System

Abstract

A system is provided.SOLUTION: A system comprising: means for receiving an input content of a user from a user terminal; server means for analyzing the input content of the user and searching for a relevant discipline procedure; server means for formatting the discipline procedure and transmitting the discipline procedure to the user terminal; means for receiving a discipline feedback performed by the user; and means for analyzing the received feedback and improving the discipline procedure.SELECTED DRAWING: Figure 1

Description

[Technical Field]

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

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

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

[0004] Pet training can be very difficult for beginners, requiring knowledge of proper procedures. It is also difficult to evaluate the progress of training and make adjustments as needed. Furthermore, responding to pet owner emergencies requires advanced training, but there is a lack of a system that provides detailed and actionable guidelines for this. [Means for solving the problem]

[0005] The present invention provides a system that accepts user input from a user terminal, analyzes it, and provides relevant training procedures. Specifically, the user inputs the training instructions they want, and the input is analyzed by a server to search for appropriate training procedures, format them, and send them to the user terminal. The system also includes a means for collecting and analyzing feedback on the training the user has performed to improve the training procedures. This invention enables even beginners to effectively train their pets, ultimately enabling them to train their pets in a way that allows them to respond to emergency situations.

[0006] "User terminal" refers to any electronic device that a user uses to operate an application.

[0007] "Input content" refers to information relating to the text or voice that a user inputs into a terminal.

[0008] "Analysis" refers to the process by which the server understands the user's input and derives appropriate training procedures.

[0009] A "training routine" refers to the specific steps or methods used to teach a pet a particular behavior or action.

[0010] "Server" refers to a computer system that processes requests received from user terminals and provides appropriate data.

[0011] "Feedback" refers to the information that the user inputs into the device regarding the progress and results of training, and that is then sent to the server.

[0012] "Formatting" refers to the process of converting the acquired training procedures into a format that is easy for the user to understand.

[0013] "Searching" refers to the process by which a server finds relevant data from a database or other source of information.

[0014] "System" refers to the entire configuration that provides discipline support functions, including user terminals, servers, and related software and databases. [Brief explanation of the drawings]

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

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

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

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

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

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

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

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

[0023] [First embodiment]

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

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

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

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

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

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

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

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

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

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

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

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

[0036] The present invention is a system designed to enable users to effectively train their pets. This system is composed of a user terminal, a server, and related software and databases. Specific embodiments for carrying out the present invention are described below.

[0037] overview

[0038] The system allows users to input training instructions via their devices, and the server analyzes the input to provide appropriate training procedures. It also has the ability to collect feedback on the training provided by users and improve the training procedures as necessary.

[0039] System configuration

[0040] 1. User Device

[0041] User terminals are common electronic devices such as smartphones, tablets, and PCs.

[0042] Users use these devices to input training details and provide feedback.

[0043] 2. Server

[0044] The server receives and analyzes the data sent from the user terminal.

[0045] Based on the analysis results, the appropriate training procedures are retrieved from the database, formatted, and sent to the user's terminal.

[0046] We also improve our training procedures based on the feedback we collect.

[0047] 3. Software and Databases

[0048] The software is a program that properly transmits the user's input to the server and displays the analysis results to the user in an easy-to-understand manner.

[0049] The database stores various training procedures and feedback, and is used by the server for searching and retrieving.

[0050] Program Operation

[0051] Accepting user input

[0052] The user terminal is then activated, and the user can input training requests into the terminal, for example, specific requests such as "toilet training" or "sit training" by text or voice.

[0053] Sending a request to the server

[0054] The device captures the input and sends it to the server, where the data is sent as structured data, such as JSON.

[0055] Generate training procedures

[0056] The server analyzes the received data and searches the database for relevant training instructions, which are then formatted into a user-friendly format, such as "Toilet Training Instructions" or "Emergency Response Training."

[0057] Send training instructions

[0058] The formatted training instructions are sent from the server to the user's terminal, which displays them to the user, allowing the user to check detailed guidelines for each step.

[0059] Collecting feedback

[0060] The user performs the training and inputs the progress and results into the terminal. The terminal sends this feedback to the server, which receives it and stores it in a database.

[0061] Improved training procedures

[0062] The server analyzes the collected feedback, identifies problems with the training protocol, improves it as needed, and provides the user with a new protocol.

[0063] Specific examples

[0064] Basic training steps

[0065] 1. The user starts the terminal and enters "toilet training."

[0066] 2. The device sends the input to the server.

[0067] 3. The server retrieves the appropriate instructions from the database, formats them, and sends them to the terminal.

[0068] 4. The device displays instructions to the user, such as "Place the toilet sheet in a specific location" and "Praise the user if successful."

[0069] 5. The user performs the training and inputs the results and progress as feedback into the device.

[0070] Training in emergency response

[0071] 1. The user starts up the terminal and enters, "I want my pet to help me in an emergency."

[0072] 2. The device sends the input to the server.

[0073] 3. The server retrieves the appropriate emergency response procedures from the database, formats them, and sends them to the device.

[0074] 4. The device displays instructions to the user, such as "Use the alarm bell" or "Teach a specific action."

[0075] 5. The user performs the training and inputs the results and progress as feedback into the device.

[0076] The present invention allows users to effectively train their pets and enables pets to respond to emergency situations for their owners.

[0077] The processing flow will be explained below.

[0078] Step 1:

[0079] The user launches the app and enters the training details. The user enters the training details, such as "toilet training," into the text box on the device and clicks the send button. Alternatively, the user can enter the desired training details using voice input.

[0080] Step 2:

[0081] The device captures the user's input and converts it to JSON format, which is then sent to the server as an HTTP POST request.

[0082] Step 3:

[0083] The server receives the request, parses the JSON data, and extracts the training content (e.g., "toilet training") from the parsed results.

[0084] Step 4:

[0085] The server searches the database and retrieves data related to the training content. Specifically, it retrieves "toilet training procedures" from the database.

[0086] Step 5:

[0087] The server formats the training instructions it receives into a format that is easy for the user to understand. For example, it divides the instructions into steps such as "Step 1: Place a toilet sheet in a specific location" and "Step 2: Take the dog there when it's time to use the toilet."

[0088] Step 6:

[0089] The server sends the formatted training instructions to the terminal as structured data in JSON format or similar.

[0090] Step 7:

[0091] The device analyzes the data received from the server and displays the training procedure to the user, with each step displayed in detail on the screen.

[0092] Step 8:

[0093] The user follows the displayed training procedure to train the pet, and inputs the training progress and results as feedback to the terminal.

[0094] Step 9:

[0095] The device captures user feedback and converts it into JSON format, which is then sent to the server as an HTTP POST request.

[0096] Step 10:

[0097] The server analyzes the received feedback and stores it in a database, where it evaluates the effectiveness of the training procedures and improves them if necessary.

[0098] Step 11:

[0099] The server generates an improved training procedure and sends it to the user terminal again. The improved procedure is applied, and the user can once again train the dog.

[0100] Example 1

[0101] Next, a description will be given of Example 1. In the following description, the data processing device 12 will be referred to as a "server" and the smart device 14 will be referred to as a "terminal."

[0102] Conventional pet training systems have had difficulty in quickly obtaining the appropriate training procedures for users to effectively train their pet. Furthermore, they lacked the functionality to efficiently collect feedback on the progress and results of training and improve the training procedures. This resulted in the problem of not maximizing the effectiveness of training and not achieving the results users expected.

[0103] The specific processing by the specific processing unit 290 of the data processing device 12 in the first embodiment is realized by the following means.

[0104] In this invention, the server includes a means for accepting user input from a user terminal, a data analysis means for analyzing the user input and searching for relevant behavioral training procedures, and a data transmission means for formatting the behavioral training procedures and transmitting them to the user terminal. This allows users to train their pets efficiently and effectively. Furthermore, the system collects and analyzes user feedback and improves the training procedures, thereby improving the effectiveness of training and enabling users to achieve better results.

[0105] A "user terminal" is an electronic device such as a smartphone, tablet, or personal computer that provides an interface for a user to operate.

[0106] "Input content" refers to information that the user inputs through the terminal, and includes training requests, feedback, and the like.

[0107] The "data analysis means" is a part of the server that has the function of analyzing the user input content and searching and generating the related behavioral guidance procedure.

[0108] "Behavioral training procedures" are guidelines that show the specific steps and procedures required for training pets, and are stored in a database.

[0109] The "data transmission means" is a part of the server that has a function for transmitting the formatted behavior instruction procedure to the user terminal.

[0110] "Feedback" is information provided by the user about the progress and results of training, which is used to improve the system.

[0111] A "system" is a collection of information processing devices including user terminals, servers, related software and databases.

[0112] The present invention is a system that allows users to effectively train their pets. This system consists of a user terminal, a server, and related software and databases. Specifically, the user inputs training instructions into the terminal, and the server analyzes the input and provides appropriate training procedures. Furthermore, the system has the function of collecting feedback on the training the user has performed and improving the training procedures as necessary.

[0113] Hardware and software used

[0114] User devices: smartphones (iPhone, Android), tablets, personal computers

[0115] Server: Cloud server (AWS or Google Cloud Platform)

[0116] Software: React and Vue.js are used for the front end, Node.js and Django for the back end, and MySQL, PostgreSQL, MongoDB, etc. are used for the database.

[0117] System configuration

[0118] 1. User Device

[0119] User terminals are common electronic devices such as smartphones, tablets, and PCs.

[0120] Users use these devices to input training details and provide feedback.

[0121] 2. Server

[0122] The server receives and analyzes the data sent from the user terminal.

[0123] Based on the analysis results, the appropriate training procedures are retrieved from the database, formatted, and sent to the user's terminal.

[0124] We also improve our training procedures based on the feedback we collect.

[0125] 3. Software and Databases

[0126] The software is used to properly send the user's input to the server and display the analysis results in an easy-to-understand manner for the user.

[0127] The database is used to store various training procedures and feedback, and is used by the server for searching and retrieving.

[0128] Specific examples

[0129] Basic training steps

[0130] 1. The user starts the terminal and enters "toilet training."

[0131] 2. The device sends the input to the server.

[0132] 3. The server retrieves the appropriate instructions from the database, formats them, and sends them to the terminal.

[0133] 4. The device displays instructions to the user, such as "Place the toilet sheet in a specific location" and "Praise the user if successful."

[0134] 5. The user performs the training and inputs the results and progress as feedback into the device.

[0135] Training in emergency response

[0136] 1. The user starts up the terminal and enters, "I want my pet to help me in an emergency."

[0137] 2. The device sends the input to the server.

[0138] 3. The server retrieves the appropriate emergency response procedures from the database, formats them, and sends them to the device.

[0139] 4. The device displays instructions to the user, such as "Use the alarm bell" or "Teach a specific action."

[0140] 5. The user performs the training and inputs the results and progress as feedback into the device.

[0141] Prompt Sentence Examples

[0142] "Please tell me the steps to toilet training my pet."

[0143] This allows users to easily learn effective and appropriate training procedures and efficiently train their pets. Furthermore, by improving the procedures based on feedback, it is possible to continuously improve the effectiveness of training.

[0144] The flow of the identification process in the first embodiment will be described with reference to FIG.

[0145] Step 1:

[0146] The user starts the terminal and inputs the training content.

[0147] Input: The user turns on their smartphone or tablet, opens the training app, and enters the training instructions into the app's input field, either by typing text such as "toilet training" or by using voice input.

[0148] Specific action: The user types "toilet training" and presses the send button.

[0149] Output: The device temporarily stores the input in its internal memory.

[0150] Step 2:

[0151] The device captures the input and sends it to the server.

[0152] Input: User-entered discipline (text or audio data)

[0153] What it does: The device converts the input text or voice data into JSON format and sends it to the server's API endpoint using an HTTP POST request.

[0154] Output: Sent to the server as structured data.

[0155] Step 3:

[0156] The server analyzes the data and retrieves the appropriate training instructions from a database.

[0157] Input: JSON formatted discipline request data received by the server

[0158] What it does: The server uses a natural language processing (NLP) engine to analyze the incoming data and extract keywords like "toilet" or "training," then runs a database query to find the appropriate training instructions.

[0159] Output: Relevant training procedure data retrieved from the database

[0160] Step 4:

[0161] The server formats the training procedure it has acquired and sends it to the terminal.

[0162] Input: Training procedure data retrieved from the database

[0163] What it does: The server formats the training instructions into a format that's easy for the user to understand. For example, it might use Markdown or HTML to format each step. It then converts the formatted data back into JSON and sends it to the user's device as an HTTP response.

[0164] Output: Formatted training sequence data is sent to the terminal.

[0165] Step 5:

[0166] The terminal displays the training procedure to the user.

[0167] Input: Formatted training protocol data received from the server

[0168] What it does: The device analyzes the data it receives and displays it in the app's interface. It displays step-by-step instructions in bulleted form for the user to see. For example, it might say, "Put the toilet paper in a specific place" or "Praise the user when they succeed."

[0169] Output: Visually displayed training instructions

[0170] Step 6:

[0171] The user carries out the training and inputs the results into the terminal.

[0172] Input: The results and progress of the training performed by the user

[0173] Specific operation: The user follows the training procedure to train their pet and enters the results in the feedback form within the app, for example, by selecting an appropriate option such as "Successful" or "Failed partway through."

[0174] Output: Feedback data entered into the terminal

[0175] Step 7:

[0176] The device sends the feedback to the server.

[0177] Input: User-entered feedback data

[0178] Specific operation: The device converts the feedback data into JSON format and sends it again to the server's API endpoint as an HTTP POST request.

[0179] Output: Feedback data sent to the server as structured data

[0180] Step 8:

[0181] The server analyzes the feedback and improves the training procedures as needed.

[0182] Input: Received feedback data

[0183] Specific actions: The server analyzes the feedback data and identifies the problems the user is having and areas for improvement. It uses NLP and machine learning algorithms to extract specific problem areas.

[0184] Output: List of areas needing improvement and revised discipline procedures

[0185] Step 9:

[0186] The server sends the improved procedure to the terminal and provides it to the user.

[0187] Input: Revised discipline procedures

[0188] Specific operation: The server formats the revised instructions, converts them back into JSON format, and sends them to the user's terminal.

[0189] Output: The revised training sequence is sent to the terminal and displayed to the user.

[0190] (Application example 1)

[0191] Next, a description will be given of Application Example 1. In the following description, the data processing device 12 will be referred to as a "server" and the smart device 14 will be referred to as a "terminal."

[0192] Conventional pet training systems are limited to use at home and do not support training and instruction in physical stores. Furthermore, they are unable to provide training procedures tailored to the specific conditions and environments within a store, making it difficult to effectively train pets in real-world situations.

[0193] The specific processing by the specific processing unit 290 of the data processing device 12 in the application example 1 is realized by the following means.

[0194] In this invention, the server includes means for accepting user input from a user terminal, means for analyzing the user input and searching for relevant training procedures, means for formatting the training procedures and sending them to the user terminal, means for accepting feedback on the training carried out by the user, means for analyzing the accepted feedback and improving the training procedures, and means for providing procedures that take into account the specific conditions required for training in a store. This makes it possible to provide effective training procedures that are suited to the environment and conditions in a physical store and to improve the procedures using the feedback.

[0195] A "user terminal" is a device that allows a user to input training content and provide confirmation and feedback, and includes electronic devices such as smartphones, tablets, and PCs.

[0196] The "server means" is a server that has the function of receiving data sent from a user terminal, analyzing it, and searching for and providing related information from a database.

[0197] A "training procedure" is a specific step or instruction method for guiding a pet's behavior appropriately.

[0198] "Feedback" is information that the user inputs and sends to the server about the results and progress of training.

[0199] "Analysis" is the process by which the server selects and formats the optimal training procedures based on the data it receives.

[0200] "Formatting" is the process by which the server converts the training instructions into a form that is easy for the user to understand.

[0201] "Specific conditions for training in stores" are training requirements that take into account the specific environment and circumstances of a physical store (for example, contact with other pets and involvement of store staff).

[0202] The present invention relates to a pet training support system for use in a physical store specializing in pet supplies. This system is composed of a user terminal, a server, and related software and databases. Specific embodiments for implementing this invention are described in detail below.

[0203] The system is basically made up of the following components:

[0204] User terminal

[0205] The user terminal is a device that allows the user to input training content and receive feedback accordingly, and can be a smartphone, tablet, PC, etc.

[0206] The user can input training goals and problem behaviors through the device. For example, they can input "I want to teach my dog ​​to sit in the store" by text or voice.

[0207] server

[0208] This is a server that receives and analyzes data sent from user terminals.

[0209] The server analyzes the user's input, searches the database for relevant training procedures, and formats the training procedures taking into account the specific conditions within the store (such as contact with other pets and support from store staff).

[0210] The formatted training procedure is sent from the server to the user terminal, which displays it to the user.

[0211] Software and Databases

[0212] The software is a program that properly sends the user's input to the server and displays the analysis results in an easy-to-understand manner for the user.

[0213] The database stores various training procedures and feedback, which the server uses to search and retrieve.

[0214] Program Operation

[0215] Data entry and analysis

[0216] The user launches the smartphone app and inputs the training goal or problem behavior in the store. For example, they can input text or voice input such as "I want to teach my dog ​​to sit in the store."

[0217] The device captures the input and sends it to the server as structured data, such as JSON.

[0218] Generate and provide training procedures

[0219] The server analyzes the received data and searches a database for relevant training procedures.

[0220] The acquired training procedures are tailored to take into account the specific conditions within the store (e.g., contact with other pets, involvement of store staff).

[0221] The formatted training instructions are sent from the server to the user's device, where they are displayed to the user. Videos and illustrations are also used to make the instructions easier to understand visually.

[0222] Gathering feedback and improving procedures

[0223] The user performs the training and inputs the progress and results into the terminal, for example, "a particular action was successful."

[0224] The terminal sends this feedback to the server, which then analyzes the received feedback.

[0225] If necessary, the training procedure is improved and the user is notified of the new training procedure again.

[0226] Specific examples

[0227] Prompt Sentence Examples

[0228] If a user types "I want to teach you to sit in my store":

[0229] Please enter the training (e.g., sit in the store):

[0230] This will enable the provision of effective training procedures tailored to the environment and conditions within a physical store, and the improvement of the procedures based on that feedback.

[0231] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[0232] Step 1:

[0233] The user launches the smartphone app and inputs the training details. Specifically, the user inputs the training goal, such as "I want to teach my dog ​​to sit in the store," either by text or voice. The input is then imported into the device. The input is captured on the device using a text field or voice recognition function.

[0234] Step 2:

[0235] The device converts the user's input into structured data, such as JSON format, and sends it to the server. The device then encodes the user's input into the appropriate data format and sends it to the server via an HTTP POST request. The server is then ready to receive the user's request. The data sent includes text information about the training goal.

[0236] Step 3:

[0237] The server analyzes the received data and searches the database for appropriate training instructions. The server decodes the received JSON data and analyzes the input using a generative AI model. Based on the analysis results, it searches and extracts relevant training instructions from the database. For example, it selects the training instruction for "sit."

[0238] Step 4:

[0239] The server then formats the training instructions it has acquired, taking into account the specific conditions within the store. The server then adjusts the instructions, taking into account the store's environment and conditions (e.g., contact with other pets, involvement of store staff, etc.), and converts them into a format that is easy for users to understand. For example, it adds videos and illustrations to make the instructions visually easier to understand.

[0240] Step 5:

[0241] The server sends the formatted training instructions to the user device. The server then encodes the formatted instructions into JSON format again and sends it back to the user device as an HTTP response. The user device receives this data and is ready to display the training instructions.

[0242] Step 6:

[0243] The user's device displays the training procedure and provides real-time guidance. The user checks and implements each step of the training procedure through the app. The device displays the procedure in a visual format (video, illustrations, text). For example, instructions such as "Put a toilet sheet on the floor" and "Say a specific command" are displayed.

[0244] Step 7:

[0245] The user performs the training and inputs the results and progress into the device, providing feedback on whether the training was successful or not, and which steps caused problems. The user enters this information through text fields and multiple-choice checkboxes.

[0246] Step 8:

[0247] The device sends user feedback to the server, which analyzes it. The device sends the feedback data in JSON format to the server, which then analyzes the received feedback in detail. The server then uses the feedback to identify areas for improvement in the training process.

[0248] Step 9:

[0249] The server improves the training procedure as needed and provides it to the user again. Based on the analysis results, the server creates a new training procedure and sends it back to the user's terminal. The user confirms the new procedure and performs the training again. This improves the effectiveness and accuracy of the training procedure.

[0250] Furthermore, an emotion engine that estimates the user's emotion may be combined. That is, the identification processing unit 290 may estimate the user's emotion using the emotion identification model 59 and perform identification processing using the user's emotion.

[0251] This invention is a system designed to enable users to effectively train their pets, and aims to further enhance this effect by combining it with an emotion engine that recognizes the user's emotions. This system is composed of a user terminal, a server, an emotion engine, and related software and databases.

[0252] System configuration

[0253] 1. User Device

[0254] User terminals are common electronic devices such as smartphones, tablets, and PCs.

[0255] Users use these devices to input training details and provide feedback.

[0256] The device is equipped with an emotion engine that recognizes the user's emotions.

[0257] 2. Server

[0258] The server receives the data and emotion information sent from the user terminal and performs analysis.

[0259] Based on the analysis results, the appropriate training procedures are retrieved from the database, formatted, and sent to the user's terminal.

[0260] It also improves training procedures based on collected feedback and emotional data.

[0261] 3. Emotion Engine

[0262] The emotion engine recognizes emotions from the user's voice and facial expressions and analyzes that information.

[0263] The emotion engine analyzes the emotions of users in real time as they enter their training content.

[0264] 4. Software and Databases

[0265] The software is a program that sends the user's input and emotional data to a server and displays the analysis results in an easy-to-understand manner for the user.

[0266] The database stores various training procedures, feedback, and emotional data, and is used by the server to search and retrieve them.

[0267] Program Operation

[0268] Accepting user input

[0269] The user terminal is then started, and the user can input the training details into the terminal. For example, specific requests such as "toilet training" or "sitting training" can be input by text or voice. The emotion engine analyzes the user's voice and facial expressions in real time and generates emotion data.

[0270] Sending a request to the server

[0271] The device captures the input and emotion data, converts it into JSON format, and sends the data to the server as an HTTP POST request.

[0272] Generate training procedures

[0273] The server receives the received data and parses the JSON data. From the parsed results, the server extracts the training content (e.g., "toilet training") and the user's emotional data. Based on the emotional data, the server searches the database for the appropriate training procedure and retrieves it.

[0274] Shaping training procedures

[0275] The acquired training instructions are formatted into a format that is easy for the user to understand. For example, it is formatted into steps such as "Step 1: Place a toilet sheet in a specific location" and "Step 2: Take the dog there when it's time to use the toilet." Depending on the emotional data, the system will provide the normal instructions if the user is relaxed, and simplified instructions if the user is stressed.

[0276] Send training instructions

[0277] The server sends the formatted training instructions to the terminal as structured data in JSON format or similar.

[0278] Display of training procedures

[0279] The device analyzes the data received from the server and displays the training procedure to the user. Each step is displayed in detail on the screen. Based on the emotion data, the training procedure is provided in the most appropriate way for the user.

[0280] Collecting feedback

[0281] The user performs training and inputs the progress and results as feedback into the device. At the same time, the emotion engine analyzes the user's emotions in real time during training and generates emotion data.

[0282] Sending feedback and sentiment data

[0283] The device captures feedback and emotion data, converts it into JSON format, and sends the data to the server as an HTTP POST request.

[0284] Server analysis and procedure improvement

[0285] The server analyzes the received feedback and emotional data and stores them in a database. Based on the analysis results, it evaluates the effectiveness of the training procedure and improves it if necessary. Taking the emotional data into account, the improved procedure is provided to the user in an optimal form.

