system

Abstract

We provide the system. [Solution] A means for selecting a template according to the category and subcategory, A means of obtaining information to embed in the template, Means for embedding the information in the template and generating a prompt, A system including means for returning the generated prompt to the user.

Description

Technical Field

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

Background Art

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

Prior Art Documents

Patent Documents

[0003]

Patent Document 1

Summary of the Invention

Problems to be Solved by the Invention

[0004] In a modern business environment, it is required to create various documents such as emails, project plans, idea brainstorming, and data analysis reports quickly and efficiently. However, the task of searching for and applying appropriate templates according to each task by oneself requires time and effort and is inefficient, which is an issue.

Means for Solving the Problems

[0005] To solve these problems, the present invention provides the following means: a system including means for selecting a template according to a category and subcategory, means for obtaining information to be embedded in the template, means for embedding the information in the template and generating a prompt, and means for returning the generated prompt to the user. This allows the user to easily and quickly generate the necessary documents and efficiently perform their respective work tasks.

[0006] A "category" is a broad classification of templates requested by users, including email, ideas, plans, and analysis.

[0007] A "subcategory" is a smaller classification within each category, referring to types of templates suited to specific purposes, such as business emails or thank-you emails.

[0008] A "template" is a predefined document model that provides a format for embedding specific information.

[0009] "Information" refers to the specific data and content provided by the user, including items used within the template (e.g., subject, recipient, sender, request details, etc.).

[0010] A "prompt" is the completed document that is generated as a result of filling in information into a template.

[0011] A "server" is a computing system whose role is to receive requests from users, select the appropriate template, fill in the information, and return the generated prompt.

[0012] "User" refers to a user of a system that attempts to generate documents using templates.

[0013] A "system" refers to a set of components that perform a series of processes, including selecting templates based on categories and subcategories, embedding information, and ultimately generating prompts to present to the user. [Brief explanation of the drawing]

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

Embodiments for Carrying Out the Invention

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

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

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

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

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

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

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

[0022] [First Embodiment]

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

[0024] As shown in Figure 1, the data processing system 10 includes a data processing device 12 and a smart device 14. An example of the data processing device 12 is a server.

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

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

[0027] The reception device 38 is equipped with a touch panel 38A and a microphone 38B, etc., and receives user input. The touch panel 38A receives user input by detecting contact with an object (e.g., a pen or finger). The microphone 38B receives user input by detecting the user's voice. The control unit 46A transmits data indicating the user input received by the touch panel 38A and microphone 38B to the data processing device 12. In the data processing device 12, the specific processing unit 290 acquires the data indicating the user input.

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

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

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

[0031] As shown in Figure 2, in the data processing device 12, a specific processing is performed by the processor 28. A specific processing program 56 is stored in the storage 32. The specific processing program 56 is an example of a "program" related to the technology of this disclosure. The processor 28 reads the specific processing program 56 from the storage 32 and executes the read specific processing program 56 on the RAM 30. The specific processing is realized by the processor 28 operating as a specific processing unit 290 according to the specific processing program 56 executed on the RAM 30.

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

[0033] In the smart device 14, the processor 46 performs the reception output processing. The storage 50 stores the reception output program 60. The reception output program 60 is used in conjunction with a specific processing program 56 by the data processing system 10. The processor 46 reads the reception output program 60 from the storage 50 and executes the read reception output program 60 on the RAM 48. The reception output processing is realized by the processor 46 operating as a control unit 46A according to the reception output program 60 executed on the RAM 48.

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

[0035] This invention relates to a system that provides prompt templates for various tasks. This system generates a completed prompt by having a server select an appropriate template based on a user request and fill in the necessary information within that template. The specific operation is described below.

[0036] First, the user accesses the system using a terminal. The user selects a category (e.g., email, ideas, plans, analysis) and a subcategory (e.g., business email, thank-you email, brainstorming) to choose an appropriate template. Furthermore, the user enters the information to be embedded in the template (e.g., subject, recipient, sender name, specific request details, etc.).

[0037] This request is sent from the terminal to the server. Based on the request, the server maintains templates corresponding to each category and subcategory. These templates are predefined document templates that provide a format for embedding information provided by the user.

[0038] The server selects the appropriate template based on the request's category and subcategory. It then embeds the information provided in the request into this template, generating a completed prompt. For example, if a user wants to compose a business email, the following template would be used:

[0039] Example: Business email template

[0040] [subject]

[0041] Subject: {Subject}

[0042] [Main text]

[0043] To: {Recipient Name}

[0044] Thank you for your continued support. This is {sender's name}.

[0045] {Specific request details and communication content}

[0046] Thank you very much for your cooperation.

[0047] Sincerely,

[0048] {Sender's name}

[0049] {contact address}

[0050] Assume the information entered by the user is as follows:

[0051] Subject: Meeting Inquiry

[0052] To: Tanaka

[0053] Sender's name: Sato

[0054] Specific request / communication details: Please schedule a meeting.

[0055] Based on this information, the server embeds a template and generates the following prompt:

[0056] Subject: Meeting Inquiry

[0057] Mr. Tanaka

[0058] Hello, this is Sato.

[0059] Please schedule the meeting.

[0060] Thank you very much for your cooperation.

[0061] Sincerely,

[0062] Sato

[0063] The prompt generated in this way is returned from the server to the terminal and displayed to the user. The user can review this prompt and use it as needed.

[0064] This invention enables users to quickly select the appropriate template and efficiently generate documents with the necessary information embedded. By providing templates tailored to each task, this system significantly improves the user's work efficiency.

[0065] The following describes the processing flow.

[0066] Step 1:

[0067] Users access the system using a terminal and select categories (e.g., email, ideas, plans, analysis) and subcategories (e.g., business email, thank-you email, brainstorming) to choose the appropriate template. Users also input information to be embedded in the template (e.g., subject, recipient, sender, specific request details).

[0068] Step 2:

[0069] The device sends a request to the server that includes the category, subcategory, and information entered by the user.

[0070] Step 3:

[0071] The server parses the received request and selects the appropriate template based on the categories and subcategories included in the request. A template is a predefined document template that provides a format for filling in information.

[0072] Step 4:

[0073] The server extracts user information from the request and embeds that information into the appropriate parts of the selected template. The user-provided information is inserted into the corresponding sections of the template, generating a complete prompt.

[0074] Step 5:

[0075] The server constructs the generated prompt as a response and sends it to the terminal.

[0076] Step 6:

[0077] The terminal displays prompts received from the server to the user. The user can review the displayed prompts and edit and use them as needed.

[0078] Specific example

[0079] User actions (Step 1)

[0080] The user enters the following information:

[0081] Category: Email

[0082] Subcategory: Business Email

[0083] information:

[0084] Subject: Meeting Inquiry

[0085] To: Tanaka

[0086] Sender's name: Sato

[0087] Specific request / communication details: Please schedule a meeting.

[0088] Submitting the request (Step 2)

[0089] The device sends the following request to the server:

[0090] json

[0091] {

[0092] "category": "email",

[0093] "sub_category": "Business email",

[0094] "data": {

[0095] Subject: "Meeting Notification",

[0096] "Recipient": "Tanaka",

[0097] "Sender's name": "Sato",

[0098] "Specific request or message content": "Please schedule the meeting."

[0099] }

[0100] }

[0101] Template selection and embedding (Steps 3 & 4)

[0102] The server extracts the category and subcategory from the request, selects the corresponding template, and embeds the information as follows:

[0103] Subject: Meeting Inquiry

[0104] Mr. Tanaka

[0105] Hello, this is Sato.

[0106] Please schedule the meeting.

[0107] Thank you very much for your cooperation.

[0108] Sincerely,

[0109] Sato

[0110] Prompt return (Step 5)

[0111] The server returns the generated prompt to the terminal.

[0112] Displaying a prompt (Step 6)

[0113] The terminal displays the returned prompt to the user, who then uses it as needed.

[0114] (Example 1)

[0115] Next, we will describe Example 1. In the following description, the data processing device 12 will be referred to as the "server," and the smart device 14 will be referred to as the "terminal."

[0116] Traditional template-based document generation systems required users to manually select a template and input the necessary information to create a document. This process was time-consuming and laborious, making efficient document creation difficult. Furthermore, errors in template selection or input could result in the creation of inappropriate documents. Therefore, there is a need to address these challenges.

[0117] The identification process performed by the identification processing unit 290 of the data processing device 12 in Example 1 is realized by the following means.

[0118] In this invention, the server includes means for a user to access the system using a terminal and select a category and a subcategory; means for the user to input information to be embedded in the corresponding template; means for the server to receive a request from the terminal and search for the corresponding template in a database; means for the server to embed the information provided by the user into the template and generate a prompt statement; and means for the server to send the generated prompt statement to the terminal. This makes it possible for a user to easily select an appropriate template and quickly and accurately generate a document with the necessary information embedded.

[0119] A "user" is someone who accesses the system to select a template and enter information.

[0120] A "terminal" is a digital device (e.g., personal computer, smartphone, tablet, etc.) that a user uses to access a system.

[0121] A "system" is a combination of programs and hardware that select templates, embed information, and generate and return prompt statements.

[0122] A "template" is a document model, providing a format for filling in information.

[0123] A "category" is a broad classification used to categorize templates (e.g., email, ideas, plans, analysis, etc.).

[0124] A "subcategory" is an item that is further classified within a category (e.g., business email, thank-you email, brainstorming, etc.).

[0125] A "server" is a central processing unit that receives requests from terminals, selects templates, embeds information, generates prompt messages, and returns them.

[0126] A "database" is a data storage system that stores templates and user input information, and allows for searching and retrieval of this information as needed.

[0127] A "request" is information and instructions for an action that a user sends to a system.

[0128] A "prompt statement" is the final document generated by embedding the information provided by the user into a template.

[0129] This invention relates to a system for quickly and efficiently generating template documents corresponding to various business tasks. In this system, the process begins with the user accessing the system using a terminal and selecting a category and a subcategory. Specific embodiments are described below.

[0130] First, the user accesses the system's web interface using a device (e.g., personal computer, smartphone, tablet, etc.). The user enters their authentication information on the login screen, and upon successful authentication, is redirected to the home screen. The home screen displays available categories (e.g., email, ideas, planning, analysis, etc.). The user selects their desired category and then selects a subcategory corresponding to that category (e.g., business email, thank-you email, brainstorming, etc.).

[0131] Next, once a subcategory is selected, a form will appear for entering the necessary information for the corresponding template. This form includes the following fields:

[0132] subject

[0133] address

[0134] Sender's name

[0135] Specific details of the request

[0136] The user enters the required information into these fields and clicks the "Submit" button. This sends the entered information from the terminal to the server as an HTTP POST request.

[0137] When the server receives a request, it parses the category and subcategory information included in the request and obtains the corresponding template ID. The server then accesses a database (e.g., MySQL®, PostgreSQL, etc.) and searches for and retrieves the corresponding template from the template table.

[0138] The retrieved template is a predefined document template containing placeholders to be filled in (e.g., {Subject}, {Recipient}, {Sender}, {Specific Request Details}). The server fills in the information provided by the user into these placeholders. Based on the filled-in information, a prompt message is generated.

[0139] As a concrete example, consider a case where the user enters the following information:

[0140] Subject: Meeting Inquiry

[0141] To: Tanaka

[0142] Sender's name: Sato

[0143] Specific request: Please help me schedule a meeting.

[0144] Based on this information, the server generates the following prompt:

[0145] Subject: Meeting Inquiry

[0146] Mr. Tanaka

[0147] Hello, this is Sato.

[0148] Please schedule the meeting.

[0149] Thank you very much for your cooperation.

[0150] Sincerely,

[0151] Sato

[0152] The generated prompt message is returned from the server to the terminal and displayed to the user. The user can review the displayed prompt message and modify or use it as needed.

[0153] As described above, the system of the present invention assists users in efficiently creating template documents. The hardware used includes a server and a terminal, while the software includes a web browser, server-side programs (e.g., Python, Node.js, etc.), and a database. Through specific operating procedures and program processing, it is possible to significantly improve the user's work efficiency.

[0154] The flow of the specific processing in Example 1 will be explained using Figure 11.

[0155] Step 1: Accessing the System

[0156] 1. The user opens a web browser using their device.

[0157] 2. The user enters the system's URL to display the login screen.

[0158] 3. The user enters their authentication information (username and password) and clicks the "Login" button.

[0159] Input: User authentication information (username, password)

[0160] Output: Result indicating whether the user was authenticated.

[0161] Specific operation: A click event occurs on the login button, and authentication information is sent to the server. The server compares the authentication information with the database and returns the authentication result.

[0162] Step 2: Selecting Categories and Subcategories

[0163] 1. The user is redirected to the home screen, where available categories (e.g., email, ideas, planning, analysis) are displayed.

[0164] 2. The user clicks on the desired category.

[0165] 3. The subcategories of the selected category (e.g., business email, thank-you email, brainstorming, etc.) will be displayed.

[0166] 4. The user clicks on the desired subcategory.

[0167] Input: Select category and subcategory

[0168] Output: Selected categories and subcategories

[0169] Specific operation: A user click event occurs, and the selected category and subcategory are sent to the server. The server generates a corresponding list of templates and returns it to the terminal.

[0170] Step 3: Entering Information

[0171] 1. Selecting a subcategory will display a form for entering the necessary information for the template.

[0172] 2. The user enters information such as the subject, recipient's name, sender's name, and specific request details into the displayed form.

[0173] 3. The user clicks the "Submit" button.

[0174] Input: Information entered by the user (subject, recipient, sender, specific request details)

[0175] Output: The entered information is sent to the server.

[0176] Specific action: A form submission event occurs, and the entered data is sent to the server as an HTTP POST request.

[0177] Step 4: Receiving the request and selecting a template

[0178] 1. The server receives the request sent from the terminal.

[0179] 2. Analyze the category and subcategory information included in the request.

[0180] 3. The server retrieves the corresponding template ID based on the analysis results.

[0181] 4. The server accesses the database, searches for the relevant template in the template table, and retrieves it.

[0182] Input: Request from the device (category, subcategory information)

[0183] Output: Applicable template

[0184] Specific operation: The server parses the request body and executes a database query to retrieve the template.

[0185] Step 5: Embedding information and generating prompts

[0186] 1. The server searches for placeholders within the retrieved template.

[0187] 2. Embed the information provided by the user into the corresponding placeholder.

[0188] 3. After all the information has been embedded, the server generates the final prompt message.

[0189] Input: Template and user information (subject, recipient, sender, specific request details)

[0190] Output: Generated prompt message

[0191] Specific operation: The server uses regular expressions to replace placeholders and generates a prompt message.

[0192] Step 6: Return and display of prompt statements

[0193] 1. The server sends the generated prompt message to the terminal as an HTTP response.

[0194] 2. The terminal parses the received prompt message and displays it on the web page.

[0195] 3. The user reviews the displayed prompt and makes any necessary modifications or uses.

[0196] Input: Generated prompt message

[0197] Output: Prompt displayed on the terminal

[0198] Specific operation: The server returns the prompt in JSON format, the terminal's JavaScript (registered trademark) parses it, converts it to HTML, and displays it to the user.

[0199] (Application Example 1)

[0200] Next, we will explain Application Example 1. In the following explanation, the data processing device 12 will be referred to as the "server," and the smart device 14 will be referred to as the "terminal."

[0201] In modern factory environments, workers are required to efficiently execute complex work processes. However, there are limitations to checking and using paper-based and manual instruction manuals, often leading to decreased work efficiency. Furthermore, there is a lack of means to quickly provide templated work instructions and real-time work support using smart glasses. As a result, problems such as increased errors and delays in work processes are likely to occur.

[0202] The specific processing performed by the specific processing unit 290 of the data processing device 12 in Application Example 1 is realized by the following means.

[0203] In this invention, the server includes means for selecting templates according to categories and subcategories, means for obtaining information to be embedded in the templates, and means for embedding the information in the templates and generating prompts. This enables workers to request and view work-related prompts using smart glasses. It also enables inputting and manipulating information via voice input and touch panel, and provides real-time instructions for equipment maintenance work and standardized procedures for other business processes.

[0204] A "category" refers to the broad classification of templates, and it is the criterion that the server uses to select the appropriate template based on the request content.

[0205] A "subcategory" is a further subdivision of a category, serving as a criterion for selecting a template that better suits a specific purpose.

[0206] A "template" is a predefined document model that provides a format for users to fill in the information they provide.

[0207] "Means of acquiring information" refers to the interface and processing functions for obtaining the necessary detailed information entered by the user.

[0208] A "prompt" is the final instruction or guide text generated by embedding user-provided information into a specified template.

[0209] "Smart glasses" are a type of wearable device that, when worn by a worker, can display digital information in real time and allow for voice input and touch panel operation.

[0210] "Factory workers" refers to personnel who perform various work processes within a factory and who receive work instructions using smart glasses.

[0211] "Voice input" refers to a method of inputting information using voice, which is achieved through microphones and voice recognition software.

[0212] A "touch panel" is a type of input device in which users input information or perform operations by touching the screen.

[0213] A "business process" refers to a series of activities and procedures carried out within a factory, which are performed in a standardized manner.

[0214] This invention provides a prompt template provision system using smart glasses to streamline business processes within a factory. In this system, a server selects an appropriate template according to the category and subcategory, and generates a prompt by embedding information provided by the user. This generated prompt is then provided in real time to workers wearing smart glasses.

[0215] First, the user (factory worker) puts on smart glasses, selects a template through a designated interface, and enters the necessary information. Input methods include voice input and touch panel. This information is then transmitted to the server via the smart glasses.

[0216] The server selects the appropriate template based on the request content. Multiple types of templates are stored, corresponding to categories and subcategories. For example, if the category is "maintenance" and the subcategory is "equipment inspection," the following specific examples can be expected.

[0217] Example: Prompt template for equipment inspection

[0218] (Equipment Inspection Report)

[0219] Equipment name: {equipment name}

[0220] Worker: {Worker}

[0221] Date: {Date}

[0222] Work details:

[0223] {Work details}

[0224] Points to note:

[0225] Please double-check for any errors after completion.

[0226] Suppose the user enters the following information:

[0227] Equipment name: Conveyor belt

[0228] Worker: Tanaka

[0229] Date: 2023-10-01

[0230] Work details: Check the belt tension and the condition of the rollers.

[0231] Based on this information, the server embeds the above template and generates a prompt like the following.

[0232] (Equipment Inspection Report)

[0233] Equipment name: Conveyor belt

[0234] Worker: Tanaka

[0235] Date: 2023-10-01

[0236] Work details:

[0237] Check the belt tension and the condition of the rollers.

[0238] Points to note:

[0239] Please double-check for any errors after completion.

[0240] The generated prompts are displayed in real time on smart glasses. These smart glasses feature a high-performance display and voice and touch panel input (e.g., Google® Glass®, HoloLens®). Workers can follow the prompts to proceed with their tasks and input and confirm the necessary information.

[0241] The hardware used includes smart glasses, servers, and interface devices. The software includes a prompt generation AI model, speech recognition software, and touch panel operation software.

[0242] This system is expected to streamline factory operations, reduce errors, and improve quality. By providing standardized work instructions in real time, it enables workers to respond quickly and perform tasks with greater precision.

[0243] The flow of a specific process in Application Example 1 will be explained using Figure 12.

[0244] Step 1:

[0245] The user wears smart glasses and selects template categories and subcategories through the interface.

[0246] Input: Category and subcategory

[0247] Output: Selected categories and subcategories

[0248] Operation: The user selects categories and subcategories through voice input or touch panel operation, and that information is displayed on the smart glasses.

[0249] Step 2:

[0250] The user enters specific information (e.g., equipment name, worker name, work date, work details).

[0251] Input: Specific information

[0252] Output: Input information

[0253] Operation: Through voice input or touch panel operation, the user enters specific information for each item into the smart glasses' interface. This information is collected and sent to the server via the smart glasses.

[0254] Step 3:

[0255] The server receives the request and selects the appropriate template based on the category and subcategory.

[0256] Input: Category, subcategory, and specific information

[0257] Output: Selected template

[0258] Operation: The server analyzes the received data and selects the appropriate template from a pre-stored template repository. The selected template is then used in the next processing step.

[0259] Step 4:

[0260] The server embeds the user-provided information into the template and generates a completed prompt.

[0261] Input: Selected template and specific information provided by the user.

[0262] Output: Generated prompt

[0263] Operation: The server populates the selected template with user-provided information in placeholders and generates a complete prompt. For example, the "{equipment name}" part of the template will be populated with input data such as "conveyor belt".

[0264] Step 5:

[0265] The server returns the generated prompt to the smart glasses, allowing the user to view it in real time.

[0266] Input: Generated prompt

[0267] Output: Prompt displayed on smart glasses

[0268] Operation: The server sends the generated prompt to the smart glasses, which then display it on the smart glasses' screen. The user confirms the task through the displayed prompt and takes appropriate action.

[0269] Step 6:

[0270] The user follows the displayed prompts to complete the task and enters supplementary information as needed.

[0271] Input: Prompts displayed on smart glasses, and supplementary information entered as needed.

[0272] Output: Progress information on work execution

[0273] Operation: The user follows the prompts displayed on the smart glasses to complete the task. After completing the task, they may be asked to reconfirm any points or notes and enter supplementary information. This information is also sent to the server via the smart glasses.

[0274] Step 7:

[0275] The server collects supplementary and progress information, and records and analyzes it as needed.

[0276] Input: Supplementary information and progress information

[0277] Output: Recorded and analyzed data

[0278] Operation: The server receives supplementary and progress information provided by the user, stores it in a recording device, and analyzes the data as needed to improve future operations.

[0279] Furthermore, an emotion engine that estimates the user's emotions may be incorporated. That is, the identification processing unit 290 may use the emotion identification model 59 to estimate the user's emotions and perform identification processing using the user's emotions.

[0280] This invention relates to a system that recognizes a user's emotions and provides appropriate prompt templates based on those emotions. The system includes an emotion engine that analyzes emotions from the user's input and dialogue. The emotion engine dynamically changes the content of templates and recommends template selections.

[0281] First, the user accesses the system using a terminal and selects a category (e.g., email, ideas, plans, analysis) and subcategory (e.g., business email, thank-you email, brainstorming) to choose an appropriate template. The user also enters the information to be embedded in the template (e.g., subject, recipient, sender, specific request details).

