system

Abstract

We provide the system. [Solution] Equipped with a terminal for inputting target information, The system includes a data processing device that receives and analyzes the aforementioned target information, A means for providing the user with adjustment proposals for achieving the goal based on the data analyzed by the aforementioned data processing device, A means of monitoring progress and generating real-time feedback, A system that includes means to analyze past goal achievement data and automate the setting of appropriate goals.

Description

Technical Field

[0005]

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

Background Art

[0002] Patent Document 1 discloses a persona chatbot control method performed by at least one processor, including steps of receiving a user utterance, adding the user utterance to a prompt including an instruction sentence related to an explanation of a 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

Summary of the Invention

Problems to be Solved by the Invention

[0004] Since the goal setting and evaluation process in an enterprise depends on the communication between individual managers and employees, variations in goals and opacity of evaluations are problems. Also, with conventional methods, it is difficult to manage progress in real time, and there is an issue that there is no immediacy in motivating employees and improving their performance. As a result, there may be insufficient support in the goal achievement process and dissatisfaction with evaluations, leading to a decline in overall work efficiency.

Means for Solving the Problems

[0005] This invention provides a system comprising a terminal for inputting target information and a data processing device for analysis. The data processing device receives the input target information, analyzes past data to automate appropriate target setting, and provides the user with adjustment suggestions. Furthermore, it monitors progress and generates feedback in real time, including numerical evaluations and specific improvement suggestions. As a result, goal achievement is managed efficiently and transparently, employee motivation is improved, and overall business efficiency is increased.

[0006] "Goal information" refers to information that indicates the specific results or goals that the user wants to achieve, and is set based on the SMART principle (Specificity, Measurability, Achievability, Relevance, and Due Date).

[0007] A "terminal" is a device used by the user to input target information and communicate with the system, and includes computers, smartphones, and other similar devices.

[0008] A "data processing device" is a computer system that receives and analyzes target information, and is equipped with the function of evaluating the information and generating feedback using an AI agent.

[0009] "Analysis" is the process of comparing received target information with past data and evaluating its validity and feasibility.

[0010] A "proposal for adjustment" is a suggestion generated by the AI ​​agent based on the analysis results, and includes suggestions for improvement to make the set goals more appropriate.

[0011] "Progress status" refers to information that shows the degree to which user-set goals have been achieved and the progress made, including daily activities and results.

[0012] "Real-time" refers to the characteristic that the information in question is processed and reflected immediately, and the results are provided quickly.

[0013] "Feedback" refers to evaluations and improvement suggestions provided to users based on analysis and progress, and includes numerical evaluations and specific suggestions. [Brief explanation of the drawing]

[0014] [Figure 1] This is a conceptual diagram showing an example of the configuration of a data processing system according to the first embodiment. [Figure 2] This is a conceptual diagram showing an example of the essential functions of a data processing device and a smart device according to the first embodiment. [Figure 3] This is a conceptual diagram showing an example of the configuration of a data processing system according to the second embodiment. [Figure 4] This is a conceptual diagram showing an example of the main functions of a data processing device and smart glasses according to the second embodiment. [Figure 5] This is a conceptual diagram showing an example of the configuration of a data processing system according to the third embodiment. [Figure 6] This is a conceptual diagram showing an example of the main functions of a data processing device and a headset-type terminal according to the third embodiment. [Figure 7] This is a conceptual diagram showing an example of the configuration of a data processing system according to the fourth embodiment. [Figure 8] This is a conceptual diagram showing an example of the main functions of a data processing device and a robot according to the fourth embodiment. [Figure 9] This shows an emotion map where multiple emotions are mapped. [Figure 10] This shows an emotion map where multiple emotions are mapped. [Figure 11] This is a sequence diagram showing the processing flow of the data processing system in Example 1. [Figure 12] This is a sequence diagram showing the processing flow of the data processing system in Application Example 1. [Figure 13] This is a sequence diagram showing the processing flow of the data processing system in Example 2, which incorporates an emotion engine. [Figure 14]It is a sequence diagram showing the processing flow of a data processing system in Application Example 2 when a sentiment engine is combined.

Embodiments for Carrying Out the Invention

[0015] Hereinafter, an example of an embodiment of a system according to the technology of the present disclosure will be described with reference to the accompanying drawings.

[0016] First, the terms used in the following description will be explained.

[0017] In the following embodiments, a labeled processor (hereinafter simply referred to as "processor") may be a single arithmetic unit or a combination of multiple arithmetic units. Also, the processor may be a single type of arithmetic unit or a combination of multiple types of arithmetic units. Examples of arithmetic units include a CPU (Central Processing Unit), a GPU (Graphics Processing Unit), a GPGPU (General-Purpose computing on Graphics Processing Units), an APU (Accelerated Processing Unit), and the like.

[0018] In the following embodiments, a labeled RAM (Random Access Memory) is a memory in which information is temporarily stored and is used as a work memory by the processor.

[0019] In the following embodiments, a labeled storage is one or more non-volatile storage devices that store various programs and various parameters, etc. Examples of non-volatile storage devices include flash memory (SSD (Solid State Drive)), magnetic disks (e.g., hard disks), or magnetic tapes, etc.

[0020] In the following embodiments, the signed communication interface (I / F) is an interface that includes a communication processor and an antenna, etc. The communication interface manages communication between multiple computers. Examples of communication standards applicable to the communication interface include wireless communication standards such as 5G (5th Generation Mobile Communication System), Wi-Fi (registered trademark), or Bluetooth (registered trademark).

[0021] In the following embodiments, "A and / or B" is synonymous with "at least one of A and B." That is, "A and / or B" means that it may be A alone, or B alone, or a combination of A and B. Furthermore, in this specification, the same concept as "A and / or B" applies when expressing three or more things linked by "and / or."

[0022] [First Embodiment]

[0023] Figure 1 shows an example of the configuration of the data processing system 10 according to the first embodiment.

[0024] As shown in Figure 1, the 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.

[0025] The data processing device 12 comprises a computer 22, a database 24, and a communication interface 26. The computer 22 is an example of a "computer" related to the technology of this disclosure. The computer 22 comprises a processor 28, RAM 30, and storage 32. The processor 28, RAM 30, and storage 32 are connected to a bus 34. The database 24 and the communication interface 26 are also connected to the bus 34. The communication interface 26 is connected to a network 54. An example of the network 54 is a WAN (Wide Area Network) and / or a LAN (Local Area Network).

[0026] The smart device 14 comprises a computer 36, a reception device 38, an output device 40, a camera 42, and a communication interface 44. The computer 36 comprises a processor 46, RAM 48, and storage 50. The processor 46, RAM 48, and storage 50 are connected to a bus 52. The reception device 38, output device 40, and camera 42 are also connected to the bus 52.

[0027] The reception device 38 is equipped with a touch panel 38A and a microphone 38B, etc., and receives user input. The touch panel 38A receives user input by detecting contact with an object (e.g., a pen or finger). The microphone 38B receives user input by detecting the user's voice. The control unit 46A transmits data indicating the user input received by the touch panel 38A and 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.

[0028] 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 perceptible to the user 20 (e.g., audio and / or text). The display 40A displays visible information such as text and images according to instructions from the processor 46. The speaker 40B outputs audio according to instructions from the processor 46. The camera 42 is a small digital camera equipped with an optical system such as a lens, aperture, and shutter, and an image sensor such as a CMOS (Complementary Metal-Oxide-Semiconductor) image sensor or a CCD (Charge Coupled Device) image sensor.

[0029] Communication interface 44 is connected to network 54. Communication interfaces 44 and 26 are responsible for the exchange of various types of information between processor 46 and processor 28 via network 54.

[0030] Figure 2 shows an example of the main functions of the data processing device 12 and the smart device 14.

[0031] As shown in Figure 2, in the data processing device 12, a specific processing 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" related to the technology of this 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 according to the specific processing program 56 executed on the RAM 30.

[0032] The storage 32 stores the data generation model 58 and the emotion identification model 59. The data generation model 58 and the emotion identification model 59 are used by the identification processing unit 290.

[0033] In the smart device 14, the processor 46 performs the reception output processing. The storage 50 stores the reception output program 60. The reception output program 60 is used in conjunction with a 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 processing is realized by the processor 46 operating as a control unit 46A according to the reception output program 60 executed on the RAM 48.

[0034] Next, the specific processing performed by the specific processing unit 290 of the data processing device 12 will be described. In the following description, the data processing device 12 will be referred to as the "server" and the smart device 14 as the "terminal".

[0035] The goal-setting and evaluation management system of the present invention mainly consists of an AI agent that functions as a terminal, a server, and a data processing device. This system supports users in effectively setting their own goals, managing their progress, and receiving appropriate feedback.

[0036] The user first enters their desired goal through their device. The goal must be specific and measurable. For example, a user might enter a goal such as "I want to increase sales by 10% in the next quarter."

[0037] The terminal sends the entered goal information to the server. The server receives this goal information and has an AI agent, a data processing device, perform analysis. The AI ​​agent refers to relevant historical data within the company and evaluates whether the goal is appropriate. Based on this evaluation, the AI ​​agent generates an assessment of the goal's achievability and any necessary adjustments, and provides this information back to the user via the server.

[0038] Furthermore, users input their progress into their devices, which enables real-time data updates on the server. The server and AI agents analyze this progress data and generate feedback indicating actions and improvements the user should take to achieve their goals. This feedback includes specific numerical evaluations and action plans.

[0039] This system enables data-driven goal setting and transparent progress evaluation and feedback. As a result, users become more motivated and can understand the concrete path to achieving their goals.

[0040] The following describes the processing flow.

[0041] Step 1:

[0042] The user enters their desired goals into the device. These goals must be specific and include deadlines and quantitative indicators.

[0043] Step 2:

[0044] The terminal sends the entered target information to the server. This information is encrypted to ensure security.

[0045] Step 3:

[0046] The server stores the received target information and requests analysis from the AI ​​agent, which is a data processing unit.

[0047] Step 4:

[0048] The AI ​​agent compares the goal information received from the server with past performance data and goals for similar job roles to evaluate the validity and feasibility of the goals.

[0049] Step 5:

[0050] Based on the analysis results, the AI ​​agent generates proposed adjustments to the goals and guidance plans for achieving them as needed, and sends them to the server.

[0051] Step 6:

[0052] The server receives suggestions from the AI ​​agent and notifies the user's device. The user can then use this feedback to review or modify their goals.

[0053] Step 7:

[0054] Once the user has reviewed and approved the goal, it will be officially registered in the system.

[0055] Step 8:

[0056] Users input and update their progress toward achieving their goals on their devices as needed. This progress information is periodically sent to the server.

[0057] Step 9:

[0058] The server analyzes the received progress data and provides the newly obtained data to the AI ​​agent.

[0059] Step 10:

[0060] The AI ​​agent analyzes progress data and creates feedback for the user, including numerical evaluations and specific improvement suggestions.

[0061] Step 11:

[0062] The server sends the generated feedback to the user's device and provides information that visualizes the progress, helping the user to systematically plan and execute actions toward achieving their goals.

[0063] (Example 1)

[0064] Next, we will describe Example 1. In the following description, the data processing device 12 will be referred to as the "server," and the smart device 14 will be referred to as the "terminal."

[0065] In setting and achieving goals, it is difficult for users to identify current challenges and appropriate solutions, and traditional systems do not adequately provide real-time progress analysis and data-driven feedback. As a result, users lack a clear path to achieving their goals. Secure data transmission is also a critical issue.

[0066] The identification process performed by the identification processing unit 290 of the data processing device 12 in Example 1 is realized by the following means.

[0067] In this invention, the server includes means for using an information processing device that receives and analyzes target information, means for evaluating the feasibility of achieving the target using a generating artificial intelligence model, and means for generating feedback in real time. This enables the user to receive specific, data-driven feedback.

[0068] "Goal information" refers to data about specific and measurable goals that users wish to achieve.

[0069] An "information input device" is a device used by users to input goal information and progress data, and generally refers to a computer or mobile device.

[0070] An "information processing device" is a device that analyzes received data and performs necessary information processing, and mainly includes servers and AI agents.

[0071] A "proposal for adjustment" refers to specific revisions or countermeasures presented to increase the likelihood of achieving the goal.

[0072] A "generative artificial intelligence model" is an AI model used to evaluate the feasibility of achieving a goal based on past data and similar cases, and to provide appropriate feedback.

[0073] "Feedback" refers to information provided to users, including evaluations of progress toward achieving goals and suggestions for improvement.

[0074] "Encrypted communication methods" refer to technologies that encrypt information before sending or receiving it in order to prevent data from being illegally viewed or altered by third parties.

[0075] The goal-setting and evaluation management system of this invention primarily includes information processing devices such as terminals, servers, and AI agents. The system aims to enable users to effectively set their own goals, manage their progress based on data, and receive appropriate feedback.

[0076] The user first uses a terminal to input a specific and measurable goal, such as "We want to increase sales by 10% in the next quarter." The input goal information is verified by the terminal and sent to the server in an appropriate format. The server then forwards this information to an AI agent, which analyzes historical data within the company. A generative artificial intelligence model is used for the analysis to assess the feasibility and generate adjustment proposals. These adjustment proposals and evaluation results are then provided to the user as feedback via the server.

[0077] Users input their daily progress into their devices, and real-time data is updated on the server. The updated data is then analyzed again by an AI agent, which generates specific feedback based on the progress. This feedback includes specific action plans and numerical evaluations necessary to achieve the goals.

[0078] The system uses encrypted communication methods to ensure the secure transmission and reception of data. This minimizes the risk of information leakage while allowing users to receive optimal support to achieve their goals.

[0079] For example, if a user sets a goal of "developing a reading habit and reading five books by the end of the month," the AI ​​agent can evaluate the feasibility of achieving this goal based on past reading-related data and provide feedback such as appropriate book suggestions and advice on time allocation.

[0080] An example of a prompt message for the generating AI model would be: "I would like to set quarterly sales targets. Please set specific target values ​​and provide feedback on their feasibility."

[0081] The flow of the specific processing in Example 1 will be explained using Figure 11.

[0082] Step 1:

[0083] The user uses a terminal to input specific goal information, such as "I want to increase sales by 10% in the next quarter." The entered data is formatted and verified on the terminal to ensure there are no errors before being sent to the server. In this step, the input is the user's goal information, and the output is structured goal data sent to the server.

[0084] Step 2:

[0085] The server immediately saves the received target data and sends a request for target analysis to the AI ​​agent. The AI ​​agent receives the target data, compares it with relevant historical databases within the company, and begins data processing. The input is the target data sent from the terminal, and the output is a trigger signal that starts processing for the AI ​​agent.

[0086] Step 3:

[0087] The AI ​​agent uses a generative AI model to analyze historical similar target data and assess the likelihood of achieving the target. This analysis employs machine learning algorithms to quantify the probability of achieving the target and identify potential obstacles. The input is target data and historical achievement data sent from the server, and the output is an assessment report on the likelihood of achievement.

[0088] Step 4:

[0089] The server receives evaluation reports from the AI ​​agent and uses them to prepare feedback for the user. The feedback generates specific advice and adjustment suggestions for achieving goals. The input is the analysis results from the AI ​​agent, and the output is feedback information customized for the user.

[0090] Step 5:

[0091] The user receives feedback and inputs progress data for a specified period into the terminal. The terminal verifies the input progress data and sends it to the server. The input is progress information provided by the user, and the output is updated data received by the server.

[0092] Step 6:

[0093] The server sends the received progress data to an AI agent for analysis. The AI ​​agent uses a generative AI model to compare the progress data with past data and formulate future action plans. The input is the progress data sent by the server, and the output is the improvement suggestions provided to the user as updated feedback.

[0094] (Application Example 1)

[0095] Next, we will explain Application Example 1. In the following explanation, the data processing device 12 will be referred to as the "server," and the smart device 14 will be referred to as the "terminal."

[0096] In modern society, while personal goal management is crucial, effective support for achieving goals is lacking. Furthermore, there are challenges in managing progress toward goal achievement and providing appropriate feedback. In this context, there is a need for automated and efficient means to manage progress based on user-defined goals and provide appropriate feedback.

[0097] The specific processing performed by the specific processing unit 290 of the data processing device 12 in Application Example 1 is realized by the following means.