[0286] Specific examples

[0287] Basic training steps

[0288] 1. The user starts up the device and enters "toilet training." The emotion engine analyzes the user's emotions.

[0289] 2. The device sends the input content and emotion data to the server.

[0290] 3. The server retrieves the appropriate procedure from the database, formats it according to the emotion data, and sends it to the device.

[0291] 4. The device displays instructions to the user, such as "Place the toilet sheet in a specific location" and "Praise the user when successful." If the user is relaxed, detailed instructions are displayed, but if the user is stressed, simplified instructions are displayed.

[0292] 5. The user performs the training and provides feedback on the results and progress, which is then entered into the device. The emotion engine analyzes the user's emotions.

[0293] Training in emergency response

[0294] 1. The user starts up the device and enters, "I want my pet to help me in an emergency." The emotion engine analyzes the user's emotions.

[0295] 2. The device sends the input content and emotion data to the server.

[0296] 3. The server retrieves the appropriate emergency response procedures from the database, formats them according to the emotion data, and sends them to the device.

[0297] 4. The device displays instructions to the user, such as "use the alarm bell" or "teach a specific action." The approach is adjusted depending on the user's emotions.

[0298] 5. The user performs the training and provides feedback on the results and progress, which is then entered into the device. The emotion engine analyzes the user's emotions.

[0299] The present invention allows users to effectively train their pets, and by utilizing an emotion engine, it is possible to provide training procedures optimized for the user's mental state, thereby enabling pets to respond to emergency situations faced by their owners.

[0300] The processing flow will be explained below.

[0301] Step 1:

[0302] The user launches the app and enters the training details. They enter the training details, such as "toilet training," into the device's text box and click the send button. Alternatively, they can enter the desired training details via voice input. The emotion engine detects the user's voice and facial expressions in real time and generates emotion data.

[0303] Step 2:

[0304] The device captures the user's input and emotion data, converts it into JSON format, and sends the converted data to the server as an HTTP POST request.

[0305] Step 3:

[0306] The server receives the request and parses the JSON data. The server extracts the training details (e.g., "Toilet training") and emotion data from the parsed results.

[0307] Step 4:

[0308] The server searches the database and retrieves data related to the training content. Specifically, it retrieves "toilet training procedures" from the database.

[0309] Step 5:

[0310] The server formats the training instructions it acquires into a format that is easy for the user to understand. Based on the emotional data, it selects and provides detailed instructions when the user is relaxed, and simplified instructions when the user is stressed.

[0311] Step 6:

[0312] The server sends the formatted training instructions to the terminal as structured data in JSON format or similar.

[0313] Step 7:

[0314] The device analyzes the data received from the server and displays the training procedure to the user. Each step is displayed in detail on the screen. The way the procedure is presented changes based on the emotion data.

[0315] Step 8:

[0316] The user follows the displayed training procedure to train their pet. The user inputs the training progress and results as feedback into the device. At the same time, the emotion engine analyzes the user's emotions in real time during training and generates emotion data.

[0317] Step 9:

[0318] The device captures user feedback and emotion data, converts it into JSON format, and sends it to the server as an HTTP POST request.

[0319] Step 10:

[0320] The server analyzes the received feedback and emotion data and stores it in a database. Based on the analysis results, the effectiveness of the training procedures is evaluated and the procedures are improved if necessary.

[0321] Step 11:

[0322] The server generates an improved training procedure and sends it to the user's device again. The improved procedure is applied, allowing the user to train the dog again. Based on the emotion data, the system supports the user in providing more effective training.

[0323] Specific examples

[0324] Basic training steps

[0325] 1. Step 1: The user starts the device and enters "Toilet training." The emotion engine analyzes the user's emotion.

[0326] 2. Step 2: The device sends the input content and emotion data to the server.

[0327] 3. Step 3: The server retrieves the appropriate procedure from the database, formats it according to the emotion data, and sends it to the terminal.

[0328] 4. Step 4: The device displays instructions to the user, such as "Place the toilet sheet in a specific location" and "Praise the user when successful." If the user is relaxed, detailed instructions are displayed, but if the user is stressed, simplified instructions are displayed.

[0329] 5. Step 5: The user performs the training and provides feedback on the results and progress, which is then entered into the device. The emotion engine analyzes the user's emotions.

[0330] Training in emergency response

[0331] 1. Step 1: The user starts the device and enters "I want my pet to help me in an emergency." The emotion engine analyzes the user's emotion.

[0332] 2. Step 2: The device sends the input content and emotion data to the server.

[0333] 3. Step 3: The server retrieves the appropriate emergency response procedures from the database, formats them according to the emotion data, and sends them to the terminal.

[0334] 4. Step 4: The device displays instructions to the user, such as "Use the alarm bell" or "Teach a specific action." The approach is adjusted depending on the user's emotions.

[0335] 5. Step 5: The user performs the training and provides feedback on the results and progress, which is then entered into the device. The emotion engine analyzes the user's emotions.

[0336] The present invention allows users to effectively train their pets, and by utilizing an emotion engine, it is possible to provide training procedures optimized for the user's mental state, thereby enabling pets to respond to emergency situations faced by their owners.

[0337] Example 2

[0338] Next, a description will be given of Example 2. In the following description, the data processing device 12 will be referred to as a "server" and the smart device 14 will be referred to as a "terminal."

[0339] Conventional pet training systems provide training procedures without taking the user's mental state into consideration, which often leads to stress and ineffective training. Furthermore, they lack the functionality to properly analyze user feedback and improve procedures, making it difficult to sustainably improve the effectiveness of training.

[0340] The specific processing by the specific processing unit 290 of the data processing device 12 in Example 2 is realized by the following means. In this invention, the server includes means for accepting user input from a user terminal, means for analyzing the user's voice and facial expression and generating emotional data, means for capturing the user input and emotional data, converting them into JSON format, and transmitting them to the server, server means for analyzing the user input and searching for relevant discipline procedures, server means for formatting the discipline procedures and emotional data according to the user's mental state and transmitting them to the user terminal, means for accepting feedback and emotional data on the discipline implemented by the user, and means for analyzing the accepted feedback and emotional data and improving the discipline procedures. This makes it possible to provide discipline procedures optimized for the user's mental state and to continuously improve the discipline procedures based on the feedback.

[0341] A "user device" is a common electronic device, such as a smartphone, tablet, or PC, that a user uses to input training content and provide feedback.

[0342] The "server" is a computer system that receives data and emotional information sent from a user terminal, analyzes the data, and provides appropriate training procedures to the user terminal.

[0343] "Emotion data" is data that indicates the user's emotional state and is generated by the emotion engine through analysis of the user's voice and facial expressions.

[0344] "JSON format" is an abbreviation for JavaScript Object Notation, and is a format for expressing data concisely in text format.

[0345] A "training routine" is a step-by-step instruction or method that a user uses to teach a pet a particular behavior or habit.

[0346] "Feedback" refers to information that the user records and reports to the system about the results and progress of training.

[0347] An "emotion engine" is a software or hardware tool that analyzes a user's voice and facial expressions in real time and generates emotion data.

[0348] The present invention is a system designed to enable users to effectively train their pets. The system aims to provide training procedures optimized for the user's mental state by incorporating an emotion engine that recognizes the user's emotions. Specific embodiments for implementing the present invention will be described below.

[0349] System configuration

[0350] The system consists of the following main components:

[0351] 1. User Device

[0352] The user device is a common electronic device such as a smartphone, tablet, or PC. Users use these devices to input training details and provide feedback.

[0353] The device is equipped with an emotion engine that analyzes the user's voice and facial expressions and generates emotion data.

[0354] 2. Server

[0355] The server receives and analyzes the input and emotion data sent from the user's device. Based on the analysis results, it retrieves appropriate training procedures from the database, formats them, and sends them to the user's device.

[0356] It also improves training procedures based on collected feedback and emotional data.

[0357] 3. Emotion Engine

[0358] The emotion engine is software or hardware that analyzes the user's voice and facial expressions in real time and generates emotion data.

[0359] 4. Software and Databases

[0360] The software is a program that sends the user's input and emotional data to a server and displays the analysis results in an easy-to-understand manner for the user.

[0361] The database stores various training procedures, feedback, and emotional data, and is used by the server for searching and retrieving.

[0362] Program Operation

[0363] The outline of the program operation in this system is as follows.

[0364] Accepting user input

[0365] The user turns on the device and inputs specific training instructions, such as "toilet training" or "sitting training." The emotion engine analyzes the user's voice and facial expressions in real time and generates emotion data.

[0366] Sending a request to the server

[0367] The device captures the input and emotion data, converts it into JSON format, and sends the data to the server as an HTTP POST request.

[0368] Generate training procedures

[0369] The server analyzes the received data, extracts the training content and the user's emotional data, and searches the database for the appropriate training procedure.

[0370] Shaping training procedures

[0371] The acquired training instructions are formatted in a format that is easy for the user to understand. For example, they can be divided into steps such as "Step 1: Place a toilet sheet in a specific location" and "Step 2: Take your dog there when it's time to use the toilet." Depending on the emotional data, detailed instructions are provided if the user is relaxed, and simplified instructions are provided if the user is stressed.

[0372] Send and view training instructions

[0373] The formatted training instructions are sent from the server to the terminal. The user terminal analyzes the received data and displays the training instructions to the user. Based on the emotion data, the training instructions are provided in the most appropriate way for the user.

[0374] Collecting feedback

[0375] The user performs training and inputs the progress and results as feedback to the device. At the same time, the emotion engine analyzes the user's emotions in real time during training and generates emotion data.

[0376] Sending and analyzing feedback and sentiment data

[0377] The device captures feedback and emotion data, converts it into JSON format, and sends it to the server. The server analyzes the received feedback and emotion data and stores it in a database. Based on the analysis results, the effectiveness of the training procedure is evaluated and the procedure is improved if necessary. Taking the emotion data into consideration, the improved procedure is provided to the user in the most optimal form.

[0378] Specific examples

[0379] Below are some specific examples of using this system.

[0380] Examples of basic training steps

[0381] 1. The user starts the device and inputs "toilet training." The emotion engine analyzes the user's emotions.

[0382] 2. The device sends the input content and emotion data to the server.

[0383] 3. The server retrieves the appropriate procedure from the database, formats it according to the emotion data, and sends it to the device.

[0384] 4. The device displays instructions to the user, such as "Place the toilet sheet in a specific location" and "Praise the user when successful." If the user is relaxed, detailed instructions are displayed, but if the user is stressed, simplified instructions are displayed.

[0385] 5. The user performs the training and enters the results and progress into the device. The emotion engine analyzes the user's emotions again.

[0386] In this way, the present system provides training procedures that are optimized for the user's mental state, enabling continuous improvement in the effectiveness of training.

[0387] The flow of the identification process in the second embodiment will be described with reference to FIG.

[0388] Step 1:

[0389] The user starts up the device and inputs specific training instructions, such as "toilet training" or "sitting training," using text or voice. The emotion engine analyzes the user's voice and facial expressions in real time and generates emotion data.

[0390] Input: Training content (text or voice), user's voice and facial expressions

[0391] Output: Training details, emotional data

[0392] Step 2:

[0393] The device captures the input training content and generated emotion data, converts it into JSON format, and sends the converted data to the server as an HTTP POST request.

[0394] Input: Training details, emotional data

[0395] Output: JSON formatted data, HTTP POST request

[0396] Step 3:

[0397] The server analyzes the received data, extracts the training content and emotion data from the JSON data, and searches the database for the relevant training procedures.

[0398] Input: JSON format data

[0399] Output: Training content, emotional data, appropriate training procedures

[0400] Step 4:

[0401] The server formats the training instructions it receives into a format that is easy for the user to understand. For example, it divides the instructions into steps, such as "Step 1: Place a toilet sheet in a specific location" and "Step 2: Take the dog there when it's time to use the toilet." Based on the emotional data, it provides detailed instructions if the user is relaxed, and simplified instructions if the user is stressed.

[0402] Input: Training procedures, emotion data

[0403] Output: Formatted training instructions

[0404] Step 5:

[0405] The server sends the formatted training instructions to the terminal as structured data in JSON format.

[0406] Input: Formatted training instructions

[0407] Output: Structured data in JSON format

[0408] Step 6:

[0409] The device analyzes the received JSON data and displays training instructions to the user. Each step is displayed in detail on the screen. Based on the emotion data, training instructions are provided in the most appropriate way for the user.

[0410] Input: Structured data in JSON format

[0411] Output: Training instructions displayed on the screen

[0412] Step 7:

[0413] The user performs training and inputs the progress and results as feedback into the device. At the same time, the emotion engine analyzes the user's emotions in real time during training and generates emotion data.

[0414] Input: Training results, user's voice and facial expressions

[0415] Output: Feedback, emotion data

[0416] Step 8:

[0417] The device captures the feedback and emotion data, converts it back into JSON format, and sends it to the server.

[0418] Input: Feedback, emotion data

[0419] Output: JSON formatted data, HTTP POST request

[0420] Step 9:

[0421] The server analyzes the received feedback and emotional data and stores them in a database. Based on this analysis, it evaluates the effectiveness of the training program and improves it if necessary. Taking the emotional data into account, the improved program is then provided to the user in an optimal format.

[0422] Input: Feedback, emotion data

[0423] Output: Improved training procedure

[0424] (Application example 2)

[0425] Next, a description will be given of Application Example 2. In the following description, the data processing device 12 will be referred to as a "server" and the smart device 14 will be referred to as a "terminal."

[0426] Conventional food delivery services often offer a uniform menu without considering the user's emotional state. This makes it difficult to provide a menu that best suits a user's situation, such as when they are feeling stressed or when they want to relax. Furthermore, the ordering process is not customized according to the user's emotional state, resulting in a uniform user experience and lower satisfaction.

[0427] The specific processing by the specific processing unit 290 of the data processing device 12 in Application Example 2 is realized by the following means. In this invention, the server includes means for accepting user input from a user terminal, server means for analyzing the user input and searching for related training procedures, means for analyzing the user's emotions in real time using an emotion engine, means for optimizing the training procedures based on the analyzed emotion data, and means for making personalized suggestions based on the user's emotion data. This makes it possible to provide optimal menu suggestions and customized ordering procedures based on the user's emotional state.

[0428] A "user terminal" is an electronic device used by a user to send input and receive training protocol suggestions.

[0429] The "emotion engine" is a system that has the function of analyzing the user's emotional state from their voice and facial expressions.

[0430] The "server means" is a device or system for receiving data sent from a user terminal, analyzing the data, and providing related information.

[0431] "Feedback" means that the user inputs the results and progress of training into the terminal.

[0432] "Personalized suggestions" refers to making suggestions optimized for individual users based on the user's emotional data.

[0433] "Analyzed emotion data" is data obtained as a result of analyzing the user's emotional state using the emotion engine.

[0434] A "training protocol" is a specific step or method for teaching a particular behavior or rule.

[0435] The system for realizing this invention is composed of a user terminal, a server, an emotion engine, and related software and databases. The specific roles and operations of each are described below.

[0436] User terminal

[0437] Users access the food delivery application using a user device such as a smartphone, tablet, or PC. The device accepts the user's input in voice or text format and analyzes the user's emotions in real time using an emotion engine. The analysis results are then sent from the user device to the server.

[0438] Server Means

[0439] The server receives and analyzes the input and emotional data sent from the user's device. Based on the analysis results, it makes recommendations for appropriate food and drinks. These recommendations are personalized based on the user's emotional data and optimized for the user's emotional state. Based on the analyzed emotional data, it optimizes training procedures and sends them to the user's device.

[0440] Emotion Engine

[0441] The emotion engine is a system that recognizes emotions from the user's voice and facial expressions in real time and analyzes the data. The emotion data generated by the emotion engine is sent to a server and used to optimize the content of suggestions.

[0442] Software and Databases

[0443] The software is a program that sends user input and emotional data to the server and displays suggestions from the server to the user. The database stores various food and drink suggestions, feedback, and emotional data, which the server uses for searching and retrieving.

[0444] Specific examples

[0445] Let's say a user launches a food delivery app and types "I want green tea." At this time, the emotion engine analyzes the user's emotional state. If it determines that the user is feeling stressed, the server will suggest options with a relaxing effect. For example, it will suggest drinks that are expected to have a relaxing effect, such as "chamomile tea" or "lavender tea." If the user is relaxed, it will suggest standard drinks such as "matcha latte" or "hojicha latte."

[0446] Prompt Sentence Examples

[0447] When using a generative AI model to make menu suggestions based on the user's emotional state, possible prompts include:

[0448] "What would be the perfect menu suggestion for a user experiencing stress while using a food delivery app? Give specific examples of drinks or snacks that would help them relax and explain why."

[0449] This prompt allows the generative AI model to suggest the most appropriate menu for the user's condition, improving the user experience.

[0450] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[0451] Step 1:

[0452] Users launch the food delivery app on their smartphone, tablet, or PC and enter their order details by voice or text. The entered details are stored on the device and are analyzed by the emotion engine.

[0453] Input: User's order details (e.g. "I want green tea")

[0454] Output: User order details data

[0455] Step 2:

[0456] The device uses a built-in camera and microphone to capture the user's facial expressions and voice, and passes them to the emotion engine, which analyzes them in real time to determine the user's emotional state.

[0457] Input: User's facial expressions and voice data

[0458] Output: Analyzed emotion data (e.g., stress state)

[0459] Step 3:

[0460] The device converts the user's input and analyzed emotion data into JSON format and sends it to the server as an HTTP POST request.

[0461] Input: User order data, analyzed emotion data

[0462] Output: Request data in JSON format

[0463] Step 4:

[0464] The server analyzes the received JSON data, extracts the user's order details and emotional data, and generates appropriate menu suggestions based on the extracted information and emotional data.

[0465] Input: Request data in JSON format

[0466] Output: Analysis results (order details, emotion data), suggested menu data

[0467] Step 5:

[0468] The server formats the suggested menu in a format optimized for the user's emotional state, converts it back into JSON format, and sends it to the user's device.

[0469] Input: Proposed menu data

[0470] Output: JSON data of the user-optimized suggestion menu

[0471] Step 6:

[0472] The terminal parses the JSON data of the proposed menu received from the server and displays it to the user. The user selects from the displayed proposed menu and confirms the order.

[0473] Input: JSON data of the suggestion menu

[0474] Output: An optimized suggestion menu presented to the user

[0475] Step 7:

[0476] After the user confirms the order, the terminal captures the order details and the re-analyzed emotion data as feedback and transmits them to the server again.

[0477] Input: Order confirmation details, emotional feedback data

[0478] Output: Feedback data in JSON format

[0479] Step 8:

[0480] The server analyzes the received feedback data and stores it in a database, which can then be used to improve future suggestions.

[0481] Input: Feedback data in JSON format

[0482] Output: Stores analyzed feedback data

[0483] The specific processing unit 290 transmits the result of the specific processing to the smart device 14. In the smart device 14, the control unit 46A causes the output device 40 to output the result of the specific processing. The microphone 38B acquires audio indicating a user input regarding the result of the specific processing. The control unit 46A transmits audio data indicating the user input acquired by the microphone 38B to the data processing device 12. In the data processing device 12, the specific processing unit 290 acquires the audio data.

[0484] The data generation model 58 is a so-called generative AI (Artificial Intelligence). An example of the data generation model 58 is ChatGPT (Internet Search<URL: https: / / openai.com / blog / chatgpt> ), Gemini (Internet search<url: https: gemini.google.com ?hl="ja">) and other generation AIs. The data generation model 58 is obtained by performing deep learning on a neural network. A prompt including an instruction is input to the data generation model 58, and inference data such as voice data indicating voice, text data indicating text, and image data indicating an image is also input. The data generation model 58 performs inference on the input inference data in accordance with the instruction indicated by the prompt, and outputs the inference result in a data format such as voice data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization.

[0485] In the above embodiment, an example in which the specific process is performed by the data processing device 12 has been given, but the technology of the present disclosure is not limited to this, and the specific process may be performed by the smart device 14.

[0486] [Second embodiment]

[0487] FIG. 3 shows an example of the configuration of a data processing system 210 according to the second embodiment.

[0488] 3, the data processing system 210 includes the data processing device 12 and smart glasses 214. An example of the data processing device 12 is a server.

[0489] The data processing device 12 includes a computer 22, a database 24, and a communication I / F 26. The computer 22 is an example of a "computer" according to the technology of the present disclosure. The computer 22 includes a processor 28, a RAM 30, and a storage 32. The processor 28, the RAM 30, and the storage 32 are connected to a bus 34. The database 24 and the communication I / F 26 are also connected to the bus 34. The communication I / F 26 is connected to a network 54. Examples of the network 54 include a WAN (Wide Area Network) and / or a LAN (Local Area Network).

[0490] The smart glasses 214 include a computer 36, a microphone 238, a speaker 240, a camera 42, and a communication I / F 44. The computer 36 includes a processor 46, a RAM 48, and a storage 50. The processor 46, the RAM 48, and the storage 50 are connected to a bus 52. The microphone 238, the speaker 240, and the camera 42 are also connected to the bus 52.

[0491] The microphone 238 receives instructions and the like from the user 20 by receiving voice uttered by the user 20. The microphone 238 captures the voice uttered by the user 20, converts the captured voice into audio data, and outputs it to the processor 46. The speaker 240 outputs audio in accordance with instructions from the processor 46.

[0492] Camera 42 is a small digital camera equipped with an optical system including a lens, aperture, and shutter, and an imaging element such as a CMOS (Complementary Metal-Oxide-Semiconductor) image sensor or a CCD (Charge Coupled Device) image sensor, and captures images of the surroundings of user 20 (for example, an imaging range defined by an angle of view equivalent to the field of vision of a typical healthy person).

[0493] The communication I / F 44 is connected to a network 54. The communication I / Fs 44 and 26 are responsible for the exchange of various information between the processor 46 and the processor 28 via the network 54. The exchange of various information between the processor 46 and the processor 28 using the communication I / Fs 44 and 26 is carried out in a secure state.

[0494] Fig. 4 shows an example of the main functions of the data processing device 12 and the smart glasses 214. As shown in Fig. 4, in the data processing device 12, a specific process is performed by the processor 28. A specific process program 56 is stored in the storage 32.

[0495] The specific processing program 56 is an example of a "program" according to the technology of the present disclosure. The processor 28 reads the specific processing program 56 from the storage 32 and executes the read specific processing program 56 on the RAM 30. The specific processing is realized by the processor 28 operating as a specific processing unit 290 in accordance with the specific processing program 56 executed on the RAM 30.

[0496] The storage 32 stores a data generation model 58 and an emotion identification model 59. The data generation model 58 and the emotion identification model 59 are used by the identification processing unit 290.

[0497] In the smart glasses 214, the reception output process is performed by the processor 46. A reception output program 60 is stored in the storage 50. The processor 46 reads the reception output program 60 from the storage 50 and executes the read reception output program 60 on the RAM 48. The reception output process is realized by the processor 46 operating as the control unit 46A in accordance with the reception output program 60 executed on the RAM 48.

[0498] Next, a description will be given of the identification process performed by the identification processing unit 290 of the data processing device 12. In the following description, the data processing device 12 will be referred to as the "server" and the smart glasses 214 will be referred to as the "terminal."

[0499] The present invention is a system designed to enable users to effectively train their pets. This system is composed of a user terminal, a server, and related software and databases. Specific embodiments for carrying out the present invention are described below.

[0500] overview

[0501] The system allows users to input training instructions via their devices, and the server analyzes the input to provide appropriate training procedures. It also has the ability to collect feedback on the training provided by users and improve the training procedures as necessary.

[0502] System configuration

[0503] 1. User Device

[0504] User terminals are common electronic devices such as smartphones, tablets, and PCs.

[0505] Users use these devices to input training details and provide feedback.

[0506] 2. Server

[0507] The server receives and analyzes the data sent from the user terminal.

[0508] Based on the analysis results, the appropriate training procedures are retrieved from the database, formatted, and sent to the user's terminal.