[0282] This request is sent from the terminal to the server. The server not only selects an appropriate template based on the request content, but also analyzes the user's emotion using an emotion engine. For example, it analyzes which state the emotion is in, such as "joy", "anger", "sadness", etc. from the user's input content.

[0283] Based on the analysis result of the emotion engine, the server performs the following:

[0284] 1. Dynamically change the content of the template: Appropriately change the expressions in the template according to the user's emotion. For example, when the user is in an emotionally sensitive state, change to a more polite expression.

[0285] 2. Recommend template selection: Recommend the most appropriate template based on the user's emotional state. For example, when the user enters content showing gratitude, recommend the "thank-you email" template.

[0286] The following shows specific operation examples:

[0287] Specific example: Use of the emotion engine

[0288] User operation

[0289] The user enters the following information:

[0290] Category: Email

[0291] Sub-category: Business email

[0292] Information:

[0293] Subject: Notice of meeting

[0294] Recipient: Tanaka

[0295] Sender: Sato

[0296] Specific request and contact details: Please adjust the meeting schedule

[0297] Also, assume that the emotion engine analyzes the emotion of "feeling a bit stressed" from the user's input and interaction.

[0298] Template selection and content modification

[0299] The server selects an appropriate template based on the category and subcategory, and embeds the content as follows based on the analysis result of the emotion engine:

[0300] Subject: Meeting Notice

[0301] Dear Mr. Tanaka

[0302] I'm Sato. Thank you for your kind support.

[0303] I fully understand the current situation and would like to quickly adjust the meeting schedule.

[0304] Thank you very much.

[0305] Best regards

[0306] Sato

[0307] The normal template includes, for example, "Please adjust the meeting schedule", but considering the user's emotion, a polite expression like "I fully understand the current situation and would like to quickly adjust the meeting schedule" is added.

[0308] Prompt return

[0309] The server constructs the generated prompt as a response and sends it to the terminal. The terminal displays the returned prompt to the user, and the user can use it as needed.

[0310] This invention enables users to quickly generate appropriate documents that take emotions into consideration. By combining this system with an emotion engine, it becomes possible to respond flexibly according to the user's situation, significantly improving work efficiency.

[0311] The following describes the processing flow.

[0312] Step 1:

[0313] Users access the system using a terminal and select a category (e.g., email, ideas, plans, analysis) and a subcategory (e.g., business email, thank-you email, brainstorming). Users also input information to be embedded in the template (e.g., subject, recipient, sender, specific request details).

[0314] Step 2:

[0315] The device sends a request to the server that includes the category, subcategory, and information entered by the user.

[0316] Step 3:

[0317] The server parses the received request and selects the appropriate template based on the categories and subcategories included in the request.

[0318] Step 4:

[0319] The server uses an emotion engine to analyze the user's emotions from the input content in the request and the conversation history. For example, it can identify emotional states such as "joy," "anger," and "sadness" from the tone of the text and the types of words used.

[0320] Step 5:

[0321] Based on the analysis results of the emotion engine, the server dynamically changes the content of the template. For example, if the user is expressing "anger," the wording in the template will be changed to more cautious expressions. Alternatively, based on the user's emotional state, it may replace the template with one from a different subcategory that is deemed most appropriate.

[0322] Step 6:

[0323] The server extracts user information from the request and embeds it in the dynamically modified template. This generates a complete prompt that is appropriate to the request while also considering the user's feelings.

[0324] Step 7:

[0325] The server constructs the generated prompt as a response and sends it to the terminal.

[0326] Step 8:

[0327] The terminal displays prompts received from the server to the user. The user can review the displayed prompts and edit and use them as needed.

[0328] Specific example

[0329] User actions (Step 1)

[0330] The user enters the following information:

[0331] Category: Email

[0332] Subcategory: Business Email

[0333] information:

[0334] Subject: Meeting Inquiry

[0335] To: Tanaka

[0336] Sender's name: Sato

[0337] Specific request / communication details: Please schedule a meeting.

[0338] Furthermore, the emotion engine analyzes the user's input to determine if they are experiencing "somewhat stressed."

[0339] Submitting the request (Step 2)

[0340] The device sends the following request to the server:

[0341] json

[0342] {

[0343] "category": "email",

[0344] "sub_category": "Business email",

[0345] "data": {

[0346] Subject: "Meeting Notification",

[0347] "Recipient": "Tanaka",

[0348] "Sender's name": "Sato",

[0349] "Specific request or message content": "Please schedule the meeting."

[0350] }

[0351] }

[0352] Template selection and sentiment analysis (Steps 3 & 4)

[0353] The server extracts the category and subcategory from the request and selects the corresponding template. Next, it uses an emotion engine to analyze the user's emotions and determines that they are "somewhat stressed."

[0354] Modify the template content (Step 5)

[0355] Based on the sentiment analysis results, the template content will be dynamically changed as follows:

[0356] Subject: Meeting Inquiry

[0357] Mr. Tanaka

[0358] Hello, this is Sato.

[0359] We fully understand the current situation and would like to promptly schedule a meeting.

[0360] Thank you very much for your cooperation.

[0361] Sincerely,

[0362] Sato

[0363] Information embedding and prompt generation (Step 6)

[0364] The server embeds the user information included in the request into a template and generates a completed prompt like the one shown above.

[0365] Prompt return (Step 7)

[0366] The server constructs the generated prompt as a response and sends it to the terminal.

[0367] Displaying a prompt (Step 8)

[0368] The terminal displays the returned prompt to the user, who then uses it as needed.

[0369] (Example 2)

[0370] Next, we will describe Example 2. In the following description, the data processing device 12 will be referred to as the "server" and the smart device 14 as the "terminal".

[0371] Conventional template generation systems have struggled to create documents that take user emotions into account. Therefore, there is a need for flexible document generation that considers emotions, but the technology to achieve this is lacking. Furthermore, the absence of a function to dynamically change template content according to the user's emotional state makes it difficult to quickly generate appropriate prompt statements.

[0372] The identification process performed by the identification processing unit 290 of the data processing device 12 in Example 2 is realized by the following means.

[0373] In this invention, the server includes means for selecting a template according to a category and a subcategory; means for obtaining information to be embedded in the template; means for embedding the information in the template and generating a prompt statement; means for analyzing the user's input to detect their emotions; means for dynamically changing the content of the template based on the detected emotions; and means for returning the generated prompt statement to the user. This enables the rapid generation of appropriate prompt statements that take the user's emotions into consideration.

[0374] "Category" refers to the type and purpose of a document selected by the user, and is a concept that includes email, idea generation, planning, and information analysis.

[0375] A "subcategory" refers to a further subdivision of a document type or purpose within a category, such as business emails or thank-you emails.

[0376] A "template" refers to a fixed document format used to insert user-generated information, possessing a predefined document structure.

[0377] "Information" refers to data provided by the user to be embedded in the template, and includes elements such as the subject, recipient, sender, and specific request details.

[0378] A "prompt message" refers to a completed document that is generated by embedding a template based on information entered by the user.

[0379] A "server" refers to a computer system that processes requests received from users, selects templates, embeds information, analyzes sentiment, and returns prompt messages.

[0380] An "emotion engine" is a software component that analyzes user input to detect emotions, and it uses natural language processing technology to identify emotions.

[0381] "Dynamic modification" refers to the adaptive, real-time changes to the expressions and content within a template based on the results of user sentiment analysis.

[0382] This invention relates to a system that recognizes a user's emotions and provides appropriate prompt messages based on those emotions. This system includes an emotion engine that analyzes emotions from user input and dialogue, dynamically changing template content and recommending template selections. Specific embodiments are described below.

[0383] Users access the system using a terminal. To select an appropriate template, users first choose a category (e.g., electronic communications, idea generation, planning, information analysis), and then a subcategory (e.g., business email, thank-you email, brainstorming). Users also input information to be embedded in the template (e.g., subject, recipient, sender, specific request details).

[0384] This request is sent from the terminal to the server. The server not only selects an appropriate template based on the request content, but also analyzes the user's emotions using an emotion engine. Specifically, it uses NLP (Natural Language Processing) technology to analyze the user's input to determine which state of emotion they are experiencing, such as "joy," "anger," or "sadness."

[0385] Based on the analysis results of the emotion engine, the server does the following:

[0386] 1. Dynamically change template content: Appropriately change the wording within the template according to the user's emotions. For example, if the user is emotionally sensitive, change the wording to a more polite one.

[0387] 2. Template Selection Recommendation: Based on the user's emotional state, the most appropriate template will be recommended. For example, if the user is entering content expressing gratitude, the "Thank You Email" template will be recommended.

[0388] The following is a specific example of how it works:

[0389] Specific example: Use of an emotion engine

[0390] User actions

[0391] The user enters the following information:

[0392] Category: Electronic Communications

[0393] Subcategory: Business Email

[0394] information:

[0395] Subject: Meeting Inquiry

[0396] To: Tanaka

[0397] Sender's name: Sato

[0398] Specific request / communication details: Please schedule a meeting.

[0399] Furthermore, based on the user's input and dialogue, the emotion engine analyzed the user's emotions and determined that they were "somewhat stressed."

[0400] Template selection and content modification

[0401] The server selects the appropriate template based on the category and subcategory, and then fills in the content based on the sentiment engine's analysis results as follows:

[0402] Subject: Meeting Inquiry

[0403] Mr. Tanaka

[0404] Hello, this is Sato.

[0405] We fully understand the current situation and would like to promptly schedule a meeting.

[0406] Thank you very much for your cooperation.

[0407] Sincerely,

[0408] Sato

[0409] While a typical template might include phrases like "Please schedule a meeting," a more polite expression is added to show consideration for the user's feelings, such as "We fully understand your current situation and would like to schedule a meeting as quickly as possible."

[0410] Prompt return

[0411] The server constructs the generated prompt message as a response and sends it to the terminal. The terminal displays the returned prompt message to the user, who can use it as needed.

[0412] This invention enables users to quickly generate appropriate documents that take emotions into consideration. By combining this system with an emotion engine, it becomes possible to respond flexibly according to the user's situation, significantly improving work efficiency.

[0413] The flow of the specific processing in Example 2 will be explained using Figure 13.

[0414] Step 1:

[0415] The user accesses the terminal. The user uses the terminal to access the system's web application or dedicated software. The input is the system's web page or application's login screen, where the user enters the necessary authentication information to access the system. The output is the display of the dashboard or home screen that the user can access.

[0416] Step 2:

[0417] The user enters the necessary information. To select a template, the user enters a category (e.g., electronic communications, idea generation, planning, information analysis) and a subcategory (e.g., business email, thank-you email). They also enter information such as the subject, recipient, sender, and specific request details. Input is the user entering data into text input fields, and output is the saved information being stored in the device's memory.

[0418] Step 3:

[0419] The terminal sends a request to the server. When the user clicks the submit button on the input form, this input data is sent to the server as an HTTP request. The input is the click event of the submit button, and the output is the HTTP request to the server.

[0420] Step 4:

[0421] The server receives a request. The server analyzes the received request to determine its category, subcategory, subject, recipient, sender, and specific request details. The input is the data received as an HTTP request, and the output is a dataset of each analyzed item.

[0422] Step 5:

[0423] The server analyzes the user's emotions. Using an emotion engine, the server analyzes the user's emotional state based on the input information. NLP techniques are used here to identify emotions such as "joy," "anger," and "sadness." The input is the analyzed dataset, and the output is a result indicating the user's emotional state (e.g., "feeling somewhat stressed").

[0424] Step 6:

[0425] The server dynamically modifies the template content. Based on the analysis results, the server changes specific expressions within the template to match the user's emotions. The input is the emotion analysis results and the selected template, and the output is the dynamically modified template content.

[0426] Step 7:

[0427] The server recommends the most suitable template. Based on the emotional state and the entered category and subcategory, the server recommends the most appropriate template to the user. The input is the emotional analysis result, category, and subcategory, and the output is information about the recommended template.

[0428] Step 8:

[0429] The server sends the generated prompt to the terminal. The server constructs the generated prompt as an HTTP response and sends it to the terminal. The input is a dynamically modified template and the aforementioned dataset, and the output is an HTTP response containing the prompt.

[0430] Step 9:

[0431] The terminal displays the returned prompt message to the user. The terminal displays the prompt message received from the server to the user. The input is the HTTP response from the server, and the output is the display on the user interface.

[0432] Step 10:

[0433] The user reviews and uses the prompt text. The user reviews the displayed prompt text and edits it as needed. The input is the displayed prompt text, and the output is the final reviewed or edited document. The user can then take actions based on this document, such as sending an email.

[0434] (Application Example 2)

[0435] Next, we will explain application example 2. In the following explanation, the data processing device 12 will be referred to as a "server" and the smart device 14 as a "terminal".

[0436] In a factory work environment, fatigue and stress among workers can reduce work efficiency and potentially affect safety. Furthermore, conventional work instruction systems fail to provide instructions that take into account the emotional state of workers, offering only mechanical instructions and thus lacking the ability to respond to human emotions and situations. This invention aims to improve work efficiency and safety by recognizing the emotional state of workers in real time and providing optimal work instructions based on this information.

[0437] The specific processing performed by the specific processing unit 290 of the data processing device 12 in Application Example 2 is realized by the following means.

[0438] In this invention, the server includes means for recognizing the emotional state of a worker, means for acquiring information to be embedded in a template, and means for dynamically modifying the template based on the emotional state. This makes it possible to provide optimal work instructions that take into account the emotional state of the worker.

[0439] A "category" is a classification system used to group multiple pieces of information or data.

[0440] A "subcategory" is a more detailed classification that falls below a category.

[0441] A "template" is a pre-defined form or structure, a format for embedding information.

[0442] "Information" refers to the specific data and content to be embedded in the template.

[0443] A "prompt" is the final document or set of instructions generated by filling in information into a specific template.

[0444] A "system" refers to a series of devices or programs that work together to achieve a function through the coordinated action of multiple means or devices.

[0445] A "worker" is a person who actually performs work in a factory or work environment.

[0446] "Emotional state" refers to the psychological state and emotions of a worker, including states such as stress, fatigue, and joy.

[0447] "To recognize" means to understand and judge emotional states and information.

[0448] "Dynamic modification" means making changes and adjustments in real time according to the situation.

[0449] "To recommend" means to suggest appropriate options or templates.

[0450] This invention is a system that recognizes the emotional state of factory workers in real time and dynamically generates and provides optimal work instruction templates based on that state. This system consists of the following main components.

[0451] System Configuration

[0452] 1. Means for recognizing emotional states:

[0453] To recognize the emotional state of workers, the system uses smartphones and tablets. These devices utilize cameras and microphones to capture the workers' facial expressions and voices, which are then sent to an emotion analysis AI engine (e.g., Microsoft® Azure® Cognitive Services' Emotion API).

[0454] 2. Template selection and information embedding means:

[0455] The server selects an appropriate template based on the emotional state obtained from the emotion analysis AI engine. The template is structured with categories and subcategories, into which the specific information required for the work instructions is embedded.

[0456] 3. Dynamic modification means:

[0457] The server dynamically modifies the template content based on the perceived emotional state. For example, if a worker is tired, it simplifies the instructions and, if necessary, includes an additional message such as "Take a break."

[0458] 4. Means of providing instructions:

[0459] The final generated work instruction template is sent to the factory robot. The instructions are displayed on the factory robot's screen, providing appropriate guidance to the worker.

[0460] Specific examples of hardware and software

[0461] Emotion analysis API: Microsoft Azure Cognitive Services - Emotion API

[0462] Data transmission API: RESTful API

[0463] Hardware: Factory robots with displays (e.g., industrial robots)

[0464] Software: Sentiment analysis AI engine, template generation algorithm, data communication API

[0465] Natural language description of the process

[0466] The server analyzes the worker's emotional state using data acquired from smartphones and tablets. The emotion analysis AI engine processes facial expressions and voice data to identify emotions such as "stress," "fatigue," and "joy." Based on this, the server uses a template selection mechanism to select the optimal work instruction template. Next, a dynamic modification mechanism adjusts the template content according to the emotional state. The final generated work instruction is displayed on the factory robot's display and provided to the worker.

[0467] Specific example

[0468] For example, at the start of the morning shift, a factory robot might greet the worker with "Good morning. Thank you for your cooperation today. Please tell me your current emotional state," and collect emotional data. Based on the collected data, it performs an emotional analysis, and if the worker is tired, it displays instructions such as, "Please perform today's tasks using the simplest possible procedures. Take breaks as needed."

[0469] Example of a prompt

[0470] "A factory worker has entered emotional data. Please create the optimal work instruction template for a worker with an emotional score of 0.4."

[0471] The flow of a specific process in Application Example 2 will be explained using Figure 14.

[0472] Step 1:

[0473] The user enters emotional data.

[0474] Users input their emotional state into a simple form using their smartphone or tablet. This form includes options such as "stress," "fatigue," and "joy." The entered emotional data is sent from the device to the server. Input data: emotional state; Output data: transmitted emotional data.

[0475] Step 2:

[0476] The server analyzes the emotional data.

[0477] The server uses the received emotional data to call an emotion analysis AI engine (Microsoft Azure Cognitive Services - Emotion API). The emotion analysis AI engine analyzes the input emotional data and generates a specific emotion score. Input data: emotional state; Output data: analyzed emotion score.

[0478] Step 3:

[0479] The server selects a template.

[0480] The server selects an appropriate template based on the analyzed sentiment score. It chooses the best template from a predefined set of templates based on categories and subcategories. Input data: sentiment score, category, subcategory; Output data: selected template.

[0481] Step 4:

[0482] The server dynamically modifies the template.

[0483] The server dynamically modifies the content of the selected template based on the sentiment score. For example, if the sentiment score is low, it simplifies the instructions and includes additional messages such as "Take a break" in the template. Input data: sentiment score, template content; Output data: modified template.

[0484] Step 5:

[0485] The server generates and returns the final prompt.

[0486] The server generates a final prompt based on the modified template and returns it to the terminal. The terminal receives this prompt and displays it on the factory robot's display. Input data: modified template, Output data: final prompt.

[0487] Step 6:

[0488] The terminal displays the work instructions.

[0489] The terminal sends the received prompt to the factory robot, which displays it on the robot's screen. The worker then performs the task according to the instructions displayed. Input data: final prompt; Output data: displayed work instructions.

[0490] The specific processing unit 290 transmits the result of the specific processing to the smart device 14. In the smart device 14, the control unit 46A causes the output device 40 to output the result of the specific processing. The microphone 38B acquires audio indicating user input for the result of the specific processing. The control unit 46A transmits the audio data indicating user input acquired by the microphone 38B to the data processing device 12. In the data processing device 12, the specific processing unit 290 acquires the audio data.

[0491] Data generation model 58 is a so-called generative AI (Artificial Intelligence). An example of data generation model 58 is ChatGPT (registered trademark) (Internet search).<URL: https: / / openai.com / blog / chatgpt> ), Gemini (registered trademark) (Internet search) <url: https: gemini.google.com ?hl="ja">Examples of generative AI include the following. The data generation model 58 is obtained by performing deep learning on a neural network. The data generation model 58 is input with prompts containing instructions, and with inference data such as audio data representing speech, text data representing text, and image data representing images. The data generation model 58 infers from the input inference data according to the instructions indicated by the prompts, and outputs the inference results in data formats such as audio data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization.

[0492] In the above embodiment, an example was given in which specific processing is performed by the data processing device 12, but the technology of this disclosure is not limited thereto, and the specific processing may also be performed by the smart device 14.

[0493] [Second Embodiment]

[0494] Figure 3 shows an example of the configuration of the data processing system 210 according to the second embodiment.

[0495] As shown in Figure 3, the data processing system 210 includes a data processing device 12 and smart glasses 214. An example of the data processing device 12 is a server.

[0496] The data processing device 12 comprises a computer 22, a database 24, and a communication interface 26. The computer 22 is an example of a "computer" related to the technology of this disclosure. The computer 22 comprises a processor 28, RAM 30, and storage 32. The processor 28, RAM 30, and storage 32 are connected to a bus 34. The database 24 and the communication interface 26 are also connected to the bus 34. The communication interface 26 is connected to a network 54. An example of the network 54 is a WAN (Wide Area Network) and / or a LAN (Local Area Network).

[0497] The smart glasses 214 include a computer 36, a microphone 238, a speaker 240, a camera 42, and a communication interface 44. The computer 36 includes a processor 46, RAM 48, and storage 50. The processor 46, RAM 48, and storage 50 are connected to a bus 52. The microphone 238, speaker 240, and camera 42 are also connected to the bus 52.

[0498] The microphone 238 receives voice signals from the user 20 and receives instructions from the user 20. The microphone 238 captures the voice signals from the user 20, converts the captured voice into audio data, and outputs it to the processor 46. The speaker 240 outputs audio according to the instructions from the processor 46.

[0499] Camera 42 is a small digital camera equipped with an optical system including a lens, aperture, and shutter, and an image sensor such as a CMOS (Complementary Metal-Oxide-Semiconductor) image sensor or a CCD (Charge Coupled Device) image sensor, and captures images of the area around the user 20 (for example, an imaging range defined by a field of view equivalent to the width of a typical healthy person's field of vision).

[0500] Communication interface 44 is connected to network 54. Communication interfaces 44 and 26 are responsible for the exchange of various information between processor 46 and processor 28 via network 54. The exchange of various information between processor 46 and processor 28 using communication interfaces 44 and 26 is performed in a secure manner.

[0501] Figure 4 shows an example of the main functions of the data processing device 12 and the smart glasses 214. As shown in Figure 4, the data processing device 12 performs specific processing using the processor 28. The storage 32 stores the specific processing program 56.

[0502] The specific processing program 56 is an example of a "program" relating to the technology of this disclosure. The processor 28 reads the specific processing program 56 from the storage 32 and executes the read specific processing program 56 on the RAM 30. The specific processing is realized by the processor 28 operating as a specific processing unit 290 in accordance with the specific processing program 56 executed on the RAM 30.

[0503] The storage 32 stores the data generation model 58 and the emotion identification model 59. The data generation model 58 and the emotion identification model 59 are used by the identification processing unit 290.

