system

Abstract

Provide a system. A means for receiving target data input by a user; means for analyzing the target data and generating process information for achieving the target; means for generating future diary entries in which goals are achieved based on said process information; means for selecting and inserting advertisements related to said diary entries; means for displaying said diary entries to a user; A system including:

Description

[Technical Field]

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

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

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

[0004] In modern society, many people have personal goals and dreams, but lack the clear process or motivation to achieve them. Furthermore, there is a lack of systems that can provide specific action plans for achieving goals, making it difficult for users to realize their goals. Furthermore, there are few systems with effective advertising revenue models, making monetization a challenge. [Means for solving the problem]

[0005] The present invention provides a system that receives goal data entered by a user, analyzes the data, and generates process information for achieving the goal. The system includes a means for generating a future diary entry in which the goal is achieved based on the generated process information. The system also includes a means for selecting and inserting advertisements related to the generated diary entry. The system also includes a means for displaying the diary entry to the user. In this way, the user can concretely visualize the process of achieving the goal, which not only helps to maintain motivation but also allows the system to earn advertising revenue.

[0006] Understood. Below are definitions of important terms included in the claims.

[0007] "Goal Data" refers to information about the goals and dreams that users want to achieve.

[0008] "Analysis" refers to the process of analyzing information based on received target data to understand its meaning and relevance.

[0009] "Process information" refers to information about specific steps and action plans for achieving a goal.

[0010] "Future diary entries" refer to the contents of a virtual diary that describes the situation and emotions the user will have after achieving their goal.

[0011] "Advertising" refers to the promotion of products or introductions to services related to achieving a user's goals.

[0012] A "database" refers to a collection of accumulated data that stores information systematically and can be searched and retrieved as needed.

[0013] "Natural language processing" refers to the technical field that enables computers to understand, analyze, and generate human language.

[0014] "Display" refers to the act of visually presenting data or information to a user. [Brief explanation of the drawings]

[0015] [Figure 1] 1 is a conceptual diagram showing an example of the configuration of a data processing system according to a first embodiment. [Figure 2] 1 is a conceptual diagram showing an example of main functions of a data processing device and a smart device according to a first embodiment. [Figure 3] FIG. 10 is a conceptual diagram showing an example of the configuration of a data processing system according to a second embodiment. [Figure 4] FIG. 10 is a conceptual diagram showing an example of main functions of a data processing device and smart glasses according to a second embodiment. [Figure 5] FIG. 10 is a conceptual diagram showing an example of the configuration of a data processing system according to a third embodiment. [Figure 6] FIG. 11 is a conceptual diagram showing an example of main functions of a data processing device and a headset-type terminal according to a third embodiment. [Figure 7] FIG. 10 is a conceptual diagram showing an example of the configuration of a data processing system according to a fourth embodiment. [Figure 8] FIG. 10 is a conceptual diagram showing an example of main functions of a data processing device and a robot according to a fourth embodiment. [Figure 9] 1 shows an emotion map onto which multiple emotions are mapped. [Figure 10] 1 shows an emotion map onto which multiple emotions are mapped. [Figure 11] FIG. 3 is a sequence diagram showing a processing flow of the data processing system according to the first embodiment. [Figure 12] FIG. 10 is a sequence diagram showing the flow of processing in the data processing system in Application Example 1. [Figure 13] FIG. 10 is a sequence diagram showing the flow of processing in the data processing system according to the second embodiment when an emotion engine is combined. [Figure 14] FIG. 10 is a sequence diagram showing the flow of processing in the data processing system in Application Example 2 when an emotion engine is combined. DETAILED DESCRIPTION OF THE INVENTION

[0016] An example of an embodiment of a system according to the technology of the present disclosure will be described below with reference to the accompanying drawings.

[0017] First, the terms used in the following description will be explained.

[0018] In the following embodiments, a coded processor (hereinafter simply referred to as a "processor") may be a single arithmetic device or a combination of multiple arithmetic devices. Furthermore, a processor may be a single type of arithmetic device or a combination of multiple types of arithmetic devices. Examples of arithmetic devices include a CPU (Central Processing Unit), a GPU (Graphics Processing Unit), a GPGPU (General-Purpose computing on Graphics Processing Units), and an APU (Accelerated Processing Unit).

[0019] In the following embodiments, a coded RAM (Random Access Memory) is a memory in which information is temporarily stored and is used as a working memory by a processor.

[0020] In the following embodiments, the coded storage is one or more non-volatile storage devices that store various programs, various parameters, etc. Examples of non-volatile storage devices include flash memory (SSD (Solid State Drive)), magnetic disks (e.g., hard disks), and magnetic tapes.

[0021] In the following embodiments, a communication I / F (Interface) with a symbol is an interface including a communication processor, an antenna, etc. The communication I / F controls communication between multiple computers. Examples of communication standards applied to the communication I / F include wireless communication standards including 5G (5th Generation Mobile Communication System), Wi-Fi (registered trademark), Bluetooth (registered trademark), etc.

[0022] In the following embodiments, "A and / or B" is synonymous with "at least one of A and B." In other words, "A and / or B" means that it may be only A, only B, or a combination of A and B. Furthermore, in this specification, the same concept as "A and / or B" is also applied when three or more things are expressed connected by "and / or."

[0023] [First embodiment]

[0024] FIG. 1 shows an example of the configuration of a data processing system 10 according to the first embodiment.

[0025] 1, a data processing system 10 includes a data processing device 12 and a smart device 14. An example of the data processing device 12 is a server.

[0026] The data processing device 12 includes a computer 22, a database 24, and a communication I / F 26. The computer 22 is an example of a "computer" according to the technology of the present disclosure. The computer 22 includes a processor 28, a RAM 30, and a storage 32. The processor 28, the RAM 30, and the storage 32 are connected to a bus 34. The database 24 and the communication I / F 26 are also connected to the bus 34. The communication I / F 26 is connected to a network 54. Examples of the network 54 include a WAN (Wide Area Network) and / or a LAN (Local Area Network).

[0027] The smart device 14 includes a computer 36, a reception device 38, an output device 40, a camera 42, and a communication I / F 44. The computer 36 includes a processor 46, a RAM 48, and a storage 50. The processor 46, the RAM 48, and the storage 50 are connected to a bus 52. The reception device 38, the output device 40, and the camera 42 are also connected to the bus 52.

[0028] The reception device 38 includes a touch panel 38A, a microphone 38B, and the like, and receives user input. The touch panel 38A detects contact with an indicator (for example, a pen or a finger) to receive user input by the touch of the indicator. The microphone 38B detects the user's voice to receive user input by voice. The control unit 46A transmits data indicating the user input received by the touch panel 38A and the microphone 38B to the data processing device 12. In the data processing device 12, the specific processing unit 290 acquires the data indicating the user input.

[0029] The output device 40 includes a display 40A and a speaker 40B, and presents data to the user 20 by outputting the data in a form of expression that the user 20 can perceive (for example, audio and / or text). The display 40A displays visible information such as text and images in accordance with instructions from the processor 46. The speaker 40B outputs audio in accordance with instructions from the processor 46. The camera 42 is a compact digital camera equipped with an optical system including a lens, aperture, and shutter, and an imaging element such as a CMOS (Complementary Metal-Oxide-Semiconductor) image sensor or a CCD (Charge Coupled Device) image sensor.

[0030] The communication I / F 44 is connected to a network 54. The communication I / Fs 44 and 26 control the exchange of various information between the processor 46 and the processor 28 via the network 54.

[0031] FIG. 2 shows an example of the main functions of the data processing device 12 and the smart device 14.

[0032] 2, in the data processing device 12, a specific process is performed by the processor 28. A specific processing program 56 is stored in the storage 32. The specific processing program 56 is an example of a "program" according to the technology of the present disclosure. The processor 28 reads the specific processing program 56 from the storage 32 and executes the read specific processing program 56 on the RAM 30. The specific process is realized by the processor 28 operating as a specific processing unit 290 in accordance with the specific processing program 56 executed on the RAM 30.

[0033] The storage 32 stores a data generation model 58 and an emotion identification model 59. The data generation model 58 and the emotion identification model 59 are used by the identification processing unit 290.

[0034] In the smart device 14, the processor 46 performs the reception output process. The storage 50 stores a reception output program 60. The reception output program 60 is used in conjunction with the specific processing program 56 by the data processing system 10. The processor 46 reads the reception output program 60 from the storage 50 and executes the read reception output program 60 on the RAM 48. The reception output process is realized by the processor 46 operating as the control unit 46A in accordance with the reception output program 60 executed on the RAM 48.

[0035] Next, a description will be given of the specific processing performed by the specific processing unit 290 of the data processing device 12. In the following description, the data processing device 12 will be referred to as a "server" and the smart device 14 will be referred to as a "terminal."

[0036] The present invention relates to a system that clarifies the process for achieving a goal entered by a user and generates and displays a future diary after the goal is achieved. This system provides specific action steps based on the user's goal and can also earn advertising revenue by inserting related advertisements.

[0037] System Configuration

[0038] 1. User input of goals

[0039] A user starts the application and enters the goals and dreams they want to achieve into the text fields. This input information is called "goal data."

[0040] 2. Sending goal data

[0041] The terminal receives the user's input and sends it to the server using a communication method such as an HTTP request.

[0042] 3. Analysis of target data

[0043] The server analyzes the received goal data and generates specific process information for achieving the goal. Natural language processing technology can be used for the analysis.

[0044] 4. Generate process information

[0045] Based on the analysis results, the server generates specific steps and action plans for the user to achieve their goals. This information is called "process information."

[0046] 5. Generating future diary entries

[0047] The server uses the process information to generate future diary entries for when the user achieves the goal, including the emotions and achievements that led to the goal achievement.

[0048] 6. Advertisement selection and insertion

[0049] The server selects advertisements from a database that are relevant to the user's goals and process information, and inserts them appropriately into the generated future diary entries.

[0050] 7. Display future diary entries

[0051] The server sends the generated future diary entries and related advertisements to the device, which receives the data and displays it to the user, where the user can see what they will look like after achieving their goal and see recommended advertisements.

[0052] Specific examples

[0053] For example, if a user has a goal of "becoming fluent in English," this goal data is sent to the server. The server analyzes this goal data using natural language processing technology and generates process information such as "study English for 30 minutes every day," "attend an English conversation school once a week," and "practice conversation with English speakers." Based on the generated process information, the server then creates a future diary entry such as "Today, I successfully gave a presentation in English, which gave me confidence. I now feel like I've truly become fluent in English." The server then selects advertisements for English conversation schools and English learning apps and inserts them into the diary entry.

[0054] Finally, the system sends the generated future diary entry and related advertisements to the device, which then displays the diary entry to the user. This allows the user to visualize themselves as fluent English speakers in the future, motivating them to achieve their goal. The system also allows the user to earn advertising revenue by inserting relevant advertisements.

[0055] This invention provides users with specific guidelines for action to achieve their goals, and can increase their motivation by visualizing the future after achievement. In addition, it is possible to earn advertising revenue by effectively displaying related advertisements.

[0056] The processing flow will be explained below.

[0057] Step 1:

[0058] A user starts the application, enters their goals in the text field for entering goals and dreams, and then clicks the submit button, which captures the input data on the device.

[0059] Step 2:

[0060] The terminal transmits the acquired user goal data to the server as an HTTP POST request, which includes the goal data.

[0061] Step 3:

[0062] The server receives the HTTP POST request, extracts the target data from the request, and then passes this target data to a natural language processing (NLP) module to parse the data.

[0063] Step 4:

[0064] The server uses an NLP module to analyze the goal data and generate specific process information for achieving the goal (e.g., study English for 30 minutes every day, attend an English conversation school once a week).

[0065] Step 5:

[0066] Based on the process information generated by the server, a future diary entry is generated in which the user achieves their goal, for example, "Today, I gave a successful presentation in English, and now I feel more confident."

[0067] Step 6:

[0068] The server selects advertisements from a database that are relevant to the target data and process information, and inserts the most relevant advertisements into the generated future diary entries.

[0069] Step 7:

[0070] The server sends future diary entries and inserted advertisements in JSON format to the device.

[0071] Step 8:

[0072] The device parses the received JSON data and displays it to the user, allowing them to view future diary entries and related advertisements.

[0073] Example 1

[0074] Next, a description will be given of Example 1. In the following description, the data processing device 12 will be referred to as a "server" and the smart device 14 will be referred to as a "terminal."

[0075] Conventional systems lacked the means to provide users with a concrete process for achieving their goals or the means to visualize the future after achieving them. As a result, users had difficulty obtaining concrete guidelines for achieving their goals, leading to problems with their motivation. Furthermore, these systems lacked an effective way to generate advertising revenue, making them unsustainable as businesses.

[0076] The specific processing by the specific processing unit 290 of the data processing device 12 in the first embodiment is realized by the following means.

[0077] In this invention, the server includes means for receiving goal data entered by the user, means for analyzing the goal data and generating process information for achieving the goal, means for generating a future diary entry in which the goal is achieved based on the process information, means for selecting and inserting advertisements related to the generated future diary entry, and means for displaying the future diary entry to the user. This provides the user with a concrete guide to action and increases their motivation by visualizing their future after achieving their goal. Furthermore, by effectively displaying relevant advertisements, the system can earn advertising revenue, improving business sustainability.

[0078] "Goal data" is information that a user enters into the system that describes the goals or dreams they wish to achieve.

[0079] "Process information" is a set of specific steps and guidelines for achieving a goal, which is generated by the server by analyzing the goal data.

[0080] A "future diary entry" is diary-style information that is generated by the server based on process information and describes the future situation and emotions of the user when they have achieved their goal.

[0081] A "generative AI model" is an artificial intelligence model that uses natural language processing technology to analyze target data and generate process information.

[0082] "Advertisements" are information introducing products or services related to the user's goals or process information, and are inserted into future diary entries by the server.

[0083] "Server" is a collection of hardware and software that receives and analyzes user targeting data, processes information and generates future diary entries, and selects and displays advertisements.

[0084] A "terminal" is a device through which a user inputs goal data and receives and displays future diary entries and advertisements sent from the server, and includes personal computers and smartphones.

[0085] The present invention relates to a system that provides a specific process for achieving a goal entered by a user and generates and displays future diary entries after the goal is achieved. This system provides a course of action for the user and can earn advertising revenue by inserting relevant advertisements. A specific embodiment of this system is described below.

[0086] System Configuration

[0087] 1. User input of goals

[0088] The user starts the application and inputs their goal. This goal is saved on the device as "goal data." For example, the user might input, "I want to be able to speak English fluently."

[0089] 2. Sending goal data

[0090] The device retrieves the target data and sends it to the server via an HTTP request, including metadata such as the user ID.

[0091] 3. Analysis of target data

[0092] The server analyzes the received goal data using natural language processing technology. Specifically, a generative AI model (e.g., GPT-3 (registered trademark)) is used, and a prompt such as "My goal is to become fluent in English. Please tell me the specific steps to achieve this goal" is sent to the generative AI model.

[0093] 4. Generate process information

[0094] The server generates specific process information based on the information returned by the AI ​​model. Examples include steps such as "study English for 30 minutes every day," "attend an English conversation school once a week," and "practice conversation with English speakers."

[0095] 5. Generating future diary entries

[0096] Based on the process information, the server generates a future diary entry for when the user has achieved their goal. For example, a diary entry with the content "Today, I gave a successful presentation in English, which gave me confidence. I feel like I can really speak fluently now."

[0097] 6. Advertisement selection and insertion

[0098] The server selects advertisements related to the user's process information from the database and inserts them into the generated future diary entries. For example, advertisements related to English conversation schools or English learning apps are selected and placed in the diary entries.

[0099] 7. Display future diary entries

[0100] The server generates future diary entries and sends advertisements to the device, which receives them and displays them on the user's screen. The user can see what they will look like after achieving their goal and see recommended advertisements.

[0101] Hardware and Software Configuration

[0102] Server: A cloud server with a powerful processor and a large amount of memory.

[0103] Device: The computer or smartphone used by the user.

[0104] software:

[0105] Web or mobile applications (user interface portion)

[0106] Server-side programs (using Python or Node.js)

[0107] Database (MySQL or MongoDB)

[0108] Natural language processing engines (generative AI models such as GPT-3)

[0109] Specific examples

[0110] The user enters their goal, such as "I want to be able to speak English fluently," into the application, and the device sends the goal data to the server. The server then sends the goal data to a generative AI model to obtain steps to achieve the goal. Based on this, the server generates process information, such as "study English for 30 minutes every day" or "attend an English conversation school once a week." The server then creates future diary entries based on these steps and inserts advertisements for English conversation schools and English learning apps. The server then sends these future diary entries and related advertisements to the user's device, which displays them. Through the future diary, the user can visualize themselves speaking English fluently, increasing their motivation to achieve their goal. The system also earns advertising revenue, improving the sustainability of its business.

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

[0112] Step 1:

[0113] The user starts the application and enters their goal. They enter their goal (e.g., "I want to be able to speak English fluently") in the input field and press the submit button. This generates the goal data.

[0114] Input: User-entered goal data

[0115] Output: Goal data saved on the device

[0116] Step 2:

[0117] The device acquires the goal data entered by the user and sends an HTTP POST request to the server. The request body includes the goal data and metadata such as the user ID.

[0118] Input: Goal data stored on the device

[0119] Output: HTTP request sent to the server

[0120] Step 3:

[0121] The server receives the HTTP request, analyzes the target data, and uses natural language processing techniques to send a prompt to the generative AI model: "My goal is to become fluent in English. Please tell me the specific steps I need to take to achieve this goal."

[0122] Input: Target data received by the server

[0123] Output: The prompt sent to the generative AI model

[0124] Step 4:

[0125] The generative AI model generates specific steps (process information) based on the prompt and returns them to the server. Examples include "Study English for 30 minutes every day," "Attend an English conversation school once a week," and "Practice conversation with English speakers."

[0126] Input: prompt statement

[0127] Output: Process information

[0128] Step 5:

[0129] The server generates a future diary entry for after the goal is achieved based on the generated process information. For example, a diary entry with the content "Today, I successfully gave a presentation in English, which gave me confidence. I feel like I can really speak fluently now."

[0130] Input: Process information

[0131] Output: Future diary entry

[0132] Step 6:

[0133] The server selects advertisements related to the user's process information from the database and inserts them into future diary entries. For example, advertisements for English conversation schools or English learning apps are inserted.

[0134] Input: Future diary entries and process information

[0135] Output: Future diary entry with ad inserted

[0136] Step 7:

[0137] The server sends the generated future diary entries and advertisements to the device, which receives them and displays them on the user's screen. The user can then see what their future self will look like after achieving their goal and related advertisements.

[0138] Input: Future diary entry with ad inserted

[0139] Output: Future diary entries and advertisements displayed on the user's device

[0140] (Application example 1)

[0141] Next, a description will be given of Application Example 1. In the following description, the data processing device 12 will be referred to as a "server" and the smart device 14 will be referred to as a "terminal."

[0142] Conventional goal achievement support systems have had problems in that it is difficult for users to intuitively grasp the specific action steps to achieve their goals, making it difficult to maintain motivation. Furthermore, the targeting of goal-related advertisements is insufficient, making it difficult to display advertisements effectively. Furthermore, the motivation-boosting effect of visualizing one's future self is not fully utilized.

[0143] The specific processing by the specific processing unit 290 of the data processing device 12 in the application example 1 is realized by the following means.

[0144] In this invention, the server includes means for analyzing the goal entered by the user and providing specific action steps for achieving the goal, means for adding advertisements to future diary entries after the goal is achieved, and means for visualizing the diary entries and advertisements to the user, thereby enabling the user to obtain specific guidelines for action and increase motivation, and also making it possible to earn revenue by effectively displaying related advertisements.

[0145] "Goal data" is information that verbalizes the specific goals and dreams that the user is trying to achieve.

[0146] "Process information" refers to the specific action steps and action plans required to achieve a goal.

[0147] A "future diary entry" is a sentence created in anticipation of the future after the user has achieved their goal.

[0148] An "advertisement" is promotional information related to a user's goals or action steps.

[0149] "Visualization" refers to the presentation of information to a user in the form of images, text, or other formats.

[0150] "Natural language processing" is a technology that enables computers to understand, interpret, and generate human language.

[0151] A "database" is a software system for efficiently searching, storing, and managing large amounts of data.

[0152] The present invention is a system that helps users achieve their goals and visualizes the process, consisting of steps for receiving and analyzing goal data, generating process information and future diary entries, selecting and inserting advertisements, and displaying them to the user.

[0153] System configuration

[0154] The hardware and software used in implementing the present invention include the following:

[0155] Hardware: The smartphone used by the user.

[0156] Frontend: React Native (Mobile App Development).

[0157] Backend: Node.js and Express (server construction).

[0158] Database: MongoDB.

[0159] Natural Language Processing: OpenAI® GPT-4® API.

[0160] Ad serving: Google(R) AdMob.

[0161] Program processing

[0162] The system performs the following process:

[0163] 1. User enters goal data:

[0164] A user uses a smartphone to enter a goal into a text field within the application, for example, "I want to be able to speak English fluently."

[0165] 2. Sending target data:

[0166] The device sends the input target data to the backend Node.js server using an HTTP request. Through this communication, the target data reaches the server.

[0167] 3. Target data analysis:

[0168] The server analyzes the received goal data using OpenAI GPT-4. Based on the analysis results, it generates specific action steps to achieve the goal. For example, steps such as "study English for 30 minutes every day" or "attend an English conversation school once a week."

[0169] 4. Generate process information:

[0170] Based on the analyzed action steps, the server generates process information to provide to the user. This information is stored in a database (MongoDB).

[0171] 5. Generate future diary entries:

[0172] Using the process information, the server generates future diary entries, such as "Today, I gave a successful presentation in English, which has given me confidence."

[0173] 6. Advertisement Selection and Insertion:

[0174] The server selects relevant advertisements based on the goal data and process information. Google AdMob is used to insert advertisements for English conversation schools and English learning apps into diary entries.

[0175] 7. View future diary entries:

[0176] The server sends the generated future diary entries and advertisements to the user's device and displays them on the front end, allowing the user to visualize their future self and increase their motivation.

[0177] Specific examples

[0178] The user inputs the goal "I want to be able to speak English fluently," and the server sends the following prompt to OpenAI GPT-4 to analyze this goal.

[0179] Example prompt sentence:

[0180] “The user has a goal: ‘I want to be able to speak English fluently.’ Generate specific action steps to achieve this goal, then create a future diary entry for when the goal is achieved. Also, insert advertisements for English conversation schools or English learning apps into the diary entry.”

[0181] As a result, users can obtain specific guidelines for action and be more motivated to achieve their goals. Furthermore, the system can earn advertising revenue by effectively displaying relevant advertisements.

[0182] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[0183] Step 1:

[0184] User enters goal data:

[0185] The user turns on the smartphone and enters their goal into a text field within the application.

[0186] Input: Goal data (e.g., "I want to be able to speak English fluently")

[0187] Output: The entered target data is temporarily saved on the device.