[0098] In this invention, the server includes means for a computing device that receives and analyzes target information, means for an automated device that collects activity data and provides feedback to the user based on it, and means for interacting with and supporting the user using a voice input / output device. This allows the user to monitor progress toward set goals in real time through the automated device and to obtain appropriate feedback through voice interaction.

[0099] "Goal information" refers to data that expresses the user's desired objectives and target results in a specific and measurable form.

[0100] An "information processing device" is a device used to input target information, and is a device for receiving and inputting data.

[0101] A "computational device" is a device that analyzes received information and generates feedback based on goal setting and progress.

[0102] A "proposal for adjustment" refers to a proposal for specific action plans or improvement measures to achieve the goal.

[0103] "Progress status" refers to information that shows the degree of achievement and progress toward the goals set by the user.

[0104] An "automated device" is a mechanical device that autonomously collects and analyzes activity data based on a set program and provides feedback.

[0105] A "voice input / output device" is a device that analyzes voice input from a user and transmits information to the user via voice.

[0106] To implement this invention, an information processing system is required, which begins with the user inputting target information through a terminal. The terminal consists of a smartphone or personal computer, and is responsible for receiving the user's input information.

[0107] The server transmits this target information to the computing device for data analysis. The computing device is equipped with programs such as Python and performs calculations to generate adjustment proposals necessary to achieve the target. The generated adjustment proposals are fed back to the user via the server. The feedback is generated using a natural language processing library (e.g., spaCy) and includes specific improvement suggestions and progress evaluations. Encrypted communication protocols are implemented to ensure data security.

[0108] Furthermore, the automated device collects and analyzes activity data in real time. For example, a robot used in the home monitors the user's daily activities and sends the data to a server. Based on this, the server re-evaluates the degree of goal achievement and updates the feedback. This automated device is equipped with a voice input / output device and provides assistance by interacting with the user via voice.

[0109] As a concrete example, a prompt such as, "Check the user's progress toward achieving their goal and suggest the next action. Goal: Jogging for 30 minutes every day. Current progress: Only doing it 3 times a week. Create suggestion feedback," can be sent to the AI ​​model to form suggestions for the user to achieve their goal. In this way, the user can always receive guidance on how to take appropriate actions toward their set goal.

[0110] The flow of a specific process in Application Example 1 will be explained using Figure 12.

[0111] Step 1:

[0112] The user enters goal information using a terminal. Here, the user describes the goal they wish to achieve in a specific and measurable way. The entered goal information is provided by the user as input data and becomes data transmitted to the server.

[0113] Step 2:

[0114] The server transmits the target information received from the terminal to the computing device. At this stage, the target information is processed as input data for analysis. The computing device performs data analysis based on this information and generates adjustment proposals necessary to achieve the target. These adjustment proposals are returned to the server as output data.

[0115] Step 3:

[0116] The server receives adjustment suggestions from the computing device and provides them to the user as feedback. This feedback includes specific suggestions and improvement proposals generated using natural language processing. Here, prompt sentences are sent to a generating AI model, which processes and calculates the data to obtain appropriate feedback.

[0117] Step 4:

[0118] Users check their progress based on activity data collected by automated systems. The automated systems monitor the user's daily routines and activities and send this data to the server as progress data. The server receives the progress data as input and re-evaluates the degree of goal achievement.

[0119] Step 5:

[0120] The server updates the re-evaluation results based on progress data as feedback and notifies the user through an automated system. The updated feedback is transmitted via an audio input / output device. This ensures that the user always receives the latest action plan for achieving their goals.

[0121] Furthermore, an emotion engine that estimates the user's emotions may be incorporated. That is, the identification processing unit 290 may use the emotion identification model 59 to estimate the user's emotions and perform identification processing using the user's emotions.

[0122] The present invention provides an advanced management system that incorporates an emotion engine to recognize user emotions, in addition to goal setting and performance management. This system consists of a terminal, a server, an AI agent acting as a data processing unit, and the emotion engine. This allows users to receive practical and emotionally resonant support for achieving their goals.

[0123] The user first uses a terminal to input a specific goal they want to achieve. For example, a possible goal might be "increase new customers by 20% in the next three months." The terminal sends the goal information to a server, where it is analyzed by an AI agent. The AI ​​agent uses historical data within the company to evaluate the validity of the goal and generates adjustment suggestions as needed. This information is then fed back to the user via the server.

[0124] Furthermore, this system is equipped with an emotion engine that analyzes the user's emotional state from user input and behavioral data. For example, emotion estimation is performed using text input and facial recognition technology. Based on this information, the emotion engine can generate feedback and suggestions that are appropriate to the user's psychological state. If the user is feeling stressed, it will suggest messages to encourage relaxation or suggestions to adjust the pace of goal achievement.

[0125] The server sends this feedback and emotion-based suggestions to the user's device in real time. Based on this, the user can work towards achieving their goals in a more flexible and less stressful way.

[0126] As an example of this system's application, if the emotion engine determines at the end of the day that a salesperson has not made sufficient progress toward their sales target, it will display feedback such as, "It seems you haven't been able to relax much today. Let's refine your plan a bit more tomorrow." In this way, the system can provide both improved work efficiency and emotional support to users simultaneously.

[0127] The following describes the processing flow.

[0128] Step 1:

[0129] The user enters their desired goals into the device. For example, they might set a specific, measurable goal such as "increase sales by 15% in the next quarter."

[0130] Step 2:

[0131] The terminal sends the entered target information to the server. The data is encrypted to ensure secure transmission and is sent in real time over the network.

[0132] Step 3:

[0133] The server stores the received target information in a database and requests an AI agent to analyze it. This analysis evaluates the validity and achievability of the target.

[0134] Step 4:

[0135] The AI ​​agent references historical data within the company to analyze whether the goals are appropriate. If necessary, it generates adjustment proposals for achieving the goals and returns them to the server.

[0136] Step 5:

[0137] The server receives output from the AI ​​agent and sends feedback to the user's device. Here, the user can check whether their goals are appropriate.

[0138] Step 6:

[0139] Users make final confirmations about their goals and make adjustments if necessary, taking into account their own emotional state as measured by the emotion engine.

[0140] Step 7:

[0141] The terminal sends the final decision on the goal to the server, and the goal is officially confirmed. The confirmed goal serves as the basis for managing progress toward its achievement.

[0142] Step 8:

[0143] Users periodically enter their progress into their devices, and this data is sent to the server. Progress entries include the degree of achievement towards the goal and the specific actions taken.

[0144] Step 9:

[0145] The server has an AI agent analyze the progress data and receive feedback that evaluates the degree of achievement and considers the next steps. This feedback includes numerical evaluations and specific improvement suggestions.

[0146] Step 10:

[0147] The emotion engine analyzes user progress input and periodic emotional state data to determine the user's psychological state and condition.

[0148] Step 11:

[0149] Based on the analysis results from the emotion engine, the server generates feedback and suggestions tailored to the user's emotional state and sends them to the device. These suggestions may include advice aimed at increasing the user's motivation or reducing stress.

[0150] Step 12:

[0151] Users receive this feedback from their devices and use it to optimize their action plans to achieve their goals.

[0152] (Example 2)

[0153] Next, we will describe Example 2. In the following description, the data processing device 12 will be referred to as the "server" and the smart device 14 as the "terminal".

[0154] In modern organizations and for individuals, the goal-achievement process is fraught with difficulties, particularly a lack of emotional support. Traditional systems provide quantitative analysis and feedback, but insufficient support that considers the emotional state of the user. Therefore, there is a need to reduce the psychological burden during the goal-setting and achievement process.

[0155] The identification process performed by the identification processing unit 290 of the data processing device 12 in Example 2 is realized by the following means.

[0156] In this invention, the server includes means for receiving and analyzing goal information, means for analyzing the user's emotional state, and means for transmitting real-time feedback and suggestions to the user's terminal via a communication device. This allows the user to simultaneously receive adjustment suggestions for achieving their goals and emotionally-based suggestions.

[0157] "Goal information" refers to data that shows the specific objectives and indicators that users want to achieve.

[0158] An "information processing device" refers to a computer or software used to receive and analyze input data.

[0159] A "proposal for adjustment" refers to revised proposals or improvement measures for achieving the objective, which are generated as needed after evaluating the validity of the objective.

[0160] "User" refers to an individual or group that uses this system to aim to achieve their goals.

[0161] An "emotion analysis device" refers to a system or software that analyzes a user's emotional state and generates appropriate feedback or suggestions.

[0162] "Real-time" means that data processing and feedback are performed instantly without delay.

[0163] "Feedback" refers to information and advice given to users based on their progress towards achieving their goals and their emotional state.

[0164] "Communication equipment" refers to hardware or software that enables the transmission and reception of data between different devices.

[0165] "Appropriate goal setting" refers to the process of automatically setting achievable yet challenging goals, taking into account past data and current circumstances.

[0166] To implement this invention, the following system configuration and processing procedure are used: A system is constructed that combines a server, a terminal, an AI agent which is an information processing device, and an emotion analysis device.

[0167] The user first inputs goal information using a terminal. For example, they might enter a specific goal such as "increase new customers by 20% in the next three months." The terminal then sends this goal information to the server.

[0168] The server uses an information processing device, specifically an AI agent, to analyze the received target information. This analysis process refers to past target achievement data accumulated within the company to evaluate the validity of the input target. If necessary, the AI ​​agent generates adjustment proposals for achieving the target and provides this feedback to the user via the server.

[0169] Furthermore, the system uses an emotion analysis device to understand the user's emotional state. The terminal collects emotional data through the user's operations, input data, and, in some cases, facial recognition technology, and transmits this data to the emotion analysis device. The emotion analysis device analyzes this data and generates feedback and suggestions that are appropriate to the user's psychological state.

[0170] For example, if the system analyzes that a user is experiencing stress while performing data entry, it will generate relaxation-promoting advice. This information is provided to the user's terminal in real time via a server.

[0171] This allows users to receive emotionally sensitive support along with quantitative feedback, helping them achieve their goals. An example of a prompt that utilizes a generative AI model is: "Please suggest ways to reduce stress when progress is behind schedule in setting sales targets."

[0172] The flow of the specific processing in Example 2 will be explained using Figure 13.

[0173] Step 1:

[0174] The terminal provides an interface for users to input goal information they have set. Users operate the terminal and input goals such as "increase new customers by 20% in the next three months." This input data is temporarily stored within the terminal.

[0175] Step 2:

[0176] The terminal sends the entered target information to the server. During transmission, the information is precisely structured according to the data format. The transmitted data is received by the server and prepared to begin processing.

[0177] Step 3:

[0178] The server passes the received target information to the AI ​​agent. In this process, the AI ​​agent functions as an information processing device, performing data calculations to evaluate the validity of the target while referring to past target achievement data. As a result, it obtains an analysis result regarding the feasibility of achieving the target.

[0179] Step 4:

[0180] The AI ​​agent generates adjustment suggestions based on the analyzed data. A specific example might be, "With current resources, we recommend increasing new customers by 15%." These adjustment suggestions are returned to the server and prepared as feedback information.

[0181] Step 5:

[0182] The server sends the generated adjustment proposals and evaluation results to the user's terminal in real time for feedback. Here, the server performs data format checks using a communication protocol to ensure the accuracy and timely transmission of the information.

[0183] Step 6:

[0184] The device displays this feedback to the user. Information is provided to help the user receive the feedback and consider their next action. The feedback is often presented visually and in an easily understandable format.

[0185] Step 7:

[0186] The device also collects data on the user's emotional state for use in an emotion analysis device. This data includes the user's input speed, word selection, and optionally, facial expression data obtained from facial recognition.

[0187] Step 8:

[0188] The server transmits the collected emotional data to an emotion analysis device. The emotion analysis device uses data analysis techniques to perform calculations that estimate the user's emotional state. For example, it analyzes whether the user is experiencing stress.

[0189] Step 9:

[0190] The emotion analysis device generates emotion-based feedback, which the server receives and quickly transmits to the terminal. Based on this feedback, the user can adjust their approach to achieving their goals.

[0191] In this way, through data processing and user interface operation at each step, the system can provide users with appropriate goal setting and emotional support.

[0192] (Application Example 2)

[0193] Next, we will explain application example 2. In the following explanation, the data processing device 12 will be referred to as a "server" and the smart device 14 as a "terminal".

[0194] Conventional goal-achievement support systems lack advice and feedback that takes into account the user's emotional state, resulting in insufficient support for users to achieve their goals without experiencing stress. In addition, the automation of goal setting based on past data is inadequate, making it difficult to provide support optimized for individual users.

[0195] The specific processing performed by the specific processing unit 290 of the data processing device 12 in Application Example 2 is realized by the following means.

[0196] In this invention, the server includes means for analyzing an information input device for inputting target information, means equipped with an emotion engine for analyzing the user's emotional state, and means for monitoring progress and generating real-time feedback. This enables optimal advice tailored to the user's emotional state and efficient support for achieving goals based on past data.

[0197] "Goal information" refers to the specific goals that users wish to achieve, and serves as the basic data for the system to analyze.

[0198] An "information input device" is a device used by users to input target information, and usually refers to an interface device.

[0199] An "information processing device" is a computer system that analyzes input target information and generates appropriate feedback.

[0200] A "proposal for adjustment" is a set of suggestions for revisions and changes necessary in the process of achieving the goal, provided based on data analyzed by the information processing device.

[0201] The "emotional engine" is a software module that analyzes the user's emotional state and generates advice and feedback based on the analysis results.

[0202] "A means of generating evaluations in real time" refers to a system function that constantly monitors the user's progress toward achieving their goals and provides evaluations immediately.

[0203] An "encrypted communication method" is a communication protocol that encrypts data in order to send and receive information securely.

[0204] The system based on this invention provides advanced technology to support daily life within the home. First, the server receives and analyzes specific goal information that the user wishes to achieve in their daily life. The information input device is typically a portable electronic device such as a smartphone or tablet. The server receives the goal information from these devices and analyzes the data using an information processing device.

[0205] Based on the analyzed data, a system generates evaluations in real time, providing users with appropriate adjustment suggestions. The information processing device uses the open-source library TENSORFLOW® to build a generation AI model. This allows the AI ​​to generate optimal advice while evaluating the user's progress toward achieving their goals based on their past data.

[0206] Furthermore, this system is equipped with an emotion engine to analyze the user's emotions. Using OpenCV and natural language processing libraries, it analyzes visual and audio data acquired from the camera and microphone to determine the emotional state. The emotion engine can provide support, such as playing relaxing music, if the user is feeling stressed.

[0207] As a concrete example, let's consider a case where a user sets a goal of "exercising at least three times a week." Each time the user enters their goal and reports their progress, the server analyzes that information, and the generating AI model generates feedback based on their progress.

[0208] If the user's emotional state is unstable, the system will offer suggestions such as, "You need to relax today. How about going for a short walk?"

[0209] An example of a prompt message is: "Use a generative AI model to evaluate the user's progress toward achieving their goals and generate appropriate advice."

[0210] The flow of a specific process in Application Example 2 will be explained using Figure 14.

[0211] Step 1:

[0212] The terminal receives user-defined goal information via an information input device. This information, which specifically includes the user's goals and desired level of achievement, is stored in a database. It receives the user's specific goal information as input and formats it as text data.

[0213] Step 2:

[0214] The server transfers the received target information to the information processing device and begins analysis. Specifically, it uses an AI model to evaluate the difficulty of achieving the target and its feasibility by comparing it with historical data. It receives target information as input, analyzes the set target using a generating AI model, and outputs an evaluation of the target's validity as feedback.

[0215] Step 3:

[0216] Based on the analysis results, the server generates adjustment plans to achieve the goal. These are generated by an AI model and are tailored to the user's feasibility and emotional state. The adjustment plans are output as specific steps and action plans and provided as feedback to the user.

[0217] Step 4:

[0218] The server uses sensors such as cameras and microphones to analyze the user's emotional state in real time through an emotion engine. The input consists of the user's voice and video, which are analyzed using OpenCV and NLP libraries to output the user's emotional state.

[0219] Step 5:

[0220] Based on the output of the emotion engine, the server provides the user with emotionally relevant advice and adjustment suggestions. At this stage, it outputs relaxation methods such as playing music or suggesting exercises.