[0504] In the smart glasses 214, the processor 46 performs the reception output processing. The storage 50 stores the reception output program 60. The processor 46 reads the reception output program 60 from the storage 50 and executes the read reception output program 60 on the RAM 48. The reception output processing is realized by the processor 46 operating as a control unit 46A according to the reception output program 60 executed on the RAM 48.

[0505] Next, the identification processing performed by the identification processing unit 290 of the data processing device 12 will be described. In the following description, the data processing device 12 will be referred to as the "server" and the smart glasses 214 will be referred to as the "terminal".

[0506] This invention relates to a system that provides prompt templates for various tasks. This system generates a completed prompt by having a server select an appropriate template based on a user request and fill in the necessary information within that template. The specific operation is described below.

[0507] First, the user accesses the system using a terminal. The user selects a category (e.g., email, ideas, plans, analysis) and a subcategory (e.g., business email, thank-you email, brainstorming) to choose an appropriate template. Furthermore, the user enters the information to be embedded in the template (e.g., subject, recipient, sender name, specific request details, etc.).

[0508] This request is sent from the terminal to the server. Based on the request, the server maintains templates corresponding to each category and subcategory. These templates are predefined document templates that provide a format for embedding information provided by the user.

[0509] The server selects the appropriate template based on the request's category and subcategory. It then embeds the information provided in the request into this template, generating a completed prompt. For example, if a user wants to compose a business email, the following template would be used:

[0510] Example: Business email template

[0511] [subject]

[0512] Subject: {Subject}

[0513] [Main text]

[0514] To: {Recipient Name}

[0515] Thank you for your continued support. This is {sender's name}.

[0516] {Specific request details and communication content}

[0517] Thank you very much for your cooperation.

[0518] Sincerely,

[0519] {Sender's name}

[0520] {contact address}

[0521] Assume the information entered by the user is as follows:

[0522] Subject: Meeting Inquiry

[0523] To: Tanaka

[0524] Sender's name: Sato

[0525] Specific request / communication details: Please schedule a meeting.

[0526] Based on this information, the server embeds a template and generates the following prompt:

[0527] Subject: Meeting Inquiry

[0528] Mr. Tanaka

[0529] Hello, this is Sato.

[0530] Please schedule the meeting.

[0531] Thank you very much for your cooperation.

[0532] Sincerely,

[0533] Sato

[0534] The prompt generated in this way is returned from the server to the terminal and displayed to the user. The user can review this prompt and use it as needed.

[0535] This invention enables users to quickly select the appropriate template and efficiently generate documents with the necessary information embedded. By providing templates tailored to each task, this system significantly improves the user's work efficiency.

[0536] The following describes the processing flow.

[0537] Step 1:

[0538] Users access the system using a terminal and select categories (e.g., email, ideas, plans, analysis) and subcategories (e.g., business email, thank-you email, brainstorming) to choose the appropriate template. Users also input information to be embedded in the template (e.g., subject, recipient, sender, specific request details).

[0539] Step 2:

[0540] The device sends a request to the server that includes the category, subcategory, and information entered by the user.

[0541] Step 3:

[0542] The server parses the received request and selects the appropriate template based on the categories and subcategories included in the request. A template is a predefined document template that provides a format for filling in information.

[0543] Step 4:

[0544] The server extracts user information from the request and embeds that information into the appropriate parts of the selected template. The user-provided information is inserted into the corresponding sections of the template, generating a complete prompt.

[0545] Step 5:

[0546] The server constructs the generated prompt as a response and sends it to the terminal.

[0547] Step 6:

[0548] The terminal displays prompts received from the server to the user. The user can review the displayed prompts and edit and use them as needed.

[0549] Specific example

[0550] User actions (Step 1)

[0551] The user enters the following information:

[0552] Category: Email

[0553] Subcategory: Business Email

[0554] information:

[0555] Subject: Meeting Inquiry

[0556] To: Tanaka

[0557] Sender's name: Sato

[0558] Specific request / communication details: Please schedule a meeting.

[0559] Submitting the request (Step 2)

[0560] The device sends the following request to the server:

[0561] json

[0562] {

[0563] "category": "email",

[0564] "sub_category": "Business email",

[0565] "data": {

[0566] Subject: "Meeting Notification",

[0567] "Recipient": "Tanaka",

[0568] "Sender's name": "Sato",

[0569] "Specific request or message content": "Please schedule the meeting."

[0570] }

[0571] }

[0572] Template selection and embedding (Steps 3 & 4)

[0573] The server extracts the category and subcategory from the request, selects the corresponding template, and embeds the information as follows:

[0574] Subject: Meeting Inquiry

[0575] Mr. Tanaka

[0576] Hello, this is Sato.

[0577] Please schedule the meeting.

[0578] Thank you very much for your cooperation.

[0579] Sincerely,

[0580] Sato

[0581] Prompt return (Step 5)

[0582] The server returns the generated prompt to the terminal.

[0583] Displaying a prompt (Step 6)

[0584] The terminal displays the returned prompt to the user, who then uses it as needed.

[0585] (Example 1)

[0586] Next, we will describe Example 1. In the following description, the data processing device 12 will be referred to as the "server," and the smart glasses 214 will be referred to as the "terminal."

[0587] Traditional template-based document generation systems required users to manually select a template and input the necessary information to create a document. This process was time-consuming and laborious, making efficient document creation difficult. Furthermore, errors in template selection or input could result in the creation of inappropriate documents. Therefore, there is a need to address these challenges.

[0588] The identification process performed by the identification processing unit 290 of the data processing device 12 in Example 1 is realized by the following means.

[0589] In this invention, the server includes means for a user to access the system using a terminal and select a category and a subcategory; means for the user to input information to be embedded in the corresponding template; means for the server to receive a request from the terminal and search for the corresponding template in a database; means for the server to embed the information provided by the user into the template and generate a prompt statement; and means for the server to send the generated prompt statement to the terminal. This makes it possible for a user to easily select an appropriate template and quickly and accurately generate a document with the necessary information embedded.

[0590] A "user" is someone who accesses the system to select a template and enter information.

[0591] A "terminal" is a digital device (e.g., personal computer, smartphone, tablet, etc.) that a user uses to access a system.

[0592] A "system" is a combination of programs and hardware that select templates, embed information, and generate and return prompt statements.

[0593] A "template" is a document model, providing a format for filling in information.

[0594] A "category" is a broad classification used to categorize templates (e.g., email, ideas, plans, analysis, etc.).

[0595] A "subcategory" is an item that is further classified within a category (e.g., business email, thank-you email, brainstorming, etc.).

[0596] A "server" is a central processing unit that receives requests from terminals, selects templates, embeds information, generates prompt messages, and returns them.

[0597] A "database" is a data storage system that stores templates and user input information, and allows for searching and retrieval of this information as needed.

[0598] A "request" is information and instructions for an action that a user sends to a system.

[0599] A "prompt statement" is the final document generated by embedding the information provided by the user into a template.

[0600] This invention relates to a system for quickly and efficiently generating template documents corresponding to various business tasks. In this system, the process begins with the user accessing the system using a terminal and selecting a category and a subcategory. Specific embodiments are described below.

[0601] First, the user accesses the system's web interface using a device (e.g., personal computer, smartphone, tablet, etc.). The user enters their authentication information on the login screen, and upon successful authentication, is redirected to the home screen. The home screen displays available categories (e.g., email, ideas, planning, analysis, etc.). The user selects their desired category and then selects a subcategory corresponding to that category (e.g., business email, thank-you email, brainstorming, etc.).

[0602] Next, once a subcategory is selected, a form will appear for entering the necessary information for the corresponding template. This form includes the following fields:

[0603] subject

[0604] address

[0605] Sender's name

[0606] Specific details of the request

[0607] The user enters the required information into these fields and clicks the "Submit" button. This sends the entered information from the terminal to the server as an HTTP POST request.

[0608] When the server receives a request, it parses the category and subcategory information included in the request and obtains the corresponding template ID. The server then accesses the database (e.g., MySQL, PostgreSQL, etc.) and searches for and retrieves the corresponding template from the template table.

[0609] The retrieved template is a predefined document template containing placeholders to be filled in (e.g., {Subject}, {Recipient}, {Sender}, {Specific Request Details}). The server fills in the information provided by the user into these placeholders. Based on the filled-in information, a prompt message is generated.

[0610] As a concrete example, consider a case where the user enters the following information:

[0611] Subject: Meeting Inquiry

[0612] To: Tanaka

[0613] Sender's name: Sato

[0614] Specific request: Please help me schedule a meeting.

[0615] Based on this information, the server generates the following prompt:

[0616] Subject: Meeting Inquiry

[0617] Mr. Tanaka

[0618] Hello, this is Sato.

[0619] Please schedule the meeting.

[0620] Thank you very much for your cooperation.

[0621] Sincerely,

[0622] Sato

[0623] The generated prompt message is returned from the server to the terminal and displayed to the user. The user can review the displayed prompt message and modify or use it as needed.

[0624] As described above, the system of the present invention assists users in efficiently creating template documents. The hardware used includes a server and a terminal, while the software includes a web browser, server-side programs (e.g., Python, Node.js, etc.), and a database. Through specific operating procedures and program processing, it is possible to significantly improve the user's work efficiency.

[0625] The flow of the specific processing in Example 1 will be explained using Figure 11.

[0626] Step 1: Accessing the System

[0627] 1. The user opens a web browser using their device.

[0628] 2. The user enters the system's URL to display the login screen.

[0629] 3. The user enters their authentication information (username and password) and clicks the "Login" button.

[0630] Input: User authentication information (username, password)

[0631] Output: Result indicating whether the user was authenticated.

[0632] Specific operation: A click event occurs on the login button, and authentication information is sent to the server. The server compares the authentication information with the database and returns the authentication result.

[0633] Step 2: Selecting Categories and Subcategories

[0634] 1. The user is redirected to the home screen, where available categories (e.g., email, ideas, planning, analysis) are displayed.

[0635] 2. The user clicks on the desired category.

[0636] 3. The subcategories of the selected category (e.g., business email, thank-you email, brainstorming, etc.) will be displayed.

[0637] 4. The user clicks on the desired subcategory.

[0638] Input: Select category and subcategory

[0639] Output: Selected categories and subcategories

[0640] Specific operation: A user click event occurs, and the selected category and subcategory are sent to the server. The server generates a corresponding list of templates and returns it to the terminal.

[0641] Step 3: Entering Information

[0642] 1. Selecting a subcategory will display a form for entering the necessary information for the template.

[0643] 2. The user enters information such as the subject, recipient's name, sender's name, and specific request details into the displayed form.

[0644] 3. The user clicks the "Submit" button.

[0645] Input: Information entered by the user (subject, recipient, sender, specific request details)

[0646] Output: The entered information is sent to the server.

[0647] Specific action: A form submission event occurs, and the entered data is sent to the server as an HTTP POST request.

[0648] Step 4: Receiving the request and selecting a template

[0649] 1. The server receives the request sent from the terminal.

[0650] 2. Analyze the category and subcategory information included in the request.

[0651] 3. The server retrieves the corresponding template ID based on the analysis results.

[0652] 4. The server accesses the database, searches for the relevant template in the template table, and retrieves it.

[0653] Input: Request from the device (category, subcategory information)

[0654] Output: Applicable template

[0655] Specific operation: The server parses the request body and executes a database query to retrieve the template.

[0656] Step 5: Embedding information and generating prompts

[0657] 1. The server searches for placeholders within the retrieved template.

[0658] 2. Embed the information provided by the user into the corresponding placeholder.

[0659] 3. After all the information has been embedded, the server generates the final prompt message.

[0660] Input: Template and user information (subject, recipient, sender, specific request details)

[0661] Output: Generated prompt message

[0662] Specific operation: The server uses regular expressions to replace placeholders and generates a prompt message.

[0663] Step 6: Return and display of prompt statements

[0664] 1. The server sends the generated prompt message to the terminal as an HTTP response.

[0665] 2. The terminal parses the received prompt message and displays it on the web page.

[0666] 3. The user reviews the displayed prompt and makes any necessary modifications or uses.

[0667] Input: Generated prompt message

[0668] Output: Prompt displayed on the terminal

[0669] Specific operation: The server returns the prompt in JSON format, the terminal's JavaScript parses it, converts it to HTML, and displays it to the user.

[0670] (Application Example 1)

[0671] Next, we will explain Application Example 1. In the following explanation, the data processing device 12 will be referred to as the "server," and the smart glasses 214 will be referred to as the "terminal."

[0672] In modern factory environments, workers are required to efficiently execute complex work processes. However, there are limitations to checking and using paper-based and manual instruction manuals, often leading to decreased work efficiency. Furthermore, there is a lack of means to quickly provide templated work instructions and real-time work support using smart glasses. As a result, problems such as increased errors and delays in work processes are likely to occur.

[0673] The specific processing performed by the specific processing unit 290 of the data processing device 12 in Application Example 1 is realized by the following means.

[0674] In this invention, the server includes means for selecting templates according to categories and subcategories, means for obtaining information to be embedded in the templates, and means for embedding the information in the templates and generating prompts. This enables workers to request and view work-related prompts using smart glasses. It also enables inputting and manipulating information via voice input and touch panel, and provides real-time instructions for equipment maintenance work and standardized procedures for other business processes.

[0675] A "category" refers to the broad classification of templates, and it is the criterion that the server uses to select the appropriate template based on the request content.

[0676] A "subcategory" is a further subdivision of a category, serving as a criterion for selecting a template that better suits a specific purpose.

[0677] A "template" is a predefined document model that provides a format for users to fill in the information they provide.

[0678] "Means of acquiring information" refers to the interface and processing functions for obtaining the necessary detailed information entered by the user.

[0679] A "prompt" is the final instruction or guide text generated by embedding user-provided information into a specified template.

[0680] "Smart glasses" are a type of wearable device that, when worn by a worker, can display digital information in real time and allow for voice input and touch panel operation.

[0681] "Factory workers" refers to personnel who perform various work processes within a factory and who receive work instructions using smart glasses.

[0682] "Voice input" refers to a method of inputting information using voice, which is achieved through microphones and voice recognition software.

[0683] A "touch panel" is a type of input device in which users input information or perform operations by touching the screen.

[0684] A "business process" refers to a series of activities and procedures carried out within a factory, which are performed in a standardized manner.

[0685] This invention provides a prompt template provision system using smart glasses to streamline business processes within a factory. In this system, a server selects an appropriate template according to the category and subcategory, and generates a prompt by embedding information provided by the user. This generated prompt is then provided in real time to workers wearing smart glasses.

[0686] First, the user (factory worker) puts on smart glasses, selects a template through a designated interface, and enters the necessary information. Input methods include voice input and touch panel. This information is then transmitted to the server via the smart glasses.

[0687] The server selects the appropriate template based on the request content. Multiple types of templates are stored, corresponding to categories and subcategories. For example, if the category is "maintenance" and the subcategory is "equipment inspection," the following specific examples can be expected.

[0688] Example: Prompt template for equipment inspection

[0689] (Equipment Inspection Report)

[0690] Equipment name: {equipment name}

[0691] Worker: {Worker}

[0692] Date: {Date}

[0693] Work details:

[0694] {Work details}

[0695] Points to note:

[0696] Please double-check for any errors after completion.

[0697] Suppose the user enters the following information:

[0698] Equipment name: Conveyor belt

[0699] Worker: Tanaka

[0700] Date: 2023-10-01

[0701] Work details: Check the belt tension and the condition of the rollers.

[0702] Based on this information, the server embeds the above template and generates a prompt like the following.

[0703] (Equipment Inspection Report)

[0704] Equipment name: Conveyor belt

[0705] Worker: Tanaka

[0706] Date: 2023-10-01

[0707] Work details:

[0708] Check the belt tension and the condition of the rollers.

[0709] Points to note:

[0710] Please double-check for any errors after completion.

[0711] The generated prompts are displayed in real time on smart glasses. These smart glasses feature a high-performance display and voice and touch panel input (e.g., Google Glass, HoloLens). Workers can follow the prompts to proceed with their tasks and input and confirm the necessary information.

[0712] The hardware used includes smart glasses, servers, and interface devices. The software includes a prompt generation AI model, speech recognition software, and touch panel operation software.

[0713] This system is expected to streamline factory operations, reduce errors, and improve quality. By providing standardized work instructions in real time, it enables workers to respond quickly and perform tasks with greater precision.

[0714] The flow of a specific process in Application Example 1 will be explained using Figure 12.

[0715] Step 1:

[0716] The user wears smart glasses and selects template categories and subcategories through the interface.

[0717] Input: Category and subcategory

[0718] Output: Selected categories and subcategories

[0719] Operation: The user selects categories and subcategories through voice input or touch panel operation, and that information is displayed on the smart glasses.

[0720] Step 2:

[0721] The user enters specific information (e.g., equipment name, worker name, work date, work details).

[0722] Input: Specific information

[0723] Output: Input information

[0724] Operation: Through voice input or touch panel operation, the user enters specific information for each item into the smart glasses' interface. This information is collected and sent to the server via the smart glasses.

[0725] Step 3:

[0726] The server receives the request and selects the appropriate template based on the category and subcategory.

[0727] Input: Category, subcategory, and specific information

[0728] Output: Selected template

[0729] Operation: The server analyzes the received data and selects the appropriate template from a pre-stored template repository. The selected template is then used in the next processing step.

[0730] Step 4:

[0731] The server embeds the user-provided information into the template and generates a completed prompt.

[0732] Input: Selected template and specific information provided by the user.

[0733] Output: Generated prompt

[0734] Operation: The server populates the selected template with user-provided information in placeholders and generates a complete prompt. For example, the "{equipment name}" part of the template will be populated with input data such as "conveyor belt".

[0735] Step 5:

[0736] The server returns the generated prompt to the smart glasses, allowing the user to view it in real time.

[0737] Input: Generated prompt

[0738] Output: Prompt displayed on smart glasses

[0739] Operation: The server sends the generated prompt to the smart glasses, which then display it on the smart glasses' screen. The user confirms the task through the displayed prompt and takes appropriate action.

[0740] Step 6:

[0741] The user follows the displayed prompts to complete the task and enters supplementary information as needed.

[0742] Input: Prompts displayed on smart glasses, and supplementary information entered as needed.

[0743] Output: Progress information on work execution

[0744] Operation: The user follows the prompts displayed on the smart glasses to complete the task. After completing the task, they may be asked to reconfirm any points or notes and enter supplementary information. This information is also sent to the server via the smart glasses.

[0745] Step 7:

[0746] The server collects supplementary and progress information, and records and analyzes it as needed.

[0747] Input: Supplementary information and progress information

[0748] Output: Recorded and analyzed data

[0749] Operation: The server receives supplementary and progress information provided by the user, stores it in a recording device, and analyzes the data as needed to improve future operations.

[0750] Furthermore, an emotion engine that estimates the user's emotions may be incorporated. That is, the identification processing unit 290 may use the emotion identification model 59 to estimate the user's emotions and perform identification processing using the user's emotions.

[0751] This invention relates to a system that recognizes a user's emotions and provides appropriate prompt templates based on those emotions. The system includes an emotion engine that analyzes emotions from the user's input and dialogue. The emotion engine dynamically changes the content of templates and recommends template selections.

[0752] First, the user accesses the system using a terminal and selects a category (e.g., email, ideas, plans, analysis) and subcategory (e.g., business email, thank-you email, brainstorming) to choose an appropriate template. The user also enters the information to be embedded in the template (e.g., subject, recipient, sender, specific request details).

[0753] This request is sent from the terminal to the server. The server not only selects the appropriate template based on the request content, but also analyzes the user's emotions using an emotion engine. For example, it analyzes the user's input to determine which emotion state they are in, such as "joy," "anger," or "sadness."

[0754] Based on the analysis results of the emotion engine, the server does the following:

[0755] 1. Dynamically change template content: Appropriately change the wording within the template according to the user's emotions. For example, if the user is emotionally sensitive, change the wording to a more polite one.

[0756] 2. Template Selection Recommendation: Based on the user's emotional state, the most appropriate template will be recommended. For example, if the user is entering content expressing gratitude, the "Thank You Email" template will be recommended.

[0757] The following is a specific example of how it works:

[0758] Specific example: Use of an emotion engine

[0759] User actions

[0760] The user enters the following information:

[0761] Category: Email

[0762] Subcategory: Business Email

[0763] information:

[0764] Subject: Meeting Inquiry

[0765] To: Tanaka

[0766] Sender's name: Sato

[0767] Specific request / communication details: Please schedule a meeting.

[0768] Furthermore, based on the user's input and dialogue, the emotion engine analyzed the user's emotions and determined that they were "somewhat stressed."

[0769] Template selection and content modification

[0770] The server selects the appropriate template based on the category and subcategory, and then fills in the content based on the sentiment engine's analysis results as follows:

[0771] Subject: Meeting Inquiry

[0772] Mr. Tanaka

[0773] Hello, this is Sato.

[0774] We fully understand the current situation and would like to promptly schedule a meeting.

[0775] Thank you very much for your cooperation.

[0776] Sincerely,

[0777] Sato

[0778] While a typical template might include phrases like "Please schedule a meeting," a more polite expression is added to show consideration for the user's feelings, such as "We fully understand your current situation and would like to schedule a meeting as quickly as possible."

[0779] Prompt return

[0780] The server constructs the generated prompt as a response and sends it to the terminal. The terminal displays the returned prompt to the user, who can use it as needed.

[0781] This invention enables users to quickly generate appropriate documents that take emotions into consideration. By combining this system with an emotion engine, it becomes possible to respond flexibly according to the user's situation, significantly improving work efficiency.

[0782] The following describes the processing flow.

[0783] Step 1:

[0784] Users access the system using a terminal and select a category (e.g., email, ideas, plans, analysis) and a subcategory (e.g., business email, thank-you email, brainstorming). Users also input information to be embedded in the template (e.g., subject, recipient, sender, specific request details).

[0785] Step 2:

[0786] The device sends a request to the server that includes the category, subcategory, and information entered by the user.

[0787] Step 3:

[0788] The server parses the received request and selects the appropriate template based on the categories and subcategories included in the request.

[0789] Step 4:

[0790] The server uses an emotion engine to analyze the user's emotions from the input content in the request and the conversation history. For example, it can identify emotional states such as "joy," "anger," and "sadness" from the tone of the text and the types of words used.