[0188] Step 2:

[0189] Sending goal data:

[0190] The terminal transmits the input target data to the server using an HTTP request.

[0191] Input: Temporarily saved goal data

[0192] Data processing: Packaging into HTTP request format.

[0193] Output: The target data sent to the server as an HTTP request

[0194] Step 3:

[0195] Analysis of target data:

[0196] The server analyzes the received goal data and calls the OpenAI GPT-4 API to generate specific action steps.

[0197] Input: Target data received by the server

[0198] Data Computation: Use natural language processing to generate action steps to achieve goals.

[0199] Output: Behavioral step data (e.g., "Study English for 30 minutes every day," "Attend English conversation school once a week")

[0200] Step 4:

[0201] Generate process information:

[0202] The server generates process information based on the analysis results and stores it in a database.

[0203] Input: Behavioral step data

[0204] Data processing: Converting action step data into process information format

[0205] Output: Process information (e.g., "English study plan") is saved in a database

[0206] Step 5:

[0207] Generate future diary entries:

[0208] The server uses the process information to generate future diary entries, again using the OpenAI GPT-4 API.

[0209] Input: Process information

[0210] Data calculation: generating future diary entries

[0211] Output: Future diary entry (e.g., "Today, I gave a successful presentation in English, which has boosted my confidence.")

[0212] Step 6:

[0213] Ad selection and insertion:

[0214] The server uses Google AdMob to select relevant advertisements based on the target data and process information and inserts them into the generated future diary entries.

[0215] Input: Future diary entries, goal data, process information

[0216] Data processing: Selection of advertisements and insertion into diary entries

[0217] Output: Future diary entry with ad inserted

[0218] Step 7:

[0219] View future diary entries:

[0220] The server transmits the generated future diary entries and advertisements to the terminal, which displays them to the user.

[0221] Input: Future diary entry with ad inserted

[0222] Data processing: Converting data into a format that can be displayed to the user

[0223] Output: Future diary entries and advertisements visually displayed on the user's device

[0224] Furthermore, an emotion engine that estimates the user's emotion may be combined. That is, the identification processing unit 290 may estimate the user's emotion using the emotion identification model 59 and perform identification processing using the user's emotion.

[0225] This invention relates to a system that clarifies the process for achieving a goal entered by a user and generates and displays a future diary entry after the goal is achieved. This system provides specific action steps based on the user's goal and can also generate advertising revenue by inserting relevant advertisements. Furthermore, this system incorporates an emotion engine that recognizes the user's emotions and further personalizes the goal achievement process and future diary entry based on the user's emotions.

[0226] System Configuration

[0227] 1. User input of goals

[0228] The user starts the application and enters their goals and dreams in the text field. This input information is called "goal data." The user can also input their current emotions, or the emotion engine can automatically recognize emotions.

[0229] 2. Sending goal and emotion data

[0230] The terminal receives the user's input (goal data and emotion data) and sends it to the server using a communication means such as an HTTP request.

[0231] 3. Analysis of goal and emotion data

[0232] The server receives the HTTP request, extracts the goal and emotion data from the request, and then passes the goal and emotion data to a natural language processing (NLP) module and emotion engine for data analysis.

[0233] 4. Generate process information

[0234] The server uses the NLP module and emotion engine to analyze the goal data and generate specific process information for achieving the goal (e.g., study English for 30 minutes every day, attend an English conversation school once a week). The emotion engine takes the user's emotion data into consideration and provides the optimal process information.

[0235] 5. Generating future diary entries

[0236] The server uses the process information and emotion data to generate future diary entries for when the user achieves their goal. These diary entries include the emotions and results that led to the goal achievement. The emotion engine adjusts the content according to the user's emotional state.

[0237] 6. Advertisement selection and insertion

[0238] The server selects advertisements related to the user's goal data, process information, and emotion data from the database and inserts them appropriately into the generated future diary entries.

[0239] 7. Display future diary entries

[0240] The server generates future diary entries and related advertisements and sends them to the device in JSON format. The device receives this data and displays it to the user, where they can see what they will look like after achieving their goal and see recommended advertisements.

[0241] Specific examples

[0242] For example, if a user has a goal of "becoming fluent in English," this goal data is sent to the server. At the same time, the emotion engine recognizes emotion data such as "high motivation" based on the user's input and facial recognition. The server then analyzes the goal data and emotion data using natural language processing and the emotion engine, generating process information such as "study English for 30 minutes every day," "attend an English conversation school once a week," and "practice conversation with English speakers." Based on the generated process information and "high motivation," the server then creates a future diary entry such as "Today, I successfully gave a presentation in English, which gave me confidence. I now feel like I've truly become fluent." Furthermore, it selects advertisements for English conversation schools and English learning apps and inserts them into the diary entry.

[0243] Finally, the system sends the generated future diary entry and related advertisements to the device, which then displays the diary entry to the user. This allows the user to visualize themselves as fluent English speakers in the future, motivating them to achieve their goal. The system also allows the user to earn advertising revenue by inserting relevant advertisements.

[0244] This invention provides users with concrete guidelines for their goals and can increase their motivation by visualizing the future after achievement. It also makes it possible to earn advertising revenue by effectively displaying relevant advertisements. Furthermore, by combining it with an emotion engine, it is possible to provide a personalized experience optimized for the user's emotions, further enhancing the usefulness of the system.

[0245] The processing flow will be explained below.

[0246] Step 1:

[0247] Users launch the application, enter their goals and dreams into the text field, and then select their emotion, or the emotion engine will automatically recognize emotions through facial and voice recognition.

[0248] Step 2:

[0249] The terminal receives the goal data and emotion data and sends them to the server in an HTTP POST request, which includes the user's goal data and emotion data.

[0250] Step 3:

[0251] The server receives the HTTP POST request, extracts goal and sentiment data from the request, and sends this data to the natural language processing (NLP) module and sentiment engine for analysis.

[0252] Step 4:

[0253] The server uses the NLP module to analyze the goal data using natural language processing technology. Based on the analysis results, it generates specific process information for achieving the goal (e.g., study English for 30 minutes every day, attend an English conversation school once a week).

[0254] Step 5:

[0255] The server uses an emotion engine to analyze the emotion data. Using the analysis results, the server optimizes the process information to match the user's emotions. For example, if the user's emotion data indicates that they are "highly motivated," the server generates process information that includes challenging steps.

[0256] Step 6:

[0257] The server generates future diary entries based on the integrated process information. The diary entries take into consideration the user's emotions. For example, a diary entry might say, "Today, I gave a successful presentation in English, which gave me confidence. By keeping my motivation high, I feel like I've really become fluent in English."

[0258] Step 7:

[0259] The server selects relevant advertisements from a database based on the goal data, process information, and emotion data, and inserts the most relevant advertisements into the generated future diary entries.

[0260] Step 8:

[0261] The server sends future diary entries and inserted advertisements in JSON format to the device.

[0262] Step 9:

[0263] The device parses the received JSON data and displays future diary entries and related advertisements to the user, allowing the user to see what they will look like after achieving their goal and see recommended advertisements.

[0264] Example 2

[0265] Next, a description will be given of Example 2. In the following description, the data processing device 12 will be referred to as a "server" and the smart device 14 will be referred to as a "terminal."

[0266] Conventional goal achievement support systems only provide specific guidelines for actions to be taken toward the goals set by the user. Furthermore, they do not take into account the user's emotional state, making it difficult to provide a personalized experience tailored to each individual user. This makes it difficult to continuously maintain user motivation, and they are unable to achieve effective goal achievement. Furthermore, they lack intelligent methods for effectively displaying advertisements, making it difficult to increase advertising revenue.

[0267] The specific processing by the specific processing unit 290 of the data processing device 12 in the second embodiment is realized by the following means.

[0268] In this invention, the server includes means for receiving goal data and emotion data entered by the user, means for analyzing the goal data and emotion data and generating process information for achieving the goal, and means for generating a future diary entry in which the goal is achieved based on the process information and emotion data. This makes it possible to provide specific and emotion-conscious process information for the goal set by the user and generate personalized future diary entries. This also makes it possible to effectively insert relevant advertisements, thereby realizing advertisement display optimized for the user's emotional state and increasing advertising revenue.

[0269] "Goal Data" is information about a particular purpose or goal that a user wishes to achieve.

[0270] "Emotion data" is information about a user's emotional state, and is obtained using text input and emotion recognition technology.

[0271] "Process information" refers to information about specific action steps and activities required for a user to achieve a goal.

[0272] A "future diary entry" is a hypothetical diary entry that describes the events and feelings that will occur when a goal is achieved in the future.

[0273] "Advertisement" is promotional information about products and services related to the user's goal data, process information, and emotion data.

[0274] A "natural language processing (NLP) module" is a software module that uses computer technology to understand and analyze human language.

[0275] An "emotion engine" is a software module that analyzes a user's emotional state and provides customized information based on the results of that analysis.

[0276] A "server" is a computer system for receiving and analyzing a user's goal and emotion data and generating process information and future diary entries.

[0277] A "terminal" is a computing device that a user uses to input goal data and emotion data and receive the results.

[0278] MODE FOR CARRYING OUT THE INVENTION

[0279] This invention is a system that aims to provide specific process information for achieving a goal set by a user and generate and display future diary entries after the goal is achieved. The system provides personalized guidelines based on the user's goals and emotional information, and displays future diary entries and related advertisements based on these guidelines.

[0280] System Configuration

[0281] 1. User input of goals

[0282] A user launches an application and inputs a goal and emotional state. This information is called "goal data" and "emotion data."

[0283] 2. Sending goal and emotion data

[0284] The terminal receives the goal data and emotion data input by the user and sends them to the server via HTTP requests.

[0285] 3. Analysis of goal and emotion data

[0286] The server analyzes the received goal data and emotion data using a natural language processing (NLP) module and emotion engine.

[0287] 4. Generate process information

[0288] Based on the analysis results, the server generates specific process information necessary for the user to achieve their goal. The emotion engine takes into account the user's emotional data and provides optimal guidelines for action.

[0289] 5. Generating future diary entries

[0290] The server uses the process information and emotion data to generate future diary entries, and the emotion engine adjusts the diary content.

[0291] 6. Advertisement selection and insertion

[0292] The server selects advertisements related to the goal data, process information, and emotion data from a database and inserts them into the generated future diary entries.

[0293] 7. Display future diary entries

[0294] The server transmits the generated future diary entries and associated advertisements to the terminal, which displays them to the user.

[0295] Hardware and software used

[0296] Hardware:

[0297] Server: A computer system for high-performance data processing

[0298] Device: A device operated by a user, such as a smartphone, tablet, or computer

[0299] software:

[0300] Natural Language Processing (NLP) Module

[0301] Emotion Engine

[0302] Communication method using HTTP protocol

[0303] Specific examples

[0304] For example, if a user has a goal of "becoming fluent in English," this goal data is sent to the server. At the same time, the emotion engine recognizes emotion data such as "high motivation" based on the user's input and facial recognition. The server analyzes the goal data and emotion data using natural language processing and the emotion engine, and generates process information such as "study English for 30 minutes every day," "attend an English conversation school once a week," and "practice conversation with English speakers."

[0305] The server then creates a future diary entry based on the generated process information and "high motivation," such as "Today, I gave a successful presentation in English, which gave me confidence. I feel like I've become truly fluent." It also selects advertisements for English conversation schools and English learning apps and inserts them into the diary entry.

[0306] Finally, the system sends the generated future diary entry and related advertisements to the device, which then displays the diary entry to the user. This allows the user to visualize themselves as fluent English speakers in the future, motivating them to achieve their goal. The system also allows the user to earn advertising revenue by inserting relevant advertisements.

[0307] Example prompt sentence:

[0308] "The future diary entry generation system recognizes that the user's goal is 'I want to be able to speak English fluently,' and that their current emotion is 'highly motivated.' Based on this information, generate a specific process, such as studying English for 30 minutes every day or attending an English conversation school once a week, and create a future diary entry that follows that process. Adjust the diary entry to include topics about successful presentations and the emotions associated with them, and insert appropriate English learning advertisements."

[0309] The flow of the identification process in the second embodiment will be described with reference to FIG.

[0310] Step 1:

[0311] The user starts the application and enters goal data (e.g., "I want to be able to speak English fluently") into the input screen. In addition, the user can enter current emotion data (e.g., "I'm highly motivated"), or the emotion engine can automatically recognize the emotion.

[0312] Input: Goal data and emotion data entered by the user.

[0313] Output: The goal data and emotion data are saved to the device.

[0314] Specific actions: Enter "I want to be able to speak English fluently" in the text field and select "High" as the emotional state. Or, use the camera to recognize the user's facial expression.

[0315] Step 2:

[0316] The terminal receives the goal data and emotion data input by the user, creates an HTTP request, and sends it to the server.

[0317] Input: The goal data and emotion data entered in step 1.

[0318] Output: An HTTP request containing goal and emotion data.

[0319] Specific operation: The device sends a "POST" request to https: / / example.com / api / goals.

[0320] Step 3:

[0321] The server extracts goal data and emotion data from the received HTTP request and passes them to the natural language processing (NLP) module and emotion engine for analysis.

[0322] Input: An HTTP request containing goal and emotion data sent from the device.

[0323] Output: Analysis results from the NLP module and the emotion engine.

[0324] Specific operation: The server extracts the data "Goal = I want to be able to speak English fluently" and "Emotion = High" and analyzes it.

[0325] Step 4:

[0326] The server generates process information necessary to achieve the user's goals based on the analysis results of the NLP module and emotion engine.

[0327] Input: Analysis results of the NLP module and emotion engine.

[0328] Output: Process information to achieve the goal.

[0329] Specific actions: Generate process information such as "study English for 30 minutes every day" or "attend an English conversation school once a week."

[0330] Step 5:

[0331] The server combines the process information and emotion data to generate future diary entries, and an emotion engine adjusts the diary content based on the user's emotions.

[0332] Input: Process information and emotion data.

[0333] Output: The user's future diary entries.

[0334] Specific action: Create a diary entry that reads, "Today, I gave a successful presentation in English and feel more confident."

[0335] Step 6:

[0336] The server selects advertisements from the database that are relevant to the user's goal data, process information, and emotion data, and inserts them into the generated future diary entries.

[0337] Input: goal data, process information, emotion data, advertising database.

[0338] Output: Future diary entry with ad inserted.

[0339] Specific actions: Select advertisements for English conversation schools and English learning apps and insert them into diary entries.

[0340] Step 7:

[0341] The server transmits the generated future diary entries and associated advertisements to the terminal, which displays them to the user.

[0342] Input: A future diary entry with an ad inserted.

[0343] Output: Future diary entries and advertisements displayed to the user.

[0344] Specific operation: The device analyzes the data received from the server and displays future diary entries and related advertisements on the screen.

[0345] (Application example 2)

[0346] Next, a description will be given of Application Example 2. In the following description, the data processing device 12 will be referred to as a "server" and the smart device 14 will be referred to as a "terminal."

[0347] Conventional goal management systems struggled to provide specific guidelines for users' set goals and lacked the ability to visualize the future after achievement. This made it difficult for users to maintain their motivation to achieve their goals. They also had limited means of generating revenue by effectively inserting relevant advertisements. Furthermore, they lacked a personalized approach that took user emotions into account, making it impossible to provide optimized support for individual users.

[0348] The specific processing by the specific processing unit 290 of the data processing device 12 in Application Example 2 is realized by the following means. In this invention, the server includes means for receiving goal data entered by the user, means for analyzing the goal data and providing specific guidelines for achieving the goal based on the goal data, means for generating a future diary entry in which the goal is achieved based on the guidelines, means for selecting and inserting advertisements related to the diary entry, means for displaying the diary entry and related advertisements to the user, and means for recognizing the user's emotional data and personalizing the goal-achievement process and future diary entries based on the user's emotions. This allows the user to obtain specific and personalized guidelines for achieving the goal and to increase motivation by visualizing the future after the goal is achieved. Furthermore, it is possible to provide support optimized for the user's emotions while effectively inserting relevant advertisements.

[0349] A "user" is an individual who uses the system to set goals and receive support in achieving those goals.

[0350] "Goal data" is information relating to the goals and dreams that the user wants to achieve, and is data that is entered in text format.

[0351] A "course of action" is a concrete step or action plan that a user must take to achieve their goal.

[0352] A "future diary entry" is a diary-style document that describes the future situation or state when the user achieves the goal.

[0353] "Advertisement" means information promoting goods or services related to the target data or course of action.

[0354] "Emotion data" refers to information about the user's current feelings and emotional state, and is data obtained in text format or through automatic recognition.

[0355] "Natural language processing" is a technology that enables computers to understand, analyze, and generate human language.

[0356] "Personalization" means providing content and services that are optimized to suit the characteristics and circumstances of each individual user.

[0357] A "server" is a computer system that receives, analyzes, and processes goal data and emotion data from a user.

[0358] "Database" means an information storage system that stores advertisements and other related information and that can be searched or referenced as needed.

[0359] This invention is a system that provides specific guidelines for achieving a goal set by a user and generates and displays future diary entries after the goal is achieved. This system is characterized by recognizing the user's emotional data and personalizing the guidelines and future diary entries based on that data.

[0360] System configuration

[0361] The system consists of the following main elements:

[0362] User device: A device such as a smartphone or head-mounted display (HMD) through which the user inputs their goals and views the generated future diary entries.

[0363] Server: A central system that receives, analyzes, and processes goal data and emotion data.

[0364] Database: An information storage system for storing information such as goal data, emotion data, guidelines for action, and advertisements.

[0365] Hardware used

[0366] Smartphone: A device where users can enter their goals and check their results.

[0367] Head-mounted display (HMD): A device that provides a more interactive experience.

[0368] Server: A computer system for performing natural language processing and emotion recognition.

[0369] Software used

[0370] Python: A server-side programming language.

[0371] Flask: A server-side web framework.

[0372] SpaCy: A natural language processing library.

[0373] BERT: A deep learning model for emotion recognition.

[0374] openAI GPT-3: Used as a generative AI model.

[0375] System Operation Overview

[0376] 1. Goal input: The user inputs the goal they want to achieve and their current emotions using a smartphone or HMD. The goal data and emotion data are sent to the server.

[0377] 2. Data analysis: The server uses SpaCy and BERT to analyze the goal data and sentiment data. Based on the analysis results, it generates specific action guidelines.

[0378] 3. Generating future diary entries: Based on the guidelines, openAI GPT-3 is used to generate future diary entries when the user achieves their goal.

[0379] 4. Advertisement selection and insertion: The server selects advertisements from the database that are relevant to the generated future diary entries and inserts them appropriately.

[0380] 5. Displaying the results: The server sends the generated future diary entries and advertisements to the user's smartphone or HMD for display.

[0381] Specific examples

[0382] For example, if a user has a goal of "becoming fluent in English," this goal data is sent to the server. At the same time, the emotion engine recognizes emotion data such as "high motivation" based on the user's input and facial recognition. The server analyzes the goal data and emotion data using natural language processing and the emotion engine, and generates process information such as "study English for 30 minutes every day," "attend an English conversation school once a week," and "practice conversation with English speakers." Based on the generated process information and "high motivation," the server then creates a future diary entry such as, "Today, I successfully gave a presentation in English, which gave me confidence. I now feel like I've truly become fluent." Furthermore, it selects advertisements for English conversation schools and English learning apps and inserts them into the diary entry.

[0383] Example prompt sentence:

[0384] input:

[0385] Goal: To be able to speak English fluently

[0386] Emotion: Enthusiastic

[0387] output:

[0388] Future Diary:

[0389] "Today, May 10, 2024, I finally gave a presentation in English, and it was a great success. I received a lot of gratitude from many people, and it gave me a lot of confidence. I will continue to study English and aim to improve even more."

[0390] Recommended ads:

[0391] 1. English Conversation School A Course

[0392] 2. Learning App B's Premium Plan

[0393] 3. Pronunciation Correction Service C

[0394] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[0395] Step 1:

[0396] Entering and receiving goal and emotion data

[0397] The user inputs their goals and current emotions using a smartphone or head-mounted display (HMD). The input data is called "goal data" and "emotion data." The device then sends this data to the server.

[0398] Input: Goal data, emotion data

[0399] Data processing: Obtain goals and emotions in text format and convert them to JSON format

[0400] Output: Goal and emotion data in JSON format

[0401] Step 2:

[0402] Receiving and analyzing goal and emotion data

[0403] The server receives the goal data and emotion data sent from the device. It then analyzes the goal data using natural language processing (SpaCy) and the emotion data using the BERT model. This provides the basic data for generating the course of action needed to achieve the goal.

[0404] Input: JSON format goal data, emotion data

[0405] Data processing: Analyze target data using natural language processing, analyze emotional data using emotion recognition models

[0406] Output: Analysis results (analyzed targets, emotion recognition results)

[0407] Step 3:

[0408] Generating guidelines for action

[0409] The server uses the data analyzed in the previous step to generate specific action plans, feeding the analysis results into OpenAI's GPT-3 generative model to generate specific steps for the user to achieve their goal.

[0410] Input: Analysis results (analyzed target, emotion recognition results)

[0411] Data processing: Use the analysis results as prompts to input into the GPT-3 generative model

[0412] Output: Action guidelines (study English for 30 minutes every day, attend English conversation school once a week, etc.)

[0413] Step 4:

[0414] Generate future diary entries

[0415] The server uses the generated action plan and emotion data to generate future diary entries, again using GPT-3 to create a diary that details the future situation and emotions when the user achieves their goal.

[0416] Input: Action guidelines, emotional data

[0417] Data manipulation: Using behavioral and emotional data as prompts to feed the GPT-3 generative model

[0418] Output: Future diary entry

[0419] Step 5:

[0420] Ad selection and insertion

[0421] The server selects relevant advertisements from a database based on the generated future diary entry and the course of action, and the selected advertisements are inserted appropriately into the future diary entry.

[0422] Input: Future diary entry, course of action

[0423] Data processing: Search and select relevant advertisements from the database and insert them into the diary entry

[0424] Output: Future diary entry with advertisements

[0425] Step 6:

[0426] Displaying the results

[0427] The server sends the generated future diary entries and advertisements in JSON format to the user's device, which receives this data and displays it to the user.

[0428] Input: Future diary entry with ads

[0429] Data processing: Convert to JSON format and send to the terminal

[0430] Output: Future diary entries and advertisements displayed on the user's device

[0431] Specific examples (prompt sentence examples):

[0432] input:

[0433] Goal: To be able to speak English fluently

[0434] Emotion: Enthusiastic

[0435] output:

[0436] Future Diary:

[0437] "Today, May 10, 2024, I finally gave a presentation in English, and it was a great success. I received a lot of gratitude from many people, and it gave me a lot of confidence. I will continue to study English and aim to improve even more."

[0438] Recommended ads:

[0439] 1. English Conversation School A Course

[0440] 2. Learning App B's Premium Plan

[0441] 3. Pronunciation Correction Service C

[0442] The specific processing unit 290 transmits the result of the specific processing to the smart device 14. In the smart device 14, the control unit 46A causes the output device 40 to output the result of the specific processing. The microphone 38B acquires audio indicating a user input regarding the result of the specific processing. The control unit 46A transmits audio data indicating the user input acquired by the microphone 38B to the data processing device 12. In the data processing device 12, the specific processing unit 290 acquires the audio data.