[0221] Step 6:

[0222] Ultimately, the user adjusts their behavior based on the adjustment suggestions and emotional feedback received from the server, and selects the next action to achieve their goal. The input is suggestions from the server, and the user adjusts their behavior based on the feedback.

[0223] 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 user input for the result of the specific processing. The control unit 46A transmits the audio data indicating 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.

[0224] Data generation model 58 is a so-called generative AI (Artificial Intelligence). An example of data generation model 58 is ChatGPT (registered trademark) (Internet search).<URL: https: / / openai.com / blog / chatgpt> ), Gemini (registered trademark) (Internet search) <url: https: gemini.google.com ?hl="ja">Examples of generative AI include the following. The data generation model 58 is obtained by performing deep learning on a neural network. The data generation model 58 is input with prompts containing instructions, and with inference data such as audio data representing speech, text data representing text, and image data representing images. The data generation model 58 infers from the input inference data according to the instructions indicated by the prompts, and outputs the inference results in data formats such as audio data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization.

[0225] In the above embodiment, an example was given in which specific processing is performed by the data processing device 12, but the technology of this disclosure is not limited thereto, and the specific processing may also be performed by the smart device 14.

[0226] [Second Embodiment]

[0227] Figure 3 shows an example of the configuration of the data processing system 210 according to the second embodiment.

[0228] As shown in Figure 3, the data processing system 210 includes a data processing device 12 and smart glasses 214. An example of the data processing device 12 is a server.

[0229] The data processing device 12 comprises a computer 22, a database 24, and a communication interface 26. The computer 22 is an example of a "computer" related to the technology of this disclosure. The computer 22 comprises a processor 28, RAM 30, and storage 32. The processor 28, RAM 30, and storage 32 are connected to a bus 34. The database 24 and the communication interface 26 are also connected to the bus 34. The communication interface 26 is connected to a network 54. An example of the network 54 is a WAN (Wide Area Network) and / or a LAN (Local Area Network).

[0230] The smart glasses 214 include a computer 36, a microphone 238, a speaker 240, a camera 42, and a communication interface 44. The computer 36 includes a processor 46, RAM 48, and storage 50. The processor 46, RAM 48, and storage 50 are connected to a bus 52. The microphone 238, speaker 240, and camera 42 are also connected to the bus 52.

[0231] The microphone 238 receives voice signals from the user 20 and receives instructions from the user 20. The microphone 238 captures the voice signals from the user 20, converts the captured voice into audio data, and outputs it to the processor 46. The speaker 240 outputs audio according to the instructions from the processor 46.

[0232] Camera 42 is a small digital camera equipped with an optical system including a lens, aperture, and shutter, and an image sensor such as a CMOS (Complementary Metal-Oxide-Semiconductor) image sensor or a CCD (Charge Coupled Device) image sensor, and captures images of the area around the user 20 (for example, an imaging range defined by a field of view equivalent to the width of a typical healthy person's field of vision).

[0233] Communication interface 44 is connected to network 54. Communication interfaces 44 and 26 are responsible for the exchange of various information between processor 46 and processor 28 via network 54. The exchange of various information between processor 46 and processor 28 using communication interfaces 44 and 26 is performed in a secure manner.

[0234] Figure 4 shows an example of the main functions of the data processing device 12 and the smart glasses 214. As shown in Figure 4, the data processing device 12 performs specific processing using the processor 28. The storage 32 stores the specific processing program 56.

[0235] The specific processing program 56 is an example of a "program" relating to the technology of this 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.

[0236] The storage 32 stores the data generation model 58 and the emotion identification model 59. The data generation model 58 and the emotion identification model 59 are used by the identification processing unit 290.

[0237] In the smart glasses 214, the processor 46 performs the reception output processing. The storage 50 stores the reception output program 60. 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 processing is realized by the processor 46 operating as a control unit 46A according to the reception output program 60 executed on the RAM 48.

[0238] Next, the identification processing performed by the identification processing unit 290 of the data processing device 12 will be described. 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".

[0239] The goal-setting and evaluation management system of the present invention mainly consists of an AI agent that functions as a terminal, a server, and a data processing device. This system supports users in effectively setting their own goals, managing their progress, and receiving appropriate feedback.

[0240] The user first enters their desired goal through their device. The goal must be specific and measurable. For example, a user might enter a goal such as "I want to increase sales by 10% in the next quarter."

[0241] The terminal sends the entered goal information to the server. The server receives this goal information and has an AI agent, a data processing device, perform analysis. The AI ​​agent refers to relevant historical data within the company and evaluates whether the goal is appropriate. Based on this evaluation, the AI ​​agent generates an assessment of the goal's achievability and any necessary adjustments, and provides this information back to the user via the server.

[0242] Furthermore, users input their progress into their devices, which enables real-time data updates on the server. The server and AI agents analyze this progress data and generate feedback indicating actions and improvements the user should take to achieve their goals. This feedback includes specific numerical evaluations and action plans.

[0243] This system enables data-driven goal setting and transparent progress evaluation and feedback. As a result, users become more motivated and can understand the concrete path to achieving their goals.

[0244] The following describes the processing flow.

[0245] Step 1:

[0246] The user enters their desired goals into the device. These goals must be specific and include deadlines and quantitative indicators.

[0247] Step 2:

[0248] The terminal sends the entered target information to the server. This information is encrypted to ensure security.

[0249] Step 3:

[0250] The server stores the received target information and requests analysis from the AI ​​agent, which is a data processing unit.

[0251] Step 4:

[0252] The AI ​​agent compares the goal information received from the server with past performance data and goals for similar job roles to evaluate the validity and feasibility of the goals.

[0253] Step 5:

[0254] Based on the analysis results, the AI ​​agent generates proposed adjustments to the goals and guidance plans for achieving them as needed, and sends them to the server.

[0255] Step 6:

[0256] The server receives suggestions from the AI ​​agent and notifies the user's device. The user can then use this feedback to review or modify their goals.

[0257] Step 7:

[0258] Once the user has reviewed and approved the goal, it will be officially registered in the system.

[0259] Step 8:

[0260] Users input and update their progress toward achieving their goals on their devices as needed. This progress information is periodically sent to the server.

[0261] Step 9:

[0262] The server analyzes the received progress data and provides the newly obtained data to the AI ​​agent.

[0263] Step 10:

[0264] The AI ​​agent analyzes progress data and creates feedback for the user, including numerical evaluations and specific improvement suggestions.

[0265] Step 11:

[0266] The server sends the generated feedback to the user's device and provides information that visualizes the progress, helping the user to systematically plan and execute actions toward achieving their goals.

[0267] (Example 1)

[0268] Next, we will describe Example 1. 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."

[0269] In setting and achieving goals, it is difficult for users to identify current challenges and appropriate solutions, and traditional systems do not adequately provide real-time progress analysis and data-driven feedback. As a result, users lack a clear path to achieving their goals. Secure data transmission is also a critical issue.

[0270] The identification process performed by the identification processing unit 290 of the data processing device 12 in Example 1 is realized by the following means.

[0271] In this invention, the server includes means for using an information processing device that receives and analyzes target information, means for evaluating the feasibility of achieving the target using a generating artificial intelligence model, and means for generating feedback in real time. This enables the user to receive specific, data-driven feedback.

[0272] "Goal information" refers to data about specific and measurable goals that users wish to achieve.

[0273] An "information input device" is a device used by users to input goal information and progress data, and generally refers to a computer or mobile device.

[0274] An "information processing device" is a device that analyzes received data and performs necessary information processing, and mainly includes servers and AI agents.

[0275] A "proposal for adjustment" refers to specific revisions or countermeasures presented to increase the likelihood of achieving the goal.

[0276] A "generative artificial intelligence model" is an AI model used to evaluate the feasibility of achieving a goal based on past data and similar cases, and to provide appropriate feedback.

[0277] "Feedback" refers to information provided to users, including evaluations of progress toward achieving goals and suggestions for improvement.

[0278] "Encrypted communication methods" refer to technologies that encrypt information before sending or receiving it in order to prevent data from being illegally viewed or altered by third parties.

[0279] The goal-setting and evaluation management system of this invention primarily includes information processing devices such as terminals, servers, and AI agents. The system aims to enable users to effectively set their own goals, manage their progress based on data, and receive appropriate feedback.

[0280] The user first uses a terminal to input a specific and measurable goal, such as "We want to increase sales by 10% in the next quarter." The input goal information is verified by the terminal and sent to the server in an appropriate format. The server then forwards this information to an AI agent, which analyzes historical data within the company. A generative artificial intelligence model is used for the analysis to assess the feasibility and generate adjustment proposals. These adjustment proposals and evaluation results are then provided to the user as feedback via the server.

[0281] Users input their daily progress into their devices, and real-time data is updated on the server. The updated data is then analyzed again by an AI agent, which generates specific feedback based on the progress. This feedback includes specific action plans and numerical evaluations necessary to achieve the goals.

[0282] The system uses an encrypted communication method to achieve secure transmission and reception of data. As a result, users can receive optimal support for achieving their goals while minimizing the risk of information leakage.

[0283] As a specific example, when a user sets a goal of "developing a reading habit and reading 5 books by the end of the month," the AI agent can evaluate the achievability based on past reading-related data and provide feedback in the form of appropriate book recommendations and advice on time allocation.

[0284] As an example of a prompt sentence for the generative AI model, it is assumed that a sentence such as "I want to set quarterly sales targets. Please set specific target values and provide feedback on their achievability." is input.

[0285] The flow of the specific process in Example 1 will be described using FIG. 11.

[0286] Step 1:

[0287] The user uses the terminal to input specific target information such as "want to increase sales by 10% in the next quarter," which is their goal. The input data is checked for format within the terminal, and after verifying that there are no deficiencies, it is sent to the server. The input for this step is the user's target information, and the output is the structured target data sent to the server.

[0288] Step 2:

[0289] The server immediately stores the received target data and sends a request for target analysis to the AI agent. The AI agent receives the target data, matches it with the past related database within the company, and starts data processing. The input is the target data sent from the terminal, and the output is the trigger signal for the AI agent to start processing.

[0290] Step 3:

[0291] The AI ​​agent uses a generative AI model to analyze historical similar target data and assess the likelihood of achieving the target. This analysis employs machine learning algorithms to quantify the probability of achieving the target and identify potential obstacles. The input is target data and historical achievement data sent from the server, and the output is an assessment report on the likelihood of achievement.

[0292] Step 4:

[0293] The server receives evaluation reports from the AI ​​agent and uses them to prepare feedback for the user. The feedback generates specific advice and adjustment suggestions for achieving goals. The input is the analysis results from the AI ​​agent, and the output is feedback information customized for the user.

[0294] Step 5:

[0295] The user receives feedback and inputs progress data for a specified period into the terminal. The terminal verifies the input progress data and sends it to the server. The input is progress information provided by the user, and the output is updated data received by the server.

[0296] Step 6:

[0297] The server sends the received progress data to an AI agent for analysis. The AI ​​agent uses a generative AI model to compare the progress data with past data and formulate future action plans. The input is the progress data sent by the server, and the output is the improvement suggestions provided to the user as updated feedback.

[0298] (Application Example 1)

[0299] Next, we will explain Application Example 1. In the following explanation, the data processing device 12 will be referred to as the "server," and the smart glasses 214 will be referred to as the "terminal."

[0300] In modern society, management for individuals to achieve their goals is important, but effective support for it is lacking. Also, there are issues in the management of progress towards goal achievement and the provision of appropriate feedback. In such a situation, there is a need for means to automatically and efficiently manage the progress status based on the goals set by users and provide appropriate feedback.

[0301] The specific processing by the specific processing unit 290 of the data processing device 12 in Application Example 1 is realized by the following means.

[0302] In this invention, the server includes means for providing a computing device that receives and analyzes goal information, means for providing an automatic device that collects activity data and provides feedback to the user based on it, and means for interacting with and supporting the user using a voice input / output device. Thereby, the user can monitor the progress towards the goals set through the automatic device in real time and obtain appropriate feedback through voice interaction.

[0303] "Goal information" is data that expresses the purpose or result that the user wants to achieve in a specific and measurable form.

[0304] "Information processing device" is a device used for inputting goal information and is a device for receiving and inputting data.

[0305] "Computing device" is a device that analyzes the received information and generates feedback based on goal setting and progress status.

[0306] "Adjustment plan" refers to a proposal for a specific action plan or improvement measure for goal achievement.

[0307] "Progress status" is information indicating the degree of achievement or progress towards the goals set by the user.

[0308] An "automated device" is a mechanical device that autonomously collects and analyzes activity data based on a set program and provides feedback.

[0309] A "voice input / output device" is a device that analyzes voice input from a user and transmits information to the user via voice.

[0310] To implement this invention, an information processing system is required, which begins with the user inputting target information through a terminal. The terminal consists of a smartphone or personal computer, and is responsible for receiving the user's input information.

[0311] The server transmits this target information to the computing device for data analysis. The computing device is equipped with programs such as Python and performs calculations to generate adjustment proposals necessary to achieve the target. The generated adjustment proposals are fed back to the user via the server. The feedback is generated using a natural language processing library (e.g., spaCy) and includes specific improvement suggestions and progress evaluations. Encrypted communication protocols are implemented to ensure data security.

[0312] Furthermore, the automated device collects and analyzes activity data in real time. For example, a robot used in the home monitors the user's daily activities and sends the data to a server. Based on this, the server re-evaluates the degree of goal achievement and updates the feedback. This automated device is equipped with a voice input / output device and provides assistance by interacting with the user via voice.

[0313] As a concrete example, a prompt such as, "Check the user's progress toward achieving their goal and suggest the next action. Goal: Jogging for 30 minutes every day. Current progress: Only doing it 3 times a week. Create suggestion feedback," can be sent to the AI ​​model to form suggestions for the user to achieve their goal. In this way, the user can always receive guidance on how to take appropriate actions toward their set goal.

[0314] The flow of a specific process in Application Example 1 will be explained using Figure 12.

[0315] Step 1:

[0316] The user enters goal information using a terminal. Here, the user describes the goal they wish to achieve in a specific and measurable way. The entered goal information is provided by the user as input data and becomes data transmitted to the server.

[0317] Step 2:

[0318] The server transmits the target information received from the terminal to the computing device. At this stage, the target information is processed as input data for analysis. The computing device performs data analysis based on this information and generates adjustment proposals necessary to achieve the target. These adjustment proposals are returned to the server as output data.

[0319] Step 3:

[0320] The server receives adjustment suggestions from the computing device and provides them to the user as feedback. This feedback includes specific suggestions and improvement proposals generated using natural language processing. Here, prompt sentences are sent to a generating AI model, which processes and calculates the data to obtain appropriate feedback.

[0321] Step 4:

[0322] Users check their progress based on activity data collected by automated systems. The automated systems monitor the user's daily routines and activities and send this data to the server as progress data. The server receives the progress data as input and re-evaluates the degree of goal achievement.

[0323] Step 5:

[0324] The server updates the re-evaluation results based on progress data as feedback and notifies the user through an automated system. The updated feedback is transmitted via an audio input / output device. This ensures that the user always receives the latest action plan for achieving their goals.

[0325] Furthermore, an emotion engine that estimates the user's emotions may be incorporated. That is, the identification processing unit 290 may use the emotion identification model 59 to estimate the user's emotions and perform identification processing using the user's emotions.

[0326] The present invention provides an advanced management system that incorporates an emotion engine to recognize user emotions, in addition to goal setting and performance management. This system consists of a terminal, a server, an AI agent acting as a data processing unit, and the emotion engine. This allows users to receive practical and emotionally resonant support for achieving their goals.

[0327] The user first uses a terminal to input a specific goal they want to achieve. For example, a possible goal might be "increase new customers by 20% in the next three months." The terminal sends the goal information to a server, where it is analyzed by an AI agent. The AI ​​agent uses historical data within the company to evaluate the validity of the goal and generates adjustment suggestions as needed. This information is then fed back to the user via the server.

[0328] Furthermore, this system is equipped with an emotion engine that analyzes the user's emotional state from user input and behavioral data. For example, emotion estimation is performed using text input and facial recognition technology. Based on this information, the emotion engine can generate feedback and suggestions that are appropriate to the user's psychological state. If the user is feeling stressed, it will suggest messages to encourage relaxation or suggestions to adjust the pace of goal achievement.