[0791] Step 5:

[0792] Based on the analysis results of the emotion engine, the server dynamically changes the content of the template. For example, if the user is expressing "anger," the wording in the template will be changed to more cautious expressions. Alternatively, based on the user's emotional state, it may replace the template with one from a different subcategory that is deemed most appropriate.

[0793] Step 6:

[0794] The server extracts user information from the request and embeds it in the dynamically modified template. This generates a complete prompt that is appropriate to the request while also considering the user's feelings.

[0795] Step 7:

[0796] The server constructs the generated prompt as a response and sends it to the terminal.

[0797] Step 8:

[0798] The terminal displays prompts received from the server to the user. The user can review the displayed prompts and edit and use them as needed.

[0799] Specific example

[0800] User actions (Step 1)

[0801] The user enters the following information:

[0802] Category: Email

[0803] Subcategory: Business Email

[0804] information:

[0805] Subject: Meeting Inquiry

[0806] To: Tanaka

[0807] Sender's name: Sato

[0808] Specific request / communication details: Please schedule a meeting.

[0809] Furthermore, the emotion engine analyzes the user's input to determine if they are experiencing "somewhat stressed."

[0810] Submitting the request (Step 2)

[0811] The device sends the following request to the server:

[0812] json

[0813] {

[0814] "category": "email",

[0815] "sub_category": "Business email",

[0816] "data": {

[0817] Subject: "Meeting Notification",

[0818] "Recipient": "Tanaka",

[0819] "Sender's name": "Sato",

[0820] "Specific request or message content": "Please schedule the meeting."

[0821] }

[0822] }

[0823] Template selection and sentiment analysis (Steps 3 & 4)

[0824] The server extracts the category and subcategory from the request and selects the corresponding template. Next, it uses an emotion engine to analyze the user's emotions and determines that they are "somewhat stressed."

[0825] Modify the template content (Step 5)

[0826] Based on the sentiment analysis results, the template content will be dynamically changed as follows:

[0827] Subject: Meeting Inquiry

[0828] Mr. Tanaka

[0829] Hello, this is Sato.

[0830] We fully understand the current situation and would like to promptly schedule a meeting.

[0831] Thank you very much for your cooperation.

[0832] Sincerely,

[0833] Sato

[0834] Information embedding and prompt generation (Step 6)

[0835] The server embeds the user information included in the request into a template and generates a completed prompt like the one shown above.

[0836] Prompt return (Step 7)

[0837] The server constructs the generated prompt as a response and sends it to the terminal.

[0838] Displaying a prompt (Step 8)

[0839] The terminal displays the returned prompt to the user, who then uses it as needed.

[0840] (Example 2)

[0841] Next, we will describe Example 2. In the following description, the data processing device 12 will be referred to as the "server" and the smart glasses 214 will be referred to as the "terminal".

[0842] Conventional template generation systems have struggled to create documents that take user emotions into account. Therefore, there is a need for flexible document generation that considers emotions, but the technology to achieve this is lacking. Furthermore, the absence of a function to dynamically change template content according to the user's emotional state makes it difficult to quickly generate appropriate prompt statements.

[0843] The identification process performed by the identification processing unit 290 of the data processing device 12 in Example 2 is realized by the following means.

[0844] In this invention, the server includes means for selecting a template according to a category and a subcategory; means for obtaining information to be embedded in the template; means for embedding the information in the template and generating a prompt statement; means for analyzing the user's input to detect their emotions; means for dynamically changing the content of the template based on the detected emotions; and means for returning the generated prompt statement to the user. This enables the rapid generation of appropriate prompt statements that take the user's emotions into consideration.

[0845] "Category" refers to the type and purpose of a document selected by the user, and is a concept that includes email, idea generation, planning, and information analysis.

[0846] A "subcategory" refers to a further subdivision of a document type or purpose within a category, such as business emails or thank-you emails.

[0847] A "template" refers to a fixed document format used to insert user-generated information, possessing a predefined document structure.

[0848] "Information" refers to data provided by the user to be embedded in the template, and includes elements such as the subject, recipient, sender, and specific request details.

[0849] A "prompt message" refers to a completed document that is generated by embedding a template based on information entered by the user.

[0850] A "server" refers to a computer system that processes requests received from users, selects templates, embeds information, analyzes sentiment, and returns prompt messages.

[0851] An "emotion engine" is a software component that analyzes user input to detect emotions, and it uses natural language processing technology to identify emotions.

[0852] "Dynamic modification" refers to the adaptive, real-time changes to the expressions and content within a template based on the results of user sentiment analysis.

[0853] This invention relates to a system that recognizes a user's emotions and provides appropriate prompt messages based on those emotions. This system includes an emotion engine that analyzes emotions from user input and dialogue, dynamically changing template content and recommending template selections. Specific embodiments are described below.

[0854] Users access the system using a terminal. To select an appropriate template, users first choose a category (e.g., electronic communications, idea generation, planning, information analysis), and then a subcategory (e.g., business email, thank-you email, brainstorming). Users also input information to be embedded in the template (e.g., subject, recipient, sender, specific request details).

[0855] This request is sent from the terminal to the server. The server not only selects an appropriate template based on the request content, but also analyzes the user's emotions using an emotion engine. Specifically, it uses NLP (Natural Language Processing) technology to analyze the user's input to determine which state of emotion they are experiencing, such as "joy," "anger," or "sadness."

[0856] Based on the analysis results of the emotion engine, the server does the following:

[0857] 1. Dynamically change template content: Appropriately change the wording within the template according to the user's emotions. For example, if the user is emotionally sensitive, change the wording to a more polite one.

[0858] 2. Template Selection Recommendation: Based on the user's emotional state, the most appropriate template will be recommended. For example, if the user is entering content expressing gratitude, the "Thank You Email" template will be recommended.

[0859] The following is a specific example of how it works:

[0860] Specific example: Use of an emotion engine

[0861] User actions

[0862] The user enters the following information:

[0863] Category: Electronic Communications

[0864] Subcategory: Business Email

[0865] information:

[0866] Subject: Meeting Inquiry

[0867] To: Tanaka

[0868] Sender's name: Sato

[0869] Specific request / communication details: Please schedule a meeting.

[0870] Furthermore, based on the user's input and dialogue, the emotion engine analyzed the user's emotions and determined that they were "somewhat stressed."

[0871] Template selection and content modification

[0872] The server selects the appropriate template based on the category and subcategory, and then fills in the content based on the sentiment engine's analysis results as follows:

[0873] Subject: Meeting Inquiry

[0874] Mr. Tanaka

[0875] Hello, this is Sato.

[0876] We fully understand the current situation and would like to promptly schedule a meeting.

[0877] Thank you very much for your cooperation.

[0878] Sincerely,

[0879] Sato

[0880] While a typical template might include phrases like "Please schedule a meeting," a more polite expression is added to show consideration for the user's feelings, such as "We fully understand your current situation and would like to schedule a meeting as quickly as possible."

[0881] Prompt return

[0882] The server constructs the generated prompt message as a response and sends it to the terminal. The terminal displays the returned prompt message to the user, who can use it as needed.

[0883] This invention enables users to quickly generate appropriate documents that take emotions into consideration. By combining this system with an emotion engine, it becomes possible to respond flexibly according to the user's situation, significantly improving work efficiency.

[0884] The flow of the specific processing in Example 2 will be explained using Figure 13.

[0885] Step 1:

[0886] The user accesses the terminal. The user uses the terminal to access the system's web application or dedicated software. The input is the system's web page or application's login screen, where the user enters the necessary authentication information to access the system. The output is the display of the dashboard or home screen that the user can access.

[0887] Step 2:

[0888] The user enters the necessary information. To select a template, the user enters a category (e.g., electronic communications, idea generation, planning, information analysis) and a subcategory (e.g., business email, thank-you email). They also enter information such as the subject, recipient, sender, and specific request details. Input is the user entering data into text input fields, and output is the saved information being stored in the device's memory.

[0889] Step 3:

[0890] The terminal sends a request to the server. When the user clicks the submit button on the input form, this input data is sent to the server as an HTTP request. The input is the click event of the submit button, and the output is the HTTP request to the server.

[0891] Step 4:

[0892] The server receives a request. The server analyzes the received request to determine its category, subcategory, subject, recipient, sender, and specific request details. The input is the data received as an HTTP request, and the output is a dataset of each analyzed item.

[0893] Step 5:

[0894] The server analyzes the user's emotions. Using an emotion engine, the server analyzes the user's emotional state based on the input information. NLP techniques are used here to identify emotions such as "joy," "anger," and "sadness." The input is the analyzed dataset, and the output is a result indicating the user's emotional state (e.g., "feeling somewhat stressed").

[0895] Step 6:

[0896] The server dynamically modifies the template content. Based on the analysis results, the server changes specific expressions within the template to match the user's emotions. The input is the emotion analysis results and the selected template, and the output is the dynamically modified template content.

[0897] Step 7:

[0898] The server recommends the most suitable template. Based on the emotional state and the entered category and subcategory, the server recommends the most appropriate template to the user. The input is the emotional analysis result, category, and subcategory, and the output is information about the recommended template.

[0899] Step 8:

[0900] The server sends the generated prompt to the terminal. The server constructs the generated prompt as an HTTP response and sends it to the terminal. The input is a dynamically modified template and the aforementioned dataset, and the output is an HTTP response containing the prompt.

[0901] Step 9:

[0902] The terminal displays the returned prompt message to the user. The terminal displays the prompt message received from the server to the user. The input is the HTTP response from the server, and the output is the display on the user interface.

[0903] Step 10:

[0904] The user reviews and uses the prompt text. The user reviews the displayed prompt text and edits it as needed. The input is the displayed prompt text, and the output is the final reviewed or edited document. The user can then take actions based on this document, such as sending an email.

[0905] (Application Example 2)

[0906] Next, we will explain application example 2. In the following explanation, the data processing device 12 will be referred to as the "server," and the smart glasses 214 will be referred to as the "terminal."

[0907] In a factory work environment, fatigue and stress among workers can reduce work efficiency and potentially affect safety. Furthermore, conventional work instruction systems fail to provide instructions that take into account the emotional state of workers, offering only mechanical instructions and thus lacking the ability to respond to human emotions and situations. This invention aims to improve work efficiency and safety by recognizing the emotional state of workers in real time and providing optimal work instructions based on this information.

[0908] The specific processing performed by the specific processing unit 290 of the data processing device 12 in Application Example 2 is realized by the following means.

[0909] In this invention, the server includes means for recognizing the emotional state of a worker, means for acquiring information to be embedded in a template, and means for dynamically modifying the template based on the emotional state. This makes it possible to provide optimal work instructions that take into account the emotional state of the worker.

[0910] A "category" is a classification system used to group multiple pieces of information or data.

[0911] A "subcategory" is a more detailed classification that falls below a category.

[0912] A "template" is a pre-defined form or structure, a format for embedding information.

[0913] "Information" refers to the specific data and content to be embedded in the template.

[0914] A "prompt" is the final document or set of instructions generated by filling in information into a specific template.

[0915] A "system" refers to a series of devices or programs that work together to achieve a function through the coordinated action of multiple means or devices.

[0916] A "worker" is a person who actually performs work in a factory or work environment.

[0917] "Emotional state" refers to the psychological state and emotions of a worker, including states such as stress, fatigue, and joy.

[0918] "To recognize" means to understand and judge emotional states and information.

[0919] "Dynamic modification" means making changes and adjustments in real time according to the situation.

[0920] "To recommend" means to suggest appropriate options or templates.

[0921] This invention is a system that recognizes the emotional state of factory workers in real time and dynamically generates and provides optimal work instruction templates based on that state. This system consists of the following main components.

[0922] System Configuration

[0923] 1. Means for recognizing emotional states:

[0924] To recognize the emotional state of workers, the system uses smartphones and tablets. These devices utilize cameras and microphones to capture the workers' facial expressions and voices, which are then sent to an emotion analysis AI engine (e.g., Microsoft Azure Cognitive Services' Emotion API).

[0925] 2. Template selection and information embedding means:

[0926] The server selects an appropriate template based on the emotional state obtained from the emotion analysis AI engine. The template is structured with categories and subcategories, into which the specific information required for the work instructions is embedded.

[0927] 3. Dynamic modification means:

[0928] The server dynamically modifies the template content based on the perceived emotional state. For example, if a worker is tired, it simplifies the instructions and, if necessary, includes an additional message such as "Take a break."

[0929] 4. Means of providing instructions:

[0930] The final generated work instruction template is sent to the factory robot. The instructions are displayed on the factory robot's screen, providing appropriate guidance to the worker.

[0931] Specific examples of hardware and software

[0932] Emotion analysis API: Microsoft Azure Cognitive Services - Emotion API

[0933] Data transmission API: RESTful API

[0934] Hardware: Factory robots with displays (e.g., industrial robots)

[0935] Software: Sentiment analysis AI engine, template generation algorithm, data communication API

[0936] Natural language description of the process

[0937] The server analyzes the worker's emotional state using data acquired from smartphones and tablets. The emotion analysis AI engine processes facial expressions and voice data to identify emotions such as "stress," "fatigue," and "joy." Based on this, the server uses a template selection mechanism to select the optimal work instruction template. Next, a dynamic modification mechanism adjusts the template content according to the emotional state. The final generated work instruction is displayed on the factory robot's display and provided to the worker.

[0938] Specific example

[0939] For example, at the start of the morning shift, a factory robot might greet the worker with "Good morning. Thank you for your cooperation today. Please tell me your current emotional state," and collect emotional data. Based on the collected data, it performs an emotional analysis, and if the worker is tired, it displays instructions such as, "Please perform today's tasks using the simplest possible procedures. Take breaks as needed."

[0940] Example of a prompt

[0941] "A factory worker has entered emotional data. Please create the optimal work instruction template for a worker with an emotional score of 0.4."

[0942] The flow of a specific process in Application Example 2 will be explained using Figure 14.

[0943] Step 1:

[0944] The user enters emotional data.

[0945] Users input their emotional state into a simple form using their smartphone or tablet. This form includes options such as "stress," "fatigue," and "joy." The entered emotional data is sent from the device to the server. Input data: emotional state; Output data: transmitted emotional data.

[0946] Step 2:

[0947] The server analyzes the emotional data.

[0948] The server uses the received emotional data to call an emotion analysis AI engine (Microsoft Azure Cognitive Services - Emotion API). The emotion analysis AI engine analyzes the input emotional data and generates a specific emotion score. Input data: emotional state; Output data: analyzed emotion score.

[0949] Step 3:

[0950] The server selects a template.

[0951] The server selects an appropriate template based on the analyzed sentiment score. It chooses the best template from a predefined set of templates based on categories and subcategories. Input data: sentiment score, category, subcategory; Output data: selected template.

[0952] Step 4:

[0953] The server dynamically modifies the template.

[0954] The server dynamically modifies the content of the selected template based on the sentiment score. For example, if the sentiment score is low, it simplifies the instructions and includes additional messages such as "Take a break" in the template. Input data: sentiment score, template content; Output data: modified template.

[0955] Step 5:

[0956] The server generates and returns the final prompt.

[0957] The server generates a final prompt based on the modified template and returns it to the terminal. The terminal receives this prompt and displays it on the factory robot's display. Input data: modified template, Output data: final prompt.

[0958] Step 6:

[0959] The terminal displays the work instructions.

[0960] The terminal sends the received prompt to the factory robot, which displays it on the robot's screen. The worker then performs the task according to the instructions displayed. Input data: final prompt; Output data: displayed work instructions.

[0961] The specific processing unit 290 transmits the result of the specific processing to the smart glasses 214. In the smart glasses 214, the control unit 46A causes the speaker 240 to output the result of the specific processing. The microphone 238 acquires audio indicating user input for the result of the specific processing. The control unit 46A transmits the audio data indicating user input acquired by the microphone 238 to the data processing unit 12. In the data processing unit 12, the specific processing unit 290 acquires the audio data.

[0962] Data generation model 58 is a type of so-called generative AI (Artificial Intelligence). One example of data generation model 58 is ChatGPT (Internet search<URL: https: / / openai.com / blog / chatgpt> ), Gemini (Internet search) <url: https: gemini.google.com ?hl="ja">Examples of generative AI include the following. The data generation model 58 is obtained by performing deep learning on a neural network. The data generation model 58 is input with prompts containing instructions, and with inference data such as audio data representing speech, text data representing text, and image data representing images. The data generation model 58 infers from the input inference data according to the instructions indicated by the prompts, and outputs the inference results in data formats such as audio data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization.

[0963] In the above embodiment, an example was given in which specific processing is performed by the data processing device 12, but the technology of this disclosure is not limited thereto, and the specific processing may also be performed by the smart glasses 214.

[0964] [Third Embodiment]

[0965] Figure 5 shows an example of the configuration of the data processing system 310 according to the third embodiment.

[0966] As shown in Figure 5, the data processing system 310 includes a data processing device 12 and a headset terminal 314. An example of the data processing device 12 is a server.

[0967] The data processing device 12 comprises a computer 22, a database 24, and a communication interface 26. The computer 22 is an example of a "computer" related to the technology of this disclosure. The computer 22 comprises a processor 28, RAM 30, and storage 32. The processor 28, RAM 30, and storage 32 are connected to a bus 34. The database 24 and the communication interface 26 are also connected to the bus 34. The communication interface 26 is connected to a network 54. An example of the network 54 is a WAN (Wide Area Network) and / or a LAN (Local Area Network).

[0968] The headset terminal 314 includes a computer 36, a microphone 238, a speaker 240, a camera 42, a communication interface 44, and a display 343. The computer 36 includes a processor 46, RAM 48, and storage 50. The processor 46, RAM 48, and storage 50 are connected to a bus 52. The microphone 238, speaker 240, camera 42, and display 343 are also connected to the bus 52.

[0969] The microphone 238 receives voice signals from the user 20 and receives instructions from the user 20. The microphone 238 captures the voice signals from the user 20, converts the captured voice into audio data, and outputs it to the processor 46. The speaker 240 outputs audio according to the instructions from the processor 46.

[0970] Camera 42 is a small digital camera equipped with an optical system including a lens, aperture, and shutter, and an image sensor such as a CMOS (Complementary Metal-Oxide-Semiconductor) image sensor or a CCD (Charge Coupled Device) image sensor, and captures images of the area around the user 20 (for example, an imaging range defined by a field of view equivalent to the width of a typical healthy person's field of vision).

[0971] Communication interface 44 is connected to network 54. Communication interfaces 44 and 26 are responsible for the exchange of various information between processor 46 and processor 28 via network 54. The exchange of various information between processor 46 and processor 28 using communication interfaces 44 and 26 is performed in a secure manner.

[0972] Figure 6 shows an example of the main functions of the data processing device 12 and the headset terminal 314. As shown in Figure 6, the data processing device 12 performs specific processing using the processor 28. The storage 32 stores the specific processing program 56.

[0973] The specific processing program 56 is an example of a "program" relating to the technology of this disclosure. The processor 28 reads the specific processing program 56 from the storage 32 and executes the read specific processing program 56 on the RAM 30. The specific processing is realized by the processor 28 operating as a specific processing unit 290 in accordance with the specific processing program 56 executed on the RAM 30.

[0974] The storage 32 stores the data generation model 58 and the emotion identification model 59. The data generation model 58 and the emotion identification model 59 are used by the identification processing unit 290.

[0975] In the headset terminal 314, the processor 46 performs the reception output processing. The storage 50 stores the reception output program 60. The processor 46 reads the reception output program 60 from the storage 50 and executes the read reception output program 60 on the RAM 48. The reception output processing is realized by the processor 46 operating as a control unit 46A according to the reception output program 60 executed on the RAM 48.

[0976] Next, the specific processing performed by the specific processing unit 290 of the data processing device 12 will be described. In the following description, the data processing device 12 will be referred to as the "server" and the headset terminal 314 will be referred to as the "terminal".

[0977] This invention relates to a system that provides prompt templates for various tasks. This system generates a completed prompt by having a server select an appropriate template based on a user request and fill in the necessary information within that template. The specific operation is described below.

[0978] First, the user accesses the system using a terminal. The user selects a category (e.g., email, ideas, plans, analysis) and a subcategory (e.g., business email, thank-you email, brainstorming) to choose an appropriate template. Furthermore, the user enters the information to be embedded in the template (e.g., subject, recipient, sender name, specific request details, etc.).

[0979] This request is sent from the terminal to the server. Based on the request, the server maintains templates corresponding to each category and subcategory. These templates are predefined document templates that provide a format for embedding information provided by the user.

[0980] The server selects the appropriate template based on the request's category and subcategory. It then embeds the information provided in the request into this template, generating a completed prompt. For example, if a user wants to compose a business email, the following template would be used:

[0981] Example: Business email template

[0982] [subject]

[0983] Subject: {Subject}

[0984] [Main text]

[0985] To: {Recipient Name}

[0986] Thank you for your continued support. This is {sender's name}.

[0987] {Specific request details and communication content}

[0988] Thank you very much for your cooperation.

[0989] Sincerely,

[0990] {Sender's name}

[0991] {contact address}

[0992] Assume the information entered by the user is as follows:

[0993] Subject: Meeting Inquiry

[0994] To: Tanaka

[0995] Sender's name: Sato

[0996] Specific request / communication details: Please schedule a meeting.

[0997] Based on this information, the server embeds a template and generates the following prompt:

[0998] Subject: Meeting Inquiry

[0999] Mr. Tanaka

[1000] Hello, this is Sato.

[1001] Please schedule the meeting.

[1002] Thank you very much for your cooperation.

[1003] Sincerely,

[1004] Sato

[1005] The prompt generated in this way is returned from the server to the terminal and displayed to the user. The user can review this prompt and use it as needed.

[1006] This invention enables users to quickly select the appropriate template and efficiently generate documents with the necessary information embedded. By providing templates tailored to each task, this system significantly improves the user's work efficiency.

[1007] The following describes the processing flow.

[1008] Step 1:

[1009] Users access the system using a terminal and select categories (e.g., email, ideas, plans, analysis) and subcategories (e.g., business email, thank-you email, brainstorming) to choose the appropriate template. Users also input information to be embedded in the template (e.g., subject, recipient, sender, specific request details).

[1010] Step 2:

[1011] The device sends a request to the server that includes the category, subcategory, and information entered by the user.