[0509] We also improve our training procedures based on the feedback we collect.

[0510] 3. Software and Databases

[0511] The software is a program that properly transmits the user's input to the server and displays the analysis results to the user in an easy-to-understand manner.

[0512] The database stores various training procedures and feedback, and is used by the server for searching and retrieving.

[0513] Program Operation

[0514] Accepting user input

[0515] The user terminal is then activated, and the user can input training requests into the terminal, for example, specific requests such as "toilet training" or "sit training" by text or voice.

[0516] Sending a request to the server

[0517] The device captures the input and sends it to the server, where the data is sent as structured data, such as JSON.

[0518] Generate training procedures

[0519] The server analyzes the received data and searches the database for relevant training instructions, which are then formatted into a user-friendly format, such as "Toilet Training Instructions" or "Emergency Response Training."

[0520] Send training instructions

[0521] The formatted training instructions are sent from the server to the user's terminal, which displays them to the user, allowing the user to check detailed guidelines for each step.

[0522] Collecting feedback

[0523] The user performs the training and inputs the progress and results into the terminal. The terminal sends this feedback to the server, which receives it and stores it in a database.

[0524] Improved training procedures

[0525] The server analyzes the collected feedback, identifies problems with the training protocol, improves it as needed, and provides the user with a new protocol.

[0526] Specific examples

[0527] Basic training steps

[0528] 1. The user starts the terminal and enters "toilet training."

[0529] 2. The device sends the input to the server.

[0530] 3. The server retrieves the appropriate instructions from the database, formats them, and sends them to the terminal.

[0531] 4. The device displays instructions to the user, such as "Place the toilet sheet in a specific location" and "Praise the user if successful."

[0532] 5. The user performs the training and inputs the results and progress as feedback into the device.

[0533] Training in emergency response

[0534] 1. The user starts up the terminal and enters, "I want my pet to help me in an emergency."

[0535] 2. The device sends the input to the server.

[0536] 3. The server retrieves the appropriate emergency response procedures from the database, formats them, and sends them to the device.

[0537] 4. The device displays instructions to the user, such as "Use the alarm bell" or "Teach a specific action."

[0538] 5. The user performs the training and inputs the results and progress as feedback into the device.

[0539] The present invention allows users to effectively train their pets and enables pets to respond to emergency situations for their owners.

[0540] The processing flow will be explained below.

[0541] Step 1:

[0542] The user launches the app and enters the training details. The user enters the training details, such as "toilet training," into the text box on the device and clicks the send button. Alternatively, the user can enter the desired training details using voice input.

[0543] Step 2:

[0544] The device captures the user's input and converts it to JSON format, which is then sent to the server as an HTTP POST request.

[0545] Step 3:

[0546] The server receives the request, parses the JSON data, and extracts the training content (e.g., "toilet training") from the parsed results.

[0547] Step 4:

[0548] The server searches the database and retrieves data related to the training content. Specifically, it retrieves "toilet training procedures" from the database.

[0549] Step 5:

[0550] The server formats the training instructions it receives into a format that is easy for the user to understand. For example, it divides the instructions into steps such as "Step 1: Place a toilet sheet in a specific location" and "Step 2: Take the dog there when it's time to use the toilet."

[0551] Step 6:

[0552] The server sends the formatted training instructions to the terminal as structured data in JSON format or similar.

[0553] Step 7:

[0554] The device analyzes the data received from the server and displays the training procedure to the user, with each step displayed in detail on the screen.

[0555] Step 8:

[0556] The user follows the displayed training procedure to train the pet, and inputs the training progress and results as feedback to the terminal.

[0557] Step 9:

[0558] The device captures user feedback and converts it into JSON format, which is then sent to the server as an HTTP POST request.

[0559] Step 10:

[0560] The server analyzes the received feedback and stores it in a database, where it evaluates the effectiveness of the training procedures and improves them if necessary.

[0561] Step 11:

[0562] The server generates an improved training procedure and sends it to the user terminal again. The improved procedure is applied, and the user can once again train the dog.

[0563] Example 1

[0564] Next, a description will be given of Example 1. In the following description, the data processing device 12 will be referred to as a "server" and the smart glasses 214 will be referred to as a "terminal."

[0565] Conventional pet training systems have had difficulty in quickly obtaining the appropriate training procedures for users to effectively train their pet. Furthermore, they lacked the functionality to efficiently collect feedback on the progress and results of training and improve the training procedures. This resulted in the problem of not maximizing the effectiveness of training and not achieving the results users expected.

[0566] The specific processing by the specific processing unit 290 of the data processing device 12 in the first embodiment is realized by the following means.

[0567] In this invention, the server includes a means for accepting user input from a user terminal, a data analysis means for analyzing the user input and searching for relevant behavioral training procedures, and a data transmission means for formatting the behavioral training procedures and transmitting them to the user terminal. This allows users to train their pets efficiently and effectively. Furthermore, the system collects and analyzes user feedback and improves the training procedures, thereby improving the effectiveness of training and enabling users to achieve better results.

[0568] A "user terminal" is an electronic device such as a smartphone, tablet, or personal computer that provides an interface for a user to operate.

[0569] "Input content" refers to information that the user inputs through the terminal, and includes training requests, feedback, and the like.

[0570] The "data analysis means" is a part of the server that has the function of analyzing the user input content and searching and generating the related behavioral guidance procedure.

[0571] "Behavioral training procedures" are guidelines that show the specific steps and procedures required for training pets, and are stored in a database.

[0572] The "data transmission means" is a part of the server that has a function for transmitting the formatted behavior instruction procedure to the user terminal.

[0573] "Feedback" is information provided by the user about the progress and results of training, which is used to improve the system.

[0574] A "system" is a collection of information processing devices including user terminals, servers, related software and databases.

[0575] The present invention is a system that allows users to effectively train their pets. This system consists of a user terminal, a server, and related software and databases. Specifically, the user inputs training instructions into the terminal, and the server analyzes the input and provides appropriate training procedures. Furthermore, the system has the function of collecting feedback on the training the user has performed and improving the training procedures as necessary.

[0576] Hardware and software used

[0577] User devices: smartphones (iPhone, Android), tablets, personal computers

[0578] Server: Cloud server (AWS or Google Cloud Platform)

[0579] Software: React and Vue.js are used for the front end, Node.js and Django for the back end, and MySQL, PostgreSQL, MongoDB, etc. are used for the database.

[0580] System configuration

[0581] 1. User Device

[0582] User terminals are common electronic devices such as smartphones, tablets, and PCs.

[0583] Users use these devices to input training details and provide feedback.

[0584] 2. Server

[0585] The server receives and analyzes the data sent from the user terminal.

[0586] Based on the analysis results, the appropriate training procedures are retrieved from the database, formatted, and sent to the user's terminal.

[0587] We also improve our training procedures based on the feedback we collect.

[0588] 3. Software and Databases

[0589] The software is used to properly send the user's input to the server and display the analysis results in an easy-to-understand manner for the user.

[0590] The database is used to store various training procedures and feedback, and is used by the server for searching and retrieving.

[0591] Specific examples

[0592] Basic training steps

[0593] 1. The user starts the terminal and enters "toilet training."

[0594] 2. The device sends the input to the server.

[0595] 3. The server retrieves the appropriate instructions from the database, formats them, and sends them to the terminal.

[0596] 4. The device displays instructions to the user, such as "Place the toilet sheet in a specific location" and "Praise the user if successful."

[0597] 5. The user performs the training and inputs the results and progress as feedback into the device.

[0598] Training in emergency response

[0599] 1. The user starts up the terminal and enters, "I want my pet to help me in an emergency."

[0600] 2. The device sends the input to the server.

[0601] 3. The server retrieves the appropriate emergency response procedures from the database, formats them, and sends them to the device.

[0602] 4. The device displays instructions to the user, such as "Use the alarm bell" or "Teach a specific action."

[0603] 5. The user performs the training and inputs the results and progress as feedback into the device.

[0604] Prompt Sentence Examples

[0605] "Please tell me the steps to toilet training my pet."

[0606] This allows users to easily learn effective and appropriate training procedures and efficiently train their pets. Furthermore, by improving the procedures based on feedback, it is possible to continuously improve the effectiveness of training.

[0607] The flow of the identification process in the first embodiment will be described with reference to FIG.

[0608] Step 1:

[0609] The user starts the terminal and inputs the training content.

[0610] Input: The user turns on their smartphone or tablet, opens the training app, and enters the training instructions into the app's input field, either by typing text such as "toilet training" or by using voice input.

[0611] Specific action: The user types "toilet training" and presses the send button.

[0612] Output: The device temporarily stores the input in its internal memory.

[0613] Step 2:

[0614] The device captures the input and sends it to the server.

[0615] Input: User-entered discipline (text or audio data)

[0616] What it does: The device converts the input text or voice data into JSON format and sends it to the server's API endpoint using an HTTP POST request.

[0617] Output: Sent to the server as structured data.

[0618] Step 3:

[0619] The server analyzes the data and retrieves the appropriate training instructions from a database.

[0620] Input: JSON formatted discipline request data received by the server

[0621] What it does: The server uses a natural language processing (NLP) engine to analyze the incoming data and extract keywords like "toilet" or "training," then runs a database query to find the appropriate training instructions.

[0622] Output: Relevant training procedure data retrieved from the database

[0623] Step 4:

[0624] The server formats the training procedure it has acquired and sends it to the terminal.

[0625] Input: Discipline procedure data retrieved from the database

[0626] What it does: The server formats the training instructions into a format that's easy for the user to understand. For example, it might use Markdown or HTML to format each step. It then converts the formatted data back into JSON and sends it to the user's device as an HTTP response.

[0627] Output: Formatted training sequence data is sent to the terminal.

[0628] Step 5:

[0629] The terminal displays the training procedure to the user.

[0630] Input: Formatted training protocol data received from the server

[0631] What it does: The device analyzes the data it receives and displays it in the app's interface. It displays step-by-step instructions in bulleted form for the user to see. For example, it might say, "Put the toilet paper in a specific place" or "Praise the user when they succeed."

[0632] Output: Visually displayed training instructions

[0633] Step 6:

[0634] The user carries out the training and inputs the results into the terminal.

[0635] Input: The results and progress of the training performed by the user

[0636] Specific operation: The user follows the training procedure to train their pet and enters the results in the feedback form within the app, for example, by selecting an appropriate option such as "Successful" or "Failed partway through."

[0637] Output: Feedback data entered into the terminal

[0638] Step 7:

[0639] The device sends the feedback to the server.

[0640] Input: User-entered feedback data

[0641] Specific operation: The device converts the feedback data into JSON format and sends it again to the server's API endpoint as an HTTP POST request.

[0642] Output: Feedback data sent to the server as structured data

[0643] Step 8:

[0644] The server analyzes the feedback and improves the training procedures as needed.

[0645] Input: Received feedback data

[0646] Specific actions: The server analyzes the feedback data and identifies the problems the user is having and areas for improvement. It uses NLP and machine learning algorithms to extract specific problem areas.

[0647] Output: List of areas needing improvement and revised discipline procedures

[0648] Step 9:

[0649] The server sends the improved procedure to the terminal and provides it to the user.

[0650] Input: Revised discipline procedures

[0651] Specific operation: The server formats the revised instructions, converts them back into JSON format, and sends them to the user's terminal.

[0652] Output: The revised training sequence is sent to the terminal and displayed to the user.

[0653] (Application example 1)

[0654] Next, a description will be given of Application Example 1. In the following description, the data processing device 12 will be referred to as a "server" and the smart glasses 214 will be referred to as a "terminal."

[0655] Conventional pet training systems are limited to use at home and do not support training and instruction in physical stores. Furthermore, they are unable to provide training procedures tailored to the specific conditions and environments within a store, making it difficult to effectively train pets in real-world situations.

[0656] The specific processing by the specific processing unit 290 of the data processing device 12 in the application example 1 is realized by the following means.

[0657] In this invention, the server includes means for accepting user input from a user terminal, means for analyzing the user input and searching for relevant training procedures, means for formatting the training procedures and sending them to the user terminal, means for accepting feedback on the training carried out by the user, means for analyzing the accepted feedback and improving the training procedures, and means for providing procedures that take into account the specific conditions required for training in a store. This makes it possible to provide effective training procedures that are suited to the environment and conditions in a physical store and to improve the procedures using the feedback.

[0658] A "user terminal" is a device that allows a user to input training content and provide confirmation and feedback, and includes electronic devices such as smartphones, tablets, and PCs.

[0659] The "server means" is a server that has the function of receiving data sent from a user terminal, analyzing it, and searching for and providing related information from a database.

[0660] A "training procedure" is a specific step or instruction method for guiding a pet's behavior appropriately.

[0661] "Feedback" is information that the user inputs and sends to the server about the results and progress of training.

[0662] "Analysis" is the process by which the server selects and formats the optimal training procedures based on the data it receives.

[0663] "Formatting" is the process by which the server converts the training instructions into a form that is easy for the user to understand.

[0664] "Specific conditions for training in stores" are training requirements that take into account the specific environment and circumstances of a physical store (for example, contact with other pets and involvement of store staff).

[0665] The present invention relates to a pet training support system for use in a physical store specializing in pet supplies. This system is composed of a user terminal, a server, and related software and databases. Specific embodiments for implementing this invention are described in detail below.

[0666] The system is basically made up of the following components:

[0667] User terminal

[0668] The user terminal is a device that allows the user to input training content and receive feedback accordingly, and can be a smartphone, tablet, PC, etc.

[0669] The user can input training goals and problem behaviors through the device. For example, they can input "I want to teach my dog ​​to sit in the store" by text or voice.

[0670] server

[0671] This is a server that receives and analyzes data sent from user terminals.

[0672] The server analyzes the user's input, searches the database for relevant training procedures, and formats the training procedures taking into account the specific conditions within the store (such as contact with other pets and support from store staff).

[0673] The formatted training procedure is sent from the server to the user terminal, which displays it to the user.

[0674] Software and Databases

[0675] The software is a program that properly sends the user's input to the server and displays the analysis results in an easy-to-understand manner for the user.

[0676] The database stores various training procedures and feedback, which the server uses to search and retrieve.

[0677] Program Operation

[0678] Data entry and analysis

[0679] The user launches the smartphone app and inputs the training goal or problem behavior in the store. For example, they can input text or voice input such as "I want to teach my dog ​​to sit in the store."

[0680] The device captures the input and sends it to the server as structured data, such as JSON.

[0681] Generate and provide training procedures

[0682] The server analyzes the received data and searches a database for relevant training procedures.

[0683] The acquired training procedures are tailored to take into account the specific conditions within the store (e.g., contact with other pets, involvement of store staff).

[0684] The formatted training instructions are sent from the server to the user's device, where they are displayed to the user. Videos and illustrations are also used to make the instructions easier to understand visually.

[0685] Gathering feedback and improving procedures

[0686] The user performs the training and inputs the progress and results into the terminal, for example, "a particular action was successful."

[0687] The terminal sends this feedback to the server, which then analyzes the received feedback.

[0688] If necessary, the training procedure is improved and the user is notified of the new training procedure again.

[0689] Specific examples

[0690] Prompt Sentence Examples

[0691] If a user types "I want to teach you to sit in my store":

[0692] Please enter the training (e.g., sit in the store):

[0693] This will enable the provision of effective training procedures tailored to the environment and conditions within a physical store, and the improvement of the procedures based on that feedback.

[0694] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[0695] Step 1:

[0696] The user launches the smartphone app and inputs the training details. Specifically, the user inputs the training goal, such as "I want to teach my dog ​​to sit in the store," either by text or voice. The input is then imported into the device. The input is captured on the device using a text field or voice recognition function.

[0697] Step 2:

[0698] The device converts the user's input into structured data, such as JSON format, and sends it to the server. The device then encodes the user's input into the appropriate data format and sends it to the server via an HTTP POST request. The server is then ready to receive the user's request. The data sent includes text information about the training goal.

[0699] Step 3:

[0700] The server analyzes the received data and searches the database for appropriate training instructions. The server decodes the received JSON data and analyzes the input using a generative AI model. Based on the analysis results, it searches and extracts relevant training instructions from the database. For example, it selects the training instruction for "sit."

[0701] Step 4:

[0702] The server then formats the training instructions it has acquired, taking into account the specific conditions within the store. The server then adjusts the instructions, taking into account the store's environment and conditions (e.g., contact with other pets, involvement of store staff, etc.), and converts them into a format that is easy for users to understand. For example, it adds videos and illustrations to make the instructions visually easier to understand.

[0703] Step 5:

[0704] The server sends the formatted training instructions to the user device. The server then encodes the formatted instructions into JSON format again and sends it back to the user device as an HTTP response. The user device receives this data and is ready to display the training instructions.

[0705] Step 6:

[0706] The user's device displays the training procedure and provides real-time guidance. The user checks and implements each step of the training procedure through the app. The device displays the procedure in a visual format (video, illustrations, text). For example, instructions such as "Put a toilet sheet on the floor" and "Say a specific command" are displayed.

[0707] Step 7:

[0708] The user performs the training and inputs the results and progress into the device, providing feedback on whether the training was successful or not, and which steps caused problems. The user enters this information through text fields and multiple-choice checkboxes.

[0709] Step 8:

[0710] The device sends user feedback to the server, which analyzes it. The device sends the feedback data in JSON format to the server, which then analyzes the received feedback in detail. The server then uses the feedback to identify areas for improvement in the training process.

[0711] Step 9:

[0712] The server improves the training procedure as needed and provides it to the user again. Based on the analysis results, the server creates a new training procedure and sends it back to the user's terminal. The user confirms the new procedure and performs the training again. This improves the effectiveness and accuracy of the training procedure.

[0713] Furthermore, an emotion engine that estimates the user's emotion may be further combined. That is, the identification processing unit 290 may estimate the user's emotion using the emotion identification model 59, and perform identification processing using the user's emotion.

[0714] This invention is a system designed to enable users to effectively train their pets, and aims to further enhance this effect by combining it with an emotion engine that recognizes the user's emotions. This system is composed of a user terminal, a server, an emotion engine, and related software and databases.

[0715] System configuration

[0716] 1. User Device

[0717] User terminals are common electronic devices such as smartphones, tablets, and PCs.

[0718] Users use these devices to input training details and provide feedback.

[0719] The device is equipped with an emotion engine that recognizes the user's emotions.

[0720] 2. Server

[0721] The server receives the data and emotion information sent from the user terminal and performs analysis.

[0722] Based on the analysis results, the appropriate training procedures are retrieved from the database, formatted, and sent to the user's terminal.

[0723] It also improves training procedures based on collected feedback and emotional data.

[0724] 3. Emotion Engine

[0725] The emotion engine recognizes emotions from the user's voice and facial expressions and analyzes that information.

[0726] The emotion engine analyzes the emotions of users in real time as they enter their training content.

[0727] 4. Software and Databases

[0728] The software is a program that sends the user's input and emotional data to a server and displays the analysis results in an easy-to-understand manner for the user.

[0729] The database stores various training procedures, feedback, and emotional data, and is used by the server to search and retrieve them.

[0730] Program Operation

[0731] Accepting user input

[0732] The user terminal is then started, and the user can input the training details into the terminal. For example, specific requests such as "toilet training" or "sitting training" can be input by text or voice. The emotion engine analyzes the user's voice and facial expressions in real time and generates emotion data.

[0733] Sending a request to the server

[0734] The device captures the input and emotion data, converts it into JSON format, and sends the data to the server as an HTTP POST request.

[0735] Generate training procedures

[0736] The server receives the received data and parses the JSON data. From the parsed results, the server extracts the training content (e.g., "toilet training") and the user's emotional data. Based on the emotional data, the server searches the database for the appropriate training procedure and retrieves it.

[0737] Shaping training procedures

[0738] The acquired training instructions are formatted into a format that is easy for the user to understand. For example, it is formatted into steps such as "Step 1: Place a toilet sheet in a specific location" and "Step 2: Take the dog there when it's time to use the toilet." Depending on the emotional data, the system will provide the normal instructions if the user is relaxed, and simplified instructions if the user is stressed.

[0739] Send training instructions

[0740] The server sends the formatted training instructions to the terminal as structured data in JSON format or similar.

[0741] Display of training procedures

[0742] The device analyzes the data received from the server and displays the training procedure to the user. Each step is displayed in detail on the screen. Based on the emotion data, the training procedure is provided in the most appropriate way for the user.

[0743] Collecting feedback

[0744] The user performs training and inputs the progress and results as feedback into the device. At the same time, the emotion engine analyzes the user's emotions in real time during training and generates emotion data.

[0745] Sending feedback and sentiment data

[0746] The device captures feedback and emotion data, converts it into JSON format, and sends the data to the server as an HTTP POST request.

[0747] Server analysis and procedure improvement

[0748] The server analyzes the received feedback and emotional data and stores them in a database. Based on the analysis results, it evaluates the effectiveness of the training procedure and improves it if necessary. Taking the emotional data into account, the improved procedure is provided to the user in an optimal form.

[0749] Specific examples

[0750] Basic training steps

[0751] 1. The user starts up the device and enters "toilet training." The emotion engine analyzes the user's emotions.

[0752] 2. The device sends the input content and emotion data to the server.

[0753] 3. The server retrieves the appropriate procedure from the database, formats it according to the emotion data, and sends it to the device.

[0754] 4. The device displays instructions to the user, such as "Place the toilet sheet in a specific location" and "Praise the user when successful." If the user is relaxed, detailed instructions are displayed, but if the user is stressed, simplified instructions are displayed.

[0755] 5. The user performs the training and provides feedback on the results and progress, which is then entered into the device. The emotion engine analyzes the user's emotions.

[0756] Training in emergency response

[0757] 1. The user starts up the device and enters, "I want my pet to help me in an emergency." The emotion engine analyzes the user's emotions.

[0758] 2. The device sends the input content and emotion data to the server.

[0759] 3. The server retrieves the appropriate emergency response procedures from the database, formats them according to the emotion data, and sends them to the device.

[0760] 4. The device displays instructions to the user, such as "use the alarm bell" or "teach a specific action." The approach is adjusted depending on the user's emotions.

[0761] 5. The user performs the training and provides feedback on the results and progress, which is then entered into the device. The emotion engine analyzes the user's emotions.

[0762] The present invention allows users to effectively train their pets, and by utilizing an emotion engine, it is possible to provide training procedures optimized for the user's mental state, thereby enabling pets to respond to emergency situations faced by their owners.

[0763] The processing flow will be explained below.

[0764] Step 1:

[0765] The user launches the app and enters the training details. They enter the training details, such as "toilet training," into the device's text box and click the send button. Alternatively, they can enter the desired training details via voice input. The emotion engine detects the user's voice and facial expressions in real time and generates emotion data.

[0766] Step 2:

[0767] The device captures the user's input and emotion data, converts it into JSON format, and sends the converted data to the server as an HTTP POST request.

[0768] Step 3:

[0769] The server receives the request and parses the JSON data. The server extracts the training details (e.g., "Toilet training") and emotion data from the parsed results.

[0770] Step 4:

[0771] The server searches the database and retrieves data related to the training content. Specifically, it retrieves "toilet training procedures" from the database.

[0772] Step 5:

[0773] The server formats the training instructions it acquires into a format that is easy for the user to understand. Based on the emotional data, it selects and provides detailed instructions when the user is relaxed, and simplified instructions when the user is stressed.

[0774] Step 6:

[0775] The server sends the formatted training instructions to the terminal as structured data in JSON format or similar.

[0776] Step 7:

[0777] The device analyzes the data received from the server and displays the training procedure to the user. Each step is displayed in detail on the screen. The way the procedure is presented changes based on the emotion data.

[0778] Step 8:

[0779] The user follows the displayed training procedure to train their pet. The user inputs the training progress and results as feedback into the device. At the same time, the emotion engine analyzes the user's emotions in real time during training and generates emotion data.