[0443] The data generation model 58 is a so-called generative AI (Artificial Intelligence). An example of the data generation model 58 is ChatGPT (registered trademark) (Internet search engine).<URL: https: / / openai.com / blog / chatgpt> ), Gemini (registered trademark) (Internet search <url: https: gemini.google.com ?hl="ja">) and other generation AIs. The data generation model 58 is obtained by performing deep learning on a neural network. A prompt including an instruction is input to the data generation model 58, and inference data such as voice data indicating voice, text data indicating text, and image data indicating an image is also input. The data generation model 58 performs inference on the input inference data in accordance with the instruction indicated by the prompt, and outputs the inference result in a data format such as voice data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization.

[0444] In the above embodiment, an example in which the specific process is performed by the data processing device 12 has been given, but the technology of the present disclosure is not limited to this, and the specific process may be performed by the smart device 14.

[0445] [Second embodiment]

[0446] FIG. 3 shows an example of the configuration of a data processing system 210 according to the second embodiment.

[0447] 3, the data processing system 210 includes the data processing device 12 and smart glasses 214. An example of the data processing device 12 is a server.

[0448] The data processing device 12 includes a computer 22, a database 24, and a communication I / F 26. The computer 22 is an example of a "computer" according to the technology of the present disclosure. The computer 22 includes a processor 28, a RAM 30, and a storage 32. The processor 28, the RAM 30, and the storage 32 are connected to a bus 34. The database 24 and the communication I / F 26 are also connected to the bus 34. The communication I / F 26 is connected to a network 54. Examples of the network 54 include a WAN (Wide Area Network) and / or a LAN (Local Area Network).

[0449] The smart glasses 214 include a computer 36, a microphone 238, a speaker 240, a camera 42, and a communication I / F 44. The computer 36 includes a processor 46, a RAM 48, and a storage 50. The processor 46, the RAM 48, and the storage 50 are connected to a bus 52. The microphone 238, the speaker 240, and the camera 42 are also connected to the bus 52.

[0450] The microphone 238 receives instructions and the like from the user 20 by receiving voice uttered by the user 20. The microphone 238 captures the voice uttered by the user 20, converts the captured voice into audio data, and outputs it to the processor 46. The speaker 240 outputs audio in accordance with instructions from the processor 46.

[0451] Camera 42 is a small digital camera equipped with an optical system including a lens, aperture, and shutter, and an imaging element such as a CMOS (Complementary Metal-Oxide-Semiconductor) image sensor or a CCD (Charge Coupled Device) image sensor, and captures images of the surroundings of user 20 (for example, an imaging range defined by an angle of view equivalent to the field of vision of a typical healthy person).

[0452] The communication I / F 44 is connected to a network 54. The communication I / Fs 44 and 26 are responsible for the exchange of various information between the processor 46 and the processor 28 via the network 54. The exchange of various information between the processor 46 and the processor 28 using the communication I / Fs 44 and 26 is carried out in a secure state.

[0453] Fig. 4 shows an example of the main functions of the data processing device 12 and the smart glasses 214. As shown in Fig. 4, in the data processing device 12, a specific process is performed by the processor 28. A specific process program 56 is stored in the storage 32.

[0454] The specific processing program 56 is an example of a "program" according to the technology of the present disclosure. The processor 28 reads the specific processing program 56 from the storage 32 and executes the read specific processing program 56 on the RAM 30. The specific processing is realized by the processor 28 operating as a specific processing unit 290 in accordance with the specific processing program 56 executed on the RAM 30.

[0455] The storage 32 stores a data generation model 58 and an emotion identification model 59. The data generation model 58 and the emotion identification model 59 are used by the identification processing unit 290.

[0456] In the smart glasses 214, the reception output process is performed by the processor 46. A reception output program 60 is stored in the storage 50. The processor 46 reads the reception output program 60 from the storage 50 and executes the read reception output program 60 on the RAM 48. The reception output process is realized by the processor 46 operating as the control unit 46A in accordance with the reception output program 60 executed on the RAM 48.

[0457] Next, a description will be given of the identification process performed by the identification processing unit 290 of the data processing device 12. In the following description, the data processing device 12 will be referred to as the "server" and the smart glasses 214 will be referred to as the "terminal."

[0458] The present invention relates to a system that clarifies the process for achieving a goal entered by a user and generates and displays a future diary after the goal is achieved. This system provides specific action steps based on the user's goal and can also earn advertising revenue by inserting related advertisements.

[0459] System Configuration

[0460] 1. User input of goals

[0461] A user starts the application and enters the goals and dreams they want to achieve into the text fields. This input information is called "goal data."

[0462] 2. Sending goal data

[0463] The terminal receives the user's input and sends it to the server using a communication method such as an HTTP request.

[0464] 3. Analysis of target data

[0465] The server analyzes the received goal data and generates specific process information for achieving the goal. Natural language processing technology can be used for the analysis.

[0466] 4. Generate process information

[0467] Based on the analysis results, the server generates specific steps and action plans for the user to achieve their goals. This information is called "process information."

[0468] 5. Generating future diary entries

[0469] The server uses the process information to generate future diary entries for when the user achieves the goal, including the emotions and achievements that led to the goal achievement.

[0470] 6. Advertisement selection and insertion

[0471] The server selects advertisements from a database that are relevant to the user's goals and process information, and inserts them appropriately into the generated future diary entries.

[0472] 7. Display future diary entries

[0473] The server sends the generated future diary entries and related advertisements to the device, which receives the data and displays it to the user, where the user can see what they will look like after achieving their goal and see recommended advertisements.

[0474] Specific examples

[0475] For example, if a user has a goal of "becoming fluent in English," this goal data is sent to the server. The server analyzes this goal data using natural language processing technology and generates process information such as "study English for 30 minutes every day," "attend an English conversation school once a week," and "practice conversation with English speakers." Based on the generated process information, the server then creates a future diary entry such as "Today, I successfully gave a presentation in English, which gave me confidence. I now feel like I've truly become fluent in English." The server then selects advertisements for English conversation schools and English learning apps and inserts them into the diary entry.

[0476] Finally, the system sends the generated future diary entry and related advertisements to the device, which then displays the diary entry to the user. This allows the user to visualize themselves as fluent English speakers in the future, motivating them to achieve their goal. The system also allows the user to earn advertising revenue by inserting relevant advertisements.

[0477] This invention provides users with specific guidelines for action to achieve their goals, and can increase their motivation by visualizing the future after achievement. In addition, it is possible to earn advertising revenue by effectively displaying related advertisements.

[0478] The processing flow will be explained below.

[0479] Step 1:

[0480] A user starts the application, enters their goals in the text field for entering goals and dreams, and then clicks the submit button, which captures the input data on the device.

[0481] Step 2:

[0482] The terminal transmits the acquired user goal data to the server as an HTTP POST request, which includes the goal data.

[0483] Step 3:

[0484] The server receives the HTTP POST request, extracts the target data from the request, and then passes this target data to a natural language processing (NLP) module to parse the data.

[0485] Step 4:

[0486] The server uses an NLP module to analyze the goal data and generate specific process information for achieving the goal (e.g., study English for 30 minutes every day, attend an English conversation school once a week).

[0487] Step 5:

[0488] Based on the process information generated by the server, a future diary entry is generated in which the user achieves their goal, for example, "Today, I gave a successful presentation in English, and now I feel more confident."

[0489] Step 6:

[0490] The server selects advertisements from a database that are relevant to the target data and process information, and inserts the most relevant advertisements into the generated future diary entries.

[0491] Step 7:

[0492] The server sends future diary entries and inserted advertisements in JSON format to the device.

[0493] Step 8:

[0494] The device parses the received JSON data and displays it to the user, allowing them to view future diary entries and related advertisements.

[0495] Example 1

[0496] Next, a description will be given of Example 1. In the following description, the data processing device 12 will be referred to as a "server" and the smart glasses 214 will be referred to as a "terminal."

[0497] Conventional systems lacked the means to provide users with a concrete process for achieving their goals or the means to visualize the future after achieving them. As a result, users had difficulty obtaining concrete guidelines for achieving their goals, leading to problems with their motivation. Furthermore, these systems lacked an effective way to generate advertising revenue, making them unsustainable as businesses.

[0498] The specific processing by the specific processing unit 290 of the data processing device 12 in the first embodiment is realized by the following means.

[0499] In this invention, the server includes means for receiving goal data entered by the user, means for analyzing the goal data and generating process information for achieving the goal, means for generating a future diary entry in which the goal is achieved based on the process information, means for selecting and inserting advertisements related to the generated future diary entry, and means for displaying the future diary entry to the user. This provides the user with a concrete guide to action and increases their motivation by visualizing their future after achieving their goal. Furthermore, by effectively displaying relevant advertisements, the system can earn advertising revenue, improving business sustainability.

[0500] "Goal data" is information that a user enters into the system that describes the goals or dreams they wish to achieve.

[0501] "Process information" is a set of specific steps and guidelines for achieving a goal, which is generated by the server by analyzing the goal data.

[0502] A "future diary entry" is diary-style information that is generated by the server based on process information and describes the future situation and emotions of the user when they have achieved their goal.

[0503] A "generative AI model" is an artificial intelligence model that uses natural language processing technology to analyze target data and generate process information.

[0504] "Advertisements" are information introducing products or services related to the user's goals or process information, and are inserted into future diary entries by the server.

[0505] "Server" is a collection of hardware and software that receives and analyzes user targeting data, processes information and generates future diary entries, and selects and displays advertisements.

[0506] A "terminal" is a device through which a user inputs goal data and receives and displays future diary entries and advertisements sent from the server, and includes personal computers and smartphones.

[0507] The present invention relates to a system that provides a specific process for achieving a goal entered by a user and generates and displays future diary entries after the goal is achieved. This system provides a course of action for the user and can earn advertising revenue by inserting relevant advertisements. A specific embodiment of this system is described below.

[0508] System Configuration

[0509] 1. User input of goals

[0510] The user starts the application and inputs their goal. This goal is saved on the device as "goal data." For example, the user might input, "I want to be able to speak English fluently."

[0511] 2. Sending goal data

[0512] The device retrieves the target data and sends it to the server via an HTTP request, including metadata such as the user ID.

[0513] 3. Analysis of target data

[0514] The server analyzes the received goal data. This analysis uses natural language processing technology. Specifically, a generative AI model (e.g., GPT-3) is used, and a prompt such as "My goal is to become fluent in English. Please tell me the specific steps to achieve this goal" is sent to the generative AI model.

[0515] 4. Generate process information

[0516] The server generates specific process information based on the information returned by the AI ​​model. Examples include steps such as "study English for 30 minutes every day," "attend an English conversation school once a week," and "practice conversation with English speakers."

[0517] 5. Generating future diary entries

[0518] Based on the process information, the server generates a future diary entry for when the user has achieved their goal. For example, a diary entry with the content "Today, I gave a successful presentation in English, which gave me confidence. I feel like I can really speak fluently now."

[0519] 6. Advertisement selection and insertion

[0520] The server selects advertisements related to the user's process information from the database and inserts them into the generated future diary entries. For example, advertisements related to English conversation schools or English learning apps are selected and placed in the diary entries.

[0521] 7. Display future diary entries

[0522] The server generates future diary entries and sends advertisements to the device, which receives them and displays them on the user's screen. The user can see what they will look like after achieving their goal and see recommended advertisements.

[0523] Hardware and Software Configuration

[0524] Server: A cloud server with a powerful processor and a large amount of memory.

[0525] Device: The computer or smartphone used by the user.

[0526] software:

[0527] Web or mobile applications (user interface portion)

[0528] Server-side programs (using Python or Node.js)

[0529] Database (MySQL or MongoDB)

[0530] Natural language processing engines (generative AI models such as GPT-3)

[0531] Specific examples

[0532] The user enters their goal, such as "I want to be able to speak English fluently," into the application, and the device sends the goal data to the server. The server then sends the goal data to a generative AI model to obtain steps to achieve the goal. Based on this, the server generates process information, such as "study English for 30 minutes every day" or "attend an English conversation school once a week." The server then creates future diary entries based on these steps and inserts advertisements for English conversation schools and English learning apps. The server then sends these future diary entries and related advertisements to the user's device, which displays them. Through the future diary, the user can visualize themselves speaking English fluently, increasing their motivation to achieve their goal. The system also earns advertising revenue, improving the sustainability of its business.

[0533] The flow of the identification process in the first embodiment will be described with reference to FIG.

[0534] Step 1:

[0535] The user starts the application and enters their goal. They enter their goal (e.g., "I want to be able to speak English fluently") in the input field and press the submit button. This generates the goal data.

[0536] Input: User-entered goal data

[0537] Output: Goal data saved on the device

[0538] Step 2:

[0539] The device acquires the goal data entered by the user and sends an HTTP POST request to the server. The request body includes the goal data and metadata such as the user ID.

[0540] Input: Goal data stored on the device

[0541] Output: HTTP request sent to the server

[0542] Step 3:

[0543] The server receives the HTTP request, analyzes the target data, and uses natural language processing techniques to send a prompt to the generative AI model: "My goal is to become fluent in English. Please tell me the specific steps I need to take to achieve this goal."

[0544] Input: Target data received by the server

[0545] Output: The prompt sent to the generative AI model

[0546] Step 4:

[0547] The generative AI model generates specific steps (process information) based on the prompt and returns them to the server. Examples include "Study English for 30 minutes every day," "Attend an English conversation school once a week," and "Practice conversation with English speakers."

[0548] Input: prompt statement

[0549] Output: Process information

[0550] Step 5:

[0551] The server generates a future diary entry for after the goal is achieved based on the generated process information. For example, a diary entry with the content "Today, I successfully gave a presentation in English, which gave me confidence. I feel like I can really speak fluently now."

[0552] Input: Process information

[0553] Output: Future diary entry

[0554] Step 6:

[0555] The server selects advertisements related to the user's process information from the database and inserts them into future diary entries. For example, advertisements for English conversation schools or English learning apps are inserted.

[0556] Input: Future diary entries and process information

[0557] Output: Future diary entry with ad inserted

[0558] Step 7:

[0559] The server sends the generated future diary entries and advertisements to the device, which receives them and displays them on the user's screen. The user can then see what their future self will look like after achieving their goal and related advertisements.

[0560] Input: Future diary entry with ad inserted

[0561] Output: Future diary entries and advertisements displayed on the user's device

[0562] (Application example 1)

[0563] Next, a description will be given of Application Example 1. In the following description, the data processing device 12 will be referred to as a "server" and the smart glasses 214 will be referred to as a "terminal."

[0564] Conventional goal achievement support systems have had problems in that it is difficult for users to intuitively grasp the specific action steps to achieve their goals, making it difficult to maintain motivation. Furthermore, the targeting of goal-related advertisements is insufficient, making it difficult to display advertisements effectively. Furthermore, the motivation-boosting effect of visualizing one's future self is not fully utilized.

[0565] The specific processing by the specific processing unit 290 of the data processing device 12 in the application example 1 is realized by the following means.

[0566] In this invention, the server includes means for analyzing the goal entered by the user and providing specific action steps for achieving the goal, means for adding advertisements to future diary entries after the goal is achieved, and means for visualizing the diary entries and advertisements to the user, thereby enabling the user to obtain specific guidelines for action and increase motivation, and also making it possible to earn revenue by effectively displaying related advertisements.

[0567] "Goal data" is information that verbalizes the specific goals and dreams that the user is trying to achieve.

[0568] "Process information" refers to the specific action steps and action plans required to achieve a goal.

[0569] A "future diary entry" is a sentence created in anticipation of the future after the user has achieved their goal.

[0570] An "advertisement" is promotional information related to a user's goals or action steps.

[0571] "Visualization" refers to the presentation of information to a user in the form of images, text, or other formats.

[0572] "Natural language processing" is a technology that enables computers to understand, interpret, and generate human language.

[0573] A "database" is a software system for efficiently searching, storing, and managing large amounts of data.

[0574] The present invention is a system that helps users achieve their goals and visualizes the process, consisting of steps for receiving and analyzing goal data, generating process information and future diary entries, selecting and inserting advertisements, and displaying them to the user.

[0575] System configuration

[0576] The hardware and software used in implementing the present invention include the following:

[0577] Hardware: The smartphone used by the user.

[0578] Frontend: React Native (Mobile App Development).

[0579] Backend: Node.js and Express (server construction).

[0580] Database: MongoDB.

[0581] Natural Language Processing: OpenAI GPT-4 API.

[0582] Ad serving: Google AdMob.

[0583] Program processing

[0584] The system performs the following process:

[0585] 1. User enters goal data:

[0586] A user uses a smartphone to enter a goal into a text field within the application, for example, "I want to be able to speak English fluently."

[0587] 2. Sending target data:

[0588] The device sends the input target data to the backend Node.js server using an HTTP request. Through this communication, the target data reaches the server.

[0589] 3. Target data analysis:

[0590] The server analyzes the received goal data using OpenAI GPT-4. Based on the analysis results, it generates specific action steps to achieve the goal. For example, steps such as "study English for 30 minutes every day" or "attend an English conversation school once a week."

[0591] 4. Generate process information:

[0592] Based on the analyzed action steps, the server generates process information to provide to the user. This information is stored in a database (MongoDB).

[0593] 5. Generate future diary entries:

[0594] Using the process information, the server generates future diary entries, such as "Today, I gave a successful presentation in English, which has given me confidence."

[0595] 6. Advertisement Selection and Insertion:

[0596] The server selects relevant advertisements based on the goal data and process information. Google AdMob is used to insert advertisements for English conversation schools and English learning apps into diary entries.

[0597] 7. View future diary entries:

[0598] The server sends the generated future diary entries and advertisements to the user's device and displays them on the front end, allowing the user to visualize their future self and increase their motivation.

[0599] Specific examples

[0600] The user inputs the goal "I want to be able to speak English fluently," and the server sends the following prompt to OpenAI GPT-4 to analyze this goal.

[0601] Example prompt sentence:

[0602] “The user has a goal: ‘I want to be able to speak English fluently.’ Generate specific action steps to achieve this goal, then create a future diary entry for when the goal is achieved. Also, insert advertisements for English conversation schools or English learning apps into the diary entry.”

[0603] As a result, users can obtain specific guidelines for action and be more motivated to achieve their goals. Furthermore, the system can earn advertising revenue by effectively displaying relevant advertisements.

[0604] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[0605] Step 1:

[0606] User enters goal data:

[0607] The user turns on the smartphone and enters their goal into a text field within the application.

[0608] Input: Goal data (e.g., "I want to be able to speak English fluently")

[0609] Output: The entered target data is temporarily saved on the device.

[0610] Step 2:

[0611] Sending goal data:

[0612] The terminal transmits the input target data to the server using an HTTP request.

[0613] Input: Temporarily saved goal data

[0614] Data processing: Packaging into HTTP request format.

[0615] Output: The target data sent to the server as an HTTP request

[0616] Step 3:

[0617] Analysis of target data:

[0618] The server analyzes the received goal data and calls the OpenAI GPT-4 API to generate specific action steps.

[0619] Input: Target data received by the server

[0620] Data Computation: Use natural language processing to generate action steps to achieve goals.

[0621] Output: Behavioral step data (e.g., "Study English for 30 minutes every day," "Attend English conversation school once a week")

[0622] Step 4:

[0623] Generate process information:

[0624] The server generates process information based on the analysis results and stores it in a database.

[0625] Input: Behavioral step data

[0626] Data processing: Converting action step data into process information format

[0627] Output: Process information (e.g., "English study plan") is saved in a database

[0628] Step 5:

[0629] Generate future diary entries:

[0630] The server uses the process information to generate future diary entries, again using the OpenAI GPT-4 API.

[0631] Input: Process information

[0632] Data calculation: generating future diary entries

[0633] Output: Future diary entry (e.g., "Today, I gave a successful presentation in English, which has boosted my confidence.")

[0634] Step 6:

[0635] Ad selection and insertion:

[0636] The server uses Google AdMob to select relevant advertisements based on the target data and process information and inserts them into the generated future diary entries.

[0637] Input: Future diary entries, goal data, process information

[0638] Data processing: Selection of advertisements and insertion into diary entries

[0639] Output: Future diary entry with ad inserted

[0640] Step 7:

[0641] View future diary entries:

[0642] The server transmits the generated future diary entries and advertisements to the terminal, which displays them to the user.

[0643] Input: Future diary entry with ad inserted

[0644] Data processing: Converting data into a format that can be displayed to the user

[0645] Output: Future diary entries and advertisements visually displayed on the user's device

[0646] Furthermore, an emotion engine that estimates the user's emotion may be further combined. That is, the identification processing unit 290 may estimate the user's emotion using the emotion identification model 59, and perform identification processing using the user's emotion.

[0647] This invention relates to a system that clarifies the process for achieving a goal entered by a user and generates and displays a future diary entry after the goal is achieved. This system provides specific action steps based on the user's goal and can also generate advertising revenue by inserting relevant advertisements. Furthermore, this system incorporates an emotion engine that recognizes the user's emotions and further personalizes the goal achievement process and future diary entry based on the user's emotions.

[0648] System Configuration

[0649] 1. User input of goals

[0650] The user starts the application and enters their goals and dreams in the text field. This input information is called "goal data." The user can also input their current emotions, or the emotion engine can automatically recognize emotions.

[0651] 2. Sending goal and emotion data

[0652] The terminal receives the user's input (goal data and emotion data) and sends it to the server using a communication means such as an HTTP request.

[0653] 3. Analysis of goal and emotion data

[0654] The server receives the HTTP request, extracts the goal and emotion data from the request, and then passes the goal and emotion data to a natural language processing (NLP) module and emotion engine for data analysis.

[0655] 4. Generate process information

[0656] The server uses the NLP module and emotion engine to analyze the goal data and generate specific process information for achieving the goal (e.g., study English for 30 minutes every day, attend an English conversation school once a week). The emotion engine takes the user's emotion data into consideration and provides the optimal process information.

[0657] 5. Generating future diary entries

[0658] The server uses the process information and emotion data to generate future diary entries for when the user achieves their goal. These diary entries include the emotions and results that led to the goal achievement. The emotion engine adjusts the content according to the user's emotional state.

[0659] 6. Advertisement selection and insertion

[0660] The server selects advertisements related to the user's goal data, process information, and emotion data from the database and inserts them appropriately into the generated future diary entries.

[0661] 7. Display future diary entries

[0662] The server generates future diary entries and related advertisements and sends them to the device in JSON format. The device receives this data and displays it to the user, where they can see what they will look like after achieving their goal and see recommended advertisements.

[0663] Specific examples

[0664] For example, if a user has a goal of "becoming fluent in English," this goal data is sent to the server. At the same time, the emotion engine recognizes emotion data such as "high motivation" based on the user's input and facial recognition. The server then analyzes the goal data and emotion data using natural language processing and the emotion engine, generating process information such as "study English for 30 minutes every day," "attend an English conversation school once a week," and "practice conversation with English speakers." Based on the generated process information and "high motivation," the server then creates a future diary entry such as "Today, I successfully gave a presentation in English, which gave me confidence. I now feel like I've truly become fluent." Furthermore, it selects advertisements for English conversation schools and English learning apps and inserts them into the diary entry.

