user inputs the details of the dream (specific details of the dream, deadline for achieving it, etc.) into the terminal.

[0859] Step 5:

[0860] The device sends the entered dream details to the server.

[0861] Step 6:

[0862] The server receives the details of the dream submitted and generates back-calculation steps based on expert knowledge and past data.

[0863] Step 7:

[0864] The server transmits the generated reverse calculation steps to the terminal and displays them to the user.

[0865] Step 8:

[0866] The user checks the reverse calculation steps displayed on the device and creates a specific action plan.

[0867] Step 9:

[0868] The server searches the database for relevant experts based on the user's dream.

[0869] Step 10:

[0870] The server matches the relevant expert information with the user and notifies the terminal.

[0871] Step 11:

[0872] Users can use their devices to message and meet online with experts.

[0873] Step 12:

[0874] The user inputs their daily progress (training content, achievement level, etc.) into the terminal.

[0875] Step 13:

[0876] The terminal transmits the input progress information to the server.

[0877] Step 14:

[0878] The server receives the progress information and stores it in a database.

[0879] Step 15:

[0880] The server analyzes your progress and generates next steps and advice.

[0881] Step 16:

[0882] The server generates feedback and sends it to the terminal for confirmation by the user.

[0883] Step 17:

[0884] The emotion engine analyzes user input and behavioral data to recognize emotions.

[0885] Step 18:

[0886] The emotion engine re-customizes feedback based on the perceived emotion.

[0887] Step 19:

[0888] An emotion engine generates next steps and advice that take into account the user's emotional state.

[0889] Step 20:

[0890] The device displays customized feedback and advice to the user.

[0891] For example, if a user inputs their dream of becoming a professional soccer player, the server will generate and display steps such as "strengthening basic physical fitness," "technique training," and "joining a local club" as back-calculation steps. The server then matches the user with an appropriate soccer coach and notifies the user. Using progress data and the emotion engine, the engine can detect if the user's motivation is declining during training and adjust its support advice, providing feedback such as "try a new training method."

[0892] Example 2

[0893] 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."

[0894] Previous systems made it difficult for users to receive specific steps toward realizing their dreams or ongoing support from experts. Furthermore, the system did not adequately optimize feedback based on users' emotions and progress, often resulting in a loss of motivation and failure to achieve their goals. This resulted in a lack of effective support for users to turn their dreams into real goals.

[0895] 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.

[0896] In this invention, the server includes means for a user with a dream to input his / her profile and details of the dream, means for generating back-calculation steps for realizing the user's dream, means for matching the user with experts necessary for realizing the dream, means for managing and providing feedback on the user's progress, and means for analyzing the user's emotions and customizing feedback based on the analysis results. This enables the user to make a plan for realizing their dream through specific and effective steps, and further enables the user to move forward toward achieving their goal while maintaining motivation through feedback according to their emotions.

[0897] "Profile information" refers to basic information about a user, such as the user's name, age, and type of dream.

[0898] "Dream details" refers to specific information about the goals or dreams that the user wants to achieve.

[0899] "Means for generating back-calculation steps" refers to the system's function of back-calculating and generating the steps necessary for the user to achieve their goal based on expert knowledge and past data.

[0900] "Means for matching with experts" refers to the system's function of searching for appropriate experts based on the user's dreams and goals and matching them with the user.

[0901] "Means for managing and providing feedback on progress" refers to the system's functionality for collecting and analyzing users' daily progress data and providing appropriate feedback based on that data.

[0902] "Means for analyzing emotions and customizing feedback" refers to the system's function of analyzing emotions from user input and behavioral data, and customizing the content of feedback based on the analysis results.

[0903] "Generative AI model" refers to an artificial intelligence model used to generate optimal steps and feedback based on user input and other data.

[0904] A "prompt sentence" refers to an instruction sentence input to a generative AI model.

[0905] The system of the present invention provides users with the steps and support they need to realize their dreams, and the various elements of the system, including the server, terminal, and user, work in coordination. The system also incorporates an emotion engine that recognizes the user's emotions and customizes feedback based on those emotions.

[0906] First, a user accesses the system using a terminal and enters their profile information (name, age, type of dream, etc.) on the new registration screen. This information is sent from the terminal to the server, which receives it and stores it in a database.

[0907] Next, the user enters details of their dream (for example, "I want to become a professional soccer player" or "I want to achieve this in 10 years"). The device sends this information to the server, and the system begins the process of calculating backward the steps toward realizing the dream. Specifically, the server generates steps to realize the user's dream based on expert knowledge and past data. These generated steps include the necessary learning methods, skills, training plans, etc. depending on the content.

[0908] For example, if a user aims to become a professional soccer player, the server will suggest specific steps such as strengthening basic physical strength, technique training, joining a local club, etc. The server then sends these steps to the user's device and displays them to the user, allowing the user to visually confirm the plan for achieving their dream.

[0909] The system also has a matching function with experts. Based on the user's dreams, the server searches the database for an appropriate expert and matches them. For example, a user aiming to become a professional soccer player can be matched with a local soccer coach. The server notifies the device of this, and the user can receive specific advice from the expert through messaging or online meetings.

[0910] In addition, the system also provides a function for managing the user's progress. The user enters their daily progress (e.g., training content and achievement level) into the device, and this information is sent to the server and stored in a database. The server then analyzes the progress based on this information and generates feedback to provide to the user. For example, this may include specific advice such as, "Since your basic physical strength has improved, next you should focus on technique training."

[0911] Another important feature is an emotion engine that recognizes the user's emotions. The emotion engine analyzes emotions from the user's input and behavioral data, and customizes the feedback it provides based on that analysis. For example, if it determines that the user is losing motivation, it adjusts the feedback and provides advice to help them regain their motivation. The emotion engine can also optimize expert matching based on emotions, selecting experts who can provide psychological support to the user.

[0912] As a concrete example, consider a user aiming to become a professional soccer player. The user uses a device to input, "I want to become a professional soccer player, and I would like to achieve this in 10 years." The device sends this information to a server, which generates steps such as strengthening basic physical strength, technique training, and joining a local club. The server sends these steps to the device, and the user confirms the specific plan. The server searches for local soccer coaches and matches them with the user. The user inputs their progress into the device, and the server analyzes the progress data and provides feedback such as, "Your basic physical strength has improved, so next you should focus on technique training." The emotion engine detects that the user's motivation is declining and provides feedback such as, "You seem to be losing motivation recently. Why don't you try a new training method?"

[0913] Example prompt for a generative AI model:

[0914] "Please tell me the specific steps I need to take to become a professional soccer player. I would like to achieve this in 10 years."

[0915] This allows the system to provide comprehensive support to help users turn their dreams into real goals and achieve them, and also provides customized assistance that takes into account the user's emotions.

[0916] The flow of the identification process in the second embodiment will be described with reference to FIG.

[0917] Step 1:

[0918] Entering profile information and registering

[0919] The user accesses the system using a terminal and opens the new registration screen.

[0920] Users enter their profile information (name, age, type of dream, etc.).

[0921] The terminal transmits the input information to the server.

[0922] The server stores the received information in a database.

[0923] Input: User profile information (name, age, type of dream, etc.)

