System

Abstract

A system is provided.SOLUTION: This system is provided with a means for converting information inputted from a user in a voice format into text data, a means for analyzing the text data by natural language processing and specifying the emotional state and needs of the user, a means for generating proper support information based on the specified emotional state and needs, and a means for providing the generated support information to the user.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] In modern society, an increasing number of women are struggling to balance work and childcare. This leads to high levels of mental stress and physical fatigue accumulating on a daily basis, exacerbating mental health problems. Current support systems are limited to providing general information and lack personalized support tailored to the specific needs and emotional state of each individual user, making them unable to provide effective support. Therefore, there is a need for a system that provides information and support tailored to each individual user. [Means for solving the problem]

[0005] This invention is a system that includes means for converting information input by a user in voice format into text data, means for analyzing the text data using natural language processing to identify the user's emotional state and needs, means for generating appropriate support information based on the identified emotional state and needs, and means for providing the generated support information to the user. Furthermore, by including means for providing the support information to the user via a designated character, and means for searching for external service information according to the user's needs and providing the search results to the user as support information, the system realizes personalized and effective support for women who are busy both raising children and working. This system can reduce the user's physical and mental burden and improve their quality of life.

[0006] A "user" is an individual who uses the system and has concerns or needs related to childcare or work.

[0007] "Voice format" refers to the format of the voice data used when the user speaks to the system.

[0008] "Text data" is data that is expressed as a character string by analyzing audio data.

[0009] "Natural language processing" is a computer science technique for analyzing text data and understanding its meaning and sentiment.

[0010] An "emotional state" is the psychological or emotional state that a user is feeling at that moment.

[0011] A "need" is a specific request or requirement that a user currently has.

[0012] "Support information" is information or suggestions provided to address a user's needs or emotional state.

[0013] A "character" is a user-selectable and customizable virtual avatar or persona that is used to provide support information.

[0014] "External service information" is information about services provided by resources outside the system.

[0015] "Search results" are data that are found by searching for external service information according to the user's needs. [Brief explanation of the drawings]

[0016] [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

[0017] 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.

[0018] First, the terms used in the following description will be explained.

[0019] 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).

[0020] 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.

[0021] 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.

[0022] 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.

[0023] 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."

[0024] [First embodiment]

[0025] FIG. 1 shows an example of the configuration of a data processing system 10 according to the first embodiment.

[0026] 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.

[0027] 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).

[0028] 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.

[0029] 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.

[0030] 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.

[0031] 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.

[0032] FIG. 2 shows an example of the main functions of the data processing device 12 and the smart device 14.

[0033] 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.

[0034] 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.

[0035] 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.

[0036] 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."

[0037] This invention is a system that uses voice input to provide support tailored to the individual needs and emotional state of users who are busy balancing work and childcare. Below, the program processing of this system will be explained in natural language.

[0038] System configuration

[0039] User registration and character selection

[0040] 1. The user installs the application and enters their name, email address, childcare and work status on the registration screen, which collects basic information about the user.

[0041] 2. The device sends the user's registration information to the server. The server stores the received information in a database and sends the character selection screen data to the device.

[0042] 3. The user selects a character from a list and enters customization information (color, clothing, etc.). The device sends this information to the server, which stores the character information in a database.

[0043] Providing daily support

[0044] 1. The user launches the app and speaks out their concerns and condition for the day.

[0045] 2. The device uses voice recognition technology to convert the voice into text data.

[0046] 3. The device sends the converted text data to the server.

[0047] 4. The server passes the received text data to a natural language processing engine for content analysis, identifying, for example, concerns about child-rearing or work stress.

[0048] 5. The server performs sentiment analysis to assess the user's emotional state (e.g., stressed, relaxed, etc.).

[0049] Generating and providing support information

[0050] 1. The server generates appropriate support information based on the analyzed content and emotional state, such as advice on relaxation techniques or information on nearby support facilities.

[0051] 2. If necessary, the server calls external service APIs to obtain relevant service information, such as information on sick child care facilities or contact information for career counseling.

[0052] 3. The server generates support information and sends it to the device, which then provides it to the user. The character then offers comforting words and appropriate advice.

[0053] Specific examples

[0054] Example 1: Providing information about childcare facilities for sick children

[0055] 1. The user says, "My child suddenly developed a fever."

[0056] 2. The device converts the speech into text and sends it to the server.

[0057] 3. The server determines that the content is related to "child illness" and retrieves information about sick child care facilities from an external API.

[0058] 4. The server sends the relevant information to the terminal, and the terminal displays to the user, "Here are the nearest sick child care facilities."

[0059] Example 2: Career planning consultation

[0060] 1. A user says, "I want to go back to work, but I'm nervous."

[0061] 2. The device converts the speech into text and sends it to the server.

[0062] 3. The server analyzes the text, determines that the concern is about a career, and generates contact information and counseling information for a career counselor.

[0063] 4. The server sends the information to the device, which then displays the message to the user: "Would you like to speak to an expert?"

[0064] Effects of implementation

[0065] This system allows users to reduce stress from childcare and work and receive appropriate information and support, thereby improving the user's quality of life and reducing the mental burden.

[0066] The processing flow will be explained below.

[0067] Step 1:

[0068] Users install the application and enter their name, email address, and childcare and work status on the registration screen, which collects basic information.

[0069] Step 2:

[0070] The device sends the user's registration information to the server. The server stores the received information in a database and sends the character selection screen data to the device.

[0071] Step 3:

[0072] The user selects a character from a list and enters customization information (color, clothing, etc.). The device sends this information to the server, which then stores the character information in a database.

[0073] Step 4:

[0074] The user launches the app and speaks about their concerns and condition for the day. The device uses voice recognition technology to convert the speech into text data.

[0075] Step 5:

[0076] The terminal transmits the converted text data to the server.

[0077] Step 6:

[0078] The server passes the received text data to a natural language processing (NLP) engine, which analyzes the content and identifies, for example, concerns about child-rearing or work stress.

[0079] Step 7:

[0080] The server performs sentiment analysis to assess the user's emotional state (e.g., stressed, relaxed, etc.).

[0081] Step 8:

[0082] The server generates appropriate support information based on the analyzed content and emotional state, such as advice on relaxation techniques or information on nearby support facilities.

[0083] Step 9:

[0084] If necessary, the server calls external service APIs to obtain related service information, such as information on sick child care facilities or contact information for career counseling.

[0085] Step 10:

[0086] The server generates support information and sends it to the device, which then provides it to the user. Characters offer comforting words and appropriate advice.

[0087] Specific examples

[0088] Example 1: Providing information about childcare facilities for sick children

[0089] Step 1:

[0090] The user says, "My child suddenly developed a fever."

[0091] Step 2:

[0092] The device converts the speech into text and sends it to the server.

[0093] Step 3:

[0094] The server determines that the content is related to "child illness" and retrieves information about sick child care facilities from an external API.

[0095] Step 4:

[0096] The server sends the relevant information to the terminal, and the terminal displays to the user, "Here are the nearest sick child care facilities."

[0097] Example 2: Career planning consultation

[0098] Step 1:

[0099] A user says, "I want to go back to work, but I'm nervous."

[0100] Step 2:

[0101] The device converts the speech into text and sends it to the server.

[0102] Step 3:

[0103] The server analyzes the text, determines that the concern is about a career, and generates contact information and counseling information for a career counselor.

[0104] Step 4:

[0105] The server sends the information to the terminal, which then displays to the user, "Why not talk to an expert?"

[0106] Example 1

[0107] 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."

[0108] Today's busy users face various stresses and difficulties when balancing work and childcare. Sudden childcare issues and anxiety about returning to work can be particularly stressful. Furthermore, it can be difficult to quickly obtain appropriate advice and support information. To effectively address these issues and improve users' quality of life, a system that uses voice input to provide appropriate support tailored to the user's needs and emotional state is needed.

[0109] 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.

[0110] In this invention, the server includes means for converting information input by the user in voice form into text data, means for analyzing the text data using natural language processing to identify the user's emotional state and needs, means for generating appropriate support information based on the identified emotional state and needs, means for providing the generated support information to the user, means for saving and managing customization information related to a character selected by the user, and means for saving user registration information and character information in a database, thereby enabling users to reduce stress related to childcare or work and receive prompt and appropriate support information.

[0111] "Information input in the form of voice" refers to voice data uttered by a user via a voice input device such as a microphone.

[0112] "Means for converting into text data" refers to speech recognition technology or software for converting voice data into character string information.

[0113] "Natural language processing" is a general term for technologies and methods that allow computers to understand, interpret, and generate human language.

[0114] "Emotional state" refers to the psychological state (e.g., stress, relaxation, anxiety, etc.) analyzed from the words and voices of the user.

[0115] "Needs" is a term that refers to user requests and the services, information, support, etc. that are required.

[0116] "Support information" refers to advice and information provided based on the user's needs and emotional state.

[0117] "Character" means a virtual person, animal, or other graphical entity that a user can select and customize within an Application.

[0118] "Customization information" refers to setting information related to the appearance (color, clothing, etc.) of the character selected by the user.

[0119] A "database" refers to a system with a logical data structure for efficiently storing, searching, and updating large amounts of data.

[0120] "Means for generating" refers to the process or system for constructing, processing, and outputting appropriate support information based on the user's emotional state and needs.

[0121] "Means for providing" refers to the method or technology for displaying, audibly transmitting, or notifying the user of the generated support information.

[0122] This invention is a system that uses voice input to provide support tailored to the individual needs and emotional state of users who are busy balancing work and childcare. The system of the present invention is realized by linking a user terminal and a server. The details of this system are described below.

[0123] System configuration

[0124] User registration and character selection

[0125] 1. The user installs the application and enters their name, email address, childcare and work status on the registration screen, which collects basic information about the user.

[0126] 2. The device validates the registration information entered by the user in real time and sends it to the server. The server stores the received information in a database and sends the character selection screen data to the device.

[0127] 3. The user selects a character from the list and enters customization information (color, clothing, etc.). The device sends this information to the server, which stores the character information in a database.

[0128] Providing daily support

[0129] 1. The user launches the app and speaks out their concerns and condition for the day.

[0130] 2. The device uses voice recognition technology (e.g., Google® Cloud Speech-to-Text) to convert the voice into text data.

[0131] 3. The device sends the converted text data to the server.

[0132] 4. The server passes the received text data to a natural language processing engine (e.g., OpenAI® GPT-3®) to analyze the content. For example, it identifies content such as worries about childcare or work stress.

[0133] 5. The server performs sentiment analysis to assess the user's emotional state (e.g., stressed, relaxed, etc.).

[0134] Generating and providing support information

[0135] 1. The server generates appropriate support information based on the analyzed content and emotional state, such as advice on relaxation techniques or information on nearby support facilities.

[0136] 2. If necessary, the server calls external service APIs (e.g., Google Places API) to obtain related service information, such as information about sick child care facilities or career counseling contact information.

[0137] 3. The server sends the generated support information to the device, which then provides it to the user. The character will offer comforting words and appropriate advice.

[0138] Specific examples

[0139] Example 1: Providing information about childcare facilities for sick children

[0140] 1. The user says, "My child suddenly developed a fever."

[0141] 2. The device converts the speech into text and sends it to the server.

[0142] 3. The server determines that the content is related to "child illness" and retrieves information about sick child care facilities from an external API.

[0143] 4. The server sends the relevant information to the terminal, which then displays to the user, "Here are the nearest sick child care facilities."

[0144] Example 2: Career planning consultation

[0145] 1. A user says, "I want to go back to work, but I'm nervous."

[0146] 2. The device converts the speech into text and sends it to the server.

[0147] 3. The server analyzes the text, determines that the concern is about a career, and generates contact information and counseling information for a career counselor.

[0148] 4. The server sends the information to the terminal, which then displays to the user, "Would you like to speak to an expert?"

[0149] In this way, users can communicate their concerns about childcare or work through voice input and quickly receive appropriate support information, thereby improving their quality of life.

[0150] Example of a created prompt

[0151] When a user requests information about sick child care facilities: "My child has suddenly developed a fever and I'm looking for sick child care. Can you tell me where I can find a facility nearby?"

[0152] If a user is seeking career counseling: "I'm thinking about going back to work, but I'm nervous. Can you tell me about career counseling services?"

[0153] The flow of the identification process in the first embodiment will be described with reference to FIG.

[0154] Step 1:

[0155] A user installs the application and enters their name, email address, and childcare and work status on the registration screen. For example, the name and email address are entered in text boxes, and childcare and work status are selected using check boxes and drop-down menus. This allows the user's basic information to be collected.

[0156] Input: User's name, email address, childcare and work status

[0157] Output: Registration information

[0158] Step 2:

[0159] The device validates the registration information entered in real time and sends it to the server if it is entered correctly. For example, it checks whether the email address format is correct and whether all required fields have been entered.

[0160] Input: Registration information

[0161] Output: Validated registration information (if correct)

[0162] Step 3:

[0163] The server saves the received registration information in the database and sends the character selection screen data to the terminal. Specifically, it saves the registration information in the database using an INSERT statement, retrieves the character selection data using a SELECT statement, and sends it to the terminal.

[0164] Input: Validated registration information

[0165] Output: Character selection screen data

[0166] Step 4:

[0167] The user selects their favorite character on the character selection screen and enters customization information (color, clothing, etc.). A list of character images is displayed, and the user can select by tapping or clicking, and customize by specifying the color and clothing.

[0168] Input: Character selection screen data

[0169] Output: Character selection and customization information

[0170] Step 5:

[0171] The device sends character customization information to the server. The customization information is then sent to the server via a POST request.

[0172] Input: Character selection and customization information

[0173] Output: Send customization information to the server

[0174] Step 6:

[0175] The server saves the received customization information in the database and returns a notification of user registration completion to the terminal. The server saves the customization information in the database using an INSERT statement and sends a response of registration completion to the terminal.

[0176] Input: Customization information

[0177] Output: User registration completion notification

[0178] Step 7:

[0179] The user starts the app and speaks about their worries and condition. The user then presses the microphone button to record the voice.

[0180] Input: User voice input

[0181] Output: Audio data

[0182] Step 8:

[0183] The device uses speech recognition technology to convert speech into text data, for example, by calling the Google Cloud Speech-to-Text API.

[0184] Input: Audio data

[0185] Output: Text data

[0186] Step 9:

[0187] The terminal sends the converted text data to the server. The text data is sent to the server via a POST request.

[0188] Input: Text data

[0189] Output: Sends text data to the server

[0190] Step 10:

[0191] The server passes the received text data to a natural language processing engine for content analysis. For example, it calls the OpenAI GPT-3 API to analyze the text data and identify content such as parenting worries or work stress.

[0192] Input: Text data

[0193] Output: Parsed text data

[0194] Step 11:

[0195] The server performs sentiment analysis and evaluates the user's emotional state. Based on the analyzed text data, it calls a sentiment analysis API (e.g., Amazon Comprehend) and evaluates the user's emotional state (e.g., high stress, relaxed).

[0196] Input: Parsed text data

[0197] Output: Emotional state rating

[0198] Step 12:

[0199] The server generates appropriate support information based on the analysis data and the user's emotional state. For example, it generates information on nearby support facilities and advice on relaxation techniques based on the analysis data and the results of the emotional assessment.

[0200] Input: Analysis data, emotional state assessment

[0201] Output: Supporting information

[0202] Step 13:

[0203] The server calls external service APIs to obtain relevant service information, such as contact information for sick child care facilities or career counseling services, using the Google Places API as needed.

[0204] Input: User needs

[0205] Output: External service information

[0206] Step 14:

[0207] The server sends the generated support information to the device, which then provides it to the user. The device then sends the support information via push notification or screen display, and the character conveys the generated support information via voice or text.

[0208] Input: Support Information

[0209] Output: Providing support information to the user

[0210] This allows users to reduce stress related to childcare or work and receive prompt and appropriate support information.

[0211] (Application example 1)

[0212] 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."

[0213] In modern society, while Internet usage is increasing, the risk of Internet fraud and phishing scams is also increasing. Therefore, there is a need for a system that can quickly and accurately determine the risk of fraud and provide appropriate countermeasures so that users can use the Internet safely. However, current technology is limited in its ability to individually analyze users' emotional state and needs, and to provide support in dealing with the risk of Internet fraud. This presents a challenge in that it is difficult for users to receive appropriate support when they encounter the risk of fraud.

[0214] 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.

[0215] In this invention, the server includes means for converting information input by the user in voice format into text data, means for analyzing the text data using natural language processing to identify the user's emotional state and needs, means for generating appropriate support information based on the identified emotional state and needs, means for determining the possibility of Internet fraud or phishing fraud, and means for generating and providing specific countermeasures to the user if there is a possibility of fraud. This enables the user to quickly and accurately determine the risk of Internet fraud and take appropriate countermeasures.

[0216] "Information input in the form of voice" refers to voice data uttered by a user using a voice input device such as a microphone.

[0217] "Text data" refers to data obtained by converting information input in voice format into text format.

[0218] "Natural language processing" is a technology that analyzes text data into a format that machines can understand and identifies meaning and emotion.

[0219] "Emotional state" is information that indicates the type and strength of the emotion that the user is currently feeling.

[0220] "Needs" are the information or support that a user is looking for.

[0221] "Support information" is information that is useful to the user and is generated based on the analyzed emotional state and needs.

[0222] "Internet fraud" refers to all fraudulent activities that take place over the Internet.

[0223] "Phishing" is a type of internet fraud that aims to fraudulently obtain users' personal information.

[0224] "Specific measures" are information that indicates actions and steps that users should take to prevent becoming victims of Internet fraud and phishing scams.

[0225] This invention is a system that assesses the risk of Internet fraud and phishing scams and provides appropriate countermeasures to users. In a specific embodiment of the system, a user, a terminal, and a server work together. The details are described below.