[0665] Finally, the system sends the generated future diary entry and related advertisements to the device, which then displays the diary entry to the user. This allows the user to visualize themselves as fluent English speakers in the future, motivating them to achieve their goal. The system also allows the user to earn advertising revenue by inserting relevant advertisements.

[0666] This invention provides users with concrete guidelines for their goals and can increase their motivation by visualizing the future after achievement. It also makes it possible to earn advertising revenue by effectively displaying relevant advertisements. Furthermore, by combining it with an emotion engine, it is possible to provide a personalized experience optimized for the user's emotions, further enhancing the usefulness of the system.

[0667] The processing flow will be explained below.

[0668] Step 1:

[0669] Users launch the application, enter their goals and dreams into the text field, and then select their emotion, or the emotion engine will automatically recognize emotions through facial and voice recognition.

[0670] Step 2:

[0671] The terminal receives the goal data and emotion data and sends them to the server in an HTTP POST request, which includes the user's goal data and emotion data.

[0672] Step 3:

[0673] The server receives the HTTP POST request, extracts goal and sentiment data from the request, and sends this data to the natural language processing (NLP) module and sentiment engine for analysis.

[0674] Step 4:

[0675] The server uses the NLP module to analyze the goal data using natural language processing technology. Based on the analysis results, it generates specific process information for achieving the goal (e.g., study English for 30 minutes every day, attend an English conversation school once a week).

[0676] Step 5:

[0677] The server uses an emotion engine to analyze the emotion data. Using the analysis results, the server optimizes the process information to match the user's emotions. For example, if the user's emotion data indicates that they are "highly motivated," the server generates process information that includes challenging steps.

[0678] Step 6:

[0679] The server generates future diary entries based on the integrated process information. The diary entries take into consideration the user's emotions. For example, a diary entry might say, "Today, I gave a successful presentation in English, which gave me confidence. By keeping my motivation high, I feel like I've really become fluent in English."

[0680] Step 7:

[0681] The server selects relevant advertisements from a database based on the goal data, process information, and emotion data, and inserts the most relevant advertisements into the generated future diary entries.

[0682] Step 8:

[0683] The server sends future diary entries and inserted advertisements in JSON format to the device.

[0684] Step 9:

[0685] The device parses the received JSON data and displays future diary entries and related advertisements to the user, allowing the user to see what they will look like after achieving their goal and see recommended advertisements.

[0686] Example 2

[0687] Next, a description will be given of Example 2. In the following description, the data processing device 12 will be referred to as a "server" and the smart glasses 214 will be referred to as a "terminal."

[0688] Conventional goal achievement support systems only provide specific guidelines for actions to be taken toward the goals set by the user. Furthermore, they do not take into account the user's emotional state, making it difficult to provide a personalized experience tailored to each individual user. This makes it difficult to continuously maintain user motivation, and they are unable to achieve effective goal achievement. Furthermore, they lack intelligent methods for effectively displaying advertisements, making it difficult to increase advertising revenue.

[0689] The specific processing by the specific processing unit 290 of the data processing device 12 in the second embodiment is realized by the following means.

[0690] In this invention, the server includes means for receiving goal data and emotion data entered by the user, means for analyzing the goal data and emotion data and generating process information for achieving the goal, and means for generating a future diary entry in which the goal is achieved based on the process information and emotion data. This makes it possible to provide specific and emotion-conscious process information for the goal set by the user and generate personalized future diary entries. This also makes it possible to effectively insert relevant advertisements, thereby realizing advertisement display optimized for the user's emotional state and increasing advertising revenue.

[0691] "Goal Data" is information about a particular purpose or goal that a user wishes to achieve.

[0692] "Emotion data" is information about a user's emotional state, and is obtained using text input and emotion recognition technology.

[0693] "Process information" refers to information about specific action steps and activities required for a user to achieve a goal.

[0694] A "future diary entry" is a hypothetical diary entry that describes the events and feelings that will occur when a goal is achieved in the future.

[0695] "Advertisement" is promotional information about products and services related to the user's goal data, process information, and emotion data.

[0696] A "natural language processing (NLP) module" is a software module that uses computer technology to understand and analyze human language.

[0697] An "emotion engine" is a software module that analyzes a user's emotional state and provides customized information based on the results of that analysis.

[0698] A "server" is a computer system for receiving and analyzing a user's goal and emotion data and generating process information and future diary entries.

[0699] A "terminal" is a computing device that a user uses to input goal data and emotion data and receive the results.

[0700] MODE FOR CARRYING OUT THE INVENTION

[0701] This invention is a system that aims to provide specific process information for achieving a goal set by a user and generate and display future diary entries after the goal is achieved. The system provides personalized guidelines based on the user's goals and emotional information, and displays future diary entries and related advertisements based on these guidelines.

[0702] System Configuration

[0703] 1. User input of goals

[0704] A user launches an application and inputs a goal and emotional state. This information is called "goal data" and "emotion data."

[0705] 2. Sending goal and emotion data

[0706] The terminal receives the goal data and emotion data input by the user and sends them to the server via HTTP requests.

[0707] 3. Analysis of goal and emotion data

[0708] The server analyzes the received goal data and emotion data using a natural language processing (NLP) module and emotion engine.

[0709] 4. Generate process information

[0710] Based on the analysis results, the server generates specific process information necessary for the user to achieve their goal. The emotion engine takes into account the user's emotional data and provides optimal guidelines for action.

[0711] 5. Generating future diary entries

[0712] The server uses the process information and emotion data to generate future diary entries, and the emotion engine adjusts the diary content.

[0713] 6. Advertisement selection and insertion

[0714] The server selects advertisements related to the goal data, process information, and emotion data from a database and inserts them into the generated future diary entries.

[0715] 7. Display future diary entries

[0716] The server transmits the generated future diary entries and associated advertisements to the terminal, which displays them to the user.

[0717] Hardware and software used

[0718] Hardware:

[0719] Server: A computer system for high-performance data processing

[0720] Device: A device operated by a user, such as a smartphone, tablet, or computer

[0721] software:

[0722] Natural Language Processing (NLP) Module

[0723] Emotion Engine

[0724] Communication method using HTTP protocol

[0725] Specific examples

[0726] For example, if a user has a goal of "becoming fluent in English," this goal data is sent to the server. At the same time, the emotion engine recognizes emotion data such as "high motivation" based on the user's input and facial recognition. The server analyzes the goal data and emotion data using natural language processing and the emotion engine, and generates process information such as "study English for 30 minutes every day," "attend an English conversation school once a week," and "practice conversation with English speakers."

[0727] The server then creates a future diary entry based on the generated process information and "high motivation," such as "Today, I gave a successful presentation in English, which gave me confidence. I feel like I've become truly fluent." It also selects advertisements for English conversation schools and English learning apps and inserts them into the diary entry.

[0728] Finally, the system sends the generated future diary entry and related advertisements to the device, which then displays the diary entry to the user. This allows the user to visualize themselves as fluent English speakers in the future, motivating them to achieve their goal. The system also allows the user to earn advertising revenue by inserting relevant advertisements.

[0729] Example prompt sentence:

[0730] "The future diary entry generation system recognizes that the user's goal is 'I want to be able to speak English fluently,' and that their current emotion is 'highly motivated.' Based on this information, generate a specific process, such as studying English for 30 minutes every day or attending an English conversation school once a week, and create a future diary entry that follows that process. Adjust the diary entry to include topics about successful presentations and the emotions associated with them, and insert appropriate English learning advertisements."

[0731] The flow of the identification process in the second embodiment will be described with reference to FIG.

[0732] Step 1:

[0733] The user starts the application and enters goal data (e.g., "I want to be able to speak English fluently") into the input screen. In addition, the user can enter current emotion data (e.g., "I'm highly motivated"), or the emotion engine can automatically recognize the emotion.

[0734] Input: Goal data and emotion data entered by the user.

[0735] Output: The goal data and emotion data are saved to the device.

[0736] Specific actions: Enter "I want to be able to speak English fluently" in the text field and select "High" as the emotional state. Or, use the camera to recognize the user's facial expression.

[0737] Step 2:

[0738] The terminal receives the goal data and emotion data input by the user, creates an HTTP request, and sends it to the server.

[0739] Input: The goal data and emotion data entered in step 1.

[0740] Output: An HTTP request containing goal and emotion data.

[0741] Specific operation: The device sends a "POST" request to https: / / example.com / api / goals.

[0742] Step 3:

[0743] The server extracts goal data and emotion data from the received HTTP request and passes them to the natural language processing (NLP) module and emotion engine for analysis.

[0744] Input: An HTTP request containing goal and emotion data sent from the device.

[0745] Output: Analysis results from the NLP module and the emotion engine.

[0746] Specific operation: The server extracts the data "Goal = I want to be able to speak English fluently" and "Emotion = High" and analyzes it.

[0747] Step 4:

[0748] The server generates process information necessary to achieve the user's goals based on the analysis results of the NLP module and emotion engine.

[0749] Input: Analysis results of the NLP module and emotion engine.

[0750] Output: Process information to achieve the goal.

[0751] Specific actions: Generate process information such as "study English for 30 minutes every day" or "attend an English conversation school once a week."

[0752] Step 5:

[0753] The server combines the process information and emotion data to generate future diary entries, and an emotion engine adjusts the diary content based on the user's emotions.

[0754] Input: Process information and emotion data.

[0755] Output: The user's future diary entries.

[0756] Specific action: Create a diary entry that reads, "Today, I gave a successful presentation in English and feel more confident."

[0757] Step 6:

[0758] The server selects advertisements from the database that are relevant to the user's goal data, process information, and emotion data, and inserts them into the generated future diary entries.

[0759] Input: goal data, process information, emotion data, advertising database.

[0760] Output: Future diary entry with ad inserted.

[0761] Specific actions: Select advertisements for English conversation schools and English learning apps and insert them into diary entries.

[0762] Step 7:

[0763] The server transmits the generated future diary entries and associated advertisements to the terminal, which displays them to the user.

[0764] Input: A future diary entry with an ad inserted.

[0765] Output: Future diary entries and advertisements displayed to the user.

[0766] Specific operation: The device analyzes the data received from the server and displays future diary entries and related advertisements on the screen.

[0767] (Application example 2)

[0768] Next, a description will be given of Application Example 2. In the following description, the data processing device 12 will be referred to as a "server" and the smart glasses 214 will be referred to as a "terminal."

[0769] Conventional goal management systems struggled to provide specific guidelines for users' set goals and lacked the ability to visualize the future after achievement. This made it difficult for users to maintain their motivation to achieve their goals. They also had limited means of generating revenue by effectively inserting relevant advertisements. Furthermore, they lacked a personalized approach that took user emotions into account, making it impossible to provide optimized support for individual users.

[0770] The specific processing by the specific processing unit 290 of the data processing device 12 in Application Example 2 is realized by the following means. In this invention, the server includes means for receiving goal data entered by the user, means for analyzing the goal data and providing specific guidelines for achieving the goal based on the goal data, means for generating a future diary entry in which the goal is achieved based on the guidelines, means for selecting and inserting advertisements related to the diary entry, means for displaying the diary entry and related advertisements to the user, and means for recognizing the user's emotional data and personalizing the goal-achievement process and future diary entries based on the user's emotions. This allows the user to obtain specific and personalized guidelines for achieving the goal and to increase motivation by visualizing the future after the goal is achieved. Furthermore, it is possible to provide support optimized for the user's emotions while effectively inserting relevant advertisements.

[0771] A "user" is an individual who uses the system to set goals and receive support in achieving those goals.

[0772] "Goal data" is information relating to the goals and dreams that the user wants to achieve, and is data that is entered in text format.

[0773] A "course of action" is a concrete step or action plan that a user must take to achieve their goal.

[0774] A "future diary entry" is a diary-style document that describes the future situation or state when the user achieves the goal.

[0775] "Advertisement" means information promoting goods or services related to the target data or course of action.

[0776] "Emotion data" refers to information about the user's current feelings and emotional state, and is data obtained in text format or through automatic recognition.

[0777] "Natural language processing" is a technology that enables computers to understand, analyze, and generate human language.

[0778] "Personalization" means providing content and services that are optimized to suit the characteristics and circumstances of each individual user.

[0779] A "server" is a computer system that receives, analyzes, and processes goal data and emotion data from a user.

[0780] "Database" means an information storage system that stores advertisements and other related information and that can be searched or referenced as needed.

[0781] This invention is a system that provides specific guidelines for achieving a goal set by a user and generates and displays future diary entries after the goal is achieved. This system is characterized by recognizing the user's emotional data and personalizing the guidelines and future diary entries based on that data.

[0782] System configuration

[0783] The system consists of the following main elements:

[0784] User device: A device such as a smartphone or head-mounted display (HMD) through which the user inputs their goals and views the generated future diary entries.

[0785] Server: A central system that receives, analyzes, and processes goal data and emotion data.

[0786] Database: An information storage system for storing information such as goal data, emotion data, guidelines for action, and advertisements.

[0787] Hardware used

[0788] Smartphone: A device where users can enter their goals and check their results.

[0789] Head-mounted display (HMD): A device that provides a more interactive experience.

[0790] Server: A computer system for performing natural language processing and emotion recognition.

[0791] Software used

[0792] Python: A server-side programming language.

[0793] Flask: A server-side web framework.

[0794] SpaCy: A natural language processing library.

[0795] BERT: A deep learning model for emotion recognition.

[0796] openAI GPT-3: Used as a generative AI model.

[0797] System Operation Overview

[0798] 1. Goal input: The user inputs the goal they want to achieve and their current emotions using a smartphone or HMD. The goal data and emotion data are sent to the server.

[0799] 2. Data analysis: The server uses SpaCy and BERT to analyze the goal data and sentiment data. Based on the analysis results, it generates specific action guidelines.

[0800] 3. Generating future diary entries: Based on the guidelines, openAI GPT-3 is used to generate future diary entries when the user achieves their goal.

[0801] 4. Advertisement selection and insertion: The server selects advertisements from the database that are relevant to the generated future diary entries and inserts them appropriately.

[0802] 5. Displaying the results: The server sends the generated future diary entries and advertisements to the user's smartphone or HMD for display.

[0803] Specific examples

[0804] For example, if a user has a goal of "becoming fluent in English," this goal data is sent to the server. At the same time, the emotion engine recognizes emotion data such as "high motivation" based on the user's input and facial recognition. The server analyzes the goal data and emotion data using natural language processing and the emotion engine, and generates process information such as "study English for 30 minutes every day," "attend an English conversation school once a week," and "practice conversation with English speakers." Based on the generated process information and "high motivation," the server then creates a future diary entry such as, "Today, I successfully gave a presentation in English, which gave me confidence. I now feel like I've truly become fluent." Furthermore, it selects advertisements for English conversation schools and English learning apps and inserts them into the diary entry.

[0805] Example prompt sentence:

[0806] input:

[0807] Goal: To be able to speak English fluently

[0808] Emotion: Enthusiastic

[0809] output:

[0810] Future Diary:

[0811] "Today, May 10, 2024, I finally gave a presentation in English, and it was a great success. I received a lot of gratitude from many people, and it gave me a lot of confidence. I will continue to study English and aim to improve even more."

[0812] Recommended ads:

[0813] 1. English Conversation School A Course

[0814] 2. Learning App B's Premium Plan

[0815] 3. Pronunciation Correction Service C

[0816] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[0817] Step 1:

[0818] Entering and receiving goal and emotion data

[0819] The user inputs their goals and current emotions using a smartphone or head-mounted display (HMD). The input data is called "goal data" and "emotion data." The device then sends this data to the server.

[0820] Input: Goal data, emotion data

[0821] Data processing: Obtain goals and emotions in text format and convert them to JSON format

[0822] Output: Goal and emotion data in JSON format

[0823] Step 2:

[0824] Receiving and analyzing goal and emotion data

[0825] The server receives the goal data and emotion data sent from the device. It then analyzes the goal data using natural language processing (SpaCy) and the emotion data using the BERT model. This provides the basic data for generating the course of action needed to achieve the goal.

[0826] Input: JSON format goal data, emotion data

[0827] Data processing: Analyze target data using natural language processing, analyze emotional data using emotion recognition models

[0828] Output: Analysis results (analyzed targets, emotion recognition results)

[0829] Step 3:

[0830] Generating guidelines for action

[0831] The server uses the data analyzed in the previous step to generate specific action plans, feeding the analysis results into OpenAI's GPT-3 generative model to generate specific steps for the user to achieve their goal.

[0832] Input: Analysis results (analyzed target, emotion recognition results)

[0833] Data processing: Use the analysis results as prompts to input into the GPT-3 generative model

[0834] Output: Action guidelines (study English for 30 minutes every day, attend English conversation school once a week, etc.)

[0835] Step 4:

[0836] Generate future diary entries

[0837] The server uses the generated action plan and emotion data to generate future diary entries, again using GPT-3 to create a diary that details the future situation and emotions when the user achieves their goal.

[0838] Input: Action guidelines, emotional data

[0839] Data manipulation: Using behavioral and emotional data as prompts to feed the GPT-3 generative model

[0840] Output: Future diary entry

[0841] Step 5:

[0842] Ad selection and insertion

[0843] The server selects relevant advertisements from a database based on the generated future diary entry and the course of action, and the selected advertisements are inserted appropriately into the future diary entry.

[0844] Input: Future diary entry, course of action

[0845] Data processing: Search and select relevant advertisements from the database and insert them into the diary entry

[0846] Output: Future diary entry with advertisements

[0847] Step 6:

[0848] Displaying the results

[0849] The server sends the generated future diary entries and advertisements in JSON format to the user's device, which receives this data and displays it to the user.

[0850] Input: Future diary entry with ads

[0851] Data processing: Convert to JSON format and send to the terminal

[0852] Output: Future diary entries and advertisements displayed on the user's device

[0853] Specific examples (prompt sentence examples):

[0854] input:

[0855] Goal: To be able to speak English fluently

[0856] Emotion: Enthusiastic

[0857] output:

[0858] Future Diary:

[0859] "Today, May 10, 2024, I finally gave a presentation in English, and it was a great success. I received a lot of gratitude from many people, and it gave me a lot of confidence. I will continue to study English and aim to improve even more."

[0860] Recommended ads:

[0861] 1. English Conversation School A Course

[0862] 2. Learning App B's Premium Plan

[0863] 3. Pronunciation Correction Service C

[0864] The specific processing unit 290 transmits the result of the specific processing to the smart glasses 214. In the smart glasses 214, the control unit 46A causes the speaker 240 to output the result of the specific processing. The microphone 238 acquires audio indicating a user input regarding the result of the specific processing. The control unit 46A transmits audio data indicating the user input acquired by the microphone 238 to the data processing device 12. In the data processing device 12, the specific processing unit 290 acquires the audio data.

[0865] The data generation model 58 is a so-called generative AI (Artificial Intelligence). An example of the data generation model 58 is ChatGPT (Internet Search<URL: https: / / openai.com / blog / chatgpt> ), Gemini (Internet search <url: https: gemini.google.com ?hl="ja">) and other generation AIs. The data generation model 58 is obtained by performing deep learning on a neural network. A prompt including an instruction is input to the data generation model 58, and inference data such as voice data indicating voice, text data indicating text, and image data indicating an image is also input. The data generation model 58 performs inference on the input inference data in accordance with the instruction indicated by the prompt, and outputs the inference result in a data format such as voice data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization.

[0866] In the above embodiment, an example in which the specific processing is performed by the data processing device 12 has been given, but the technology of the present disclosure is not limited to this, and the specific processing may be performed by the smart glasses 214.

[0867] [Third embodiment]

[0868] FIG. 5 shows an example of the configuration of a data processing system 310 according to the third embodiment.

[0869] 5, the data processing system 310 includes the data processing device 12 and a headset terminal 314. An example of the data processing device 12 is a server.

[0870] The data processing device 12 includes a computer 22, a database 24, and a communication I / F 26. The computer 22 is an example of a "computer" according to the technology of the present disclosure. The computer 22 includes a processor 28, a RAM 30, and a storage 32. The processor 28, the RAM 30, and the storage 32 are connected to a bus 34. The database 24 and the communication I / F 26 are also connected to the bus 34. The communication I / F 26 is connected to a network 54. Examples of the network 54 include a WAN (Wide Area Network) and / or a LAN (Local Area Network).

[0871] The headset type terminal 314 includes a computer 36, a microphone 238, a speaker 240, a camera 42, a communication I / F 44, and a display 343. The computer 36 includes a processor 46, a RAM 48, and a storage 50. The processor 46, the RAM 48, and the storage 50 are connected to a bus 52. The microphone 238, the speaker 240, the camera 42, and the display 343 are also connected to the bus 52.

[0872] The microphone 238 receives instructions and the like from the user 20 by receiving voice uttered by the user 20. The microphone 238 captures the voice uttered by the user 20, converts the captured voice into audio data, and outputs it to the processor 46. The speaker 240 outputs audio in accordance with instructions from the processor 46.

[0873] Camera 42 is a small digital camera equipped with an optical system including a lens, aperture, and shutter, and an imaging element such as a CMOS (Complementary Metal-Oxide-Semiconductor) image sensor or a CCD (Charge Coupled Device) image sensor, and captures images of the surroundings of user 20 (for example, an imaging range defined by an angle of view equivalent to the field of vision of a typical healthy person).

[0874] The communication I / F 44 is connected to a network 54. The communication I / Fs 44 and 26 are responsible for the exchange of various information between the processor 46 and the processor 28 via the network 54. The exchange of various information between the processor 46 and the processor 28 using the communication I / Fs 44 and 26 is carried out in a secure state.

[0875] Fig. 6 shows an example of the main functions of the data processing device 12 and the headset type terminal 314. As shown in Fig. 6, in the data processing device 12, a specific process is performed by the processor 28. A specific process program 56 is stored in the storage 32.

[0876] The specific processing program 56 is an example of a "program" according to the technology of the present disclosure. The processor 28 reads the specific processing program 56 from the storage 32 and executes the read specific processing program 56 on the RAM 30. The specific processing is realized by the processor 28 operating as a specific processing unit 290 in accordance with the specific processing program 56 executed on the RAM 30.

[0877] The storage 32 stores a data generation model 58 and an emotion identification model 59. The data generation model 58 and the emotion identification model 59 are used by the identification processing unit 290.

[0878] In the headset type terminal 314, a reception output process is performed by the processor 46. A reception output program 60 is stored in the storage 50. The processor 46 reads the reception output program 60 from the storage 50 and executes the read reception output program 60 on the RAM 48. The reception output process is realized by the processor 46 operating as the control unit 46A in accordance with the reception output program 60 executed on the RAM 48.

[0879] Next, a description will be given of the identification process performed by the identification processing unit 290 of the data processing device 12. In the following description, the data processing device 12 will be referred to as the "server" and the headset type terminal 314 will be referred to as the "terminal."