[0329] The server sends this feedback and emotion-based suggestions to the user's device in real time. Based on this, the user can work towards achieving their goals in a more flexible and less stressful way.

[0330] As an example of this system's application, if the emotion engine determines at the end of the day that a salesperson has not made sufficient progress toward their sales target, it will display feedback such as, "It seems you haven't been able to relax much today. Let's refine your plan a bit more tomorrow." In this way, the system can provide both improved work efficiency and emotional support to users simultaneously.

[0331] The following describes the processing flow.

[0332] Step 1:

[0333] The user enters their desired goals into the device. For example, they might set a specific, measurable goal such as "increase sales by 15% in the next quarter."

[0334] Step 2:

[0335] The terminal sends the entered target information to the server. The data is encrypted to ensure secure transmission and is sent in real time over the network.

[0336] Step 3:

[0337] The server stores the received target information in a database and requests an AI agent to analyze it. This analysis evaluates the validity and achievability of the target.

[0338] Step 4:

[0339] The AI ​​agent references historical data within the company to analyze whether the goals are appropriate. If necessary, it generates adjustment proposals for achieving the goals and returns them to the server.

[0340] Step 5:

[0341] The server receives output from the AI ​​agent and sends feedback to the user's device. Here, the user can check whether their goals are appropriate.

[0342] Step 6:

[0343] Users make final confirmations about their goals and make adjustments if necessary, taking into account their own emotional state as measured by the emotion engine.

[0344] Step 7:

[0345] The terminal sends the final decision on the goal to the server, and the goal is officially confirmed. The confirmed goal serves as the basis for managing progress toward its achievement.

[0346] Step 8:

[0347] Users periodically enter their progress into their devices, and this data is sent to the server. Progress entries include the degree of achievement towards the goal and the specific actions taken.

[0348] Step 9:

[0349] The server has an AI agent analyze the progress data and receive feedback that evaluates the degree of achievement and considers the next steps. This feedback includes numerical evaluations and specific improvement suggestions.

[0350] Step 10:

[0351] The emotion engine analyzes user progress input and periodic emotional state data to determine the user's psychological state and condition.

[0352] Step 11:

[0353] Based on the analysis results from the emotion engine, the server generates feedback and suggestions tailored to the user's emotional state and sends them to the device. These suggestions may include advice aimed at increasing the user's motivation or reducing stress.

[0354] Step 12:

[0355] Users receive this feedback from their devices and use it to optimize their action plans to achieve their goals.

[0356] (Example 2)

[0357] Next, we will describe Example 2. 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".

[0358] In modern organizations and for individuals, the goal-achievement process is fraught with difficulties, particularly a lack of emotional support. Traditional systems provide quantitative analysis and feedback, but insufficient support that considers the emotional state of the user. Therefore, there is a need to reduce the psychological burden during the goal-setting and achievement process.

[0359] The identification process performed by the identification processing unit 290 of the data processing device 12 in Example 2 is realized by the following means.

[0360] In this invention, the server includes means for receiving and analyzing goal information, means for analyzing the user's emotional state, and means for transmitting real-time feedback and suggestions to the user's terminal via a communication device. This allows the user to simultaneously receive adjustment suggestions for achieving their goals and emotionally-based suggestions.

[0361] "Goal information" refers to data that shows the specific objectives and indicators that users want to achieve.

[0362] An "information processing device" refers to a computer or software used to receive and analyze input data.

[0363] A "proposal for adjustment" refers to revised proposals or improvement measures for achieving the objective, which are generated as needed after evaluating the validity of the objective.

[0364] "User" refers to an individual or group that uses this system to aim to achieve their goals.

[0365] An "emotion analysis device" refers to a system or software that analyzes a user's emotional state and generates appropriate feedback or suggestions.

[0366] "Real-time" means that data processing and feedback are performed instantly without delay.

[0367] "Feedback" refers to information and advice given to users based on their progress towards achieving their goals and their emotional state.

[0368] "Communication equipment" refers to hardware or software that enables the transmission and reception of data between different devices.

[0369] "Appropriate goal setting" refers to the process of automatically setting achievable yet challenging goals, taking into account past data and current circumstances.

[0370] To implement this invention, the following system configuration and processing procedure are used: A system is constructed that combines a server, a terminal, an AI agent which is an information processing device, and an emotion analysis device.

[0371] The user first inputs goal information using a terminal. For example, they might enter a specific goal such as "increase new customers by 20% in the next three months." The terminal then sends this goal information to the server.

[0372] The server uses an information processing device, specifically an AI agent, to analyze the received target information. This analysis process refers to past target achievement data accumulated within the company to evaluate the validity of the input target. If necessary, the AI ​​agent generates adjustment proposals for achieving the target and provides this feedback to the user via the server.

[0373] Furthermore, the system uses an emotion analysis device to understand the user's emotional state. The terminal collects emotional data through the user's operations, input data, and, in some cases, facial recognition technology, and transmits this data to the emotion analysis device. The emotion analysis device analyzes this data and generates feedback and suggestions that are appropriate to the user's psychological state.

[0374] For example, if the system analyzes that a user is experiencing stress while performing data entry, it will generate relaxation-promoting advice. This information is provided to the user's terminal in real time via a server.

[0375] This allows users to receive emotionally sensitive support along with quantitative feedback, helping them achieve their goals. An example of a prompt that utilizes a generative AI model is: "Please suggest ways to reduce stress when progress is behind schedule in setting sales targets."

[0376] The flow of the specific processing in Example 2 will be explained using Figure 13.

[0377] Step 1:

[0378] The terminal provides an interface for users to input goal information they have set. Users operate the terminal and input goals such as "increase new customers by 20% in the next three months." This input data is temporarily stored within the terminal.

[0379] Step 2:

[0380] The terminal sends the entered target information to the server. During transmission, the information is precisely structured according to the data format. The transmitted data is received by the server and prepared to begin processing.

[0381] Step 3:

[0382] The server passes the received target information to the AI ​​agent. In this process, the AI ​​agent functions as an information processing device, performing data calculations to evaluate the validity of the target while referring to past target achievement data. As a result, it obtains an analysis result regarding the feasibility of achieving the target.

[0383] Step 4:

[0384] The AI ​​agent generates adjustment suggestions based on the analyzed data. A specific example might be, "With current resources, we recommend increasing new customers by 15%." These adjustment suggestions are returned to the server and prepared as feedback information.

[0385] Step 5:

[0386] The server sends the generated adjustment proposals and evaluation results to the user's terminal in real time for feedback. Here, the server performs data format checks using a communication protocol to ensure the accuracy and timely transmission of the information.

[0387] Step 6:

[0388] The device displays this feedback to the user. Information is provided to help the user receive the feedback and consider their next action. The feedback is often presented visually and in an easily understandable format.

[0389] Step 7:

[0390] The device also collects data on the user's emotional state for use in an emotion analysis device. This data includes the user's input speed, word selection, and optionally, facial expression data obtained from facial recognition.

[0391] Step 8:

[0392] The server transmits the collected emotional data to an emotion analysis device. The emotion analysis device uses data analysis techniques to perform calculations that estimate the user's emotional state. For example, it analyzes whether the user is experiencing stress.

[0393] Step 9:

[0394] The emotion analysis device generates emotion-based feedback, which the server receives and quickly transmits to the terminal. Based on this feedback, the user can adjust their approach to achieving their goals.

[0395] In this way, through data processing and user interface operation at each step, the system can provide users with appropriate goal setting and emotional support.

[0396] (Application Example 2)

[0397] Next, we will explain application example 2. In the following explanation, the data processing device 12 will be referred to as the "server," and the smart glasses 214 will be referred to as the "terminal."

[0398] Conventional goal-achievement support systems lack advice and feedback that takes into account the user's emotional state, resulting in insufficient support for users to achieve their goals without experiencing stress. In addition, the automation of goal setting based on past data is inadequate, making it difficult to provide support optimized for individual users.

[0399] The specific processing performed by the specific processing unit 290 of the data processing device 12 in Application Example 2 is realized by the following means.

[0400] In this invention, the server includes means for analyzing an information input device for inputting target information, means equipped with an emotion engine for analyzing the user's emotional state, and means for monitoring progress and generating real-time feedback. This enables optimal advice tailored to the user's emotional state and efficient support for achieving goals based on past data.

[0401] "Goal information" refers to the specific goals that users wish to achieve, and serves as the basic data for the system to analyze.

[0402] An "information input device" is a device used by users to input target information, and usually refers to an interface device.

[0403] An "information processing device" is a computer system that analyzes input target information and generates appropriate feedback.

[0404] A "proposal for adjustment" is a set of suggestions for revisions and changes necessary in the process of achieving the goal, provided based on data analyzed by the information processing device.

[0405] The "emotional engine" is a software module that analyzes the user's emotional state and generates advice and feedback based on the analysis results.

[0406] "A means of generating evaluations in real time" refers to a system function that constantly monitors the user's progress toward achieving their goals and provides evaluations immediately.

[0407] An "encrypted communication method" is a communication protocol that encrypts data in order to send and receive information securely.

[0408] The system based on this invention provides advanced technology to support daily life within the home. First, the server receives and analyzes specific goal information that the user wishes to achieve in their daily life. The information input device is typically a portable electronic device such as a smartphone or tablet. The server receives the goal information from these devices and analyzes the data using an information processing device.

[0409] Based on the analyzed data, a system generates evaluations in real time, providing users with appropriate adjustment suggestions. The information processing unit utilizes the open-source library TensorFlow to build a generative AI model. This allows the AI ​​to generate optimal advice while evaluating the user's progress toward achieving their goals based on their past data.

[0410] Furthermore, this system is equipped with an emotion engine to analyze the user's emotions. Using OpenCV and natural language processing libraries, it analyzes visual and audio data acquired from the camera and microphone to determine the emotional state. The emotion engine can provide support, such as playing relaxing music, if the user is feeling stressed.

[0411] As a concrete example, let's consider a case where a user sets a goal of "exercising at least three times a week." Each time the user enters their goal and reports their progress, the server analyzes that information, and the generating AI model generates feedback based on their progress.

[0412] If the user's emotional state is unstable, the system will offer suggestions such as, "You need to relax today. How about going for a short walk?"

[0413] An example of a prompt message is: "Use a generative AI model to evaluate the user's progress toward achieving their goals and generate appropriate advice."

[0414] The flow of a specific process in Application Example 2 will be explained using Figure 14.

[0415] Step 1:

[0416] The terminal receives user-defined goal information via an information input device. This information, which specifically includes the user's goals and desired level of achievement, is stored in a database. It receives the user's specific goal information as input and formats it as text data.

[0417] Step 2:

[0418] The server transfers the received target information to the information processing device and begins analysis. Specifically, it uses an AI model to evaluate the difficulty of achieving the target and its feasibility by comparing it with historical data. It receives target information as input, analyzes the set target using a generating AI model, and outputs an evaluation of the target's validity as feedback.

[0419] Step 3:

[0420] Based on the analysis results, the server generates adjustment plans to achieve the goal. These are generated by an AI model and are tailored to the user's feasibility and emotional state. The adjustment plans are output as specific steps and action plans and provided as feedback to the user.

[0421] Step 4:

[0422] The server uses sensors such as cameras and microphones to analyze the user's emotional state in real time through an emotion engine. The input consists of the user's voice and video, which are analyzed using OpenCV and NLP libraries to output the user's emotional state.

[0423] Step 5:

[0424] Based on the output of the emotion engine, the server provides the user with emotionally relevant advice and adjustment suggestions. At this stage, it outputs relaxation methods such as playing music or suggesting exercises.

[0425] Step 6:

[0426] Ultimately, the user adjusts their behavior based on the adjustment suggestions and emotional feedback received from the server, and selects the next action to achieve their goal. The input is suggestions from the server, and the user adjusts their behavior based on the feedback.

[0427] 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 user input for the result of the specific processing. The control unit 46A transmits the audio data indicating user input acquired by the microphone 238 to the data processing unit 12. In the data processing unit 12, the specific processing unit 290 acquires the audio data.

[0428] Data generation model 58 is a type of so-called generative AI (Artificial Intelligence). One example of data generation model 58 is ChatGPT (Internet search<URL: https: / / openai.com / blog / chatgpt> ), Gemini (Internet search) <url: https: gemini.google.com ?hl="ja">Examples of generative AI include the following. The data generation model 58 is obtained by performing deep learning on a neural network. The data generation model 58 is input with prompts containing instructions, and with inference data such as audio data representing speech, text data representing text, and image data representing images. The data generation model 58 infers from the input inference data according to the instructions indicated by the prompts, and outputs the inference results in data formats such as audio data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization.

[0429] In the above embodiment, an example was given in which specific processing is performed by the data processing device 12, but the technology of this disclosure is not limited thereto, and the specific processing may also be performed by the smart glasses 214.

[0430] [Third Embodiment]

[0431] Figure 5 shows an example of the configuration of the data processing system 310 according to the third embodiment.

[0432] As shown in Figure 5, the data processing system 310 includes a data processing device 12 and a headset terminal 314. An example of the data processing device 12 is a server.

[0433] The data processing device 12 comprises a computer 22, a database 24, and a communication interface 26. The computer 22 is an example of a "computer" related to the technology of this disclosure. The computer 22 comprises a processor 28, RAM 30, and storage 32. The processor 28, RAM 30, and storage 32 are connected to a bus 34. The database 24 and the communication interface 26 are also connected to the bus 34. The communication interface 26 is connected to a network 54. An example of the network 54 is a WAN (Wide Area Network) and / or a LAN (Local Area Network).

[0434] The headset terminal 314 includes a computer 36, a microphone 238, a speaker 240, a camera 42, a communication interface 44, and a display 343. The computer 36 includes a processor 46, RAM 48, and storage 50. The processor 46, RAM 48, and storage 50 are connected to a bus 52. The microphone 238, speaker 240, camera 42, and display 343 are also connected to the bus 52.

[0435] The microphone 238 receives voice signals from the user 20 and receives instructions from the user 20. The microphone 238 captures the voice signals from the user 20, converts the captured voice into audio data, and outputs it to the processor 46. The speaker 240 outputs audio according to the instructions from the processor 46.

[0436] Camera 42 is a small digital camera equipped with an optical system including a lens, aperture, and shutter, and an image sensor such as a CMOS (Complementary Metal-Oxide-Semiconductor) image sensor or a CCD (Charge Coupled Device) image sensor, and captures images of the area around the user 20 (for example, an imaging range defined by a field of view equivalent to the width of a typical healthy person's field of vision).

[0437] Communication interface 44 is connected to network 54. Communication interfaces 44 and 26 are responsible for the exchange of various information between processor 46 and processor 28 via network 54. The exchange of various information between processor 46 and processor 28 using communication interfaces 44 and 26 is performed in a secure manner.

[0438] Figure 6 shows an example of the main functions of the data processing device 12 and the headset terminal 314. As shown in Figure 6, the data processing device 12 performs specific processing using the processor 28. The storage 32 stores the specific processing program 56.

[0439] The specific processing program 56 is an example of a "program" relating to the technology of this 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.

[0440] The storage 32 stores the data generation model 58 and the emotion identification model 59. The data generation model 58 and the emotion identification model 59 are used by the identification processing unit 290.

[0441] In the headset terminal 314, the processor 46 performs the reception output processing. The storage 50 stores the reception output program 60. 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 processing is realized by the processor 46 operating as a control unit 46A according to the reception output program 60 executed on the RAM 48.

[0442] Next, the specific processing performed by the specific processing unit 290 of the data processing device 12 will be described. In the following description, the data processing device 12 will be referred to as the "server" and the headset terminal 314 will be referred to as the "terminal".

[0443] The goal-setting and evaluation management system of the present invention mainly consists of an AI agent that functions as a terminal, a server, and a data processing device. This system supports users in effectively setting their own goals, managing their progress, and receiving appropriate feedback.

[0444] The user first enters their desired goal through their device. The goal must be specific and measurable. For example, a user might enter a goal such as "I want to increase sales by 10% in the next quarter."