[1012] Step 3:

[1013] The server parses the received request and selects the appropriate template based on the categories and subcategories included in the request. A template is a predefined document template that provides a format for filling in information.

[1014] Step 4:

[1015] The server extracts user information from the request and embeds that information into the appropriate parts of the selected template. The user-provided information is inserted into the corresponding sections of the template, generating a complete prompt.

[1016] Step 5:

[1017] The server constructs the generated prompt as a response and sends it to the terminal.

[1018] Step 6:

[1019] The terminal displays prompts received from the server to the user. The user can review the displayed prompts and edit and use them as needed.

[1020] Specific example

[1021] User actions (Step 1)

[1022] The user enters the following information:

[1023] Category: Email

[1024] Subcategory: Business Email

[1025] information:

[1026] Subject: Meeting Inquiry

[1027] To: Tanaka

[1028] Sender's name: Sato

[1029] Specific request / communication details: Please schedule a meeting.

[1030] Submitting the request (Step 2)

[1031] The device sends the following request to the server:

[1032] json

[1033] {

[1034] "category": "email",

[1035] "sub_category": "Business email",

[1036] "data": {

[1037] Subject: "Meeting Notification",

[1038] "Recipient": "Tanaka",

[1039] "Sender's name": "Sato",

[1040] "Specific request or message content": "Please schedule the meeting."

[1041] }

[1042] }

[1043] Template selection and embedding (Steps 3 & 4)

[1044] The server extracts the category and subcategory from the request, selects the corresponding template, and embeds the information as follows:

[1045] Subject: Meeting Inquiry

[1046] Mr. Tanaka

[1047] Hello, this is Sato.

[1048] Please schedule the meeting.

[1049] Thank you very much for your cooperation.

[1050] Sincerely,

[1051] Sato

[1052] Prompt return (Step 5)

[1053] The server returns the generated prompt to the terminal.

[1054] Displaying a prompt (Step 6)

[1055] The terminal displays the returned prompt to the user, who then uses it as needed.

[1056] (Example 1)

[1057] Next, we will describe Example 1. In the following description, the data processing device 12 will be referred to as the "server," and the headset-type terminal 314 will be referred to as the "terminal."

[1058] Traditional template-based document generation systems required users to manually select a template and input the necessary information to create a document. This process was time-consuming and laborious, making efficient document creation difficult. Furthermore, errors in template selection or input could result in the creation of inappropriate documents. Therefore, there is a need to address these challenges.

[1059] The identification process performed by the identification processing unit 290 of the data processing device 12 in Example 1 is realized by the following means.

[1060] In this invention, the server includes means for a user to access the system using a terminal and select a category and a subcategory; means for the user to input information to be embedded in the corresponding template; means for the server to receive a request from the terminal and search for the corresponding template in a database; means for the server to embed the information provided by the user into the template and generate a prompt statement; and means for the server to send the generated prompt statement to the terminal. This makes it possible for a user to easily select an appropriate template and quickly and accurately generate a document with the necessary information embedded.

[1061] A "user" is someone who accesses the system to select a template and enter information.

[1062] A "terminal" is a digital device (e.g., personal computer, smartphone, tablet, etc.) that a user uses to access a system.

[1063] A "system" is a combination of programs and hardware that select templates, embed information, and generate and return prompt statements.

[1064] A "template" is a document model, providing a format for filling in information.

[1065] A "category" is a broad classification used to categorize templates (e.g., email, ideas, plans, analysis, etc.).

[1066] A "subcategory" is an item that is further classified within a category (e.g., business email, thank-you email, brainstorming, etc.).

[1067] A "server" is a central processing unit that receives requests from terminals, selects templates, embeds information, generates prompt messages, and returns them.

[1068] A "database" is a data storage system that stores templates and user input information, and allows for searching and retrieval of this information as needed.

[1069] A "request" is information and instructions for an action that a user sends to a system.

[1070] A "prompt statement" is the final document generated by embedding the information provided by the user into a template.

[1071] This invention relates to a system for quickly and efficiently generating template documents corresponding to various business tasks. In this system, the process begins with the user accessing the system using a terminal and selecting a category and a subcategory. Specific embodiments are described below.

[1072] First, the user accesses the system's web interface using a device (e.g., personal computer, smartphone, tablet, etc.). The user enters their authentication information on the login screen, and upon successful authentication, is redirected to the home screen. The home screen displays available categories (e.g., email, ideas, planning, analysis, etc.). The user selects their desired category and then selects a subcategory corresponding to that category (e.g., business email, thank-you email, brainstorming, etc.).

[1073] Next, once a subcategory is selected, a form will appear for entering the necessary information for the corresponding template. This form includes the following fields:

[1074] subject

[1075] address

[1076] Sender's name

[1077] Specific details of the request

[1078] The user enters the required information into these fields and clicks the "Submit" button. This sends the entered information from the terminal to the server as an HTTP POST request.

[1079] When the server receives a request, it parses the category and subcategory information included in the request and obtains the corresponding template ID. The server then accesses the database (e.g., MySQL, PostgreSQL, etc.) and searches for and retrieves the corresponding template from the template table.

[1080] The retrieved template is a predefined document template containing placeholders to be filled in (e.g., {Subject}, {Recipient}, {Sender}, {Specific Request Details}). The server fills in the information provided by the user into these placeholders. Based on the filled-in information, a prompt message is generated.

[1081] As a concrete example, consider a case where the user enters the following information:

[1082] Subject: Meeting Inquiry

[1083] To: Tanaka

[1084] Sender's name: Sato

[1085] Specific request: Please help me schedule a meeting.

[1086] Based on this information, the server generates the following prompt:

[1087] Subject: Meeting Inquiry

[1088] Mr. Tanaka

[1089] Hello, this is Sato.

[1090] Please schedule the meeting.

[1091] Thank you very much for your cooperation.

[1092] Sincerely,

[1093] Sato

[1094] The generated prompt message is returned from the server to the terminal and displayed to the user. The user can review the displayed prompt message and modify or use it as needed.

[1095] As described above, the system of the present invention assists users in efficiently creating template documents. The hardware used includes a server and a terminal, while the software includes a web browser, server-side programs (e.g., Python, Node.js, etc.), and a database. Through specific operating procedures and program processing, it is possible to significantly improve the user's work efficiency.

[1096] The flow of the specific processing in Example 1 will be explained using Figure 11.

[1097] Step 1: Accessing the System

[1098] 1. The user opens a web browser using their device.

[1099] 2. The user enters the system's URL to display the login screen.

[1100] 3. The user enters their authentication information (username and password) and clicks the "Login" button.

[1101] Input: User authentication information (username, password)

[1102] Output: Result indicating whether the user was authenticated.

[1103] Specific operation: A click event occurs on the login button, and authentication information is sent to the server. The server compares the authentication information with the database and returns the authentication result.

[1104] Step 2: Selecting Categories and Subcategories

[1105] 1. The user is redirected to the home screen, where available categories (e.g., email, ideas, planning, analysis) are displayed.

[1106] 2. The user clicks on the desired category.

[1107] 3. The subcategories of the selected category (e.g., business email, thank-you email, brainstorming, etc.) will be displayed.

[1108] 4. The user clicks on the desired subcategory.

[1109] Input: Select category and subcategory

[1110] Output: Selected categories and subcategories

[1111] Specific operation: A user click event occurs, and the selected category and subcategory are sent to the server. The server generates a corresponding list of templates and returns it to the terminal.

[1112] Step 3: Entering Information

[1113] 1. Selecting a subcategory will display a form for entering the necessary information for the template.

[1114] 2. The user enters information such as the subject, recipient's name, sender's name, and specific request details into the displayed form.

[1115] 3. The user clicks the "Submit" button.

[1116] Input: Information entered by the user (subject, recipient, sender, specific request details)

[1117] Output: The entered information is sent to the server.

[1118] Specific action: A form submission event occurs, and the entered data is sent to the server as an HTTP POST request.

[1119] Step 4: Receiving the request and selecting a template

[1120] 1. The server receives the request sent from the terminal.

[1121] 2. Analyze the category and subcategory information included in the request.

[1122] 3. The server retrieves the corresponding template ID based on the analysis results.

[1123] 4. The server accesses the database, searches for the relevant template in the template table, and retrieves it.

[1124] Input: Request from the device (category, subcategory information)

[1125] Output: Applicable template

[1126] Specific operation: The server parses the request body and executes a database query to retrieve the template.

[1127] Step 5: Embedding information and generating prompts

[1128] 1. The server searches for placeholders within the retrieved template.

[1129] 2. Embed the information provided by the user into the corresponding placeholder.

[1130] 3. After all the information has been embedded, the server generates the final prompt message.

[1131] Input: Template and user information (subject, recipient, sender, specific request details)

[1132] Output: Generated prompt message

[1133] Specific operation: The server uses regular expressions to replace placeholders and generates a prompt message.

[1134] Step 6: Return and display of prompt statements

[1135] 1. The server sends the generated prompt message to the terminal as an HTTP response.

[1136] 2. The terminal parses the received prompt message and displays it on the web page.

[1137] 3. The user reviews the displayed prompt and makes any necessary modifications or uses.

[1138] Input: Generated prompt message

[1139] Output: Prompt displayed on the terminal

[1140] Specific operation: The server returns the prompt in JSON format, the terminal's JavaScript parses it, converts it to HTML, and displays it to the user.

[1141] (Application Example 1)

[1142] Next, we will explain Application Example 1. In the following explanation, the data processing device 12 will be referred to as the "server," and the headset-type terminal 314 will be referred to as the "terminal."

[1143] In modern factory environments, workers are required to efficiently execute complex work processes. However, there are limitations to checking and using paper-based and manual instruction manuals, often leading to decreased work efficiency. Furthermore, there is a lack of means to quickly provide templated work instructions and real-time work support using smart glasses. As a result, problems such as increased errors and delays in work processes are likely to occur.

[1144] The specific processing performed by the specific processing unit 290 of the data processing device 12 in Application Example 1 is realized by the following means.

[1145] In this invention, the server includes means for selecting templates according to categories and subcategories, means for obtaining information to be embedded in the templates, and means for embedding the information in the templates and generating prompts. This enables workers to request and view work-related prompts using smart glasses. It also enables inputting and manipulating information via voice input and touch panel, and provides real-time instructions for equipment maintenance work and standardized procedures for other business processes.

[1146] A "category" refers to the broad classification of templates, and it is the criterion that the server uses to select the appropriate template based on the request content.

[1147] A "subcategory" is a further subdivision of a category, serving as a criterion for selecting a template that better suits a specific purpose.

[1148] A "template" is a predefined document model that provides a format for users to fill in the information they provide.

[1149] "Means of acquiring information" refers to the interface and processing functions for obtaining the necessary detailed information entered by the user.

[1150] A "prompt" is the final instruction or guide text generated by embedding user-provided information into a specified template.

[1151] "Smart glasses" are a type of wearable device that, when worn by a worker, can display digital information in real time and allow for voice input and touch panel operation.

[1152] "Factory workers" refers to personnel who perform various work processes within a factory and who receive work instructions using smart glasses.

[1153] "Voice input" refers to a method of inputting information using voice, which is achieved through microphones and voice recognition software.

[1154] A "touch panel" is a type of input device in which users input information or perform operations by touching the screen.

[1155] A "business process" refers to a series of activities and procedures carried out within a factory, which are performed in a standardized manner.

[1156] This invention provides a prompt template provision system using smart glasses to streamline business processes within a factory. In this system, a server selects an appropriate template according to the category and subcategory, and generates a prompt by embedding information provided by the user. This generated prompt is then provided in real time to workers wearing smart glasses.

[1157] First, the user (factory worker) puts on smart glasses, selects a template through a designated interface, and enters the necessary information. Input methods include voice input and touch panel. This information is then transmitted to the server via the smart glasses.

[1158] The server selects the appropriate template based on the request content. Multiple types of templates are stored, corresponding to categories and subcategories. For example, if the category is "maintenance" and the subcategory is "equipment inspection," the following specific examples can be expected.

[1159] Example: Prompt template for equipment inspection

[1160] (Equipment Inspection Report)

[1161] Equipment name: {equipment name}

[1162] Worker: {Worker}

[1163] Date: {Date}

[1164] Work details:

[1165] {Work details}

[1166] Points to note:

[1167] Please double-check for any errors after completion.

[1168] Suppose the user enters the following information:

[1169] Equipment name: Conveyor belt

[1170] Worker: Tanaka

[1171] Date: 2023-10-01

[1172] Work details: Check the belt tension and the condition of the rollers.

[1173] Based on this information, the server embeds the above template and generates a prompt like the following.

[1174] (Equipment Inspection Report)

[1175] Equipment name: Conveyor belt

[1176] Worker: Tanaka

[1177] Date: 2023-10-01

[1178] Work details:

[1179] Check the belt tension and the condition of the rollers.

[1180] Points to note:

[1181] Please double-check for any errors after completion.

[1182] The generated prompts are displayed in real time on smart glasses. These smart glasses feature a high-performance display and voice and touch panel input (e.g., Google Glass, HoloLens). Workers can follow the prompts to proceed with their tasks and input and confirm the necessary information.

[1183] The hardware used includes smart glasses, servers, and interface devices. The software includes a prompt generation AI model, speech recognition software, and touch panel operation software.

[1184] This system is expected to streamline factory operations, reduce errors, and improve quality. By providing standardized work instructions in real time, it enables workers to respond quickly and perform tasks with greater precision.

[1185] The flow of a specific process in Application Example 1 will be explained using Figure 12.

[1186] Step 1:

[1187] The user wears smart glasses and selects template categories and subcategories through the interface.

[1188] Input: Category and subcategory

[1189] Output: Selected categories and subcategories

[1190] Operation: The user selects categories and subcategories through voice input or touch panel operation, and that information is displayed on the smart glasses.

[1191] Step 2:

[1192] The user enters specific information (e.g., equipment name, worker name, work date, work details).

[1193] Input: Specific information

[1194] Output: Input information

[1195] Operation: Through voice input or touch panel operation, the user enters specific information for each item into the smart glasses' interface. This information is collected and sent to the server via the smart glasses.

[1196] Step 3:

[1197] The server receives the request and selects the appropriate template based on the category and subcategory.

[1198] Input: Category, subcategory, and specific information

[1199] Output: Selected template

[1200] Operation: The server analyzes the received data and selects the appropriate template from a pre-stored template repository. The selected template is then used in the next processing step.

[1201] Step 4:

[1202] The server embeds the user-provided information into the template and generates a completed prompt.

[1203] Input: Selected template and specific information provided by the user.

[1204] Output: Generated prompt

[1205] Operation: The server populates the selected template with user-provided information in placeholders and generates a complete prompt. For example, the "{equipment name}" part of the template will be populated with input data such as "conveyor belt".

[1206] Step 5:

[1207] The server returns the generated prompt to the smart glasses, allowing the user to view it in real time.

[1208] Input: Generated prompt

[1209] Output: Prompt displayed on smart glasses

[1210] Operation: The server sends the generated prompt to the smart glasses, which then display it on the smart glasses' screen. The user confirms the task through the displayed prompt and takes appropriate action.

[1211] Step 6:

[1212] The user follows the displayed prompts to complete the task and enters supplementary information as needed.

[1213] Input: Prompts displayed on smart glasses, and supplementary information entered as needed.

[1214] Output: Progress information on work execution

[1215] Operation: The user follows the prompts displayed on the smart glasses to complete the task. After completing the task, they may be asked to reconfirm any points or notes and enter supplementary information. This information is also sent to the server via the smart glasses.

[1216] Step 7:

[1217] The server collects supplementary and progress information, and records and analyzes it as needed.

[1218] Input: Supplementary information and progress information

[1219] Output: Recorded and analyzed data

[1220] Operation: The server receives supplementary and progress information provided by the user, stores it in a recording device, and analyzes the data as needed to improve future operations.

[1221] Furthermore, an emotion engine that estimates the user's emotions may be incorporated. That is, the identification processing unit 290 may use the emotion identification model 59 to estimate the user's emotions and perform identification processing using the user's emotions.

[1222] This invention relates to a system that recognizes a user's emotions and provides appropriate prompt templates based on those emotions. The system includes an emotion engine that analyzes emotions from the user's input and dialogue. The emotion engine dynamically changes the content of templates and recommends template selections.

[1223] First, the user accesses the system using a terminal and selects a category (e.g., email, ideas, plans, analysis) and subcategory (e.g., business email, thank-you email, brainstorming) to choose an appropriate template. The user also enters the information to be embedded in the template (e.g., subject, recipient, sender, specific request details).

[1224] This request is sent from the terminal to the server. The server not only selects the appropriate template based on the request content, but also analyzes the user's emotions using an emotion engine. For example, it analyzes the user's input to determine which emotion state they are in, such as "joy," "anger," or "sadness."

[1225] Based on the analysis results of the emotion engine, the server does the following:

[1226] 1. Dynamically change template content: Appropriately change the wording within the template according to the user's emotions. For example, if the user is emotionally sensitive, change the wording to a more polite one.

[1227] 2. Template Selection Recommendation: Based on the user's emotional state, the most appropriate template will be recommended. For example, if the user is entering content expressing gratitude, the "Thank You Email" template will be recommended.

[1228] The following is a specific example of how it works:

[1229] Specific example: Use of an emotion engine

[1230] User actions

[1231] The user enters the following information:

[1232] Category: Email

[1233] Subcategory: Business Email

[1234] information:

[1235] Subject: Meeting Inquiry

[1236] To: Tanaka

[1237] Sender's name: Sato

[1238] Specific request / communication details: Please schedule a meeting.

[1239] Furthermore, based on the user's input and dialogue, the emotion engine analyzed the user's emotions and determined that they were "somewhat stressed."

[1240] Template selection and content modification

[1241] The server selects the appropriate template based on the category and subcategory, and then fills in the content based on the sentiment engine's analysis results as follows:

[1242] Subject: Meeting Inquiry

[1243] Mr. Tanaka

[1244] Hello, this is Sato.

[1245] We fully understand the current situation and would like to promptly schedule a meeting.

[1246] Thank you very much for your cooperation.

[1247] Sincerely,

[1248] Sato

[1249] While a typical template might include phrases like "Please schedule a meeting," a more polite expression is added to show consideration for the user's feelings, such as "We fully understand your current situation and would like to schedule a meeting as quickly as possible."

[1250] Prompt return

[1251] The server constructs the generated prompt as a response and sends it to the terminal. The terminal displays the returned prompt to the user, who can use it as needed.

[1252] This invention enables users to quickly generate appropriate documents that take emotions into consideration. By combining this system with an emotion engine, it becomes possible to respond flexibly according to the user's situation, significantly improving work efficiency.

[1253] The following describes the processing flow.

[1254] Step 1:

[1255] Users access the system using a terminal and select a category (e.g., email, ideas, plans, analysis) and a subcategory (e.g., business email, thank-you email, brainstorming). Users also input information to be embedded in the template (e.g., subject, recipient, sender, specific request details).

[1256] Step 2:

[1257] The device sends a request to the server that includes the category, subcategory, and information entered by the user.

[1258] Step 3:

[1259] The server parses the received request and selects the appropriate template based on the categories and subcategories included in the request.

[1260] Step 4:

[1261] The server uses an emotion engine to analyze the user's emotions from the input content in the request and the conversation history. For example, it can identify emotional states such as "joy," "anger," and "sadness" from the tone of the text and the types of words used.

[1262] Step 5:

[1263] Based on the analysis results of the emotion engine, the server dynamically changes the content of the template. For example, if the user is expressing "anger," the wording in the template will be changed to more cautious expressions. Alternatively, based on the user's emotional state, it may replace the template with one from a different subcategory that is deemed most appropriate.

[1264] Step 6:

[1265] The server extracts user information from the request and embeds it in the dynamically modified template. This generates a complete prompt that is appropriate to the request while also considering the user's feelings.

[1266] Step 7:

[1267] The server constructs the generated prompt as a response and sends it to the terminal.

[1268] Step 8:

[1269] The terminal displays prompts received from the server to the user. The user can review the displayed prompts and edit and use them as needed.

[1270] Specific example

[1271] User actions (Step 1)

[1272] The user enters the following information:

[1273] Category: Email

[1274] Subcategory: Business Email

[1275] information:

[1276] Subject: Meeting Inquiry

[1277] To: Tanaka

[1278] Sender's name: Sato

[1279] Specific request / communication details: Please schedule a meeting.

[1280] Furthermore, the emotion engine analyzes the user's input to determine if they are experiencing "somewhat stressed."

[1281] Submitting the request (Step 2)

[1282] The device sends the following request to the server:

[1283] json

[1284] {

[1285] "category": "email",

[1286] "sub_category": "Business email",

[1287] "data": {

[1288] Subject: "Meeting Notification",

[1289] "Recipient": "Tanaka",

[1290] "Sender's name": "Sato",

[1291] "Specific request or message content": "Please schedule the meeting."

[1292] }

[1293] }

[1294] Template selection and sentiment analysis (Steps 3 & 4)

[1295] The server extracts the category and subcategory from the request and selects the corresponding template. Next, it uses an emotion engine to analyze the user's emotions and determines that they are "somewhat stressed."

[1296] Modify the template content (Step 5)

[1297] Based on the sentiment analysis results, the template content will be dynamically changed as follows:

[1298] Subject: Meeting Inquiry

[1299] Mr. Tanaka

[1300] Hello, this is Sato.

[1301] We fully understand the current situation and would like to promptly schedule a meeting.

[1302] Thank you very much for your cooperation.

[1303] Sincerely,

[1304] Sato

[1305] Information embedding and prompt generation (Step 6)

[1306] The server embeds the user information included in the request into a template and generates a completed prompt like the one shown above.

[1307] Prompt return (Step 7)

[1308] The server constructs the generated prompt as a response and sends it to the terminal.

[1309] Displaying a prompt (Step 8)

[1310] The terminal displays the returned prompt to the user, who then uses it as needed.

[1311] (Example 2)

[1312] Next, we will describe Example 2. In the following description, the data processing device 12 will be referred to as the "server," and the headset-type terminal 314 will be referred to as the "terminal."

[1313] Conventional template generation systems have struggled to create documents that take user emotions into account. Therefore, there is a need for flexible document generation that considers emotions, but the technology to achieve this is lacking. Furthermore, the absence of a function to dynamically change template content according to the user's emotional state makes it difficult to quickly generate appropriate prompt statements.