[0880] The present invention relates to a system that clarifies the process for achieving a goal entered by a user and generates and displays a future diary after the goal is achieved. This system provides specific action steps based on the user's goal and can also earn advertising revenue by inserting related advertisements.

[0881] System Configuration

[0882] 1. User input of goals

[0883] A user starts the application and enters the goals and dreams they want to achieve into the text fields. This input information is called "goal data."

[0884] 2. Sending goal data

[0885] The terminal receives the user's input and sends it to the server using a communication method such as an HTTP request.

[0886] 3. Analysis of target data

[0887] The server analyzes the received goal data and generates specific process information for achieving the goal. Natural language processing technology can be used for the analysis.

[0888] 4. Generate process information

[0889] Based on the analysis results, the server generates specific steps and action plans for the user to achieve their goals. This information is called "process information."

[0890] 5. Generating future diary entries

[0891] The server uses the process information to generate future diary entries for when the user achieves the goal, including the emotions and achievements that led to the goal achievement.

[0892] 6. Advertisement selection and insertion

[0893] The server selects advertisements from a database that are relevant to the user's goals and process information, and inserts them appropriately into the generated future diary entries.

[0894] 7. Display future diary entries

[0895] The server sends the generated future diary entries and related advertisements to the device, which receives the data and displays it to the user, where the user can see what they will look like after achieving their goal and see recommended advertisements.

[0896] Specific examples

[0897] For example, if a user has a goal of "becoming fluent in English," this goal data is sent to the server. The server analyzes this goal data using natural language processing technology and generates process information such as "study English for 30 minutes every day," "attend an English conversation school once a week," and "practice conversation with English speakers." Based on the generated process information, the server then creates a future diary entry such as "Today, I successfully gave a presentation in English, which gave me confidence. I now feel like I've truly become fluent in English." The server then selects advertisements for English conversation schools and English learning apps and inserts them into the diary entry.

[0898] Finally, the system sends the generated future diary entry and related advertisements to the device, which then displays the diary entry to the user. This allows the user to visualize themselves as fluent English speakers in the future, motivating them to achieve their goal. The system also allows the user to earn advertising revenue by inserting relevant advertisements.

[0899] This invention provides users with specific guidelines for action to achieve their goals, and can increase their motivation by visualizing the future after achievement. In addition, it is possible to earn advertising revenue by effectively displaying related advertisements.

[0900] The processing flow will be explained below.

[0901] Step 1:

[0902] A user starts the application, enters their goals in the text field for entering goals and dreams, and then clicks the submit button, which captures the input data on the device.

[0903] Step 2:

[0904] The terminal transmits the acquired user goal data to the server as an HTTP POST request, which includes the goal data.

[0905] Step 3:

[0906] The server receives the HTTP POST request, extracts the target data from the request, and then passes this target data to a natural language processing (NLP) module to parse the data.

[0907] Step 4:

[0908] The server uses an NLP module to analyze the goal data and generate specific process information for achieving the goal (e.g., study English for 30 minutes every day, attend an English conversation school once a week).

[0909] Step 5:

[0910] Based on the process information generated by the server, a future diary entry is generated in which the user achieves their goal, for example, "Today, I gave a successful presentation in English, and now I feel more confident."

[0911] Step 6:

[0912] The server selects advertisements from a database that are relevant to the target data and process information, and inserts the most relevant advertisements into the generated future diary entries.

[0913] Step 7:

[0914] The server sends future diary entries and inserted advertisements in JSON format to the device.

[0915] Step 8:

[0916] The device parses the received JSON data and displays it to the user, allowing them to view future diary entries and related advertisements.

[0917] Example 1

[0918] Next, a description will be given of Example 1. In the following description, the data processing device 12 will be referred to as a "server" and the headset type terminal 314 will be referred to as a "terminal."

[0919] Conventional systems lacked the means to provide users with a concrete process for achieving their goals or the means to visualize the future after achieving them. As a result, users had difficulty obtaining concrete guidelines for achieving their goals, leading to problems with their motivation. Furthermore, these systems lacked an effective way to generate advertising revenue, making them unsustainable as businesses.

[0920] The specific processing by the specific processing unit 290 of the data processing device 12 in the first embodiment is realized by the following means.

[0921] In this invention, the server includes means for receiving goal data entered by the user, means for analyzing the goal data and generating process information for achieving the goal, means for generating a future diary entry in which the goal is achieved based on the process information, means for selecting and inserting advertisements related to the generated future diary entry, and means for displaying the future diary entry to the user. This provides the user with a concrete guide to action and increases their motivation by visualizing their future after achieving their goal. Furthermore, by effectively displaying relevant advertisements, the system can earn advertising revenue, improving business sustainability.

[0922] "Goal data" is information that a user enters into the system that describes the goals or dreams they wish to achieve.

[0923] "Process information" is a set of specific steps and guidelines for achieving a goal, which is generated by the server by analyzing the goal data.

[0924] A "future diary entry" is diary-style information that is generated by the server based on process information and describes the future situation and emotions of the user when they have achieved their goal.

[0925] A "generative AI model" is an artificial intelligence model that uses natural language processing technology to analyze target data and generate process information.

[0926] "Advertisements" are information introducing products or services related to the user's goals or process information, and are inserted into future diary entries by the server.

[0927] "Server" is a collection of hardware and software that receives and analyzes user targeting data, processes information and generates future diary entries, and selects and displays advertisements.

[0928] A "terminal" is a device through which a user inputs goal data and receives and displays future diary entries and advertisements sent from the server, and includes personal computers and smartphones.

[0929] The present invention relates to a system that provides a specific process for achieving a goal entered by a user and generates and displays future diary entries after the goal is achieved. This system provides a course of action for the user and can earn advertising revenue by inserting relevant advertisements. A specific embodiment of this system is described below.

[0930] System Configuration

[0931] 1. User input of goals

[0932] The user starts the application and inputs their goal. This goal is saved on the device as "goal data." For example, the user might input, "I want to be able to speak English fluently."

[0933] 2. Sending goal data

[0934] The device retrieves the target data and sends it to the server via an HTTP request, including metadata such as the user ID.

[0935] 3. Analysis of target data

[0936] The server analyzes the received goal data. This analysis uses natural language processing technology. Specifically, a generative AI model (e.g., GPT-3) is used, and a prompt such as "My goal is to become fluent in English. Please tell me the specific steps to achieve this goal" is sent to the generative AI model.

[0937] 4. Generate process information

[0938] The server generates specific process information based on the information returned by the AI ​​model. Examples include steps such as "study English for 30 minutes every day," "attend an English conversation school once a week," and "practice conversation with English speakers."

[0939] 5. Generating future diary entries

[0940] Based on the process information, the server generates a future diary entry for when the user has achieved their goal. For example, a diary entry with the content "Today, I gave a successful presentation in English, which gave me confidence. I feel like I can really speak fluently now."

[0941] 6. Advertisement selection and insertion

[0942] The server selects advertisements related to the user's process information from the database and inserts them into the generated future diary entries. For example, advertisements related to English conversation schools or English learning apps are selected and placed in the diary entries.

[0943] 7. Display future diary entries

[0944] The server generates future diary entries and sends advertisements to the device, which receives them and displays them on the user's screen. The user can see what they will look like after achieving their goal and see recommended advertisements.

[0945] Hardware and Software Configuration

[0946] Server: A cloud server with a powerful processor and a large amount of memory.

[0947] Device: The computer or smartphone used by the user.

[0948] software:

[0949] Web or mobile applications (user interface portion)

[0950] Server-side programs (using Python or Node.js)

[0951] Database (MySQL or MongoDB)

[0952] Natural language processing engines (generative AI models such as GPT-3)

[0953] Specific examples

[0954] The user enters their goal, such as "I want to be able to speak English fluently," into the application, and the device sends the goal data to the server. The server then sends the goal data to a generative AI model to obtain steps to achieve the goal. Based on this, the server generates process information, such as "study English for 30 minutes every day" or "attend an English conversation school once a week." The server then creates future diary entries based on these steps and inserts advertisements for English conversation schools and English learning apps. The server then sends these future diary entries and related advertisements to the user's device, which displays them. Through the future diary, the user can visualize themselves speaking English fluently, increasing their motivation to achieve their goal. The system also earns advertising revenue, improving the sustainability of its business.

[0955] The flow of the identification process in the first embodiment will be described with reference to FIG.

[0956] Step 1:

[0957] The user starts the application and enters their goal. They enter their goal (e.g., "I want to be able to speak English fluently") in the input field and press the submit button. This generates the goal data.

[0958] Input: User-entered goal data

[0959] Output: Goal data saved on the device

[0960] Step 2:

[0961] The device acquires the goal data entered by the user and sends an HTTP POST request to the server. The request body includes the goal data and metadata such as the user ID.

[0962] Input: Goal data stored on the device

[0963] Output: HTTP request sent to the server

[0964] Step 3:

[0965] The server receives the HTTP request, analyzes the target data, and uses natural language processing techniques to send a prompt to the generative AI model: "My goal is to become fluent in English. Please tell me the specific steps I need to take to achieve this goal."

[0966] Input: Target data received by the server

[0967] Output: The prompt sent to the generative AI model

[0968] Step 4:

[0969] The generative AI model generates specific steps (process information) based on the prompt and returns them to the server. Examples include "Study English for 30 minutes every day," "Attend an English conversation school once a week," and "Practice conversation with English speakers."

[0970] Input: prompt statement

[0971] Output: Process information

[0972] Step 5:

[0973] The server generates a future diary entry for after the goal is achieved based on the generated process information. For example, a diary entry with the content "Today, I successfully gave a presentation in English, which gave me confidence. I feel like I can really speak fluently now."

[0974] Input: Process information

[0975] Output: Future diary entry

[0976] Step 6:

[0977] The server selects advertisements related to the user's process information from the database and inserts them into future diary entries. For example, advertisements for English conversation schools or English learning apps are inserted.

[0978] Input: Future diary entries and process information

[0979] Output: Future diary entry with ad inserted

[0980] Step 7:

[0981] The server sends the generated future diary entries and advertisements to the device, which receives them and displays them on the user's screen. The user can then see what their future self will look like after achieving their goal and related advertisements.

[0982] Input: Future diary entry with ad inserted

[0983] Output: Future diary entries and advertisements displayed on the user's device

[0984] (Application example 1)

[0985] Next, a description will be given of Application Example 1. In the following description, the data processing device 12 will be referred to as a "server" and the headset type terminal 314 will be referred to as a "terminal."

[0986] Conventional goal achievement support systems have had problems in that it is difficult for users to intuitively grasp the specific action steps to achieve their goals, making it difficult to maintain motivation. Furthermore, the targeting of goal-related advertisements is insufficient, making it difficult to display advertisements effectively. Furthermore, the motivation-boosting effect of visualizing one's future self is not fully utilized.

[0987] The specific processing by the specific processing unit 290 of the data processing device 12 in the application example 1 is realized by the following means.

[0988] In this invention, the server includes means for analyzing the goal entered by the user and providing specific action steps for achieving the goal, means for adding advertisements to future diary entries after the goal is achieved, and means for visualizing the diary entries and advertisements to the user, thereby enabling the user to obtain specific guidelines for action and increase motivation, and also making it possible to earn revenue by effectively displaying related advertisements.

[0989] "Goal data" is information that verbalizes the specific goals and dreams that the user is trying to achieve.

[0990] "Process information" refers to the specific action steps and action plans required to achieve a goal.

[0991] A "future diary entry" is a sentence created in anticipation of the future after the user has achieved their goal.

[0992] An "advertisement" is promotional information related to a user's goals or action steps.

[0993] "Visualization" refers to the presentation of information to a user in the form of images, text, or other formats.

[0994] "Natural language processing" is a technology that enables computers to understand, interpret, and generate human language.

[0995] A "database" is a software system for efficiently searching, storing, and managing large amounts of data.

[0996] The present invention is a system that helps users achieve their goals and visualizes the process, consisting of steps for receiving and analyzing goal data, generating process information and future diary entries, selecting and inserting advertisements, and displaying them to the user.

[0997] System configuration

[0998] The hardware and software used in implementing the present invention include the following:

[0999] Hardware: The smartphone used by the user.

[1000] Frontend: React Native (Mobile App Development).

[1001] Backend: Node.js and Express (server construction).

[1002] Database: MongoDB.

[1003] Natural Language Processing: OpenAI GPT-4 API.

[1004] Ad serving: Google AdMob.

[1005] Program processing

[1006] The system performs the following process:

[1007] 1. User enters goal data:

[1008] A user uses a smartphone to enter a goal into a text field within the application, for example, "I want to be able to speak English fluently."

[1009] 2. Sending target data:

[1010] The device sends the input target data to the backend Node.js server using an HTTP request. Through this communication, the target data reaches the server.

[1011] 3. Target data analysis:

[1012] The server analyzes the received goal data using OpenAI GPT-4. Based on the analysis results, it generates specific action steps to achieve the goal. For example, steps such as "study English for 30 minutes every day" or "attend an English conversation school once a week."

[1013] 4. Generate process information:

[1014] Based on the analyzed action steps, the server generates process information to provide to the user. This information is stored in a database (MongoDB).

[1015] 5. Generate future diary entries:

[1016] Using the process information, the server generates future diary entries, such as "Today, I gave a successful presentation in English, which has given me confidence."

[1017] 6. Advertisement Selection and Insertion:

[1018] The server selects relevant advertisements based on the goal data and process information. Google AdMob is used to insert advertisements for English conversation schools and English learning apps into diary entries.

[1019] 7. View future diary entries:

[1020] The server sends the generated future diary entries and advertisements to the user's device and displays them on the front end, allowing the user to visualize their future self and increase their motivation.

[1021] Specific examples

[1022] The user inputs the goal "I want to be able to speak English fluently," and the server sends the following prompt to OpenAI GPT-4 to analyze this goal.

[1023] Example prompt sentence:

[1024] “The user has a goal: ‘I want to be able to speak English fluently.’ Generate specific action steps to achieve this goal, then create a future diary entry for when the goal is achieved. Also, insert advertisements for English conversation schools or English learning apps into the diary entry.”

[1025] As a result, users can obtain specific guidelines for action and be more motivated to achieve their goals. Furthermore, the system can earn advertising revenue by effectively displaying relevant advertisements.

[1026] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[1027] Step 1:

[1028] User enters goal data:

[1029] The user turns on the smartphone and enters their goal into a text field within the application.

[1030] Input: Goal data (e.g., "I want to be able to speak English fluently")

[1031] Output: The entered target data is temporarily saved on the device.

[1032] Step 2:

[1033] Sending goal data:

[1034] The terminal transmits the input target data to the server using an HTTP request.

[1035] Input: Temporarily saved goal data

[1036] Data processing: Packaging into HTTP request format.

[1037] Output: The target data sent to the server as an HTTP request

[1038] Step 3:

[1039] Analysis of target data:

[1040] The server analyzes the received goal data and calls the OpenAI GPT-4 API to generate specific action steps.

[1041] Input: Target data received by the server

[1042] Data Computation: Use natural language processing to generate action steps to achieve goals.

[1043] Output: Behavioral step data (e.g., "Study English for 30 minutes every day," "Attend English conversation school once a week")

[1044] Step 4:

[1045] Generate process information:

[1046] The server generates process information based on the analysis results and stores it in a database.

[1047] Input: Behavioral step data

[1048] Data processing: Converting action step data into process information format

[1049] Output: Process information (e.g., "English study plan") is saved in a database

[1050] Step 5:

[1051] Generate future diary entries:

[1052] The server uses the process information to generate future diary entries, again using the OpenAI GPT-4 API.

[1053] Input: Process information

[1054] Data calculation: generating future diary entries

[1055] Output: Future diary entry (e.g., "Today, I gave a successful presentation in English, which has boosted my confidence.")

[1056] Step 6:

[1057] Ad selection and insertion:

[1058] The server uses Google AdMob to select relevant advertisements based on the target data and process information and inserts them into the generated future diary entries.

[1059] Input: Future diary entries, goal data, process information

[1060] Data processing: Selection of advertisements and insertion into diary entries

[1061] Output: Future diary entry with ad inserted

[1062] Step 7:

[1063] View future diary entries:

[1064] The server transmits the generated future diary entries and advertisements to the terminal, which displays them to the user.

[1065] Input: Future diary entry with ad inserted

[1066] Data processing: Converting data into a format that can be displayed to the user

[1067] Output: Future diary entries and advertisements visually displayed on the user's device

[1068] Furthermore, an emotion engine that estimates the user's emotion may be further combined. That is, the identification processing unit 290 may estimate the user's emotion using the emotion identification model 59, and perform identification processing using the user's emotion.

[1069] This invention relates to a system that clarifies the process for achieving a goal entered by a user and generates and displays a future diary entry after the goal is achieved. This system provides specific action steps based on the user's goal and can also generate advertising revenue by inserting relevant advertisements. Furthermore, this system incorporates an emotion engine that recognizes the user's emotions and further personalizes the goal achievement process and future diary entry based on the user's emotions.

[1070] System Configuration

[1071] 1. User input of goals

[1072] The user starts the application and enters their goals and dreams in the text field. This input information is called "goal data." The user can also input their current emotions, or the emotion engine can automatically recognize emotions.

[1073] 2. Sending goal and emotion data

[1074] The terminal receives the user's input (goal data and emotion data) and sends it to the server using a communication means such as an HTTP request.

[1075] 3. Analysis of goal and emotion data

[1076] The server receives the HTTP request, extracts the goal and emotion data from the request, and then passes the goal and emotion data to a natural language processing (NLP) module and emotion engine for data analysis.

[1077] 4. Generate process information

[1078] The server uses the NLP module and emotion engine to analyze the goal data and generate specific process information for achieving the goal (e.g., study English for 30 minutes every day, attend an English conversation school once a week). The emotion engine takes the user's emotion data into consideration and provides the optimal process information.

[1079] 5. Generating future diary entries

[1080] The server uses the process information and emotion data to generate future diary entries for when the user achieves their goal. These diary entries include the emotions and results that led to the goal achievement. The emotion engine adjusts the content according to the user's emotional state.

[1081] 6. Advertisement selection and insertion

[1082] The server selects advertisements related to the user's goal data, process information, and emotion data from the database and inserts them appropriately into the generated future diary entries.

[1083] 7. Display future diary entries

[1084] The server generates future diary entries and related advertisements and sends them to the device in JSON format. The device receives this data and displays it to the user, where they can see what they will look like after achieving their goal and see recommended advertisements.

[1085] Specific examples

[1086] For example, if a user has a goal of "becoming fluent in English," this goal data is sent to the server. At the same time, the emotion engine recognizes emotion data such as "high motivation" based on the user's input and facial recognition. The server then analyzes the goal data and emotion data using natural language processing and the emotion engine, generating process information such as "study English for 30 minutes every day," "attend an English conversation school once a week," and "practice conversation with English speakers." Based on the generated process information and "high motivation," the server then creates a future diary entry such as "Today, I successfully gave a presentation in English, which gave me confidence. I now feel like I've truly become fluent." Furthermore, it selects advertisements for English conversation schools and English learning apps and inserts them into the diary entry.

[1087] Finally, the system sends the generated future diary entry and related advertisements to the device, which then displays the diary entry to the user. This allows the user to visualize themselves as fluent English speakers in the future, motivating them to achieve their goal. The system also allows the user to earn advertising revenue by inserting relevant advertisements.

[1088] This invention provides users with concrete guidelines for their goals and can increase their motivation by visualizing the future after achievement. It also makes it possible to earn advertising revenue by effectively displaying relevant advertisements. Furthermore, by combining it with an emotion engine, it is possible to provide a personalized experience optimized for the user's emotions, further enhancing the usefulness of the system.

[1089] The processing flow will be explained below.

[1090] Step 1:

[1091] Users launch the application, enter their goals and dreams into the text field, and then select their emotion, or the emotion engine will automatically recognize emotions through facial and voice recognition.

[1092] Step 2:

[1093] The terminal receives the goal data and emotion data and sends them to the server in an HTTP POST request, which includes the user's goal data and emotion data.

[1094] Step 3:

[1095] The server receives the HTTP POST request, extracts goal and sentiment data from the request, and sends this data to the natural language processing (NLP) module and sentiment engine for analysis.

[1096] Step 4:

[1097] The server uses the NLP module to analyze the goal data using natural language processing technology. Based on the analysis results, it generates specific process information for achieving the goal (e.g., study English for 30 minutes every day, attend an English conversation school once a week).

[1098] Step 5:

[1099] The server uses an emotion engine to analyze the emotion data. Using the analysis results, the server optimizes the process information to match the user's emotions. For example, if the user's emotion data indicates that they are "highly motivated," the server generates process information that includes challenging steps.

[1100] Step 6:

[1101] The server generates future diary entries based on the integrated process information. The diary entries take into consideration the user's emotions. For example, a diary entry might say, "Today, I gave a successful presentation in English, which gave me confidence. By keeping my motivation high, I feel like I've really become fluent in English."

[1102] Step 7:

[1103] The server selects relevant advertisements from a database based on the goal data, process information, and emotion data, and inserts the most relevant advertisements into the generated future diary entries.

[1104] Step 8:

[1105] The server sends future diary entries and inserted advertisements in JSON format to the device.

[1106] Step 9:

[1107] The device parses the received JSON data and displays future diary entries and related advertisements to the user, allowing the user to see what they will look like after achieving their goal and see recommended advertisements.

[1108] Example 2

[1109] Next, a description will be given of Example 2. In the following description, the data processing device 12 will be referred to as a "server" and the headset type terminal 314 will be referred to as a "terminal."

[1110] Conventional goal achievement support systems only provide specific guidelines for actions to be taken toward the goals set by the user. Furthermore, they do not take into account the user's emotional state, making it difficult to provide a personalized experience tailored to each individual user. This makes it difficult to continuously maintain user motivation, and they are unable to achieve effective goal achievement. Furthermore, they lack intelligent methods for effectively displaying advertisements, making it difficult to increase advertising revenue.

[1111] The specific processing by the specific processing unit 290 of the data processing device 12 in the second embodiment is realized by the following means.

[1112] In this invention, the server includes means for receiving goal data and emotion data entered by the user, means for analyzing the goal data and emotion data and generating process information for achieving the goal, and means for generating a future diary entry in which the goal is achieved based on the process information and emotion data. This makes it possible to provide specific and emotion-conscious process information for the goal set by the user and generate personalized future diary entries. This also makes it possible to effectively insert relevant advertisements, thereby realizing advertisement display optimized for the user's emotional state and increasing advertising revenue.

[1113] "Goal Data" is information about a particular purpose or goal that a user wishes to achieve.

[1114] "Emotion data" is information about a user's emotional state, and is obtained using text input and emotion recognition technology.

[1115] "Process information" refers to information about specific action steps and activities required for a user to achieve a goal.

[1116] A "future diary entry" is a hypothetical diary entry that describes the events and feelings that will occur when a goal is achieved in the future.

[1117] "Advertisement" is promotional information about products and services related to the user's goal data, process information, and emotion data.