[0780] Step 9:

[0781] The device captures user feedback and emotion data, converts it into JSON format, and sends it to the server as an HTTP POST request.

[0782] Step 10:

[0783] The server analyzes the received feedback and emotion data and stores it in a database. Based on the analysis results, the effectiveness of the training procedures is evaluated and the procedures are improved if necessary.

[0784] Step 11:

[0785] The server generates an improved training procedure and sends it to the user's device again. The improved procedure is applied, allowing the user to train the dog again. Based on the emotion data, the system supports the user in providing more effective training.

[0786] Specific examples

[0787] Basic training steps

[0788] 1. Step 1: The user starts the device and enters "Toilet training." The emotion engine analyzes the user's emotion.

[0789] 2. Step 2: The device sends the input content and emotion data to the server.

[0790] 3. Step 3: The server retrieves the appropriate procedure from the database, formats it according to the emotion data, and sends it to the terminal.

[0791] 4. Step 4: The device displays instructions to the user, such as "Place the toilet sheet in a specific location" and "Praise the user when successful." If the user is relaxed, detailed instructions are displayed, but if the user is stressed, simplified instructions are displayed.

[0792] 5. Step 5: The user performs the training and provides feedback on the results and progress, which is then entered into the device. The emotion engine analyzes the user's emotions.

[0793] Training in emergency response

[0794] 1. Step 1: The user starts the device and enters "I want my pet to help me in an emergency." The emotion engine analyzes the user's emotion.

[0795] 2. Step 2: The device sends the input content and emotion data to the server.

[0796] 3. Step 3: The server retrieves the appropriate emergency response procedures from the database, formats them according to the emotion data, and sends them to the terminal.

[0797] 4. Step 4: The device displays instructions to the user, such as "Use the alarm bell" or "Teach a specific action." The approach is adjusted depending on the user's emotions.

[0798] 5. Step 5: The user performs the training and provides feedback on the results and progress, which is then entered into the device. The emotion engine analyzes the user's emotions.

[0799] The present invention allows users to effectively train their pets, and by utilizing an emotion engine, it is possible to provide training procedures optimized for the user's mental state, thereby enabling pets to respond to emergency situations faced by their owners.

[0800] Example 2

[0801] Next, a description will be given of Example 2. In the following description, the data processing device 12 will be referred to as a "server" and the smart glasses 214 will be referred to as a "terminal."

[0802] Conventional pet training systems provide training procedures without taking the user's mental state into consideration, which often leads to stress and ineffective training. Furthermore, they lack the functionality to properly analyze user feedback and improve procedures, making it difficult to sustainably improve the effectiveness of training.

[0803] The specific processing by the specific processing unit 290 of the data processing device 12 in Example 2 is realized by the following means. In this invention, the server includes means for accepting user input from a user terminal, means for analyzing the user's voice and facial expression and generating emotional data, means for capturing the user input and emotional data, converting them into JSON format, and transmitting them to the server, server means for analyzing the user input and searching for relevant discipline procedures, server means for formatting the discipline procedures and emotional data according to the user's mental state and transmitting them to the user terminal, means for accepting feedback and emotional data on the discipline implemented by the user, and means for analyzing the accepted feedback and emotional data and improving the discipline procedures. This makes it possible to provide discipline procedures optimized for the user's mental state and to continuously improve the discipline procedures based on the feedback.

[0804] A "user device" is a common electronic device, such as a smartphone, tablet, or PC, that a user uses to input training content and provide feedback.

[0805] The "server" is a computer system that receives data and emotional information sent from a user terminal, analyzes the data, and provides appropriate training procedures to the user terminal.

[0806] "Emotion data" is data that indicates the user's emotional state and is generated by the emotion engine through analysis of the user's voice and facial expressions.

[0807] "JSON format" is an abbreviation for JavaScript Object Notation, and is a format for expressing data concisely in text format.

[0808] A "training routine" is a step-by-step instruction or method that a user uses to teach a pet a particular behavior or habit.

[0809] "Feedback" refers to information that the user records and reports to the system about the results and progress of training.

[0810] An "emotion engine" is a software or hardware tool that analyzes a user's voice and facial expressions in real time and generates emotion data.

[0811] The present invention is a system designed to enable users to effectively train their pets. The system aims to provide training procedures optimized for the user's mental state by incorporating an emotion engine that recognizes the user's emotions. Specific embodiments for implementing the present invention will be described below.

[0812] System configuration

[0813] The system consists of the following main components:

[0814] 1. User Device

[0815] The user device is a common electronic device such as a smartphone, tablet, or PC. Users use these devices to input training details and provide feedback.

[0816] The device is equipped with an emotion engine that analyzes the user's voice and facial expressions and generates emotion data.

[0817] 2. Server

[0818] The server receives and analyzes the input and emotion data sent from the user's device. Based on the analysis results, it retrieves appropriate training procedures from the database, formats them, and sends them to the user's device.

[0819] It also improves training procedures based on collected feedback and emotional data.

[0820] 3. Emotion Engine

[0821] The emotion engine is software or hardware that analyzes the user's voice and facial expressions in real time and generates emotion data.

[0822] 4. Software and Databases

[0823] The software is a program that sends the user's input and emotional data to a server and displays the analysis results in an easy-to-understand manner for the user.

[0824] The database stores various training procedures, feedback, and emotional data, and is used by the server for searching and retrieving.

[0825] Program Operation

[0826] The outline of the program operation in this system is as follows.

[0827] Accepting user input

[0828] The user turns on the device and inputs specific training instructions, such as "toilet training" or "sitting training." The emotion engine analyzes the user's voice and facial expressions in real time and generates emotion data.

[0829] Sending a request to the server

[0830] The device captures the input and emotion data, converts it into JSON format, and sends the data to the server as an HTTP POST request.

[0831] Generate training procedures

[0832] The server analyzes the received data, extracts the training content and the user's emotional data, and searches the database for the appropriate training procedure.

[0833] Shaping training procedures

[0834] The acquired training instructions are formatted in a format that is easy for the user to understand. For example, they can be divided into steps such as "Step 1: Place a toilet sheet in a specific location" and "Step 2: Take your dog there when it's time to use the toilet." Depending on the emotional data, detailed instructions are provided if the user is relaxed, and simplified instructions are provided if the user is stressed.

[0835] Send and view training instructions

[0836] The formatted training instructions are sent from the server to the terminal. The user terminal analyzes the received data and displays the training instructions to the user. Based on the emotion data, the training instructions are provided in the most appropriate way for the user.

[0837] Collecting feedback

[0838] The user performs training and inputs the progress and results as feedback to the device. At the same time, the emotion engine analyzes the user's emotions in real time during training and generates emotion data.

[0839] Sending and analyzing feedback and sentiment data

[0840] The device captures feedback and emotion data, converts it into JSON format, and sends it to the server. The server analyzes the received feedback and emotion data and stores it in a database. Based on the analysis results, the effectiveness of the training procedure is evaluated and the procedure is improved if necessary. Taking the emotion data into consideration, the improved procedure is provided to the user in the most optimal form.

[0841] Specific examples

[0842] Below are some specific examples of using this system.

[0843] Examples of basic training steps

[0844] 1. The user starts the device and inputs "toilet training." The emotion engine analyzes the user's emotions.

[0845] 2. The device sends the input content and emotion data to the server.

[0846] 3. The server retrieves the appropriate procedure from the database, formats it according to the emotion data, and sends it to the device.

[0847] 4. The device displays instructions to the user, such as "Place the toilet sheet in a specific location" and "Praise the user when successful." If the user is relaxed, detailed instructions are displayed, but if the user is stressed, simplified instructions are displayed.

[0848] 5. The user performs the training and enters the results and progress into the device. The emotion engine analyzes the user's emotions again.

[0849] In this way, the present system provides training procedures that are optimized for the user's mental state, enabling continuous improvement in the effectiveness of training.

[0850] The flow of the identification process in the second embodiment will be described with reference to FIG.

[0851] Step 1:

[0852] The user starts up the device and inputs specific training instructions, such as "toilet training" or "sitting training," using text or voice. The emotion engine analyzes the user's voice and facial expressions in real time and generates emotion data.

[0853] Input: Training content (text or voice), user's voice and facial expressions

[0854] Output: Training details, emotional data

[0855] Step 2:

[0856] The device captures the input training content and generated emotion data, converts it into JSON format, and sends the converted data to the server as an HTTP POST request.

[0857] Input: Training details, emotional data

[0858] Output: JSON formatted data, HTTP POST request

[0859] Step 3:

[0860] The server analyzes the received data, extracts the training content and emotion data from the JSON data, and searches the database for the relevant training procedures.

[0861] Input: JSON format data

[0862] Output: Training content, emotional data, appropriate training procedures

[0863] Step 4:

[0864] The server formats the training instructions it receives into a format that is easy for the user to understand. For example, it divides the instructions into steps, such as "Step 1: Place a toilet sheet in a specific location" and "Step 2: Take the dog there when it's time to use the toilet." Based on the emotional data, it provides detailed instructions if the user is relaxed, and simplified instructions if the user is stressed.

[0865] Input: Training procedures, emotion data

[0866] Output: Formatted training instructions

[0867] Step 5:

[0868] The server sends the formatted training instructions to the terminal as structured data in JSON format.

[0869] Input: Formatted training instructions

[0870] Output: Structured data in JSON format

[0871] Step 6:

[0872] The device analyzes the received JSON data and displays training instructions to the user. Each step is displayed in detail on the screen. Based on the emotion data, training instructions are provided in the most appropriate way for the user.

[0873] Input: Structured data in JSON format

[0874] Output: Training instructions displayed on the screen

[0875] Step 7:

[0876] The user performs training and inputs the progress and results as feedback into the device. At the same time, the emotion engine analyzes the user's emotions in real time during training and generates emotion data.

[0877] Input: Training results, user's voice and facial expressions

[0878] Output: Feedback, emotion data

[0879] Step 8:

[0880] The device captures the feedback and emotion data, converts it back into JSON format, and sends it to the server.

[0881] Input: Feedback, emotion data

[0882] Output: JSON formatted data, HTTP POST request

[0883] Step 9:

[0884] The server analyzes the received feedback and emotional data and stores them in a database. Based on this analysis, it evaluates the effectiveness of the training program and improves it if necessary. Taking the emotional data into account, the improved program is then provided to the user in an optimal format.

[0885] Input: Feedback, emotion data

[0886] Output: Improved training procedure

[0887] (Application example 2)

[0888] Next, a description will be given of Application Example 2. In the following description, the data processing device 12 will be referred to as a "server" and the smart glasses 214 will be referred to as a "terminal."

[0889] Conventional food delivery services often offer a uniform menu without considering the user's emotional state. This makes it difficult to provide a menu that best suits a user's situation, such as when they are feeling stressed or when they want to relax. Furthermore, the ordering process is not customized according to the user's emotional state, resulting in a uniform user experience and lower satisfaction.

[0890] The specific processing by the specific processing unit 290 of the data processing device 12 in Application Example 2 is realized by the following means. In this invention, the server includes means for accepting user input from a user terminal, server means for analyzing the user input and searching for related training procedures, means for analyzing the user's emotions in real time using an emotion engine, means for optimizing the training procedures based on the analyzed emotion data, and means for making personalized suggestions based on the user's emotion data. This makes it possible to provide optimal menu suggestions and customized ordering procedures based on the user's emotional state.

[0891] A "user terminal" is an electronic device used by a user to send input and receive training protocol suggestions.

[0892] The "emotion engine" is a system that has the function of analyzing the user's emotional state from their voice and facial expressions.

[0893] The "server means" is a device or system for receiving data sent from a user terminal, analyzing the data, and providing related information.

[0894] "Feedback" means that the user inputs the results and progress of training into the terminal.

[0895] "Personalized suggestions" refers to making suggestions optimized for individual users based on the user's emotional data.

[0896] "Analyzed emotion data" is data obtained as a result of analyzing the user's emotional state using the emotion engine.

[0897] A "training protocol" is a specific step or method for teaching a particular behavior or rule.

[0898] The system for realizing this invention is composed of a user terminal, a server, an emotion engine, and related software and databases. The specific roles and operations of each are described below.

[0899] User terminal

[0900] Users access the food delivery application using a user device such as a smartphone, tablet, or PC. The device accepts the user's input in voice or text format and analyzes the user's emotions in real time using an emotion engine. The analysis results are then sent from the user device to the server.

[0901] Server Means

[0902] The server receives and analyzes the input and emotional data sent from the user's device. Based on the analysis results, it makes recommendations for appropriate food and drinks. These recommendations are personalized based on the user's emotional data and optimized for the user's emotional state. Based on the analyzed emotional data, it optimizes training procedures and sends them to the user's device.

[0903] Emotion Engine

[0904] The emotion engine is a system that recognizes emotions from the user's voice and facial expressions in real time and analyzes the data. The emotion data generated by the emotion engine is sent to a server and used to optimize the content of suggestions.

[0905] Software and Databases

[0906] The software is a program that sends user input and emotional data to the server and displays suggestions from the server to the user. The database stores various food and drink suggestions, feedback, and emotional data, which the server uses for searching and retrieving.

[0907] Specific examples

[0908] Let's say a user launches a food delivery app and types "I want green tea." At this time, the emotion engine analyzes the user's emotional state. If it determines that the user is feeling stressed, the server will suggest options with a relaxing effect. For example, it will suggest drinks that are expected to have a relaxing effect, such as "chamomile tea" or "lavender tea." If the user is relaxed, it will suggest standard drinks such as "matcha latte" or "hojicha latte."

[0909] Prompt Sentence Examples

[0910] When using a generative AI model to make menu suggestions based on the user's emotional state, possible prompts include:

[0911] "What would be the perfect menu suggestion for a user experiencing stress while using a food delivery app? Give specific examples of drinks or snacks that would help them relax and explain why."

[0912] This prompt allows the generative AI model to suggest the most appropriate menu for the user's condition, improving the user experience.

[0913] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[0914] Step 1:

[0915] Users launch the food delivery app on their smartphone, tablet, or PC and enter their order details by voice or text. The entered details are stored on the device and are analyzed by the emotion engine.

[0916] Input: User's order details (e.g. "I want green tea")

[0917] Output: User order details data

[0918] Step 2:

[0919] The device uses a built-in camera and microphone to capture the user's facial expressions and voice, and passes them to the emotion engine, which analyzes them in real time to determine the user's emotional state.

[0920] Input: User's facial expressions and voice data

[0921] Output: Analyzed emotion data (e.g., stress state)

[0922] Step 3:

[0923] The device converts the user's input and analyzed emotion data into JSON format and sends it to the server as an HTTP POST request.

[0924] Input: User order data, analyzed emotion data

[0925] Output: Request data in JSON format

[0926] Step 4:

[0927] The server analyzes the received JSON data, extracts the user's order details and emotional data, and generates appropriate menu suggestions based on the extracted information and emotional data.

[0928] Input: Request data in JSON format

[0929] Output: Analysis results (order details, emotion data), suggested menu data

[0930] Step 5:

[0931] The server formats the suggested menu in a format optimized for the user's emotional state, converts it back into JSON format, and sends it to the user's device.

[0932] Input: Proposed menu data

[0933] Output: JSON data of the user-optimized suggestion menu

[0934] Step 6:

[0935] The terminal parses the JSON data of the proposed menu received from the server and displays it to the user. The user selects from the displayed proposed menu and confirms the order.

[0936] Input: JSON data of the suggestion menu

[0937] Output: An optimized suggestion menu presented to the user

[0938] Step 7:

[0939] After the user confirms the order, the terminal captures the order details and the re-analyzed emotion data as feedback and transmits them to the server again.

[0940] Input: Order confirmation details, emotional feedback data

[0941] Output: Feedback data in JSON format

[0942] Step 8:

[0943] The server analyzes the received feedback data and stores it in a database, which can then be used to improve future suggestions.

[0944] Input: Feedback data in JSON format

[0945] Output: Stores analyzed feedback data

[0946] The specific processing unit 290 transmits the result of the specific processing to the smart glasses 214. In the smart glasses 214, the control unit 46A causes the speaker 240 to output the result of the specific processing. The microphone 238 acquires audio indicating a user input regarding the result of the specific processing. The control unit 46A transmits audio data indicating the user input acquired by the microphone 238 to the data processing device 12. In the data processing device 12, the specific processing unit 290 acquires the audio data.

[0947] The data generation model 58 is a so-called generative AI (Artificial Intelligence). An example of the data generation model 58 is ChatGPT (Internet Search<URL: https: / / openai.com / blog / chatgpt> ), Gemini (Internet search <url: https: gemini.google.com ?hl="ja">) and other generation AIs. The data generation model 58 is obtained by performing deep learning on a neural network. A prompt including an instruction is input to the data generation model 58, and inference data such as voice data indicating voice, text data indicating text, and image data indicating an image is also input. The data generation model 58 performs inference on the input inference data in accordance with the instruction indicated by the prompt, and outputs the inference result in a data format such as voice data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization.

[0948] In the above embodiment, an example in which the specific processing is performed by the data processing device 12 has been given, but the technology of the present disclosure is not limited to this, and the specific processing may be performed by the smart glasses 214.

[0949] [Third embodiment]

[0950] FIG. 5 shows an example of the configuration of a data processing system 310 according to the third embodiment.

[0951] 5, the data processing system 310 includes the data processing device 12 and a headset type terminal 314. An example of the data processing device 12 is a server.

[0952] The data processing device 12 includes a computer 22, a database 24, and a communication I / F 26. The computer 22 is an example of a "computer" according to the technology of the present disclosure. The computer 22 includes a processor 28, a RAM 30, and a storage 32. The processor 28, the RAM 30, and the storage 32 are connected to a bus 34. The database 24 and the communication I / F 26 are also connected to the bus 34. The communication I / F 26 is connected to a network 54. Examples of the network 54 include a WAN (Wide Area Network) and / or a LAN (Local Area Network).

[0953] The headset type terminal 314 includes a computer 36, a microphone 238, a speaker 240, a camera 42, a communication I / F 44, and a display 343. The computer 36 includes a processor 46, a RAM 48, and a storage 50. The processor 46, the RAM 48, and the storage 50 are connected to a bus 52. The microphone 238, the speaker 240, the camera 42, and the display 343 are also connected to the bus 52.

[0954] The microphone 238 receives instructions and the like from the user 20 by receiving voice uttered by the user 20. The microphone 238 captures the voice uttered by the user 20, converts the captured voice into audio data, and outputs it to the processor 46. The speaker 240 outputs audio in accordance with instructions from the processor 46.

[0955] Camera 42 is a small digital camera equipped with an optical system including a lens, aperture, and shutter, and an imaging element such as a CMOS (Complementary Metal-Oxide-Semiconductor) image sensor or a CCD (Charge Coupled Device) image sensor, and captures images of the surroundings of user 20 (for example, an imaging range defined by an angle of view equivalent to the field of vision of a typical healthy person).

[0956] The communication I / F 44 is connected to a network 54. The communication I / Fs 44 and 26 are responsible for the exchange of various information between the processor 46 and the processor 28 via the network 54. The exchange of various information between the processor 46 and the processor 28 using the communication I / Fs 44 and 26 is carried out in a secure state.

[0957] Fig. 6 shows an example of the main functions of the data processing device 12 and the headset type terminal 314. As shown in Fig. 6, in the data processing device 12, a specific process is performed by the processor 28. A specific process program 56 is stored in the storage 32.

[0958] The specific processing program 56 is an example of a "program" according to the technology of the present disclosure. The processor 28 reads the specific processing program 56 from the storage 32 and executes the read specific processing program 56 on the RAM 30. The specific processing is realized by the processor 28 operating as a specific processing unit 290 in accordance with the specific processing program 56 executed on the RAM 30.

[0959] The storage 32 stores a data generation model 58 and an emotion identification model 59. The data generation model 58 and the emotion identification model 59 are used by the identification processing unit 290.

[0960] In the headset type terminal 314, a reception output process is performed by the processor 46. A reception output program 60 is stored in the storage 50. The processor 46 reads the reception output program 60 from the storage 50 and executes the read reception output program 60 on the RAM 48. The reception output process is realized by the processor 46 operating as the control unit 46A in accordance with the reception output program 60 executed on the RAM 48.

[0961] Next, a description will be given of the identification process performed by the identification processing unit 290 of the data processing device 12. In the following description, the data processing device 12 will be referred to as the "server" and the headset type terminal 314 will be referred to as the "terminal."

[0962] The present invention is a system designed to enable users to effectively train their pets. This system is composed of a user terminal, a server, and related software and databases. Specific embodiments for carrying out the present invention are described below.

[0963] overview

[0964] The system allows users to input training instructions via their devices, and the server analyzes the input to provide appropriate training procedures. It also has the ability to collect feedback on the training provided by users and improve the training procedures as necessary.

[0965] System configuration

[0966] 1. User Device

[0967] User terminals are common electronic devices such as smartphones, tablets, and PCs.

[0968] Users use these devices to input training details and provide feedback.

[0969] 2. Server

[0970] The server receives and analyzes the data sent from the user terminal.

[0971] Based on the analysis results, the appropriate training procedures are retrieved from the database, formatted, and sent to the user's terminal.

[0972] We also improve our training procedures based on the feedback we collect.

[0973] 3. Software and Databases

[0974] The software is a program that properly transmits the user's input to the server and displays the analysis results to the user in an easy-to-understand manner.

[0975] The database stores various training procedures and feedback, and is used by the server for searching and retrieving.

[0976] Program Operation

[0977] Accepting user input

[0978] The user terminal is then activated, and the user can input training requests into the terminal, for example, specific requests such as "toilet training" or "sit training" by text or voice.

[0979] Sending a request to the server

[0980] The device captures the input and sends it to the server, where the data is sent as structured data, such as JSON.

[0981] Generate training procedures

[0982] The server analyzes the received data and searches the database for relevant training instructions, which are then formatted into a user-friendly format, such as "Toilet Training Instructions" or "Emergency Response Training."

[0983] Send training instructions

[0984] The formatted training instructions are sent from the server to the user's terminal, which displays them to the user, allowing the user to check detailed guidelines for each step.

[0985] Collecting feedback

[0986] The user performs the training and inputs the progress and results into the terminal. The terminal sends this feedback to the server, which receives it and stores it in a database.

[0987] Improved training procedures

[0988] The server analyzes the collected feedback, identifies problems with the training protocol, improves it as needed, and provides the user with a new protocol.

[0989] Specific examples

[0990] Basic training steps

[0991] 1. The user starts the terminal and enters "toilet training."

[0992] 2. The device sends the input to the server.

[0993] 3. The server retrieves the appropriate instructions from the database, formats them, and sends them to the terminal.

[0994] 4. The device displays instructions to the user, such as "Place the toilet sheet in a specific location" and "Praise the user if successful."

[0995] 5. The user performs the training and inputs the results and progress as feedback into the device.

[0996] Training in emergency response

[0997] 1. The user starts up the terminal and enters, "I want my pet to help me in an emergency."

[0998] 2. The device sends the input to the server.

[0999] 3. The server retrieves the appropriate emergency response procedures from the database, formats them, and sends them to the device.

[1000] 4. The device displays instructions to the user, such as "Use the alarm bell" or "Teach a specific action."

[1001] 5. The user performs the training and inputs the results and progress as feedback into the device.

[1002] The present invention allows users to effectively train their pets and enables pets to respond to emergency situations for their owners.

[1003] The processing flow will be explained below.

[1004] Step 1:

[1005] The user launches the app and enters the training details. The user enters the training details, such as "toilet training," into the text box on the device and clicks the send button. Alternatively, the user can enter the desired training details using voice input.

[1006] Step 2:

[1007] The device captures the user's input and converts it to JSON format, which is then sent to the server as an HTTP POST request.

[1008] Step 3:

[1009] The server receives the request, parses the JSON data, and extracts the training content (e.g., "toilet training") from the parsed results.