[0445] The terminal sends the entered goal information to the server. The server receives this goal information and has an AI agent, a data processing device, perform analysis. The AI ​​agent refers to relevant historical data within the company and evaluates whether the goal is appropriate. Based on this evaluation, the AI ​​agent generates an assessment of the goal's achievability and any necessary adjustments, and provides this information back to the user via the server.

[0446] Furthermore, users input their progress into their devices, which enables real-time data updates on the server. The server and AI agents analyze this progress data and generate feedback indicating actions and improvements the user should take to achieve their goals. This feedback includes specific numerical evaluations and action plans.

[0447] This system enables data-driven goal setting and transparent progress evaluation and feedback. As a result, users become more motivated and can understand the concrete path to achieving their goals.

[0448] The following describes the processing flow.

[0449] Step 1:

[0450] The user enters their desired goals into the device. These goals must be specific and include deadlines and quantitative indicators.

[0451] Step 2:

[0452] The terminal sends the entered target information to the server. This information is encrypted to ensure security.

[0453] Step 3:

[0454] The server stores the received target information and requests analysis from the AI ​​agent, which is a data processing unit.

[0455] Step 4:

[0456] The AI ​​agent compares the goal information received from the server with past performance data and goals for similar job roles to evaluate the validity and feasibility of the goals.

[0457] Step 5:

[0458] Based on the analysis results, the AI ​​agent generates proposed adjustments to the goals and guidance plans for achieving them as needed, and sends them to the server.

[0459] Step 6:

[0460] The server receives suggestions from the AI ​​agent and notifies the user's device. The user can then use this feedback to review or modify their goals.

[0461] Step 7:

[0462] Once the user has reviewed and approved the goal, it will be officially registered in the system.

[0463] Step 8:

[0464] Users input and update their progress toward achieving their goals on their devices as needed. This progress information is periodically sent to the server.

[0465] Step 9:

[0466] The server analyzes the received progress data and provides the newly obtained data to the AI ​​agent.

[0467] Step 10:

[0468] The AI ​​agent analyzes progress data and creates feedback for the user, including numerical evaluations and specific improvement suggestions.

[0469] Step 11:

[0470] The server sends the generated feedback to the user's device and provides information that visualizes the progress, helping the user to systematically plan and execute actions toward achieving their goals.

[0471] (Example 1)

[0472] Next, we will describe Example 1. 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."

[0473] In setting and achieving goals, it is difficult for users to identify current challenges and appropriate solutions, and traditional systems do not adequately provide real-time progress analysis and data-driven feedback. As a result, users lack a clear path to achieving their goals. Secure data transmission is also a critical issue.

[0474] The identification process performed by the identification processing unit 290 of the data processing device 12 in Example 1 is realized by the following means.

[0475] In this invention, the server includes means for using an information processing device that receives and analyzes target information, means for evaluating the feasibility of achieving the target using a generating artificial intelligence model, and means for generating feedback in real time. This enables the user to receive specific, data-driven feedback.

[0476] "Goal information" refers to data about specific and measurable goals that users wish to achieve.

[0477] An "information input device" is a device used by users to input goal information and progress data, and generally refers to a computer or mobile device.

[0478] An "information processing device" is a device that analyzes received data and performs necessary information processing, and mainly includes servers and AI agents.

[0479] A "proposal for adjustment" refers to specific revisions or countermeasures presented to increase the likelihood of achieving the goal.

[0480] A "generative artificial intelligence model" is an AI model used to evaluate the feasibility of achieving a goal based on past data and similar cases, and to provide appropriate feedback.

[0481] "Feedback" refers to information provided to users, including evaluations of progress toward achieving goals and suggestions for improvement.

[0482] "Encrypted communication methods" refer to technologies that encrypt information before sending or receiving it in order to prevent data from being illegally viewed or altered by third parties.

[0483] The goal-setting and evaluation management system of this invention primarily includes information processing devices such as terminals, servers, and AI agents. The system aims to enable users to effectively set their own goals, manage their progress based on data, and receive appropriate feedback.

[0484] The user first uses a terminal to input a specific and measurable goal, such as "We want to increase sales by 10% in the next quarter." The input goal information is verified by the terminal and sent to the server in an appropriate format. The server then forwards this information to an AI agent, which analyzes historical data within the company. A generative artificial intelligence model is used for the analysis to assess the feasibility and generate adjustment proposals. These adjustment proposals and evaluation results are then provided to the user as feedback via the server.

[0485] Users input their daily progress into their devices, and real-time data is updated on the server. The updated data is then analyzed again by an AI agent, which generates specific feedback based on the progress. This feedback includes specific action plans and numerical evaluations necessary to achieve the goals.

[0486] The system uses encrypted communication methods to ensure the secure transmission and reception of data. This minimizes the risk of information leakage while allowing users to receive optimal support to achieve their goals.

[0487] For example, if a user sets a goal of "developing a reading habit and reading five books by the end of the month," the AI ​​agent can evaluate the feasibility of achieving this goal based on past reading-related data and provide feedback such as appropriate book suggestions and advice on time allocation.

[0488] An example of a prompt message for the generating AI model would be: "I would like to set quarterly sales targets. Please set specific target values ​​and provide feedback on their feasibility."

[0489] The flow of the specific processing in Example 1 will be explained using Figure 11.

[0490] Step 1:

[0491] The user uses a terminal to input specific goal information, such as "I want to increase sales by 10% in the next quarter." The entered data is formatted and verified on the terminal to ensure there are no errors before being sent to the server. In this step, the input is the user's goal information, and the output is structured goal data sent to the server.

[0492] Step 2:

[0493] The server immediately saves the received target data and sends a request for target analysis to the AI ​​agent. The AI ​​agent receives the target data, compares it with relevant historical databases within the company, and begins data processing. The input is the target data sent from the terminal, and the output is a trigger signal that starts processing for the AI ​​agent.

[0494] Step 3:

[0495] The AI ​​agent uses a generative AI model to analyze historical similar target data and assess the likelihood of achieving the target. This analysis employs machine learning algorithms to quantify the probability of achieving the target and identify potential obstacles. The input is target data and historical achievement data sent from the server, and the output is an assessment report on the likelihood of achievement.

[0496] Step 4:

[0497] The server receives evaluation reports from the AI ​​agent and uses them to prepare feedback for the user. The feedback generates specific advice and adjustment suggestions for achieving goals. The input is the analysis results from the AI ​​agent, and the output is feedback information customized for the user.

[0498] Step 5:

[0499] The user receives feedback and inputs progress data for a specified period into the terminal. The terminal verifies the input progress data and sends it to the server. The input is progress information provided by the user, and the output is updated data received by the server.

[0500] Step 6:

[0501] The server sends the received progress data to an AI agent for analysis. The AI ​​agent uses a generative AI model to compare the progress data with past data and formulate future action plans. The input is the progress data sent by the server, and the output is the improvement suggestions provided to the user as updated feedback.

[0502] (Application Example 1)

[0503] Next, we will explain Application Example 1. In the following explanation, 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."

[0504] In modern society, while personal goal management is crucial, effective support for achieving goals is lacking. Furthermore, there are challenges in managing progress toward goal achievement and providing appropriate feedback. In this context, there is a need for automated and efficient means to manage progress based on user-defined goals and provide appropriate feedback.

[0505] The specific processing performed by the specific processing unit 290 of the data processing device 12 in Application Example 1 is realized by the following means.

[0506] In this invention, the server includes means for a computing device that receives and analyzes target information, means for an automated device that collects activity data and provides feedback to the user based on it, and means for interacting with and supporting the user using a voice input / output device. This allows the user to monitor progress toward set goals in real time through the automated device and to obtain appropriate feedback through voice interaction.

[0507] "Goal information" refers to data that expresses the user's desired objectives and target results in a specific and measurable form.

[0508] An "information processing device" is a device used to input target information, and is a device for receiving and inputting data.

[0509] A "computational device" is a device that analyzes received information and generates feedback based on goal setting and progress.

[0510] A "proposal for adjustment" refers to a proposal for specific action plans or improvement measures to achieve the goal.

[0511] "Progress status" refers to information that shows the degree of achievement and progress toward the goals set by the user.

[0512] An "automated device" is a mechanical device that autonomously collects and analyzes activity data based on a set program and provides feedback.

[0513] A "voice input / output device" is a device that analyzes voice input from a user and transmits information to the user via voice.

[0514] To implement this invention, an information processing system is required, which begins with the user inputting target information through a terminal. The terminal consists of a smartphone or personal computer, and is responsible for receiving the user's input information.

[0515] The server transmits this target information to the computing device for data analysis. The computing device is equipped with programs such as Python and performs calculations to generate adjustment proposals necessary to achieve the target. The generated adjustment proposals are fed back to the user via the server. The feedback is generated using a natural language processing library (e.g., spaCy) and includes specific improvement suggestions and progress evaluations. Encrypted communication protocols are implemented to ensure data security.

[0516] Furthermore, the automated device collects and analyzes activity data in real time. For example, a robot used in the home monitors the user's daily activities and sends the data to a server. Based on this, the server re-evaluates the degree of goal achievement and updates the feedback. This automated device is equipped with a voice input / output device and provides assistance by interacting with the user via voice.

[0517] As a concrete example, a prompt such as, "Check the user's progress toward achieving their goal and suggest the next action. Goal: Jogging for 30 minutes every day. Current progress: Only doing it 3 times a week. Create suggestion feedback," can be sent to the AI ​​model to form suggestions for the user to achieve their goal. In this way, the user can always receive guidance on how to take appropriate actions toward their set goal.

[0518] The flow of a specific process in Application Example 1 will be explained using Figure 12.

[0519] Step 1:

[0520] The user enters goal information using a terminal. Here, the user describes the goal they wish to achieve in a specific and measurable way. The entered goal information is provided by the user as input data and becomes data transmitted to the server.

[0521] Step 2:

[0522] The server transmits the target information received from the terminal to the computing device. At this stage, the target information is processed as input data for analysis. The computing device performs data analysis based on this information and generates adjustment proposals necessary to achieve the target. These adjustment proposals are returned to the server as output data.

[0523] Step 3:

[0524] The server receives adjustment suggestions from the computing device and provides them to the user as feedback. This feedback includes specific suggestions and improvement proposals generated using natural language processing. Here, prompt sentences are sent to a generating AI model, which processes and calculates the data to obtain appropriate feedback.

[0525] Step 4:

[0526] Users check their progress based on activity data collected by automated systems. The automated systems monitor the user's daily routines and activities and send this data to the server as progress data. The server receives the progress data as input and re-evaluates the degree of goal achievement.

[0527] Step 5:

[0528] The server updates the re-evaluation results based on progress data as feedback and notifies the user through an automated system. The updated feedback is transmitted via an audio input / output device. This ensures that the user always receives the latest action plan for achieving their goals.

[0529] Furthermore, an emotion engine that estimates the user's emotions may be incorporated. That is, the identification processing unit 290 may use the emotion identification model 59 to estimate the user's emotions and perform identification processing using the user's emotions.

[0530] The present invention provides an advanced management system that incorporates an emotion engine to recognize user emotions, in addition to goal setting and performance management. This system consists of a terminal, a server, an AI agent acting as a data processing unit, and the emotion engine. This allows users to receive practical and emotionally resonant support for achieving their goals.

[0531] The user first uses a terminal to input a specific goal they want to achieve. For example, a possible goal might be "increase new customers by 20% in the next three months." The terminal sends the goal information to a server, where it is analyzed by an AI agent. The AI ​​agent uses historical data within the company to evaluate the validity of the goal and generates adjustment suggestions as needed. This information is then fed back to the user via the server.

[0532] Furthermore, this system is equipped with an emotion engine that analyzes the user's emotional state from user input and behavioral data. For example, emotion estimation is performed using text input and facial recognition technology. Based on this information, the emotion engine can generate feedback and suggestions that are appropriate to the user's psychological state. If the user is feeling stressed, it will suggest messages to encourage relaxation or suggestions to adjust the pace of goal achievement.

[0533] The server sends this feedback and emotion-based suggestions to the user's device in real time. Based on this, the user can work towards achieving their goals in a more flexible and less stressful way.

[0534] As an example of this system's application, if the emotion engine determines at the end of the day that a salesperson has not made sufficient progress toward their sales target, it will display feedback such as, "It seems you haven't been able to relax much today. Let's refine your plan a bit more tomorrow." In this way, the system can provide both improved work efficiency and emotional support to users simultaneously.

[0535] The following describes the processing flow.

[0536] Step 1:

[0537] The user enters their desired goals into the device. For example, they might set a specific, measurable goal such as "increase sales by 15% in the next quarter."

[0538] Step 2:

[0539] The terminal sends the entered target information to the server. The data is encrypted to ensure secure transmission and is sent in real time over the network.

[0540] Step 3:

[0541] The server stores the received target information in a database and requests an AI agent to analyze it. This analysis evaluates the validity and achievability of the target.

[0542] Step 4:

[0543] The AI ​​agent references historical data within the company to analyze whether the goals are appropriate. If necessary, it generates adjustment proposals for achieving the goals and returns them to the server.

[0544] Step 5:

[0545] The server receives output from the AI ​​agent and sends feedback to the user's device. Here, the user can check whether their goals are appropriate.

[0546] Step 6:

[0547] Users make final confirmations about their goals and make adjustments if necessary, taking into account their own emotional state as measured by the emotion engine.

[0548] Step 7:

[0549] The terminal sends the final decision on the goal to the server, and the goal is officially confirmed. The confirmed goal serves as the basis for managing progress toward its achievement.

[0550] Step 8:

[0551] Users periodically enter their progress into their devices, and this data is sent to the server. Progress entries include the degree of achievement towards the goal and the specific actions taken.

[0552] Step 9:

[0553] The server has an AI agent analyze the progress data and receive feedback that evaluates the degree of achievement and considers the next steps. This feedback includes numerical evaluations and specific improvement suggestions.

[0554] Step 10:

[0555] The emotion engine analyzes user progress input and periodic emotional state data to determine the user's psychological state and condition.

[0556] Step 11:

[0557] Based on the analysis results from the emotion engine, the server generates feedback and suggestions tailored to the user's emotional state and sends them to the device. These suggestions may include advice aimed at increasing the user's motivation or reducing stress.

[0558] Step 12:

[0559] Users receive this feedback from their devices and use it to optimize their action plans to achieve their goals.

[0560] (Example 2)

[0561] Next, we will describe Example 2. 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."

[0562] In modern organizations and for individuals, the goal-achievement process is fraught with difficulties, particularly a lack of emotional support. Traditional systems provide quantitative analysis and feedback, but insufficient support that considers the emotional state of the user. Therefore, there is a need to reduce the psychological burden during the goal-setting and achievement process.

[0563] The identification process performed by the identification processing unit 290 of the data processing device 12 in Example 2 is realized by the following means.

[0564] In this invention, the server includes means for receiving and analyzing goal information, means for analyzing the user's emotional state, and means for transmitting real-time feedback and suggestions to the user's terminal via a communication device. This allows the user to simultaneously receive adjustment suggestions for achieving their goals and emotionally-based suggestions.

[0565] "Goal information" refers to data that shows the specific objectives and indicators that users want to achieve.

[0566] An "information processing device" refers to a computer or software used to receive and analyze input data.

[0567] A "proposal for adjustment" refers to revised proposals or improvement measures for achieving the objective, which are generated as needed after evaluating the validity of the objective.

[0568] "User" refers to an individual or group that uses this system to aim to achieve their goals.

[0569] An "emotion analysis device" refers to a system or software that analyzes a user's emotional state and generates appropriate feedback or suggestions.

[0570] "Real-time" means that data processing and feedback are performed instantly without delay.

[0571] "Feedback" refers to information and advice given to users based on their progress towards achieving their goals and their emotional state.

[0572] "Communication equipment" refers to hardware or software that enables the transmission and reception of data between different devices.

[0573] "Appropriate goal setting" refers to the process of automatically setting achievable yet challenging goals, taking into account past data and current circumstances.

[0574] To implement this invention, the following system configuration and processing procedure are used: A system is constructed that combines a server, a terminal, an AI agent which is an information processing device, and an emotion analysis device.

[0575] The user first inputs goal information using a terminal. For example, they might enter a specific goal such as "increase new customers by 20% in the next three months." The terminal then sends this goal information to the server.