[0226] System Configuration

[0227] 1. User registration and basic settings

[0228] First, users install the application and enter basic information such as their name, email address, and internet usage status. This information is sent to the server via the device and stored in a database.

[0229] 2. Voice Input and Recognition

[0230] The user gives a voice input such as "Is this website safe?" The device uses a microphone to capture the voice data and converts this voice data into text data using voice recognition software (e.g., the speech_recognition library).

[0231] 3. Emotion and Needs Analysis

[0232] The device sends the converted text data to the server, which analyzes it using a natural language processing engine (e.g., the TextBlob library) to identify the user's emotional state and needs.

[0233] 4. Security Assessment

[0234] The server evaluates the likelihood of internet fraud or phishing based on the text data, querying an external fraud database API to perform risk assessment.

[0235] 5. Supporting Information Generation

[0236] The server generates appropriate support information based on the emotional state and the security assessment results. If there is a possibility of fraud, it creates support information including specific countermeasures.

[0237] 6. Providing Support Information

[0238] The generated support information is sent from the server to the device, which then provides it to the user. For example, if there is a possibility of fraud, a message such as "Warning: This content may be fraudulent. Please consider the following measures" will be displayed.

[0239] Hardware and software used

[0240] Microphone: A device used to capture the user's voice.

[0241] Speech recognition software: Uses the speech_recognition library.

[0242] Natural Language Processing Engine: Uses the TextBlob library.

[0243] External API: API for internet fraud database.

[0244] Specific examples

[0245] As a concrete example, consider the case where a user asks, "Is this website safe?" In this case, the speech is converted into text, the server analyzes the text, and performs a security assessment of the website using an external API. Based on the assessment results, if there is a risk of fraud, specific countermeasures are generated as supporting information, and the device notifies the user.

[0246] Prompt Sentence Examples

[0247] "Is it okay to click this link?"

[0248] The above is a specific embodiment for carrying out the present invention. This system makes it possible to quickly and accurately determine the risk of Internet fraud and provide users with appropriate countermeasures.

[0249] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[0250] Step 1:

[0251] The user launches the application and asks verbally, "Is this website safe?"

[0252] Input: User's voice data.

[0253] Output: The captured audio data.

[0254] Specific behavior: The user uses a microphone to provide voice input.

[0255] Step 2:

[0256] The device uses speech recognition software (speech_recognition library) to convert the voice data into text data.

[0257] Input: The audio data obtained in step 1.

[0258] Output: The converted text data.

[0259] Specific operation: The device converts audio captured by the microphone into text using the Google Speech Recognition API.

[0260] Step 3:

[0261] The terminal transmits the text data to the server.

[0262] Input: The text data generated in step 2.

[0263] Output: The text data sent to the server.

[0264] Specific operation: The device sends text data to the server via an HTTP request.

[0265] Step 4:

[0266] The server analyzes the text data using a natural language processing engine (TextBlob library) to identify the user's emotional state and needs.

[0267] Input: The text data sent to the server in step 3.

[0268] Output: Identified emotional states and needs.

[0269] Specific operation: The server uses the TextBlob library to perform sentiment analysis and needs analysis of text data.

[0270] Step 5:

[0271] The server calls the fraud database API to assess the likelihood of internet fraud or phishing based on the text data.

[0272] Input: Text data containing the needs identified in step 4.

[0273] Output: Fraud risk assessment results.

[0274] Specific operation: The server sends the text data to the fraud database API and obtains a risk assessment.

[0275] Step 6:

[0276] The server generates appropriate support information based on the emotional state and the security evaluation results.

[0277] Input: Risk assessment results obtained in step 5 and emotional states and needs identified in step 4.

[0278] Output: The generated supporting information.

[0279] Specific behavior: The server creates support information based on the risk assessment results and the user's emotional state and needs.

[0280] Step 7:

[0281] The server transmits the generated support information to the terminal, which then provides it to the user.

[0282] Input: The supporting information generated in step 6.

[0283] Output: Support information provided to the user.

[0284] Specific operation: The server sends support information to the terminal in an HTTP response, and the terminal displays or audibly conveys it to the user.

[0285] The above are the specific processing steps and their contents of this system.

[0286] 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.

[0287] This invention is a system that uses voice input to provide support tailored to the individual needs and emotional state of busy users who are trying to balance childcare and work. It is particularly notable for its ability to more accurately grasp the user's emotional state by incorporating an emotion engine, allowing it to provide personalized, appropriate support. Below, the program processing of this system is explained in natural language.

[0288] System configuration

[0289] User registration and character selection

[0290] 1. The user installs the application and enters their name, email address, childcare and work status on the registration screen, which collects basic information.

[0291] 2. The device sends the user's registration information to the server. The server stores the received information in a database and sends the character selection screen data to the device.

[0292] 3. The user selects a character from a list and enters customization information (color, clothing, etc.). The device sends this information to the server, which stores the character information in a database.

[0293] Providing daily support

[0294] 1. The user launches the app and speaks out their concerns and condition for the day.

[0295] 2. The device uses voice recognition technology to convert the voice into text data.

[0296] 3. The device sends the converted text data to the server.

[0297] 4. The server passes the received text data to a natural language processing (NLP) engine for content analysis, identifying, for example, concerns about childcare or work stress.

[0298] 5. The server uses the emotion engine to assess the user's emotional state, for example, identifying whether they are stressed or relaxed.

[0299] 6. The server generates appropriate support information based on the analyzed content and emotional state, such as advice on relaxation techniques or information on nearby support facilities.

[0300] 7. If necessary, the server calls external service APIs to obtain relevant service information, such as information on sick child care facilities or contact information for career counseling.

[0301] 8. The server sends the generated support information to the device, which then provides it to the user. The character will offer comforting words or appropriate advice.

[0302] Specific examples

[0303] Example 1: Providing information about childcare facilities for sick children

[0304] 1. The user says, "My child suddenly developed a fever."

[0305] 2. The device converts the speech into text and sends it to the server.

[0306] 3. The server determines that the content is related to "child's illness" and uses the emotion engine to evaluate that the user is feeling anxious.

[0307] 4. The server obtains information about sick child care facilities from the external API and sends the relevant information to the terminal.

[0308] 5. The device will display to the user, "Here are the nearest sick child care facilities," and a character will speak to ease the user's anxiety.

[0309] Example 2: Career planning consultation

[0310] 1. A user says, "I want to go back to work, but I'm nervous."

[0311] 2. The device converts the speech into text and sends it to the server.

[0312] 3. The server analyzes the text and determines that it is a career-related concern. It then uses an emotion engine to assess that the user is feeling anxious.

[0313] 4. The server generates contact information for a career counselor and counseling information and sends it to the terminal.

[0314] 5. The device will ask the user, "Why not talk to an expert?" and a character will deliver a supportive message.

[0315] Effects of implementation

[0316] This system allows users to reduce stress from childcare and work and receive appropriate information and support. A major feature of this system is that it uses an emotion engine to gain a detailed understanding of the user's emotional state and provide more personalized support. This improves the user's quality of life and reduces their mental burden.

[0317] The processing flow will be explained below.

[0318] This invention is a system that uses voice input to provide support tailored to the individual needs and emotional state of busy users who are trying to balance work and childcare. In particular, by combining it with an emotion engine, it is possible to more accurately grasp the user's emotional state and provide appropriate personalized support.

[0319] User registration and character selection

[0320] Step 1:

[0321] Users install the application and enter their name, email address, and childcare and work status on the registration screen, which collects basic information.

[0322] Step 2:

[0323] The device sends the user's registration information to the server. The server stores the received information in a database and sends the character selection screen data to the device.

[0324] Step 3:

[0325] The user selects a character from a list and enters customization information (color, clothing, etc.). The device sends this information to the server, which then stores the character information in a database.

[0326] Providing daily support

[0327] Step 4:

[0328] The user launches the app and speaks out their concerns and condition for the day.

[0329] Step 5:

[0330] The device uses voice recognition technology to convert the voice into text data.

[0331] Step 6:

[0332] The terminal transmits the converted text data to the server.

[0333] Step 7:

[0334] The server passes the received text data to a natural language processing (NLP) engine, which analyzes the content and identifies, for example, concerns about child-rearing or work stress.

[0335] Step 8:

[0336] The server uses an emotion engine to assess the user's emotional state, for example, to identify emotional states such as stressed or relaxed.

[0337] Step 9:

[0338] The server generates appropriate support information based on the analyzed content and emotional state, such as advice on relaxation techniques or information on nearby support facilities.

[0339] Step 10:

[0340] If necessary, the server calls external service APIs to obtain related service information, such as information on sick child care facilities or contact information for career counseling.

[0341] Step 11:

[0342] The server generates support information and sends it to the device, which then provides it to the user. Characters offer comforting words and appropriate advice.

[0343] Specific examples

[0344] Example 1: Providing information about childcare facilities for sick children

[0345] Step 1:

[0346] The user says, "My child suddenly developed a fever."

[0347] Step 2:

[0348] The device converts the speech into text and sends it to the server.

[0349] Step 3:

[0350] The server determines that the content is related to "child's illness" and uses an emotion engine to evaluate that the user is feeling anxious.

[0351] Step 4:

[0352] The server obtains information about sick child care facilities from an external API and sends the relevant information to the terminal.

[0353] Step 5:

[0354] The device will tell the user, "Here are the nearest sick child care facilities," and a character will speak to ease their anxiety.

[0355] Example 2: Career planning consultation

[0356] Step 1:

[0357] A user says, "I want to go back to work, but I'm nervous."

[0358] Step 2:

[0359] The device converts the speech into text and sends it to the server.

[0360] Step 3:

[0361] The server analyzes the text and determines that it is a career concern. It then uses an emotion engine to assess that the user is feeling anxious.

[0362] Step 4:

[0363] The server generates contact information for a career counselor and counseling information and transmits it to the terminal.

[0364] Step 5:

[0365] The device will ask the user, "Why not try talking to an expert?" and a character will deliver a supportive message.

[0366] Effects of implementation

[0367] This system allows users to reduce stress from childcare and work and receive appropriate information and support. A major feature of this system is that it uses an emotion engine to gain a detailed understanding of the user's emotional state and provide more personalized support. This improves the user's quality of life and reduces their mental burden.

[0368] Example 2

[0369] 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."

[0370] In modern society, an increasing number of users are busy balancing work and childcare responsibilities. However, these users are prone to stress and often find it difficult to receive appropriate support. Conventional systems have struggled to provide personalized support by gaining a detailed understanding of users' emotional state and current needs. Furthermore, they lack the functionality to timely obtain and provide information about external services to users. This has led to issues such as a decline in users' quality of life and an increase in their mental burden.

[0371] The specific processing by the specific processing unit 290 of the data processing device 12 in the second embodiment is realized by the following means.

[0372] In this invention, the server includes means for converting information input by the user in voice form into text data, means for analyzing the text data using natural language processing to identify the user's emotional state and needs, and means for generating appropriate support information based on the identified emotional state and needs, thereby enabling the user to quickly receive personalized support according to their own emotional state and needs.

[0373] "Users" refer to people who are trying to balance childcare and work and who use this system to receive support.

[0374] "Terminal" refers to an electronic device used by a user, such as a computer, smartphone, or tablet.

[0375] A "server" refers to a central processing unit that receives a request from a user, processes it, and then returns a response.

[0376] "Text data" refers to data that is the result of voice input converted by voice recognition technology and is expressed in the form of a string of characters.

[0377] "Natural language processing" refers to technology for analyzing text data and understanding its meaning and emotional state.

[0378] "Emotional state" refers to the type and intensity of the emotion the user is feeling, and represents states such as stress, anxiety, happiness, etc.

[0379] "Needs" refers to the user's current requirements and the support they require.

[0380] "Support information" refers to advice and information generated based on the user's emotional state and needs.

[0381] "Character" refers to a virtual person or animal within the system that can be selected and customized by the user.

[0382] "Customization information" refers to data that a user inputs when customizing a character's appearance, clothing, etc.

[0383] "External service information" refers to information about related services and facilities that the system obtains through external APIs.

[0384] This invention is a system that uses voice input to provide support tailored to the individual needs and emotional state of users who are busy balancing work and childcare. The system is mainly composed of three elements: a server, a terminal, and a user.

[0385] First, the user installs the application on their device. When the application is launched for the first time, a registration screen appears, and the user enters basic information such as their name, email address, and childcare and work status. This creates a user profile. The device sends the entered information to the server, which stores the information in a database. Next, the user selects their preferred character on the character selection screen and enters customization information. This customization information is also sent from the device to the server and stored in the database.

[0386] Daily support begins when the user launches the app and speaks to describe their concerns or condition. Specifically, they speak prompts such as "I'm feeling stressed at work" or "My child has suddenly developed a fever." The device converts the speech into text using voice recognition software such as Google Cloud Speech-to-Text or IBM Watson® Speech to Text. The converted text is then sent from the device to a server.

[0387] The server passes the received text data to a natural language processing (NLP) engine (for example, Python's NLTK library or spaCy) for analysis. The purpose of the analysis is to identify the user's concerns and state from the text data. Next, an emotion engine (such as Microsoft® Azure® Text Analytics or Amazon Comprehend) is used to evaluate the user's emotional state. For example, emotions such as "high stress" or "anxiety" are identified.

[0388] Based on the analysis results and the user's emotional state, the server generates appropriate support information. For example, it may provide advice on stress relief or information on nearby relaxation facilities. If necessary, it may call external service APIs (such as the Google Places API or the LinkedIn (registered trademark) API) to obtain related service information. This obtained information also becomes part of the support information provided to the user.

[0389] Finally, the server sends the generated support information to the device, which then provides it to the user. The method of providing the information includes via a designated character. For example, the character guides the user by saying soothing words, such as, "Here is the nearest sick child care facility."

[0390] This system allows users to easily communicate their concerns and state of mind using only voice input, and receive appropriate support based on their emotional state. The combination of the emotion engine and external APIs enables personalized support tailored to the individual needs of users, reducing stress in childcare and work.

[0391] Prompt Sentence Examples

[0392] "I'm under a lot of stress from work"

[0393] "My child suddenly developed a fever"

[0394] The flow of the identification process in the second embodiment will be described with reference to FIG.

[0395] Program processing flow

[0396] Step 1:

[0397] A user installs the application and enters their name, email address, parental and work status into a registration screen. This information is the basic data that forms the user's profile.

[0398] Input: User's name, email address, childcare and work status

[0399] Data processing / calculation: Formatting input information and converting it into a form that can be communicated

[0400] Output: Formatted user information

[0401] Step 2:

[0402] The device sends the user information entered on the registration screen to the server using an HTTP POST request.

[0403] Input: Formatted user information

[0404] Data processing / calculation: Include user information in HTTP requests

[0405] Output: Request sent to server

[0406] Step 3:

[0407] The server stores the received user information in a database, which can be managed using a database management system such as MySQL (registered trademark) or PostgreSQL.

[0408] Input: User information sent to the server

[0409] Data processing / calculation: User information is inserted into the database as an SQL query

[0410] Output: User information stored in the database

[0411] Step 4:

[0412] The server sends the character selection screen data to the device, including the character list.

[0413] Input: Character information in the database

[0414] Data processing / calculation: Convert character information into JSON format

[0415] Output: Sending character selection screen data to the device

[0416] Step 5:

[0417] The user selects a character of their choice on the character selection screen and enters customization information. They select "Mike the Cat," set the color to "pink," and set the outfit to "dress with ribbon."

[0418] Input: User's character selection and customization information

[0419] Data Processing / Calculation: Select and customize information format

[0420] Output: Formatted character information

[0421] Step 6:

[0422] The device sends the character information to the server, again using an HTTP POST request.

[0423] Input: Formatted character information

[0424] Data processing / calculation: Include character information in HTTP requests

[0425] Output: Request sent to server

[0426] Step 7:

[0427] The server stores the received character information in a database.

[0428] Input: Character information sent to the server

[0429] Data processing / calculation: Insert character information into the database as an SQL query

[0430] Output: Character information stored in the database

[0431] Providing daily support

[0432] Step 1:

[0433] The user launches the app and speaks, "I'm feeling stressed at work."

[0434] Input: User's voice prompt

[0435] Output: Audio data

[0436] Step 2:

[0437] The device uses voice recognition software (e.g., Google Cloud Speech-to-Text) to convert the voice data into text data.

[0438] Input: Audio data

[0439] Data processing / computation: Analysis of voice data and conversion to text

[0440] Output: Text data "I'm stressed out at work"

[0441] Step 3:

[0442] The terminal sends the converted text data to the server using an HTTP POST request.

[0443] Input: Text data

[0444] Data processing / calculation: Include text data in the HTTP request

[0445] Output: Request sent to server

[0446] Step 4:

[0447] The server passes the received text data to a natural language processing engine (such as spaCy) for analysis, and extracts keywords such as "work" and "stress" from the text data.

[0448] Input: Text data

[0449] Data processing / calculation: Keyword extraction and content analysis

[0450] Output: Analysis results (e.g., "Work" and "Stress")

[0451] Step 5:

[0452] The server uses an emotion engine (e.g., Microsoft Azure Text Analytics) to assess the user's emotional state and quantify their stress level.

[0453] Input: Analysis results

[0454] Data processing / computation: Emotion analysis and stress level assessment

[0455] Output: Emotional state (e.g. high stress level)

[0456] Step 6:

[0457] The server generates appropriate support information, for example, advice on stress relief and information on relaxation facilities.

[0458] Input: Emotional state and analysis results

[0459] Data processing / calculation: generating supporting information and calling external APIs

[0460] Output: Generated support information (e.g., relaxation methods)

[0461] Step 7:

[0462] The server transmits the generated support information to the terminal.

[0463] Input: Generated support information

[0464] Data processing / calculation: formatting information and preparing it for transmission

[0465] Output: Send support information to the device

[0466] Step 8:

[0467] The device provides support information to the user, with characters displaying messages such as "Take a deep breath" and providing information on relaxation facilities.