[1010] Step 4:

[1011] The server searches the database and retrieves data related to the training content. Specifically, it retrieves "toilet training procedures" from the database.

[1012] Step 5:

[1013] The server formats the training instructions it receives into a format that is easy for the user to understand. For example, it divides the instructions into steps such as "Step 1: Place a toilet sheet in a specific location" and "Step 2: Take the dog there when it's time to use the toilet."

[1014] Step 6:

[1015] The server sends the formatted training instructions to the terminal as structured data in JSON format or similar.

[1016] Step 7:

[1017] The device analyzes the data received from the server and displays the training procedure to the user, with each step displayed in detail on the screen.

[1018] Step 8:

[1019] The user follows the displayed training procedure to train the pet, and inputs the training progress and results as feedback to the terminal.

[1020] Step 9:

[1021] The device captures user feedback and converts it into JSON format, which is then sent to the server as an HTTP POST request.

[1022] Step 10:

[1023] The server analyzes the received feedback and stores it in a database, where it evaluates the effectiveness of the training procedures and improves them if necessary.

[1024] Step 11:

[1025] The server generates an improved training procedure and sends it to the user terminal again. The improved procedure is applied, and the user can once again train the dog.

[1026] Example 1

[1027] Next, a description will be given of Example 1. In the following description, the data processing device 12 will be referred to as a "server" and the headset type terminal 314 will be referred to as a "terminal."

[1028] Conventional pet training systems have had difficulty in quickly obtaining the appropriate training procedures for users to effectively train their pet. Furthermore, they lacked the functionality to efficiently collect feedback on the progress and results of training and improve the training procedures. This resulted in the problem of not maximizing the effectiveness of training and not achieving the results users expected.

[1029] The specific processing by the specific processing unit 290 of the data processing device 12 in the first embodiment is realized by the following means.

[1030] In this invention, the server includes a means for accepting user input from a user terminal, a data analysis means for analyzing the user input and searching for relevant behavioral training procedures, and a data transmission means for formatting the behavioral training procedures and transmitting them to the user terminal. This allows users to train their pets efficiently and effectively. Furthermore, the system collects and analyzes user feedback and improves the training procedures, thereby improving the effectiveness of training and enabling users to achieve better results.

[1031] A "user terminal" is an electronic device such as a smartphone, tablet, or personal computer that provides an interface for a user to operate.

[1032] "Input content" refers to information that the user inputs through the terminal, and includes training requests, feedback, and the like.

[1033] The "data analysis means" is a part of the server that has the function of analyzing the user input content and searching and generating the related behavioral guidance procedure.

[1034] "Behavioral training procedures" are guidelines that show the specific steps and procedures required for training pets, and are stored in a database.

[1035] The "data transmission means" is a part of the server that has a function for transmitting the formatted behavior instruction procedure to the user terminal.

[1036] "Feedback" is information provided by the user about the progress and results of training, which is used to improve the system.

[1037] A "system" is a collection of information processing devices including user terminals, servers, related software and databases.

[1038] The present invention is a system that allows users to effectively train their pets. This system consists of a user terminal, a server, and related software and databases. Specifically, the user inputs training instructions into the terminal, and the server analyzes the input and provides appropriate training procedures. Furthermore, the system has the function of collecting feedback on the training the user has performed and improving the training procedures as necessary.

[1039] Hardware and software used

[1040] User devices: smartphones (iPhone, Android), tablets, personal computers

[1041] Server: Cloud server (AWS or Google Cloud Platform)

[1042] Software: React and Vue.js are used for the front end, Node.js and Django for the back end, and MySQL, PostgreSQL, MongoDB, etc. are used for the database.

[1043] System configuration

[1044] 1. User Device

[1045] User terminals are common electronic devices such as smartphones, tablets, and PCs.

[1046] Users use these devices to input training details and provide feedback.

[1047] 2. Server

[1048] The server receives and analyzes the data sent from the user terminal.

[1049] Based on the analysis results, the appropriate training procedures are retrieved from the database, formatted, and sent to the user's terminal.

[1050] We also improve our training procedures based on the feedback we collect.

[1051] 3. Software and Databases

[1052] The software is used to properly send the user's input to the server and display the analysis results in an easy-to-understand manner for the user.

[1053] The database is used to store various training procedures and feedback, and is used by the server for searching and retrieving.

[1054] Specific examples

[1055] Basic training steps

[1056] 1. The user starts the terminal and enters "toilet training."

[1057] 2. The device sends the input to the server.

[1058] 3. The server retrieves the appropriate instructions from the database, formats them, and sends them to the terminal.

[1059] 4. The device displays instructions to the user, such as "Place the toilet sheet in a specific location" and "Praise the user if successful."

[1060] 5. The user performs the training and inputs the results and progress as feedback into the device.

[1061] Training in emergency response

[1062] 1. The user starts up the terminal and enters, "I want my pet to help me in an emergency."

[1063] 2. The device sends the input to the server.

[1064] 3. The server retrieves the appropriate emergency response procedures from the database, formats them, and sends them to the device.

[1065] 4. The device displays instructions to the user, such as "Use the alarm bell" or "Teach a specific action."

[1066] 5. The user performs the training and inputs the results and progress as feedback into the device.

[1067] Prompt Sentence Examples

[1068] "Please tell me the steps to toilet training my pet."

[1069] This allows users to easily learn effective and appropriate training procedures and efficiently train their pets. Furthermore, by improving the procedures based on feedback, it is possible to continuously improve the effectiveness of training.

[1070] The flow of the identification process in the first embodiment will be described with reference to FIG.

[1071] Step 1:

[1072] The user starts the terminal and inputs the training content.

[1073] Input: The user turns on their smartphone or tablet, opens the training app, and enters the training instructions into the app's input field, either by typing text such as "toilet training" or by using voice input.

[1074] Specific action: The user types "toilet training" and presses the send button.

[1075] Output: The device temporarily stores the input in its internal memory.

[1076] Step 2:

[1077] The device captures the input and sends it to the server.

[1078] Input: User-entered discipline (text or audio data)

[1079] What it does: The device converts the input text or voice data into JSON format and sends it to the server's API endpoint using an HTTP POST request.

[1080] Output: Sent to the server as structured data.

[1081] Step 3:

[1082] The server analyzes the data and retrieves the appropriate training instructions from a database.

[1083] Input: JSON formatted discipline request data received by the server

[1084] What it does: The server uses a natural language processing (NLP) engine to analyze the incoming data and extract keywords like "toilet" or "training," then runs a database query to find the appropriate training instructions.

[1085] Output: Relevant training procedure data retrieved from the database

[1086] Step 4:

[1087] The server formats the training procedure it has acquired and sends it to the terminal.

[1088] Input: Training procedure data retrieved from the database

[1089] What it does: The server formats the training instructions into a format that's easy for the user to understand. For example, it might use Markdown or HTML to format each step. It then converts the formatted data back into JSON and sends it to the user's device as an HTTP response.

[1090] Output: Formatted training sequence data is sent to the terminal.

[1091] Step 5:

[1092] The terminal displays the training procedure to the user.

[1093] Input: Formatted training protocol data received from the server

[1094] What it does: The device analyzes the data it receives and displays it in the app's interface. It displays step-by-step instructions in bulleted form for the user to see. For example, it might say, "Put the toilet paper in a specific place" or "Praise the user when they succeed."

[1095] Output: Visually displayed training instructions

[1096] Step 6:

[1097] The user carries out the training and inputs the results into the terminal.

[1098] Input: The results and progress of the training performed by the user

[1099] Specific operation: The user follows the training procedure to train their pet and enters the results in the feedback form within the app, for example, by selecting an appropriate option such as "Successful" or "Failed partway through."

[1100] Output: Feedback data entered into the terminal

[1101] Step 7:

[1102] The device sends the feedback to the server.

[1103] Input: User-entered feedback data

[1104] Specific operation: The device converts the feedback data into JSON format and sends it again to the server's API endpoint as an HTTP POST request.

[1105] Output: Feedback data sent to the server as structured data

[1106] Step 8:

[1107] The server analyzes the feedback and improves the training procedures as needed.

[1108] Input: Received feedback data

[1109] Specific actions: The server analyzes the feedback data and identifies the problems the user is having and areas for improvement. It uses NLP and machine learning algorithms to extract specific problem areas.

[1110] Output: List of areas needing improvement and revised discipline procedures

[1111] Step 9:

[1112] The server sends the improved procedure to the terminal and provides it to the user.

[1113] Input: Revised discipline procedures

[1114] Specific operation: The server formats the revised instructions, converts them back into JSON format, and sends them to the user's terminal.

[1115] Output: The revised training sequence is sent to the terminal and displayed to the user.

[1116] (Application example 1)

[1117] Next, a description will be given of Application Example 1. In the following description, the data processing device 12 will be referred to as a "server" and the headset type terminal 314 will be referred to as a "terminal."

[1118] Conventional pet training systems are limited to use at home and do not support training and instruction in physical stores. Furthermore, they are unable to provide training procedures tailored to the specific conditions and environments within a store, making it difficult to effectively train pets in real-world situations.

[1119] The specific processing by the specific processing unit 290 of the data processing device 12 in the application example 1 is realized by the following means.

[1120] In this invention, the server includes means for accepting user input from a user terminal, means for analyzing the user input and searching for relevant training procedures, means for formatting the training procedures and sending them to the user terminal, means for accepting feedback on the training carried out by the user, means for analyzing the accepted feedback and improving the training procedures, and means for providing procedures that take into account the specific conditions required for training in a store. This makes it possible to provide effective training procedures that are suited to the environment and conditions in a physical store and to improve the procedures using the feedback.

[1121] A "user terminal" is a device that allows a user to input training content and provide confirmation and feedback, and includes electronic devices such as smartphones, tablets, and PCs.

[1122] The "server means" is a server that has the function of receiving data sent from a user terminal, analyzing it, and searching for and providing related information from a database.

[1123] A "training procedure" is a specific step or instruction method for guiding a pet's behavior appropriately.

[1124] "Feedback" is information that the user inputs and sends to the server about the results and progress of training.

[1125] "Analysis" is the process by which the server selects and formats the optimal training procedures based on the data it receives.

[1126] "Formatting" is the process by which the server converts the training instructions into a form that is easy for the user to understand.

[1127] "Specific conditions for training in stores" are training requirements that take into account the specific environment and circumstances of a physical store (for example, contact with other pets and involvement of store staff).

[1128] The present invention relates to a pet training support system for use in a physical store specializing in pet supplies. This system is composed of a user terminal, a server, and related software and databases. Specific embodiments for implementing this invention are described in detail below.

[1129] The system is basically made up of the following components:

[1130] User terminal

[1131] The user terminal is a device that allows the user to input training content and receive feedback accordingly, and can be a smartphone, tablet, PC, etc.

[1132] The user can input training goals and problem behaviors through the device. For example, they can input "I want to teach my dog ​​to sit in the store" by text or voice.

[1133] server

[1134] This is a server that receives and analyzes data sent from user terminals.

[1135] The server analyzes the user's input, searches the database for relevant training procedures, and formats the training procedures taking into account the specific conditions within the store (such as contact with other pets and support from store staff).

[1136] The formatted training procedure is sent from the server to the user terminal, which displays it to the user.

[1137] Software and Databases

[1138] The software is a program that properly sends the user's input to the server and displays the analysis results in an easy-to-understand manner for the user.

[1139] The database stores various training procedures and feedback, which the server uses to search and retrieve.

[1140] Program Operation

[1141] Data entry and analysis

[1142] The user launches the smartphone app and inputs the training goal or problem behavior in the store. For example, they can input text or voice input such as "I want to teach my dog ​​to sit in the store."

[1143] The device captures the input and sends it to the server as structured data, such as JSON.

[1144] Generate and provide training procedures

[1145] The server analyzes the received data and searches a database for relevant training procedures.

[1146] The acquired training procedures are tailored to take into account the specific conditions within the store (e.g., contact with other pets, involvement of store staff).

[1147] The formatted training instructions are sent from the server to the user's device, where they are displayed to the user. Videos and illustrations are also used to make the instructions easier to understand visually.

[1148] Gathering feedback and improving procedures

[1149] The user performs the training and inputs the progress and results into the terminal, for example, "a particular action was successful."

[1150] The terminal sends this feedback to the server, which then analyzes the received feedback.

[1151] If necessary, the training procedure is improved and the user is notified of the new training procedure again.

[1152] Specific examples

[1153] Prompt Sentence Examples

[1154] If a user types "I want to teach you to sit in my store":

[1155] Please enter the training (e.g., sit in the store):

[1156] This will enable the provision of effective training procedures tailored to the environment and conditions within a physical store, and the improvement of the procedures based on that feedback.

[1157] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[1158] Step 1:

[1159] The user launches the smartphone app and inputs the training details. Specifically, the user inputs the training goal, such as "I want to teach my dog ​​to sit in the store," either by text or voice. The input is then imported into the device. The input is captured on the device using a text field or voice recognition function.

[1160] Step 2:

[1161] The device converts the user's input into structured data, such as JSON format, and sends it to the server. The device then encodes the user's input into the appropriate data format and sends it to the server via an HTTP POST request. The server is then ready to receive the user's request. The data sent includes text information about the training goal.

[1162] Step 3:

[1163] The server analyzes the received data and searches the database for appropriate training instructions. The server decodes the received JSON data and analyzes the input using a generative AI model. Based on the analysis results, it searches and extracts relevant training instructions from the database. For example, it selects the training instruction for "sit."

[1164] Step 4:

[1165] The server then formats the training instructions it has acquired, taking into account the specific conditions within the store. The server then adjusts the instructions, taking into account the store's environment and conditions (e.g., contact with other pets, involvement of store staff, etc.), and converts them into a format that is easy for users to understand. For example, it adds videos and illustrations to make the instructions visually easier to understand.

[1166] Step 5:

[1167] The server sends the formatted training instructions to the user device. The server then encodes the formatted instructions into JSON format again and sends it back to the user device as an HTTP response. The user device receives this data and is ready to display the training instructions.

[1168] Step 6:

[1169] The user's device displays the training procedure and provides real-time guidance. The user checks and implements each step of the training procedure through the app. The device displays the procedure in a visual format (video, illustrations, text). For example, instructions such as "Put a toilet sheet on the floor" and "Say a specific command" are displayed.

[1170] Step 7:

[1171] The user performs the training and inputs the results and progress into the device, providing feedback on whether the training was successful or not, and which steps caused problems. The user enters this information through text fields and multiple-choice checkboxes.

[1172] Step 8:

[1173] The device sends user feedback to the server, which analyzes it. The device sends the feedback data in JSON format to the server, which then analyzes the received feedback in detail. The server then uses the feedback to identify areas for improvement in the training process.

[1174] Step 9:

[1175] The server improves the training procedure as needed and provides it to the user again. Based on the analysis results, the server creates a new training procedure and sends it back to the user's terminal. The user confirms the new procedure and performs the training again. This improves the effectiveness and accuracy of the training procedure.

[1176] Furthermore, an emotion engine that estimates the user's emotion may be further combined. That is, the identification processing unit 290 may estimate the user's emotion using the emotion identification model 59, and perform identification processing using the user's emotion.

[1177] This invention is a system designed to enable users to effectively train their pets, and aims to further enhance this effect by combining it with an emotion engine that recognizes the user's emotions. This system is composed of a user terminal, a server, an emotion engine, and related software and databases.

[1178] System configuration

[1179] 1. User Device

[1180] User terminals are common electronic devices such as smartphones, tablets, and PCs.

[1181] Users use these devices to input training details and provide feedback.

[1182] The device is equipped with an emotion engine that recognizes the user's emotions.

[1183] 2. Server

[1184] The server receives the data and emotion information sent from the user terminal and performs analysis.

[1185] Based on the analysis results, the appropriate training procedures are retrieved from the database, formatted, and sent to the user's terminal.

[1186] It also improves training procedures based on collected feedback and emotional data.

[1187] 3. Emotion Engine

[1188] The emotion engine recognizes emotions from the user's voice and facial expressions and analyzes that information.

[1189] The emotion engine analyzes the emotions of users in real time as they enter their training content.

[1190] 4. Software and Databases

[1191] The software is a program that sends the user's input and emotional data to a server and displays the analysis results in an easy-to-understand manner for the user.

[1192] The database stores various training procedures, feedback, and emotional data, and is used by the server to search and retrieve them.

[1193] Program Operation

[1194] Accepting user input

[1195] The user terminal is then started, and the user can input the training details into the terminal. For example, specific requests such as "toilet training" or "sitting training" can be input by text or voice. The emotion engine analyzes the user's voice and facial expressions in real time and generates emotion data.

[1196] Sending a request to the server

[1197] The device captures the input and emotion data, converts it into JSON format, and sends the data to the server as an HTTP POST request.

[1198] Generate training procedures

[1199] The server receives the received data and parses the JSON data. From the parsed results, the server extracts the training content (e.g., "toilet training") and the user's emotional data. Based on the emotional data, the server searches the database for the appropriate training procedure and retrieves it.

[1200] Shaping training procedures

[1201] The acquired training instructions are formatted into a format that is easy for the user to understand. For example, it is formatted into steps such as "Step 1: Place a toilet sheet in a specific location" and "Step 2: Take the dog there when it's time to use the toilet." Depending on the emotional data, the system will provide the normal instructions if the user is relaxed, and simplified instructions if the user is stressed.

[1202] Send training instructions

[1203] The server sends the formatted training instructions to the terminal as structured data in JSON format or similar.

[1204] Display of training procedures

[1205] The device analyzes the data received from the server and displays the training procedure to the user. Each step is displayed in detail on the screen. Based on the emotion data, the training procedure is provided in the most appropriate way for the user.

[1206] Collecting feedback

[1207] The user performs training and inputs the progress and results as feedback into the device. At the same time, the emotion engine analyzes the user's emotions in real time during training and generates emotion data.

[1208] Sending feedback and sentiment data

[1209] The device captures feedback and emotion data, converts it into JSON format, and sends the data to the server as an HTTP POST request.

[1210] Server analysis and procedure improvement

[1211] The server analyzes the received feedback and emotional data and stores them in a database. Based on the analysis results, it evaluates the effectiveness of the training procedure and improves it if necessary. Taking the emotional data into account, the improved procedure is provided to the user in an optimal form.

[1212] Specific examples

[1213] Basic training steps

[1214] 1. The user starts up the device and enters "toilet training." The emotion engine analyzes the user's emotions.

[1215] 2. The device sends the input content and emotion data to the server.

[1216] 3. The server retrieves the appropriate procedure from the database, formats it according to the emotion data, and sends it to the device.

[1217] 4. The device displays instructions to the user, such as "Place the toilet sheet in a specific location" and "Praise the user when successful." If the user is relaxed, detailed instructions are displayed, but if the user is stressed, simplified instructions are displayed.

[1218] 5. The user performs the training and provides feedback on the results and progress, which is then entered into the device. The emotion engine analyzes the user's emotions.

[1219] Training in emergency response

[1220] 1. The user starts up the device and enters, "I want my pet to help me in an emergency." The emotion engine analyzes the user's emotions.

[1221] 2. The device sends the input content and emotion data to the server.

[1222] 3. The server retrieves the appropriate emergency response procedures from the database, formats them according to the emotion data, and sends them to the device.

[1223] 4. The device displays instructions to the user, such as "use the alarm bell" or "teach a specific action." The approach is adjusted depending on the user's emotions.

[1224] 5. The user performs the training and provides feedback on the results and progress, which is then entered into the device. The emotion engine analyzes the user's emotions.

[1225] The present invention allows users to effectively train their pets, and by utilizing an emotion engine, it is possible to provide training procedures optimized for the user's mental state, thereby enabling pets to respond to emergency situations faced by their owners.

[1226] The processing flow will be explained below.

[1227] Step 1:

[1228] The user launches the app and enters the training details. They enter the training details, such as "toilet training," into the device's text box and click the send button. Alternatively, they can enter the desired training details via voice input. The emotion engine detects the user's voice and facial expressions in real time and generates emotion data.

[1229] Step 2:

[1230] The device captures the user's input and emotion data, converts it into JSON format, and sends the converted data to the server as an HTTP POST request.

[1231] Step 3:

[1232] The server receives the request and parses the JSON data. The server extracts the training details (e.g., "Toilet training") and emotion data from the parsed results.

[1233] Step 4:

[1234] The server searches the database and retrieves data related to the training content. Specifically, it retrieves "toilet training procedures" from the database.

[1235] Step 5:

[1236] The server formats the training instructions it acquires into a format that is easy for the user to understand. Based on the emotional data, it selects and provides detailed instructions when the user is relaxed, and simplified instructions when the user is stressed.

[1237] Step 6:

[1238] The server sends the formatted training instructions to the terminal as structured data in JSON format or similar.

[1239] Step 7:

[1240] The device analyzes the data received from the server and displays the training procedure to the user. Each step is displayed in detail on the screen. The way the procedure is presented changes based on the emotion data.

[1241] Step 8:

[1242] The user follows the displayed training procedure to train their pet. The user inputs the training progress and results as feedback into the device. At the same time, the emotion engine analyzes the user's emotions in real time during training and generates emotion data.

[1243] Step 9:

[1244] The device captures user feedback and emotion data, converts it into JSON format, and sends it to the server as an HTTP POST request.

[1245] Step 10:

[1246] The server analyzes the received feedback and emotion data and stores it in a database. Based on the analysis results, the effectiveness of the training procedures is evaluated and the procedures are improved if necessary.

[1247] Step 11:

[1248] The server generates an improved training procedure and sends it to the user's device again. The improved procedure is applied, allowing the user to train the dog again. Based on the emotion data, the system supports the user in providing more effective training.

[1249] Specific examples

[1250] Basic training steps

[1251] 1. Step 1: The user starts the device and enters "Toilet training." The emotion engine analyzes the user's emotion.

[1252] 2. Step 2: The device sends the input content and emotion data to the server.

[1253] 3. Step 3: The server retrieves the appropriate procedure from the database, formats it according to the emotion data, and sends it to the terminal.

[1254] 4. Step 4: The device displays instructions to the user, such as "Place the toilet sheet in a specific location" and "Praise the user when successful." If the user is relaxed, detailed instructions are displayed, but if the user is stressed, simplified instructions are displayed.

[1255] 5. Step 5: The user performs the training and provides feedback on the results and progress, which is then entered into the device. The emotion engine analyzes the user's emotions.

[1256] Training in emergency response

[1257] 1. Step 1: The user starts the device and enters "I want my pet to help me in an emergency." The emotion engine analyzes the user's emotion.

[1258] 2. Step 2: The device sends the input content and emotion data to the server.

[1259] 3. Step 3: The server retrieves the appropriate emergency response procedures from the database, formats them according to the emotion data, and sends them to the terminal.

[1260] 4. Step 4: The device displays instructions to the user, such as "Use the alarm bell" or "Teach a specific action." The approach is adjusted depending on the user's emotions.

[1261] 5. Step 5: The user performs the training and provides feedback on the results and progress, which is then entered into the device. The emotion engine analyzes the user's emotions.

[1262] The present invention allows users to effectively train their pets, and by utilizing an emotion engine, it is possible to provide training procedures optimized for the user's mental state, thereby enabling pets to respond to emergency situations faced by their owners.

[1263] Example 2

[1264] Next, a description will be given of Example 2. In the following description, the data processing device 12 will be referred to as a "server" and the headset type terminal 314 will be referred to as a "terminal."

[1265] Conventional pet training systems provide training procedures without taking the user's mental state into consideration, which often leads to stress and ineffective training. Furthermore, they lack the functionality to properly analyze user feedback and improve procedures, making it difficult to sustainably improve the effectiveness of training.