[0924] Output: User profile information stored in the database

[0925] Specific operation: The terminal obtains the entered profile information and sends it to the server via the network, and the server inserts it into the SQL database.

[0926] Step 2:

[0927] Enter detailed information about your dream

[0928] The user enters details of their dream (such as "I want to be a professional soccer player" or "I want to achieve this in 10 years") into the device.

[0929] The terminal transmits the input information to the server.

[0930] The server stores the received information in a database.

[0931] Input: User's dream details

[0932] Output: detailed dream information stored in the database

[0933] Specific operation: The device displays a form for entering details of the dream, captures the information entered by the user, sends it to the server, and the server stores it in a database.

[0934] Step 3:

[0935] Step Generation

[0936] Based on the detailed information of the dream received, the server uses a generative AI model to generate back-calculation steps based on expert knowledge and past data.

[0937] Input: User's dream details

[0938] Output: Generated back-calculation steps

[0939] Specific operation: The server inputs detailed information about the dream as prompts to the generated AI model, processes the specific steps (basic physical strength training, technique training, etc.) generated by the AI ​​model, and outputs the results.

[0940] Step 4:

[0941] Viewing Steps

[0942] The server transmits the generated steps to the terminal.

[0943] The terminal displays this to the user.

[0944] Input: Generated steps

[0945] Output: The steps that are displayed to the user

[0946] Specific operation: The server sends the generated steps to the terminal as JSON format data, and the terminal generates a UI to visually display this.

[0947] Step 5:

[0948] Matching with experts

[0949] The server searches the database for suitable experts based on the user's dreams.

[0950] The server notifies the terminal of the search results.

[0951] Users can use the device to message and meet online with experts.

[0952] Input: User's dream details, expert database

[0953] Output: Matched expert information

[0954] Specific operation: The server executes a search query to extract suitable experts from the expert database, sends the extracted information to the terminal, and the terminal displays the list of experts.

[0955] Step 6:

[0956] Track progress and generate feedback

[0957] Users enter their daily progress (training content and achievement level) into the terminal.

[0958] The terminal transmits the input progress information to the server.

[0959] The server analyzes the progress data and generates feedback.

[0960] The server sends the generated feedback to the terminal and displays it to the user.

[0961] Input: User progress information

[0962] Output: Generated feedback

[0963] Specific operation: The terminal displays a form for inputting user progress information, sends the input data to the server, and the server uses an analysis algorithm to generate feedback and sends it to the terminal.

[0964] Step 7:

[0965] Customized feedback with emotion engine

[0966] The emotion engine analyzes emotions from user input and behavioral data.

[0967] The emotion engine customizes feedback based on the analysis results.

[0968] The server sends customized feedback to the terminal.

[0969] Input: User input and behavioral data

[0970] Output: Customized feedback

[0971] Specific operation: The emotion engine inputs user input and behavioral data into a machine learning model, predicts emotions, generates customized feedback based on the prediction results, and sends it to the device via the server.

[0972] (Application example 2)

[0973] 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."

[0974] The challenge is to efficiently provide users with the steps and support they need to realize their dreams. However, it is difficult to provide customized feedback that takes into account the user's emotional state and progress, and is linked to their real-world activities. Matching users with the right experts is also not easy. It is necessary to solve these challenges and enable users to realize their dreams more effectively.

[0975] The identification process by the identification 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 with a dream to input his or her profile and details of the dream, a means for generating back-calculation steps for realizing the user's dream, a means for matching the user with experts necessary for realizing the dream, a means for managing and providing feedback on the user's progress, a means for recognizing the user's emotions and customizing feedback, and a means for supporting the user in conjunction with activities at a physical store. This makes it possible to provide specific support and feedback customized based on the user's emotional state and progress, and to effectively match the user with experts needed in the process of realizing their dream.

[0976] A "user" is an individual who uses the system to realize their dreams and goals.

[0977] "Profile" is basic information such as the user's name, age, and type of dream.

[0978] "Dream details" is information such as the specific goal the user wants to achieve and the deadline for achieving it.

[0979] "Backward Steps" is a plan that shows, step by step, the specific actions and learning processes required to realize your dreams.

[0980] An "expert" is a professional with extensive knowledge and experience in a particular field.

[0981] "Matching" is the process of searching for and matching the experts and support resources that best suit the user's dreams.

[0982] "Progress" indicates how far the user has progressed toward realizing their dream.

[0983] "Feedback" is advice and evaluation provided based on the user's progress.

[0984] The "emotion engine" is a system component that analyzes the user's emotional state and customizes the feedback content based on that.

[0985] A "physical store" is a physical location that users can visit and that provides in-person assistance and training.

[0986] "Customization" is the process of optimizing the content of assistance and feedback based on the user's individual situation and emotional state.

[0987] The system of this invention is composed of multiple elements that work together to help users realize their dreams. Each element, including the server, terminal, and user, plays an important role, and the emotion engine analyzes the user's emotions and customizes the feedback. Furthermore, collaboration with real stores provides more practical support.

[0988] System Overview

[0989] The system consists of the following key components:

[0990] 1. Means for entering profile and dream details: The user uses the terminal to enter their basic information (name, age, type of dream) and specific dream details.

[0991] 2. Means for generating back-calculation steps: The server uses expert knowledge and past data based on the information entered by the user to back-calculate and present the specific steps necessary to realize the dream.

[0992] 3. Expert matching means: The server searches the database for an appropriate expert and matches the user with the expert.

[0993] 4. Progress management and feedback means: The terminal sends the user's progress data to the server, which analyzes it and generates feedback.

[0994] 5. Emotion Engine: The emotion engine analyzes the user's emotional state and customizes the feedback accordingly.

[0995] 6. Means of linking with real stores: Users can integrate their activities in real stores with plans within the system to help them realize their dreams.

[0996] Program processing overview

[0997] Enter your profile and dream details

[0998] Users access the system using a smartphone or tablet and enter their profile information on the new registration screen. This information is sent from the device to the server and stored in a database. The user then enters details of their dream, which is also sent from the device to the server.

[0999] Generating back calculation steps

[1000] The server uses expert knowledge and past data to generate back-calculation steps based on the received dream information. The generated steps include the necessary learning methods, skills, and training plans.

[1001] Expert Matching

[1002] The server searches the database for appropriate experts based on the user's dream and matches them. For example, if the user's dream is to become a professional soccer player, the server searches for and matches with local soccer coaches. This allows the user to receive specific advice.

[1003] Progress management and feedback

[1004] Users input their daily progress into the device, and that information is sent to the server. The server analyzes the progress and generates feedback. For example, the server may provide specific advice such as, "Your basic fitness has improved, so next you should focus on technique training."

[1005] Emotion Engine

[1006] The emotion engine analyzes the user's input and behavioral data to determine their emotions and customize the feedback. For example, if it determines that the user is losing motivation, it adjusts the feedback and provides advice to help them regain their motivation. It is also possible to optimize expert matching based on emotions.

[1007] Linking with real stores

[1008] Users can access support and training provided in real stores that they can actually visit, which aligns the plans presented in the system with real-world activities, making the realization of dreams more feasible.