[1118] A "natural language processing (NLP) module" is a software module that uses computer technology to understand and analyze human language.

[1119] An "emotion engine" is a software module that analyzes a user's emotional state and provides customized information based on the results of that analysis.

[1120] A "server" is a computer system for receiving and analyzing a user's goal and emotion data and generating process information and future diary entries.

[1121] A "terminal" is a computing device that a user uses to input goal data and emotion data and receive the results.

[1122] MODE FOR CARRYING OUT THE INVENTION

[1123] This invention is a system that aims to provide specific process information for achieving a goal set by a user and generate and display future diary entries after the goal is achieved. The system provides personalized guidelines based on the user's goals and emotional information, and displays future diary entries and related advertisements based on these guidelines.

[1124] System Configuration

[1125] 1. User input of goals

[1126] A user launches an application and inputs a goal and emotional state. This information is called "goal data" and "emotion data."

[1127] 2. Sending goal and emotion data

[1128] The terminal receives the goal data and emotion data input by the user and sends them to the server via HTTP requests.

[1129] 3. Analysis of goal and emotion data

[1130] The server analyzes the received goal data and emotion data using a natural language processing (NLP) module and emotion engine.

[1131] 4. Generate process information

[1132] Based on the analysis results, the server generates specific process information necessary for the user to achieve their goal. The emotion engine takes into account the user's emotional data and provides optimal guidelines for action.

[1133] 5. Generating future diary entries

[1134] The server uses the process information and emotion data to generate future diary entries, and the emotion engine adjusts the diary content.

[1135] 6. Advertisement selection and insertion

[1136] The server selects advertisements related to the goal data, process information, and emotion data from a database and inserts them into the generated future diary entries.

[1137] 7. Display future diary entries

[1138] The server transmits the generated future diary entries and associated advertisements to the terminal, which displays them to the user.

[1139] Hardware and software used

[1140] Hardware:

[1141] Server: A computer system for high-performance data processing

[1142] Device: A device operated by a user, such as a smartphone, tablet, or computer

[1143] software:

[1144] Natural Language Processing (NLP) Module

[1145] Emotion Engine

[1146] Communication method using HTTP protocol

[1147] Specific examples

[1148] For example, if a user has a goal of "becoming fluent in English," this goal data is sent to the server. At the same time, the emotion engine recognizes emotion data such as "high motivation" based on the user's input and facial recognition. The server analyzes the goal data and emotion data using natural language processing and the emotion engine, and generates process information such as "study English for 30 minutes every day," "attend an English conversation school once a week," and "practice conversation with English speakers."

[1149] The server then creates a future diary entry based on the generated process information and "high motivation," such as "Today, I gave a successful presentation in English, which gave me confidence. I feel like I've become truly fluent." It also selects advertisements for English conversation schools and English learning apps and inserts them into the diary entry.

[1150] Finally, the system sends the generated future diary entry and related advertisements to the device, which then displays the diary entry to the user. This allows the user to visualize themselves as fluent English speakers in the future, motivating them to achieve their goal. The system also allows the user to earn advertising revenue by inserting relevant advertisements.

[1151] Example prompt sentence:

[1152] "The future diary entry generation system recognizes that the user's goal is 'I want to be able to speak English fluently,' and that their current emotion is 'highly motivated.' Based on this information, generate a specific process, such as studying English for 30 minutes every day or attending an English conversation school once a week, and create a future diary entry that follows that process. Adjust the diary entry to include topics about successful presentations and the emotions associated with them, and insert appropriate English learning advertisements."

[1153] The flow of the identification process in the second embodiment will be described with reference to FIG.

[1154] Step 1:

[1155] The user starts the application and enters goal data (e.g., "I want to be able to speak English fluently") into the input screen. In addition, the user can enter current emotion data (e.g., "I'm highly motivated"), or the emotion engine can automatically recognize the emotion.

[1156] Input: Goal data and emotion data entered by the user.

[1157] Output: The goal data and emotion data are saved to the device.

[1158] Specific actions: Enter "I want to be able to speak English fluently" in the text field and select "High" as the emotional state. Or, use the camera to recognize the user's facial expression.

[1159] Step 2:

[1160] The terminal receives the goal data and emotion data input by the user, creates an HTTP request, and sends it to the server.

[1161] Input: The goal data and emotion data entered in step 1.

[1162] Output: An HTTP request containing goal and emotion data.

[1163] Specific operation: The device sends a "POST" request to https: / / example.com / api / goals.

[1164] Step 3:

[1165] The server extracts goal data and emotion data from the received HTTP request and passes them to the natural language processing (NLP) module and emotion engine for analysis.

[1166] Input: An HTTP request containing goal and emotion data sent from the device.

[1167] Output: Analysis results from the NLP module and the emotion engine.

[1168] Specific operation: The server extracts the data "Goal = I want to be able to speak English fluently" and "Emotion = High" and analyzes it.

[1169] Step 4:

[1170] The server generates process information necessary to achieve the user's goals based on the analysis results of the NLP module and emotion engine.

[1171] Input: Analysis results of the NLP module and emotion engine.

[1172] Output: Process information to achieve the goal.

[1173] Specific actions: Generate process information such as "study English for 30 minutes every day" or "attend an English conversation school once a week."

[1174] Step 5:

[1175] The server combines the process information and emotion data to generate future diary entries, and an emotion engine adjusts the diary content based on the user's emotions.

[1176] Input: Process information and emotion data.

[1177] Output: The user's future diary entries.

[1178] Specific action: Create a diary entry that reads, "Today, I gave a successful presentation in English and feel more confident."

[1179] Step 6:

[1180] The server selects advertisements from the database that are relevant to the user's goal data, process information, and emotion data, and inserts them into the generated future diary entries.

[1181] Input: goal data, process information, emotion data, advertising database.

[1182] Output: Future diary entry with ad inserted.

[1183] Specific actions: Select advertisements for English conversation schools and English learning apps and insert them into diary entries.

[1184] Step 7:

[1185] The server transmits the generated future diary entries and associated advertisements to the terminal, which displays them to the user.

[1186] Input: A future diary entry with an ad inserted.

[1187] Output: Future diary entries and advertisements displayed to the user.

[1188] Specific operation: The device analyzes the data received from the server and displays future diary entries and related advertisements on the screen.

[1189] (Application example 2)

[1190] Next, a description will be given of Application Example 2. In the following description, the data processing device 12 will be referred to as a "server" and the headset type terminal 314 will be referred to as a "terminal."

[1191] Conventional goal management systems struggled to provide specific guidelines for users' set goals and lacked the ability to visualize the future after achievement. This made it difficult for users to maintain their motivation to achieve their goals. They also had limited means of generating revenue by effectively inserting relevant advertisements. Furthermore, they lacked a personalized approach that took user emotions into account, making it impossible to provide optimized support for individual users.

[1192] The specific processing by the specific processing unit 290 of the data processing device 12 in Application Example 2 is realized by the following means. In this invention, the server includes means for receiving goal data entered by the user, means for analyzing the goal data and providing specific guidelines for achieving the goal based on the goal data, means for generating a future diary entry in which the goal is achieved based on the guidelines, means for selecting and inserting advertisements related to the diary entry, means for displaying the diary entry and related advertisements to the user, and means for recognizing the user's emotional data and personalizing the goal-achievement process and future diary entries based on the user's emotions. This allows the user to obtain specific and personalized guidelines for achieving the goal and to increase motivation by visualizing the future after the goal is achieved. Furthermore, it is possible to provide support optimized for the user's emotions while effectively inserting relevant advertisements.

[1193] A "user" is an individual who uses the system to set goals and receive support in achieving those goals.

[1194] "Goal data" is information relating to the goals and dreams that the user wants to achieve, and is data that is entered in text format.

[1195] A "course of action" is a concrete step or action plan that a user must take to achieve their goal.

[1196] A "future diary entry" is a diary-style document that describes the future situation or state when the user achieves the goal.

[1197] "Advertisement" means information promoting goods or services related to the target data or course of action.

[1198] "Emotion data" refers to information about the user's current feelings and emotional state, and is data obtained in text format or through automatic recognition.

[1199] "Natural language processing" is a technology that enables computers to understand, analyze, and generate human language.

[1200] "Personalization" means providing content and services that are optimized to suit the characteristics and circumstances of each individual user.

[1201] A "server" is a computer system that receives, analyzes, and processes goal data and emotion data from a user.

[1202] "Database" means an information storage system that stores advertisements and other related information and that can be searched or referenced as needed.

[1203] This invention is a system that provides specific guidelines for achieving a goal set by a user and generates and displays future diary entries after the goal is achieved. This system is characterized by recognizing the user's emotional data and personalizing the guidelines and future diary entries based on that data.

[1204] System configuration

[1205] The system consists of the following main elements:

[1206] User device: A device such as a smartphone or head-mounted display (HMD) through which the user inputs their goals and views the generated future diary entries.

[1207] Server: A central system that receives, analyzes, and processes goal data and emotion data.

[1208] Database: An information storage system for storing information such as goal data, emotion data, guidelines for action, and advertisements.

[1209] Hardware used

[1210] Smartphone: A device where users can enter their goals and check their results.

[1211] Head-mounted display (HMD): A device that provides a more interactive experience.

[1212] Server: A computer system for performing natural language processing and emotion recognition.

[1213] Software used

[1214] Python: A server-side programming language.

[1215] Flask: A server-side web framework.

[1216] SpaCy: A natural language processing library.

[1217] BERT: A deep learning model for emotion recognition.

[1218] openAI GPT-3: Used as a generative AI model.

[1219] System Operation Overview

[1220] 1. Goal input: The user inputs the goal they want to achieve and their current emotions using a smartphone or HMD. The goal data and emotion data are sent to the server.

[1221] 2. Data analysis: The server uses SpaCy and BERT to analyze the goal data and sentiment data. Based on the analysis results, it generates specific action guidelines.

[1222] 3. Generating future diary entries: Based on the guidelines, openAI GPT-3 is used to generate future diary entries when the user achieves their goal.

[1223] 4. Advertisement selection and insertion: The server selects advertisements from the database that are relevant to the generated future diary entries and inserts them appropriately.

[1224] 5. Displaying the results: The server sends the generated future diary entries and advertisements to the user's smartphone or HMD for display.

[1225] Specific examples

[1226] For example, if a user has a goal of "becoming fluent in English," this goal data is sent to the server. At the same time, the emotion engine recognizes emotion data such as "high motivation" based on the user's input and facial recognition. The server analyzes the goal data and emotion data using natural language processing and the emotion engine, and generates process information such as "study English for 30 minutes every day," "attend an English conversation school once a week," and "practice conversation with English speakers." Based on the generated process information and "high motivation," the server then creates a future diary entry such as, "Today, I successfully gave a presentation in English, which gave me confidence. I now feel like I've truly become fluent." Furthermore, it selects advertisements for English conversation schools and English learning apps and inserts them into the diary entry.

[1227] Example prompt sentence:

[1228] input:

[1229] Goal: To be able to speak English fluently

[1230] Emotion: Enthusiastic

[1231] output:

[1232] Future Diary:

[1233] "Today, May 10, 2024, I finally gave a presentation in English, and it was a great success. I received a lot of gratitude from many people, and it gave me a lot of confidence. I will continue to study English and aim to improve even more."

[1234] Recommended ads:

[1235] 1. English Conversation School A Course

[1236] 2. Learning App B's Premium Plan

[1237] 3. Pronunciation Correction Service C

[1238] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[1239] Step 1:

[1240] Entering and receiving goal and emotion data

[1241] The user inputs their goals and current emotions using a smartphone or head-mounted display (HMD). The input data is called "goal data" and "emotion data." The device then sends this data to the server.

[1242] Input: Goal data, emotion data

[1243] Data processing: Obtain goals and emotions in text format and convert them to JSON format

[1244] Output: Goal and emotion data in JSON format

[1245] Step 2:

[1246] Receiving and analyzing goal and emotion data

[1247] The server receives the goal data and emotion data sent from the device. It then analyzes the goal data using natural language processing (SpaCy) and the emotion data using the BERT model. This provides the basic data for generating the course of action needed to achieve the goal.

[1248] Input: JSON format goal data, emotion data

[1249] Data processing: Analyze target data using natural language processing, analyze emotional data using emotion recognition models

[1250] Output: Analysis results (analyzed targets, emotion recognition results)

[1251] Step 3:

[1252] Generating guidelines for action

[1253] The server uses the data analyzed in the previous step to generate specific action plans, feeding the analysis results into OpenAI's GPT-3 generative model to generate specific steps for the user to achieve their goal.

[1254] Input: Analysis results (analyzed target, emotion recognition results)

[1255] Data processing: Use the analysis results as prompts to input into the GPT-3 generative model

[1256] Output: Action guidelines (study English for 30 minutes every day, attend English conversation school once a week, etc.)

[1257] Step 4:

[1258] Generate future diary entries

[1259] The server uses the generated action plan and emotion data to generate future diary entries, again using GPT-3 to create a diary that details the future situation and emotions when the user achieves their goal.

[1260] Input: Action guidelines, emotional data

[1261] Data manipulation: Using behavioral and emotional data as prompts to feed the GPT-3 generative model

[1262] Output: Future diary entry

[1263] Step 5:

[1264] Ad selection and insertion

[1265] The server selects relevant advertisements from a database based on the generated future diary entry and the course of action, and the selected advertisements are inserted appropriately into the future diary entry.

[1266] Input: Future diary entry, course of action

[1267] Data processing: Search and select relevant advertisements from the database and insert them into the diary entry

[1268] Output: Future diary entry with advertisements

[1269] Step 6:

[1270] Displaying the results

[1271] The server sends the generated future diary entries and advertisements in JSON format to the user's device, which receives this data and displays it to the user.

[1272] Input: Future diary entry with ads

[1273] Data processing: Convert to JSON format and send to the terminal

[1274] Output: Future diary entries and advertisements displayed on the user's device

[1275] Specific examples (prompt sentence examples):

[1276] input:

[1277] Goal: To be able to speak English fluently

[1278] Emotion: Enthusiastic

[1279] output:

[1280] Future Diary:

[1281] "Today, May 10, 2024, I finally gave a presentation in English, and it was a great success. I received a lot of gratitude from many people, and it gave me a lot of confidence. I will continue to study English and aim to improve even more."

[1282] Recommended ads:

[1283] 1. English Conversation School A Course

[1284] 2. Learning App B's Premium Plan

[1285] 3. Pronunciation Correction Service C

[1286] The specific processing unit 290 transmits the result of the specific processing to the headset type terminal 314. In the headset type terminal 314, the control unit 46A causes the speaker 240 and the display 343 to output the result of the specific processing. The microphone 238 acquires audio indicating a user input regarding the result of the specific processing. The control unit 46A transmits audio data indicating the user input acquired by the microphone 238 to the data processing device 12. In the data processing device 12, the specific processing unit 290 acquires the audio data.

[1287] The data generation model 58 is a so-called generative AI (Artificial Intelligence). An example of the data generation model 58 is ChatGPT (Internet Search<URL: https: / / openai.com / blog / chatgpt> ), Gemini (Internet search <url: https: gemini.google.com ?hl="ja">) and other generation AIs. The data generation model 58 is obtained by performing deep learning on a neural network. A prompt including an instruction is input to the data generation model 58, and inference data such as voice data indicating voice, text data indicating text, and image data indicating an image is also input. The data generation model 58 performs inference on the input inference data in accordance with the instruction indicated by the prompt, and outputs the inference result in a data format such as voice data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization.

[1288] In the above embodiment, an example was given in which the specific processing is performed by the data processing device 12, but the technology of the present disclosure is not limited to this, and the specific processing may be performed by the headset type terminal 314.

[1289] [Fourth embodiment]

[1290] FIG. 7 shows an example of the configuration of a data processing system 410 according to the fourth embodiment.

[1291] 7, a data processing system 410 includes a data processing device 12 and a robot 414. An example of the data processing device 12 is a server.

[1292] The data processing device 12 includes a computer 22, a database 24, and a communication I / F 26. The computer 22 is an example of a "computer" according to the technology of the present disclosure. The computer 22 includes a processor 28, a RAM 30, and a storage 32. The processor 28, the RAM 30, and the storage 32 are connected to a bus 34. The database 24 and the communication I / F 26 are also connected to the bus 34. The communication I / F 26 is connected to a network 54. Examples of the network 54 include a WAN (Wide Area Network) and / or a LAN (Local Area Network).

[1293] The robot 414 includes a computer 36, a microphone 238, a speaker 240, a camera 42, a communication I / F 44, and a control target 443. The computer 36 includes a processor 46, a RAM 48, and a storage 50. The processor 46, the RAM 48, and the storage 50 are connected to a bus 52. The microphone 238, the speaker 240, the camera 42, and the control target 443 are also connected to the bus 52.

[1294] The microphone 238 receives instructions and the like from the user 20 by receiving voice uttered by the user 20. The microphone 238 captures the voice uttered by the user 20, converts the captured voice into audio data, and outputs it to the processor 46. The speaker 240 outputs audio in accordance with instructions from the processor 46.

[1295] Camera 42 is a small digital camera equipped with an optical system including a lens, aperture, and shutter, and an imaging element such as a CMOS (Complementary Metal-Oxide-Semiconductor) image sensor or a CCD (Charge Coupled Device) image sensor, and captures images of the surroundings of user 20 (for example, an imaging range defined by an angle of view equivalent to the field of vision of a typical healthy person).

[1296] The communication I / F 44 is connected to a network 54. The communication I / Fs 44 and 26 are responsible for the exchange of various information between the processor 46 and the processor 28 via the network 54. The exchange of various information between the processor 46 and the processor 28 using the communication I / Fs 44 and 26 is carried out in a secure state.

[1297] The control object 443 includes a display device, LEDs in the eyes, and motors for driving the arms, hands, and feet. The posture and gestures of the robot 414 are controlled by controlling the motors of the arms, hands, and feet. Some of the emotions of the robot 414 can be expressed by controlling these motors. In addition, the facial expressions of the robot 414 can also be expressed by controlling the light emission state of the LEDs in the eyes of the robot 414.

[1298] Fig. 8 shows an example of the main functions of the data processing device 12 and the robot 414. As shown in Fig. 8, in the data processing device 12, a specific process is performed by the processor 28. A specific process program 56 is stored in the storage 32.

[1299] The specific processing program 56 is an example of a "program" according to the technology of the present disclosure. The processor 28 reads the specific processing program 56 from the storage 32 and executes the read specific processing program 56 on the RAM 30. The specific processing is realized by the processor 28 operating as a specific processing unit 290 in accordance with the specific processing program 56 executed on the RAM 30.

[1300] The storage 32 stores a data generation model 58 and an emotion identification model 59. The data generation model 58 and the emotion identification model 59 are used by the identification processing unit 290.

[1301] In the robot 414, the processor 46 performs the reception output process. A reception output program 60 is stored in the storage 50. The processor 46 reads the reception output program 60 from the storage 50 and executes the read reception output program 60 on the RAM 48. The reception output process is realized by the processor 46 operating as the control unit 46A in accordance with the reception output program 60 executed on the RAM 48.

[1302] Next, a description will be given of the specific processing performed by the specific processing unit 290 of the data processing device 12. In the following description, the data processing device 12 will be referred to as a "server" and the robot 414 will be referred to as a "terminal."

[1303] The present invention relates to a system that clarifies the process for achieving a goal entered by a user and generates and displays a future diary after the goal is achieved. This system provides specific action steps based on the user's goal and can also earn advertising revenue by inserting related advertisements.

[1304] System Configuration

[1305] 1. User input of goals

[1306] A user starts the application and enters the goals and dreams they want to achieve into the text fields. This input information is called "goal data."

[1307] 2. Sending goal data

[1308] The terminal receives the user's input and sends it to the server using a communication method such as an HTTP request.

[1309] 3. Analysis of target data

[1310] The server analyzes the received goal data and generates specific process information for achieving the goal. Natural language processing technology can be used for the analysis.

[1311] 4. Generate process information

[1312] Based on the analysis results, the server generates specific steps and action plans for the user to achieve their goals. This information is called "process information."

[1313] 5. Generating future diary entries

[1314] The server uses the process information to generate future diary entries for when the user achieves the goal, including the emotions and achievements that led to the goal achievement.

[1315] 6. Advertisement selection and insertion

[1316] The server selects advertisements from a database that are relevant to the user's goals and process information, and inserts them appropriately into the generated future diary entries.

[1317] 7. Display future diary entries

[1318] The server sends the generated future diary entries and related advertisements to the device, which receives the data and displays it to the user, where the user can see what they will look like after achieving their goal and see recommended advertisements.

[1319] Specific examples

[1320] For example, if a user has a goal of "becoming fluent in English," this goal data is sent to the server. The server analyzes this goal data using natural language processing technology and generates process information such as "study English for 30 minutes every day," "attend an English conversation school once a week," and "practice conversation with English speakers." Based on the generated process information, the server then creates a future diary entry such as "Today, I successfully gave a presentation in English, which gave me confidence. I now feel like I've truly become fluent in English." The server then selects advertisements for English conversation schools and English learning apps and inserts them into the diary entry.

[1321] Finally, the system sends the generated future diary entry and related advertisements to the device, which then displays the diary entry to the user. This allows the user to visualize themselves as fluent English speakers in the future, motivating them to achieve their goal. The system also allows the user to earn advertising revenue by inserting relevant advertisements.

[1322] This invention provides users with specific guidelines for action to achieve their goals, and can increase their motivation by visualizing the future after achievement. In addition, it is possible to earn advertising revenue by effectively displaying related advertisements.

[1323] The processing flow will be explained below.

[1324] Step 1:

[1325] A user starts the application, enters their goals in the text field for entering goals and dreams, and then clicks the submit button, which captures the input data on the device.

[1326] Step 2:

[1327] The terminal transmits the acquired user goal data to the server as an HTTP POST request, which includes the goal data.

[1328] Step 3:

[1329] The server receives the HTTP POST request, extracts the target data from the request, and then passes this target data to a natural language processing (NLP) module to parse the data.

[1330] Step 4:

[1331] The server uses an NLP module to analyze the goal data and generate specific process information for achieving the goal (e.g., study English for 30 minutes every day, attend an English conversation school once a week).

[1332] Step 5:

[1333] Based on the process information generated by the server, a future diary entry is generated in which the user achieves their goal, for example, "Today, I gave a successful presentation in English, and now I feel more confident."

[1334] Step 6:

[1335] The server selects advertisements from a database that are relevant to the target data and process information, and inserts the most relevant advertisements into the generated future diary entries.

[1336] Step 7:

[1337] The server sends future diary entries and inserted advertisements in JSON format to the device.

[1338] Step 8:

[1339] The device parses the received JSON data and displays it to the user, allowing them to view future diary entries and related advertisements.

[1340] Example 1

[1341] Next, a description will be given of Example 1. In the following description, the data processing device 12 will be referred to as a "server" and the robot 414 will be referred to as a "terminal."

[1342] Conventional systems lacked the means to provide users with a concrete process for achieving their goals or the means to visualize the future after achieving them. As a result, users had difficulty obtaining concrete guidelines for achieving their goals, leading to problems with their motivation. Furthermore, these systems lacked an effective way to generate advertising revenue, making them unsustainable as businesses.