[0576] The server uses an information processing device, specifically an AI agent, to analyze the received target information. This analysis process refers to past target achievement data accumulated within the company to evaluate the validity of the input target. If necessary, the AI ​​agent generates adjustment proposals for achieving the target and provides this feedback to the user via the server.

[0577] Furthermore, the system uses an emotion analysis device to understand the user's emotional state. The terminal collects emotional data through the user's operations, input data, and, in some cases, facial recognition technology, and transmits this data to the emotion analysis device. The emotion analysis device analyzes this data and generates feedback and suggestions that are appropriate to the user's psychological state.

[0578] For example, if the system analyzes that a user is experiencing stress while performing data entry, it will generate relaxation-promoting advice. This information is provided to the user's terminal in real time via a server.

[0579] This allows users to receive emotionally sensitive support along with quantitative feedback, helping them achieve their goals. An example of a prompt that utilizes a generative AI model is: "Please suggest ways to reduce stress when progress is behind schedule in setting sales targets."

[0580] The flow of the specific processing in Example 2 will be explained using Figure 13.

[0581] Step 1:

[0582] The terminal provides an interface for users to input goal information they have set. Users operate the terminal and input goals such as "increase new customers by 20% in the next three months." This input data is temporarily stored within the terminal.

[0583] Step 2:

[0584] The terminal sends the entered target information to the server. During transmission, the information is precisely structured according to the data format. The transmitted data is received by the server and prepared to begin processing.

[0585] Step 3:

[0586] The server passes the received target information to the AI ​​agent. In this process, the AI ​​agent functions as an information processing device, performing data calculations to evaluate the validity of the target while referring to past target achievement data. As a result, it obtains an analysis result regarding the feasibility of achieving the target.

[0587] Step 4:

[0588] The AI ​​agent generates adjustment suggestions based on the analyzed data. A specific example might be, "With current resources, we recommend increasing new customers by 15%." These adjustment suggestions are returned to the server and prepared as feedback information.

[0589] Step 5:

[0590] The server sends the generated adjustment proposals and evaluation results to the user's terminal in real time for feedback. Here, the server performs data format checks using a communication protocol to ensure the accuracy and timely transmission of the information.

[0591] Step 6:

[0592] The device displays this feedback to the user. Information is provided to help the user receive the feedback and consider their next action. The feedback is often presented visually and in an easily understandable format.

[0593] Step 7:

[0594] The device also collects data on the user's emotional state for use in an emotion analysis device. This data includes the user's input speed, word selection, and optionally, facial expression data obtained from facial recognition.

[0595] Step 8:

[0596] The server transmits the collected emotional data to an emotion analysis device. The emotion analysis device uses data analysis techniques to perform calculations that estimate the user's emotional state. For example, it analyzes whether the user is experiencing stress.

[0597] Step 9:

[0598] The emotion analysis device generates emotion-based feedback, which the server receives and quickly transmits to the terminal. Based on this feedback, the user can adjust their approach to achieving their goals.

[0599] In this way, through data processing and user interface operation at each step, the system can provide users with appropriate goal setting and emotional support.

[0600] (Application Example 2)

[0601] Next, we will explain application example 2. In the following explanation, 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."

[0602] Conventional goal-achievement support systems lack advice and feedback that takes into account the user's emotional state, resulting in insufficient support for users to achieve their goals without experiencing stress. In addition, the automation of goal setting based on past data is inadequate, making it difficult to provide support optimized for individual users.

[0603] The specific processing performed by the specific processing unit 290 of the data processing device 12 in Application Example 2 is realized by the following means.

[0604] In this invention, the server includes means for analyzing an information input device for inputting target information, means equipped with an emotion engine for analyzing the user's emotional state, and means for monitoring progress and generating real-time feedback. This enables optimal advice tailored to the user's emotional state and efficient support for achieving goals based on past data.

[0605] "Goal information" refers to the specific goals that users wish to achieve, and serves as the basic data for the system to analyze.

[0606] An "information input device" is a device used by users to input target information, and usually refers to an interface device.

[0607] An "information processing device" is a computer system that analyzes input target information and generates appropriate feedback.

[0608] A "proposal for adjustment" is a set of suggestions for revisions and changes necessary in the process of achieving the goal, provided based on data analyzed by the information processing device.

[0609] The "emotional engine" is a software module that analyzes the user's emotional state and generates advice and feedback based on the analysis results.

[0610] "A means of generating evaluations in real time" refers to a system function that constantly monitors the user's progress toward achieving their goals and provides evaluations immediately.

[0611] An "encrypted communication method" is a communication protocol that encrypts data in order to send and receive information securely.

[0612] The system based on this invention provides advanced technology to support daily life within the home. First, the server receives and analyzes specific goal information that the user wishes to achieve in their daily life. The information input device is typically a portable electronic device such as a smartphone or tablet. The server receives the goal information from these devices and analyzes the data using an information processing device.

[0613] Based on the analyzed data, a system generates evaluations in real time, providing users with appropriate adjustment suggestions. The information processing unit utilizes the open-source library TensorFlow to build a generative AI model. This allows the AI ​​to generate optimal advice while evaluating the user's progress toward achieving their goals based on their past data.

[0614] Furthermore, this system is equipped with an emotion engine to analyze the user's emotions. Using OpenCV and natural language processing libraries, it analyzes visual and audio data acquired from the camera and microphone to determine the emotional state. The emotion engine can provide support, such as playing relaxing music, if the user is feeling stressed.

[0615] As a concrete example, let's consider a case where a user sets a goal of "exercising at least three times a week." Each time the user enters their goal and reports their progress, the server analyzes that information, and the generating AI model generates feedback based on their progress.

[0616] If the user's emotional state is unstable, the system will offer suggestions such as, "You need to relax today. How about going for a short walk?"

[0617] An example of a prompt message is: "Use a generative AI model to evaluate the user's progress toward achieving their goals and generate appropriate advice."

[0618] The flow of a specific process in Application Example 2 will be explained using Figure 14.

[0619] Step 1:

[0620] The terminal receives user-defined goal information via an information input device. This information, which specifically includes the user's goals and desired level of achievement, is stored in a database. It receives the user's specific goal information as input and formats it as text data.

[0621] Step 2:

[0622] The server transfers the received target information to the information processing device and begins analysis. Specifically, it uses an AI model to evaluate the difficulty of achieving the target and its feasibility by comparing it with historical data. It receives target information as input, analyzes the set target using a generating AI model, and outputs an evaluation of the target's validity as feedback.

[0623] Step 3:

[0624] Based on the analysis results, the server generates adjustment plans to achieve the goal. These are generated by an AI model and are tailored to the user's feasibility and emotional state. The adjustment plans are output as specific steps and action plans and provided as feedback to the user.

[0625] Step 4:

[0626] The server uses sensors such as cameras and microphones to analyze the user's emotional state in real time through an emotion engine. The input consists of the user's voice and video, which are analyzed using OpenCV and NLP libraries to output the user's emotional state.

[0627] Step 5:

[0628] Based on the output of the emotion engine, the server provides the user with emotionally relevant advice and adjustment suggestions. At this stage, it outputs relaxation methods such as playing music or suggesting exercises.

[0629] Step 6:

[0630] Ultimately, the user adjusts their behavior based on the adjustment suggestions and emotional feedback received from the server, and selects the next action to achieve their goal. The input is suggestions from the server, and the user adjusts their behavior based on the feedback.

[0631] The specific processing unit 290 transmits the result of the specific processing to the headset terminal 314. In the headset terminal 314, the control unit 46A causes the speaker 240 and display 343 to output the result of the specific processing. The microphone 238 acquires audio indicating user input for the result of the specific processing. The control unit 46A transmits the audio data indicating user input acquired by the microphone 238 to the data processing unit 12. In the data processing unit 12, the specific processing unit 290 acquires the audio data.

[0632] Data generation model 58 is a type of so-called generative AI (Artificial Intelligence). One example of data generation model 58 is ChatGPT (Internet search<URL: https: / / openai.com / blog / chatgpt> ), Gemini (Internet search) <url: https: gemini.google.com ?hl="ja">Examples of generative AI include the following. The data generation model 58 is obtained by performing deep learning on a neural network. The data generation model 58 is input with prompts containing instructions, and with inference data such as audio data representing speech, text data representing text, and image data representing images. The data generation model 58 infers from the input inference data according to the instructions indicated by the prompts, and outputs the inference results in data formats such as audio data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization.

[0633] In the above embodiment, an example was given in which specific processing is performed by the data processing device 12, but the technology of this disclosure is not limited thereto, and specific processing may also be performed by the headset terminal 314.

[0634] [Fourth Embodiment]

[0635] Figure 7 shows an example of the configuration of the data processing system 410 according to the fourth embodiment.

[0636] As shown in Figure 7, the 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.

[0637] The data processing device 12 comprises a computer 22, a database 24, and a communication interface 26. The computer 22 is an example of a "computer" related to the technology of this disclosure. The computer 22 comprises a processor 28, RAM 30, and storage 32. The processor 28, RAM 30, and storage 32 are connected to a bus 34. The database 24 and the communication interface 26 are also connected to the bus 34. The communication interface 26 is connected to a network 54. An example of the network 54 is a WAN (Wide Area Network) and / or a LAN (Local Area Network).

[0638] The robot 414 includes a computer 36, a microphone 238, a speaker 240, a camera 42, a communication interface 44, and a controlled object 443. The computer 36 includes a processor 46, RAM 48, and storage 50. The processor 46, RAM 48, and storage 50 are connected to a bus 52. The microphone 238, speaker 240, camera 42, and controlled object 443 are also connected to the bus 52.

[0639] The microphone 238 receives voice signals from the user 20 and receives instructions from the user 20. The microphone 238 captures the voice signals from the user 20, converts the captured voice into audio data, and outputs it to the processor 46. The speaker 240 outputs audio according to the instructions from the processor 46.

[0640] Camera 42 is a small digital camera equipped with an optical system including a lens, aperture, and shutter, and an image sensor such as a CMOS (Complementary Metal-Oxide-Semiconductor) image sensor or a CCD (Charge Coupled Device) image sensor, and captures images of the area around the user 20 (for example, an imaging range defined by a field of view equivalent to the width of a typical healthy person's field of vision).

[0641] Communication interface 44 is connected to network 54. Communication interfaces 44 and 26 are responsible for the exchange of various information between processor 46 and processor 28 via network 54. The exchange of various information between processor 46 and processor 28 using communication interfaces 44 and 26 is performed in a secure manner.

[0642] The controlled object 443 includes a display device, LEDs in the eyes, and motors that drive 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 robot 414's emotions can be expressed by controlling these motors. Furthermore, the robot 414's facial expressions can also be expressed by controlling the illumination state of the LEDs in its eyes.

[0643] Figure 8 shows an example of the main functions of the data processing device 12 and the robot 414. As shown in Figure 8, the data processing device 12 performs specific processing using the processor 28. The storage 32 stores the specific processing program 56.

[0644] The specific processing program 56 is an example of a "program" relating to the technology of this 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.

[0645] The storage 32 stores the data generation model 58 and the emotion identification model 59. The data generation model 58 and the emotion identification model 59 are used by the identification processing unit 290.

[0646] In robot 414, the processor 46 performs the reception output processing. The storage 50 stores the reception output program 60. 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 processing is realized by the processor 46 operating as a control unit 46A according to the reception output program 60 executed on the RAM 48.

[0647] Next, the specific processing performed by the specific processing unit 290 of the data processing device 12 will be described. In the following description, the data processing device 12 will be referred to as the "server" and the robot 414 as the "terminal".

[0648] The goal-setting and evaluation management system of the present invention mainly consists of an AI agent that functions as a terminal, a server, and a data processing device. This system supports users in effectively setting their own goals, managing their progress, and receiving appropriate feedback.

[0649] The user first enters their desired goal through their device. The goal must be specific and measurable. For example, a user might enter a goal such as "I want to increase sales by 10% in the next quarter."

[0650] The terminal sends the entered goal information to the server. The server receives this goal information and has an AI agent, a data processing device, perform analysis. The AI ​​agent refers to relevant historical data within the company and evaluates whether the goal is appropriate. Based on this evaluation, the AI ​​agent generates an assessment of the goal's achievability and any necessary adjustments, and provides this information back to the user via the server.

[0651] Furthermore, users input their progress into their devices, which enables real-time data updates on the server. The server and AI agents analyze this progress data and generate feedback indicating actions and improvements the user should take to achieve their goals. This feedback includes specific numerical evaluations and action plans.

[0652] This system enables data-driven goal setting and transparent progress evaluation and feedback. As a result, users become more motivated and can understand the concrete path to achieving their goals.

[0653] The following describes the processing flow.

[0654] Step 1:

[0655] The user enters their desired goals into the device. These goals must be specific and include deadlines and quantitative indicators.

[0656] Step 2:

[0657] The terminal sends the entered target information to the server. This information is encrypted to ensure security.

[0658] Step 3:

[0659] The server stores the received target information and requests analysis from the AI ​​agent, which is a data processing unit.

[0660] Step 4:

[0661] The AI ​​agent compares the goal information received from the server with past performance data and goals for similar job roles to evaluate the validity and feasibility of the goals.

[0662] Step 5:

[0663] Based on the analysis results, the AI ​​agent generates proposed adjustments to the goals and guidance plans for achieving them as needed, and sends them to the server.

[0664] Step 6:

[0665] The server receives suggestions from the AI ​​agent and notifies the user's device. The user can then use this feedback to review or modify their goals.

[0666] Step 7:

[0667] Once the user has reviewed and approved the goal, it will be officially registered in the system.

[0668] Step 8:

[0669] Users input and update their progress toward achieving their goals on their devices as needed. This progress information is periodically sent to the server.

[0670] Step 9:

[0671] The server analyzes the received progress data and provides the newly obtained data to the AI ​​agent.

[0672] Step 10:

[0673] The AI ​​agent analyzes progress data and creates feedback for the user, including numerical evaluations and specific improvement suggestions.

[0674] Step 11:

[0675] The server sends the generated feedback to the user's device and provides information that visualizes the progress, helping the user to systematically plan and execute actions toward achieving their goals.

[0676] (Example 1)

[0677] Next, we will describe Example 1. In the following description, the data processing device 12 will be referred to as the "server" and the robot 414 as the "terminal".

[0678] In setting and achieving goals, it is difficult for users to identify current challenges and appropriate solutions, and traditional systems do not adequately provide real-time progress analysis and data-driven feedback. As a result, users lack a clear path to achieving their goals. Secure data transmission is also a critical issue.

[0679] The identification process performed by the identification processing unit 290 of the data processing device 12 in Example 1 is realized by the following means.

[0680] In this invention, the server includes means for using an information processing device that receives and analyzes target information, means for evaluating the feasibility of achieving the target using a generating artificial intelligence model, and means for generating feedback in real time. This enables the user to receive specific, data-driven feedback.

[0681] "Goal information" refers to data about specific and measurable goals that users wish to achieve.

[0682] An "information input device" is a device used by users to input goal information and progress data, and generally refers to a computer or mobile device.

[0683] An "information processing device" is a device that analyzes received data and performs necessary information processing, and mainly includes servers and AI agents.

[0684] A "proposal for adjustment" refers to specific revisions or countermeasures presented to increase the likelihood of achieving the goal.

[0685] A "generative artificial intelligence model" is an AI model used to evaluate the feasibility of achieving a goal based on past data and similar cases, and to provide appropriate feedback.

[0686] "Feedback" refers to information provided to users, including evaluations of progress toward achieving goals and suggestions for improvement.

[0687] "Encrypted communication methods" refer to technologies that encrypt information before sending or receiving it in order to prevent data from being illegally viewed or altered by third parties.

[0688] The goal-setting and evaluation management system of this invention primarily includes information processing devices such as terminals, servers, and AI agents. The system aims to enable users to effectively set their own goals, manage their progress based on data, and receive appropriate feedback.

[0689] The user first uses a terminal to input a specific and measurable goal, such as "We want to increase sales by 10% in the next quarter." The input goal information is verified by the terminal and sent to the server in an appropriate format. The server then forwards this information to an AI agent, which analyzes historical data within the company. A generative artificial intelligence model is used for the analysis to assess the feasibility and generate adjustment proposals. These adjustment proposals and evaluation results are then provided to the user as feedback via the server.