[0468] Input: Support Information

[0469] Data processing / calculation: Information display and character animation control

[0470] Output: Provide information to the user

[0471] (Application example 2)

[0472] 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."

[0473] There is a need for ways to reduce the stress and anxiety experienced by employees who are raising children while balancing work and childcare. Particularly in workplaces such as retail, there are limited ways to receive appropriate support and advice immediately, which can have a negative impact on employees' mental and physical health and work efficiency. This issue can be resolved by utilizing voice input and emotion recognition to quickly provide support information tailored to individual needs.

[0474] The identification process by the identification processing unit 290 of the data processing device 12 in Application Example 2 is realized by the following means. In this invention, the server includes means for converting information input in voice format by the user into text data, means for analyzing the text data using natural language processing and identifying the user's emotional state and needs, and means for generating appropriate support information based on the identified emotional state and needs. This enables store employees to receive appropriate support through voice input and emotion recognition using their smart devices.

[0475] "User" includes store employees and customers who use the system.

[0476] "Voice format" refers to the audio signals that a user uses to speak to the system.

[0477] "Text data" refers to data in which information input in voice format is expressed as a string of characters.

[0478] "Natural language processing" is a technology that allows computers to understand and analyze human language.

[0479] "Emotional state" refers to the user's current psychological state, and includes, for example, stress or relaxation.

[0480] "Needs" refers to the user's current requests for support or information.

[0481] "Support information" is advice or information that is generated based on the user's emotional state and needs.

[0482] "Smart device" refers to a portable electronic device that can connect to the Internet, such as a smartphone or smart glasses.

[0483] "Store employees" refers to staff and clerks working at a particular store.

[0484] The present invention provides a support system based on voice input and emotion recognition for reducing stress and anxiety experienced by employees who are raising children while balancing work and childcare. An embodiment of the system will be described in detail below.

[0485] System configuration

[0486] User registration and profile settings

[0487] First, a store employee (hereinafter referred to as "user") installs the application on their smart device and enters basic information, including their name, email address, and childcare and work status. Next, the user selects a character offered within the application and sets customization information (such as color and clothing). All registration and customization information is sent to the server and stored in a database.

[0488] Providing daily support

[0489] 1. The user launches the application and speaks about their concerns and condition in voice form. This voice input is done through the microphone of the smart device.

[0490] 2. The device uses speech recognition technology (for example, Google Cloud Speech-to-Text API) to convert the speech into text data.

[0491] 3. The converted text data is sent to the server, where a natural language processing engine (e.g., SpaCy) analyzes the text.

[0492] 4. The server uses an emotion engine (e.g., IBM Watson Tone Analyzer) to assess the user's emotional state and identify whether they are stressed or relaxed.

[0493] 5. The server generates appropriate support information based on the analyzed content and emotional state. If necessary, it can also obtain additional information from external service APIs.

[0494] 6. Finally, the generated support information is sent to the terminal and provided to the user through the character.

[0495] Hardware and software used

[0496] Speech Recognition Software: Google Cloud Speech-to-Text API is used to accurately convert user voice input into text data.

[0497] Natural language processing engine: SpaCy is used to analyze text data and identify user concerns and questions.

[0498] Emotion engine: IBM Watson Tone Analyzer is used to assess the user's emotional state and tailor the support information provided.

[0499] Database: Firebase Realtime Database stores user registration information and character information.

[0500] Specific examples

[0501] Example 1: Stress management

[0502] 1. A user says, "I'm feeling stressed at work. Please tell me how to relax."

[0503] 2. The device converts the speech into text and sends it to the server.

[0504] 3. The server analyzes the text and evaluates it as stress-related and high stress using the emotion engine.

[0505] 4. The server generates stress management advice, such as "Take a deep breath and relax."

[0506] 5. The device conveys advice to the user through the character.

[0507] Prompt Sentence Examples

[0508] "I'm feeling stressed at work. Tell me how to relax."

[0509] "My child is unwell. Can you give me information about support facilities?"

[0510] In this way, users can effectively manage the stress of childcare and work and enjoy a higher quality of life.

[0511] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[0512] Step 1:

[0513] A user installs the application on their smart device and enters basic information, including their name, email address, and childcare and work status. This creates a basic user profile. They then select a customized character and configure settings such as color and clothing. This information is sent from the device to the server and stored in the Firebase Realtime Database.

[0514] Step 2:

[0515] The user launches the application and speaks about their concerns and state of mind. Voice input is performed through the smart device's microphone. The voice is input in audio format, which activates the device's voice recognition software. The voice recognition software used is the Google Cloud Speech-to-Text API, which converts the voice data into text data.

[0516] Input: User's voice

[0517] Output: Text data

[0518] Step 3:

[0519] The device sends the converted text data to the server. The server then passes the received text data to a natural language processing engine (SpaCy) for content analysis. Natural language processing extracts important information and keywords from the text data and classifies them into specific contexts.

[0520] Input: Text data

[0521] Output: Parsed text data (including keywords and needs)

[0522] Step 4:

[0523] The server passes the parsed text data to an emotion engine (IBM Watson Tone Analyzer) to evaluate the user's emotions, for example, to determine whether the user is stressed or relaxed. In this process, the emotional tone of the text data is analyzed and a result is generated.

[0524] Input: Parsed text data

[0525] Output: Emotional state (stressed, high stress, relaxed, etc.)

[0526] Step 5:

[0527] The server generates appropriate support information based on the analyzed content and emotional state. For example, it provides relaxation advice to a user experiencing high stress, and information on nearby support facilities to a user with childcare concerns. If necessary, it obtains additional information from external service APIs (e.g., a childcare service information provider API).

[0528] Input: Parsed content, emotional state

[0529] Output: Supporting information

[0530] Step 6:

[0531] The server sends the generated support information to the device. The device then provides the received support information to the user, and the character displays an appropriate message. There is also a function to provide voice advice as needed. This allows users to receive support based on their individual needs.

[0532] Input: Support Information

[0533] Output: Visual and audio advice

[0534] In this way, users can effectively manage their daily stress and worries and receive support in balancing work and childcare responsibilities.

[0535] 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.

[0536] The data generation model 58 is a so-called generative AI (Artificial Intelligence). An example of the data generation model 58 is ChatGPT (registered trademark) (Internet search engine).<URL: https: / / openai.com / blog / chatgpt> ), Gemini (registered trademark) (Internet search <url: https: gemini.google.com ?hl="ja">) and other generation AIs. The data generation model 58 is obtained by performing deep learning on a neural network. A prompt including an instruction is input to the data generation model 58, and inference data such as voice data indicating voice, text data indicating text, and image data indicating an image is also input. The data generation model 58 performs inference on the input inference data in accordance with the instruction indicated by the prompt, and outputs the inference result in a data format such as voice data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization.

[0537] 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.

[0538] [Second embodiment]

[0539] FIG. 3 shows an example of the configuration of a data processing system 210 according to the second embodiment.

[0540] 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.

[0541] 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).

[0542] 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.

[0543] 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.

[0544] 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).

[0545] 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.

[0546] 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.

[0547] 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.

[0548] 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.

[0549] 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.

[0550] 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."

[0551] This invention is a system that uses voice input to provide support tailored to the individual needs and emotional state of users who are busy balancing work and childcare. Below, the program processing of this system will be explained in natural language.

[0552] System configuration

[0553] User registration and character selection

[0554] 1. The user installs the application and enters their name, email address, childcare and work status on the registration screen, which collects basic information about the user.

[0555] 2. The device sends the user's registration information to the server. The server stores the received information in a database and sends the character selection screen data to the device.

[0556] 3. The user selects a character from a list and enters customization information (color, clothing, etc.). The device sends this information to the server, which stores the character information in a database.

[0557] Providing daily support

[0558] 1. The user launches the app and speaks out their concerns and condition for the day.

[0559] 2. The device uses voice recognition technology to convert the voice into text data.

[0560] 3. The device sends the converted text data to the server.

[0561] 4. The server passes the received text data to a natural language processing engine for content analysis, identifying, for example, concerns about child-rearing or work stress.

[0562] 5. The server performs sentiment analysis to assess the user's emotional state (e.g., stressed, relaxed, etc.).

[0563] Generating and providing support information

[0564] 1. The server generates appropriate support information based on the analyzed content and emotional state, such as advice on relaxation techniques or information on nearby support facilities.

[0565] 2. If necessary, the server calls external service APIs to obtain relevant service information, such as information on sick child care facilities or contact information for career counseling.

[0566] 3. The server generates support information and sends it to the device, which then provides it to the user. The character then offers comforting words and appropriate advice.

[0567] Specific examples

[0568] Example 1: Providing information about childcare facilities for sick children

[0569] 1. The user says, "My child suddenly developed a fever."

[0570] 2. The device converts the speech into text and sends it to the server.

[0571] 3. The server determines that the content is related to "child illness" and retrieves information about sick child care facilities from an external API.

[0572] 4. The server sends the relevant information to the terminal, and the terminal displays to the user, "Here are the nearest sick child care facilities."

[0573] Example 2: Career planning consultation

[0574] 1. A user says, "I want to go back to work, but I'm nervous."

[0575] 2. The device converts the speech into text and sends it to the server.

[0576] 3. The server analyzes the text, determines that the concern is about a career, and generates contact information and counseling information for a career counselor.

[0577] 4. The server sends the information to the device, which then displays the message to the user: "Would you like to speak to an expert?"

[0578] Effects of implementation

[0579] This system allows users to reduce stress from childcare and work and receive appropriate information and support, thereby improving the user's quality of life and reducing the mental burden.

[0580] The processing flow will be explained below.

[0581] Step 1:

[0582] Users install the application and enter their name, email address, and childcare and work status on the registration screen, which collects basic information.

[0583] Step 2:

[0584] The device sends the user's registration information to the server. The server stores the received information in a database and sends the character selection screen data to the device.

[0585] Step 3:

[0586] The user selects a character from a list and enters customization information (color, clothing, etc.). The device sends this information to the server, which then stores the character information in a database.

[0587] Step 4:

[0588] The user launches the app and speaks about their concerns and condition for the day. The device uses voice recognition technology to convert the speech into text data.

[0589] Step 5:

[0590] The terminal transmits the converted text data to the server.

[0591] Step 6:

[0592] The server passes the received text data to a natural language processing (NLP) engine, which analyzes the content and identifies, for example, concerns about child-rearing or work stress.

[0593] Step 7:

[0594] The server performs sentiment analysis to assess the user's emotional state (e.g., stressed, relaxed, etc.).

[0595] Step 8:

[0596] The server generates appropriate support information based on the analyzed content and emotional state, such as advice on relaxation techniques or information on nearby support facilities.

[0597] Step 9:

[0598] If necessary, the server calls external service APIs to obtain related service information, such as information on sick child care facilities or contact information for career counseling.

[0599] Step 10:

[0600] The server generates support information and sends it to the device, which then provides it to the user. Characters offer comforting words and appropriate advice.

[0601] Specific examples

[0602] Example 1: Providing information about childcare facilities for sick children

[0603] Step 1:

[0604] The user says, "My child suddenly developed a fever."

[0605] Step 2:

[0606] The device converts the speech into text and sends it to the server.

[0607] Step 3:

[0608] The server determines that the content is related to "child illness" and retrieves information about sick child care facilities from an external API.

[0609] Step 4:

[0610] The server sends the relevant information to the terminal, and the terminal displays to the user, "Here are the nearest sick child care facilities."

[0611] Example 2: Career planning consultation

[0612] Step 1:

[0613] A user says, "I want to go back to work, but I'm nervous."

[0614] Step 2:

[0615] The device converts the speech into text and sends it to the server.

[0616] Step 3:

[0617] The server analyzes the text, determines that the concern is about a career, and generates contact information and counseling information for a career counselor.

[0618] Step 4:

[0619] The server sends the information to the terminal, which then displays to the user, "Why not talk to an expert?"

[0620] Example 1

[0621] 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."

[0622] Today's busy users face various stresses and difficulties when balancing work and childcare. Sudden childcare issues and anxiety about returning to work can be particularly stressful. Furthermore, it can be difficult to quickly obtain appropriate advice and support information. To effectively address these issues and improve users' quality of life, a system that uses voice input to provide appropriate support tailored to the user's needs and emotional state is needed.

[0623] 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.

[0624] In this invention, the server includes means for converting information input by the user in voice form into text data, means for analyzing the text data using natural language processing to identify the user's emotional state and needs, means for generating appropriate support information based on the identified emotional state and needs, means for providing the generated support information to the user, means for saving and managing customization information related to a character selected by the user, and means for saving user registration information and character information in a database, thereby enabling users to reduce stress related to childcare or work and receive prompt and appropriate support information.

[0625] "Information input in the form of voice" refers to voice data uttered by a user via a voice input device such as a microphone.

[0626] "Means for converting into text data" refers to speech recognition technology or software for converting voice data into character string information.

[0627] "Natural language processing" is a general term for technologies and methods that allow computers to understand, interpret, and generate human language.

[0628] "Emotional state" refers to the psychological state (e.g., stress, relaxation, anxiety, etc.) analyzed from the words and voices of the user.

[0629] "Needs" is a term that refers to user requests and the services, information, support, etc. that are required.

[0630] "Support information" refers to advice and information provided based on the user's needs and emotional state.

[0631] "Character" means a virtual person, animal, or other graphical entity that a user can select and customize within an Application.

[0632] "Customization information" refers to setting information related to the appearance (color, clothing, etc.) of the character selected by the user.

[0633] A "database" refers to a system with a logical data structure for efficiently storing, searching, and updating large amounts of data.

[0634] "Means for generating" refers to the process or system for constructing, processing, and outputting appropriate support information based on the user's emotional state and needs.

[0635] "Means for providing" refers to the method or technology for displaying, audibly transmitting, or notifying the user of the generated support information.

[0636] This invention is a system that uses voice input to provide support tailored to the individual needs and emotional state of users who are busy balancing work and childcare. The system of the present invention is realized by linking a user terminal and a server. The details of this system are described below.

[0637] System configuration

[0638] User registration and character selection

[0639] 1. The user installs the application and enters their name, email address, childcare and work status on the registration screen, which collects basic information about the user.

[0640] 2. The device validates the registration information entered by the user in real time and sends it to the server. The server stores the received information in a database and sends the character selection screen data to the device.

[0641] 3. The user selects a character from the list and enters customization information (color, clothing, etc.). The device sends this information to the server, which stores the character information in a database.

[0642] Providing daily support

[0643] 1. The user launches the app and speaks out their concerns and condition for the day.

[0644] 2. The device uses voice recognition technology (e.g., Google Cloud Speech-to-Text) to convert the voice into text data.

[0645] 3. The device sends the converted text data to the server.

[0646] 4. The server passes the received text data to a natural language processing engine (e.g., OpenAI GPT-3) to analyze the content. For example, it identifies content such as worries about childcare or work stress.

[0647] 5. The server performs sentiment analysis to assess the user's emotional state (e.g., stressed, relaxed, etc.).

[0648] Generating and providing support information

[0649] 1. The server generates appropriate support information based on the analyzed content and emotional state, such as advice on relaxation techniques or information on nearby support facilities.

[0650] 2. If necessary, the server calls external service APIs (e.g., Google Places API) to obtain related service information, such as information about sick child care facilities or career counseling contact information.

[0651] 3. The server sends the generated support information to the device, which then provides it to the user. The character will offer comforting words and appropriate advice.

[0652] Specific examples

[0653] Example 1: Providing information about childcare facilities for sick children

[0654] 1. The user says, "My child suddenly developed a fever."

[0655] 2. The device converts the speech into text and sends it to the server.

[0656] 3. The server determines that the content is related to "child illness" and retrieves information about sick child care facilities from an external API.

[0657] 4. The server sends the relevant information to the terminal, which then displays to the user, "Here are the nearest sick child care facilities."

[0658] Example 2: Career planning consultation

[0659] 1. A user says, "I want to go back to work, but I'm nervous."

[0660] 2. The device converts the speech into text and sends it to the server.

[0661] 3. The server analyzes the text, determines that the concern is about a career, and generates contact information and counseling information for a career counselor.

[0662] 4. The server sends the information to the terminal, which then displays to the user, "Would you like to speak to an expert?"

[0663] In this way, users can communicate their concerns about childcare or work through voice input and quickly receive appropriate support information, thereby improving their quality of life.

[0664] Example of a created prompt

[0665] When a user requests information about sick child care facilities: "My child has suddenly developed a fever and I'm looking for sick child care. Can you tell me where I can find a facility nearby?"

[0666] If a user is seeking career counseling: "I'm thinking about going back to work, but I'm nervous. Can you tell me about career counseling services?"

[0667] The flow of the identification process in the first embodiment will be described with reference to FIG.

[0668] Step 1:

[0669] A user installs the application and enters their name, email address, and childcare and work status on the registration screen. For example, the name and email address are entered in text boxes, and childcare and work status are selected using check boxes and drop-down menus. This allows the user's basic information to be collected.

[0670] Input: User's name, email address, childcare and work status

[0671] Output: Registration information

[0672] Step 2:

[0673] The device validates the registration information entered in real time and sends it to the server if it is entered correctly. For example, it checks whether the email address format is correct and whether all required fields have been entered.

[0674] Input: Registration information

[0675] Output: Validated registration information (if correct)

[0676] Step 3:

[0677] The server saves the received registration information in the database and sends the character selection screen data to the terminal. Specifically, it saves the registration information in the database using an INSERT statement, retrieves the character selection data using a SELECT statement, and sends it to the terminal.

[0678] Input: Validated registration information

[0679] Output: Character selection screen data

[0680] Step 4:

[0681] The user selects their favorite character on the character selection screen and enters customization information (color, clothing, etc.). A list of character images is displayed, and the user can select by tapping or clicking, and customize by specifying the color and clothing.