[1314] The identification process performed by the identification processing unit 290 of the data processing device 12 in Example 2 is realized by the following means.

[1315] In this invention, the server includes means for selecting a template according to a category and a subcategory; means for obtaining information to be embedded in the template; means for embedding the information in the template and generating a prompt statement; means for analyzing the user's input to detect their emotions; means for dynamically changing the content of the template based on the detected emotions; and means for returning the generated prompt statement to the user. This enables the rapid generation of appropriate prompt statements that take the user's emotions into consideration.

[1316] "Category" refers to the type and purpose of a document selected by the user, and is a concept that includes email, idea generation, planning, and information analysis.

[1317] A "subcategory" refers to a further subdivision of a document type or purpose within a category, such as business emails or thank-you emails.

[1318] A "template" refers to a fixed document format used to insert user-generated information, possessing a predefined document structure.

[1319] "Information" refers to data provided by the user to be embedded in the template, and includes elements such as the subject, recipient, sender, and specific request details.

[1320] A "prompt message" refers to a completed document that is generated by embedding a template based on information entered by the user.

[1321] A "server" refers to a computer system that processes requests received from users, selects templates, embeds information, analyzes sentiment, and returns prompt messages.

[1322] An "emotion engine" is a software component that analyzes user input to detect emotions, and it uses natural language processing technology to identify emotions.

[1323] "Dynamic modification" refers to the adaptive, real-time changes to the expressions and content within a template based on the results of user sentiment analysis.

[1324] This invention relates to a system that recognizes a user's emotions and provides appropriate prompt messages based on those emotions. This system includes an emotion engine that analyzes emotions from user input and dialogue, dynamically changing template content and recommending template selections. Specific embodiments are described below.

[1325] Users access the system using a terminal. To select an appropriate template, users first choose a category (e.g., electronic communications, idea generation, planning, information analysis), and then a subcategory (e.g., business email, thank-you email, brainstorming). Users also input information to be embedded in the template (e.g., subject, recipient, sender, specific request details).

[1326] This request is sent from the terminal to the server. The server not only selects an appropriate template based on the request content, but also analyzes the user's emotions using an emotion engine. Specifically, it uses NLP (Natural Language Processing) technology to analyze the user's input to determine which state of emotion they are experiencing, such as "joy," "anger," or "sadness."

[1327] Based on the analysis results of the emotion engine, the server does the following:

[1328] 1. Dynamically change template content: Appropriately change the wording within the template according to the user's emotions. For example, if the user is emotionally sensitive, change the wording to a more polite one.

[1329] 2. Template Selection Recommendation: Based on the user's emotional state, the most appropriate template will be recommended. For example, if the user is entering content expressing gratitude, the "Thank You Email" template will be recommended.

[1330] The following is a specific example of how it works:

[1331] Specific example: Use of an emotion engine

[1332] User actions

[1333] The user enters the following information:

[1334] Category: Electronic Communications

[1335] Subcategory: Business Email

[1336] information:

[1337] Subject: Meeting Inquiry

[1338] To: Tanaka

[1339] Sender's name: Sato

[1340] Specific request / communication details: Please schedule a meeting.

[1341] Furthermore, based on the user's input and dialogue, the emotion engine analyzed the user's emotions and determined that they were "somewhat stressed."

[1342] Template selection and content modification

[1343] The server selects the appropriate template based on the category and subcategory, and then fills in the content based on the sentiment engine's analysis results as follows:

[1344] Subject: Meeting Inquiry

[1345] Mr. Tanaka

[1346] Hello, this is Sato.

[1347] We fully understand the current situation and would like to promptly schedule a meeting.

[1348] Thank you very much for your cooperation.

[1349] Sincerely,

[1350] Sato

[1351] While a typical template might include phrases like "Please schedule a meeting," a more polite expression is added to show consideration for the user's feelings, such as "We fully understand your current situation and would like to schedule a meeting as quickly as possible."

[1352] Prompt return

[1353] The server constructs the generated prompt message as a response and sends it to the terminal. The terminal displays the returned prompt message to the user, who can use it as needed.

[1354] This invention enables users to quickly generate appropriate documents that take emotions into consideration. By combining this system with an emotion engine, it becomes possible to respond flexibly according to the user's situation, significantly improving work efficiency.

[1355] The flow of the specific processing in Example 2 will be explained using Figure 13.

[1356] Step 1:

[1357] The user accesses the terminal. The user uses the terminal to access the system's web application or dedicated software. The input is the system's web page or application's login screen, where the user enters the necessary authentication information to access the system. The output is the display of the dashboard or home screen that the user can access.

[1358] Step 2:

[1359] The user enters the necessary information. To select a template, the user enters a category (e.g., electronic communications, idea generation, planning, information analysis) and a subcategory (e.g., business email, thank-you email). They also enter information such as the subject, recipient, sender, and specific request details. Input is the user entering data into text input fields, and output is the saved information being stored in the device's memory.

[1360] Step 3:

[1361] The terminal sends a request to the server. When the user clicks the submit button on the input form, this input data is sent to the server as an HTTP request. The input is the click event of the submit button, and the output is the HTTP request to the server.

[1362] Step 4:

[1363] The server receives a request. The server analyzes the received request to determine its category, subcategory, subject, recipient, sender, and specific request details. The input is the data received as an HTTP request, and the output is a dataset of each analyzed item.

[1364] Step 5:

[1365] The server analyzes the user's emotions. Using an emotion engine, the server analyzes the user's emotional state based on the input information. NLP techniques are used here to identify emotions such as "joy," "anger," and "sadness." The input is the analyzed dataset, and the output is a result indicating the user's emotional state (e.g., "feeling somewhat stressed").

[1366] Step 6:

[1367] The server dynamically modifies the template content. Based on the analysis results, the server changes specific expressions within the template to match the user's emotions. The input is the emotion analysis results and the selected template, and the output is the dynamically modified template content.

[1368] Step 7:

[1369] The server recommends the most suitable template. Based on the emotional state and the entered category and subcategory, the server recommends the most appropriate template to the user. The input is the emotional analysis result, category, and subcategory, and the output is information about the recommended template.

[1370] Step 8:

[1371] The server sends the generated prompt to the terminal. The server constructs the generated prompt as an HTTP response and sends it to the terminal. The input is a dynamically modified template and the aforementioned dataset, and the output is an HTTP response containing the prompt.

[1372] Step 9:

[1373] The terminal displays the returned prompt message to the user. The terminal displays the prompt message received from the server to the user. The input is the HTTP response from the server, and the output is the display on the user interface.

[1374] Step 10:

[1375] The user reviews and uses the prompt text. The user reviews the displayed prompt text and edits it as needed. The input is the displayed prompt text, and the output is the final reviewed or edited document. The user can then take actions based on this document, such as sending an email.

[1376] (Application Example 2)

[1377] Next, we will explain application example 2. In the following explanation, the data processing device 12 will be referred to as the "server," and the headset-type terminal 314 will be referred to as the "terminal."

[1378] In a factory work environment, fatigue and stress among workers can reduce work efficiency and potentially affect safety. Furthermore, conventional work instruction systems fail to provide instructions that take into account the emotional state of workers, offering only mechanical instructions and thus lacking the ability to respond to human emotions and situations. This invention aims to improve work efficiency and safety by recognizing the emotional state of workers in real time and providing optimal work instructions based on this information.

[1379] The specific processing performed by the specific processing unit 290 of the data processing device 12 in Application Example 2 is realized by the following means.

[1380] In this invention, the server includes means for recognizing the emotional state of a worker, means for acquiring information to be embedded in a template, and means for dynamically modifying the template based on the emotional state. This makes it possible to provide optimal work instructions that take into account the emotional state of the worker.

[1381] A "category" is a classification system used to group multiple pieces of information or data.

[1382] A "subcategory" is a more detailed classification that falls below a category.

[1383] A "template" is a pre-defined form or structure, a format for embedding information.

[1384] "Information" refers to the specific data and content to be embedded in the template.

[1385] A "prompt" is the final document or set of instructions generated by filling in information into a specific template.

[1386] A "system" refers to a series of devices or programs that work together to achieve a function through the coordinated action of multiple means or devices.

[1387] A "worker" is a person who actually performs work in a factory or work environment.

[1388] "Emotional state" refers to the psychological state and emotions of a worker, including states such as stress, fatigue, and joy.

[1389] "To recognize" means to understand and judge emotional states and information.

[1390] "Dynamic modification" means making changes and adjustments in real time according to the situation.

[1391] "To recommend" means to suggest appropriate options or templates.

[1392] This invention is a system that recognizes the emotional state of factory workers in real time and dynamically generates and provides optimal work instruction templates based on that state. This system consists of the following main components.

[1393] System Configuration

[1394] 1. Means for recognizing emotional states:

[1395] To recognize the emotional state of workers, the system uses smartphones and tablets. These devices utilize cameras and microphones to capture the workers' facial expressions and voices, which are then sent to an emotion analysis AI engine (e.g., Microsoft Azure Cognitive Services' Emotion API).

[1396] 2. Template selection and information embedding means:

[1397] The server selects an appropriate template based on the emotional state obtained from the emotion analysis AI engine. The template is structured with categories and subcategories, into which the specific information required for the work instructions is embedded.

[1398] 3. Dynamic modification means:

[1399] The server dynamically modifies the template content based on the perceived emotional state. For example, if a worker is tired, it simplifies the instructions and, if necessary, includes an additional message such as "Take a break."

[1400] 4. Means of providing instructions:

[1401] The final generated work instruction template is sent to the factory robot. The instructions are displayed on the factory robot's screen, providing appropriate guidance to the worker.

[1402] Specific examples of hardware and software

[1403] Emotion analysis API: Microsoft Azure Cognitive Services - Emotion API

[1404] Data transmission API: RESTful API

[1405] Hardware: Factory robots with displays (e.g., industrial robots)

[1406] Software: Sentiment analysis AI engine, template generation algorithm, data communication API

[1407] Natural language description of the process

[1408] The server analyzes the worker's emotional state using data acquired from smartphones and tablets. The emotion analysis AI engine processes facial expressions and voice data to identify emotions such as "stress," "fatigue," and "joy." Based on this, the server uses a template selection mechanism to select the optimal work instruction template. Next, a dynamic modification mechanism adjusts the template content according to the emotional state. The final generated work instruction is displayed on the factory robot's display and provided to the worker.

[1409] Specific example

[1410] For example, at the start of the morning shift, a factory robot might greet the worker with "Good morning. Thank you for your cooperation today. Please tell me your current emotional state," and collect emotional data. Based on the collected data, it performs an emotional analysis, and if the worker is tired, it displays instructions such as, "Please perform today's tasks using the simplest possible procedures. Take breaks as needed."

[1411] Example of a prompt

[1412] "A factory worker has entered emotional data. Please create the optimal work instruction template for a worker with an emotional score of 0.4."

[1413] The flow of a specific process in Application Example 2 will be explained using Figure 14.

[1414] Step 1:

[1415] The user enters emotional data.

[1416] Users input their emotional state into a simple form using their smartphone or tablet. This form includes options such as "stress," "fatigue," and "joy." The entered emotional data is sent from the device to the server. Input data: emotional state; Output data: transmitted emotional data.

[1417] Step 2:

[1418] The server analyzes the emotional data.

[1419] The server uses the received emotional data to call an emotion analysis AI engine (Microsoft Azure Cognitive Services - Emotion API). The emotion analysis AI engine analyzes the input emotional data and generates a specific emotion score. Input data: emotional state; Output data: analyzed emotion score.

[1420] Step 3:

[1421] The server selects a template.

[1422] The server selects an appropriate template based on the analyzed sentiment score. It chooses the best template from a predefined set of templates based on categories and subcategories. Input data: sentiment score, category, subcategory; Output data: selected template.

[1423] Step 4:

[1424] The server dynamically modifies the template.

[1425] The server dynamically modifies the content of the selected template based on the sentiment score. For example, if the sentiment score is low, it simplifies the instructions and includes additional messages such as "Take a break" in the template. Input data: sentiment score, template content; Output data: modified template.

[1426] Step 5:

[1427] The server generates and returns the final prompt.

[1428] The server generates a final prompt based on the modified template and returns it to the terminal. The terminal receives this prompt and displays it on the factory robot's display. Input data: modified template, Output data: final prompt.

[1429] Step 6:

[1430] The terminal displays the work instructions.

[1431] The terminal sends the received prompt to the factory robot, which displays it on the robot's screen. The worker then performs the task according to the instructions displayed. Input data: final prompt; Output data: displayed work instructions.

[1432] The specific processing unit 290 transmits the result of the specific processing to the headset terminal 314. In the headset terminal 314, the control unit 46A causes the speaker 240 and display 343 to output the result of the specific processing. The microphone 238 acquires audio indicating user input for the result of the specific processing. The control unit 46A transmits the audio data indicating user input acquired by the microphone 238 to the data processing unit 12. In the data processing unit 12, the specific processing unit 290 acquires the audio data.

[1433] Data generation model 58 is a type of so-called generative AI (Artificial Intelligence). One example of data generation model 58 is ChatGPT (Internet search<URL: https: / / openai.com / blog / chatgpt> ), Gemini (Internet search) <url: https: gemini.google.com ?hl="ja">Examples of generative AI include the following. The data generation model 58 is obtained by performing deep learning on a neural network. The data generation model 58 is input with prompts containing instructions, and with inference data such as audio data representing speech, text data representing text, and image data representing images. The data generation model 58 infers from the input inference data according to the instructions indicated by the prompts, and outputs the inference results in data formats such as audio data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization.

[1434] In the above embodiment, an example was given in which specific processing is performed by the data processing device 12, but the technology of this disclosure is not limited thereto, and specific processing may also be performed by the headset terminal 314.

[1435] [Fourth Embodiment]

[1436] Figure 7 shows an example of the configuration of the data processing system 410 according to the fourth embodiment.

[1437] As shown in Figure 7, the data processing system 410 includes a data processing device 12 and a robot 414. An example of the data processing device 12 is a server.

[1438] The data processing device 12 comprises a computer 22, a database 24, and a communication interface 26. The computer 22 is an example of a "computer" related to the technology of this disclosure. The computer 22 comprises a processor 28, RAM 30, and storage 32. The processor 28, RAM 30, and storage 32 are connected to a bus 34. The database 24 and the communication interface 26 are also connected to the bus 34. The communication interface 26 is connected to a network 54. An example of the network 54 is a WAN (Wide Area Network) and / or a LAN (Local Area Network).

[1439] The robot 414 includes a computer 36, a microphone 238, a speaker 240, a camera 42, a communication interface 44, and a controlled object 443. The computer 36 includes a processor 46, RAM 48, and storage 50. The processor 46, RAM 48, and storage 50 are connected to a bus 52. The microphone 238, speaker 240, camera 42, and controlled object 443 are also connected to the bus 52.

[1440] The microphone 238 receives voice signals from the user 20 and receives instructions from the user 20. The microphone 238 captures the voice signals from the user 20, converts the captured voice into audio data, and outputs it to the processor 46. The speaker 240 outputs audio according to the instructions from the processor 46.

[1441] Camera 42 is a small digital camera equipped with an optical system including a lens, aperture, and shutter, and an image sensor such as a CMOS (Complementary Metal-Oxide-Semiconductor) image sensor or a CCD (Charge Coupled Device) image sensor, and captures images of the area around the user 20 (for example, an imaging range defined by a field of view equivalent to the width of a typical healthy person's field of vision).

[1442] Communication interface 44 is connected to network 54. Communication interfaces 44 and 26 are responsible for the exchange of various information between processor 46 and processor 28 via network 54. The exchange of various information between processor 46 and processor 28 using communication interfaces 44 and 26 is performed in a secure manner.

[1443] The controlled object 443 includes a display device, LEDs in the eyes, and motors that drive the arms, hands, and feet. The posture and gestures of the robot 414 are controlled by controlling the motors of the arms, hands, and feet. Some of the robot 414's emotions can be expressed by controlling these motors. Furthermore, the robot 414's facial expressions can also be expressed by controlling the illumination state of the LEDs in its eyes.

[1444] Figure 8 shows an example of the main functions of the data processing device 12 and the robot 414. As shown in Figure 8, the data processing device 12 performs specific processing using the processor 28. The storage 32 stores the specific processing program 56.

[1445] The specific processing program 56 is an example of a "program" relating to the technology of this disclosure. The processor 28 reads the specific processing program 56 from the storage 32 and executes the read specific processing program 56 on the RAM 30. The specific processing is realized by the processor 28 operating as a specific processing unit 290 in accordance with the specific processing program 56 executed on the RAM 30.

[1446] The storage 32 stores the data generation model 58 and the emotion identification model 59. The data generation model 58 and the emotion identification model 59 are used by the identification processing unit 290.

[1447] In robot 414, the processor 46 performs the reception output processing. The storage 50 stores the reception output program 60. The processor 46 reads the reception output program 60 from the storage 50 and executes the read reception output program 60 on the RAM 48. The reception output processing is realized by the processor 46 operating as a control unit 46A according to the reception output program 60 executed on the RAM 48.

[1448] Next, the specific processing performed by the specific processing unit 290 of the data processing device 12 will be described. In the following description, the data processing device 12 will be referred to as the "server" and the robot 414 as the "terminal".

[1449] This invention relates to a system that provides prompt templates for various tasks. This system generates a completed prompt by having a server select an appropriate template based on a user request and fill in the necessary information within that template. The specific operation is described below.

[1450] First, the user accesses the system using a terminal. The user selects a category (e.g., email, ideas, plans, analysis) and a subcategory (e.g., business email, thank-you email, brainstorming) to choose an appropriate template. Furthermore, the user enters the information to be embedded in the template (e.g., subject, recipient, sender name, specific request details, etc.).

[1451] This request is sent from the terminal to the server. Based on the request, the server maintains templates corresponding to each category and subcategory. These templates are predefined document templates that provide a format for embedding information provided by the user.

[1452] The server selects the appropriate template based on the request's category and subcategory. It then embeds the information provided in the request into this template, generating a completed prompt. For example, if a user wants to compose a business email, the following template would be used:

[1453] Example: Business email template

[1454] [subject]

[1455] Subject: {Subject}

[1456] [Main text]

[1457] To: {Recipient Name}

[1458] Thank you for your continued support. This is {sender's name}.

[1459] {Specific request details and communication content}

[1460] Thank you very much for your cooperation.

[1461] Sincerely,

[1462] {Sender's name}

[1463] {contact address}

[1464] Assume the information entered by the user is as follows:

[1465] Subject: Meeting Inquiry

[1466] To: Tanaka

[1467] Sender's name: Sato

[1468] Specific request / communication details: Please schedule a meeting.

[1469] Based on this information, the server embeds a template and generates the following prompt:

[1470] Subject: Meeting Inquiry

[1471] Mr. Tanaka

[1472] Hello, this is Sato.

[1473] Please schedule the meeting.

[1474] Thank you very much for your cooperation.

[1475] Sincerely,

[1476] Sato

[1477] The prompt generated in this way is returned from the server to the terminal and displayed to the user. The user can review this prompt and use it as needed.

[1478] This invention enables users to quickly select the appropriate template and efficiently generate documents with the necessary information embedded. By providing templates tailored to each task, this system significantly improves the user's work efficiency.

[1479] The following describes the processing flow.

[1480] Step 1:

[1481] Users access the system using a terminal and select categories (e.g., email, ideas, plans, analysis) and subcategories (e.g., business email, thank-you email, brainstorming) to choose the appropriate template. Users also input information to be embedded in the template (e.g., subject, recipient, sender, specific request details).

[1482] Step 2:

[1483] The device sends a request to the server that includes the category, subcategory, and information entered by the user.

[1484] Step 3:

[1485] The server parses the received request and selects the appropriate template based on the categories and subcategories included in the request. A template is a predefined document template that provides a format for filling in information.

[1486] Step 4:

[1487] The server extracts user information from the request and embeds that information into the appropriate parts of the selected template. The user-provided information is inserted into the corresponding sections of the template, generating a complete prompt.

[1488] Step 5:

[1489] The server constructs the generated prompt as a response and sends it to the terminal.

[1490] Step 6:

[1491] The terminal displays prompts received from the server to the user. The user can review the displayed prompts and edit and use them as needed.

[1492] Specific example

[1493] User actions (Step 1)

[1494] The user enters the following information:

[1495] Category: Email

[1496] Subcategory: Business Email

[1497] information:

[1498] Subject: Meeting Inquiry

[1499] To: Tanaka

[1500] Sender's name: Sato

[1501] Specific request / communication details: Please schedule a meeting.

[1502] Submitting the request (Step 2)

[1503] The device sends the following request to the server:

[1504] json

[1505] {

[1506] "category": "email",

[1507] "sub_category": "Business email",

[1508] "data": {

[1509] Subject: "Meeting Notification",

[1510] "Recipient": "Tanaka",

[1511] "Sender's name": "Sato",

[1512] "Specific request or message content": "Please schedule the meeting."

[1513] }

[1514] }

[1515] Template selection and embedding (Steps 3 & 4)

[1516] The server extracts the category and subcategory from the request, selects the corresponding template, and embeds the information as follows:

[1517] Subject: Meeting Inquiry

[1518] Mr. Tanaka

[1519] Hello, this is Sato.

[1520] Please schedule the meeting.

[1521] Thank you very much for your cooperation.

[1522] Sincerely,

[1523] Sato

[1524] Prompt return (Step 5)

[1525] The server returns the generated prompt to the terminal.

[1526] Displaying a prompt (Step 6)

[1527] The terminal displays the returned prompt to the user, who then uses it as needed.

[1528] (Example 1)

[1529] Next, we will describe Example 1. In the following description, the data processing device 12 will be referred to as the "server" and the robot 414 as the "terminal".

[1530] Traditional template-based document generation systems required users to manually select a template and input the necessary information to create a document. This process was time-consuming and laborious, making efficient document creation difficult. Furthermore, errors in template selection or input could result in the creation of inappropriate documents. Therefore, there is a need to address these challenges.

[1531] The identification process performed by the identification processing unit 290 of the data processing device 12 in Example 1 is realized by the following means.