[0690] Users input their daily progress into their devices, and real-time data is updated on the server. The updated data is then analyzed again by an AI agent, which generates specific feedback based on the progress. This feedback includes specific action plans and numerical evaluations necessary to achieve the goals.

[0691] The system uses encrypted communication methods to ensure the secure transmission and reception of data. This minimizes the risk of information leakage while allowing users to receive optimal support to achieve their goals.

[0692] For example, if a user sets a goal of "developing a reading habit and reading five books by the end of the month," the AI ​​agent can evaluate the feasibility of achieving this goal based on past reading-related data and provide feedback such as appropriate book suggestions and advice on time allocation.

[0693] An example of a prompt message for the generating AI model would be: "I would like to set quarterly sales targets. Please set specific target values ​​and provide feedback on their feasibility."

[0694] The flow of the specific processing in Example 1 will be explained using Figure 11.

[0695] Step 1:

[0696] The user uses a terminal to input specific goal information, such as "I want to increase sales by 10% in the next quarter." The entered data is formatted and verified on the terminal to ensure there are no errors before being sent to the server. In this step, the input is the user's goal information, and the output is structured goal data sent to the server.

[0697] Step 2:

[0698] The server immediately saves the received target data and sends a request for target analysis to the AI ​​agent. The AI ​​agent receives the target data, compares it with relevant historical databases within the company, and begins data processing. The input is the target data sent from the terminal, and the output is a trigger signal that starts processing for the AI ​​agent.

[0699] Step 3:

[0700] The AI ​​agent uses a generative AI model to analyze historical similar target data and assess the likelihood of achieving the target. This analysis employs machine learning algorithms to quantify the probability of achieving the target and identify potential obstacles. The input is target data and historical achievement data sent from the server, and the output is an assessment report on the likelihood of achievement.

[0701] Step 4:

[0702] The server receives evaluation reports from the AI ​​agent and uses them to prepare feedback for the user. The feedback generates specific advice and adjustment suggestions for achieving goals. The input is the analysis results from the AI ​​agent, and the output is feedback information customized for the user.

[0703] Step 5:

[0704] The user receives feedback and inputs progress data for a specified period into the terminal. The terminal verifies the input progress data and sends it to the server. The input is progress information provided by the user, and the output is updated data received by the server.

[0705] Step 6:

[0706] The server sends the received progress data to an AI agent for analysis. The AI ​​agent uses a generative AI model to compare the progress data with past data and formulate future action plans. The input is the progress data sent by the server, and the output is the improvement suggestions provided to the user as updated feedback.

[0707] (Application Example 1)

[0708] Next, we will explain Application Example 1. In the following explanation, the data processing device 12 will be referred to as the "server" and the robot 414 as the "terminal".

[0709] In modern society, while personal goal management is crucial, effective support for achieving goals is lacking. Furthermore, there are challenges in managing progress toward goal achievement and providing appropriate feedback. In this context, there is a need for automated and efficient means to manage progress based on user-defined goals and provide appropriate feedback.

[0710] The specific processing performed by the specific processing unit 290 of the data processing device 12 in Application Example 1 is realized by the following means.

[0711] In this invention, the server includes means for a computing device that receives and analyzes target information, means for an automated device that collects activity data and provides feedback to the user based on it, and means for interacting with and supporting the user using a voice input / output device. This allows the user to monitor progress toward set goals in real time through the automated device and to obtain appropriate feedback through voice interaction.

[0712] "Goal information" refers to data that expresses the user's desired objectives and target results in a specific and measurable form.

[0713] An "information processing device" is a device used to input target information, and is a device for receiving and inputting data.

[0714] A "computational device" is a device that analyzes received information and generates feedback based on goal setting and progress.

[0715] A "proposal for adjustment" refers to a proposal for specific action plans or improvement measures to achieve the goal.

[0716] "Progress status" refers to information that shows the degree of achievement and progress toward the goals set by the user.

[0717] An "automated device" is a mechanical device that autonomously collects and analyzes activity data based on a set program and provides feedback.

[0718] A "voice input / output device" is a device that analyzes voice input from a user and transmits information to the user via voice.

[0719] To implement this invention, an information processing system is required, which begins with the user inputting target information through a terminal. The terminal consists of a smartphone or personal computer, and is responsible for receiving the user's input information.

[0720] The server transmits this target information to the computing device for data analysis. The computing device is equipped with programs such as Python and performs calculations to generate adjustment proposals necessary to achieve the target. The generated adjustment proposals are fed back to the user via the server. The feedback is generated using a natural language processing library (e.g., spaCy) and includes specific improvement suggestions and progress evaluations. Encrypted communication protocols are implemented to ensure data security.

[0721] Furthermore, the automated device collects and analyzes activity data in real time. For example, a robot used in the home monitors the user's daily activities and sends the data to a server. Based on this, the server re-evaluates the degree of goal achievement and updates the feedback. This automated device is equipped with a voice input / output device and provides assistance by interacting with the user via voice.

[0722] As a concrete example, a prompt such as, "Check the user's progress toward achieving their goal and suggest the next action. Goal: Jogging for 30 minutes every day. Current progress: Only doing it 3 times a week. Create suggestion feedback," can be sent to the AI ​​model to form suggestions for the user to achieve their goal. In this way, the user can always receive guidance on how to take appropriate actions toward their set goal.

[0723] The flow of a specific process in Application Example 1 will be explained using Figure 12.

[0724] Step 1:

[0725] The user enters goal information using a terminal. Here, the user describes the goal they wish to achieve in a specific and measurable way. The entered goal information is provided by the user as input data and becomes data transmitted to the server.

[0726] Step 2:

[0727] The server transmits the target information received from the terminal to the computing device. At this stage, the target information is processed as input data for analysis. The computing device performs data analysis based on this information and generates adjustment proposals necessary to achieve the target. These adjustment proposals are returned to the server as output data.

[0728] Step 3:

[0729] The server receives adjustment suggestions from the computing device and provides them to the user as feedback. This feedback includes specific suggestions and improvement proposals generated using natural language processing. Here, prompt sentences are sent to a generating AI model, which processes and calculates the data to obtain appropriate feedback.

[0730] Step 4:

[0731] Users check their progress based on activity data collected by automated systems. The automated systems monitor the user's daily routines and activities and send this data to the server as progress data. The server receives the progress data as input and re-evaluates the degree of goal achievement.

[0732] Step 5:

[0733] The server updates the re-evaluation results based on progress data as feedback and notifies the user through an automated system. The updated feedback is transmitted via an audio input / output device. This ensures that the user always receives the latest action plan for achieving their goals.

[0734] Furthermore, an emotion engine that estimates the user's emotions may be incorporated. That is, the identification processing unit 290 may use the emotion identification model 59 to estimate the user's emotions and perform identification processing using the user's emotions.

[0735] The present invention provides an advanced management system that incorporates an emotion engine to recognize user emotions, in addition to goal setting and performance management. This system consists of a terminal, a server, an AI agent acting as a data processing unit, and the emotion engine. This allows users to receive practical and emotionally resonant support for achieving their goals.

[0736] The user first uses a terminal to input a specific goal they want to achieve. For example, a possible goal might be "increase new customers by 20% in the next three months." The terminal sends the goal information to a server, where it is analyzed by an AI agent. The AI ​​agent uses historical data within the company to evaluate the validity of the goal and generates adjustment suggestions as needed. This information is then fed back to the user via the server.

[0737] Furthermore, this system is equipped with an emotion engine that analyzes the user's emotional state from user input and behavioral data. For example, emotion estimation is performed using text input and facial recognition technology. Based on this information, the emotion engine can generate feedback and suggestions that are appropriate to the user's psychological state. If the user is feeling stressed, it will suggest messages to encourage relaxation or suggestions to adjust the pace of goal achievement.

[0738] The server sends this feedback and emotion-based suggestions to the user's device in real time. Based on this, the user can work towards achieving their goals in a more flexible and less stressful way.

[0739] As an example of this system's application, if the emotion engine determines at the end of the day that a salesperson has not made sufficient progress toward their sales target, it will display feedback such as, "It seems you haven't been able to relax much today. Let's refine your plan a bit more tomorrow." In this way, the system can provide both improved work efficiency and emotional support to users simultaneously.

[0740] The following describes the processing flow.

[0741] Step 1:

[0742] The user enters their desired goals into the device. For example, they might set a specific, measurable goal such as "increase sales by 15% in the next quarter."

[0743] Step 2:

[0744] The terminal sends the entered target information to the server. The data is encrypted to ensure secure transmission and is sent in real time over the network.

[0745] Step 3:

[0746] The server stores the received target information in a database and requests an AI agent to analyze it. This analysis evaluates the validity and achievability of the target.

[0747] Step 4:

[0748] The AI ​​agent references historical data within the company to analyze whether the goals are appropriate. If necessary, it generates adjustment proposals for achieving the goals and returns them to the server.

[0749] Step 5:

[0750] The server receives output from the AI ​​agent and sends feedback to the user's device. Here, the user can check whether their goals are appropriate.

[0751] Step 6:

[0752] Users make final confirmations about their goals and make adjustments if necessary, taking into account their own emotional state as measured by the emotion engine.

[0753] Step 7:

[0754] The terminal sends the final decision on the goal to the server, and the goal is officially confirmed. The confirmed goal serves as the basis for managing progress toward its achievement.

[0755] Step 8:

[0756] Users periodically enter their progress into their devices, and this data is sent to the server. Progress entries include the degree of achievement towards the goal and the specific actions taken.

[0757] Step 9:

[0758] The server has an AI agent analyze the progress data and receive feedback that evaluates the degree of achievement and considers the next steps. This feedback includes numerical evaluations and specific improvement suggestions.

[0759] Step 10:

[0760] The emotion engine analyzes user progress input and periodic emotional state data to determine the user's psychological state and condition.

[0761] Step 11:

[0762] Based on the analysis results from the emotion engine, the server generates feedback and suggestions tailored to the user's emotional state and sends them to the device. These suggestions may include advice aimed at increasing the user's motivation or reducing stress.

[0763] Step 12:

[0764] Users receive this feedback from their devices and use it to optimize their action plans to achieve their goals.

[0765] (Example 2)

[0766] Next, we will describe Example 2. In the following description, the data processing device 12 will be referred to as the "server" and the robot 414 as the "terminal".

[0767] In modern organizations and for individuals, the goal-achievement process is fraught with difficulties, particularly a lack of emotional support. Traditional systems provide quantitative analysis and feedback, but insufficient support that considers the emotional state of the user. Therefore, there is a need to reduce the psychological burden during the goal-setting and achievement process.

[0768] The identification process performed by the identification processing unit 290 of the data processing device 12 in Example 2 is realized by the following means.

[0769] In this invention, the server includes means for receiving and analyzing goal information, means for analyzing the user's emotional state, and means for transmitting real-time feedback and suggestions to the user's terminal via a communication device. This allows the user to simultaneously receive adjustment suggestions for achieving their goals and emotionally-based suggestions.

[0770] "Goal information" refers to data that shows the specific objectives and indicators that users want to achieve.

[0771] An "information processing device" refers to a computer or software used to receive and analyze input data.

[0772] A "proposal for adjustment" refers to revised proposals or improvement measures for achieving the objective, which are generated as needed after evaluating the validity of the objective.

[0773] "User" refers to an individual or group that uses this system to aim to achieve their goals.

[0774] An "emotion analysis device" refers to a system or software that analyzes a user's emotional state and generates appropriate feedback or suggestions.

[0775] "Real-time" means that data processing and feedback are performed instantly without delay.

[0776] "Feedback" refers to information and advice given to users based on their progress towards achieving their goals and their emotional state.

[0777] "Communication equipment" refers to hardware or software that enables the transmission and reception of data between different devices.

[0778] "Appropriate goal setting" refers to the process of automatically setting achievable yet challenging goals, taking into account past data and current circumstances.

[0779] To implement this invention, the following system configuration and processing procedure are used: A system is constructed that combines a server, a terminal, an AI agent which is an information processing device, and an emotion analysis device.

[0780] The user first inputs goal information using a terminal. For example, they might enter a specific goal such as "increase new customers by 20% in the next three months." The terminal then sends this goal information to the server.

[0781] The server uses an information processing device, specifically an AI agent, to analyze the received target information. This analysis process refers to past target achievement data accumulated within the company to evaluate the validity of the input target. If necessary, the AI ​​agent generates adjustment proposals for achieving the target and provides this feedback to the user via the server.

[0782] Furthermore, the system uses an emotion analysis device to understand the user's emotional state. The terminal collects emotional data through the user's operations, input data, and, in some cases, facial recognition technology, and transmits this data to the emotion analysis device. The emotion analysis device analyzes this data and generates feedback and suggestions that are appropriate to the user's psychological state.

[0783] For example, if the system analyzes that a user is experiencing stress while performing data entry, it will generate relaxation-promoting advice. This information is provided to the user's terminal in real time via a server.

[0784] This allows users to receive emotionally sensitive support along with quantitative feedback, helping them achieve their goals. An example of a prompt that utilizes a generative AI model is: "Please suggest ways to reduce stress when progress is behind schedule in setting sales targets."

[0785] The flow of the specific processing in Example 2 will be explained using Figure 13.

[0786] Step 1:

[0787] The terminal provides an interface for users to input goal information they have set. Users operate the terminal and input goals such as "increase new customers by 20% in the next three months." This input data is temporarily stored within the terminal.

[0788] Step 2:

[0789] The terminal sends the entered target information to the server. During transmission, the information is precisely structured according to the data format. The transmitted data is received by the server and prepared to begin processing.

[0790] Step 3:

[0791] The server passes the received target information to the AI ​​agent. In this process, the AI ​​agent functions as an information processing device, performing data calculations to evaluate the validity of the target while referring to past target achievement data. As a result, it obtains an analysis result regarding the feasibility of achieving the target.

[0792] Step 4:

[0793] The AI ​​agent generates adjustment suggestions based on the analyzed data. A specific example might be, "With current resources, we recommend increasing new customers by 15%." These adjustment suggestions are returned to the server and prepared as feedback information.

[0794] Step 5:

[0795] The server sends the generated adjustment proposals and evaluation results to the user's terminal in real time for feedback. Here, the server performs data format checks using a communication protocol to ensure the accuracy and timely transmission of the information.

[0796] Step 6:

[0797] The device displays this feedback to the user. Information is provided to help the user receive the feedback and consider their next action. The feedback is often presented visually and in an easily understandable format.

[0798] Step 7:

[0799] The device also collects data on the user's emotional state for use in an emotion analysis device. This data includes the user's input speed, word selection, and optionally, facial expression data obtained from facial recognition.

[0800] Step 8:

[0801] The server transmits the collected emotional data to an emotion analysis device. The emotion analysis device uses data analysis techniques to perform calculations that estimate the user's emotional state. For example, it analyzes whether the user is experiencing stress.

[0802] Step 9:

[0803] The emotion analysis device generates emotion-based feedback, which the server receives and quickly transmits to the terminal. Based on this feedback, the user can adjust their approach to achieving their goals.

[0804] In this way, through data processing and user interface operation at each step, the system can provide users with appropriate goal setting and emotional support.

[0805] (Application Example 2)

[0806] Next, we will explain application example 2. In the following explanation, the data processing device 12 will be referred to as the "server" and the robot 414 as the "terminal".

[0807] Conventional goal-achievement support systems lack advice and feedback that takes into account the user's emotional state, resulting in insufficient support for users to achieve their goals without experiencing stress. In addition, the automation of goal setting based on past data is inadequate, making it difficult to provide support optimized for individual users.

[0808] The specific processing performed by the specific processing unit 290 of the data processing device 12 in Application Example 2 is realized by the following means.

[0809] In this invention, the server includes means for analyzing an information input device for inputting target information, means equipped with an emotion engine for analyzing the user's emotional state, and means for monitoring progress and generating real-time feedback. This enables optimal advice tailored to the user's emotional state and efficient support for achieving goals based on past data.

[0810] "Goal information" refers to the specific goals that users wish to achieve, and serves as the basic data for the system to analyze.

[0811] An "information input device" is a device used by users to input target information, and usually refers to an interface device.

[0812] An "information processing device" is a computer system that analyzes input target information and generates appropriate feedback.