[0682] Input: Character selection screen data

[0683] Output: Character selection and customization information

[0684] Step 5:

[0685] The device sends character customization information to the server. The customization information is then sent to the server via a POST request.

[0686] Input: Character selection and customization information

[0687] Output: Send customization information to the server

[0688] Step 6:

[0689] The server saves the received customization information in the database and returns a notification of user registration completion to the terminal. The server saves the customization information in the database using an INSERT statement and sends a response of registration completion to the terminal.

[0690] Input: Customization information

[0691] Output: User registration completion notification

[0692] Step 7:

[0693] The user starts the app and speaks about their worries and condition. The user then presses the microphone button to record the voice.

[0694] Input: User voice input

[0695] Output: Audio data

[0696] Step 8:

[0697] The device uses speech recognition technology to convert speech into text data, for example, by calling the Google Cloud Speech-to-Text API.

[0698] Input: Audio data

[0699] Output: Text data

[0700] Step 9:

[0701] The terminal sends the converted text data to the server. The text data is sent to the server via a POST request.

[0702] Input: Text data

[0703] Output: Sends text data to the server

[0704] Step 10:

[0705] The server passes the received text data to a natural language processing engine for content analysis. For example, it calls the OpenAI GPT-3 API to analyze the text data and identify content such as parenting worries or work stress.

[0706] Input: Text data

[0707] Output: Parsed text data

[0708] Step 11:

[0709] The server performs sentiment analysis and evaluates the user's emotional state. Based on the analyzed text data, it calls a sentiment analysis API (e.g., Amazon Comprehend) and evaluates the user's emotional state (e.g., high stress, relaxed).

[0710] Input: Parsed text data

[0711] Output: Emotional state rating

[0712] Step 12:

[0713] The server generates appropriate support information based on the analysis data and the user's emotional state. For example, it generates information on nearby support facilities and advice on relaxation techniques based on the analysis data and the results of the emotional assessment.

[0714] Input: Analysis data, emotional state assessment

[0715] Output: Supporting information

[0716] Step 13:

[0717] The server calls external service APIs to obtain relevant service information, such as contact information for sick child care facilities or career counseling services, using the Google Places API as needed.

[0718] Input: User needs

[0719] Output: External service information

[0720] Step 14:

[0721] The server sends the generated support information to the device, which then provides it to the user. The device then sends the support information via push notification or screen display, and the character conveys the generated support information via voice or text.

[0722] Input: Support Information

[0723] Output: Providing support information to the user

[0724] This allows users to reduce stress related to childcare or work and receive prompt and appropriate support information.

[0725] (Application example 1)

[0726] 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."

[0727] In modern society, while Internet usage is increasing, the risk of Internet fraud and phishing scams is also increasing. Therefore, there is a need for a system that can quickly and accurately determine the risk of fraud and provide appropriate countermeasures so that users can use the Internet safely. However, current technology is limited in its ability to individually analyze users' emotional state and needs, and to provide support in dealing with the risk of Internet fraud. This presents a challenge in that it is difficult for users to receive appropriate support when they encounter the risk of fraud.

[0728] 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.

[0729] In this invention, the server includes means for converting information input by the user in voice format into text data, means for analyzing the text data using natural language processing to identify the user's emotional state and needs, means for generating appropriate support information based on the identified emotional state and needs, means for determining the possibility of Internet fraud or phishing fraud, and means for generating and providing specific countermeasures to the user if there is a possibility of fraud. This enables the user to quickly and accurately determine the risk of Internet fraud and take appropriate countermeasures.

[0730] "Information input in the form of voice" refers to voice data uttered by a user using a voice input device such as a microphone.

[0731] "Text data" refers to data obtained by converting information input in voice format into text format.

[0732] "Natural language processing" is a technology that analyzes text data into a format that machines can understand and identifies meaning and emotion.

[0733] "Emotional state" is information that indicates the type and strength of the emotion that the user is currently feeling.

[0734] "Needs" are the information or support that a user is looking for.

[0735] "Support information" is information that is useful to the user and is generated based on the analyzed emotional state and needs.

[0736] "Internet fraud" refers to all fraudulent activities that take place over the Internet.

[0737] "Phishing" is a type of internet fraud that aims to fraudulently obtain users' personal information.

[0738] "Specific measures" are information that indicates actions and steps that users should take to prevent becoming victims of Internet fraud and phishing scams.

[0739] This invention is a system that assesses the risk of Internet fraud and phishing scams and provides appropriate countermeasures to users. In a specific embodiment of the system, a user, a terminal, and a server work together. The details are described below.

[0740] System Configuration

[0741] 1. User registration and basic settings

[0742] First, users install the application and enter basic information such as their name, email address, and internet usage status. This information is sent to the server via the device and stored in a database.

[0743] 2. Voice Input and Recognition

[0744] The user gives a voice input such as "Is this website safe?" The device uses a microphone to capture the voice data and converts this voice data into text data using voice recognition software (e.g., the speech_recognition library).

[0745] 3. Emotion and Needs Analysis

[0746] The device sends the converted text data to the server, which analyzes it using a natural language processing engine (e.g., the TextBlob library) to identify the user's emotional state and needs.

[0747] 4. Security Assessment

[0748] The server evaluates the likelihood of internet fraud or phishing based on the text data, querying an external fraud database API to perform risk assessment.

[0749] 5. Supporting Information Generation

[0750] The server generates appropriate support information based on the emotional state and the security assessment results. If there is a possibility of fraud, it creates support information including specific countermeasures.

[0751] 6. Providing Support Information

[0752] The generated support information is sent from the server to the device, which then provides it to the user. For example, if there is a possibility of fraud, a message such as "Warning: This content may be fraudulent. Please consider the following measures" will be displayed.

[0753] Hardware and software used

[0754] Microphone: A device used to capture the user's voice.

[0755] Speech recognition software: Uses the speech_recognition library.

[0756] Natural Language Processing Engine: Uses the TextBlob library.

[0757] External API: API for internet fraud database.

[0758] Specific examples

[0759] As a concrete example, consider the case where a user asks, "Is this website safe?" In this case, the speech is converted into text, the server analyzes the text, and performs a security assessment of the website using an external API. Based on the assessment results, if there is a risk of fraud, specific countermeasures are generated as supporting information, and the device notifies the user.

[0760] Prompt Sentence Examples

[0761] "Is it okay to click this link?"

[0762] The above is a specific embodiment for carrying out the present invention. This system makes it possible to quickly and accurately determine the risk of Internet fraud and provide users with appropriate countermeasures.

[0763] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[0764] Step 1:

[0765] The user launches the application and asks verbally, "Is this website safe?"

[0766] Input: User's voice data.

[0767] Output: The captured audio data.

[0768] Specific behavior: The user uses a microphone to provide voice input.

[0769] Step 2:

[0770] The device uses speech recognition software (speech_recognition library) to convert the voice data into text data.

[0771] Input: The audio data obtained in step 1.

[0772] Output: The converted text data.

[0773] Specific operation: The device converts audio captured by the microphone into text using the Google Speech Recognition API.

[0774] Step 3:

[0775] The terminal transmits the text data to the server.

[0776] Input: The text data generated in step 2.

[0777] Output: The text data sent to the server.

[0778] Specific operation: The device sends text data to the server via an HTTP request.

[0779] Step 4:

[0780] The server analyzes the text data using a natural language processing engine (TextBlob library) to identify the user's emotional state and needs.

[0781] Input: The text data sent to the server in step 3.

[0782] Output: Identified emotional states and needs.

[0783] Specific operation: The server uses the TextBlob library to perform sentiment analysis and needs analysis of text data.

[0784] Step 5:

[0785] The server calls the fraud database API to assess the likelihood of internet fraud or phishing based on the text data.

[0786] Input: Text data containing the needs identified in step 4.

[0787] Output: Fraud risk assessment results.

[0788] Specific operation: The server sends the text data to the fraud database API and obtains a risk assessment.

[0789] Step 6:

[0790] The server generates appropriate support information based on the emotional state and the security evaluation results.

[0791] Input: Risk assessment results obtained in step 5 and emotional states and needs identified in step 4.

[0792] Output: The generated supporting information.

[0793] Specific behavior: The server creates support information based on the risk assessment results and the user's emotional state and needs.

[0794] Step 7:

[0795] The server transmits the generated support information to the terminal, which then provides it to the user.

[0796] Input: The supporting information generated in step 6.

[0797] Output: Support information provided to the user.

[0798] Specific operation: The server sends support information to the terminal in an HTTP response, and the terminal displays or audibly conveys it to the user.

[0799] The above are the specific processing steps and their contents of this system.

[0800] 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.

[0801] This invention is a system that uses voice input to provide support tailored to the individual needs and emotional state of busy users who are trying to balance childcare and work. It is particularly notable for its ability to more accurately grasp the user's emotional state by incorporating an emotion engine, allowing it to provide personalized, appropriate support. Below, the program processing of this system is explained in natural language.

[0802] System configuration

[0803] User registration and character selection

[0804] 1. The user installs the application and enters their name, email address, childcare and work status on the registration screen, which collects basic information.

[0805] 2. The device sends the user's registration information to the server. The server stores the received information in a database and sends the character selection screen data to the device.

[0806] 3. The user selects a character from a list and enters customization information (color, clothing, etc.). The device sends this information to the server, which stores the character information in a database.

[0807] Providing daily support

[0808] 1. The user launches the app and speaks out their concerns and condition for the day.

[0809] 2. The device uses voice recognition technology to convert the voice into text data.

[0810] 3. The device sends the converted text data to the server.

[0811] 4. The server passes the received text data to a natural language processing (NLP) engine for content analysis, identifying, for example, concerns about childcare or work stress.

[0812] 5. The server uses the emotion engine to assess the user's emotional state, for example, identifying whether they are stressed or relaxed.

[0813] 6. The server generates appropriate support information based on the analyzed content and emotional state, such as advice on relaxation techniques or information on nearby support facilities.

[0814] 7. If necessary, the server calls external service APIs to obtain relevant service information, such as information on sick child care facilities or contact information for career counseling.

[0815] 8. The server sends the generated support information to the device, which then provides it to the user. The character will offer comforting words or appropriate advice.

[0816] Specific examples

[0817] Example 1: Providing information about childcare facilities for sick children

[0818] 1. The user says, "My child suddenly developed a fever."

[0819] 2. The device converts the speech into text and sends it to the server.

[0820] 3. The server determines that the content is related to "child's illness" and uses the emotion engine to evaluate that the user is feeling anxious.

[0821] 4. The server obtains information about sick child care facilities from the external API and sends the relevant information to the terminal.

[0822] 5. The device will display to the user, "Here are the nearest sick child care facilities," and a character will speak to ease the user's anxiety.

[0823] Example 2: Career planning consultation

[0824] 1. A user says, "I want to go back to work, but I'm nervous."

[0825] 2. The device converts the speech into text and sends it to the server.

[0826] 3. The server analyzes the text and determines that it is a career-related concern. It then uses an emotion engine to assess that the user is feeling anxious.

[0827] 4. The server generates contact information for a career counselor and counseling information and sends it to the terminal.

[0828] 5. The device will ask the user, "Why not talk to an expert?" and a character will deliver a supportive message.

[0829] Effects of implementation

[0830] This system allows users to reduce stress from childcare and work and receive appropriate information and support. A major feature of this system is that it uses an emotion engine to gain a detailed understanding of the user's emotional state and provide more personalized support. This improves the user's quality of life and reduces their mental burden.

[0831] The processing flow will be explained below.

[0832] This invention is a system that uses voice input to provide support tailored to the individual needs and emotional state of busy users who are trying to balance work and childcare. In particular, by combining it with an emotion engine, it is possible to more accurately grasp the user's emotional state and provide appropriate personalized support.

[0833] User registration and character selection

[0834] Step 1:

[0835] Users install the application and enter their name, email address, and childcare and work status on the registration screen, which collects basic information.

[0836] Step 2:

[0837] The device sends the user's registration information to the server. The server stores the received information in a database and sends the character selection screen data to the device.

[0838] Step 3:

[0839] The user selects a character from a list and enters customization information (color, clothing, etc.). The device sends this information to the server, which then stores the character information in a database.

[0840] Providing daily support

[0841] Step 4:

[0842] The user launches the app and speaks out their concerns and condition for the day.

[0843] Step 5:

[0844] The device uses voice recognition technology to convert the voice into text data.

[0845] Step 6:

[0846] The terminal transmits the converted text data to the server.

[0847] Step 7:

[0848] The server passes the received text data to a natural language processing (NLP) engine, which analyzes the content and identifies, for example, concerns about child-rearing or work stress.

[0849] Step 8:

[0850] The server uses an emotion engine to assess the user's emotional state, for example, to identify emotional states such as stressed or relaxed.

[0851] Step 9:

[0852] The server generates appropriate support information based on the analyzed content and emotional state, such as advice on relaxation techniques or information on nearby support facilities.

[0853] Step 10:

[0854] If necessary, the server calls external service APIs to obtain related service information, such as information on sick child care facilities or contact information for career counseling.

[0855] Step 11:

[0856] The server generates support information and sends it to the device, which then provides it to the user. Characters offer comforting words and appropriate advice.

[0857] Specific examples

[0858] Example 1: Providing information about childcare facilities for sick children

[0859] Step 1:

[0860] The user says, "My child suddenly developed a fever."

[0861] Step 2:

[0862] The device converts the speech into text and sends it to the server.

[0863] Step 3:

[0864] The server determines that the content is related to "child's illness" and uses an emotion engine to evaluate that the user is feeling anxious.

[0865] Step 4:

[0866] The server obtains information about sick child care facilities from an external API and sends the relevant information to the terminal.

[0867] Step 5:

[0868] The device will tell the user, "Here are the nearest sick child care facilities," and a character will speak to ease their anxiety.

[0869] Example 2: Career planning consultation

[0870] Step 1:

[0871] A user says, "I want to go back to work, but I'm nervous."

[0872] Step 2:

[0873] The device converts the speech into text and sends it to the server.

[0874] Step 3:

[0875] The server analyzes the text and determines that it is a career concern. It then uses an emotion engine to assess that the user is feeling anxious.

[0876] Step 4:

[0877] The server generates contact information for a career counselor and counseling information and transmits it to the terminal.

[0878] Step 5:

[0879] The device will ask the user, "Why not try talking to an expert?" and a character will deliver a supportive message.

[0880] Effects of implementation

[0881] This system allows users to reduce stress from childcare and work and receive appropriate information and support. A major feature of this system is that it uses an emotion engine to gain a detailed understanding of the user's emotional state and provide more personalized support. This improves the user's quality of life and reduces their mental burden.

[0882] Example 2

[0883] 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."

[0884] In modern society, an increasing number of users are busy balancing work and childcare responsibilities. However, these users are prone to stress and often find it difficult to receive appropriate support. Conventional systems have struggled to provide personalized support by gaining a detailed understanding of users' emotional state and current needs. Furthermore, they lack the functionality to timely obtain and provide information about external services to users. This has led to issues such as a decline in users' quality of life and an increase in their mental burden.

[0885] The specific processing by the specific processing unit 290 of the data processing device 12 in the second embodiment is realized by the following means.

[0886] In this invention, the server includes means for converting information input by the user in voice form into text data, means for analyzing the text data using natural language processing to identify the user's emotional state and needs, and means for generating appropriate support information based on the identified emotional state and needs, thereby enabling the user to quickly receive personalized support according to their own emotional state and needs.

[0887] "Users" refer to people who are trying to balance childcare and work and who use this system to receive support.

[0888] "Terminal" refers to an electronic device used by a user, such as a computer, smartphone, or tablet.

[0889] A "server" refers to a central processing unit that receives a request from a user, processes it, and then returns a response.

[0890] "Text data" refers to data that is the result of voice input converted by voice recognition technology and is expressed in the form of a string of characters.

[0891] "Natural language processing" refers to technology for analyzing text data and understanding its meaning and emotional state.

[0892] "Emotional state" refers to the type and intensity of the emotion the user is feeling, and represents states such as stress, anxiety, happiness, etc.

[0893] "Needs" refers to the user's current requirements and the support they require.

[0894] "Support information" refers to advice and information generated based on the user's emotional state and needs.

[0895] "Character" refers to a virtual person or animal within the system that can be selected and customized by the user.

[0896] "Customization information" refers to data that a user inputs when customizing a character's appearance, clothing, etc.

[0897] "External service information" refers to information about related services and facilities that the system obtains through external APIs.

[0898] This invention is a system that uses voice input to provide support tailored to the individual needs and emotional state of users who are busy balancing work and childcare. The system is mainly composed of three elements: a server, a terminal, and a user.

[0899] First, the user installs the application on their device. When the application is launched for the first time, a registration screen appears, and the user enters basic information such as their name, email address, and childcare and work status. This creates a user profile. The device sends the entered information to the server, which stores the information in a database. Next, the user selects their preferred character on the character selection screen and enters customization information. This customization information is also sent from the device to the server and stored in the database.

[0900] Daily support begins when the user launches the app and speaks to describe their concerns or condition. Specifically, they speak prompts such as "I'm feeling stressed at work" or "My child has suddenly developed a fever." The device converts the speech into text using speech recognition software such as Google Cloud Speech-to-Text or IBM Watson Speech to Text. The converted text is then sent from the device to a server.

[0901] The server passes the received text data to a natural language processing (NLP) engine (for example, Python's NLTK library or spaCy) for analysis. The purpose of the analysis is to identify the user's concerns and state from the text data. Next, an emotion engine (such as Microsoft Azure Text Analytics or Amazon Comprehend) is used to evaluate the user's emotional state. For example, emotions such as "high stress" or "anxiety" are identified.

[0902] Based on the analysis results and the user's emotional state, the server generates appropriate support information. For example, it provides advice on stress relief or information on nearby relaxation facilities. If necessary, it calls external service APIs (such as the Google Places API or LinkedIn API) to obtain related service information. This obtained information also becomes part of the support information provided to the user.