[1009] Specific examples

[1010] For example, if a user sets a dream of "becoming a professional soccer player" and uses the app at a physical training gym, if the user enters progress as "participating in basic physical training," the emotion engine will determine this as "high motivation" and provide feedback such as "Great progress! Keep it up!". The app will also match the user with a soccer coach in their area who is best suited to the user.

[1011] Example inputs to a generative AI model:

[1012] "Please suggest the next progress step: Username is Taro Tanaka, age 25, dreams of becoming a professional soccer player. Current progress is participating in basic physical training. Emotional state is highly motivated."

[1013] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[1014] Step 1:

[1015] A user accesses the system using a terminal and enters their profile information (such as name, age, and type of dream) on the new registration screen. The input data is sent from the terminal to the server and stored in a database. This is to provide the user with basic data to personalize the support provided in subsequent steps.

[1016] Step 2:

[1017] The user inputs details of their dream (e.g., "I want to be a professional soccer player" or "I want to achieve this in 10 years") via a device. The device sends this information to the server, which receives it and stores it in a database. This gives the system data to understand the user's specific goals.

[1018] Step 3:

[1019] The server uses expert knowledge and past data to generate back-calculation steps to realize the user's dream. This process retrieves and analyzes relevant information from the database to generate a specific action plan for the user's dream. The output back-calculation steps include the necessary learning methods, skills, and training plans.

[1020] Step 4:

[1021] The server searches the database for suitable experts based on the user's dream and performs matching. The data used is the type of dream and detailed information of the user. The output of this step is a list of experts, which is provided to the user.

[1022] Step 5:

[1023] The server sends the generated back-calculation steps and expert information to the device and displays them to the user, who can then view their progress and receive guidance on how to proceed to the next step. The feedback includes specific instructions and advice on what actions the user should take.

[1024] Step 6:

[1025] The user inputs their daily progress (e.g., training content and achievement level) into the device, and the information is sent to the server and stored in a database. The server analyzes the progress based on this information and generates feedback to provide to the user. The output of the analysis is specific advice based on the progress results.

[1026] Step 7:

[1027] The emotion engine analyzes emotions from the user's input and behavioral data, and customizes the feedback content based on that. The input data is the user's behavioral history and emotional state, and the engine analyzes it to generate optimal feedback. The output is a feedback message that takes emotions into consideration.

[1028] Step 8:

[1029] The user receives support and training provided at a physical store. The device collects progress data, sends it to a server, and stores it in a database. By linking real-world activity data with plans within the system, the system effectively supports the realization of dreams. The output is an integrated support plan that reflects the user's progress.

[1030] 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.

[1031] 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.

[1032] 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.

[1033] [Fourth embodiment]

[1034] FIG. 7 shows an example of the configuration of a data processing system 410 according to the fourth embodiment.

[1035] 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.

[1036] 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).

[1037] 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.

[1038] 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.

[1039] 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).

[1040] 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.

[1041] 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.

[1042] 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.

[1043] 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.

[1044] 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.

[1045] 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.

[1046] 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."

[1047] The following describes an embodiment of the present invention. This system provides the steps and support necessary for users to realize their dreams, and the elements of the server, terminal, and user function in cooperation with each other.

[1048] First, a user accesses the system using a terminal and enters their profile information (name, age, dreams, etc.) on the new registration screen. This information is sent from the terminal to the server, which receives it and stores it in a database.

[1049] Next, the user enters details of their dream (for example, "I want to become a professional soccer player" or "I want to achieve this in 10 years"). The device sends this information to the server, and the system begins the process of calculating backward the steps toward realizing the dream. Specifically, the server generates steps to realize the user's dream based on expert knowledge and past data. These generated steps include the necessary learning methods, skills, training plans, etc. depending on the content.

[1050] For example, if a user aims to become a professional soccer player, the server will suggest specific steps such as strengthening basic physical strength, technique training, joining a local club, etc. The server then sends these steps to the user's device and displays them to the user, allowing the user to visually confirm the plan for achieving their dream.

[1051] The system also has a matching function with experts. Based on the user's dreams, the server searches the database for an appropriate expert and matches them. For example, a user aiming to become a professional soccer player can be matched with a local soccer coach. The server notifies the device of this, and the user can receive specific advice from the expert through messaging or online meetings.

[1052] The app also provides a function for managing the user's progress. The user enters their daily progress (for example, training content and achievement level) into the device, and this information is sent to the server and stored in a database. The server then analyzes the progress based on this information and generates feedback to provide to the user. For example, this may include specific advice such as, "Since your basic fitness has improved, next you should focus on technique training."

[1053] This allows the system to provide comprehensive support for users to turn their dreams into real goals and achieve them.

[1054] The processing flow will be explained below.

[1055] Step 1:

[1056] The user opens the new registration screen on their device and enters their profile information (name, age, type of dream, etc.).

[1057] Step 2:

[1058] The device transmits the entered profile information to the server.

[1059] Step 3:

[1060] The server receives the submitted profile information and stores it in a database.

[1061] Step 4:

[1062] The user inputs the details of the dream (specific details of the dream, deadline for achieving it, etc.) into the terminal.

[1063] Step 5:

[1064] The device sends the entered dream details to the server.

[1065] Step 6:

[1066] The server receives the details of the dream submitted and generates back-calculation steps based on expert knowledge and past data.

[1067] Step 7:

[1068] The server transmits the generated reverse calculation steps to the terminal and displays them to the user.

[1069] Step 8:

[1070] The user checks the reverse calculation steps displayed on the device and creates a specific action plan.

[1071] Step 9:

[1072] The server searches the database for relevant experts based on the user's dream.

[1073] Step 10:

[1074] The server matches the relevant expert information with the user and notifies the terminal.

[1075] Step 11:

[1076] Users can use their devices to message and meet online with experts.

[1077] Step 12:

[1078] The user inputs their daily progress (training content, achievement level, etc.) into the terminal.

[1079] Step 13:

[1080] The terminal transmits the input progress information to the server.

[1081] Step 14:

[1082] The server receives the progress information and stores it in a database.

[1083] Step 15:

[1084] The server analyzes your progress and generates next steps and advice.

[1085] Step 16:

[1086] The server generates feedback and sends it to the terminal for confirmation by the user.

[1087] This series of processes provides a system that allows users to convert their dreams into concrete action plans and manage their progress with the support of experts.

[1088] Example 1

[1089] 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."

[1090] In modern society, many people have dreams and goals, but lack the concrete steps and support to make them a reality. It is also often difficult to access the experts and information needed to make dreams a reality. As a result, individuals are prone to setbacks in the process of pursuing their dreams, and often achievable dreams end up unrealized.

[1091] 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.

[1092] In this invention, the server includes means for a user to input their profile and details of their dream, means for transmitting the information to the server and storing it in a database, means for generating back-calculation steps for realizing the user's dream, means for providing the generated steps to a terminal and confirming them, means for matching the user with experts necessary for realizing the dream, means for notifying the terminal of and displaying the list of experts, and means for managing and providing feedback on the user's progress, making it easier for users to take specific steps toward realizing their dreams and enabling them to efficiently progress toward achieving their goals with the support of experts.

[1093] "User" refers to any individual or entity that uses the System.

[1094] "Profile" refers to data including a User's name, age, email address and other basic personal information.