[0813] A "proposal for adjustment" is a set of suggestions for revisions and changes necessary in the process of achieving the goal, provided based on data analyzed by the information processing device.

[0814] The "emotional engine" is a software module that analyzes the user's emotional state and generates advice and feedback based on the analysis results.

[0815] "A means of generating evaluations in real time" refers to a system function that constantly monitors the user's progress toward achieving their goals and provides evaluations immediately.

[0816] An "encrypted communication method" is a communication protocol that encrypts data in order to send and receive information securely.

[0817] The system based on this invention provides advanced technology to support daily life within the home. First, the server receives and analyzes specific goal information that the user wishes to achieve in their daily life. The information input device is typically a portable electronic device such as a smartphone or tablet. The server receives the goal information from these devices and analyzes the data using an information processing device.

[0818] Based on the analyzed data, a system generates evaluations in real time, providing users with appropriate adjustment suggestions. The information processing unit utilizes the open-source library TensorFlow to build a generative AI model. This allows the AI ​​to generate optimal advice while evaluating the user's progress toward achieving their goals based on their past data.

[0819] Furthermore, this system is equipped with an emotion engine to analyze the user's emotions. Using OpenCV and natural language processing libraries, it analyzes visual and audio data acquired from the camera and microphone to determine the emotional state. The emotion engine can provide support, such as playing relaxing music, if the user is feeling stressed.

[0820] As a concrete example, let's consider a case where a user sets a goal of "exercising at least three times a week." Each time the user enters their goal and reports their progress, the server analyzes that information, and the generating AI model generates feedback based on their progress.

[0821] If the user's emotional state is unstable, the system will offer suggestions such as, "You need to relax today. How about going for a short walk?"

[0822] An example of a prompt message is: "Use a generative AI model to evaluate the user's progress toward achieving their goals and generate appropriate advice."

[0823] The flow of a specific process in Application Example 2 will be explained using Figure 14.

[0824] Step 1:

[0825] The terminal receives user-defined goal information via an information input device. This information, which specifically includes the user's goals and desired level of achievement, is stored in a database. It receives the user's specific goal information as input and formats it as text data.

[0826] Step 2:

[0827] The server transfers the received target information to the information processing device and begins analysis. Specifically, it uses an AI model to evaluate the difficulty of achieving the target and its feasibility by comparing it with historical data. It receives target information as input, analyzes the set target using a generating AI model, and outputs an evaluation of the target's validity as feedback.

[0828] Step 3:

[0829] Based on the analysis results, the server generates adjustment plans to achieve the goal. These are generated by an AI model and are tailored to the user's feasibility and emotional state. The adjustment plans are output as specific steps and action plans and provided as feedback to the user.

[0830] Step 4:

[0831] The server uses sensors such as cameras and microphones to analyze the user's emotional state in real time through an emotion engine. The input consists of the user's voice and video, which are analyzed using OpenCV and NLP libraries to output the user's emotional state.

[0832] Step 5:

[0833] Based on the output of the emotion engine, the server provides the user with emotionally relevant advice and adjustment suggestions. At this stage, it outputs relaxation methods such as playing music or suggesting exercises.

[0834] Step 6:

[0835] Ultimately, the user adjusts their behavior based on the adjustment suggestions and emotional feedback received from the server, and selects the next action to achieve their goal. The input is suggestions from the server, and the user adjusts their behavior based on the feedback.

[0836] 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 controlled object 443 to output the result of the specific processing. The microphone 238 acquires audio indicating user input for the result of the specific processing. The control unit 46A transmits the audio data indicating user input acquired by the microphone 238 to the data processing unit 12. In the data processing unit 12, the specific processing unit 290 acquires the audio data.

[0837] Data generation model 58 is a type of so-called generative AI (Artificial Intelligence). One example of data generation model 58 is ChatGPT (Internet search<URL: https: / / openai.com / blog / chatgpt> ), Gemini (Internet search) <url: https: gemini.google.com ?hl="ja">Examples of generative AI include the following. The data generation model 58 is obtained by performing deep learning on a neural network. The data generation model 58 is input with prompts containing instructions, and with inference data such as audio data representing speech, text data representing text, and image data representing images. The data generation model 58 infers from the input inference data according to the instructions indicated by the prompts, and outputs the inference results in data formats such as audio data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization.

[0838] 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 this disclosure is not limited thereto, and the specific processing may also be performed by the robot 414.

[0839] Furthermore, the emotion identification model 59, acting 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 a specific mapping, which is an emotion map (see Figure 9). Similarly, the emotion identification model 59 may also determine the robot's emotion, and the identification processing unit 290 may perform identification processing using the robot's emotion.

[0840] Figure 9 shows an emotion map 400 in which multiple emotions are mapped. In the emotion map 400, emotions are arranged in concentric circles radiating from the center. The closer to the center of the concentric circles, the more primitive the emotions are located. Further out of the concentric circles, emotions representing states and actions arising from mental states are located. Emotion is a concept that includes feelings and mental states. On the left side of the concentric circles, emotions that are generally generated from reactions occurring in the brain are located. On the right side of the concentric circles, emotions that are generally induced by situational judgment are located. Above and below the concentric circles, emotions that are generally generated from reactions occurring in the brain and induced by situational judgment are located. In addition, the emotion of "pleasure" is located on the upper side of the concentric circles, and the emotion of "displeasure" is located on the lower side. Thus, in the emotion map 400, multiple emotions are mapped based on the structure in which emotions arise, and emotions that are likely to occur simultaneously are mapped close together.

[0841] These emotions are distributed at the 3 o'clock position on the Emotion Map 400, and usually fluctuate between feelings of security and anxiety. In the right half of the Emotion Map 400, situational awareness takes precedence over internal feelings, resulting in a calm impression.

[0842] The inside of the Emotion Map 400 represents inner thoughts, while the outside represents actions. Therefore, the further you go from the outside of the Emotion Map 400, the more visible (expressed in actions) your emotions become.

[0843] Here, human emotions are based on various balances, such as posture and blood sugar levels. When these balances deviate from the ideal, it results in discomfort, and when they approach the ideal, it results in pleasure. Similarly, in robots, cars, motorcycles, etc., emotions can be created based on various balances, such as posture and battery level. When these balances deviate from the ideal, it results in discomfort, and when they approach the ideal, it results in pleasure. The emotion map can be generated, for example, based on Dr. Mitsuyoshi's emotion map (Research on a system for analyzing brain physiological signals of speech emotion recognition and emotion, Tokushima University, doctoral dissertation: https: / / ci.nii.ac.jp / naid / 500000375379). The left half of the emotion map contains emotions belonging to a region called "response," where sensation is dominant. The right half of the emotion map contains emotions belonging to a region called "situation," where situational awareness is dominant.

[0844] The emotion map defines two emotions that promote learning. One is the emotion around the middle of the negative "repentance" and "reflection" on the situation side. In other words, it is 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 the emotion around the positive "desire" on the reaction side. In other words, it is when the robot has positive feelings such as "I want more" or "I want to know more."

[0845] The emotion identification model 59 inputs user input into a pre-trained neural network, obtains emotion values ​​representing each emotion shown in the emotion map 400, and determines the user's emotion. This neural network is pre-trained based on multiple training data sets, which are combinations of user input and emotion values ​​representing each emotion shown in the emotion map 400. Furthermore, this neural network is trained so that emotions located close together have similar values, as shown in the emotion map 900 in Figure 10. Figure 10 shows an example where multiple emotions such as "reassured," "calm," and "confident" have similar emotion values.

[0846] The above description primarily focuses on the functions of the data processing device 12 in relation to this disclosure. However, the system related to this disclosure is not necessarily implemented on a server. The system related to this disclosure may be implemented as a general information processing system. This disclosure may be implemented, for example, as a software program that runs on a personal computer or as an application that runs on a smartphone. The method related to this disclosure may be provided to users in SaaS (Software as a Service) format.

[0847] In the above embodiment, an example was given in which a specific process is performed by a single computer 22. However, the technology of this disclosure is not limited thereto, and a distributed processing of the specific process may be performed by multiple computers, including computer 22. For example, a data generation model 58 may be provided in an external device of the data processing device 12, and the external device may generate data according to the input data.

[0848] In the above embodiment, an example was given in which the specific processing program 56 is stored in the storage 32, but the technology of this disclosure is not limited thereto. For example, the specific processing program 56 may be stored in a portable, computer-readable, non-temporary storage medium such as a USB (Universal Serial Bus) memory. The specific processing program 56 stored in the non-temporary storage medium is installed in the computer 22 of the data processing device 12. The processor 28 executes specific processing according to the specific processing program 56.

[0849] 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.

[0850] Furthermore, it is not necessary to store the entirety 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 the entirety of the specific processing program 56 in the storage 32; it is acceptable to store only a portion of the specific processing program 56.

[0851] The following types of processors can be used as hardware resources to perform specific processing. Examples of processors include a CPU, a general-purpose processor that functions as a hardware resource to perform specific processing by executing software, i.e., a program. Other examples of processors include dedicated electrical circuits, such as FPGAs (Field-Programmable Gate Arrays), PLDs (Programmable Logic Devices), or ASICs (Application Specific Integrated Circuits), which have circuit configurations specifically designed to perform specific processing. All of these processors have built-in or connected memory, and all of them perform specific processing by using memory.

[0852] The hardware resource that performs a specific process may consist of one of these various processors, or it may consist of 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). Alternatively, the hardware resource that performs a specific process may consist of a single processor.

[0853] Examples of configurations using a single processor include, firstly, a configuration in which one or more CPUs and software are combined to form a single processor, and this processor functions as a hardware resource that performs a specific process. Secondly, there is a configuration using a processor that realizes the functions of the entire system, including multiple hardware resources that perform a specific process, on a single IC chip, as exemplified by SoCs (System-on-a-chip). In this way, a specific process is realized using one or more of the above types of processors as hardware resources.

[0854] Furthermore, the hardware structure of these various processors can more specifically utilize electrical circuits that combine circuit elements such as semiconductor devices. Also, the specific processing described above is merely an example. Therefore, it goes without saying that unnecessary steps can be deleted, new steps added, or the processing order rearranged, as long as it does not deviate from the main purpose.

[0855] The descriptions and illustrations presented above are detailed explanations of the technical aspects of this disclosure and are merely examples of the technical aspects. For example, the above descriptions of the structure, function, operation, and effect are examples of the structure, function, operation, and effect of the technical aspects of this disclosure. Therefore, it goes without saying that you may delete unnecessary parts, add new elements, or replace elements in the descriptions and illustrations presented above, as long as you do not deviate from the essence of the technical aspects of this disclosure. Furthermore, in order to avoid confusion and facilitate understanding of the technical aspects of this disclosure, explanations of common technical knowledge and the like that do not require special explanation to enable the implementation of the technical aspects of this disclosure have been omitted from the descriptions and illustrations presented above.

[0856] All documents, patent applications, and technical standards described herein are incorporated by reference to the same extent as if each individual document, patent application, and technical standard were specifically and individually noted to be incorporated by reference.

[0857] The following is further disclosed regarding the embodiments described above.

[0858] (Claim 1)

[0859] Equipped with a terminal for inputting target information,

[0860] The system includes a data processing device that receives and analyzes the aforementioned target information,

[0861] A means for providing the user with adjustment proposals for achieving the goal based on the data analyzed by the aforementioned data processing device,

[0862] A means of monitoring progress and generating real-time feedback,

[0863] A system that includes means to analyze past goal achievement data and automate the setting of appropriate goals.

[0864] (Claim 2)

[0865] The system according to claim 1, wherein the feedback includes numerical evaluation and specific improvement suggestions.

[0866] (Claim 3)

[0867] The system according to claim 1, wherein the data processing device securely sends and receives data using an encrypted communication protocol.

[0868] "Example 1"

[0869] (Claim 1)

[0870] It is equipped with an information input device for inputting target information,

[0871] The system includes an information processing device that receives and analyzes the aforementioned target information,

[0872] A means for providing the user with adjustment proposals for achieving the goal based on the information analyzed by the aforementioned information processing device,

[0873] A means of monitoring progress and generating real-time feedback,

[0874] A means to analyze past goal achievement data and automate the setting of appropriate goals,

[0875] A means of evaluating the feasibility of achieving a goal using a generative artificial intelligence model,

[0876] The means for analyzing the progress data generated by the aforementioned information processing device and providing improvement suggestions,

[0877] A system that includes this.

[0878] (Claim 2)

[0879] The system according to claim 1, wherein the feedback includes numerical evaluation and a specific action plan.

[0880] (Claim 3)

[0881] The system according to claim 1, wherein the information processing device securely sends and receives information using an encrypted communication method.

[0882] "Application Example 1"

[0883] (Claim 1)

[0884] Equipped with an information processing device for inputting target information,

[0885] The system includes a computing device that receives and analyzes the aforementioned target information,

[0886] A means for providing users with adjustment proposals for achieving the goal based on the data analyzed by the aforementioned computing device,

[0887] A means of monitoring progress and generating real-time feedback,

[0888] A means to analyze past goal achievement data and automate the setting of appropriate goals,

[0889] Equipped with an automated system that collects activity data and provides feedback to users based on that data,

[0890] A means of interacting with and supporting users using voice input / output devices,

[0891] A system that includes this.

[0892] (Claim 2)

[0893] The system according to claim 1, wherein the feedback includes numerical evaluation and specific improvement suggestions, and is provided through an acoustic output.

[0894] (Claim 3)

[0895] The system according to claim 1, wherein the computing device securely sends and receives data using an encrypted communication processing method and analyzes activity data.

[0896] "Example 2 of combining an emotion engine"

[0897] (Claim 1)

[0898] Equipped with an information processing device for inputting target information,

[0899] The system includes an information processing device that receives and analyzes the aforementioned target information,

[0900] A means for providing the user with adjustment proposals for achieving the goal based on the information analyzed by the aforementioned information processing device,

[0901] Equipped with an emotion analysis device to analyze the emotional state of the user,

[0902] The aforementioned emotion analysis device includes means for collecting user emotional state data and generating feedback and suggestions,

[0903] A means of transmitting real-time feedback and suggestions to the user's terminal via a communication device,

[0904] A system that includes means to analyze past goal achievement data and automate the setting of appropriate goals.

[0905] (Claim 2)

[0906] The system according to claim 1, wherein the feedback includes numerical evaluations, specific improvement suggestions, and emotionally-based suggestions.

[0907] (Claim 3)

[0908] The system according to claim 1, wherein the information processing device securely sends and receives information using an encrypted communication format.

[0909] "Application example 2 when combining with an emotional engine"

[0910] (Claim 1)

[0911] It is equipped with an information input device for inputting target information,

[0912] The system includes an information processing device that receives and analyzes the aforementioned target information,

[0913] A means for providing the user with adjustment proposals for achieving the goal based on the information analyzed by the aforementioned information processing device,

[0914] A means of monitoring progress and generating evaluations in real time,

[0915] A means to analyze past goal achievement data and automate the setting of appropriate goals,

[0916] A means for providing emotionally appropriate advice based on the analysis results, which includes an emotional engine that analyzes the user's emotional state,

[0917] Means used to support the achievement of life goals within the family,

[0918] A system that includes this.

[0919] (Claim 2)

[0920] The system according to claim 1, wherein the evaluation includes a numerical evaluation and specific improvement proposals, and further includes suggestions tailored to the user's emotional state.

[0921] (Claim 3)

[0922] The system according to claim 1, wherein the information processing device securely sends and receives information using an encrypted communication method. [Explanation of symbols]

[0923] 10, 210, 310, 410 Data Processing Systems 12 Data Processing Devices 14 Smart Devices 214 Smart Glasses 314 Headset-type terminal 414 Robots< / url:> < / url:> < / url:> < / url:>

Claims

1. Equipped with a terminal for inputting target information, The system includes a data processing device that receives and analyzes the aforementioned target information, A means for providing the user with adjustment proposals for achieving the goal based on the data analyzed by the aforementioned data processing device, A means of monitoring progress and generating real-time feedback, A system that includes means to analyze past goal achievement data and automate the setting of appropriate goals.

2. The system according to claim 1, wherein the feedback includes numerical evaluation and specific improvement suggestions.

3. The system according to claim 1, wherein the data processing device securely sends and receives data using an encrypted communication protocol.

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