[1266] The specific processing by the specific processing unit 290 of the data processing device 12 in Example 2 is realized by the following means. In this invention, the server includes means for accepting user input from a user terminal, means for analyzing the user's voice and facial expression and generating emotional data, means for capturing the user input and emotional data, converting them into JSON format, and transmitting them to the server, server means for analyzing the user input and searching for relevant discipline procedures, server means for formatting the discipline procedures and emotional data according to the user's mental state and transmitting them to the user terminal, means for accepting feedback and emotional data on the discipline implemented by the user, and means for analyzing the accepted feedback and emotional data and improving the discipline procedures. This makes it possible to provide discipline procedures optimized for the user's mental state and to continuously improve the discipline procedures based on the feedback.

[1267] A "user device" is a common electronic device, such as a smartphone, tablet, or PC, that a user uses to input training content and provide feedback.

[1268] The "server" is a computer system that receives data and emotional information sent from a user terminal, analyzes the data, and provides appropriate training procedures to the user terminal.

[1269] "Emotion data" is data that indicates the user's emotional state and is generated by the emotion engine through analysis of the user's voice and facial expressions.

[1270] "JSON format" is an abbreviation for JavaScript Object Notation, and is a format for expressing data concisely in text format.

[1271] A "training routine" is a step-by-step instruction or method that a user uses to teach a pet a particular behavior or habit.

[1272] "Feedback" refers to information that the user records and reports to the system about the results and progress of training.

[1273] An "emotion engine" is a software or hardware tool that analyzes a user's voice and facial expressions in real time and generates emotion data.

[1274] The present invention is a system designed to enable users to effectively train their pets. The system aims to provide training procedures optimized for the user's mental state by incorporating an emotion engine that recognizes the user's emotions. Specific embodiments for implementing the present invention will be described below.

[1275] System configuration

[1276] The system consists of the following main components:

[1277] 1. User Device

[1278] The user device is a common electronic device such as a smartphone, tablet, or PC. Users use these devices to input training details and provide feedback.

[1279] The device is equipped with an emotion engine that analyzes the user's voice and facial expressions and generates emotion data.

[1280] 2. Server

[1281] The server receives and analyzes the input and emotion data sent from the user's device. Based on the analysis results, it retrieves appropriate training procedures from the database, formats them, and sends them to the user's device.

[1282] It also improves training procedures based on collected feedback and emotional data.

[1283] 3. Emotion Engine

[1284] The emotion engine is software or hardware that analyzes the user's voice and facial expressions in real time and generates emotion data.

[1285] 4. Software and Databases

[1286] The software is a program that sends the user's input and emotional data to a server and displays the analysis results in an easy-to-understand manner for the user.

[1287] The database stores various training procedures, feedback, and emotional data, and is used by the server for searching and retrieving.

[1288] Program Operation

[1289] The outline of the program operation in this system is as follows.

[1290] Accepting user input

[1291] The user turns on the device and inputs specific training instructions, such as "toilet training" or "sitting training." The emotion engine analyzes the user's voice and facial expressions in real time and generates emotion data.

[1292] Sending a request to the server

[1293] The device captures the input and emotion data, converts it into JSON format, and sends the data to the server as an HTTP POST request.

[1294] Generate training procedures

[1295] The server analyzes the received data, extracts the training content and the user's emotional data, and searches the database for the appropriate training procedure.

[1296] Shaping training procedures

[1297] The acquired training instructions are formatted in a format that is easy for the user to understand. For example, they can be divided into steps such as "Step 1: Place a toilet sheet in a specific location" and "Step 2: Take your dog there when it's time to use the toilet." Depending on the emotional data, detailed instructions are provided if the user is relaxed, and simplified instructions are provided if the user is stressed.

[1298] Send and view training instructions

[1299] The formatted training instructions are sent from the server to the terminal. The user terminal analyzes the received data and displays the training instructions to the user. Based on the emotion data, the training instructions are provided in the most appropriate way for the user.

[1300] Collecting feedback

[1301] The user performs training and inputs the progress and results as feedback to the device. At the same time, the emotion engine analyzes the user's emotions in real time during training and generates emotion data.

[1302] Sending and analyzing feedback and sentiment data

[1303] The device captures feedback and emotion data, converts it into JSON format, and sends it to the server. The server analyzes the received feedback and emotion data and stores it in a database. Based on the analysis results, the effectiveness of the training procedure is evaluated and the procedure is improved if necessary. Taking the emotion data into consideration, the improved procedure is provided to the user in the most optimal form.

[1304] Specific examples

[1305] Below are some specific examples of using this system.

[1306] Examples of basic training steps

[1307] 1. The user starts the device and inputs "toilet training." The emotion engine analyzes the user's emotions.

[1308] 2. The device sends the input content and emotion data to the server.

[1309] 3. The server retrieves the appropriate procedure from the database, formats it according to the emotion data, and sends it to the device.

[1310] 4. The device displays instructions to the user, such as "Place the toilet sheet in a specific location" and "Praise the user when successful." If the user is relaxed, detailed instructions are displayed, but if the user is stressed, simplified instructions are displayed.

[1311] 5. The user performs the training and enters the results and progress into the device. The emotion engine analyzes the user's emotions again.

[1312] In this way, the present system provides training procedures that are optimized for the user's mental state, enabling continuous improvement in the effectiveness of training.

[1313] The flow of the identification process in the second embodiment will be described with reference to FIG.

[1314] Step 1:

[1315] The user starts up the device and inputs specific training instructions, such as "toilet training" or "sitting training," using text or voice. The emotion engine analyzes the user's voice and facial expressions in real time and generates emotion data.

[1316] Input: Training content (text or voice), user's voice and facial expressions

[1317] Output: Training details, emotional data

[1318] Step 2:

[1319] The device captures the input training content and generated emotion data, converts it into JSON format, and sends the converted data to the server as an HTTP POST request.

[1320] Input: Training details, emotional data

[1321] Output: JSON formatted data, HTTP POST request

[1322] Step 3:

[1323] The server analyzes the received data, extracts the training content and emotion data from the JSON data, and searches the database for the relevant training procedures.

[1324] Input: JSON format data

[1325] Output: Training content, emotional data, appropriate training procedures

[1326] Step 4:

[1327] The server formats the training instructions it receives into a format that is easy for the user to understand. For example, it divides the instructions into steps, such as "Step 1: Place a toilet sheet in a specific location" and "Step 2: Take the dog there when it's time to use the toilet." Based on the emotional data, it provides detailed instructions if the user is relaxed, and simplified instructions if the user is stressed.

[1328] Input: Training procedures, emotion data

[1329] Output: Formatted training instructions

[1330] Step 5:

[1331] The server sends the formatted training instructions to the terminal as structured data in JSON format.

[1332] Input: Formatted training instructions

[1333] Output: Structured data in JSON format

[1334] Step 6:

[1335] The device analyzes the received JSON data and displays training instructions to the user. Each step is displayed in detail on the screen. Based on the emotion data, training instructions are provided in the most appropriate way for the user.

[1336] Input: Structured data in JSON format

[1337] Output: Training instructions displayed on the screen

[1338] Step 7:

[1339] The user performs training and inputs the progress and results as feedback into the device. At the same time, the emotion engine analyzes the user's emotions in real time during training and generates emotion data.

[1340] Input: Training results, user's voice and facial expressions

[1341] Output: Feedback, emotion data

[1342] Step 8:

[1343] The device captures the feedback and emotion data, converts it back into JSON format, and sends it to the server.

[1344] Input: Feedback, emotion data

[1345] Output: JSON formatted data, HTTP POST request

[1346] Step 9:

[1347] The server analyzes the received feedback and emotional data and stores them in a database. Based on this analysis, it evaluates the effectiveness of the training program and improves it if necessary. Taking the emotional data into account, the improved program is then provided to the user in an optimal format.

[1348] Input: Feedback, emotion data

[1349] Output: Improved training procedure

[1350] (Application example 2)

[1351] Next, a description will be given of Application Example 2. In the following description, the data processing device 12 will be referred to as a "server" and the headset type terminal 314 will be referred to as a "terminal."

[1352] Conventional food delivery services often offer a uniform menu without considering the user's emotional state. This makes it difficult to provide a menu that best suits a user's situation, such as when they are feeling stressed or when they want to relax. Furthermore, the ordering process is not customized according to the user's emotional state, resulting in a uniform user experience and lower satisfaction.

[1353] The specific processing by the specific processing unit 290 of the data processing device 12 in Application Example 2 is realized by the following means. In this invention, the server includes means for accepting user input from a user terminal, server means for analyzing the user input and searching for related training procedures, means for analyzing the user's emotions in real time using an emotion engine, means for optimizing the training procedures based on the analyzed emotion data, and means for making personalized suggestions based on the user's emotion data. This makes it possible to provide optimal menu suggestions and customized ordering procedures based on the user's emotional state.

[1354] A "user terminal" is an electronic device used by a user to send input and receive training protocol suggestions.

[1355] The "emotion engine" is a system that has the function of analyzing the user's emotional state from their voice and facial expressions.

[1356] The "server means" is a device or system for receiving data sent from a user terminal, analyzing the data, and providing related information.

[1357] "Feedback" means that the user inputs the results and progress of training into the terminal.

[1358] "Personalized suggestions" refers to making suggestions optimized for individual users based on the user's emotional data.

[1359] "Analyzed emotion data" is data obtained as a result of analyzing the user's emotional state using the emotion engine.

[1360] A "training protocol" is a specific step or method for teaching a particular behavior or rule.

[1361] The system for realizing this invention is composed of a user terminal, a server, an emotion engine, and related software and databases. The specific roles and operations of each are described below.

[1362] User terminal

[1363] Users access the food delivery application using a user device such as a smartphone, tablet, or PC. The device accepts the user's input in voice or text format and analyzes the user's emotions in real time using an emotion engine. The analysis results are then sent from the user device to the server.

[1364] Server Means

[1365] The server receives and analyzes the input and emotional data sent from the user's device. Based on the analysis results, it makes recommendations for appropriate food and drinks. These recommendations are personalized based on the user's emotional data and optimized for the user's emotional state. Based on the analyzed emotional data, it optimizes training procedures and sends them to the user's device.

[1366] Emotion Engine

[1367] The emotion engine is a system that recognizes emotions from the user's voice and facial expressions in real time and analyzes the data. The emotion data generated by the emotion engine is sent to a server and used to optimize the content of suggestions.

[1368] Software and Databases

[1369] The software is a program that sends user input and emotional data to the server and displays suggestions from the server to the user. The database stores various food and drink suggestions, feedback, and emotional data, which the server uses for searching and retrieving.

[1370] Specific examples

[1371] Let's say a user launches a food delivery app and types "I want green tea." At this time, the emotion engine analyzes the user's emotional state. If it determines that the user is feeling stressed, the server will suggest options with a relaxing effect. For example, it will suggest drinks that are expected to have a relaxing effect, such as "chamomile tea" or "lavender tea." If the user is relaxed, it will suggest standard drinks such as "matcha latte" or "hojicha latte."

[1372] Prompt Sentence Examples

[1373] When using a generative AI model to make menu suggestions based on the user's emotional state, possible prompts include:

[1374] "What would be the perfect menu suggestion for a user experiencing stress while using a food delivery app? Give specific examples of drinks or snacks that would help them relax and explain why."

[1375] This prompt allows the generative AI model to suggest the most appropriate menu for the user's condition, improving the user experience.

[1376] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[1377] Step 1:

[1378] Users launch the food delivery app on their smartphone, tablet, or PC and enter their order details by voice or text. The entered details are stored on the device and are analyzed by the emotion engine.

[1379] Input: User's order details (e.g. "I want green tea")

[1380] Output: User order details data

[1381] Step 2:

[1382] The device uses a built-in camera and microphone to capture the user's facial expressions and voice, and passes them to the emotion engine, which analyzes them in real time to determine the user's emotional state.

[1383] Input: User's facial expressions and voice data

[1384] Output: Analyzed emotion data (e.g., stress state)

[1385] Step 3:

[1386] The device converts the user's input and analyzed emotion data into JSON format and sends it to the server as an HTTP POST request.

[1387] Input: User order data, analyzed emotion data

[1388] Output: Request data in JSON format

[1389] Step 4:

[1390] The server analyzes the received JSON data, extracts the user's order details and emotional data, and generates appropriate menu suggestions based on the extracted information and emotional data.

[1391] Input: Request data in JSON format

[1392] Output: Analysis results (order details, emotion data), suggested menu data

[1393] Step 5:

[1394] The server formats the suggested menu in a format optimized for the user's emotional state, converts it back into JSON format, and sends it to the user's device.

[1395] Input: Proposed menu data

[1396] Output: JSON data of the user-optimized suggestion menu

[1397] Step 6:

[1398] The terminal parses the JSON data of the proposed menu received from the server and displays it to the user. The user selects from the displayed proposed menu and confirms the order.

[1399] Input: JSON data of the suggestion menu

[1400] Output: An optimized suggestion menu presented to the user

[1401] Step 7:

[1402] After the user confirms the order, the terminal captures the order details and the re-analyzed emotion data as feedback and transmits them to the server again.

[1403] Input: Order confirmation details, emotional feedback data

[1404] Output: Feedback data in JSON format

[1405] Step 8:

[1406] The server analyzes the received feedback data and stores it in a database, which can then be used to improve future suggestions.

[1407] Input: Feedback data in JSON format

[1408] Output: Stores analyzed feedback data

[1409] The specific processing unit 290 transmits the result of the specific processing to the headset type terminal 314. In the headset type terminal 314, the control unit 46A causes the speaker 240 and the display 343 to output the result of the specific processing. The microphone 238 acquires audio indicating a user input regarding the result of the specific processing. The control unit 46A transmits audio data indicating the user input acquired by the microphone 238 to the data processing device 12. In the data processing device 12, the specific processing unit 290 acquires the audio data.

[1410] The data generation model 58 is a so-called generative AI (Artificial Intelligence). An example of the data generation model 58 is ChatGPT (Internet Search<URL: https: / / openai.com / blog / chatgpt> ), Gemini (Internet search <url: https: gemini.google.com ?hl="ja">) and other generation AIs. The data generation model 58 is obtained by performing deep learning on a neural network. A prompt including an instruction is input to the data generation model 58, and inference data such as voice data indicating voice, text data indicating text, and image data indicating an image is also input. The data generation model 58 performs inference on the input inference data in accordance with the instruction indicated by the prompt, and outputs the inference result in a data format such as voice data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization.

[1411] In the above embodiment, an example was given in which the specific processing is performed by the data processing device 12, but the technology of the present disclosure is not limited to this, and the specific processing may be performed by the headset type terminal 314.

[1412] [Fourth embodiment]

[1413] FIG. 7 shows an example of the configuration of a data processing system 410 according to the fourth embodiment.

[1414] 7, a data processing system 410 includes a data processing device 12 and a robot 414. An example of the data processing device 12 is a server.

[1415] The data processing device 12 includes a computer 22, a database 24, and a communication I / F 26. The computer 22 is an example of a "computer" according to the technology of the present disclosure. The computer 22 includes a processor 28, a RAM 30, and a storage 32. The processor 28, the RAM 30, and the storage 32 are connected to a bus 34. The database 24 and the communication I / F 26 are also connected to the bus 34. The communication I / F 26 is connected to a network 54. Examples of the network 54 include a WAN (Wide Area Network) and / or a LAN (Local Area Network).

[1416] The robot 414 includes a computer 36, a microphone 238, a speaker 240, a camera 42, a communication I / F 44, and a control target 443. The computer 36 includes a processor 46, a RAM 48, and a storage 50. The processor 46, the RAM 48, and the storage 50 are connected to a bus 52. The microphone 238, the speaker 240, the camera 42, and the control target 443 are also connected to the bus 52.

[1417] The microphone 238 receives instructions and the like from the user 20 by receiving voice uttered by the user 20. The microphone 238 captures the voice uttered by the user 20, converts the captured voice into audio data, and outputs it to the processor 46. The speaker 240 outputs audio in accordance with instructions from the processor 46.

[1418] Camera 42 is a small digital camera equipped with an optical system including a lens, aperture, and shutter, and an imaging element such as a CMOS (Complementary Metal-Oxide-Semiconductor) image sensor or a CCD (Charge Coupled Device) image sensor, and captures images of the surroundings of user 20 (for example, an imaging range defined by an angle of view equivalent to the field of vision of a typical healthy person).

[1419] The communication I / F 44 is connected to a network 54. The communication I / Fs 44 and 26 are responsible for the exchange of various information between the processor 46 and the processor 28 via the network 54. The exchange of various information between the processor 46 and the processor 28 using the communication I / Fs 44 and 26 is carried out in a secure state.

[1420] The control object 443 includes a display device, LEDs in the eyes, and motors for driving the arms, hands, and feet. The posture and gestures of the robot 414 are controlled by controlling the motors of the arms, hands, and feet. Some of the emotions of the robot 414 can be expressed by controlling these motors. In addition, the facial expressions of the robot 414 can also be expressed by controlling the light emission state of the LEDs in the eyes of the robot 414.

[1421] Fig. 8 shows an example of the main functions of the data processing device 12 and the robot 414. As shown in Fig. 8, in the data processing device 12, a specific process is performed by the processor 28. A specific process program 56 is stored in the storage 32.

[1422] The specific processing program 56 is an example of a "program" according to the technology of the present disclosure. The processor 28 reads the specific processing program 56 from the storage 32 and executes the read specific processing program 56 on the RAM 30. The specific processing is realized by the processor 28 operating as a specific processing unit 290 in accordance with the specific processing program 56 executed on the RAM 30.

[1423] The storage 32 stores a data generation model 58 and an emotion identification model 59. The data generation model 58 and the emotion identification model 59 are used by the identification processing unit 290.

[1424] In the robot 414, the processor 46 performs the reception output process. A reception output program 60 is stored in the storage 50. The processor 46 reads the reception output program 60 from the storage 50 and executes the read reception output program 60 on the RAM 48. The reception output process is realized by the processor 46 operating as the control unit 46A in accordance with the reception output program 60 executed on the RAM 48.

[1425] Next, a description will be given of the specific processing performed by the specific processing unit 290 of the data processing device 12. In the following description, the data processing device 12 will be referred to as a "server" and the robot 414 will be referred to as a "terminal."

[1426] The present invention is a system designed to enable users to effectively train their pets. This system is composed of a user terminal, a server, and related software and databases. Specific embodiments for carrying out the present invention are described below.

[1427] overview

[1428] The system allows users to input training instructions via their devices, and the server analyzes the input to provide appropriate training procedures. It also has the ability to collect feedback on the training provided by users and improve the training procedures as necessary.

[1429] System configuration

[1430] 1. User Device

[1431] User terminals are common electronic devices such as smartphones, tablets, and PCs.

[1432] Users use these devices to input training details and provide feedback.

[1433] 2. Server

[1434] The server receives and analyzes the data sent from the user terminal.

[1435] Based on the analysis results, the appropriate training procedures are retrieved from the database, formatted, and sent to the user's terminal.

[1436] We also improve our training procedures based on the feedback we collect.

[1437] 3. Software and Databases

[1438] The software is a program that properly transmits the user's input to the server and displays the analysis results to the user in an easy-to-understand manner.

[1439] The database stores various training procedures and feedback, and is used by the server for searching and retrieving.

[1440] Program Operation

[1441] Accepting user input

[1442] The user terminal is then activated, and the user can input training requests into the terminal, for example, specific requests such as "toilet training" or "sit training" by text or voice.

[1443] Sending a request to the server

[1444] The device captures the input and sends it to the server, where the data is sent as structured data, such as JSON.

[1445] Generate training procedures

[1446] The server analyzes the received data and searches the database for relevant training instructions, which are then formatted into a user-friendly format, such as "Toilet Training Instructions" or "Emergency Response Training."

[1447] Send training instructions

[1448] The formatted training instructions are sent from the server to the user's terminal, which displays them to the user, allowing the user to check detailed guidelines for each step.

[1449] Collecting feedback

[1450] The user performs the training and inputs the progress and results into the terminal. The terminal sends this feedback to the server, which receives it and stores it in a database.

[1451] Improved training procedures

[1452] The server analyzes the collected feedback, identifies problems with the training protocol, improves it as needed, and provides the user with a new protocol.

[1453] Specific examples

[1454] Basic training steps

[1455] 1. The user starts the terminal and enters "toilet training."

[1456] 2. The device sends the input to the server.

[1457] 3. The server retrieves the appropriate instructions from the database, formats them, and sends them to the terminal.

[1458] 4. The device displays instructions to the user, such as "Place the toilet sheet in a specific location" and "Praise the user if successful."

[1459] 5. The user performs the training and inputs the results and progress as feedback into the device.

[1460] Training in emergency response

[1461] 1. The user starts up the terminal and enters, "I want my pet to help me in an emergency."

[1462] 2. The device sends the input to the server.

[1463] 3. The server retrieves the appropriate emergency response procedures from the database, formats them, and sends them to the device.

[1464] 4. The device displays instructions to the user, such as "Use the alarm bell" or "Teach a specific action."

[1465] 5. The user performs the training and inputs the results and progress as feedback into the device.

[1466] The present invention allows users to effectively train their pets and enables pets to respond to emergency situations for their owners.

[1467] The processing flow will be explained below.

[1468] Step 1:

[1469] The user launches the app and enters the training details. The user enters the training details, such as "toilet training," into the text box on the device and clicks the send button. Alternatively, the user can enter the desired training details using voice input.

[1470] Step 2:

[1471] The device captures the user's input and converts it to JSON format, which is then sent to the server as an HTTP POST request.

[1472] Step 3:

[1473] The server receives the request, parses the JSON data, and extracts the training content (e.g., "toilet training") from the parsed results.

[1474] Step 4:

[1475] The server searches the database and retrieves data related to the training content. Specifically, it retrieves "toilet training procedures" from the database.

[1476] Step 5:

[1477] The server formats the training instructions it receives into a format that is easy for the user to understand. For example, it divides the instructions into steps such as "Step 1: Place a toilet sheet in a specific location" and "Step 2: Take the dog there when it's time to use the toilet."

[1478] Step 6:

[1479] The server sends the formatted training instructions to the terminal as structured data in JSON format or similar.

[1480] Step 7:

[1481] The device analyzes the data received from the server and displays the training procedure to the user, with each step displayed in detail on the screen.

[1482] Step 8:

[1483] The user follows the displayed training procedure to train the pet, and inputs the training progress and results as feedback to the terminal.

[1484] Step 9:

[1485] The device captures user feedback and converts it into JSON format, which is then sent to the server as an HTTP POST request.

[1486] Step 10:

[1487] The server analyzes the received feedback and stores it in a database, where it evaluates the effectiveness of the training procedures and improves them if necessary.

[1488] Step 11:

[1489] The server generates an improved training procedure and sends it to the user terminal again. The improved procedure is applied, and the user can once again train the dog.

[1490] Example 1

[1491] Next, a description will be given of Example 1. In the following description, the data processing device 12 will be referred to as a "server" and the robot 414 will be referred to as a "terminal."

[1492] Conventional pet training systems have had difficulty in quickly obtaining the appropriate training procedures for users to effectively train their pet. Furthermore, they lacked the functionality to efficiently collect feedback on the progress and results of training and improve the training procedures. This resulted in the problem of not maximizing the effectiveness of training and not achieving the results users expected.

[1493] The specific processing by the specific processing unit 290 of the data processing device 12 in the first embodiment is realized by the following means.

[1494] In this invention, the server includes a means for accepting user input from a user terminal, a data analysis means for analyzing the user input and searching for relevant behavioral training procedures, and a data transmission means for formatting the behavioral training procedures and transmitting them to the user terminal. This allows users to train their pets efficiently and effectively. Furthermore, the system collects and analyzes user feedback and improves the training procedures, thereby improving the effectiveness of training and enabling users to achieve better results.

[1495] A "user terminal" is an electronic device such as a smartphone, tablet, or personal computer that provides an interface for a user to operate.

[1496] "Input content" refers to information that the user inputs through the terminal, and includes training requests, feedback, and the like.