[1095] "Dreams" refer to goals and hopes that users want to achieve in the future.

[1096] "Server" refers to a computer system for receiving user information and storing and analyzing data.

[1097] "Database" refers to a system that manages and stores data such as user profile information, dream details, and progress.

[1098] "Steps" refer to a series of specific actions or plans required to make a user's dream a reality.

[1099] "Backward calculation steps" refer to specific steps determined by calculating backwards the path from the user's final goal to the present.

[1100] An "expert" is an individual or organization that has advanced knowledge and skills in a particular field and can provide support to help users realize their dreams.

[1101] "Matching" refers to the process of searching for and suggesting suitable experts based on the user's dreams and goals.

[1102] "Progress" refers to data and indicators that show how far a user is moving toward their dream.

[1103] "Feedback" refers to advice and suggestions provided based on the user's progress.

[1104] The following describes an embodiment of the present invention. This system provides the steps and support necessary for users to realize their dreams, and the elements of the server, terminal, and user function in cooperation with each other.

[1105] First, the user accesses the system using a terminal and enters the required information (name, age, email address, etc.) on the new registration screen. The hardware required for this includes personal computers, smartphones, and tablet terminals. The terminal sends this information to the server, which then stores the received information in a database. The widely used database system is MySQL.

[1106] After logging in, users enter details of their dreams (e.g., "I want to become a professional soccer player" or "I want to achieve this in 10 years"). The device then sends this information to the server, which then uses a generative AI model to analyze the data based on the details of the dream received. Using data analysis tools such as Python's Pandas and Scikit-learn, the server utilizes past data and expert knowledge to generate specific steps (e.g., strengthening basic physical fitness, technical training, joining a local club, etc.) to help the user realize their dream.

[1107] The generated steps are sent from the server to the device, where the user can visually confirm them. For example, if a user sets the goal of becoming a professional soccer player, the system will suggest specific steps such as "running every day," "technique training every week," and "playing in a match once a month."

[1108] The system also includes a matching function with experts. Based on the user's dreams and goals, the server searches a database for appropriate experts and matches them with the user. Messaging platforms (e.g., Slack API) and online meeting platforms (e.g., Zoom API) are used to contact the experts. For example, a user aiming to become a professional soccer player will be suggested a local soccer coach. The server notifies the device of this, and the user can receive specific advice through messaging or online meetings with the expert.

[1109] To manage the user's progress, the user inputs their daily training details and achievements into the device. The device then sends this information to the server, which stores it in a database and analyzes the progress data to generate feedback. For example, the server can provide specific advice such as, "Since your basic fitness has improved, next you should focus on technique training." The analysis is performed using a Python script that is automatically executed after the database is updated.

[1110] Specific examples

[1111] If a user sets a dream of "becoming a professional soccer player," the following steps will be generated:

[1112] 1. Daily Running

[1113] 2. Weekly Technique Training

[1114] 3. Participate in a match once a month

[1115] Example prompts for generative AI models

[1116] An example of a prompt is as follows:

[1117] "If a user wants to become a professional soccer player, please explain the necessary steps in detail. Starting with strengthening basic physical strength, please also explain the subsequent training content and how to match them with experts."

[1118] The flow of the identification process in the first embodiment will be described with reference to FIG.

[1119] Step 1:

[1120] A user accesses the system using a terminal and enters the required information (name, age, email address, etc.) on the new registration screen. The input data is sent from the terminal to the server. The server performs an initial check of the received information, and if there are no errors, stores it in the database. This creates a user account. Specifically, the data entered in the web form is sent and inserted into the database using an SQL query.

[1121] Step 2:

[1122] After logging in, the user uses the terminal to input the specific details of their dream (e.g., "I want to become a professional soccer player" or "I want to achieve this in 10 years"). The details entered are sent from the terminal to the server, which stores this information in a database. This data becomes the basis for generating subsequent steps. Specifically, the input form accepts the details of the dream, sends them to the server as a POST request, and stores them in the database.

[1123] Step 3:

[1124] The server uses a generative AI model to analyze the received dream details. The input data is the user's dream details, and data processing and calculations are performed to generate back-calculation steps. Software used includes Python's Pandas and Scikit-learn. This outputs specific learning methods and steps (e.g., strengthening basic physical fitness, technique training, joining a local club, etc.). These steps are stored in a database and provided later.

[1125] Step 4:

[1126] The server sends the generated steps to the terminal, where the user confirms them. First, the server reads the generated steps from the database and sends them to the terminal. The terminal displays the received steps on the user interface, and when the user presses the confirmation button, a message that confirmation has been completed is sent to the server. Specifically, the server generates a UI for displaying the steps and triggers a confirmation action.

[1127] Step 5:

[1128] The server searches the database for appropriate experts based on the user's dream and performs matching. The input data is the details of the user's dream, and based on this, the expert information is filtered and narrowed down. A matching algorithm is used to generate a list of applicable experts and notify the device. This algorithm uses Python and SQL. Specifically, it narrows down the experts based on the matching policy and generates a list.

[1129] Step 6:

[1130] The user's daily progress (e.g., training content and achievement level) is entered into the terminal and sent from the terminal to the server. The server saves the received progress data in a database and prepares it for analysis. The input data is the progress, and the saved data is used for later analysis and feedback generation. Specifically, the data is accepted in the progress input form and saved.

[1131] Step 7:

[1132] The server analyzes the progress data and generates feedback. A Python script is used for the analysis, and the progress data is analyzed in detail to output specific feedback. For example, specific advice such as "Since your basic physical strength has improved, next you should focus on technique training" is generated. The analysis results are saved in a database and later notified to the user. Specific operations include running the analysis script and generating feedback.

[1133] Step 8:

[1134] The server generates feedback and sends it to the device for confirmation by the user. The feedback is read from the database and sent to the device. The device displays the feedback on the user interface, and once confirmed by the user, the information is sent to the server. Specifically, the system generates a UI for displaying the feedback and triggers a confirmation action.

[1135] (Application example 1)

[1136] 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."

[1137] Conventional dream realization support systems lack specific support for users to realize their dreams, making it difficult for users to visually and effectively understand and manage the steps required to make their goals a reality. In addition, matching with experts and progress management are often complex and time-consuming, hindering efficient goal achievement.

[1138] 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.

[1139] In this invention, the server includes a means for a user with a dream to input his / her profile and details of the dream, a means for generating backward calculation steps for realizing the user's dream, a means for matching the user with experts necessary for realizing the dream, a means for managing and providing feedback on the user's progress, and a means for the user to access a virtual store and receive support for realizing the dream via a smartphone. This enables the user to efficiently and effectively break down their dream into specific steps and manage their progress toward achieving their goal with support from experts.

[1140] "Dream details" refers to the specific content of the goals and hopes that the user wants to achieve.

[1141] "Backward calculation steps" refers to a series of specific methods or plans derived by working backwards through the processes required by the user to achieve their goal.

[1142] An "expert" is someone who has advanced knowledge and practical experience in a field related to the user's dreams and goals.

[1143] "Matching" refers to the process of matching users with appropriate experts.

[1144] "Progress" refers to the activities that a user has undertaken to achieve a goal and the resulting status.