[0903] Finally, the server sends the generated support information to the device, which then provides it to the user. The method of providing the information includes via a designated character. For example, the character guides the user by saying soothing words, such as, "Here is the nearest sick child care facility."

[0904] This system allows users to easily communicate their concerns and state of mind using only voice input, and receive appropriate support based on their emotional state. The combination of the emotion engine and external APIs enables personalized support tailored to the individual needs of users, reducing stress in childcare and work.

[0905] Prompt Sentence Examples

[0906] "I'm under a lot of stress from work"

[0907] "My child suddenly developed a fever"

[0908] The flow of the identification process in the second embodiment will be described with reference to FIG.

[0909] Program processing flow

[0910] Step 1:

[0911] A user installs the application and enters their name, email address, parental and work status into a registration screen. This information is the basic data that forms the user's profile.

[0912] Input: User's name, email address, childcare and work status

[0913] Data processing / calculation: Formatting input information and converting it into a form that can be communicated

[0914] Output: Formatted user information

[0915] Step 2:

[0916] The device sends the user information entered on the registration screen to the server using an HTTP POST request.

[0917] Input: Formatted user information

[0918] Data processing / calculation: Include user information in HTTP requests

[0919] Output: Request sent to server

[0920] Step 3:

[0921] The server stores the received user information in a database, which can be managed using a database management system such as MySQL or PostgreSQL.

[0922] Input: User information sent to the server

[0923] Data processing / calculation: User information is inserted into the database as an SQL query

[0924] Output: User information stored in the database

[0925] Step 4:

[0926] The server sends the character selection screen data to the device, including the character list.

[0927] Input: Character information in the database

[0928] Data processing / calculation: Convert character information into JSON format

[0929] Output: Sending character selection screen data to the device

[0930] Step 5:

[0931] The user selects a character of their choice on the character selection screen and enters customization information. They select "Mike the Cat," set the color to "pink," and set the outfit to "dress with ribbon."

[0932] Input: User's character selection and customization information

[0933] Data Processing / Calculation: Select and customize information format

[0934] Output: Formatted character information

[0935] Step 6:

[0936] The device sends the character information to the server, again using an HTTP POST request.

[0937] Input: Formatted character information

[0938] Data processing / calculation: Include character information in HTTP requests

[0939] Output: Request sent to server

[0940] Step 7:

[0941] The server stores the received character information in a database.

[0942] Input: Character information sent to the server

[0943] Data processing / calculation: Insert character information into the database as an SQL query

[0944] Output: Character information stored in the database

[0945] Providing daily support

[0946] Step 1:

[0947] The user launches the app and speaks, "I'm feeling stressed at work."

[0948] Input: User's voice prompt

[0949] Output: Audio data

[0950] Step 2:

[0951] The device uses voice recognition software (e.g., Google Cloud Speech-to-Text) to convert the voice data into text data.

[0952] Input: Audio data

[0953] Data processing / computation: Analysis of voice data and conversion to text

[0954] Output: Text data "I'm stressed out at work"

[0955] Step 3:

[0956] The terminal sends the converted text data to the server using an HTTP POST request.

[0957] Input: Text data

[0958] Data processing / calculation: Include text data in the HTTP request

[0959] Output: Request sent to server

[0960] Step 4:

[0961] The server passes the received text data to a natural language processing engine (such as spaCy) for analysis, and extracts keywords such as "work" and "stress" from the text data.

[0962] Input: Text data

[0963] Data processing / calculation: Keyword extraction and content analysis

[0964] Output: Analysis results (e.g., "Work" and "Stress")

[0965] Step 5:

[0966] The server uses an emotion engine (e.g., Microsoft Azure Text Analytics) to assess the user's emotional state and quantify their stress level.

[0967] Input: Analysis results

[0968] Data processing / computation: Emotion analysis and stress level assessment

[0969] Output: Emotional state (e.g. high stress level)

[0970] Step 6:

[0971] The server generates appropriate support information, for example, advice on stress relief and information on relaxation facilities.

[0972] Input: Emotional state and analysis results

[0973] Data processing / calculation: generating supporting information and calling external APIs

[0974] Output: Generated support information (e.g., relaxation methods)

[0975] Step 7:

[0976] The server transmits the generated support information to the terminal.

[0977] Input: Generated support information

[0978] Data processing / calculation: formatting information and preparing it for transmission

[0979] Output: Send support information to the device

[0980] Step 8:

[0981] The device provides support information to the user, with characters displaying messages such as "Take a deep breath" and providing information on relaxation facilities.

[0982] Input: Support Information

[0983] Data processing / calculation: Information display and character animation control

[0984] Output: Provide information to the user

[0985] (Application example 2)

[0986] 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."

[0987] There is a need for ways to reduce the stress and anxiety experienced by employees who are raising children while balancing work and childcare. Particularly in workplaces such as retail, there are limited ways to receive appropriate support and advice immediately, which can have a negative impact on employees' mental and physical health and work efficiency. This issue can be resolved by utilizing voice input and emotion recognition to quickly provide support information tailored to individual needs.

[0988] The identification process by the identification processing unit 290 of the data processing device 12 in Application Example 2 is realized by the following means. In this invention, the server includes means for converting information input in voice format by the user into text data, means for analyzing the text data using natural language processing and identifying the user's emotional state and needs, and means for generating appropriate support information based on the identified emotional state and needs. This enables store employees to receive appropriate support through voice input and emotion recognition using their smart devices.

[0989] "User" includes store employees and customers who use the system.

[0990] "Voice format" refers to the audio signals that a user uses to speak to the system.

[0991] "Text data" refers to data in which information input in voice format is expressed as a string of characters.

[0992] "Natural language processing" is a technology that allows computers to understand and analyze human language.

[0993] "Emotional state" refers to the user's current psychological state, and includes, for example, stress or relaxation.

[0994] "Needs" refers to the user's current requests for support or information.

[0995] "Support information" is advice or information that is generated based on the user's emotional state and needs.

[0996] "Smart device" refers to a portable electronic device that can connect to the Internet, such as a smartphone or smart glasses.

[0997] "Store employees" refers to staff and clerks working at a particular store.

[0998] The present invention provides a support system based on voice input and emotion recognition for reducing stress and anxiety experienced by employees who are raising children while balancing work and childcare. An embodiment of the system will be described in detail below.

[0999] System configuration

[1000] User registration and profile settings

[1001] First, a store employee (hereinafter referred to as "user") installs the application on their smart device and enters basic information, including their name, email address, and childcare and work status. Next, the user selects a character offered within the application and sets customization information (such as color and clothing). All registration and customization information is sent to the server and stored in a database.

[1002] Providing daily support

[1003] 1. The user launches the application and speaks about their concerns and condition in voice form. This voice input is done through the microphone of the smart device.

[1004] 2. The device uses speech recognition technology (for example, Google Cloud Speech-to-Text API) to convert the speech into text data.

[1005] 3. The converted text data is sent to the server, where a natural language processing engine (e.g., SpaCy) analyzes the text.

[1006] 4. The server uses an emotion engine (e.g., IBM Watson Tone Analyzer) to assess the user's emotional state and identify whether they are stressed or relaxed.

[1007] 5. The server generates appropriate support information based on the analyzed content and emotional state. If necessary, it can also obtain additional information from external service APIs.

[1008] 6. Finally, the generated support information is sent to the terminal and provided to the user through the character.

[1009] Hardware and software used

[1010] Speech Recognition Software: Google Cloud Speech-to-Text API is used to accurately convert user voice input into text data.

[1011] Natural language processing engine: SpaCy is used to analyze text data and identify user concerns and questions.

[1012] Emotion engine: IBM Watson Tone Analyzer is used to assess the user's emotional state and tailor the support information provided.

[1013] Database: Firebase Realtime Database stores user registration information and character information.

[1014] Specific examples

[1015] Example 1: Stress management

[1016] 1. A user says, "I'm feeling stressed at work. Please tell me how to relax."

[1017] 2. The device converts the speech into text and sends it to the server.

[1018] 3. The server analyzes the text and evaluates it as stress-related and high stress using the emotion engine.

[1019] 4. The server generates stress management advice, such as "Take a deep breath and relax."

[1020] 5. The device conveys advice to the user through the character.

[1021] Prompt Sentence Examples

[1022] "I'm feeling stressed at work. Tell me how to relax."

[1023] "My child is unwell. Can you give me information about support facilities?"

[1024] In this way, users can effectively manage the stress of childcare and work and enjoy a higher quality of life.

[1025] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[1026] Step 1:

[1027] A user installs the application on their smart device and enters basic information, including their name, email address, and childcare and work status. This creates a basic user profile. They then select a customized character and configure settings such as color and clothing. This information is sent from the device to the server and stored in the Firebase Realtime Database.

[1028] Step 2:

[1029] The user launches the application and speaks about their concerns and state of mind. Voice input is performed through the smart device's microphone. The voice is input in audio format, which activates the device's voice recognition software. The voice recognition software used is the Google Cloud Speech-to-Text API, which converts the voice data into text data.

[1030] Input: User's voice

[1031] Output: Text data

[1032] Step 3:

[1033] The device sends the converted text data to the server. The server then passes the received text data to a natural language processing engine (SpaCy) for content analysis. Natural language processing extracts important information and keywords from the text data and classifies them into specific contexts.

[1034] Input: Text data

[1035] Output: Parsed text data (including keywords and needs)

[1036] Step 4:

[1037] The server passes the parsed text data to an emotion engine (IBM Watson Tone Analyzer) to evaluate the user's emotions, for example, to determine whether the user is stressed or relaxed. In this process, the emotional tone of the text data is analyzed and a result is generated.

[1038] Input: Parsed text data

[1039] Output: Emotional state (stressed, high stress, relaxed, etc.)

[1040] Step 5:

[1041] The server generates appropriate support information based on the analyzed content and emotional state. For example, it provides relaxation advice to a user experiencing high stress, and information on nearby support facilities to a user with childcare concerns. If necessary, it obtains additional information from external service APIs (e.g., a childcare service information provider API).

[1042] Input: Parsed content, emotional state

[1043] Output: Supporting information

[1044] Step 6:

[1045] The server sends the generated support information to the device. The device then provides the received support information to the user, and the character displays an appropriate message. There is also a function to provide voice advice as needed. This allows users to receive support based on their individual needs.

[1046] Input: Support Information

[1047] Output: Visual and audio advice

[1048] In this way, users can effectively manage their daily stress and worries and receive support in balancing work and childcare responsibilities.

[1049] 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.

[1050] 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.

[1051] 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.

[1052] [Third embodiment]

[1053] FIG. 5 shows an example of the configuration of a data processing system 310 according to the third embodiment.

[1054] 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.

[1055] 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).

[1056] 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.

[1057] 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.

[1058] 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).

[1059] 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.

[1060] 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.

[1061] 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.

[1062] 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.

[1063] 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.

[1064] 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."

[1065] This invention is a system that uses voice input to provide support tailored to the individual needs and emotional state of users who are busy balancing work and childcare. Below, the program processing of this system will be explained in natural language.

[1066] System configuration

[1067] User registration and character selection

[1068] 1. The user installs the application and enters their name, email address, childcare and work status on the registration screen, which collects basic information about the user.

[1069] 2. The device sends the user's registration information to the server. The server stores the received information in a database and sends the character selection screen data to the device.

[1070] 3. The user selects a character from a list and enters customization information (color, clothing, etc.). The device sends this information to the server, which stores the character information in a database.

[1071] Providing daily support

[1072] 1. The user launches the app and speaks out their concerns and condition for the day.

[1073] 2. The device uses voice recognition technology to convert the voice into text data.

[1074] 3. The device sends the converted text data to the server.

[1075] 4. The server passes the received text data to a natural language processing engine for content analysis, identifying, for example, concerns about child-rearing or work stress.

[1076] 5. The server performs sentiment analysis to assess the user's emotional state (e.g., stressed, relaxed, etc.).

[1077] Generating and providing support information

[1078] 1. The server generates appropriate support information based on the analyzed content and emotional state, such as advice on relaxation techniques or information on nearby support facilities.

[1079] 2. If necessary, the server calls external service APIs to obtain relevant service information, such as information on sick child care facilities or contact information for career counseling.

[1080] 3. The server generates support information and sends it to the device, which then provides it to the user. The character then offers comforting words and appropriate advice.

[1081] Specific examples

[1082] Example 1: Providing information about childcare facilities for sick children

[1083] 1. The user says, "My child suddenly developed a fever."

[1084] 2. The device converts the speech into text and sends it to the server.

[1085] 3. The server determines that the content is related to "child illness" and retrieves information about sick child care facilities from an external API.

[1086] 4. The server sends the relevant information to the terminal, and the terminal displays to the user, "Here are the nearest sick child care facilities."

[1087] Example 2: Career planning consultation

[1088] 1. A user says, "I want to go back to work, but I'm nervous."

[1089] 2. The device converts the speech into text and sends it to the server.

[1090] 3. The server analyzes the text, determines that the concern is about a career, and generates contact information and counseling information for a career counselor.

[1091] 4. The server sends the information to the device, which then displays the message to the user: "Would you like to speak to an expert?"

[1092] Effects of implementation

[1093] This system allows users to reduce stress from childcare and work and receive appropriate information and support, thereby improving the user's quality of life and reducing the mental burden.

[1094] The processing flow will be explained below.

[1095] Step 1:

[1096] Users install the application and enter their name, email address, and childcare and work status on the registration screen, which collects basic information.

[1097] Step 2:

[1098] The device sends the user's registration information to the server. The server stores the received information in a database and sends the character selection screen data to the device.

[1099] Step 3:

[1100] The user selects a character from a list and enters customization information (color, clothing, etc.). The device sends this information to the server, which then stores the character information in a database.

[1101] Step 4:

[1102] The user launches the app and speaks about their concerns and condition for the day. The device uses voice recognition technology to convert the speech into text data.

[1103] Step 5:

[1104] The terminal transmits the converted text data to the server.

[1105] Step 6:

[1106] The server passes the received text data to a natural language processing (NLP) engine, which analyzes the content and identifies, for example, concerns about child-rearing or work stress.

[1107] Step 7:

[1108] The server performs sentiment analysis to assess the user's emotional state (e.g., stressed, relaxed, etc.).

[1109] Step 8:

[1110] The server generates appropriate support information based on the analyzed content and emotional state, such as advice on relaxation techniques or information on nearby support facilities.

[1111] Step 9:

[1112] If necessary, the server calls external service APIs to obtain related service information, such as information on sick child care facilities or contact information for career counseling.

[1113] Step 10:

[1114] The server generates support information and sends it to the device, which then provides it to the user. Characters offer comforting words and appropriate advice.

[1115] Specific examples

[1116] Example 1: Providing information about childcare facilities for sick children

[1117] Step 1:

[1118] The user says, "My child suddenly developed a fever."

[1119] Step 2:

[1120] The device converts the speech into text and sends it to the server.

[1121] Step 3:

[1122] The server determines that the content is related to "child illness" and retrieves information about sick child care facilities from an external API.

[1123] Step 4:

[1124] The server sends the relevant information to the terminal, and the terminal displays to the user, "Here are the nearest sick child care facilities."

[1125] Example 2: Career planning consultation

[1126] Step 1:

[1127] A user says, "I want to go back to work, but I'm nervous."

[1128] Step 2:

[1129] The device converts the speech into text and sends it to the server.

[1130] Step 3:

[1131] The server analyzes the text, determines that the concern is about a career, and generates contact information and counseling information for a career counselor.

[1132] Step 4:

[1133] The server sends the information to the terminal, which then displays to the user, "Why not talk to an expert?"

[1134] Example 1

[1135] 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."

[1136] Today's busy users face various stresses and difficulties when balancing work and childcare. Sudden childcare issues and anxiety about returning to work can be particularly stressful. Furthermore, it can be difficult to quickly obtain appropriate advice and support information. To effectively address these issues and improve users' quality of life, a system that uses voice input to provide appropriate support tailored to the user's needs and emotional state is needed.

[1137] 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.

[1138] In this invention, the server includes means for converting information input by the user in voice form into text data, means for analyzing the text data using natural language processing to identify the user's emotional state and needs, means for generating appropriate support information based on the identified emotional state and needs, means for providing the generated support information to the user, means for saving and managing customization information related to a character selected by the user, and means for saving user registration information and character information in a database, thereby enabling users to reduce stress related to childcare or work and receive prompt and appropriate support information.

[1139] "Information input in the form of voice" refers to voice data uttered by a user via a voice input device such as a microphone.

[1140] "Means for converting into text data" refers to speech recognition technology or software for converting voice data into character string information.

[1141] "Natural language processing" is a general term for technologies and methods that allow computers to understand, interpret, and generate human language.

[1142] "Emotional state" refers to the psychological state (e.g., stress, relaxation, anxiety, etc.) analyzed from the words and voices of the user.

[1143] "Needs" is a term that refers to user requests and the services, information, support, etc. that are required.

[1144] "Support information" refers to advice and information provided based on the user's needs and emotional state.

[1145] "Character" means a virtual person, animal, or other graphical entity that a user can select and customize within an Application.

[1146] "Customization information" refers to setting information related to the appearance (color, clothing, etc.) of the character selected by the user.

[1147] A "database" refers to a system with a logical data structure for efficiently storing, searching, and updating large amounts of data.

[1148] "Means for generating" refers to the process or system for constructing, processing, and outputting appropriate support information based on the user's emotional state and needs.

[1149] "Means for providing" refers to the method or technology for displaying, audibly transmitting, or notifying the user of the generated support information.

[1150] This invention is a system that uses voice input to provide support tailored to the individual needs and emotional state of users who are busy balancing work and childcare. The system of the present invention is realized by linking a user terminal and a server. The details of this system are described below.

[1151] System configuration

[1152] User registration and character selection

[1153] 1. The user installs the application and enters their name, email address, childcare and work status on the registration screen, which collects basic information about the user.