[1532] In this invention, the server includes means for a user to access the system using a terminal and select a category and a subcategory; means for the user to input information to be embedded in the corresponding template; means for the server to receive a request from the terminal and search for the corresponding template in a database; means for the server to embed the information provided by the user into the template and generate a prompt statement; and means for the server to send the generated prompt statement to the terminal. This makes it possible for a user to easily select an appropriate template and quickly and accurately generate a document with the necessary information embedded.

[1533] A "user" is someone who accesses the system to select a template and enter information.

[1534] A "terminal" is a digital device (e.g., personal computer, smartphone, tablet, etc.) that a user uses to access a system.

[1535] A "system" is a combination of programs and hardware that select templates, embed information, and generate and return prompt statements.

[1536] A "template" is a document model, providing a format for filling in information.

[1537] A "category" is a broad classification used to categorize templates (e.g., email, ideas, plans, analysis, etc.).

[1538] A "subcategory" is an item that is further classified within a category (e.g., business email, thank-you email, brainstorming, etc.).

[1539] A "server" is a central processing unit that receives requests from terminals, selects templates, embeds information, generates prompt messages, and returns them.

[1540] A "database" is a data storage system that stores templates and user input information, and allows for searching and retrieval of this information as needed.

[1541] A "request" is information and instructions for an action that a user sends to a system.

[1542] A "prompt statement" is the final document generated by embedding the information provided by the user into a template.

[1543] This invention relates to a system for quickly and efficiently generating template documents corresponding to various business tasks. In this system, the process begins with the user accessing the system using a terminal and selecting a category and a subcategory. Specific embodiments are described below.

[1544] First, the user accesses the system's web interface using a device (e.g., personal computer, smartphone, tablet, etc.). The user enters their authentication information on the login screen, and upon successful authentication, is redirected to the home screen. The home screen displays available categories (e.g., email, ideas, planning, analysis, etc.). The user selects their desired category and then selects a subcategory corresponding to that category (e.g., business email, thank-you email, brainstorming, etc.).

[1545] Next, once a subcategory is selected, a form will appear for entering the necessary information for the corresponding template. This form includes the following fields:

[1546] subject

[1547] address

[1548] Sender's name

[1549] Specific details of the request

[1550] The user enters the required information into these fields and clicks the "Submit" button. This sends the entered information from the terminal to the server as an HTTP POST request.

[1551] When the server receives a request, it parses the category and subcategory information included in the request and obtains the corresponding template ID. The server then accesses the database (e.g., MySQL, PostgreSQL, etc.) and searches for and retrieves the corresponding template from the template table.

[1552] The retrieved template is a predefined document template containing placeholders to be filled in (e.g., {Subject}, {Recipient}, {Sender}, {Specific Request Details}). The server fills in the information provided by the user into these placeholders. Based on the filled-in information, a prompt message is generated.

[1553] As a concrete example, consider a case where the user enters the following information:

[1554] Subject: Meeting Inquiry

[1555] To: Tanaka

[1556] Sender's name: Sato

[1557] Specific request: Please help me schedule a meeting.

[1558] Based on this information, the server generates the following prompt:

[1559] Subject: Meeting Inquiry

[1560] Mr. Tanaka

[1561] Hello, this is Sato.

[1562] Please schedule the meeting.

[1563] Thank you very much for your cooperation.

[1564] Sincerely,

[1565] Sato

[1566] The generated prompt message is returned from the server to the terminal and displayed to the user. The user can review the displayed prompt message and modify or use it as needed.

[1567] As described above, the system of the present invention assists users in efficiently creating template documents. The hardware used includes a server and a terminal, while the software includes a web browser, server-side programs (e.g., Python, Node.js, etc.), and a database. Through specific operating procedures and program processing, it is possible to significantly improve the user's work efficiency.

[1568] The flow of the specific processing in Example 1 will be explained using Figure 11.

[1569] Step 1: Accessing the System

[1570] 1. The user opens a web browser using their device.

[1571] 2. The user enters the system's URL to display the login screen.

[1572] 3. The user enters their authentication information (username and password) and clicks the "Login" button.

[1573] Input: User authentication information (username, password)

[1574] Output: Result indicating whether the user was authenticated.

[1575] Specific operation: A click event occurs on the login button, and authentication information is sent to the server. The server compares the authentication information with the database and returns the authentication result.

[1576] Step 2: Selecting Categories and Subcategories

[1577] 1. The user is redirected to the home screen, where available categories (e.g., email, ideas, planning, analysis) are displayed.

[1578] 2. The user clicks on the desired category.

[1579] 3. The subcategories of the selected category (e.g., business email, thank-you email, brainstorming, etc.) will be displayed.

[1580] 4. The user clicks on the desired subcategory.

[1581] Input: Select category and subcategory

[1582] Output: Selected categories and subcategories

[1583] Specific operation: A user click event occurs, and the selected category and subcategory are sent to the server. The server generates a corresponding list of templates and returns it to the terminal.

[1584] Step 3: Entering Information

[1585] 1. Selecting a subcategory will display a form for entering the necessary information for the template.

[1586] 2. The user enters information such as the subject, recipient's name, sender's name, and specific request details into the displayed form.

[1587] 3. The user clicks the "Submit" button.

[1588] Input: Information entered by the user (subject, recipient, sender, specific request details)

[1589] Output: The entered information is sent to the server.

[1590] Specific action: A form submission event occurs, and the entered data is sent to the server as an HTTP POST request.

[1591] Step 4: Receiving the request and selecting a template

[1592] 1. The server receives the request sent from the terminal.

[1593] 2. Analyze the category and subcategory information included in the request.

[1594] 3. The server retrieves the corresponding template ID based on the analysis results.

[1595] 4. The server accesses the database, searches for the relevant template in the template table, and retrieves it.

[1596] Input: Request from the device (category, subcategory information)

[1597] Output: Applicable template

[1598] Specific operation: The server parses the request body and executes a database query to retrieve the template.

[1599] Step 5: Embedding information and generating prompts

[1600] 1. The server searches for placeholders within the retrieved template.

[1601] 2. Embed the information provided by the user into the corresponding placeholder.

[1602] 3. After all the information has been embedded, the server generates the final prompt message.

[1603] Input: Template and user information (subject, recipient, sender, specific request details)

[1604] Output: Generated prompt message

[1605] Specific operation: The server uses regular expressions to replace placeholders and generates a prompt message.

[1606] Step 6: Return and display of prompt statements

[1607] 1. The server sends the generated prompt message to the terminal as an HTTP response.

[1608] 2. The terminal parses the received prompt message and displays it on the web page.

[1609] 3. The user reviews the displayed prompt and makes any necessary modifications or uses.

[1610] Input: Generated prompt message

[1611] Output: Prompt displayed on the terminal

[1612] Specific operation: The server returns the prompt in JSON format, the terminal's JavaScript parses it, converts it to HTML, and displays it to the user.

[1613] (Application Example 1)

[1614] Next, we will explain Application Example 1. In the following explanation, the data processing device 12 will be referred to as the "server" and the robot 414 as the "terminal".

[1615] In modern factory environments, workers are required to efficiently execute complex work processes. However, there are limitations to checking and using paper-based and manual instruction manuals, often leading to decreased work efficiency. Furthermore, there is a lack of means to quickly provide templated work instructions and real-time work support using smart glasses. As a result, problems such as increased errors and delays in work processes are likely to occur.

[1616] The specific processing performed by the specific processing unit 290 of the data processing device 12 in Application Example 1 is realized by the following means.

[1617] In this invention, the server includes means for selecting templates according to categories and subcategories, means for obtaining information to be embedded in the templates, and means for embedding the information in the templates and generating prompts. This enables workers to request and view work-related prompts using smart glasses. It also enables inputting and manipulating information via voice input and touch panel, and provides real-time instructions for equipment maintenance work and standardized procedures for other business processes.

[1618] A "category" refers to the broad classification of templates, and it is the criterion that the server uses to select the appropriate template based on the request content.

[1619] A "subcategory" is a further subdivision of a category, serving as a criterion for selecting a template that better suits a specific purpose.

[1620] A "template" is a predefined document model that provides a format for users to fill in the information they provide.

[1621] "Means of acquiring information" refers to the interface and processing functions for obtaining the necessary detailed information entered by the user.

[1622] A "prompt" is the final instruction or guide text generated by embedding user-provided information into a specified template.

[1623] "Smart glasses" are a type of wearable device that, when worn by a worker, can display digital information in real time and allow for voice input and touch panel operation.

[1624] "Factory workers" refers to personnel who perform various work processes within a factory and who receive work instructions using smart glasses.

[1625] "Voice input" refers to a method of inputting information using voice, which is achieved through microphones and voice recognition software.

[1626] A "touch panel" is a type of input device in which users input information or perform operations by touching the screen.

[1627] A "business process" refers to a series of activities and procedures carried out within a factory, which are performed in a standardized manner.

[1628] This invention provides a prompt template provision system using smart glasses to streamline business processes within a factory. In this system, a server selects an appropriate template according to the category and subcategory, and generates a prompt by embedding information provided by the user. This generated prompt is then provided in real time to workers wearing smart glasses.

[1629] First, the user (factory worker) puts on smart glasses, selects a template through a designated interface, and enters the necessary information. Input methods include voice input and touch panel. This information is then transmitted to the server via the smart glasses.

[1630] The server selects the appropriate template based on the request content. Multiple types of templates are stored, corresponding to categories and subcategories. For example, if the category is "maintenance" and the subcategory is "equipment inspection," the following specific examples can be expected.

[1631] Example: Prompt template for equipment inspection

[1632] (Equipment Inspection Report)

[1633] Equipment name: {equipment name}

[1634] Worker: {Worker}

[1635] Date: {Date}

[1636] Work details:

[1637] {Work details}

[1638] Points to note:

[1639] Please double-check for any errors after completion.

[1640] Suppose the user enters the following information:

[1641] Equipment name: Conveyor belt

[1642] Worker: Tanaka

[1643] Date: 2023-10-01

[1644] Work details: Check the belt tension and the condition of the rollers.

[1645] Based on this information, the server embeds the above template and generates a prompt like the following.

[1646] (Equipment Inspection Report)

[1647] Equipment name: Conveyor belt

[1648] Worker: Tanaka

[1649] Date: 2023-10-01

[1650] Work details:

[1651] Check the belt tension and the condition of the rollers.

[1652] Points to note:

[1653] Please double-check for any errors after completion.

[1654] The generated prompts are displayed in real time on smart glasses. These smart glasses feature a high-performance display and voice and touch panel input (e.g., Google Glass, HoloLens). Workers can follow the prompts to proceed with their tasks and input and confirm the necessary information.

[1655] The hardware used includes smart glasses, servers, and interface devices. The software includes a prompt generation AI model, speech recognition software, and touch panel operation software.

[1656] This system is expected to streamline factory operations, reduce errors, and improve quality. By providing standardized work instructions in real time, it enables workers to respond quickly and perform tasks with greater precision.

[1657] The flow of a specific process in Application Example 1 will be explained using Figure 12.

[1658] Step 1:

[1659] The user wears smart glasses and selects template categories and subcategories through the interface.

[1660] Input: Category and subcategory

[1661] Output: Selected categories and subcategories

[1662] Operation: The user selects categories and subcategories through voice input or touch panel operation, and that information is displayed on the smart glasses.

[1663] Step 2:

[1664] The user enters specific information (e.g., equipment name, worker name, work date, work details).

[1665] Input: Specific information

[1666] Output: Input information

[1667] Operation: Through voice input or touch panel operation, the user enters specific information for each item into the smart glasses' interface. This information is collected and sent to the server via the smart glasses.

[1668] Step 3:

[1669] The server receives the request and selects the appropriate template based on the category and subcategory.

[1670] Input: Category, subcategory, and specific information

[1671] Output: Selected template

[1672] Operation: The server analyzes the received data and selects the appropriate template from a pre-stored template repository. The selected template is then used in the next processing step.

[1673] Step 4:

[1674] The server embeds the user-provided information into the template and generates a completed prompt.

[1675] Input: Selected template and specific information provided by the user.

[1676] Output: Generated prompt

[1677] Operation: The server populates the selected template with user-provided information in placeholders and generates a complete prompt. For example, the "{equipment name}" part of the template will be populated with input data such as "conveyor belt".

[1678] Step 5:

[1679] The server returns the generated prompt to the smart glasses, allowing the user to view it in real time.

[1680] Input: Generated prompt

[1681] Output: Prompt displayed on smart glasses

[1682] Operation: The server sends the generated prompt to the smart glasses, which then display it on the smart glasses' screen. The user confirms the task through the displayed prompt and takes appropriate action.

[1683] Step 6:

[1684] The user follows the displayed prompts to complete the task and enters supplementary information as needed.

[1685] Input: Prompts displayed on smart glasses, and supplementary information entered as needed.

[1686] Output: Progress information on work execution

[1687] Operation: The user follows the prompts displayed on the smart glasses to complete the task. After completing the task, they may be asked to reconfirm any points or notes and enter supplementary information. This information is also sent to the server via the smart glasses.

[1688] Step 7:

[1689] The server collects supplementary and progress information, and records and analyzes it as needed.

[1690] Input: Supplementary information and progress information

[1691] Output: Recorded and analyzed data

[1692] Operation: The server receives supplementary and progress information provided by the user, stores it in a recording device, and analyzes the data as needed to improve future operations.

[1693] Furthermore, an emotion engine that estimates the user's emotions may be incorporated. That is, the identification processing unit 290 may use the emotion identification model 59 to estimate the user's emotions and perform identification processing using the user's emotions.

[1694] This invention relates to a system that recognizes a user's emotions and provides appropriate prompt templates based on those emotions. The system includes an emotion engine that analyzes emotions from the user's input and dialogue. The emotion engine dynamically changes the content of templates and recommends template selections.

[1695] First, the user accesses the system using a terminal and selects a category (e.g., email, ideas, plans, analysis) and subcategory (e.g., business email, thank-you email, brainstorming) to choose an appropriate template. The user also enters the information to be embedded in the template (e.g., subject, recipient, sender, specific request details).

[1696] This request is sent from the terminal to the server. The server not only selects the appropriate template based on the request content, but also analyzes the user's emotions using an emotion engine. For example, it analyzes the user's input to determine which emotion state they are in, such as "joy," "anger," or "sadness."

[1697] Based on the analysis results of the emotion engine, the server does the following:

[1698] 1. Dynamically change template content: Appropriately change the wording within the template according to the user's emotions. For example, if the user is emotionally sensitive, change the wording to a more polite one.

[1699] 2. Template Selection Recommendation: Based on the user's emotional state, the most appropriate template will be recommended. For example, if the user is entering content expressing gratitude, the "Thank You Email" template will be recommended.

[1700] The following is a specific example of how it works:

[1701] Specific example: Use of an emotion engine

[1702] User actions

[1703] The user enters the following information:

[1704] Category: Email

[1705] Subcategory: Business Email

[1706] information:

[1707] Subject: Meeting Inquiry

[1708] To: Tanaka

[1709] Sender's name: Sato

[1710] Specific request / communication details: Please schedule a meeting.

[1711] Furthermore, based on the user's input and dialogue, the emotion engine analyzed the user's emotions and determined that they were "somewhat stressed."

[1712] Template selection and content modification

[1713] The server selects the appropriate template based on the category and subcategory, and then fills in the content based on the sentiment engine's analysis results as follows:

[1714] Subject: Meeting Inquiry

[1715] Mr. Tanaka

[1716] Hello, this is Sato.

[1717] We fully understand the current situation and would like to promptly schedule a meeting.

[1718] Thank you very much for your cooperation.

[1719] Sincerely,

[1720] Sato

[1721] While a typical template might include phrases like "Please schedule a meeting," a more polite expression is added to show consideration for the user's feelings, such as "We fully understand your current situation and would like to schedule a meeting as quickly as possible."

[1722] Prompt return

[1723] The server constructs the generated prompt as a response and sends it to the terminal. The terminal displays the returned prompt to the user, who can use it as needed.

[1724] This invention enables users to quickly generate appropriate documents that take emotions into consideration. By combining this system with an emotion engine, it becomes possible to respond flexibly according to the user's situation, significantly improving work efficiency.

[1725] The following describes the processing flow.

[1726] Step 1:

[1727] Users access the system using a terminal and select a category (e.g., email, ideas, plans, analysis) and a subcategory (e.g., business email, thank-you email, brainstorming). Users also input information to be embedded in the template (e.g., subject, recipient, sender, specific request details).

[1728] Step 2:

[1729] The device sends a request to the server that includes the category, subcategory, and information entered by the user.

[1730] Step 3:

[1731] The server parses the received request and selects the appropriate template based on the categories and subcategories included in the request.

[1732] Step 4:

[1733] The server uses an emotion engine to analyze the user's emotions from the input content in the request and the conversation history. For example, it can identify emotional states such as "joy," "anger," and "sadness" from the tone of the text and the types of words used.

[1734] Step 5:

[1735] Based on the analysis results of the emotion engine, the server dynamically changes the content of the template. For example, if the user is expressing "anger," the wording in the template will be changed to more cautious expressions. Alternatively, based on the user's emotional state, it may replace the template with one from a different subcategory that is deemed most appropriate.

[1736] Step 6:

[1737] The server extracts user information from the request and embeds it in the dynamically modified template. This generates a complete prompt that is appropriate to the request while also considering the user's feelings.

[1738] Step 7:

[1739] The server constructs the generated prompt as a response and sends it to the terminal.

[1740] Step 8:

[1741] The terminal displays prompts received from the server to the user. The user can review the displayed prompts and edit and use them as needed.

[1742] Specific example

[1743] User actions (Step 1)

[1744] The user enters the following information:

[1745] Category: Email

[1746] Subcategory: Business Email

[1747] information:

[1748] Subject: Meeting Inquiry

[1749] To: Tanaka

[1750] Sender's name: Sato

[1751] Specific request / communication details: Please schedule a meeting.

[1752] Furthermore, the emotion engine analyzes the user's input to determine if they are experiencing "somewhat stressed."

[1753] Submitting the request (Step 2)

[1754] The device sends the following request to the server:

[1755] json

[1756] {

[1757] "category": "email",

[1758] "sub_category": "Business email",

[1759] "data": {

[1760] Subject: "Meeting Notification",

[1761] "Recipient": "Tanaka",

[1762] "Sender's name": "Sato",

[1763] "Specific request or message content": "Please schedule the meeting."

[1764] }

[1765] }

[1766] Template selection and sentiment analysis (Steps 3 & 4)

[1767] The server extracts the category and subcategory from the request and selects the corresponding template. Next, it uses an emotion engine to analyze the user's emotions and determines that they are "somewhat stressed."

[1768] Modify the template content (Step 5)

[1769] Based on the sentiment analysis results, the template content will be dynamically changed as follows:

[1770] Subject: Meeting Inquiry

[1771] Mr. Tanaka

[1772] Hello, this is Sato.

[1773] We fully understand the current situation and would like to promptly schedule a meeting.

[1774] Thank you very much for your cooperation.

[1775] Sincerely,

[1776] Sato

[1777] Information embedding and prompt generation (Step 6)

[1778] The server embeds the user information included in the request into a template and generates a completed prompt like the one shown above.

[1779] Prompt return (Step 7)

[1780] The server constructs the generated prompt as a response and sends it to the terminal.

[1781] Displaying a prompt (Step 8)

[1782] The terminal displays the returned prompt to the user, who then uses it as needed.

[1783] (Example 2)

[1784] Next, we will describe Example 2. In the following description, the data processing device 12 will be referred to as the "server" and the robot 414 as the "terminal".

[1785] Conventional template generation systems have struggled to create documents that take user emotions into account. Therefore, there is a need for flexible document generation that considers emotions, but the technology to achieve this is lacking. Furthermore, the absence of a function to dynamically change template content according to the user's emotional state makes it difficult to quickly generate appropriate prompt statements.

[1786] The identification process performed by the identification processing unit 290 of the data processing device 12 in Example 2 is realized by the following means.

[1787] In this invention, the server includes means for selecting a template according to a category and a subcategory; means for obtaining information to be embedded in the template; means for embedding the information in the template and generating a prompt statement; means for analyzing the user's input to detect their emotions; means for dynamically changing the content of the template based on the detected emotions; and means for returning the generated prompt statement to the user. This enables the rapid generation of appropriate prompt statements that take the user's emotions into consideration.

[1788] "Category" refers to the type and purpose of a document selected by the user, and is a concept that includes email, idea generation, planning, and information analysis.

[1789] A "subcategory" refers to a further subdivision of a document type or purpose within a category, such as business emails or thank-you emails.

[1790] A "template" refers to a fixed document format used to insert user-generated information, possessing a predefined document structure.

[1791] "Information" refers to data provided by the user to be embedded in the template, and includes elements such as the subject, recipient, sender, and specific request details.

[1792] A "prompt message" refers to a completed document that is generated by embedding a template based on information entered by the user.

[1793] A "server" refers to a computer system that processes requests received from users, selects templates, embeds information, analyzes sentiment, and returns prompt messages.

[1794] An "emotion engine" is a software component that analyzes user input to detect emotions, and it uses natural language processing technology to identify emotions.

[1795] "Dynamic modification" refers to the adaptive, real-time changes to the expressions and content within a template based on the results of user sentiment analysis.

[1796] This invention relates to a system that recognizes a user's emotions and provides appropriate prompt messages based on those emotions. This system includes an emotion engine that analyzes emotions from user input and dialogue, dynamically changing template content and recommending template selections. Specific embodiments are described below.

[1797] Users access the system using a terminal. To select an appropriate template, users first choose a category (e.g., electronic communications, idea generation, planning, information analysis), and then a subcategory (e.g., business email, thank-you email, brainstorming). Users also input information to be embedded in the template (e.g., subject, recipient, sender, specific request details).

[1798] This request is sent from the terminal to the server. The server not only selects an appropriate template based on the request content, but also analyzes the user's emotions using an emotion engine. Specifically, it uses NLP (Natural Language Processing) technology to analyze the user's input to determine which state of emotion they are experiencing, such as "joy," "anger," or "sadness."

[1799] Based on the analysis results of the emotion engine, the server does the following:

[1800] 1. Dynamically change template content: Appropriately change the wording within the template according to the user's emotions. For example, if the user is emotionally sensitive, change the wording to a more polite one.