[1145] "Feedback" refers to the provision of information to give support and advice on the user's progress.

[1146] A "virtual store" refers to a virtual sales and service space built on the Internet.

[1147] "Smartphone" refers to a portable communication device that can connect to the Internet and use a variety of applications.

[1148] "Server" refers to a computer system that processes requests from multiple users and stores and provides various data.

[1149] A "generative AI model" refers to an algorithm or system that uses artificial intelligence techniques to automatically generate new data or information.

[1150] "Prompt" means text containing instructions or questions used as input to a generative AI model.

[1151] The following describes an embodiment of the present invention. This system provides the steps and support necessary for users to realize their dreams, and the elements of the server, terminal, and user work together.

[1152] First, a user accesses the system using a smartphone and enters their profile information (such as name, age, and details of their dreams) on the new registration screen. This information is sent from the device to the server, which receives it and stores it in a database. Since the server manages a large amount of user data, it is possible to use a relational database such as SQLite or MySQL.

[1153] Next, the user enters details of their dream (for example, "I want to become a professional soccer player" or "I want to start a successful business"). The device sends this information to the server, which then begins the process of calculating backward the steps toward realizing the dream. Specifically, the server uses a generative AI model to generate specific steps to realize the user's dream based on the prompt. These steps are generated using past data and expert knowledge.

[1154] For example, if a user aims to become a professional soccer player, the server will suggest detailed steps such as strengthening basic physical strength, technique training, joining a local club, etc. These steps are sent from the server to the device and can be visually confirmed by the user on their smartphone.

[1155] The system also includes a function that searches a database for appropriate experts based on the user's dreams and matches them with the right person. For example, a user aspiring to become a professional soccer player can be matched with a local soccer coach. The server notifies the user of the matching results, and the user can receive specific advice from the expert through messaging or online meetings. Platforms such as Zoom and Microsoft Teams can be used for messaging and online meetings.

[1156] The app also provides a function for managing the user's progress. Users enter their daily progress (for example, training content and achievement level) into their smartphone, and this information is sent to the server and stored in a database. The server uses this information to analyze the progress and generate feedback to provide to the user. For example, this may include specific advice such as, "Since your basic physical strength has improved, next you should focus on technique training."

[1157] Through this collaboration, the system provides comprehensive support for users to turn their dreams into real goals and achieve them.

[1158] Prompt Sentence Examples

[1159] User's dream: "Professional soccer player" Age: 22

[1160] Suggest steps that this user can take to achieve their dream.

[1161] Step 1: Strengthen your basic physical strength.

[1162] Step 2: Do technique training.

[1163] Step 3: Join a local club.

[1164] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[1165] Step 1:

[1166] A user accesses the system using a smartphone and enters their profile information (such as name, age, and details of their dream) on the new registration screen. This input data (name, age, and details of their dream) is sent from the user's device to the server. The server stores the received information in an SQLite or MySQL database. This records the user's basic information in the database.

[1167] Step 2:

[1168] A user enters specific details of their dream into the system via their smartphone (e.g., "I want to be a professional soccer player"). The device sends this information to the server. The server receives this data and generates a prompt for the generative AI model. This prompt is generated based on the user's dream. For example, "User's dream: "Professional soccer player" Age: 22 Please suggest steps for this user to achieve their dream."

[1169] Step 3:

[1170] The server uses a generative AI model to generate specific steps to realize the user's dream based on the prompt text. The generative AI model utilizes past data and expert knowledge to generate reverse-calculation steps (e.g., strengthening basic physical strength, performing technique training, etc.) that correspond to the user's dream. This step data is stored on the server, and the generated steps are sent to the device. The user can visually check these steps on their smartphone.

[1171] Step 4:

[1172] The server searches the database for suitable experts based on the user's dreams and lists candidates. For example, if a user aims to become a professional soccer player, the server searches for local soccer coaches. Expert information is sent from the server to the user's device, and the user can check the matching information with the experts on their smartphone.

[1173] Step 5:

[1174] Users can initiate messaging with experts and schedule online meetings using their smartphones, and the server can use platforms such as Zoom and Microsoft Teams to facilitate this. Through messaging and online meetings, users can receive specific advice and guidance from experts.

[1175] Step 6:

[1176] Users enter their daily progress (e.g., training content and achievement level) into their smartphones and send that information to the server. The server stores the received progress data in a database and analyzes the progress. Based on the analysis results, the server generates feedback and provides specific advice to the user (e.g., "Your basic physical strength has improved, so next you should focus on technique training"). The feedback is sent to the smartphone, where the user can check it.

[1177] Through these steps, the system provides comprehensive support for users to turn their dreams into real goals and achieve them.

[1178] 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.

[1179] The following describes an embodiment of the present invention. This system provides users with the steps and support they need to realize their dreams, and the various elements of the system, including the server, the terminal, and the user, work together. The system also incorporates an emotion engine that recognizes the user's emotions and customizes feedback based on those emotions.

[1180] First, a user accesses the system using a terminal and enters their profile information (name, age, type of dream, etc.) on the new registration screen. This information is sent from the terminal to the server, which receives it and stores it in a database.

[1181] Next, the user enters details of their dream (for example, "I want to become a professional soccer player" or "I want to achieve this in 10 years"). The device sends this information to the server, and the system begins the process of calculating backward the steps toward realizing the dream. Specifically, the server generates steps to realize the user's dream based on expert knowledge and past data. These generated steps include the necessary learning methods, skills, training plans, etc. depending on the content.

[1182] For example, if a user aims to become a professional soccer player, the server will suggest specific steps such as strengthening basic physical strength, technique training, joining a local club, etc. The server then sends these steps to the user's device and displays them to the user, allowing the user to visually confirm the plan for achieving their dream.

[1183] The system also has a matching function with experts. Based on the user's dreams, the server searches the database for an appropriate expert and matches them. For example, a user aiming to become a professional soccer player can be matched with a local soccer coach. The server notifies the device of this, and the user can receive specific advice from the expert through messaging or online meetings.

[1184] In addition, the system also provides a function for managing the user's progress. The user enters their daily progress (e.g., training content and achievement level) into the device, and this information is sent to the server and stored in a database. The server then analyzes the progress based on this information and generates feedback to provide to the user. For example, this may include specific advice such as, "Since your basic physical strength has improved, next you should focus on technique training."

[1185] Another important feature is an emotion engine that recognizes the user's emotions. The emotion engine analyzes emotions from the user's input and behavioral data, and customizes the feedback it provides based on that analysis. For example, if it determines that the user is losing motivation, it adjusts the feedback and provides advice to help them regain their motivation. The emotion engine can also optimize expert matching based on emotions, selecting experts who can provide psychological support to the user.

[1186] This allows the system to provide comprehensive support to help users turn their dreams into real goals and achieve them, and also provides customized assistance that takes into account the user's emotions.

[1187] The processing flow will be explained below.

[1188] Step 1:

[1189] The user opens the new registration screen on their device and enters their profile information (name, age, type of dream, etc.).

[1190] Step 2:

[1191] The device transmits the entered profile information to the server.

[1192] Step 3:

[1193] The server receives the submitted profile information and stores it in a database.