[1154] 2. The device validates the registration information entered by the user in real time and sends it to the server. The server stores the received information in a database and sends the character selection screen data to the device.

[1155] 3. The user selects a character from the list and enters customization information (color, clothing, etc.). The device sends this information to the server, which stores the character information in a database.

[1156] Providing daily support

[1157] 1. The user launches the app and speaks out their concerns and condition for the day.

[1158] 2. The device uses voice recognition technology (e.g., Google Cloud Speech-to-Text) to convert the voice into text data.

[1159] 3. The device sends the converted text data to the server.

[1160] 4. The server passes the received text data to a natural language processing engine (e.g., OpenAI GPT-3) to analyze the content. For example, it identifies content such as worries about childcare or work stress.

[1161] 5. The server performs sentiment analysis to assess the user's emotional state (e.g., stressed, relaxed, etc.).

[1162] Generating and providing support information

[1163] 1. The server generates appropriate support information based on the analyzed content and emotional state, such as advice on relaxation techniques or information on nearby support facilities.

[1164] 2. If necessary, the server calls external service APIs (e.g., Google Places API) to obtain related service information, such as information about sick child care facilities or career counseling contact information.

[1165] 3. The server sends the generated support information to the device, which then provides it to the user. The character will offer comforting words and appropriate advice.

[1166] Specific examples

[1167] Example 1: Providing information about childcare facilities for sick children

[1168] 1. The user says, "My child suddenly developed a fever."

[1169] 2. The device converts the speech into text and sends it to the server.

[1170] 3. The server determines that the content is related to "child illness" and retrieves information about sick child care facilities from an external API.

[1171] 4. The server sends the relevant information to the terminal, which then displays to the user, "Here are the nearest sick child care facilities."

[1172] Example 2: Career planning consultation

[1173] 1. A user says, "I want to go back to work, but I'm nervous."

[1174] 2. The device converts the speech into text and sends it to the server.

[1175] 3. The server analyzes the text, determines that the concern is about a career, and generates contact information and counseling information for a career counselor.

[1176] 4. The server sends the information to the terminal, which then displays to the user, "Would you like to speak to an expert?"

[1177] In this way, users can communicate their concerns about childcare or work through voice input and quickly receive appropriate support information, thereby improving their quality of life.

[1178] Example of a created prompt

[1179] When a user requests information about sick child care facilities: "My child has suddenly developed a fever and I'm looking for sick child care. Can you tell me where I can find a facility nearby?"

[1180] If a user is seeking career counseling: "I'm thinking about going back to work, but I'm nervous. Can you tell me about career counseling services?"

[1181] The flow of the identification process in the first embodiment will be described with reference to FIG.

[1182] Step 1:

[1183] A user installs the application and enters their name, email address, and childcare and work status on the registration screen. For example, the name and email address are entered in text boxes, and childcare and work status are selected using check boxes and drop-down menus. This allows the user's basic information to be collected.

[1184] Input: User's name, email address, childcare and work status

[1185] Output: Registration information

[1186] Step 2:

[1187] The device validates the registration information entered in real time and sends it to the server if it is entered correctly. For example, it checks whether the email address format is correct and whether all required fields have been entered.

[1188] Input: Registration information

[1189] Output: Validated registration information (if correct)

[1190] Step 3:

[1191] The server saves the received registration information in the database and sends the character selection screen data to the terminal. Specifically, it saves the registration information in the database using an INSERT statement, retrieves the character selection data using a SELECT statement, and sends it to the terminal.

[1192] Input: Validated registration information

[1193] Output: Character selection screen data

[1194] Step 4:

[1195] The user selects their favorite character on the character selection screen and enters customization information (color, clothing, etc.). A list of character images is displayed, and the user can select by tapping or clicking, and customize by specifying the color and clothing.

[1196] Input: Character selection screen data

[1197] Output: Character selection and customization information

[1198] Step 5:

[1199] The device sends character customization information to the server. The customization information is then sent to the server via a POST request.

[1200] Input: Character selection and customization information

[1201] Output: Send customization information to the server

[1202] Step 6:

[1203] The server saves the received customization information in the database and returns a notification of user registration completion to the terminal. The server saves the customization information in the database using an INSERT statement and sends a response of registration completion to the terminal.

[1204] Input: Customization information

[1205] Output: User registration completion notification

[1206] Step 7:

[1207] The user starts the app and speaks about their worries and condition. The user then presses the microphone button to record the voice.

[1208] Input: User voice input

[1209] Output: Audio data

[1210] Step 8:

[1211] The device uses speech recognition technology to convert speech into text data, for example, by calling the Google Cloud Speech-to-Text API.

[1212] Input: Audio data

[1213] Output: Text data

[1214] Step 9:

[1215] The terminal sends the converted text data to the server. The text data is sent to the server via a POST request.

[1216] Input: Text data

[1217] Output: Sends text data to the server

[1218] Step 10:

[1219] The server passes the received text data to a natural language processing engine for content analysis. For example, it calls the OpenAI GPT-3 API to analyze the text data and identify content such as parenting worries or work stress.

[1220] Input: Text data

[1221] Output: Parsed text data

[1222] Step 11:

[1223] The server performs sentiment analysis and evaluates the user's emotional state. Based on the analyzed text data, it calls a sentiment analysis API (e.g., Amazon Comprehend) and evaluates the user's emotional state (e.g., high stress, relaxed).

[1224] Input: Parsed text data

[1225] Output: Emotional state rating

[1226] Step 12:

[1227] The server generates appropriate support information based on the analysis data and the user's emotional state. For example, it generates information on nearby support facilities and advice on relaxation techniques based on the analysis data and the results of the emotional assessment.

[1228] Input: Analysis data, emotional state assessment

[1229] Output: Supporting information

[1230] Step 13:

[1231] The server calls external service APIs to obtain relevant service information, such as contact information for sick child care facilities or career counseling services, using the Google Places API as needed.

[1232] Input: User needs

[1233] Output: External service information

[1234] Step 14:

[1235] The server sends the generated support information to the device, which then provides it to the user. The device then sends the support information via push notification or screen display, and the character conveys the generated support information via voice or text.

[1236] Input: Support Information

[1237] Output: Providing support information to the user

[1238] This allows users to reduce stress related to childcare or work and receive prompt and appropriate support information.

[1239] (Application example 1)

[1240] 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."

[1241] In modern society, while Internet usage is increasing, the risk of Internet fraud and phishing scams is also increasing. Therefore, there is a need for a system that can quickly and accurately determine the risk of fraud and provide appropriate countermeasures so that users can use the Internet safely. However, current technology is limited in its ability to individually analyze users' emotional state and needs, and to provide support in dealing with the risk of Internet fraud. This presents a challenge in that it is difficult for users to receive appropriate support when they encounter the risk of fraud.

[1242] 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.

[1243] In this invention, the server includes means for converting information input by the user in voice format into text data, means for analyzing the text data using natural language processing to identify the user's emotional state and needs, means for generating appropriate support information based on the identified emotional state and needs, means for determining the possibility of Internet fraud or phishing fraud, and means for generating and providing specific countermeasures to the user if there is a possibility of fraud. This enables the user to quickly and accurately determine the risk of Internet fraud and take appropriate countermeasures.

[1244] "Information input in the form of voice" refers to voice data uttered by a user using a voice input device such as a microphone.

[1245] "Text data" refers to data obtained by converting information input in voice format into text format.

[1246] "Natural language processing" is a technology that analyzes text data into a format that machines can understand and identifies meaning and emotion.

[1247] "Emotional state" is information that indicates the type and strength of the emotion that the user is currently feeling.

[1248] "Needs" are the information or support that a user is looking for.

[1249] "Support information" is information that is useful to the user and is generated based on the analyzed emotional state and needs.

[1250] "Internet fraud" refers to all fraudulent activities that take place over the Internet.

[1251] "Phishing" is a type of internet fraud that aims to fraudulently obtain users' personal information.

[1252] "Specific measures" are information that indicates actions and steps that users should take to prevent becoming victims of Internet fraud and phishing scams.

[1253] This invention is a system that assesses the risk of Internet fraud and phishing scams and provides appropriate countermeasures to users. In a specific embodiment of the system, a user, a terminal, and a server work together. The details are described below.

[1254] System Configuration

[1255] 1. User registration and basic settings

[1256] First, users install the application and enter basic information such as their name, email address, and internet usage status. This information is sent to the server via the device and stored in a database.

[1257] 2. Voice Input and Recognition

[1258] The user gives a voice input such as "Is this website safe?" The device uses a microphone to capture the voice data and converts this voice data into text data using voice recognition software (e.g., the speech_recognition library).

[1259] 3. Emotion and Needs Analysis

[1260] The device sends the converted text data to the server, which analyzes it using a natural language processing engine (e.g., the TextBlob library) to identify the user's emotional state and needs.

[1261] 4. Security Assessment

[1262] The server evaluates the likelihood of internet fraud or phishing based on the text data, querying an external fraud database API to perform risk assessment.

[1263] 5. Supporting Information Generation

[1264] The server generates appropriate support information based on the emotional state and the security assessment results. If there is a possibility of fraud, it creates support information including specific countermeasures.

[1265] 6. Providing Support Information

[1266] The generated support information is sent from the server to the device, which then provides it to the user. For example, if there is a possibility of fraud, a message such as "Warning: This content may be fraudulent. Please consider the following measures" will be displayed.

[1267] Hardware and software used

[1268] Microphone: A device used to capture the user's voice.

[1269] Speech recognition software: Uses the speech_recognition library.

[1270] Natural Language Processing Engine: Uses the TextBlob library.

[1271] External API: API for internet fraud database.

[1272] Specific examples

[1273] As a concrete example, consider the case where a user asks, "Is this website safe?" In this case, the speech is converted into text, the server analyzes the text, and performs a security assessment of the website using an external API. Based on the assessment results, if there is a risk of fraud, specific countermeasures are generated as supporting information, and the device notifies the user.

[1274] Prompt Sentence Examples

[1275] "Is it okay to click this link?"

[1276] The above is a specific embodiment for carrying out the present invention. This system makes it possible to quickly and accurately determine the risk of Internet fraud and provide users with appropriate countermeasures.

[1277] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[1278] Step 1:

[1279] The user launches the application and asks verbally, "Is this website safe?"

[1280] Input: User's voice data.

[1281] Output: The captured audio data.

[1282] Specific behavior: The user uses a microphone to provide voice input.

[1283] Step 2:

[1284] The device uses speech recognition software (speech_recognition library) to convert the voice data into text data.

[1285] Input: The audio data obtained in step 1.

[1286] Output: The converted text data.

[1287] Specific operation: The device converts audio captured by the microphone into text using the Google Speech Recognition API.

[1288] Step 3:

[1289] The terminal transmits the text data to the server.

[1290] Input: The text data generated in step 2.

[1291] Output: The text data sent to the server.

[1292] Specific operation: The device sends text data to the server via an HTTP request.

[1293] Step 4:

[1294] The server analyzes the text data using a natural language processing engine (TextBlob library) to identify the user's emotional state and needs.

[1295] Input: The text data sent to the server in step 3.

[1296] Output: Identified emotional states and needs.

[1297] Specific operation: The server uses the TextBlob library to perform sentiment analysis and needs analysis of text data.

[1298] Step 5:

[1299] The server calls the fraud database API to assess the likelihood of internet fraud or phishing based on the text data.

[1300] Input: Text data containing the needs identified in step 4.

[1301] Output: Fraud risk assessment results.

[1302] Specific operation: The server sends the text data to the fraud database API and obtains a risk assessment.

[1303] Step 6:

[1304] The server generates appropriate support information based on the emotional state and the security evaluation results.

[1305] Input: Risk assessment results obtained in step 5 and emotional states and needs identified in step 4.

[1306] Output: The generated supporting information.

[1307] Specific behavior: The server creates support information based on the risk assessment results and the user's emotional state and needs.

[1308] Step 7:

[1309] The server transmits the generated support information to the terminal, which then provides it to the user.

[1310] Input: The supporting information generated in step 6.

[1311] Output: Support information provided to the user.

[1312] Specific operation: The server sends support information to the terminal in an HTTP response, and the terminal displays or audibly conveys it to the user.

[1313] The above are the specific processing steps and their contents of this system.

[1314] 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.

[1315] This invention is a system that uses voice input to provide support tailored to the individual needs and emotional state of busy users who are trying to balance childcare and work. It is particularly notable for its ability to more accurately grasp the user's emotional state by incorporating an emotion engine, allowing it to provide personalized, appropriate support. Below, the program processing of this system is explained in natural language.

[1316] System configuration

[1317] User registration and character selection

[1318] 1. The user installs the application and enters their name, email address, childcare and work status on the registration screen, which collects basic information.

[1319] 2. The device sends the user's registration information to the server. The server stores the received information in a database and sends the character selection screen data to the device.

[1320] 3. The user selects a character from a list and enters customization information (color, clothing, etc.). The device sends this information to the server, which stores the character information in a database.

[1321] Providing daily support

[1322] 1. The user launches the app and speaks out their concerns and condition for the day.

[1323] 2. The device uses voice recognition technology to convert the voice into text data.

[1324] 3. The device sends the converted text data to the server.

[1325] 4. The server passes the received text data to a natural language processing (NLP) engine for content analysis, identifying, for example, concerns about childcare or work stress.

[1326] 5. The server uses the emotion engine to assess the user's emotional state, for example, identifying whether they are stressed or relaxed.

[1327] 6. The server generates appropriate support information based on the analyzed content and emotional state, such as advice on relaxation techniques or information on nearby support facilities.

[1328] 7. If necessary, the server calls external service APIs to obtain relevant service information, such as information on sick child care facilities or contact information for career counseling.

[1329] 8. The server sends the generated support information to the device, which then provides it to the user. The character will offer comforting words or appropriate advice.

[1330] Specific examples

[1331] Example 1: Providing information about childcare facilities for sick children

[1332] 1. The user says, "My child suddenly developed a fever."

[1333] 2. The device converts the speech into text and sends it to the server.

[1334] 3. The server determines that the content is related to "child's illness" and uses the emotion engine to evaluate that the user is feeling anxious.

[1335] 4. The server obtains information about sick child care facilities from the external API and sends the relevant information to the terminal.

[1336] 5. The device will display to the user, "Here are the nearest sick child care facilities," and a character will speak to ease the user's anxiety.

[1337] Example 2: Career planning consultation

[1338] 1. A user says, "I want to go back to work, but I'm nervous."

[1339] 2. The device converts the speech into text and sends it to the server.

[1340] 3. The server analyzes the text and determines that it is a career-related concern. It then uses an emotion engine to assess that the user is feeling anxious.

[1341] 4. The server generates contact information for a career counselor and counseling information and sends it to the terminal.

[1342] 5. The device will ask the user, "Why not talk to an expert?" and a character will deliver a supportive message.

[1343] Effects of implementation

[1344] This system allows users to reduce stress from childcare and work and receive appropriate information and support. A major feature of this system is that it uses an emotion engine to gain a detailed understanding of the user's emotional state and provide more personalized support. This improves the user's quality of life and reduces their mental burden.

[1345] The processing flow will be explained below.

[1346] This invention is a system that uses voice input to provide support tailored to the individual needs and emotional state of busy users who are trying to balance work and childcare. In particular, by combining it with an emotion engine, it is possible to more accurately grasp the user's emotional state and provide appropriate personalized support.

[1347] User registration and character selection

[1348] Step 1:

[1349] Users install the application and enter their name, email address, and childcare and work status on the registration screen, which collects basic information.

[1350] Step 2:

[1351] The device sends the user's registration information to the server. The server stores the received information in a database and sends the character selection screen data to the device.

[1352] Step 3:

[1353] The user selects a character from a list and enters customization information (color, clothing, etc.). The device sends this information to the server, which then stores the character information in a database.

[1354] Providing daily support

[1355] Step 4:

[1356] The user launches the app and speaks out their concerns and condition for the day.

[1357] Step 5:

[1358] The device uses voice recognition technology to convert the voice into text data.

[1359] Step 6:

[1360] The terminal transmits the converted text data to the server.

[1361] Step 7:

[1362] The server passes the received text data to a natural language processing (NLP) engine, which analyzes the content and identifies, for example, concerns about child-rearing or work stress.

[1363] Step 8:

[1364] The server uses an emotion engine to assess the user's emotional state, for example, to identify emotional states such as stressed or relaxed.

[1365] Step 9:

[1366] The server generates appropriate support information based on the analyzed content and emotional state, such as advice on relaxation techniques or information on nearby support facilities.

[1367] Step 10:

[1368] If necessary, the server calls external service APIs to obtain related service information, such as information on sick child care facilities or contact information for career counseling.

[1369] Step 11:

[1370] The server generates support information and sends it to the device, which then provides it to the user. Characters offer comforting words and appropriate advice.

[1371] Specific examples

[1372] Example 1: Providing information about childcare facilities for sick children

[1373] Step 1:

[1374] The user says, "My child suddenly developed a fever."

[1375] Step 2:

[1376] The device converts the speech into text and sends it to the server.

[1377] Step 3:

[1378] The server determines that the content is related to "child's illness" and uses an emotion engine to evaluate that the user is feeling anxious.

[1379] Step 4:

[1380] The server obtains information about sick child care facilities from an external API and sends the relevant information to the terminal.

[1381] Step 5:

[1382] The device will tell the user, "Here are the nearest sick child care facilities," and a character will speak to ease their anxiety.

[1383] Example 2: Career planning consultation

[1384] Step 1:

[1385] A user says, "I want to go back to work, but I'm nervous."

[1386] Step 2:

[1387] The device converts the speech into text and sends it to the server.

[1388] Step 3:

[1389] The server analyzes the text and determines that it is a career concern. It then uses an emotion engine to assess that the user is feeling anxious.