[1497] The "data analysis means" is a part of the server that has the function of analyzing the user input content and searching and generating the related behavioral guidance procedure.

[1498] "Behavioral training procedures" are guidelines that show the specific steps and procedures required for training pets, and are stored in a database.

[1499] The "data transmission means" is a part of the server that has a function for transmitting the formatted behavior instruction procedure to the user terminal.

[1500] "Feedback" is information provided by the user about the progress and results of training, which is used to improve the system.

[1501] A "system" is a collection of information processing devices including user terminals, servers, related software and databases.

[1502] The present invention is a system that allows users to effectively train their pets. This system consists of a user terminal, a server, and related software and databases. Specifically, the user inputs training instructions into the terminal, and the server analyzes the input and provides appropriate training procedures. Furthermore, the system has the function of collecting feedback on the training the user has performed and improving the training procedures as necessary.

[1503] Hardware and software used

[1504] User devices: smartphones (iPhone, Android), tablets, personal computers

[1505] Server: Cloud server (AWS or Google Cloud Platform)

[1506] Software: React and Vue.js are used for the front end, Node.js and Django for the back end, and MySQL, PostgreSQL, MongoDB, etc. are used for the database.

[1507] System configuration

[1508] 1. User Device

[1509] User terminals are common electronic devices such as smartphones, tablets, and PCs.

[1510] Users use these devices to input training details and provide feedback.

[1511] 2. Server

[1512] The server receives and analyzes the data sent from the user terminal.

[1513] Based on the analysis results, the appropriate training procedures are retrieved from the database, formatted, and sent to the user's terminal.

[1514] We also improve our training procedures based on the feedback we collect.

[1515] 3. Software and Databases

[1516] The software is used to properly send the user's input to the server and display the analysis results in an easy-to-understand manner for the user.

[1517] The database is used to store various training procedures and feedback, and is used by the server for searching and retrieving.

[1518] Specific examples

[1519] Basic training steps

[1520] 1. The user starts the terminal and enters "toilet training."

[1521] 2. The device sends the input to the server.

[1522] 3. The server retrieves the appropriate instructions from the database, formats them, and sends them to the terminal.

[1523] 4. The device displays instructions to the user, such as "Place the toilet sheet in a specific location" and "Praise the user if successful."

[1524] 5. The user performs the training and inputs the results and progress as feedback into the device.

[1525] Training in emergency response

[1526] 1. The user starts up the terminal and enters, "I want my pet to help me in an emergency."

[1527] 2. The device sends the input to the server.

[1528] 3. The server retrieves the appropriate emergency response procedures from the database, formats them, and sends them to the device.

[1529] 4. The device displays instructions to the user, such as "Use the alarm bell" or "Teach a specific action."

[1530] 5. The user performs the training and inputs the results and progress as feedback into the device.

[1531] Prompt Sentence Examples

[1532] "Please tell me the steps to toilet training my pet."

[1533] This allows users to easily learn effective and appropriate training procedures and efficiently train their pets. Furthermore, by improving the procedures based on feedback, it is possible to continuously improve the effectiveness of training.

[1534] The flow of the identification process in the first embodiment will be described with reference to FIG.

[1535] Step 1:

[1536] The user starts the terminal and inputs the training content.

[1537] Input: The user turns on their smartphone or tablet, opens the training app, and enters the training instructions into the app's input field, either by typing text such as "toilet training" or by using voice input.

[1538] Specific action: The user types "toilet training" and presses the send button.

[1539] Output: The device temporarily stores the input in its internal memory.

[1540] Step 2:

[1541] The device captures the input and sends it to the server.

[1542] Input: User-entered discipline (text or audio data)

[1543] What it does: The device converts the input text or voice data into JSON format and sends it to the server's API endpoint using an HTTP POST request.

[1544] Output: Sent to the server as structured data.

[1545] Step 3:

[1546] The server analyzes the data and retrieves the appropriate training instructions from a database.

[1547] Input: JSON formatted discipline request data received by the server

[1548] What it does: The server uses a natural language processing (NLP) engine to analyze the incoming data and extract keywords like "toilet" or "training," then runs a database query to find the appropriate training instructions.

[1549] Output: Relevant training procedure data retrieved from the database

[1550] Step 4:

[1551] The server formats the training procedure it has acquired and sends it to the terminal.

[1552] Input: Training procedure data retrieved from the database

[1553] What it does: The server formats the training instructions into a format that's easy for the user to understand. For example, it might use Markdown or HTML to format each step. It then converts the formatted data back into JSON and sends it to the user's device as an HTTP response.

[1554] Output: Formatted training sequence data is sent to the terminal.

[1555] Step 5:

[1556] The terminal displays the training procedure to the user.

[1557] Input: Formatted training protocol data received from the server

[1558] What it does: The device analyzes the data it receives and displays it in the app's interface. It displays step-by-step instructions in bulleted form for the user to see. For example, it might say, "Put the toilet paper in a specific place" or "Praise the user when they succeed."

[1559] Output: Visually displayed training instructions

[1560] Step 6:

[1561] The user carries out the training and inputs the results into the terminal.

[1562] Input: The results and progress of the training performed by the user

[1563] Specific operation: The user follows the training procedure to train their pet and enters the results in the feedback form within the app, for example, by selecting an appropriate option such as "Successful" or "Failed partway through."

[1564] Output: Feedback data entered into the terminal

[1565] Step 7:

[1566] The device sends the feedback to the server.

[1567] Input: User-entered feedback data

[1568] Specific operation: The device converts the feedback data into JSON format and sends it again to the server's API endpoint as an HTTP POST request.

[1569] Output: Feedback data sent to the server as structured data

[1570] Step 8:

[1571] The server analyzes the feedback and improves the training procedures as needed.

[1572] Input: Received feedback data

[1573] Specific actions: The server analyzes the feedback data and identifies the problems the user is having and areas for improvement. It uses NLP and machine learning algorithms to extract specific problem areas.

[1574] Output: List of areas needing improvement and revised discipline procedures

[1575] Step 9:

[1576] The server sends the improved procedure to the terminal and provides it to the user.

[1577] Input: Revised discipline procedures

[1578] Specific operation: The server formats the revised instructions, converts them back into JSON format, and sends them to the user's terminal.

[1579] Output: The revised training sequence is sent to the terminal and displayed to the user.

[1580] (Application example 1)

[1581] Next, a description will be given of Application Example 1. In the following description, the data processing device 12 will be referred to as a "server" and the robot 414 will be referred to as a "terminal."

[1582] Conventional pet training systems are limited to use at home and do not support training and instruction in physical stores. Furthermore, they are unable to provide training procedures tailored to the specific conditions and environments within a store, making it difficult to effectively train pets in real-world situations.

[1583] The specific processing by the specific processing unit 290 of the data processing device 12 in the application example 1 is realized by the following means.

[1584] In this invention, the server includes means for accepting user input from a user terminal, means for analyzing the user input and searching for relevant training procedures, means for formatting the training procedures and sending them to the user terminal, means for accepting feedback on the training carried out by the user, means for analyzing the accepted feedback and improving the training procedures, and means for providing procedures that take into account the specific conditions required for training in a store. This makes it possible to provide effective training procedures that are suited to the environment and conditions in a physical store and to improve the procedures using the feedback.

[1585] A "user terminal" is a device that allows a user to input training content and provide confirmation and feedback, and includes electronic devices such as smartphones, tablets, and PCs.

[1586] The "server means" is a server that has the function of receiving data sent from a user terminal, analyzing it, and searching for and providing related information from a database.

[1587] A "training procedure" is a specific step or instruction method for guiding a pet's behavior appropriately.

[1588] "Feedback" is information that the user inputs and sends to the server about the results and progress of training.

[1589] "Analysis" is the process by which the server selects and formats the optimal training procedures based on the data it receives.

[1590] "Formatting" is the process by which the server converts the training instructions into a form that is easy for the user to understand.

[1591] "Specific conditions for training in stores" are training requirements that take into account the specific environment and circumstances of a physical store (for example, contact with other pets and involvement of store staff).

[1592] The present invention relates to a pet training support system for use in a physical store specializing in pet supplies. This system is composed of a user terminal, a server, and related software and databases. Specific embodiments for implementing this invention are described in detail below.

[1593] The system is basically made up of the following components:

[1594] User terminal

[1595] The user terminal is a device that allows the user to input training content and receive feedback accordingly, and can be a smartphone, tablet, PC, etc.

[1596] The user can input training goals and problem behaviors through the device. For example, they can input "I want to teach my dog ​​to sit in the store" by text or voice.

[1597] server

[1598] This is a server that receives and analyzes data sent from user terminals.

[1599] The server analyzes the user's input, searches the database for relevant training procedures, and formats the training procedures taking into account the specific conditions within the store (such as contact with other pets and support from store staff).

[1600] The formatted training procedure is sent from the server to the user terminal, which displays it to the user.

[1601] Software and Databases

[1602] The software is a program that properly sends the user's input to the server and displays the analysis results in an easy-to-understand manner for the user.

[1603] The database stores various training procedures and feedback, which the server uses to search and retrieve.

[1604] Program Operation

[1605] Data entry and analysis

[1606] The user launches the smartphone app and inputs the training goal or problem behavior in the store. For example, they can input text or voice input such as "I want to teach my dog ​​to sit in the store."

[1607] The device captures the input and sends it to the server as structured data, such as JSON.

[1608] Generate and provide training procedures

[1609] The server analyzes the received data and searches a database for relevant training procedures.

[1610] The acquired training procedures are tailored to take into account the specific conditions within the store (e.g., contact with other pets, involvement of store staff).

[1611] The formatted training instructions are sent from the server to the user's device, where they are displayed to the user. Videos and illustrations are also used to make the instructions easier to understand visually.

[1612] Gathering feedback and improving procedures

[1613] The user performs the training and inputs the progress and results into the terminal, for example, "a particular action was successful."

[1614] The terminal sends this feedback to the server, which then analyzes the received feedback.

[1615] If necessary, the training procedure is improved and the user is notified of the new training procedure again.

[1616] Specific examples

[1617] Prompt Sentence Examples

[1618] If a user types "I want to teach you to sit in my store":

[1619] Please enter the training (e.g., sit in the store):

[1620] This will enable the provision of effective training procedures tailored to the environment and conditions within a physical store, and the improvement of the procedures based on that feedback.

[1621] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[1622] Step 1:

[1623] The user launches the smartphone app and inputs the training details. Specifically, the user inputs the training goal, such as "I want to teach my dog ​​to sit in the store," either by text or voice. The input is then imported into the device. The input is captured on the device using a text field or voice recognition function.

[1624] Step 2:

[1625] The device converts the user's input into structured data, such as JSON format, and sends it to the server. The device then encodes the user's input into the appropriate data format and sends it to the server via an HTTP POST request. The server is then ready to receive the user's request. The data sent includes text information about the training goal.

[1626] Step 3:

[1627] The server analyzes the received data and searches the database for appropriate training instructions. The server decodes the received JSON data and analyzes the input using a generative AI model. Based on the analysis results, it searches and extracts relevant training instructions from the database. For example, it selects the training instruction for "sit."

[1628] Step 4:

[1629] The server then formats the training instructions it has acquired, taking into account the specific conditions within the store. The server then adjusts the instructions, taking into account the store's environment and conditions (e.g., contact with other pets, involvement of store staff, etc.), and converts them into a format that is easy for users to understand. For example, it adds videos and illustrations to make the instructions visually easier to understand.

[1630] Step 5:

[1631] The server sends the formatted training instructions to the user device. The server then encodes the formatted instructions into JSON format again and sends it back to the user device as an HTTP response. The user device receives this data and is ready to display the training instructions.

[1632] Step 6:

[1633] The user's device displays the training procedure and provides real-time guidance. The user checks and implements each step of the training procedure through the app. The device displays the procedure in a visual format (video, illustrations, text). For example, instructions such as "Put a toilet sheet on the floor" and "Say a specific command" are displayed.

[1634] Step 7:

[1635] The user performs the training and inputs the results and progress into the device, providing feedback on whether the training was successful or not, and which steps caused problems. The user enters this information through text fields and multiple-choice checkboxes.

[1636] Step 8:

[1637] The device sends user feedback to the server, which analyzes it. The device sends the feedback data in JSON format to the server, which then analyzes the received feedback in detail. The server then uses the feedback to identify areas for improvement in the training process.

[1638] Step 9:

[1639] The server improves the training procedure as needed and provides it to the user again. Based on the analysis results, the server creates a new training procedure and sends it back to the user's terminal. The user confirms the new procedure and performs the training again. This improves the effectiveness and accuracy of the training procedure.

[1640] Furthermore, an emotion engine that estimates the user's emotion may be further combined. That is, the identification processing unit 290 may estimate the user's emotion using the emotion identification model 59, and perform identification processing using the user's emotion.

[1641] This invention is a system designed to enable users to effectively train their pets, and aims to further enhance this effect by combining it with an emotion engine that recognizes the user's emotions. This system is composed of a user terminal, a server, an emotion engine, and related software and databases.

[1642] System configuration

[1643] 1. User Device

[1644] User terminals are common electronic devices such as smartphones, tablets, and PCs.

[1645] Users use these devices to input training details and provide feedback.

[1646] The device is equipped with an emotion engine that recognizes the user's emotions.

[1647] 2. Server

[1648] The server receives the data and emotion information sent from the user terminal and performs analysis.

[1649] Based on the analysis results, the appropriate training procedures are retrieved from the database, formatted, and sent to the user's terminal.

[1650] It also improves training procedures based on collected feedback and emotional data.

[1651] 3. Emotion Engine

[1652] The emotion engine recognizes emotions from the user's voice and facial expressions and analyzes that information.

[1653] The emotion engine analyzes the emotions of users in real time as they enter their training content.

[1654] 4. Software and Databases

[1655] The software is a program that sends the user's input and emotional data to a server and displays the analysis results in an easy-to-understand manner for the user.

[1656] The database stores various training procedures, feedback, and emotional data, and is used by the server to search and retrieve them.

[1657] Program Operation

[1658] Accepting user input

[1659] The user terminal is then started, and the user can input the training details into the terminal. For example, specific requests such as "toilet training" or "sitting training" can be input by text or voice. The emotion engine analyzes the user's voice and facial expressions in real time and generates emotion data.

[1660] Sending a request to the server

[1661] The device captures the input and emotion data, converts it into JSON format, and sends the data to the server as an HTTP POST request.

[1662] Generate training procedures

[1663] The server receives the received data and parses the JSON data. From the parsed results, the server extracts the training content (e.g., "toilet training") and the user's emotional data. Based on the emotional data, the server searches the database for the appropriate training procedure and retrieves it.

[1664] Shaping training procedures

[1665] The acquired training instructions are formatted into a format that is easy for the user to understand. For example, it is formatted into steps such as "Step 1: Place a toilet sheet in a specific location" and "Step 2: Take the dog there when it's time to use the toilet." Depending on the emotional data, the system will provide the normal instructions if the user is relaxed, and simplified instructions if the user is stressed.

[1666] Send training instructions

[1667] The server sends the formatted training instructions to the terminal as structured data in JSON format or similar.

[1668] Display of training procedures

[1669] The device analyzes the data received from the server and displays the training procedure to the user. Each step is displayed in detail on the screen. Based on the emotion data, the training procedure is provided in the most appropriate way for the user.

[1670] Collecting feedback

[1671] The user performs training and inputs the progress and results as feedback into the device. At the same time, the emotion engine analyzes the user's emotions in real time during training and generates emotion data.

[1672] Sending feedback and sentiment data

[1673] The device captures feedback and emotion data, converts it into JSON format, and sends the data to the server as an HTTP POST request.

[1674] Server analysis and procedure improvement

[1675] The server analyzes the received feedback and emotional data and stores them in a database. Based on the analysis results, it evaluates the effectiveness of the training procedure and improves it if necessary. Taking the emotional data into account, the improved procedure is provided to the user in an optimal form.

[1676] Specific examples

[1677] Basic training steps

[1678] 1. The user starts up the device and enters "toilet training." The emotion engine analyzes the user's emotions.

[1679] 2. The device sends the input content and emotion data to the server.

[1680] 3. The server retrieves the appropriate procedure from the database, formats it according to the emotion data, and sends it to the device.

[1681] 4. The device displays instructions to the user, such as "Place the toilet sheet in a specific location" and "Praise the user when successful." If the user is relaxed, detailed instructions are displayed, but if the user is stressed, simplified instructions are displayed.

[1682] 5. The user performs the training and provides feedback on the results and progress, which is then entered into the device. The emotion engine analyzes the user's emotions.

[1683] Training in emergency response

[1684] 1. The user starts up the device and enters, "I want my pet to help me in an emergency." The emotion engine analyzes the user's emotions.

[1685] 2. The device sends the input content and emotion data to the server.

[1686] 3. The server retrieves the appropriate emergency response procedures from the database, formats them according to the emotion data, and sends them to the device.

[1687] 4. The device displays instructions to the user, such as "use the alarm bell" or "teach a specific action." The approach is adjusted depending on the user's emotions.

[1688] 5. The user performs the training and provides feedback on the results and progress, which is then entered into the device. The emotion engine analyzes the user's emotions.

[1689] The present invention allows users to effectively train their pets, and by utilizing an emotion engine, it is possible to provide training procedures optimized for the user's mental state, thereby enabling pets to respond to emergency situations faced by their owners.

[1690] The processing flow will be explained below.

[1691] Step 1:

[1692] The user launches the app and enters the training details. They enter the training details, such as "toilet training," into the device's text box and click the send button. Alternatively, they can enter the desired training details via voice input. The emotion engine detects the user's voice and facial expressions in real time and generates emotion data.

[1693] Step 2:

[1694] The device captures the user's input and emotion data, converts it into JSON format, and sends the converted data to the server as an HTTP POST request.

[1695] Step 3:

[1696] The server receives the request and parses the JSON data. The server extracts the training details (e.g., "Toilet training") and emotion data from the parsed results.

[1697] Step 4:

[1698] The server searches the database and retrieves data related to the training content. Specifically, it retrieves "toilet training procedures" from the database.

[1699] Step 5:

[1700] The server formats the training instructions it acquires into a format that is easy for the user to understand. Based on the emotional data, it selects and provides detailed instructions when the user is relaxed, and simplified instructions when the user is stressed.

[1701] Step 6:

[1702] The server sends the formatted training instructions to the terminal as structured data in JSON format or similar.

[1703] Step 7:

[1704] The device analyzes the data received from the server and displays the training procedure to the user. Each step is displayed in detail on the screen. The way the procedure is presented changes based on the emotion data.

[1705] Step 8:

[1706] The user follows the displayed training procedure to train their pet. The user inputs the training progress and results as feedback into the device. At the same time, the emotion engine analyzes the user's emotions in real time during training and generates emotion data.

[1707] Step 9:

[1708] The device captures user feedback and emotion data, converts it into JSON format, and sends it to the server as an HTTP POST request.

[1709] Step 10:

[1710] The server analyzes the received feedback and emotion data and stores it in a database. Based on the analysis results, the effectiveness of the training procedures is evaluated and the procedures are improved if necessary.

[1711] Step 11:

[1712] The server generates an improved training procedure and sends it to the user's device again. The improved procedure is applied, allowing the user to train the dog again. Based on the emotion data, the system supports the user in providing more effective training.

[1713] Specific examples

[1714] Basic training steps

[1715] 1. Step 1: The user starts the device and enters "Toilet training." The emotion engine analyzes the user's emotion.

[1716] 2. Step 2: The device sends the input content and emotion data to the server.

[1717] 3. Step 3: The server retrieves the appropriate procedure from the database, formats it according to the emotion data, and sends it to the terminal.

[1718] 4. Step 4: The device displays instructions to the user, such as "Place the toilet sheet in a specific location" and "Praise the user when successful." If the user is relaxed, detailed instructions are displayed, but if the user is stressed, simplified instructions are displayed.

[1719] 5. Step 5: The user performs the training and provides feedback on the results and progress, which is then entered into the device. The emotion engine analyzes the user's emotions.

[1720] Training in emergency response

[1721] 1. Step 1: The user starts the device and enters "I want my pet to help me in an emergency." The emotion engine analyzes the user's emotion.

[1722] 2. Step 2: The device sends the input content and emotion data to the server.

[1723] 3. Step 3: The server retrieves the appropriate emergency response procedures from the database, formats them according to the emotion data, and sends them to the terminal.

[1724] 4. Step 4: The device displays instructions to the user, such as "Use the alarm bell" or "Teach a specific action." The approach is adjusted depending on the user's emotions.

[1725] 5. Step 5: The user performs the training and provides feedback on the results and progress, which is then entered into the device. The emotion engine analyzes the user's emotions.

[1726] The present invention allows users to effectively train their pets, and by utilizing an emotion engine, it is possible to provide training procedures optimized for the user's mental state, thereby enabling pets to respond to emergency situations faced by their owners.

[1727] Example 2

[1728] Next, a description will be given of Example 2. In the following description, the data processing device 12 will be referred to as a "server" and the robot 414 will be referred to as a "terminal."

[1729] Conventional pet training systems provide training procedures without taking the user's mental state into consideration, which often leads to stress and ineffective training. Furthermore, they lack the functionality to properly analyze user feedback and improve procedures, making it difficult to sustainably improve the effectiveness of training.

[1730] The specific processing by the specific processing unit 290 of the data processing device 12 in Example 2 is realized by the following means. In this invention, the server includes means for accepting user input from a user terminal, means for analyzing the user's voice and facial expression and generating emotional data, means for capturing the user input and emotional data, converting them into JSON format, and transmitting them to the server, server means for analyzing the user input and searching for relevant discipline procedures, server means for formatting the discipline procedures and emotional data according to the user's mental state and transmitting them to the user terminal, means for accepting feedback and emotional data on the discipline implemented by the user, and means for analyzing the accepted feedback and emotional data and improving the discipline procedures. This makes it possible to provide discipline procedures optimized for the user's mental state and to continuously improve the discipline procedures based on the feedback.

[1731] A "user device" is a common electronic device, such as a smartphone, tablet, or PC, that a user uses to input training content and provide feedback.

[1732] The "server" is a computer system that receives data and emotional information sent from a user terminal, analyzes the data, and provides appropriate training procedures to the user terminal.

[1733] "Emotion data" is data that indicates the user's emotional state and is generated by the emotion engine through analysis of the user's voice and facial expressions.

[1734] "JSON format" is an abbreviation for JavaScript Object Notation, and is a format for expressing data concisely in text format.

[1735] A "training routine" is a step-by-step instruction or method that a user uses to teach a pet a particular behavior or habit.

[1736] "Feedback" refers to information that the user records and reports to the system about the results and progress of training.

[1737] An "emotion engine" is a software or hardware tool that analyzes a user's voice and facial expressions in real time and generates emotion data.

[1738] The present invention is a system designed to enable users to effectively train their pets. The system aims to provide training procedures optimized for the user's mental state by incorporating an emotion engine that recognizes the user's emotions. Specific embodiments for implementing the present invention will be described below.

[1739] System configuration

[1740] The system consists of the following main components:

[1741] 1. User Device

[1742] The user device is a common electronic device such as a smartphone, tablet, or PC. Users use these devices to input training details and provide feedback.

[1743] The device is equipped with an emotion engine that analyzes the user's voice and facial expressions and generates emotion data.

[1744] 2. Server

[1745] The server receives and analyzes the input and emotion data sent from the user's device. Based on the analysis results, it retrieves appropriate training procedures from the database, formats them, and sends them to the user's device.

[1746] It also improves training procedures based on collected feedback and emotional data.

[1747] 3. Emotion Engine

[1748] The emotion engine is software or hardware that analyzes the user's voice and facial expressions in real time and generates emotion data.

[1749] 4. Software and Databases

[1750] The software is a program that sends the user's input and emotional data to a server and displays the analysis results in an easy-to-understand manner for the user.

[1751] The database stores various training procedures, feedback, and emotional data, and is used by the server for searching and retrieving.