[1194] Step 4:

[1195] The user inputs the details of the dream (specific details of the dream, deadline for achieving it, etc.) into the terminal.

[1196] Step 5:

[1197] The device sends the entered dream details to the server.

[1198] Step 6:

[1199] The server receives the details of the dream submitted and generates back-calculation steps based on expert knowledge and past data.

[1200] Step 7:

[1201] The server transmits the generated reverse calculation steps to the terminal and displays them to the user.

[1202] Step 8:

[1203] The user checks the reverse calculation steps displayed on the device and creates a specific action plan.

[1204] Step 9:

[1205] The server searches the database for relevant experts based on the user's dream.

[1206] Step 10:

[1207] The server matches the relevant expert information with the user and notifies the terminal.

[1208] Step 11:

[1209] Users can use their devices to message and meet online with experts.

[1210] Step 12:

[1211] The user inputs their daily progress (training content, achievement level, etc.) into the terminal.

[1212] Step 13:

[1213] The terminal transmits the input progress information to the server.

[1214] Step 14:

[1215] The server receives the progress information and stores it in a database.

[1216] Step 15:

[1217] The server analyzes your progress and generates next steps and advice.

[1218] Step 16:

[1219] The server generates feedback and sends it to the terminal for confirmation by the user.

[1220] Step 17:

[1221] The emotion engine analyzes user input and behavioral data to recognize emotions.

[1222] Step 18:

[1223] The emotion engine re-customizes feedback based on the perceived emotion.

[1224] Step 19:

[1225] An emotion engine generates next steps and advice that take into account the user's emotional state.

[1226] Step 20:

[1227] The device displays customized feedback and advice to the user.

[1228] For example, if a user inputs their dream of becoming a professional soccer player, the server will generate and display steps such as "strengthening basic physical fitness," "technique training," and "joining a local club" as back-calculation steps. The server then matches the user with an appropriate soccer coach and notifies the user. Using progress data and the emotion engine, the engine can detect if the user's motivation is declining during training and adjust its support advice, providing feedback such as "try a new training method."

[1229] Example 2

[1230] 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."

[1231] Previous systems made it difficult for users to receive specific steps toward realizing their dreams or ongoing support from experts. Furthermore, the system did not adequately optimize feedback based on users' emotions and progress, often resulting in a loss of motivation and failure to achieve their goals. This resulted in a lack of effective support for users to turn their dreams into real goals.

[1232] 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.

[1233] In this invention, the server includes means for a user with a dream to input his / her profile and details of the dream, means for generating back-calculation steps for realizing the user's dream, means for matching the user with experts necessary for realizing the dream, means for managing and providing feedback on the user's progress, and means for analyzing the user's emotions and customizing feedback based on the analysis results. This enables the user to make a plan for realizing their dream through specific and effective steps, and further enables the user to move forward toward achieving their goal while maintaining motivation through feedback according to their emotions.

[1234] "Profile information" refers to basic information about a user, such as the user's name, age, and type of dream.

[1235] "Dream details" refers to specific information about the goals or dreams that the user wants to achieve.

[1236] "Means for generating back-calculation steps" refers to the system's function of back-calculating and generating the steps necessary for the user to achieve their goal based on expert knowledge and past data.

[1237] "Means for matching with experts" refers to the system's function of searching for appropriate experts based on the user's dreams and goals and matching them with the user.

[1238] "Means for managing and providing feedback on progress" refers to the system's functionality for collecting and analyzing users' daily progress data and providing appropriate feedback based on that data.

[1239] "Means for analyzing emotions and customizing feedback" refers to the system's function of analyzing emotions from user input and behavioral data, and customizing the content of feedback based on the analysis results.

[1240] "Generative AI model" refers to an artificial intelligence model used to generate optimal steps and feedback based on user input and other data.

[1241] A "prompt sentence" refers to an instruction sentence input to a generative AI model.

[1242] The system of the present invention provides users with the steps and support they need to realize their dreams, and the various elements of the system, including the server, terminal, and user, work in coordination. The system also incorporates an emotion engine that recognizes the user's emotions and customizes feedback based on those emotions.

[1243] First, a user accesses the system using a terminal and enters their profile information (name, age, type of dream, etc.) on the new registration screen. This information is sent from the terminal to the server, which receives it and stores it in a database.

[1244] Next, the user enters details of their dream (for example, "I want to become a professional soccer player" or "I want to achieve this in 10 years"). The device sends this information to the server, and the system begins the process of calculating backward the steps toward realizing the dream. Specifically, the server generates steps to realize the user's dream based on expert knowledge and past data. These generated steps include the necessary learning methods, skills, training plans, etc. depending on the content.

[1245] For example, if a user aims to become a professional soccer player, the server will suggest specific steps such as strengthening basic physical strength, technique training, joining a local club, etc. The server then sends these steps to the user's device and displays them to the user, allowing the user to visually confirm the plan for achieving their dream.

[1246] The system also has a matching function with experts. Based on the user's dreams, the server searches the database for an appropriate expert and matches them. For example, a user aiming to become a professional soccer player can be matched with a local soccer coach. The server notifies the device of this, and the user can receive specific advice from the expert through messaging or online meetings.

[1247] In addition, the system also provides a function for managing the user's progress. The user enters their daily progress (e.g., training content and achievement level) into the device, and this information is sent to the server and stored in a database. The server then analyzes the progress based on this information and generates feedback to provide to the user. For example, this may include specific advice such as, "Since your basic physical strength has improved, next you should focus on technique training."

[1248] Another important feature is an emotion engine that recognizes the user's emotions. The emotion engine analyzes emotions from the user's input and behavioral data, and customizes the feedback it provides based on that analysis. For example, if it determines that the user is losing motivation, it adjusts the feedback and provides advice to help them regain their motivation. The emotion engine can also optimize expert matching based on emotions, selecting experts who can provide psychological support to the user.

[1249] As a concrete example, consider a user aiming to become a professional soccer player. The user uses a device to input, "I want to become a professional soccer player, and I would like to achieve this in 10 years." The device sends this information to a server, which generates steps such as strengthening basic physical strength, technique training, and joining a local club. The server sends these steps to the device, and the user confirms the specific plan. The server searches for local soccer coaches and matches them with the user. The user inputs their progress into the device, and the server analyzes the progress data and provides feedback such as, "Your basic physical strength has improved, so next you should focus on technique training." The emotion engine detects that the user's motivation is declining and provides feedback such as, "You seem to be losing motivation recently. Why don't you try a new training method?"

[1250] Example prompt for a generative AI model:

[1251] "Please tell me the specific steps I need to take to become a professional soccer player. I would like to achieve this in 10 years."

[1252] This allows the system to provide comprehensive support to help users turn their dreams into real goals and achieve them, and also provides customized assistance that takes into account the user's emotions.

[1253] The flow of the identification process in the second embodiment will be described with reference to FIG.

[1254] Step 1:

[1255] Entering profile information and registering

[1256] The user accesses the system using a terminal and opens the new registration screen.

[1257] Users enter their profile information (name, age, type of dream, etc.).

[1258] The terminal transmits the input information to the server.

[1259] The server stores the received information in a database.

[1260] Input: User profile information (name, age, type of dream, etc.)