[1390] Step 4:

[1391] The server generates contact information for a career counselor and counseling information and transmits it to the terminal.

[1392] Step 5:

[1393] The device will ask the user, "Why not try talking to an expert?" and a character will deliver a supportive message.

[1394] Effects of implementation

[1395] This system allows users to reduce stress from childcare and work and receive appropriate information and support. A major feature of this system is that it uses an emotion engine to gain a detailed understanding of the user's emotional state and provide more personalized support. This improves the user's quality of life and reduces their mental burden.

[1396] Example 2

[1397] 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."

[1398] In modern society, an increasing number of users are busy balancing work and childcare responsibilities. However, these users are prone to stress and often find it difficult to receive appropriate support. Conventional systems have struggled to provide personalized support by gaining a detailed understanding of users' emotional state and current needs. Furthermore, they lack the functionality to timely obtain and provide information about external services to users. This has led to issues such as a decline in users' quality of life and an increase in their mental burden.

[1399] The specific processing by the specific processing unit 290 of the data processing device 12 in the second embodiment is realized by the following means.

[1400] In this invention, the server includes means for converting information input by the user in voice form into text data, means for analyzing the text data using natural language processing to identify the user's emotional state and needs, and means for generating appropriate support information based on the identified emotional state and needs, thereby enabling the user to quickly receive personalized support according to their own emotional state and needs.

[1401] "Users" refer to people who are trying to balance childcare and work and who use this system to receive support.

[1402] "Terminal" refers to an electronic device used by a user, such as a computer, smartphone, or tablet.

[1403] A "server" refers to a central processing unit that receives a request from a user, processes it, and then returns a response.

[1404] "Text data" refers to data that is the result of voice input converted by voice recognition technology and is expressed in the form of a string of characters.

[1405] "Natural language processing" refers to technology for analyzing text data and understanding its meaning and emotional state.

[1406] "Emotional state" refers to the type and intensity of the emotion the user is feeling, and represents states such as stress, anxiety, happiness, etc.

[1407] "Needs" refers to the user's current requirements and the support they require.

[1408] "Support information" refers to advice and information generated based on the user's emotional state and needs.

[1409] "Character" refers to a virtual person or animal within the system that can be selected and customized by the user.

[1410] "Customization information" refers to data that a user inputs when customizing a character's appearance, clothing, etc.

[1411] "External service information" refers to information about related services and facilities that the system obtains through external APIs.

[1412] This invention is a system that uses voice input to provide support tailored to the individual needs and emotional state of users who are busy balancing work and childcare. The system is mainly composed of three elements: a server, a terminal, and a user.

[1413] First, the user installs the application on their device. When the application is launched for the first time, a registration screen appears, and the user enters basic information such as their name, email address, and childcare and work status. This creates a user profile. The device sends the entered information to the server, which stores the information in a database. Next, the user selects their preferred character on the character selection screen and enters customization information. This customization information is also sent from the device to the server and stored in the database.

[1414] Daily support begins when the user launches the app and speaks to describe their concerns or condition. Specifically, they speak prompts such as "I'm feeling stressed at work" or "My child has suddenly developed a fever." The device converts the speech into text using speech recognition software such as Google Cloud Speech-to-Text or IBM Watson Speech to Text. The converted text is then sent from the device to a server.

[1415] The server passes the received text data to a natural language processing (NLP) engine (for example, Python's NLTK library or spaCy) for analysis. The purpose of the analysis is to identify the user's concerns and state from the text data. Next, an emotion engine (such as Microsoft Azure Text Analytics or Amazon Comprehend) is used to evaluate the user's emotional state. For example, emotions such as "high stress" or "anxiety" are identified.

[1416] Based on the analysis results and the user's emotional state, the server generates appropriate support information. For example, it provides advice on stress relief or information on nearby relaxation facilities. If necessary, it calls external service APIs (such as the Google Places API or LinkedIn API) to obtain related service information. This obtained information also becomes part of the support information provided to the user.

[1417] Finally, the server sends the generated support information to the device, which then provides it to the user. The method of providing the information includes via a designated character. For example, the character guides the user by saying soothing words, such as, "Here is the nearest sick child care facility."

[1418] This system allows users to easily communicate their concerns and state of mind using only voice input, and receive appropriate support based on their emotional state. The combination of the emotion engine and external APIs enables personalized support tailored to the individual needs of users, reducing stress in childcare and work.

[1419] Prompt Sentence Examples

[1420] "I'm under a lot of stress from work"

[1421] "My child suddenly developed a fever"

[1422] The flow of the identification process in the second embodiment will be described with reference to FIG.

[1423] Program processing flow

[1424] Step 1:

[1425] A user installs the application and enters their name, email address, parental and work status into a registration screen. This information is the basic data that forms the user's profile.

[1426] Input: User's name, email address, childcare and work status

[1427] Data processing / calculation: Formatting input information and converting it into a form that can be communicated

[1428] Output: Formatted user information

[1429] Step 2:

[1430] The device sends the user information entered on the registration screen to the server using an HTTP POST request.

[1431] Input: Formatted user information

[1432] Data processing / calculation: Include user information in HTTP requests

[1433] Output: Request sent to server

[1434] Step 3:

[1435] The server stores the received user information in a database, which can be managed using a database management system such as MySQL or PostgreSQL.

[1436] Input: User information sent to the server

[1437] Data processing / calculation: User information is inserted into the database as an SQL query

[1438] Output: User information stored in the database

[1439] Step 4:

[1440] The server sends the character selection screen data to the device, including the character list.

[1441] Input: Character information in the database

[1442] Data processing / calculation: Convert character information into JSON format

[1443] Output: Sending character selection screen data to the device

[1444] Step 5:

[1445] The user selects a character of their choice on the character selection screen and enters customization information. They select "Mike the Cat," set the color to "pink," and set the outfit to "dress with ribbon."

[1446] Input: User's character selection and customization information

[1447] Data Processing / Calculation: Select and customize information format

[1448] Output: Formatted character information

[1449] Step 6:

[1450] The device sends the character information to the server, again using an HTTP POST request.

[1451] Input: Formatted character information

[1452] Data processing / calculation: Include character information in HTTP requests

[1453] Output: Request sent to server

[1454] Step 7:

[1455] The server stores the received character information in a database.

[1456] Input: Character information sent to the server

[1457] Data processing / calculation: Insert character information into the database as an SQL query

[1458] Output: Character information stored in the database

[1459] Providing daily support

[1460] Step 1:

[1461] The user launches the app and speaks, "I'm feeling stressed at work."

[1462] Input: User's voice prompt

[1463] Output: Audio data

[1464] Step 2:

[1465] The device uses voice recognition software (e.g., Google Cloud Speech-to-Text) to convert the voice data into text data.

[1466] Input: Audio data

[1467] Data processing / computation: Analysis of voice data and conversion to text

[1468] Output: Text data "I'm stressed out at work"

[1469] Step 3:

[1470] The terminal sends the converted text data to the server using an HTTP POST request.

[1471] Input: Text data

[1472] Data processing / calculation: Include text data in the HTTP request

[1473] Output: Request sent to server

[1474] Step 4:

[1475] The server passes the received text data to a natural language processing engine (such as spaCy) for analysis, and extracts keywords such as "work" and "stress" from the text data.

[1476] Input: Text data

[1477] Data processing / calculation: Keyword extraction and content analysis

[1478] Output: Analysis results (e.g., "Work" and "Stress")

[1479] Step 5:

[1480] The server uses an emotion engine (e.g., Microsoft Azure Text Analytics) to assess the user's emotional state and quantify their stress level.

[1481] Input: Analysis results

[1482] Data processing / computation: Emotion analysis and stress level assessment

[1483] Output: Emotional state (e.g. high stress level)

[1484] Step 6:

[1485] The server generates appropriate support information, for example, advice on stress relief and information on relaxation facilities.

[1486] Input: Emotional state and analysis results

[1487] Data processing / calculation: generating supporting information and calling external APIs

[1488] Output: Generated support information (e.g., relaxation methods)

[1489] Step 7:

[1490] The server transmits the generated support information to the terminal.

[1491] Input: Generated support information

[1492] Data processing / calculation: formatting information and preparing it for transmission

[1493] Output: Send support information to the device

[1494] Step 8:

[1495] The device provides support information to the user, with characters displaying messages such as "Take a deep breath" and providing information on relaxation facilities.

[1496] Input: Support Information

[1497] Data processing / calculation: Information display and character animation control

[1498] Output: Provide information to the user

[1499] (Application example 2)

[1500] 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."

[1501] There is a need for ways to reduce the stress and anxiety experienced by employees who are raising children while balancing work and childcare. Particularly in workplaces such as retail, there are limited ways to receive appropriate support and advice immediately, which can have a negative impact on employees' mental and physical health and work efficiency. This issue can be resolved by utilizing voice input and emotion recognition to quickly provide support information tailored to individual needs.

[1502] The identification process by the identification processing unit 290 of the data processing device 12 in Application Example 2 is realized by the following means. In this invention, the server includes means for converting information input in voice format by the user into text data, means for analyzing the text data using natural language processing and identifying the user's emotional state and needs, and means for generating appropriate support information based on the identified emotional state and needs. This enables store employees to receive appropriate support through voice input and emotion recognition using their smart devices.

[1503] "User" includes store employees and customers who use the system.

[1504] "Voice format" refers to the audio signals that a user uses to speak to the system.

[1505] "Text data" refers to data in which information input in voice format is expressed as a string of characters.

[1506] "Natural language processing" is a technology that allows computers to understand and analyze human language.

[1507] "Emotional state" refers to the user's current psychological state, and includes, for example, stress or relaxation.

[1508] "Needs" refers to the user's current requests for support or information.

[1509] "Support information" is advice or information that is generated based on the user's emotional state and needs.

[1510] "Smart device" refers to a portable electronic device that can connect to the Internet, such as a smartphone or smart glasses.

[1511] "Store employees" refers to staff and clerks working at a particular store.

[1512] The present invention provides a support system based on voice input and emotion recognition for reducing stress and anxiety experienced by employees who are raising children while balancing work and childcare. An embodiment of the system will be described in detail below.

[1513] System configuration

[1514] User registration and profile settings

[1515] First, a store employee (hereinafter referred to as "user") installs the application on their smart device and enters basic information, including their name, email address, and childcare and work status. Next, the user selects a character offered within the application and sets customization information (such as color and clothing). All registration and customization information is sent to the server and stored in a database.

[1516] Providing daily support

[1517] 1. The user launches the application and speaks about their concerns and condition in voice form. This voice input is done through the microphone of the smart device.

[1518] 2. The device uses speech recognition technology (for example, Google Cloud Speech-to-Text API) to convert the speech into text data.

[1519] 3. The converted text data is sent to the server, where a natural language processing engine (e.g., SpaCy) analyzes the text.

[1520] 4. The server uses an emotion engine (e.g., IBM Watson Tone Analyzer) to assess the user's emotional state and identify whether they are stressed or relaxed.

[1521] 5. The server generates appropriate support information based on the analyzed content and emotional state. If necessary, it can also obtain additional information from external service APIs.

[1522] 6. Finally, the generated support information is sent to the terminal and provided to the user through the character.

[1523] Hardware and software used

[1524] Speech Recognition Software: Google Cloud Speech-to-Text API is used to accurately convert user voice input into text data.

[1525] Natural language processing engine: SpaCy is used to analyze text data and identify user concerns and questions.

[1526] Emotion engine: IBM Watson Tone Analyzer is used to assess the user's emotional state and tailor the support information provided.

[1527] Database: Firebase Realtime Database stores user registration information and character information.

[1528] Specific examples

[1529] Example 1: Stress management

[1530] 1. A user says, "I'm feeling stressed at work. Please tell me how to relax."

[1531] 2. The device converts the speech into text and sends it to the server.

[1532] 3. The server analyzes the text and evaluates it as stress-related and high stress using the emotion engine.

[1533] 4. The server generates stress management advice, such as "Take a deep breath and relax."

[1534] 5. The device conveys advice to the user through the character.

[1535] Prompt Sentence Examples

[1536] "I'm feeling stressed at work. Tell me how to relax."

[1537] "My child is unwell. Can you give me information about support facilities?"

[1538] In this way, users can effectively manage the stress of childcare and work and enjoy a higher quality of life.

[1539] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[1540] Step 1:

[1541] A user installs the application on their smart device and enters basic information, including their name, email address, and childcare and work status. This creates a basic user profile. They then select a customized character and configure settings such as color and clothing. This information is sent from the device to the server and stored in the Firebase Realtime Database.

[1542] Step 2:

[1543] The user launches the application and speaks about their concerns and state of mind. Voice input is performed through the smart device's microphone. The voice is input in audio format, which activates the device's voice recognition software. The voice recognition software used is the Google Cloud Speech-to-Text API, which converts the voice data into text data.

[1544] Input: User's voice

[1545] Output: Text data

[1546] Step 3:

[1547] The device sends the converted text data to the server. The server then passes the received text data to a natural language processing engine (SpaCy) for content analysis. Natural language processing extracts important information and keywords from the text data and classifies them into specific contexts.

[1548] Input: Text data

[1549] Output: Parsed text data (including keywords and needs)

[1550] Step 4:

[1551] The server passes the parsed text data to an emotion engine (IBM Watson Tone Analyzer) to evaluate the user's emotions, for example, to determine whether the user is stressed or relaxed. In this process, the emotional tone of the text data is analyzed and a result is generated.

[1552] Input: Parsed text data

[1553] Output: Emotional state (stressed, high stress, relaxed, etc.)

[1554] Step 5:

[1555] The server generates appropriate support information based on the analyzed content and emotional state. For example, it provides relaxation advice to a user experiencing high stress, and information on nearby support facilities to a user with childcare concerns. If necessary, it obtains additional information from external service APIs (e.g., a childcare service information provider API).

[1556] Input: Parsed content, emotional state

[1557] Output: Supporting information

[1558] Step 6:

[1559] The server sends the generated support information to the device. The device then provides the received support information to the user, and the character displays an appropriate message. There is also a function to provide voice advice as needed. This allows users to receive support based on their individual needs.

[1560] Input: Support Information

[1561] Output: Visual and audio advice

[1562] In this way, users can effectively manage their daily stress and worries and receive support in balancing work and childcare responsibilities.

[1563] 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.

[1564] 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.

[1565] 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.

[1566] [Fourth embodiment]

[1567] FIG. 7 shows an example of the configuration of a data processing system 410 according to the fourth embodiment.

[1568] 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.

[1569] 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).

[1570] 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.

[1571] 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.

[1572] 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).

[1573] 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.

[1574] 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.

[1575] 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.

[1576] 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.

[1577] 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.

[1578] 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.

[1579] 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."

[1580] This invention is a system that uses voice input to provide support tailored to the individual needs and emotional state of users who are busy balancing work and childcare. Below, the program processing of this system will be explained in natural language.

[1581] System configuration

[1582] User registration and character selection

[1583] 1. The user installs the application and enters their name, email address, childcare and work status on the registration screen, which collects basic information about the user.

[1584] 2. The device sends the user's registration information to the server. The server stores the received information in a database and sends the character selection screen data to the device.

[1585] 3. The user selects a character from a list and enters customization information (color, clothing, etc.). The device sends this information to the server, which stores the character information in a database.

[1586] Providing daily support

[1587] 1. The user launches the app and speaks out their concerns and condition for the day.

[1588] 2. The device uses voice recognition technology to convert the voice into text data.

[1589] 3. The device sends the converted text data to the server.

[1590] 4. The server passes the received text data to a natural language processing engine for content analysis, identifying, for example, concerns about child-rearing or work stress.

[1591] 5. The server performs sentiment analysis to assess the user's emotional state (e.g., stressed, relaxed, etc.).

[1592] Generating and providing support information

[1593] 1. The server generates appropriate support information based on the analyzed content and emotional state, such as advice on relaxation techniques or information on nearby support facilities.

[1594] 2. If necessary, the server calls external service APIs to obtain relevant service information, such as information on sick child care facilities or contact information for career counseling.

[1595] 3. The server generates support information and sends it to the device, which then provides it to the user. The character then offers comforting words and appropriate advice.

[1596] Specific examples

[1597] Example 1: Providing information about childcare facilities for sick children

[1598] 1. The user says, "My child suddenly developed a fever."

[1599] 2. The device converts the speech into text and sends it to the server.

[1600] 3. The server determines that the content is related to "child illness" and retrieves information about sick child care facilities from an external API.

[1601] 4. The server sends the relevant information to the terminal, and the terminal displays to the user, "Here are the nearest sick child care facilities."

[1602] Example 2: Career planning consultation

[1603] 1. A user says, "I want to go back to work, but I'm nervous."

[1604] 2. The device converts the speech into text and sends it to the server.

[1605] 3. The server analyzes the text, determines that the concern is about a career, and generates contact information and counseling information for a career counselor.

[1606] 4. The server sends the information to the device, which then displays the message to the user: "Would you like to speak to an expert?"

[1607] Effects of implementation

[1608] This system allows users to reduce stress from childcare and work and receive appropriate information and support, thereby improving the user's quality of life and reducing the mental burden.

[1609] The processing flow will be explained below.

[1610] Step 1:

[1611] Users install the application and enter their name, email address, and childcare and work status on the registration screen, which collects basic information.

[1612] Step 2:

[1613] The device sends the user's registration information to the server. The server stores the received information in a database and sends the character selection screen data to the device.

[1614] Step 3:

[1615] The user selects a character from a list and enters customization information (color, clothing, etc.). The device sends this information to the server, which then stores the character information in a database.

[1616] Step 4:

[1617] The user launches the app and speaks about their concerns and condition for the day. The device uses voice recognition technology to convert the speech into text data.

[1618] Step 5:

[1619] The terminal transmits the converted text data to the server.

[1620] Step 6:

[1621] The server passes the received text data to a natural language processing (NLP) engine, which analyzes the content and identifies, for example, concerns about child-rearing or work stress.