[1752] Program Operation

[1753] The outline of the program operation in this system is as follows.

[1754] Accepting user input

[1755] The user turns on the device and inputs specific training instructions, such as "toilet training" or "sitting training." The emotion engine analyzes the user's voice and facial expressions in real time and generates emotion data.

[1756] Sending a request to the server

[1757] The device captures the input and emotion data, converts it into JSON format, and sends the data to the server as an HTTP POST request.

[1758] Generate training procedures

[1759] The server analyzes the received data, extracts the training content and the user's emotional data, and searches the database for the appropriate training procedure.

[1760] Shaping training procedures

[1761] The acquired training instructions are formatted in a format that is easy for the user to understand. For example, they can be divided into steps such as "Step 1: Place a toilet sheet in a specific location" and "Step 2: Take your dog there when it's time to use the toilet." Depending on the emotional data, detailed instructions are provided if the user is relaxed, and simplified instructions are provided if the user is stressed.

[1762] Send and view training instructions

[1763] The formatted training instructions are sent from the server to the terminal. The user terminal analyzes the received data and displays the training instructions to the user. Based on the emotion data, the training instructions are provided in the most appropriate way for the user.

[1764] Collecting feedback

[1765] The user performs training and inputs the progress and results as feedback to the device. At the same time, the emotion engine analyzes the user's emotions in real time during training and generates emotion data.

[1766] Sending and analyzing feedback and sentiment data

[1767] The device captures feedback and emotion data, converts it into JSON format, and sends it to the server. The server analyzes the received feedback and emotion data and stores it in a database. Based on the analysis results, the effectiveness of the training procedure is evaluated and the procedure is improved if necessary. Taking the emotion data into consideration, the improved procedure is provided to the user in the most optimal form.

[1768] Specific examples

[1769] Below are some specific examples of using this system.

[1770] Examples of basic training steps

[1771] 1. The user starts the device and inputs "toilet training." The emotion engine analyzes the user's emotions.

[1772] 2. The device sends the input content and emotion data to the server.

[1773] 3. The server retrieves the appropriate procedure from the database, formats it according to the emotion data, and sends it to the device.

[1774] 4. The device displays instructions to the user, such as "Place the toilet sheet in a specific location" and "Praise the user when successful." If the user is relaxed, detailed instructions are displayed, but if the user is stressed, simplified instructions are displayed.

[1775] 5. The user performs the training and enters the results and progress into the device. The emotion engine analyzes the user's emotions again.

[1776] In this way, the present system provides training procedures that are optimized for the user's mental state, enabling continuous improvement in the effectiveness of training.

[1777] The flow of the identification process in the second embodiment will be described with reference to FIG.

[1778] Step 1:

[1779] The user starts up the device and inputs specific training instructions, such as "toilet training" or "sitting training," using text or voice. The emotion engine analyzes the user's voice and facial expressions in real time and generates emotion data.

[1780] Input: Training content (text or voice), user's voice and facial expressions

[1781] Output: Training details, emotional data

[1782] Step 2:

[1783] The device captures the input training content and generated emotion data, converts it into JSON format, and sends the converted data to the server as an HTTP POST request.

[1784] Input: Training details, emotional data

[1785] Output: JSON formatted data, HTTP POST request

[1786] Step 3:

[1787] The server analyzes the received data, extracts the training content and emotion data from the JSON data, and searches the database for the relevant training procedures.

[1788] Input: JSON format data

[1789] Output: Training content, emotional data, appropriate training procedures

[1790] Step 4:

[1791] The server formats the training instructions it receives into a format that is easy for the user to understand. For example, it divides the instructions into steps, such as "Step 1: Place a toilet sheet in a specific location" and "Step 2: Take the dog there when it's time to use the toilet." Based on the emotional data, it provides detailed instructions if the user is relaxed, and simplified instructions if the user is stressed.

[1792] Input: Training procedures, emotion data

[1793] Output: Formatted training instructions

[1794] Step 5:

[1795] The server sends the formatted training instructions to the terminal as structured data in JSON format.

[1796] Input: Formatted training instructions

[1797] Output: Structured data in JSON format

[1798] Step 6:

[1799] The device analyzes the received JSON data and displays training instructions to the user. Each step is displayed in detail on the screen. Based on the emotion data, training instructions are provided in the most appropriate way for the user.

[1800] Input: Structured data in JSON format

[1801] Output: Training instructions displayed on the screen

[1802] Step 7:

[1803] The user performs training and inputs the progress and results as feedback into the device. At the same time, the emotion engine analyzes the user's emotions in real time during training and generates emotion data.

[1804] Input: Training results, user's voice and facial expressions

[1805] Output: Feedback, emotion data

[1806] Step 8:

[1807] The device captures the feedback and emotion data, converts it back into JSON format, and sends it to the server.

[1808] Input: Feedback, emotion data

[1809] Output: JSON formatted data, HTTP POST request

[1810] Step 9:

[1811] The server analyzes the received feedback and emotional data and stores them in a database. Based on this analysis, it evaluates the effectiveness of the training program and improves it if necessary. Taking the emotional data into account, the improved program is then provided to the user in an optimal format.

[1812] Input: Feedback, emotion data

[1813] Output: Improved training procedure

[1814] (Application example 2)

[1815] Next, a description will be given of Application Example 2. In the following description, the data processing device 12 will be referred to as a "server" and the robot 414 will be referred to as a "terminal."

[1816] Conventional food delivery services often offer a uniform menu without considering the user's emotional state. This makes it difficult to provide a menu that best suits a user's situation, such as when they are feeling stressed or when they want to relax. Furthermore, the ordering process is not customized according to the user's emotional state, resulting in a uniform user experience and lower satisfaction.

[1817] The specific processing by the specific processing unit 290 of the data processing device 12 in Application Example 2 is realized by the following means. In this invention, the server includes means for accepting user input from a user terminal, server means for analyzing the user input and searching for related training procedures, means for analyzing the user's emotions in real time using an emotion engine, means for optimizing the training procedures based on the analyzed emotion data, and means for making personalized suggestions based on the user's emotion data. This makes it possible to provide optimal menu suggestions and customized ordering procedures based on the user's emotional state.

[1818] A "user terminal" is an electronic device used by a user to send input and receive training protocol suggestions.

[1819] The "emotion engine" is a system that has the function of analyzing the user's emotional state from their voice and facial expressions.

[1820] The "server means" is a device or system for receiving data sent from a user terminal, analyzing the data, and providing related information.

[1821] "Feedback" means that the user inputs the results and progress of training into the terminal.

[1822] "Personalized suggestions" refers to making suggestions optimized for individual users based on the user's emotional data.

[1823] "Analyzed emotion data" is data obtained as a result of analyzing the user's emotional state using the emotion engine.

[1824] A "training protocol" is a specific step or method for teaching a particular behavior or rule.

[1825] The system for realizing this invention is composed of a user terminal, a server, an emotion engine, and related software and databases. The specific roles and operations of each are described below.

[1826] User terminal

[1827] Users access the food delivery application using a user device such as a smartphone, tablet, or PC. The device accepts the user's input in voice or text format and analyzes the user's emotions in real time using an emotion engine. The analysis results are then sent from the user device to the server.

[1828] Server Means

[1829] The server receives and analyzes the input and emotional data sent from the user's device. Based on the analysis results, it makes recommendations for appropriate food and drinks. These recommendations are personalized based on the user's emotional data and optimized for the user's emotional state. Based on the analyzed emotional data, it optimizes training procedures and sends them to the user's device.

[1830] Emotion Engine

[1831] The emotion engine is a system that recognizes emotions from the user's voice and facial expressions in real time and analyzes the data. The emotion data generated by the emotion engine is sent to a server and used to optimize the content of suggestions.

[1832] Software and Databases

[1833] The software is a program that sends user input and emotional data to the server and displays suggestions from the server to the user. The database stores various food and drink suggestions, feedback, and emotional data, which the server uses for searching and retrieving.

[1834] Specific examples

[1835] Let's say a user launches a food delivery app and types "I want green tea." At this time, the emotion engine analyzes the user's emotional state. If it determines that the user is feeling stressed, the server will suggest options with a relaxing effect. For example, it will suggest drinks that are expected to have a relaxing effect, such as "chamomile tea" or "lavender tea." If the user is relaxed, it will suggest standard drinks such as "matcha latte" or "hojicha latte."

[1836] Prompt Sentence Examples

[1837] When using a generative AI model to make menu suggestions based on the user's emotional state, possible prompts include:

[1838] "What would be the perfect menu suggestion for a user experiencing stress while using a food delivery app? Give specific examples of drinks or snacks that would help them relax and explain why."

[1839] This prompt allows the generative AI model to suggest the most appropriate menu for the user's condition, improving the user experience.

[1840] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[1841] Step 1:

[1842] Users launch the food delivery app on their smartphone, tablet, or PC and enter their order details by voice or text. The entered details are stored on the device and are analyzed by the emotion engine.

[1843] Input: User's order details (e.g. "I want green tea")

[1844] Output: User order details data

[1845] Step 2:

[1846] The device uses a built-in camera and microphone to capture the user's facial expressions and voice, and passes them to the emotion engine, which analyzes them in real time to determine the user's emotional state.

[1847] Input: User's facial expressions and voice data

[1848] Output: Analyzed emotion data (e.g., stress state)

[1849] Step 3:

[1850] The device converts the user's input and analyzed emotion data into JSON format and sends it to the server as an HTTP POST request.

[1851] Input: User order data, analyzed emotion data

[1852] Output: Request data in JSON format

[1853] Step 4:

[1854] The server analyzes the received JSON data, extracts the user's order details and emotional data, and generates appropriate menu suggestions based on the extracted information and emotional data.

[1855] Input: Request data in JSON format

[1856] Output: Analysis results (order details, emotion data), suggested menu data

[1857] Step 5:

[1858] The server formats the suggested menu in a format optimized for the user's emotional state, converts it back into JSON format, and sends it to the user's device.

[1859] Input: Proposed menu data

[1860] Output: JSON data of the user-optimized suggestion menu

[1861] Step 6:

[1862] The terminal parses the JSON data of the proposed menu received from the server and displays it to the user. The user selects from the displayed proposed menu and confirms the order.

[1863] Input: JSON data of the suggestion menu

[1864] Output: An optimized suggestion menu presented to the user

[1865] Step 7:

[1866] After the user confirms the order, the terminal captures the order details and the re-analyzed emotion data as feedback and transmits them to the server again.

[1867] Input: Order confirmation details, emotional feedback data

[1868] Output: Feedback data in JSON format

[1869] Step 8:

[1870] The server analyzes the received feedback data and stores it in a database, which can then be used to improve future suggestions.

[1871] Input: Feedback data in JSON format

[1872] Output: Stores analyzed feedback data

[1873] The specific processing unit 290 transmits the result of the specific processing to the robot 414. In the robot 414, the control unit 46A causes the speaker 240 and the control target 443 to output the result of the specific processing. The microphone 238 acquires voice indicating a user input regarding the result of the specific processing. The control unit 46A transmits voice data indicating the user input acquired by the microphone 238 to the data processing device 12. In the data processing device 12, the specific processing unit 290 acquires the voice data.

[1874] The data generation model 58 is a so-called generative AI (Artificial Intelligence). An example of the data generation model 58 is ChatGPT (Internet Search<URL: https: / / openai.com / blog / chatgpt> ), Gemini (Internet search <url: https: gemini.google.com ?hl="ja">) and other generation AIs. The data generation model 58 is obtained by performing deep learning on a neural network. A prompt including an instruction is input to the data generation model 58, and inference data such as voice data indicating voice, text data indicating text, and image data indicating an image is also input. The data generation model 58 performs inference on the input inference data in accordance with the instruction indicated by the prompt, and outputs the inference result in a data format such as voice data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization.

[1875] In the above embodiment, an example was given in which the specific processing is performed by the data processing device 12, but the technology of the present disclosure is not limited to this, and the specific processing may be performed by the robot 414.

[1876] The emotion identification model 59 as an emotion engine may determine the user's emotion according to a specific mapping. Specifically, the emotion identification model 59 may determine the user's emotion according to an emotion map (see FIG. 9), which is a specific mapping. Similarly, the emotion identification model 59 may determine the robot's emotion, and the identification processing unit 290 may perform identification processing using the robot's emotion.

[1877] FIG. 9 illustrates an emotion map 400 on which multiple emotions are mapped. In the emotion map 400, emotions are arranged in concentric circles radiating from the center. Emotions closer to the center of the concentric circles are more primitive. Emotions representing states and behaviors arising from a state of mind are arranged on the outer edges of the concentric circles. The concept of emotion includes both affect and mental states. Emotions generally generated from reactions occurring in the brain are arranged on the left side of the concentric circles. Emotions generally induced by situational judgment are arranged on the right side of the concentric circles. Emotions generally generated from reactions occurring in the brain and induced by situational judgment are arranged on the upper and lower sides of the concentric circles. Furthermore, the emotion of "pleasure" is arranged on the upper side of the concentric circles, and the emotion of "discomfort" is arranged on the lower side. In this way, in the emotion map 400, multiple emotions are mapped based on the structure by which emotions are generated, and emotions that tend to occur simultaneously are mapped close to each other.

[1878] These emotions are distributed in the 3 o'clock direction on emotion map 400, and typically fluctuate between relief and anxiety. In the right half of emotion map 400, situational awareness dominates over internal sensations, resulting in a sense of calm.

[1879] The inside of emotion map 400 represents what is going on in the mind, and the outside of emotion map 400 represents behavior, so the further you go outside emotion map 400, the more visible the emotions become (the more they are expressed in behavior).

[1880] Human emotions are based on various balances, such as posture and blood sugar levels. When these balances deviate from the ideal, a state of discomfort is indicated, and when they approach the ideal, a state of pleasure is indicated. Emotions can also be created for robots, automobiles, and motorcycles, based on various balances, such as posture and remaining battery life. When these balances deviate from the ideal, a state of discomfort is indicated, and when they approach the ideal, a state of pleasure is indicated. An emotion map can be generated, for example, based on Dr. Mitsuyoshi's emotion map (Research on Voice Emotion Recognition and Emotional Brain Physiological Signal Analysis Systems, Tokushima University, Doctoral Dissertation: https: / / ci.nii.ac.jp / naid / 500000375379). The left half of the emotion map lists emotions belonging to the "reaction" domain, where sensation is dominant. The right half of the emotion map lists emotions belonging to the "situation" domain, where situational awareness is dominant.

[1881] The emotion map defines two emotions that promote learning. One is a negative emotion on the situation side, around the middle of "repentance" or "reflection." In other words, this occurs when the robot experiences negative emotions such as "I never want to feel this way again" or "I don't want to be scolded again." The other is a positive emotion on the response side, around "desire." In other words, this occurs when the robot experiences positive feelings such as "I want more" or "I want to know more."

[1882] The emotion identification model 59 inputs user input into a pre-trained neural network, obtains emotion values ​​indicating each emotion shown in the emotion map 400, and determines the user's emotion. This neural network is pre-trained based on multiple pieces of training data that are combinations of user input and emotion values ​​indicating each emotion shown in the emotion map 400. Furthermore, this neural network is trained so that emotions that are located close to each other have similar values, as in the emotion map 900 shown in FIG. 10. FIG. 10 shows an example in which multiple emotions, "relieved," "calm," and "reassuring," have similar emotion values.

[1883] The system according to the present disclosure has been described above mainly with respect to the functions of the data processing device 12, but the system according to the present disclosure is not necessarily implemented on a server. The system according to the present disclosure may be implemented as a general information processing system. The present disclosure may be implemented, for example, as a software program running on a personal computer or an application running on a smartphone, etc. The method according to the present disclosure may be provided to users in the form of SaaS (Software as a Service).

[1884] In the above embodiment, an example was given in which the specific processing is performed by one computer 22, but the technology of the present disclosure is not limited to this, and the specific processing may be distributed and performed by a plurality of computers including the computer 22. For example, the data generation model 58 may be provided in an external device of the data processing device 12, and data may be generated in the external device in accordance with input data.

[1885] In the above embodiment, an example in which the specific processing program 56 is stored in the storage 32 has been described, but the technology of the present disclosure is not limited to this. For example, the specific processing program 56 may be stored in a portable, computer-readable, non-transitory storage medium such as a USB (Universal Serial Bus) memory. The specific processing program 56 stored in the non-transitory storage medium is installed in the computer 22 of the data processing device 12. The processor 28 executes the specific processing in accordance with the specific processing program 56.

[1886] 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.

[1887] It is not necessary to store all of the specific processing program 56 in a storage device such as a server connected to the data processing device 12 via the network 54, or to store all of the specific processing program 56 in the storage 32; only a portion of the specific processing program 56 may be stored.

[1888] The hardware resource for executing a specific process can be any of the following processors: An example of a processor is a CPU, which is a general-purpose processor that functions as a hardware resource for executing a specific process by executing software, i.e., a program. Another example of a processor is a dedicated electrical circuit, such as an FPGA (Field-Programmable Gate Array), a PLD (Programmable Logic Device), or an ASIC (Application Specific Integrated Circuit), which is a processor with a circuit configuration designed specifically for executing a specific process. Each processor has built-in or connected memory, and each processor uses the memory to execute the specific process.

[1889] The hardware resource that executes the specific processing may be configured with one of these various processors, or may be configured with a combination of two or more processors of the same or different types (for example, a combination of multiple FPGAs, or a combination of a CPU and an FPGA). Also, the hardware resource that executes the specific processing may be a single processor.

[1890] As an example of a system configured with a single processor, first, one processor is configured by combining one or more CPUs and software, and this processor functions as a hardware resource that executes a specific process. Second, there is a system that uses a processor that realizes the functions of an entire system including multiple hardware resources that execute a specific process on a single IC chip, as typified by SoC (System-on-a-chip). In this way, a specific process is realized using one or more of the above-mentioned various processors as hardware resources.

[1891] Furthermore, the hardware structure of these various processors can be, more specifically, an electric circuit that combines circuit elements such as semiconductor devices. The specific processing described above is merely an example. Therefore, it goes without saying that unnecessary steps may be deleted, new steps may be added, or the processing order may be rearranged, without departing from the spirit of the invention.

[1892] The above-described description and illustrations are a detailed explanation of the parts related to the technology of the present disclosure and are merely an example of the technology of the present disclosure. For example, the above description of the configuration, functions, actions, and effects is an explanation of an example of the configuration, functions, actions, and effects of the parts related to the technology of the present disclosure. Therefore, it goes without saying that unnecessary parts may be deleted, new elements may be added, or replacements may be made to the above-described description and illustrations within the scope of the gist of the technology of the present disclosure. Furthermore, to avoid confusion and facilitate understanding of the parts related to the technology of the present disclosure, the above-described description and illustrations omit explanations of common technical knowledge that do not require particular explanation to enable the implementation of the technology of the present disclosure.

[1893] All publications, patent applications, and technical standards mentioned in this specification are herein incorporated by reference to the same extent as if each individual publication, patent application, or technical standard was specifically and individually indicated to be incorporated by reference.

[1894] The following is further disclosed regarding the above embodiment.

[1895] (Claim 1)

[1896] means for receiving user input from a user terminal;

[1897] server means for analyzing user input and retrieving relevant training procedures;

[1898] a server means for formatting the training procedure and transmitting it to a user terminal;

[1899] means for receiving feedback on the training provided by the user;

[1900] A means of analyzing the feedback received and improving the training procedures;

[1901] A system including:

[1902] (Claim 2)

[1903] 2. The system according to claim 1, further comprising means for accepting input from a user into the terminal in the form of voice or text.

[1904] (Claim 3)

[1905] 2. The system according to claim 1, further comprising means for converting the training instructions into a format that is easy for the user to understand when the server formats the training instructions.

[1906] "Example 1"

[1907] (Claim 1)

[1908] means for receiving user input from a user terminal;

[1909] data analysis means for analyzing the user input and retrieving relevant behavioral guidance procedures;

[1910] a data transmission means for formatting the behavioral guidance procedure and transmitting it to the user terminal;

[1911] means for receiving feedback on the behavioral guidance performed by the user;

[1912] a means for analyzing the received feedback and improving the behavioral guidance procedures;

[1913] A system including:

[1914] (Claim 2)

[1915] 2. The system according to claim 1, further comprising means for accepting input from a user into the terminal in the form of voice or text.

[1916] (Claim 3)

[1917] 2. The system according to claim 1, further comprising means for converting the data into a format that is easy for a user to understand when the data analysis means forms a behavioral guidance procedure.

[1918] "Application Example 1"

[1919] (Claim 1)

[1920] means for receiving user input from a user terminal;

[1921] server means for analyzing user input and retrieving relevant training procedures;

[1922] a server means for formatting the training procedure and transmitting it to a user terminal;

[1923] means for receiving feedback on the training provided by the user;

[1924] A means of analyzing the feedback received and improving the training procedures;

[1925] A means to provide procedures that take into account the unique conditions required for training in the store; and

[1926] A system including:

[1927] (Claim 2)

[1928] 2. The system according to claim 1, further comprising means for accepting input from a user into the terminal in the form of voice or text.

[1929] (Claim 3)

[1930] 2. The system according to claim 1, further comprising means for converting the training instructions into a format that is easy for the user to understand when the server formats the training instructions.

[1931] "Example 2: Combining Emotion Engines"

[1932] (Claim 1)

[1933] means for receiving user input from a user terminal;

[1934] A means for analyzing a user's voice and facial expression and generating emotion data;

[1935] A means to capture user input and emotion data, convert it into JSON format, and send it to the server.

[1936] server means for analyzing user input and retrieving relevant training procedures;

[1937] a server means for adjusting the behavior in accordance with the user's mental state based on the training procedure and emotion data, and transmitting the adjusted behavior to the user terminal;

[1938] means for receiving feedback and emotional data of the training performed by the user;

[1939] a means for analyzing the received feedback and emotional data to improve the training procedures;

[1940] A system including:

[1941] (Claim 2)

[1942] 2. The system according to claim 1, further comprising means for accepting input from a user into the terminal in the form of voice or text.

[1943] (Claim 3)

[1944] 2. The system according to claim 1, further comprising means for converting the training instructions into a format that is easy for the user to understand when the server formats the training instructions.

[1945] "Application example 2 when combining emotion engines"

[1946] (Claim 1)

[1947] means for receiving user input from a user terminal;

[1948] server means for analyzing user input and retrieving relevant training procedures;

[1949] a server means for formatting the training procedure and transmitting it to a user terminal;

[1950] means for receiving feedback on the training provided by the user;

[1951] A means for analyzing user emotions in real time using an emotion engine;

[1952] means for optimizing a discipline procedure based on the analyzed emotion data;

[1953] means for providing personalized suggestions based on the user's emotional data;

[1954] A means of analyzing the feedback received and improving the training procedures;

[1955] A system including:

[1956] (Claim 2)

[1957] 2. The system according to claim 1, further comprising means for accepting input from a user into the terminal in the form of voice or text.

[1958] (Claim 3)

[1959] 2. The system according to claim 1, further comprising means for converting the training instructions into a format that is easy for the user to understand when the server formats the training instructions. [Explanation of symbols]

[1960] 10, 210, 310, 410 Data Processing Systems 12 Data Processing Device 14 Smart Devices 214 Smart Glasses 314 Headset-type terminal 414 Robot< / url:> < / url:> < / url:> < / url:>

Claims

1. means for receiving user input from a user terminal; server means for analyzing user input and retrieving relevant training procedures; a server means for formatting the training procedure and transmitting it to a user terminal; means for receiving feedback on the training provided by the user; A means of analyzing the feedback received and improving the training procedures; A system including:

2. 2. The system according to claim 1, further comprising means for accepting input from a user to the terminal in the form of voice or text.

3. 2. The system according to claim 1, further comprising means for converting the training procedure into a format that is easy for the user to understand when the server formats the training procedure.

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