[1801] 2. Template Selection Recommendation: Based on the user's emotional state, the most appropriate template will be recommended. For example, if the user is entering content expressing gratitude, the "Thank You Email" template will be recommended.

[1802] The following is a specific example of how it works:

[1803] Specific example: Use of an emotion engine

[1804] User actions

[1805] The user enters the following information:

[1806] Category: Electronic Communications

[1807] Subcategory: Business Email

[1808] information:

[1809] Subject: Meeting Inquiry

[1810] To: Tanaka

[1811] Sender's name: Sato

[1812] Specific request / communication details: Please schedule a meeting.

[1813] Furthermore, based on the user's input and dialogue, the emotion engine analyzed the user's emotions and determined that they were "somewhat stressed."

[1814] Template selection and content modification

[1815] The server selects the appropriate template based on the category and subcategory, and then fills in the content based on the sentiment engine's analysis results as follows:

[1816] Subject: Meeting Inquiry

[1817] Mr. Tanaka

[1818] Hello, this is Sato.

[1819] We fully understand the current situation and would like to promptly schedule a meeting.

[1820] Thank you very much for your cooperation.

[1821] Sincerely,

[1822] Sato

[1823] While a typical template might include phrases like "Please schedule a meeting," a more polite expression is added to show consideration for the user's feelings, such as "We fully understand your current situation and would like to schedule a meeting as quickly as possible."

[1824] Prompt return

[1825] The server constructs the generated prompt message as a response and sends it to the terminal. The terminal displays the returned prompt message to the user, who can use it as needed.

[1826] This invention enables users to quickly generate appropriate documents that take emotions into consideration. By combining this system with an emotion engine, it becomes possible to respond flexibly according to the user's situation, significantly improving work efficiency.

[1827] The flow of the specific processing in Example 2 will be explained using Figure 13.

[1828] Step 1:

[1829] The user accesses the terminal. The user uses the terminal to access the system's web application or dedicated software. The input is the system's web page or application's login screen, where the user enters the necessary authentication information to access the system. The output is the display of the dashboard or home screen that the user can access.

[1830] Step 2:

[1831] The user enters the necessary information. To select a template, the user enters a category (e.g., electronic communications, idea generation, planning, information analysis) and a subcategory (e.g., business email, thank-you email). They also enter information such as the subject, recipient, sender, and specific request details. Input is the user entering data into text input fields, and output is the saved information being stored in the device's memory.

[1832] Step 3:

[1833] The terminal sends a request to the server. When the user clicks the submit button on the input form, this input data is sent to the server as an HTTP request. The input is the click event of the submit button, and the output is the HTTP request to the server.

[1834] Step 4:

[1835] The server receives a request. The server analyzes the received request to determine its category, subcategory, subject, recipient, sender, and specific request details. The input is the data received as an HTTP request, and the output is a dataset of each analyzed item.

[1836] Step 5:

[1837] The server analyzes the user's emotions. Using an emotion engine, the server analyzes the user's emotional state based on the input information. NLP techniques are used here to identify emotions such as "joy," "anger," and "sadness." The input is the analyzed dataset, and the output is a result indicating the user's emotional state (e.g., "feeling somewhat stressed").

[1838] Step 6:

[1839] The server dynamically modifies the template content. Based on the analysis results, the server changes specific expressions within the template to match the user's emotions. The input is the emotion analysis results and the selected template, and the output is the dynamically modified template content.

[1840] Step 7:

[1841] The server recommends the most suitable template. Based on the emotional state and the entered category and subcategory, the server recommends the most appropriate template to the user. The input is the emotional analysis result, category, and subcategory, and the output is information about the recommended template.

[1842] Step 8:

[1843] The server sends the generated prompt to the terminal. The server constructs the generated prompt as an HTTP response and sends it to the terminal. The input is a dynamically modified template and the aforementioned dataset, and the output is an HTTP response containing the prompt.

[1844] Step 9:

[1845] The terminal displays the returned prompt message to the user. The terminal displays the prompt message received from the server to the user. The input is the HTTP response from the server, and the output is the display on the user interface.

[1846] Step 10:

[1847] The user reviews and uses the prompt text. The user reviews the displayed prompt text and edits it as needed. The input is the displayed prompt text, and the output is the final reviewed or edited document. The user can then take actions based on this document, such as sending an email.

[1848] (Application Example 2)

[1849] Next, we will explain application example 2. In the following explanation, the data processing device 12 will be referred to as the "server" and the robot 414 as the "terminal".

[1850] In a factory work environment, fatigue and stress among workers can reduce work efficiency and potentially affect safety. Furthermore, conventional work instruction systems fail to provide instructions that take into account the emotional state of workers, offering only mechanical instructions and thus lacking the ability to respond to human emotions and situations. This invention aims to improve work efficiency and safety by recognizing the emotional state of workers in real time and providing optimal work instructions based on this information.

[1851] The specific processing performed by the specific processing unit 290 of the data processing device 12 in Application Example 2 is realized by the following means.

[1852] In this invention, the server includes means for recognizing the emotional state of a worker, means for acquiring information to be embedded in a template, and means for dynamically modifying the template based on the emotional state. This makes it possible to provide optimal work instructions that take into account the emotional state of the worker.

[1853] A "category" is a classification system used to group multiple pieces of information or data.

[1854] A "subcategory" is a more detailed classification that falls below a category.

[1855] A "template" is a pre-defined form or structure, a format for embedding information.

[1856] "Information" refers to the specific data and content to be embedded in the template.

[1857] A "prompt" is the final document or set of instructions generated by filling in information into a specific template.

[1858] A "system" refers to a series of devices or programs that work together to achieve a function through the coordinated action of multiple means or devices.

[1859] A "worker" is a person who actually performs work in a factory or work environment.

[1860] "Emotional state" refers to the psychological state and emotions of a worker, including states such as stress, fatigue, and joy.

[1861] "To recognize" means to understand and judge emotional states and information.

[1862] "Dynamic modification" means making changes and adjustments in real time according to the situation.

[1863] "To recommend" means to suggest appropriate options or templates.

[1864] This invention is a system that recognizes the emotional state of factory workers in real time and dynamically generates and provides optimal work instruction templates based on that state. This system consists of the following main components.

[1865] System Configuration

[1866] 1. Means for recognizing emotional states:

[1867] To recognize the emotional state of workers, the system uses smartphones and tablets. These devices utilize cameras and microphones to capture the workers' facial expressions and voices, which are then sent to an emotion analysis AI engine (e.g., Microsoft Azure Cognitive Services' Emotion API).

[1868] 2. Template selection and information embedding means:

[1869] The server selects an appropriate template based on the emotional state obtained from the emotion analysis AI engine. The template is structured with categories and subcategories, into which the specific information required for the work instructions is embedded.

[1870] 3. Dynamic modification means:

[1871] The server dynamically modifies the template content based on the perceived emotional state. For example, if a worker is tired, it simplifies the instructions and, if necessary, includes an additional message such as "Take a break."

[1872] 4. Means of providing instructions:

[1873] The final generated work instruction template is sent to the factory robot. The instructions are displayed on the factory robot's screen, providing appropriate guidance to the worker.

[1874] Specific examples of hardware and software

[1875] Emotion analysis API: Microsoft Azure Cognitive Services - Emotion API

[1876] Data transmission API: RESTful API

[1877] Hardware: Factory robots with displays (e.g., industrial robots)

[1878] Software: Sentiment analysis AI engine, template generation algorithm, data communication API

[1879] Natural language description of the process

[1880] The server analyzes the worker's emotional state using data acquired from smartphones and tablets. The emotion analysis AI engine processes facial expressions and voice data to identify emotions such as "stress," "fatigue," and "joy." Based on this, the server uses a template selection mechanism to select the optimal work instruction template. Next, a dynamic modification mechanism adjusts the template content according to the emotional state. The final generated work instruction is displayed on the factory robot's display and provided to the worker.

[1881] Specific example

[1882] For example, at the start of the morning shift, a factory robot might greet the worker with "Good morning. Thank you for your cooperation today. Please tell me your current emotional state," and collect emotional data. Based on the collected data, it performs an emotional analysis, and if the worker is tired, it displays instructions such as, "Please perform today's tasks using the simplest possible procedures. Take breaks as needed."

[1883] Example of a prompt

[1884] "A factory worker has entered emotional data. Please create the optimal work instruction template for a worker with an emotional score of 0.4."

[1885] The flow of a specific process in Application Example 2 will be explained using Figure 14.

[1886] Step 1:

[1887] The user enters emotional data.

[1888] Users input their emotional state into a simple form using their smartphone or tablet. This form includes options such as "stress," "fatigue," and "joy." The entered emotional data is sent from the device to the server. Input data: emotional state; Output data: transmitted emotional data.

[1889] Step 2:

[1890] The server analyzes the emotional data.

[1891] The server uses the received emotional data to call an emotion analysis AI engine (Microsoft Azure Cognitive Services - Emotion API). The emotion analysis AI engine analyzes the input emotional data and generates a specific emotion score. Input data: emotional state; Output data: analyzed emotion score.

[1892] Step 3:

[1893] The server selects a template.

[1894] The server selects an appropriate template based on the analyzed sentiment score. It chooses the best template from a predefined set of templates based on categories and subcategories. Input data: sentiment score, category, subcategory; Output data: selected template.

[1895] Step 4:

[1896] The server dynamically modifies the template.

[1897] The server dynamically modifies the content of the selected template based on the sentiment score. For example, if the sentiment score is low, it simplifies the instructions and includes additional messages such as "Take a break" in the template. Input data: sentiment score, template content; Output data: modified template.

[1898] Step 5:

[1899] The server generates and returns the final prompt.

[1900] The server generates a final prompt based on the modified template and returns it to the terminal. The terminal receives this prompt and displays it on the factory robot's display. Input data: modified template, Output data: final prompt.

[1901] Step 6:

[1902] The terminal displays the work instructions.

[1903] The terminal sends the received prompt to the factory robot, which displays it on the robot's screen. The worker then performs the task according to the instructions displayed. Input data: final prompt; Output data: displayed work instructions.

[1904] The specific processing unit 290 transmits the result of the specific processing to the robot 414. In the robot 414, the control unit 46A causes the speaker 240 and the controlled object 443 to output the result of the specific processing. The microphone 238 acquires audio indicating user input for the result of the specific processing. The control unit 46A transmits the audio data indicating user input acquired by the microphone 238 to the data processing unit 12. In the data processing unit 12, the specific processing unit 290 acquires the audio data.

[1905] Data generation model 58 is a type of so-called generative AI (Artificial Intelligence). One example of data generation model 58 is ChatGPT (Internet search<URL: https: / / openai.com / blog / chatgpt> ), Gemini (Internet search) <url: https: gemini.google.com ?hl="ja">Examples of generative AI include the following. The data generation model 58 is obtained by performing deep learning on a neural network. The data generation model 58 is input with prompts containing instructions, and with inference data such as audio data representing speech, text data representing text, and image data representing images. The data generation model 58 infers from the input inference data according to the instructions indicated by the prompts, and outputs the inference results in data formats such as audio data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization.

[1906] In the above embodiment, an example was given in which specific processing is performed by the data processing device 12, but the technology of this disclosure is not limited thereto, and the specific processing may also be performed by the robot 414.

[1907] Furthermore, the emotion identification model 59, acting as an emotion engine, may determine the user's emotion according to a specific mapping. Specifically, the emotion identification model 59 may determine the user's emotion according to a specific mapping, which is an emotion map (see Figure 9). Similarly, the emotion identification model 59 may also determine the robot's emotion, and the identification processing unit 290 may perform identification processing using the robot's emotion.

[1908] Figure 9 shows an emotion map 400 in which multiple emotions are mapped. In the emotion map 400, emotions are arranged in concentric circles radiating from the center. The closer to the center of the concentric circles, the more primitive the emotions are located. Further out of the concentric circles, emotions representing states and actions arising from mental states are located. Emotion is a concept that includes feelings and mental states. On the left side of the concentric circles, emotions that are generally generated from reactions occurring in the brain are located. On the right side of the concentric circles, emotions that are generally induced by situational judgment are located. Above and below the concentric circles, emotions that are generally generated from reactions occurring in the brain and induced by situational judgment are located. In addition, the emotion of "pleasure" is located on the upper side of the concentric circles, and the emotion of "displeasure" is located on the lower side. Thus, in the emotion map 400, multiple emotions are mapped based on the structure in which emotions arise, and emotions that are likely to occur simultaneously are mapped close together.

[1909] These emotions are distributed at the 3 o'clock position on the Emotion Map 400, and usually fluctuate between feelings of security and anxiety. In the right half of the Emotion Map 400, situational awareness takes precedence over internal feelings, resulting in a calm impression.

[1910] The inside of the Emotion Map 400 represents inner thoughts, while the outside represents actions. Therefore, the further you go from the outside of the Emotion Map 400, the more visible (expressed in actions) your emotions become.

[1911] Here, human emotions are based on various balances, such as posture and blood sugar levels. When these balances deviate from the ideal, it results in discomfort, and when they approach the ideal, it results in pleasure. Similarly, in robots, cars, motorcycles, etc., emotions can be created based on various balances, such as posture and battery level. When these balances deviate from the ideal, it results in discomfort, and when they approach the ideal, it results in pleasure. The emotion map can be generated, for example, based on Dr. Mitsuyoshi's emotion map (Research on a system for analyzing brain physiological signals of speech emotion recognition and emotion, Tokushima University, doctoral dissertation: https: / / ci.nii.ac.jp / naid / 500000375379). The left half of the emotion map contains emotions belonging to a region called "response," where sensation is dominant. The right half of the emotion map contains emotions belonging to a region called "situation," where situational awareness is dominant.

[1912] The emotion map defines two emotions that promote learning. One is the emotion around the middle of the negative "repentance" and "reflection" on the situation side. In other words, it is when the robot experiences negative emotions such as "I never want to feel this way again" or "I don't want to be scolded again." The other is the emotion around the positive "desire" on the reaction side. In other words, it is when the robot has positive feelings such as "I want more" or "I want to know more."

[1913] The emotion identification model 59 inputs user input into a pre-trained neural network, obtains emotion values ​​representing each emotion shown in the emotion map 400, and determines the user's emotion. This neural network is pre-trained based on multiple training data sets, which are combinations of user input and emotion values ​​representing each emotion shown in the emotion map 400. Furthermore, this neural network is trained so that emotions located close together have similar values, as shown in the emotion map 900 in Figure 10. Figure 10 shows an example where multiple emotions such as "reassured," "calm," and "confident" have similar emotion values.

[1914] The above description primarily focuses on the functions of the data processing device 12 in relation to this disclosure. However, the system related to this disclosure is not necessarily implemented on a server. The system related to this disclosure may be implemented as a general information processing system. This disclosure may be implemented, for example, as a software program that runs on a personal computer or as an application that runs on a smartphone. The method related to this disclosure may be provided to users in SaaS (Software as a Service) format.

[1915] In the above embodiment, an example was given in which a specific process is performed by a single computer 22. However, the technology of this disclosure is not limited thereto, and a distributed processing of the specific process may be performed by multiple computers, including computer 22. For example, a data generation model 58 may be provided in an external device of the data processing device 12, and the external device may generate data according to the input data.

[1916] In the above embodiment, an example was given in which the specific processing program 56 is stored in the storage 32, but the technology of this disclosure is not limited thereto. For example, the specific processing program 56 may be stored in a portable, computer-readable, non-temporary storage medium such as a USB (Universal Serial Bus) memory. The specific processing program 56 stored in the non-temporary storage medium is installed in the computer 22 of the data processing device 12. The processor 28 executes specific processing according to the specific processing program 56.

[1917] 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.

[1918] Furthermore, it is not necessary to store the entirety of the specific processing program 56 in a storage device such as a server connected to the data processing device 12 via the network 54, or to store the entirety of the specific processing program 56 in the storage 32; it is acceptable to store only a portion of the specific processing program 56.

[1919] The following types of processors can be used as hardware resources to perform specific processing. Examples of processors include a CPU, a general-purpose processor that functions as a hardware resource to perform specific processing by executing software, i.e., a program. Other examples of processors include dedicated electrical circuits, such as FPGAs (Field-Programmable Gate Arrays), PLDs (Programmable Logic Devices), or ASICs (Application Specific Integrated Circuits), which have circuit configurations specifically designed to perform specific processing. All of these processors have built-in or connected memory, and all of them perform specific processing by using memory.

[1920] The hardware resource that performs a specific process may consist of one of these various processors, or it may consist of a combination of two or more processors of the same or different types (for example, a combination of multiple FPGAs, or a combination of a CPU and an FPGA). Alternatively, the hardware resource that performs a specific process may consist of a single processor.

[1921] Examples of configurations using a single processor include, firstly, a configuration in which one or more CPUs and software are combined to form a single processor, and this processor functions as a hardware resource that performs a specific process. Secondly, there is a configuration using a processor that realizes the functions of the entire system, including multiple hardware resources that perform a specific process, on a single IC chip, as exemplified by SoCs (System-on-a-chip). In this way, a specific process is realized using one or more of the above types of processors as hardware resources.

[1922] Furthermore, the hardware structure of these various processors can more specifically utilize electrical circuits that combine circuit elements such as semiconductor devices. Also, the specific processing described above is merely an example. Therefore, it goes without saying that unnecessary steps can be deleted, new steps added, or the processing order rearranged, as long as it does not deviate from the main purpose.

[1923] The descriptions and illustrations presented above are detailed explanations of the technical aspects of this disclosure and are merely examples of the technical aspects. For example, the above descriptions of the structure, function, operation, and effect are examples of the structure, function, operation, and effect of the technical aspects of this disclosure. Therefore, it goes without saying that you may delete unnecessary parts, add new elements, or replace elements in the descriptions and illustrations presented above, as long as you do not deviate from the essence of the technical aspects of this disclosure. Furthermore, in order to avoid confusion and facilitate understanding of the technical aspects of this disclosure, explanations of common technical knowledge and the like that do not require special explanation to enable the implementation of the technical aspects of this disclosure have been omitted from the descriptions and illustrations presented above.

[1924] All documents, patent applications, and technical standards described herein are incorporated by reference to the same extent as if each individual document, patent application, and technical standard were specifically and individually noted to be incorporated by reference.

[1925] The following is further disclosed regarding the embodiments described above.

[1926] (Claim 1)

[1927] A means of selecting a template according to the category and subcategory,

[1928] A means of obtaining information to embed in the template,

[1929] Means for embedding the information in the template and generating a prompt,

[1930] A system including means for returning the generated prompt to the user.

[1931] (Claim 2)

[1932] The system according to claim 1, wherein the template includes templates corresponding to multiple categories and subcategories.

[1933] (Claim 3)

[1934] The system according to claim 1, wherein the categories include email, ideas, plans, and analysis.

[1935] "Example 1"

[1936] (Claim 1)

[1937] A means by which the user accesses the system using a terminal and selects categories and subcategories,

[1938] A means for the user to input the information to be embedded in the relevant template,

[1939] The server receives a request from the terminal and searches the database for the corresponding template,

[1940] A means by which the server embeds information provided by the user into a template to generate a prompt statement,

[1941] A system that includes means for a server to send a generated prompt message to a terminal.

[1942] (Claim 2)

[1943] The system according to claim 1, wherein the template includes templates corresponding to multiple categories and subcategories.

[1944] (Claim 3)

[1945] The system according to claim 1, wherein the categories include email, ideas, plans, and analysis.

[1946] "Application Example 1"

[1947] (Claim 1)

[1948] A means of selecting a template according to the category and subcategory,

[1949] A means of obtaining information to embed in the template,

[1950] Means for embedding the information in the template and generating a prompt,

[1951] A means for returning the generated prompt to the user,

[1952] A means by which factory workers can use smart glasses to request and view work-related prompts,

[1953] Means for inputting and manipulating information via voice input and touch panel,

[1954] A means of providing real-time instructions for equipment maintenance work and standardized procedures for other business processes.

[1955] A system that includes this.

[1956] (Claim 2)

[1957] The system according to claim 1, wherein the template includes templates corresponding to multiple categories and subcategories.

[1958] (Claim 3)

[1959] The system according to claim 1, wherein the categories include business emails, ideas, plans, and analyses.

[1960] "Example 2 of combining an emotion engine"

[1961] (Claim 1)

[1962] A means of selecting a template according to the category and subcategory,

[1963] A means of obtaining information to embed in the template,

[1964] A means for embedding the information in the template and generating a prompt statement,

[1965] A means of analyzing user input to detect emotions,

[1966] A means of dynamically changing the content of a template based on detected emotions,

[1967] A system including means for returning the generated prompt statement to the user.

[1968] (Claim 2)

[1969] The system according to claim 1, wherein the template includes templates corresponding to multiple categories and subcategories, and the means for detecting emotion uses an emotion engine.

[1970] (Claim 3)

[1971] The system according to claim 1, wherein the categories include electronic communications, idea generation, planning, and information analysis.

[1972] "Application example 2 when combining with an emotional engine"

[1973] (Claim 1)

[1974] A means of selecting a template according to the category and subcategory,

[1975] A means of obtaining information to embed in the template,

[1976] Means for embedding the information in the template and generating a prompt,

[1977] A means for returning the generated prompt to the user,

[1978] Means for recognizing the emotional state of workers,

[1979] Means for dynamically modifying a template based on the aforementioned emotional state,

[1980] A system including means for recommending the optimal template based on the aforementioned emotional state.

[1981] (Claim 2)

[1982] The system according to claim 1, wherein the template includes templates corresponding to multiple categories and subcategories.

[1983] (Claim 3)

[1984] The system according to claim 1, wherein the categories include documents, concepts, plans, and analyses. [Explanation of Symbols]

[1985] 10, 210, 310, 410 Data Processing Systems 12 Data Processing Devices 14 Smart Devices 214 Smart Glasses 314 Headset-type terminal 414 Robots< / url:> < / url:> < / url:> < / url:>

Claims

1. A means of selecting a template according to the category and subcategory, A means of obtaining information to embed in the template, Means for embedding the information in the template and generating a prompt, A system including means for returning the generated prompt to the user.

2. The system according to claim 1, wherein the template includes templates corresponding to multiple categories and subcategories.

3. The system according to claim 1, wherein the categories include email, ideas, plans, and analysis.

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