[1261] Output: User profile information stored in the database

[1262] Specific operation: The terminal obtains the entered profile information and sends it to the server via the network, and the server inserts it into the SQL database.

[1263] Step 2:

[1264] Enter detailed information about your dream

[1265] The user enters details of their dream (such as "I want to be a professional soccer player" or "I want to achieve this in 10 years") into the device.

[1266] The terminal transmits the input information to the server.

[1267] The server stores the received information in a database.

[1268] Input: User's dream details

[1269] Output: detailed dream information stored in the database

[1270] Specific operation: The device displays a form for entering details of the dream, captures the information entered by the user, sends it to the server, and the server stores it in a database.

[1271] Step 3:

[1272] Step Generation

[1273] Based on the detailed information of the dream received, the server uses a generative AI model to generate back-calculation steps based on expert knowledge and past data.

[1274] Input: User's dream details

[1275] Output: Generated back-calculation steps

[1276] Specific operation: The server inputs detailed information about the dream as prompts to the generated AI model, processes the specific steps (basic physical strength training, technique training, etc.) generated by the AI ​​model, and outputs the results.

[1277] Step 4:

[1278] Viewing Steps

[1279] The server transmits the generated steps to the terminal.

[1280] The terminal displays this to the user.

[1281] Input: Generated steps

[1282] Output: The steps that are displayed to the user

[1283] Specific operation: The server sends the generated steps to the terminal as JSON format data, and the terminal generates a UI to visually display this.

[1284] Step 5:

[1285] Matching with experts

[1286] The server searches the database for suitable experts based on the user's dreams.

[1287] The server notifies the terminal of the search results.

[1288] Users can use the device to message and meet online with experts.

[1289] Input: User's dream details, expert database

[1290] Output: Matched expert information

[1291] Specific operation: The server executes a search query to extract suitable experts from the expert database, sends the extracted information to the terminal, and the terminal displays the list of experts.

[1292] Step 6:

[1293] Track progress and generate feedback

[1294] Users enter their daily progress (training content and achievement level) into the terminal.

[1295] The terminal transmits the input progress information to the server.

[1296] The server analyzes the progress data and generates feedback.

[1297] The server sends the generated feedback to the terminal and displays it to the user.

[1298] Input: User progress information

[1299] Output: Generated feedback

[1300] Specific operation: The terminal displays a form for inputting user progress information, sends the input data to the server, and the server uses an analysis algorithm to generate feedback and sends it to the terminal.

[1301] Step 7:

[1302] Customized feedback with emotion engine

[1303] The emotion engine analyzes emotions from user input and behavioral data.

[1304] The emotion engine customizes feedback based on the analysis results.

[1305] The server sends customized feedback to the terminal.

[1306] Input: User input and behavioral data

[1307] Output: Customized feedback

[1308] Specific operation: The emotion engine inputs user input and behavioral data into a machine learning model, predicts emotions, generates customized feedback based on the prediction results, and sends it to the device via the server.

[1309] (Application example 2)

[1310] 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."

[1311] The challenge is to efficiently provide users with the steps and support they need to realize their dreams. However, it is difficult to provide customized feedback that takes into account the user's emotional state and progress, and is linked to their real-world activities. Matching users with the right experts is also not easy. It is necessary to solve these challenges and enable users to realize their dreams more effectively.

[1312] The identification process by the identification 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 with a dream to input his or her profile and details of the dream, a means for generating back-calculation steps for realizing the user's dream, a means for matching the user with experts necessary for realizing the dream, a means for managing and providing feedback on the user's progress, a means for recognizing the user's emotions and customizing feedback, and a means for supporting the user in conjunction with activities at a physical store. This makes it possible to provide specific support and feedback customized based on the user's emotional state and progress, and to effectively match the user with experts needed in the process of realizing their dream.

[1313] A "user" is an individual who uses the system to realize their dreams and goals.

[1314] "Profile" is basic information such as the user's name, age, and type of dream.

[1315] "Dream details" is information such as the specific goal the user wants to achieve and the deadline for achieving it.

[1316] "Backward Steps" is a plan that shows, step by step, the specific actions and learning processes required to realize your dreams.

[1317] An "expert" is a professional with extensive knowledge and experience in a particular field.

[1318] "Matching" is the process of searching for and matching the experts and support resources that best suit the user's dreams.

[1319] "Progress" indicates how far the user has progressed toward realizing their dream.

[1320] "Feedback" is advice and evaluation provided based on the user's progress.

[1321] The "emotion engine" is a system component that analyzes the user's emotional state and customizes the feedback content based on that.

[1322] A "physical store" is a physical location that users can visit and that provides in-person assistance and training.

[1323] "Customization" is the process of optimizing the content of assistance and feedback based on the user's individual situation and emotional state.

[1324] The system of this invention is composed of multiple elements that work together to help users realize their dreams. Each element, including the server, terminal, and user, plays an important role, and the emotion engine analyzes the user's emotions and customizes the feedback. Furthermore, collaboration with real stores provides more practical support.

[1325] System Overview

[1326] The system consists of the following key components:

[1327] 1. Means for entering profile and dream details: The user uses the terminal to enter their basic information (name, age, type of dream) and specific dream details.

[1328] 2. Means for generating back-calculation steps: The server uses expert knowledge and past data based on the information entered by the user to back-calculate and present the specific steps necessary to realize the dream.

[1329] 3. Expert matching means: The server searches the database for an appropriate expert and matches the user with the expert.

[1330] 4. Progress management and feedback means: The terminal sends the user's progress data to the server, which analyzes it and generates feedback.

[1331] 5. Emotion Engine: The emotion engine analyzes the user's emotional state and customizes the feedback accordingly.

[1332] 6. Means of linking with real stores: Users can integrate their activities in real stores with plans within the system to help them realize their dreams.

[1333] Program processing overview

[1334] Enter your profile and dream details

[1335] Users access the system using a smartphone or tablet and enter their profile information on the new registration screen. This information is sent from the device to the server and stored in a database. The user then enters details of their dream, which is also sent from the device to the server.

[1336] Generating back calculation steps

[1337] The server uses expert knowledge and past data to generate back-calculation steps based on the received dream information. The generated steps include the necessary learning methods, skills, and training plans.

[1338] Expert Matching

[1339] The server searches the database for appropriate experts based on the user's dream and matches them. For example, if the user's dream is to become a professional soccer player, the server searches for and matches with local soccer coaches. This allows the user to receive specific advice.

[1340] Progress management and feedback

[1341] Users input their daily progress into the device, and that information is sent to the server. The server analyzes the progress and generates feedback. For example, the server may provide specific advice such as, "Your basic fitness has improved, so next you should focus on technique training."

[1342] Emotion Engine

[1343] The emotion engine analyzes the user's input and behavioral data to determine their emotions and customize the feedback. For example, if it determines that the user is losing motivation, it adjusts the feedback and provides advice to help them regain their motivation. It is also possible to optimize expert matching based on emotions.

[1344] Linking with real stores

[1345] Users can access support and training provided in real stores that they can actually visit, which aligns the plans presented in the system with real-world activities, making the realization of dreams more feasible.