[1343] The specific processing by the specific processing unit 290 of the data processing device 12 in the first embodiment is realized by the following means.

[1344] In this invention, the server includes means for receiving goal data entered by the user, means for analyzing the goal data and generating process information for achieving the goal, means for generating a future diary entry in which the goal is achieved based on the process information, means for selecting and inserting advertisements related to the generated future diary entry, and means for displaying the future diary entry to the user. This provides the user with a concrete guide to action and increases their motivation by visualizing their future after achieving their goal. Furthermore, by effectively displaying relevant advertisements, the system can earn advertising revenue, improving business sustainability.

[1345] "Goal data" is information that a user enters into the system that describes the goals or dreams they wish to achieve.

[1346] "Process information" is a set of specific steps and guidelines for achieving a goal, which is generated by the server by analyzing the goal data.

[1347] A "future diary entry" is diary-style information that is generated by the server based on process information and describes the future situation and emotions of the user when they have achieved their goal.

[1348] A "generative AI model" is an artificial intelligence model that uses natural language processing technology to analyze target data and generate process information.

[1349] "Advertisements" are information introducing products or services related to the user's goals or process information, and are inserted into future diary entries by the server.

[1350] "Server" is a collection of hardware and software that receives and analyzes user targeting data, processes information and generates future diary entries, and selects and displays advertisements.

[1351] A "terminal" is a device through which a user inputs goal data and receives and displays future diary entries and advertisements sent from the server, and includes personal computers and smartphones.

[1352] The present invention relates to a system that provides a specific process for achieving a goal entered by a user and generates and displays future diary entries after the goal is achieved. This system provides a course of action for the user and can earn advertising revenue by inserting relevant advertisements. A specific embodiment of this system is described below.

[1353] System Configuration

[1354] 1. User input of goals

[1355] The user starts the application and inputs their goal. This goal is saved on the device as "goal data." For example, the user might input, "I want to be able to speak English fluently."

[1356] 2. Sending goal data

[1357] The device retrieves the target data and sends it to the server via an HTTP request, including metadata such as the user ID.

[1358] 3. Analysis of target data

[1359] The server analyzes the received goal data. This analysis uses natural language processing technology. Specifically, a generative AI model (e.g., GPT-3) is used, and a prompt such as "My goal is to become fluent in English. Please tell me the specific steps to achieve this goal" is sent to the generative AI model.

[1360] 4. Generate process information

[1361] The server generates specific process information based on the information returned by the AI ​​model. Examples include steps such as "study English for 30 minutes every day," "attend an English conversation school once a week," and "practice conversation with English speakers."

[1362] 5. Generating future diary entries

[1363] Based on the process information, the server generates a future diary entry for when the user has achieved their goal. For example, a diary entry with the content "Today, I gave a successful presentation in English, which gave me confidence. I feel like I can really speak fluently now."

[1364] 6. Advertisement selection and insertion

[1365] The server selects advertisements related to the user's process information from the database and inserts them into the generated future diary entries. For example, advertisements related to English conversation schools or English learning apps are selected and placed in the diary entries.

[1366] 7. Display future diary entries

[1367] The server generates future diary entries and sends advertisements to the device, which receives them and displays them on the user's screen. The user can see what they will look like after achieving their goal and see recommended advertisements.

[1368] Hardware and Software Configuration

[1369] Server: A cloud server with a powerful processor and a large amount of memory.

[1370] Device: The computer or smartphone used by the user.

[1371] software:

[1372] Web or mobile applications (user interface portion)

[1373] Server-side programs (using Python or Node.js)

[1374] Database (MySQL or MongoDB)

[1375] Natural language processing engines (generative AI models such as GPT-3)

[1376] Specific examples

[1377] The user enters their goal, such as "I want to be able to speak English fluently," into the application, and the device sends the goal data to the server. The server then sends the goal data to a generative AI model to obtain steps to achieve the goal. Based on this, the server generates process information, such as "study English for 30 minutes every day" or "attend an English conversation school once a week." The server then creates future diary entries based on these steps and inserts advertisements for English conversation schools and English learning apps. The server then sends these future diary entries and related advertisements to the user's device, which displays them. Through the future diary, the user can visualize themselves speaking English fluently, increasing their motivation to achieve their goal. The system also earns advertising revenue, improving the sustainability of its business.

[1378] The flow of the identification process in the first embodiment will be described with reference to FIG.

[1379] Step 1:

[1380] The user starts the application and enters their goal. They enter their goal (e.g., "I want to be able to speak English fluently") in the input field and press the submit button. This generates the goal data.

[1381] Input: User-entered goal data

[1382] Output: Goal data saved on the device

[1383] Step 2:

[1384] The device acquires the goal data entered by the user and sends an HTTP POST request to the server. The request body includes the goal data and metadata such as the user ID.

[1385] Input: Goal data stored on the device

[1386] Output: HTTP request sent to the server

[1387] Step 3:

[1388] The server receives the HTTP request, analyzes the target data, and uses natural language processing techniques to send a prompt to the generative AI model: "My goal is to become fluent in English. Please tell me the specific steps I need to take to achieve this goal."

[1389] Input: Target data received by the server

[1390] Output: The prompt sent to the generative AI model

[1391] Step 4:

[1392] The generative AI model generates specific steps (process information) based on the prompt and returns them to the server. Examples include "Study English for 30 minutes every day," "Attend an English conversation school once a week," and "Practice conversation with English speakers."

[1393] Input: prompt statement

[1394] Output: Process information

[1395] Step 5:

[1396] The server generates a future diary entry for after the goal is achieved based on the generated process information. For example, a diary entry with the content "Today, I successfully gave a presentation in English, which gave me confidence. I feel like I can really speak fluently now."

[1397] Input: Process information

[1398] Output: Future diary entry

[1399] Step 6:

[1400] The server selects advertisements related to the user's process information from the database and inserts them into future diary entries. For example, advertisements for English conversation schools or English learning apps are inserted.

[1401] Input: Future diary entries and process information

[1402] Output: Future diary entry with ad inserted

[1403] Step 7:

[1404] The server sends the generated future diary entries and advertisements to the device, which receives them and displays them on the user's screen. The user can then see what their future self will look like after achieving their goal and related advertisements.

[1405] Input: Future diary entry with ad inserted

[1406] Output: Future diary entries and advertisements displayed on the user's device

[1407] (Application example 1)

[1408] Next, a description will be given of Application Example 1. In the following description, the data processing device 12 will be referred to as a "server" and the robot 414 will be referred to as a "terminal."

[1409] Conventional goal achievement support systems have had problems in that it is difficult for users to intuitively grasp the specific action steps to achieve their goals, making it difficult to maintain motivation. Furthermore, the targeting of goal-related advertisements is insufficient, making it difficult to display advertisements effectively. Furthermore, the motivation-boosting effect of visualizing one's future self is not fully utilized.

[1410] The specific processing by the specific processing unit 290 of the data processing device 12 in the application example 1 is realized by the following means.

[1411] In this invention, the server includes means for analyzing the goal entered by the user and providing specific action steps for achieving the goal, means for adding advertisements to future diary entries after the goal is achieved, and means for visualizing the diary entries and advertisements to the user, thereby enabling the user to obtain specific guidelines for action and increase motivation, and also making it possible to earn revenue by effectively displaying related advertisements.

[1412] "Goal data" is information that verbalizes the specific goals and dreams that the user is trying to achieve.

[1413] "Process information" refers to the specific action steps and action plans required to achieve a goal.

[1414] A "future diary entry" is a sentence created in anticipation of the future after the user has achieved their goal.

[1415] An "advertisement" is promotional information related to a user's goals or action steps.

[1416] "Visualization" refers to the presentation of information to a user in the form of images, text, or other formats.

[1417] "Natural language processing" is a technology that enables computers to understand, interpret, and generate human language.

[1418] A "database" is a software system for efficiently searching, storing, and managing large amounts of data.

[1419] The present invention is a system that helps users achieve their goals and visualizes the process, consisting of steps for receiving and analyzing goal data, generating process information and future diary entries, selecting and inserting advertisements, and displaying them to the user.

[1420] System configuration

[1421] The hardware and software used in implementing the present invention include the following:

[1422] Hardware: The smartphone used by the user.

[1423] Frontend: React Native (Mobile App Development).

[1424] Backend: Node.js and Express (server construction).

[1425] Database: MongoDB.

[1426] Natural Language Processing: OpenAI GPT-4 API.

[1427] Ad serving: Google AdMob.

[1428] Program processing

[1429] The system performs the following process:

[1430] 1. User enters goal data:

[1431] A user uses a smartphone to enter a goal into a text field within the application, for example, "I want to be able to speak English fluently."

[1432] 2. Sending target data:

[1433] The device sends the input target data to the backend Node.js server using an HTTP request. Through this communication, the target data reaches the server.

[1434] 3. Target data analysis:

[1435] The server analyzes the received goal data using OpenAI GPT-4. Based on the analysis results, it generates specific action steps to achieve the goal. For example, steps such as "study English for 30 minutes every day" or "attend an English conversation school once a week."

[1436] 4. Generate process information:

[1437] Based on the analyzed action steps, the server generates process information to provide to the user. This information is stored in a database (MongoDB).

[1438] 5. Generate future diary entries:

[1439] Using the process information, the server generates future diary entries, such as "Today, I gave a successful presentation in English, which has given me confidence."

[1440] 6. Advertisement Selection and Insertion:

[1441] The server selects relevant advertisements based on the goal data and process information. Google AdMob is used to insert advertisements for English conversation schools and English learning apps into diary entries.

[1442] 7. View future diary entries:

[1443] The server sends the generated future diary entries and advertisements to the user's device and displays them on the front end, allowing the user to visualize their future self and increase their motivation.

[1444] Specific examples

[1445] The user inputs the goal "I want to be able to speak English fluently," and the server sends the following prompt to OpenAI GPT-4 to analyze this goal.

[1446] Example prompt sentence:

[1447] “The user has a goal: ‘I want to be able to speak English fluently.’ Generate specific action steps to achieve this goal, then create a future diary entry for when the goal is achieved. Also, insert advertisements for English conversation schools or English learning apps into the diary entry.”

[1448] As a result, users can obtain specific guidelines for action and be more motivated to achieve their goals. Furthermore, the system can earn advertising revenue by effectively displaying relevant advertisements.

[1449] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[1450] Step 1:

[1451] User enters goal data:

[1452] The user turns on the smartphone and enters their goal into a text field within the application.

[1453] Input: Goal data (e.g., "I want to be able to speak English fluently")

[1454] Output: The entered target data is temporarily saved on the device.

[1455] Step 2:

[1456] Sending goal data:

[1457] The terminal transmits the input target data to the server using an HTTP request.

[1458] Input: Temporarily saved goal data

[1459] Data processing: Packaging into HTTP request format.

[1460] Output: The target data sent to the server as an HTTP request

[1461] Step 3:

[1462] Analysis of target data:

[1463] The server analyzes the received goal data and calls the OpenAI GPT-4 API to generate specific action steps.

[1464] Input: Target data received by the server

[1465] Data Computation: Use natural language processing to generate action steps to achieve goals.

[1466] Output: Behavioral step data (e.g., "Study English for 30 minutes every day," "Attend English conversation school once a week")

[1467] Step 4:

[1468] Generate process information:

[1469] The server generates process information based on the analysis results and stores it in a database.

[1470] Input: Behavioral step data

[1471] Data processing: Converting action step data into process information format

[1472] Output: Process information (e.g., "English study plan") is saved in a database

[1473] Step 5:

[1474] Generate future diary entries:

[1475] The server uses the process information to generate future diary entries, again using the OpenAI GPT-4 API.

[1476] Input: Process information

[1477] Data calculation: generating future diary entries

[1478] Output: Future diary entry (e.g., "Today, I gave a successful presentation in English, which has boosted my confidence.")

[1479] Step 6:

[1480] Ad selection and insertion:

[1481] The server uses Google AdMob to select relevant advertisements based on the target data and process information and inserts them into the generated future diary entries.

[1482] Input: Future diary entries, goal data, process information

[1483] Data processing: Selection of advertisements and insertion into diary entries

[1484] Output: Future diary entry with ad inserted

[1485] Step 7:

[1486] View future diary entries:

[1487] The server transmits the generated future diary entries and advertisements to the terminal, which displays them to the user.

[1488] Input: Future diary entry with ad inserted

[1489] Data processing: Converting data into a format that can be displayed to the user

[1490] Output: Future diary entries and advertisements visually displayed on the user's device

[1491] Furthermore, an emotion engine that estimates the user's emotion may be further combined. That is, the identification processing unit 290 may estimate the user's emotion using the emotion identification model 59, and perform identification processing using the user's emotion.

[1492] This invention relates to a system that clarifies the process for achieving a goal entered by a user and generates and displays a future diary entry after the goal is achieved. This system provides specific action steps based on the user's goal and can also generate advertising revenue by inserting relevant advertisements. Furthermore, this system incorporates an emotion engine that recognizes the user's emotions and further personalizes the goal achievement process and future diary entry based on the user's emotions.

[1493] System Configuration

[1494] 1. User input of goals

[1495] The user starts the application and enters their goals and dreams in the text field. This input information is called "goal data." The user can also input their current emotions, or the emotion engine can automatically recognize emotions.

[1496] 2. Sending goal and emotion data

[1497] The terminal receives the user's input (goal data and emotion data) and sends it to the server using a communication means such as an HTTP request.

[1498] 3. Analysis of goal and emotion data

[1499] The server receives the HTTP request, extracts the goal and emotion data from the request, and then passes the goal and emotion data to a natural language processing (NLP) module and emotion engine for data analysis.

[1500] 4. Generate process information

[1501] The server uses the NLP module and emotion engine to analyze the goal data and generate specific process information for achieving the goal (e.g., study English for 30 minutes every day, attend an English conversation school once a week). The emotion engine takes the user's emotion data into consideration and provides the optimal process information.

[1502] 5. Generating future diary entries

[1503] The server uses the process information and emotion data to generate future diary entries for when the user achieves their goal. These diary entries include the emotions and results that led to the goal achievement. The emotion engine adjusts the content according to the user's emotional state.

[1504] 6. Advertisement selection and insertion

[1505] The server selects advertisements related to the user's goal data, process information, and emotion data from the database and inserts them appropriately into the generated future diary entries.

[1506] 7. Display future diary entries

[1507] The server generates future diary entries and related advertisements and sends them to the device in JSON format. The device receives this data and displays it to the user, where they can see what they will look like after achieving their goal and see recommended advertisements.

[1508] Specific examples

[1509] For example, if a user has a goal of "becoming fluent in English," this goal data is sent to the server. At the same time, the emotion engine recognizes emotion data such as "high motivation" based on the user's input and facial recognition. The server then analyzes the goal data and emotion data using natural language processing and the emotion engine, generating process information such as "study English for 30 minutes every day," "attend an English conversation school once a week," and "practice conversation with English speakers." Based on the generated process information and "high motivation," the server then creates a future diary entry such as "Today, I successfully gave a presentation in English, which gave me confidence. I now feel like I've truly become fluent." Furthermore, it selects advertisements for English conversation schools and English learning apps and inserts them into the diary entry.

[1510] Finally, the system sends the generated future diary entry and related advertisements to the device, which then displays the diary entry to the user. This allows the user to visualize themselves as fluent English speakers in the future, motivating them to achieve their goal. The system also allows the user to earn advertising revenue by inserting relevant advertisements.

[1511] This invention provides users with concrete guidelines for their goals and can increase their motivation by visualizing the future after achievement. It also makes it possible to earn advertising revenue by effectively displaying relevant advertisements. Furthermore, by combining it with an emotion engine, it is possible to provide a personalized experience optimized for the user's emotions, further enhancing the usefulness of the system.

[1512] The processing flow will be explained below.

[1513] Step 1:

[1514] Users launch the application, enter their goals and dreams into the text field, and then select their emotion, or the emotion engine will automatically recognize emotions through facial and voice recognition.

[1515] Step 2:

[1516] The terminal receives the goal data and emotion data and sends them to the server in an HTTP POST request, which includes the user's goal data and emotion data.

[1517] Step 3:

[1518] The server receives the HTTP POST request, extracts goal and sentiment data from the request, and sends this data to the natural language processing (NLP) module and sentiment engine for analysis.

[1519] Step 4:

[1520] The server uses the NLP module to analyze the goal data using natural language processing technology. Based on the analysis results, it generates specific process information for achieving the goal (e.g., study English for 30 minutes every day, attend an English conversation school once a week).

[1521] Step 5:

[1522] The server uses an emotion engine to analyze the emotion data. Using the analysis results, the server optimizes the process information to match the user's emotions. For example, if the user's emotion data indicates that they are "highly motivated," the server generates process information that includes challenging steps.

[1523] Step 6:

[1524] The server generates future diary entries based on the integrated process information. The diary entries take into consideration the user's emotions. For example, a diary entry might say, "Today, I gave a successful presentation in English, which gave me confidence. By keeping my motivation high, I feel like I've really become fluent in English."

[1525] Step 7:

[1526] The server selects relevant advertisements from a database based on the goal data, process information, and emotion data, and inserts the most relevant advertisements into the generated future diary entries.

[1527] Step 8:

[1528] The server sends future diary entries and inserted advertisements in JSON format to the device.

[1529] Step 9:

[1530] The device parses the received JSON data and displays future diary entries and related advertisements to the user, allowing the user to see what they will look like after achieving their goal and see recommended advertisements.

[1531] Example 2

[1532] Next, a description will be given of Example 2. In the following description, the data processing device 12 will be referred to as a "server" and the robot 414 will be referred to as a "terminal."

[1533] Conventional goal achievement support systems only provide specific guidelines for actions to be taken toward the goals set by the user. Furthermore, they do not take into account the user's emotional state, making it difficult to provide a personalized experience tailored to each individual user. This makes it difficult to continuously maintain user motivation, and they are unable to achieve effective goal achievement. Furthermore, they lack intelligent methods for effectively displaying advertisements, making it difficult to increase advertising revenue.

[1534] The specific processing by the specific processing unit 290 of the data processing device 12 in the second embodiment is realized by the following means.

[1535] In this invention, the server includes means for receiving goal data and emotion data entered by the user, means for analyzing the goal data and emotion data and generating process information for achieving the goal, and means for generating a future diary entry in which the goal is achieved based on the process information and emotion data. This makes it possible to provide specific and emotion-conscious process information for the goal set by the user and generate personalized future diary entries. This also makes it possible to effectively insert relevant advertisements, thereby realizing advertisement display optimized for the user's emotional state and increasing advertising revenue.

[1536] "Goal Data" is information about a particular purpose or goal that a user wishes to achieve.

[1537] "Emotion data" is information about a user's emotional state, and is obtained using text input and emotion recognition technology.

[1538] "Process information" refers to information about specific action steps and activities required for a user to achieve a goal.

[1539] A "future diary entry" is a hypothetical diary entry that describes the events and feelings that will occur when a goal is achieved in the future.

[1540] "Advertisement" is promotional information about products and services related to the user's goal data, process information, and emotion data.

[1541] A "natural language processing (NLP) module" is a software module that uses computer technology to understand and analyze human language.

[1542] An "emotion engine" is a software module that analyzes a user's emotional state and provides customized information based on the results of that analysis.

[1543] A "server" is a computer system for receiving and analyzing a user's goal and emotion data and generating process information and future diary entries.

[1544] A "terminal" is a computing device that a user uses to input goal data and emotion data and receive the results.

[1545] MODE FOR CARRYING OUT THE INVENTION

[1546] This invention is a system that aims to provide specific process information for achieving a goal set by a user and generate and display future diary entries after the goal is achieved. The system provides personalized guidelines based on the user's goals and emotional information, and displays future diary entries and related advertisements based on these guidelines.

[1547] System Configuration

[1548] 1. User input of goals

[1549] A user launches an application and inputs a goal and emotional state. This information is called "goal data" and "emotion data."

[1550] 2. Sending goal and emotion data

[1551] The terminal receives the goal data and emotion data input by the user and sends them to the server via HTTP requests.

[1552] 3. Analysis of goal and emotion data

[1553] The server analyzes the received goal data and emotion data using a natural language processing (NLP) module and emotion engine.

[1554] 4. Generate process information

[1555] Based on the analysis results, the server generates specific process information necessary for the user to achieve their goal. The emotion engine takes into account the user's emotional data and provides optimal guidelines for action.

[1556] 5. Generating future diary entries

[1557] The server uses the process information and emotion data to generate future diary entries, and the emotion engine adjusts the diary content.

[1558] 6. Advertisement selection and insertion

[1559] The server selects advertisements related to the goal data, process information, and emotion data from a database and inserts them into the generated future diary entries.

[1560] 7. Display future diary entries

[1561] The server transmits the generated future diary entries and associated advertisements to the terminal, which displays them to the user.

[1562] Hardware and software used

[1563] Hardware:

[1564] Server: A computer system for high-performance data processing

[1565] Device: A device operated by a user, such as a smartphone, tablet, or computer

[1566] software:

[1567] Natural Language Processing (NLP) Module

[1568] Emotion Engine

[1569] Communication method using HTTP protocol

[1570] Specific examples

[1571] For example, if a user has a goal of "becoming fluent in English," this goal data is sent to the server. At the same time, the emotion engine recognizes emotion data such as "high motivation" based on the user's input and facial recognition. The server analyzes the goal data and emotion data using natural language processing and the emotion engine, and generates process information such as "study English for 30 minutes every day," "attend an English conversation school once a week," and "practice conversation with English speakers."

[1572] The server then creates a future diary entry based on the generated process information and "high motivation," such as "Today, I gave a successful presentation in English, which gave me confidence. I feel like I've become truly fluent." It also selects advertisements for English conversation schools and English learning apps and inserts them into the diary entry.

[1573] Finally, the system sends the generated future diary entry and related advertisements to the device, which then displays the diary entry to the user. This allows the user to visualize themselves as fluent English speakers in the future, motivating them to achieve their goal. The system also allows the user to earn advertising revenue by inserting relevant advertisements.

[1574] Example prompt sentence:

[1575] "The future diary entry generation system recognizes that the user's goal is 'I want to be able to speak English fluently,' and that their current emotion is 'highly motivated.' Based on this information, generate a specific process, such as studying English for 30 minutes every day or attending an English conversation school once a week, and create a future diary entry that follows that process. Adjust the diary entry to include topics about successful presentations and the emotions associated with them, and insert appropriate English learning advertisements."

[1576] The flow of the identification process in the second embodiment will be described with reference to FIG.

[1577] Step 1:

[1578] The user starts the application and enters goal data (e.g., "I want to be able to speak English fluently") into the input screen. In addition, the user can enter current emotion data (e.g., "I'm highly motivated"), or the emotion engine can automatically recognize the emotion.

[1579] Input: Goal data and emotion data entered by the user.

[1580] Output: The goal data and emotion data are saved to the device.