[1346] Specific examples

[1347] For example, if a user sets a dream of "becoming a professional soccer player" and uses the app at a physical training gym, if the user enters progress as "participating in basic physical training," the emotion engine will determine this as "high motivation" and provide feedback such as "Great progress! Keep it up!". The app will also match the user with a soccer coach in their area who is best suited to the user.

[1348] Example inputs to a generative AI model:

[1349] "Please suggest the next progress step: Username is Taro Tanaka, age 25, dreams of becoming a professional soccer player. Current progress is participating in basic physical training. Emotional state is highly motivated."

[1350] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[1351] Step 1:

[1352] A user accesses the system using a terminal and enters their profile information (such as name, age, and type of dream) on the new registration screen. The input data is sent from the terminal to the server and stored in a database. This is to provide the user with basic data to personalize the support provided in subsequent steps.

[1353] Step 2:

[1354] The user inputs details of their dream (e.g., "I want to be a professional soccer player" or "I want to achieve this in 10 years") via a device. The device sends this information to the server, which receives it and stores it in a database. This gives the system data to understand the user's specific goals.

[1355] Step 3:

[1356] The server uses expert knowledge and past data to generate back-calculation steps to realize the user's dream. This process retrieves and analyzes relevant information from the database to generate a specific action plan for the user's dream. The output back-calculation steps include the necessary learning methods, skills, and training plans.

[1357] Step 4:

[1358] The server searches the database for suitable experts based on the user's dream and performs matching. The data used is the type of dream and detailed information of the user. The output of this step is a list of experts, which is provided to the user.

[1359] Step 5:

[1360] The server sends the generated back-calculation steps and expert information to the device and displays them to the user, who can then view their progress and receive guidance on how to proceed to the next step. The feedback includes specific instructions and advice on what actions the user should take.

[1361] Step 6:

[1362] The user inputs their daily progress (e.g., training content and achievement level) into the device, and the information is sent to the server and stored in a database. The server analyzes the progress based on this information and generates feedback to provide to the user. The output of the analysis is specific advice based on the progress results.

[1363] Step 7:

[1364] The emotion engine analyzes emotions from the user's input and behavioral data, and customizes the feedback content based on that. The input data is the user's behavioral history and emotional state, and the engine analyzes it to generate optimal feedback. The output is a feedback message that takes emotions into consideration.

[1365] Step 8:

[1366] The user receives support and training provided at a physical store. The device collects progress data, sends it to a server, and stores it in a database. By linking real-world activity data with plans within the system, the system effectively supports the realization of dreams. The output is an integrated support plan that reflects the user's progress.

[1367] 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.

[1368] 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.

[1369] 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.

[1370] 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.

[1371] 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.

[1372] 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.

[1373] 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).

[1374] 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.

[1375] 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."

[1376] 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.

[1377] 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).

[1378] 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.

[1379] 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.

[1380] 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.

[1381] 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.

[1382] 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.

[1383] 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.

[1384] 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.

[1385] 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.

[1386] 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.

[1387] 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.

[1388] The following is further disclosed regarding the above embodiment.

[1389] (Claim 1)

[1390] A means for users with dreams to enter their profile and details of their dreams;

[1391] a means for generating back-calculation steps for realizing the user's dream;

[1392] A means for matching users with experts necessary to realize the dream;

[1393] means for managing and providing feedback on the user's progress;

[1394] A system including:

[1395] (Claim 2)

[1396] 2. The system according to claim 1, wherein the means for generating the dream back-calculation steps presents specific learning methods and skills based on expert knowledge and past data.

[1397] (Claim 3)

[1398] 2. The system of claim 1, wherein the means for matching experts and users provides a platform for messaging and online meetings.

[1399] "Example 1"

[1400] (Claim 1)

[1401] a means for users to enter details of their profile and dreams;

[1402] means for transmitting the information to a server and storing it in a database;

[1403] a means for generating back-calculation steps for realizing the user's dream;

[1404] means for providing and confirming said generating step to a terminal;

[1405] A means for matching users with experts necessary to realize the dream;

[1406] means for notifying and displaying the list of experts on a terminal;

[1407] means for managing and providing feedback on the user's progress;

[1408] A system including:

[1409] (Claim 2)

[1410] 2. The system according to claim 1, wherein the means for generating the dream back-calculation steps presents specific learning methods and skills based on expert knowledge and past data.

[1411] (Claim 3)

[1412] 2. The system of claim 1, wherein the means for matching experts and users provides a platform for messaging and online meetings.

[1413] "Application Example 1"

[1414] (Claim 1)

[1415] A means for users with dreams to enter their profile and details of their dreams;

[1416] a means for generating back-calculation steps for realizing the user's dream;

[1417] A means for matching users with experts necessary to realize the dream;

[1418] means for managing and providing feedback on the user's progress;

[1419] A way for users to access the virtual store and get support to make their dreams come true through their smartphones.

[1420] A system including:

[1421] (Claim 2)

[1422] The system of claim 1, wherein the means for generating the dream back-calculation steps presents specific learning methods and skills based on expert knowledge and past data, and suggests steps based on prompt sentences using a generative AI model.

[1423] (Claim 3)

[1424] 2. The system of claim 1, wherein the means for matching experts and users provides a platform for messaging and online meetings, and this is done within a virtual store.

[1425] "Example 2: Combining Emotion Engines"

[1426] (Claim 1)

[1427] A means for users with dreams to enter their profile and details of their dreams;

[1428] a means for generating back-calculation steps for realizing the user's dream;

[1429] A means for matching users with experts necessary to realize the dream;

[1430] means for managing and providing feedback on the user's progress;

[1431] means for analyzing the user's emotions and customizing feedback based on the analysis results;

[1432] A system including:

[1433] (Claim 2)

[1434] 2. The system according to claim 1, wherein the means for generating the dream back-calculation steps presents specific learning methods and skills based on expert knowledge and past data.

[1435] (Claim 3)

[1436] 2. The system of claim 1, wherein the means for matching experts and users provides a platform for messaging and online meetings.

[1437] "Application example 2 when combining emotion engines"

[1438] (Claim 1)

[1439] A means for users with dreams to enter their profile and details of their dreams;

[1440] a means for generating back-calculation steps for realizing the user's dream;

[1441] A means for matching users with experts necessary to realize the dream;

[1442] means for managing and providing feedback on the user's progress;

[1443] a means of recognizing user emotions and providing customized feedback;

[1444] A means to support users in conjunction with the activities of physical stores,

[1445] A system including:

[1446] (Claim 2)

[1447] 2. The system according to claim 1, wherein the means for generating the dream back-calculation steps presents specific learning methods and skills based on expert knowledge and past data.

[1448] (Claim 3)

[1449] 2. The system of claim 1, wherein the means for matching experts and users provides a platform for messaging and online meetings. [Explanation of symbols]

[1450] 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 users with dreams to enter their profile and details of their dreams; a means for generating back-calculation steps for realizing the user's dream; A means for matching users with experts necessary to realize the dream; means for managing and providing feedback on the user's progress; A system including:

2. 2. The system according to claim 1, wherein the means for generating the dream back-calculation steps presents specific learning methods and skills based on expert knowledge and past data.

3. The system according to claim 1 , wherein the means for matching experts and users provides a platform for messaging and online meetings.

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