[1581] Specific actions: Enter "I want to be able to speak English fluently" in the text field and select "High" as the emotional state. Or, use the camera to recognize the user's facial expression.

[1582] Step 2:

[1583] The terminal receives the goal data and emotion data input by the user, creates an HTTP request, and sends it to the server.

[1584] Input: The goal data and emotion data entered in step 1.

[1585] Output: An HTTP request containing goal and emotion data.

[1586] Specific operation: The device sends a "POST" request to https: / / example.com / api / goals.

[1587] Step 3:

[1588] The server extracts goal data and emotion data from the received HTTP request and passes them to the natural language processing (NLP) module and emotion engine for analysis.

[1589] Input: An HTTP request containing goal and emotion data sent from the device.

[1590] Output: Analysis results from the NLP module and the emotion engine.

[1591] Specific operation: The server extracts the data "Goal = I want to be able to speak English fluently" and "Emotion = High" and analyzes it.

[1592] Step 4:

[1593] The server generates process information necessary to achieve the user's goals based on the analysis results of the NLP module and emotion engine.

[1594] Input: Analysis results of the NLP module and emotion engine.

[1595] Output: Process information to achieve the goal.

[1596] Specific actions: Generate process information such as "study English for 30 minutes every day" or "attend an English conversation school once a week."

[1597] Step 5:

[1598] The server combines the process information and emotion data to generate future diary entries, and an emotion engine adjusts the diary content based on the user's emotions.

[1599] Input: Process information and emotion data.

[1600] Output: The user's future diary entries.

[1601] Specific action: Create a diary entry that reads, "Today, I gave a successful presentation in English and feel more confident."

[1602] Step 6:

[1603] The server selects advertisements from the database that are relevant to the user's goal data, process information, and emotion data, and inserts them into the generated future diary entries.

[1604] Input: goal data, process information, emotion data, advertising database.

[1605] Output: Future diary entry with ad inserted.

[1606] Specific actions: Select advertisements for English conversation schools and English learning apps and insert them into diary entries.

[1607] Step 7:

[1608] The server transmits the generated future diary entries and associated advertisements to the terminal, which displays them to the user.

[1609] Input: A future diary entry with an ad inserted.

[1610] Output: Future diary entries and advertisements displayed to the user.

[1611] Specific operation: The device analyzes the data received from the server and displays future diary entries and related advertisements on the screen.

[1612] (Application example 2)

[1613] Next, a description will be given of Application Example 2. In the following description, the data processing device 12 will be referred to as a "server" and the robot 414 will be referred to as a "terminal."

[1614] Conventional goal management systems struggled to provide specific guidelines for users' set goals and lacked the ability to visualize the future after achievement. This made it difficult for users to maintain their motivation to achieve their goals. They also had limited means of generating revenue by effectively inserting relevant advertisements. Furthermore, they lacked a personalized approach that took user emotions into account, making it impossible to provide optimized support for individual users.

[1615] The specific processing by the specific processing unit 290 of the data processing device 12 in Application Example 2 is realized by the following means. In this invention, the server includes means for receiving goal data entered by the user, means for analyzing the goal data and providing specific guidelines for achieving the goal based on the goal data, means for generating a future diary entry in which the goal is achieved based on the guidelines, means for selecting and inserting advertisements related to the diary entry, means for displaying the diary entry and related advertisements to the user, and means for recognizing the user's emotional data and personalizing the goal-achievement process and future diary entries based on the user's emotions. This allows the user to obtain specific and personalized guidelines for achieving the goal and to increase motivation by visualizing the future after the goal is achieved. Furthermore, it is possible to provide support optimized for the user's emotions while effectively inserting relevant advertisements.

[1616] A "user" is an individual who uses the system to set goals and receive support in achieving those goals.

[1617] "Goal data" is information relating to the goals and dreams that the user wants to achieve, and is data that is entered in text format.

[1618] A "course of action" is a concrete step or action plan that a user must take to achieve their goal.

[1619] A "future diary entry" is a diary-style document that describes the future situation or state when the user achieves the goal.

[1620] "Advertisement" means information promoting goods or services related to the target data or course of action.

[1621] "Emotion data" refers to information about the user's current feelings and emotional state, and is data obtained in text format or through automatic recognition.

[1622] "Natural language processing" is a technology that enables computers to understand, analyze, and generate human language.

[1623] "Personalization" means providing content and services that are optimized to suit the characteristics and circumstances of each individual user.

[1624] A "server" is a computer system that receives, analyzes, and processes goal data and emotion data from a user.

[1625] "Database" means an information storage system that stores advertisements and other related information and that can be searched or referenced as needed.

[1626] This invention is a system that provides specific guidelines for achieving a goal set by a user and generates and displays future diary entries after the goal is achieved. This system is characterized by recognizing the user's emotional data and personalizing the guidelines and future diary entries based on that data.

[1627] System configuration

[1628] The system consists of the following main elements:

[1629] User device: A device such as a smartphone or head-mounted display (HMD) through which the user inputs their goals and views the generated future diary entries.

[1630] Server: A central system that receives, analyzes, and processes goal data and emotion data.

[1631] Database: An information storage system for storing information such as goal data, emotion data, guidelines for action, and advertisements.

[1632] Hardware used

[1633] Smartphone: A device where users can enter their goals and check their results.

[1634] Head-mounted display (HMD): A device that provides a more interactive experience.

[1635] Server: A computer system for performing natural language processing and emotion recognition.

[1636] Software used

[1637] Python: A server-side programming language.

[1638] Flask: A server-side web framework.

[1639] SpaCy: A natural language processing library.

[1640] BERT: A deep learning model for emotion recognition.

[1641] openAI GPT-3: Used as a generative AI model.

[1642] System Operation Overview

[1643] 1. Goal input: The user inputs the goal they want to achieve and their current emotions using a smartphone or HMD. The goal data and emotion data are sent to the server.

[1644] 2. Data analysis: The server uses SpaCy and BERT to analyze the goal data and sentiment data. Based on the analysis results, it generates specific action guidelines.

[1645] 3. Generating future diary entries: Based on the guidelines, openAI GPT-3 is used to generate future diary entries when the user achieves their goal.

[1646] 4. Advertisement selection and insertion: The server selects advertisements from the database that are relevant to the generated future diary entries and inserts them appropriately.

[1647] 5. Displaying the results: The server sends the generated future diary entries and advertisements to the user's smartphone or HMD for display.

[1648] Specific examples

[1649] For example, if a user has a goal of "becoming fluent in English," this goal data is sent to the server. At the same time, the emotion engine recognizes emotion data such as "high motivation" based on the user's input and facial recognition. The server analyzes the goal data and emotion data using natural language processing and the emotion engine, and generates process information such as "study English for 30 minutes every day," "attend an English conversation school once a week," and "practice conversation with English speakers." Based on the generated process information and "high motivation," the server then creates a future diary entry such as, "Today, I successfully gave a presentation in English, which gave me confidence. I now feel like I've truly become fluent." Furthermore, it selects advertisements for English conversation schools and English learning apps and inserts them into the diary entry.

[1650] Example prompt sentence:

[1651] input:

[1652] Goal: To be able to speak English fluently

[1653] Emotion: Enthusiastic

[1654] output:

[1655] Future Diary:

[1656] "Today, May 10, 2024, I finally gave a presentation in English, and it was a great success. I received a lot of gratitude from many people, and it gave me a lot of confidence. I will continue to study English and aim to improve even more."

[1657] Recommended ads:

[1658] 1. English Conversation School A Course

[1659] 2. Learning App B's Premium Plan

[1660] 3. Pronunciation Correction Service C

[1661] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[1662] Step 1:

[1663] Entering and receiving goal and emotion data

[1664] The user inputs their goals and current emotions using a smartphone or head-mounted display (HMD). The input data is called "goal data" and "emotion data." The device then sends this data to the server.

[1665] Input: Goal data, emotion data

[1666] Data processing: Obtain goals and emotions in text format and convert them to JSON format

[1667] Output: Goal and emotion data in JSON format

[1668] Step 2:

[1669] Receiving and analyzing goal and emotion data

[1670] The server receives the goal data and emotion data sent from the device. It then analyzes the goal data using natural language processing (SpaCy) and the emotion data using the BERT model. This provides the basic data for generating the course of action needed to achieve the goal.

[1671] Input: JSON format goal data, emotion data

[1672] Data processing: Analyze target data using natural language processing, analyze emotional data using emotion recognition models

[1673] Output: Analysis results (analyzed targets, emotion recognition results)

[1674] Step 3:

[1675] Generating guidelines for action

[1676] The server uses the data analyzed in the previous step to generate specific action plans, feeding the analysis results into OpenAI's GPT-3 generative model to generate specific steps for the user to achieve their goal.

[1677] Input: Analysis results (analyzed target, emotion recognition results)

[1678] Data processing: Use the analysis results as prompts to input into the GPT-3 generative model

[1679] Output: Action guidelines (study English for 30 minutes every day, attend English conversation school once a week, etc.)

[1680] Step 4:

[1681] Generate future diary entries

[1682] The server uses the generated action plan and emotion data to generate future diary entries, again using GPT-3 to create a diary that details the future situation and emotions when the user achieves their goal.

[1683] Input: Action guidelines, emotional data

[1684] Data manipulation: Using behavioral and emotional data as prompts to feed the GPT-3 generative model

[1685] Output: Future diary entry

[1686] Step 5:

[1687] Ad selection and insertion

[1688] The server selects relevant advertisements from a database based on the generated future diary entry and the course of action, and the selected advertisements are inserted appropriately into the future diary entry.

[1689] Input: Future diary entry, course of action

[1690] Data processing: Search and select relevant advertisements from the database and insert them into the diary entry

[1691] Output: Future diary entry with advertisements

[1692] Step 6:

[1693] Displaying the results

[1694] The server sends the generated future diary entries and advertisements in JSON format to the user's device, which receives this data and displays it to the user.

[1695] Input: Future diary entry with ads

[1696] Data processing: Convert to JSON format and send to the terminal

[1697] Output: Future diary entries and advertisements displayed on the user's device

[1698] Specific examples (prompt sentence examples):

[1699] input:

[1700] Goal: To be able to speak English fluently

[1701] Emotion: Enthusiastic

[1702] output:

[1703] Future Diary:

[1704] "Today, May 10, 2024, I finally gave a presentation in English, and it was a great success. I received a lot of gratitude from many people, and it gave me a lot of confidence. I will continue to study English and aim to improve even more."

[1705] Recommended ads:

[1706] 1. English Conversation School A Course

[1707] 2. Learning App B's Premium Plan

[1708] 3. Pronunciation Correction Service C

[1709] The specific processing unit 290 transmits the result of the specific processing to the robot 414. In the robot 414, the control unit 46A causes the speaker 240 and the control target 443 to output the result of the specific processing. The microphone 238 acquires voice indicating a user input regarding the result of the specific processing. The control unit 46A transmits voice data indicating the user input acquired by the microphone 238 to the data processing device 12. In the data processing device 12, the specific processing unit 290 acquires the voice data.

[1710] The data generation model 58 is a so-called generative AI (Artificial Intelligence). An example of the data generation model 58 is ChatGPT (Internet Search<URL: https: / / openai.com / blog / chatgpt> ), Gemini (Internet search <url: https: gemini.google.com ?hl="ja">) and other generation AIs. The data generation model 58 is obtained by performing deep learning on a neural network. A prompt including an instruction is input to the data generation model 58, and inference data such as voice data indicating voice, text data indicating text, and image data indicating an image is also input. The data generation model 58 performs inference on the input inference data in accordance with the instruction indicated by the prompt, and outputs the inference result in a data format such as voice data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization.

[1711] In the above embodiment, an example was given in which the specific processing is performed by the data processing device 12, but the technology of the present disclosure is not limited to this, and the specific processing may be performed by the robot 414.

[1712] The emotion identification model 59 as an emotion engine may determine the user's emotion according to a specific mapping. Specifically, the emotion identification model 59 may determine the user's emotion according to an emotion map (see FIG. 9), which is a specific mapping. Similarly, the emotion identification model 59 may determine the robot's emotion, and the identification processing unit 290 may perform identification processing using the robot's emotion.

[1713] FIG. 9 is a diagram illustrating an emotion map 400 on which multiple emotions are mapped. In the emotion map 400, emotions are arranged in concentric circles radiating from the center. Emotions closer to the center of the concentric circles are more primitive. Emotions representing states and actions arising from a state of mind are arranged on the outer edges of the concentric circles. The concept of emotion includes both affect and mental states. Emotions generally generated from reactions occurring in the brain are arranged on the left side of the concentric circles. Emotions generally induced by situational judgment are arranged on the right side of the concentric circles. Emotions generally generated from reactions occurring in the brain and induced by situational judgment are arranged on the upper and lower sides of the concentric circles. Furthermore, the emotion of "pleasure" is arranged on the upper side of the concentric circles, and the emotion of "discomfort" is arranged on the lower side. In this way, in the emotion map 400, multiple emotions are mapped based on the structure by which emotions are generated, and emotions that tend to occur simultaneously are mapped close to each other.

[1714] These emotions are distributed in the 3 o'clock direction on emotion map 400, and typically fluctuate between relief and anxiety. In the right half of emotion map 400, situational awareness dominates over internal sensations, resulting in a sense of calm.

[1715] The inside of emotion map 400 represents what is going on in the mind, and the outside of emotion map 400 represents behavior, so the further you go outside emotion map 400, the more visible the emotions become (the more they are expressed in behavior).

[1716] Human emotions are based on various balances, such as posture and blood sugar levels. When these balances deviate from the ideal, a state of discomfort is indicated, and when they approach the ideal, a state of pleasure is indicated. Emotions can also be created for robots, automobiles, and motorcycles, based on various balances, such as posture and remaining battery life. When these balances deviate from the ideal, a state of discomfort is indicated, and when they approach the ideal, a state of pleasure is indicated. An emotion map can be generated, for example, based on Dr. Mitsuyoshi's emotion map (Research on Voice Emotion Recognition and Emotional Brain Physiological Signal Analysis Systems, Tokushima University, Doctoral Dissertation: https: / / ci.nii.ac.jp / naid / 500000375379). The left half of the emotion map lists emotions belonging to the "reaction" domain, where sensation is dominant. The right half of the emotion map lists emotions belonging to the "situation" domain, where situational awareness is dominant.

[1717] The emotion map defines two emotions that promote learning. One is a negative emotion on the situation side, around the middle of "repentance" or "reflection." In other words, this occurs when the robot experiences negative emotions such as "I never want to feel this way again" or "I don't want to be scolded again." The other is a positive emotion on the response side, around "desire." In other words, this occurs when the robot experiences positive feelings such as "I want more" or "I want to know more."

[1718] The emotion identification model 59 inputs user input into a pre-trained neural network, obtains emotion values ​​indicating each emotion shown in the emotion map 400, and determines the user's emotion. This neural network is pre-trained based on multiple pieces of training data that are combinations of user input and emotion values ​​indicating each emotion shown in the emotion map 400. Furthermore, this neural network is trained so that emotions that are located close to each other have similar values, as in the emotion map 900 shown in FIG. 10. FIG. 10 shows an example in which multiple emotions, "relieved," "calm," and "reassuring," have similar emotion values.

[1719] The system according to the present disclosure has been described above mainly with respect to the functions of the data processing device 12, but the system according to the present disclosure is not necessarily implemented on a server. The system according to the present disclosure may be implemented as a general information processing system. The present disclosure may be implemented, for example, as a software program running on a personal computer or an application running on a smartphone, etc. The method according to the present disclosure may be provided to users in the form of SaaS (Software as a Service).

[1720] In the above embodiment, an example was given in which the specific processing is performed by one computer 22, but the technology of the present disclosure is not limited to this, and the specific processing may be distributed and performed by a plurality of computers including the computer 22. For example, the data generation model 58 may be provided in an external device of the data processing device 12, and data may be generated in the external device in accordance with input data.

[1721] In the above embodiment, an example in which the specific processing program 56 is stored in the storage 32 has been described, but the technology of the present disclosure is not limited to this. For example, the specific processing program 56 may be stored in a portable, computer-readable, non-transitory storage medium such as a USB (Universal Serial Bus) memory. The specific processing program 56 stored in the non-transitory storage medium is installed in the computer 22 of the data processing device 12. The processor 28 executes the specific processing in accordance with the specific processing program 56.

[1722] 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.

[1723] It is not necessary to store all of the specific processing program 56 in a storage device such as a server connected to the data processing device 12 via the network 54, or to store all of the specific processing program 56 in the storage 32; only a portion of the specific processing program 56 may be stored.

[1724] The hardware resource for executing a specific process can be any of the following processors: An example of a processor is a CPU, which is a general-purpose processor that functions as a hardware resource for executing a specific process by executing software, i.e., a program. Another example of a processor is a dedicated electrical circuit, such as an FPGA (Field-Programmable Gate Array), a PLD (Programmable Logic Device), or an ASIC (Application Specific Integrated Circuit), which is a processor with a circuit configuration designed specifically for executing a specific process. Each processor has built-in or connected memory, and each processor uses the memory to execute the specific process.

[1725] The hardware resource that executes the specific processing may be configured with one of these various processors, or may be configured with a combination of two or more processors of the same or different types (for example, a combination of multiple FPGAs, or a combination of a CPU and an FPGA). Also, the hardware resource that executes the specific processing may be a single processor.

[1726] As an example of a system configured with a single processor, first, one processor is configured by combining one or more CPUs and software, and this processor functions as a hardware resource that executes a specific process. Second, there is a system that uses a processor that realizes the functions of an entire system including multiple hardware resources that execute a specific process on a single IC chip, as typified by SoC (System-on-a-chip). In this way, a specific process is realized using one or more of the above-mentioned various processors as hardware resources.

[1727] Furthermore, the hardware structure of these various processors can be, more specifically, an electric circuit that combines circuit elements such as semiconductor devices. The specific processing described above is merely an example. Therefore, it goes without saying that unnecessary steps may be deleted, new steps may be added, or the processing order may be rearranged, without departing from the spirit of the invention.

[1728] The above-described description and illustrations are a detailed explanation of the parts related to the technology of the present disclosure and are merely an example of the technology of the present disclosure. For example, the above description of the configuration, functions, actions, and effects is an explanation of an example of the configuration, functions, actions, and effects of the parts related to the technology of the present disclosure. Therefore, it goes without saying that unnecessary parts may be deleted, new elements may be added, or replacements may be made to the above-described description and illustrations within the scope of the gist of the technology of the present disclosure. Furthermore, to avoid confusion and facilitate understanding of the parts related to the technology of the present disclosure, the above-described description and illustrations omit explanations of common technical knowledge that do not require particular explanation to enable the implementation of the technology of the present disclosure.

[1729] All publications, patent applications, and technical standards mentioned in this specification are herein incorporated by reference to the same extent as if each individual publication, patent application, or technical standard was specifically and individually indicated to be incorporated by reference.

[1730] The following is further disclosed regarding the above embodiment.

[1731] (Claim 1)

[1732] means for receiving user-entered target data;

[1733] means for analyzing the target data and generating process information for achieving the target;

[1734] means for generating future diary entries in which goals are achieved based on said process information;

[1735] means for selecting and inserting advertisements related to said diary entries;

[1736] means for displaying said diary entries to a user;

[1737] A system including:

[1738] (Claim 2)

[1739] 10. The system of claim 1, further comprising means for using natural language processing to analyze the target data.

[1740] (Claim 3)

[1741] 10. The system of claim 1, further comprising means for selecting advertisements related to said process information from a database.

[1742] "Example 1"

[1743] (Claim 1)

[1744] means for receiving user-entered target data;

[1745] means for analyzing the target data and generating process information for achieving the target;

[1746] means for generating future diary entries in which goals are achieved based on said process information;

[1747] means for selecting and inserting advertisements relevant to the generated future diary entries;

[1748] means for displaying said future diary entries to a user;

[1749] A system including:

[1750] (Claim 2)

[1751] 10. The system of claim 1, further comprising means for using a generative AI model to analyze the target data.

[1752] (Claim 3)

[1753] 2. The system of claim 1, further comprising means for selecting and inserting advertisements related to said process information from a database.

[1754] "Application Example 1"

[1755] (Claim 1)

[1756] means for receiving user-entered target data;

[1757] means for analyzing the target data and generating process information for achieving the target;

[1758] means for generating future diary entries in which goals are achieved based on said process information;

[1759] means for selecting and inserting advertisements related to said diary entries;

[1760] means for displaying said diary entries to a user;

[1761] A means for analyzing the goal entered by the user and providing specific action steps for achieving the goal;

[1762] a means for adding advertisements to future diary entries after the goal is achieved;

[1763] means for visualizing said diary entries and advertisements to a user;

[1764] A system including:

[1765] (Claim 2)

[1766] 10. The system of claim 1, further comprising means for using natural language processing to analyze the target data.

[1767] (Claim 3)

[1768] 10. The system of claim 1, further comprising means for selecting advertisements related to said process information from a database.

[1769] "Example 2: Combining Emotion Engines"

[1770] (Claim 1)

[1771] means for receiving goal data and emotion data input by a user;

[1772] means for analyzing the goal data and emotion data and generating process information for achieving the goal;

[1773] means for generating a future diary entry in which the goal is achieved based on the process information and emotion data;

[1774] means for selecting and inserting advertisements related to said diary entries and emotion data;

[1775] means for displaying said diary entries to a user;

[1776] A system including:

[1777] (Claim 2)

[1778] 10. The system of claim 1, further comprising means for using natural language processing to analyze the target data and emotion data.

[1779] (Claim 3)

[1780] 10. The system of claim 1, further comprising means for selecting from a database advertisements that are relevant to the process information and emotion data.

[1781] "Application example 2 when combining emotion engines"

[1782] (Claim 1)

[1783] means for receiving user-entered target data;

[1784] means for analyzing the target data and providing specific guidelines for achieving the target based on the target data;

[1785] means for generating future diary entries in which the goal is achieved based on said course of action;

[1786] means for selecting and inserting advertisements related to said diary entries;

[1787] means for displaying the diary entry and associated advertisements to a user;

[1788] a means for recognizing a user's emotional data and personalizing goal funnels and future diary entries based on the emotional data;

[1789] A system including:

[1790] (Claim 2)

[1791] 10. The system of claim 1, further comprising means for using natural language processing to analyze the target data and emotion data.

[1792] (Claim 3)

[1793] 10. The system of claim 1, further comprising means for selecting advertisements from a database based on said process information and emotion data. [Explanation of symbols]

[1794] 10, 210, 310, 410 Data Processing Systems 12 Data Processing Device 14 Smart Devices 214 Smart Glasses 314 Headset-type terminal 414 Robot< / url:> < / url:> < / url:> < / url:>

Claims

1. means for receiving user-entered target data; means for analyzing the target data and generating process information for achieving the target; means for generating future diary entries in which goals are achieved based on said process information; means for selecting and inserting advertisements related to said diary entries; means for displaying said diary entries to a user; A system including:

2. 10. The system of claim 1, further comprising means for using natural language processing to analyze said target data.

3. 2. The system of claim 1, further comprising means for selecting advertisements related to said process information from a database.

Images