[1622] Step 7:

[1623] The server performs sentiment analysis to assess the user's emotional state (e.g., stressed, relaxed, etc.).

[1624] Step 8:

[1625] The server generates appropriate support information based on the analyzed content and emotional state, such as advice on relaxation techniques or information on nearby support facilities.

[1626] Step 9:

[1627] If necessary, the server calls external service APIs to obtain related service information, such as information on sick child care facilities or contact information for career counseling.

[1628] Step 10:

[1629] The server generates support information and sends it to the device, which then provides it to the user. Characters offer comforting words and appropriate advice.

[1630] Specific examples

[1631] Example 1: Providing information about childcare facilities for sick children

[1632] Step 1:

[1633] The user says, "My child suddenly developed a fever."

[1634] Step 2:

[1635] The device converts the speech into text and sends it to the server.

[1636] Step 3:

[1637] The server determines that the content is related to "child illness" and retrieves information about sick child care facilities from an external API.

[1638] Step 4:

[1639] The server sends the relevant information to the terminal, and the terminal displays to the user, "Here are the nearest sick child care facilities."

[1640] Example 2: Career planning consultation

[1641] Step 1:

[1642] A user says, "I want to go back to work, but I'm nervous."

[1643] Step 2:

[1644] The device converts the speech into text and sends it to the server.

[1645] Step 3:

[1646] The server analyzes the text, determines that the concern is about a career, and generates contact information and counseling information for a career counselor.

[1647] Step 4:

[1648] The server sends the information to the terminal, which then displays to the user, "Why not talk to an expert?"

[1649] Example 1

[1650] 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."

[1651] Today's busy users face various stresses and difficulties when balancing work and childcare. Sudden childcare issues and anxiety about returning to work can be particularly stressful. Furthermore, it can be difficult to quickly obtain appropriate advice and support information. To effectively address these issues and improve users' quality of life, a system that uses voice input to provide appropriate support tailored to the user's needs and emotional state is needed.

[1652] 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.

[1653] In this invention, the server includes means for converting information input by the user in voice form into text data, means for analyzing the text data using natural language processing to identify the user's emotional state and needs, means for generating appropriate support information based on the identified emotional state and needs, means for providing the generated support information to the user, means for saving and managing customization information related to a character selected by the user, and means for saving user registration information and character information in a database, thereby enabling users to reduce stress related to childcare or work and receive prompt and appropriate support information.

[1654] "Information input in the form of voice" refers to voice data uttered by a user via a voice input device such as a microphone.

[1655] "Means for converting into text data" refers to speech recognition technology or software for converting voice data into character string information.

[1656] "Natural language processing" is a general term for technologies and methods that allow computers to understand, interpret, and generate human language.

[1657] "Emotional state" refers to the psychological state (e.g., stress, relaxation, anxiety, etc.) analyzed from the words and voices of the user.

[1658] "Needs" is a term that refers to user requests and the services, information, support, etc. that are required.

[1659] "Support information" refers to advice and information provided based on the user's needs and emotional state.

[1660] "Character" means a virtual person, animal, or other graphical entity that a user can select and customize within an Application.

[1661] "Customization information" refers to setting information related to the appearance (color, clothing, etc.) of the character selected by the user.

[1662] A "database" refers to a system with a logical data structure for efficiently storing, searching, and updating large amounts of data.

[1663] "Means for generating" refers to the process or system for constructing, processing, and outputting appropriate support information based on the user's emotional state and needs.

[1664] "Means for providing" refers to the method or technology for displaying, audibly transmitting, or notifying the user of the generated support information.

[1665] This invention is a system that uses voice input to provide support tailored to the individual needs and emotional state of users who are busy balancing work and childcare. The system of the present invention is realized by linking a user terminal and a server. The details of this system are described below.

[1666] System configuration

[1667] User registration and character selection

[1668] 1. The user installs the application and enters their name, email address, childcare and work status on the registration screen, which collects basic information about the user.

[1669] 2. The device validates the registration information entered by the user in real time and sends it to the server. The server stores the received information in a database and sends the character selection screen data to the device.

[1670] 3. The user selects a character from the list and enters customization information (color, clothing, etc.). The device sends this information to the server, which stores the character information in a database.

[1671] Providing daily support

[1672] 1. The user launches the app and speaks out their concerns and condition for the day.

[1673] 2. The device uses voice recognition technology (e.g., Google Cloud Speech-to-Text) to convert the voice into text data.

[1674] 3. The device sends the converted text data to the server.

[1675] 4. The server passes the received text data to a natural language processing engine (e.g., OpenAI GPT-3) to analyze the content. For example, it identifies content such as worries about childcare or work stress.

[1676] 5. The server performs sentiment analysis to assess the user's emotional state (e.g., stressed, relaxed, etc.).

[1677] Generating and providing support information

[1678] 1. The server generates appropriate support information based on the analyzed content and emotional state, such as advice on relaxation techniques or information on nearby support facilities.

[1679] 2. If necessary, the server calls external service APIs (e.g., Google Places API) to obtain related service information, such as information about sick child care facilities or career counseling contact information.

[1680] 3. The server sends the generated support information to the device, which then provides it to the user. The character will offer comforting words and appropriate advice.

[1681] Specific examples

[1682] Example 1: Providing information about childcare facilities for sick children

[1683] 1. The user says, "My child suddenly developed a fever."

[1684] 2. The device converts the speech into text and sends it to the server.

[1685] 3. The server determines that the content is related to "child illness" and retrieves information about sick child care facilities from an external API.

[1686] 4. The server sends the relevant information to the terminal, which then displays to the user, "Here are the nearest sick child care facilities."

[1687] Example 2: Career planning consultation

[1688] 1. A user says, "I want to go back to work, but I'm nervous."

[1689] 2. The device converts the speech into text and sends it to the server.

[1690] 3. The server analyzes the text, determines that the concern is about a career, and generates contact information and counseling information for a career counselor.

[1691] 4. The server sends the information to the terminal, which then displays to the user, "Would you like to speak to an expert?"

[1692] In this way, users can communicate their concerns about childcare or work through voice input and quickly receive appropriate support information, thereby improving their quality of life.

[1693] Example of a created prompt

[1694] When a user requests information about sick child care facilities: "My child has suddenly developed a fever and I'm looking for sick child care. Can you tell me where I can find a facility nearby?"

[1695] If a user is seeking career counseling: "I'm thinking about going back to work, but I'm nervous. Can you tell me about career counseling services?"

[1696] The flow of the identification process in the first embodiment will be described with reference to FIG.

[1697] Step 1:

[1698] A user installs the application and enters their name, email address, and childcare and work status on the registration screen. For example, the name and email address are entered in text boxes, and childcare and work status are selected using check boxes and drop-down menus. This allows the user's basic information to be collected.

[1699] Input: User's name, email address, childcare and work status

[1700] Output: Registration information

[1701] Step 2:

[1702] The device validates the registration information entered in real time and sends it to the server if it is entered correctly. For example, it checks whether the email address format is correct and whether all required fields have been entered.

[1703] Input: Registration information

[1704] Output: Validated registration information (if correct)

[1705] Step 3:

[1706] The server saves the received registration information in the database and sends the character selection screen data to the terminal. Specifically, it saves the registration information in the database using an INSERT statement, retrieves the character selection data using a SELECT statement, and sends it to the terminal.

[1707] Input: Validated registration information

[1708] Output: Character selection screen data

[1709] Step 4:

[1710] The user selects their favorite character on the character selection screen and enters customization information (color, clothing, etc.). A list of character images is displayed, and the user can select by tapping or clicking, and customize by specifying the color and clothing.

[1711] Input: Character selection screen data

[1712] Output: Character selection and customization information

[1713] Step 5:

[1714] The device sends character customization information to the server. The customization information is then sent to the server via a POST request.

[1715] Input: Character selection and customization information

[1716] Output: Send customization information to the server

[1717] Step 6:

[1718] The server saves the received customization information in the database and returns a notification of user registration completion to the terminal. The server saves the customization information in the database using an INSERT statement and sends a response of registration completion to the terminal.

[1719] Input: Customization information

[1720] Output: User registration completion notification

[1721] Step 7:

[1722] The user starts the app and speaks about their worries and condition. The user then presses the microphone button to record the voice.

[1723] Input: User voice input

[1724] Output: Audio data

[1725] Step 8:

[1726] The device uses speech recognition technology to convert speech into text data, for example, by calling the Google Cloud Speech-to-Text API.

[1727] Input: Audio data

[1728] Output: Text data

[1729] Step 9:

[1730] The terminal sends the converted text data to the server. The text data is sent to the server via a POST request.

[1731] Input: Text data

[1732] Output: Sends text data to the server

[1733] Step 10:

[1734] The server passes the received text data to a natural language processing engine for content analysis. For example, it calls the OpenAI GPT-3 API to analyze the text data and identify content such as parenting worries or work stress.

[1735] Input: Text data

[1736] Output: Parsed text data

[1737] Step 11:

[1738] The server performs sentiment analysis and evaluates the user's emotional state. Based on the analyzed text data, it calls a sentiment analysis API (e.g., Amazon Comprehend) and evaluates the user's emotional state (e.g., high stress, relaxed).

[1739] Input: Parsed text data

[1740] Output: Emotional state rating

[1741] Step 12:

[1742] The server generates appropriate support information based on the analysis data and the user's emotional state. For example, it generates information on nearby support facilities and advice on relaxation techniques based on the analysis data and the results of the emotional assessment.

[1743] Input: Analysis data, emotional state assessment

[1744] Output: Supporting information

[1745] Step 13:

[1746] The server calls external service APIs to obtain relevant service information, such as contact information for sick child care facilities or career counseling services, using the Google Places API as needed.

[1747] Input: User needs

[1748] Output: External service information

[1749] Step 14:

[1750] The server sends the generated support information to the device, which then provides it to the user. The device then sends the support information via push notification or screen display, and the character conveys the generated support information via voice or text.

[1751] Input: Support Information

[1752] Output: Providing support information to the user

[1753] This allows users to reduce stress related to childcare or work and receive prompt and appropriate support information.

[1754] (Application example 1)

[1755] 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."

[1756] In modern society, while Internet usage is increasing, the risk of Internet fraud and phishing scams is also increasing. Therefore, there is a need for a system that can quickly and accurately determine the risk of fraud and provide appropriate countermeasures so that users can use the Internet safely. However, current technology is limited in its ability to individually analyze users' emotional state and needs, and to provide support in dealing with the risk of Internet fraud. This presents a challenge in that it is difficult for users to receive appropriate support when they encounter the risk of fraud.

[1757] 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.

[1758] In this invention, the server includes means for converting information input by the user in voice format into text data, means for analyzing the text data using natural language processing to identify the user's emotional state and needs, means for generating appropriate support information based on the identified emotional state and needs, means for determining the possibility of Internet fraud or phishing fraud, and means for generating and providing specific countermeasures to the user if there is a possibility of fraud. This enables the user to quickly and accurately determine the risk of Internet fraud and take appropriate countermeasures.

[1759] "Information input in the form of voice" refers to voice data uttered by a user using a voice input device such as a microphone.

[1760] "Text data" refers to data obtained by converting information input in voice format into text format.

[1761] "Natural language processing" is a technology that analyzes text data into a format that machines can understand and identifies meaning and emotion.

[1762] "Emotional state" is information that indicates the type and strength of the emotion that the user is currently feeling.

[1763] "Needs" are the information or support that a user is looking for.

[1764] "Support information" is information that is useful to the user and is generated based on the analyzed emotional state and needs.

[1765] "Internet fraud" refers to all fraudulent activities that take place over the Internet.

[1766] "Phishing" is a type of internet fraud that aims to fraudulently obtain users' personal information.

[1767] "Specific measures" are information that indicates actions and steps that users should take to prevent becoming victims of Internet fraud and phishing scams.

[1768] This invention is a system that assesses the risk of Internet fraud and phishing scams and provides appropriate countermeasures to users. In a specific embodiment of the system, a user, a terminal, and a server work together. The details are described below.

[1769] System Configuration

[1770] 1. User registration and basic settings

[1771] First, users install the application and enter basic information such as their name, email address, and internet usage status. This information is sent to the server via the device and stored in a database.

[1772] 2. Voice Input and Recognition

[1773] The user gives a voice input such as "Is this website safe?" The device uses a microphone to capture the voice data and converts this voice data into text data using voice recognition software (e.g., the speech_recognition library).

[1774] 3. Emotion and Needs Analysis

[1775] The device sends the converted text data to the server, which analyzes it using a natural language processing engine (e.g., the TextBlob library) to identify the user's emotional state and needs.

[1776] 4. Security Assessment

[1777] The server evaluates the likelihood of internet fraud or phishing based on the text data, querying an external fraud database API to perform risk assessment.

[1778] 5. Supporting Information Generation

[1779] The server generates appropriate support information based on the emotional state and the security assessment results. If there is a possibility of fraud, it creates support information including specific countermeasures.

[1780] 6. Providing Support Information

[1781] The generated support information is sent from the server to the device, which then provides it to the user. For example, if there is a possibility of fraud, a message such as "Warning: This content may be fraudulent. Please consider the following measures" will be displayed.

[1782] Hardware and software used

[1783] Microphone: A device used to capture the user's voice.

[1784] Speech recognition software: Uses the speech_recognition library.

[1785] Natural Language Processing Engine: Uses the TextBlob library.

[1786] External API: API for internet fraud database.

[1787] Specific examples

[1788] As a concrete example, consider the case where a user asks, "Is this website safe?" In this case, the speech is converted into text, the server analyzes the text, and performs a security assessment of the website using an external API. Based on the assessment results, if there is a risk of fraud, specific countermeasures are generated as supporting information, and the device notifies the user.

[1789] Prompt Sentence Examples

[1790] "Is it okay to click this link?"

[1791] The above is a specific embodiment for carrying out the present invention. This system makes it possible to quickly and accurately determine the risk of Internet fraud and provide users with appropriate countermeasures.

[1792] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[1793] Step 1:

[1794] The user launches the application and asks verbally, "Is this website safe?"

[1795] Input: User's voice data.

[1796] Output: The captured audio data.

[1797] Specific behavior: The user uses a microphone to provide voice input.

[1798] Step 2:

[1799] The device uses speech recognition software (speech_recognition library) to convert the voice data into text data.

[1800] Input: The audio data obtained in step 1.

[1801] Output: The converted text data.

[1802] Specific operation: The device converts audio captured by the microphone into text using the Google Speech Recognition API.

[1803] Step 3:

[1804] The terminal transmits the text data to the server.

[1805] Input: The text data generated in step 2.

[1806] Output: The text data sent to the server.

[1807] Specific operation: The device sends text data to the server via an HTTP request.

[1808] Step 4:

[1809] The server analyzes the text data using a natural language processing engine (TextBlob library) to identify the user's emotional state and needs.

[1810] Input: The text data sent to the server in step 3.

[1811] Output: Identified emotional states and needs.

[1812] Specific operation: The server uses the TextBlob library to perform sentiment analysis and needs analysis of text data.

[1813] Step 5:

[1814] The server calls the fraud database API to assess the likelihood of internet fraud or phishing based on the text data.

[1815] Input: Text data containing the needs identified in step 4.

[1816] Output: Fraud risk assessment results.

[1817] Specific operation: The server sends the text data to the fraud database API and obtains a risk assessment.

[1818] Step 6:

[1819] The server generates appropriate support information based on the emotional state and the security evaluation results.

[1820] Input: Risk assessment results obtained in step 5 and emotional states and needs identified in step 4.

[1821] Output: The generated supporting information.

[1822] Specific behavior: The server creates support information based on the risk assessment results and the user's emotional state and needs.

[1823] Step 7:

[1824] The server transmits the generated support information to the terminal, which then provides it to the user.

[1825] Input: The supporting information generated in step 6.

[1826] Output: Support information provided to the user.

[1827] Specific operation: The server sends support information to the terminal in an HTTP response, and the terminal displays or audibly conveys it to the user.

[1828] The above are the specific processing steps and their contents of this system.

[1829] 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.

[1830] This invention is a system that uses voice input to provide support tailored to the individual needs and emotional state of busy users who are trying to balance childcare and work. It is particularly notable for its ability to more accurately grasp the user's emotional state by incorporating an emotion engine, allowing it to provide personalized, appropriate support. Below, the program processing of this system is explained in natural language.

[1831] System configuration

[1832] User registration and character selection

[1833] 1. The user installs the application and enters their name, email address, childcare and work status on the registration screen, which collects basic information.

[1834] 2. The device sends the user's registration information to the server. The server stores the received information in a database and sends the character selection screen data to the device.

[1835] 3. The user selects a character from a list and enters customization information (color, clothing, etc.). The device sends this information to the server, which stores the character information in a database.

[1836] Providing daily support

[1837] 1. The user launches the app and speaks out their concerns and condition for the day.

[1838] 2. The device uses voice recognition technology to convert the voice into text data.

[1839] 3. The device sends the converted text data to the server.

[1840] 4. The server passes the received text data to a natural language processing (NLP) engine for content analysis, identifying, for example, concerns about childcare or work stress.

[1841] 5. The server uses the emotion engine to assess the user's emotional state, for example, identifying whether they are stressed or relaxed.

[1842] 6. The server generates appropriate support information based on the analyzed content and emotional state, such as advice on relaxation techniques or information on nearby support facilities.

[1843] 7. If necessary, the server calls external service APIs to obtain relevant service information, such as information on sick child care facilities or contact information for career counseling.

[1844] 8. The server sends the generated support information to the device, which then provides it to the user. The character will offer comforting words or appropriate advice.

[1845] Specific examples

[1846] Example 1: Providing information about childcare facilities for sick children

[1847] 1. The user says, "My child suddenly developed a fever."

[1848] 2. The device converts the speech into text and sends it to the server.

[1849] 3. The server determines that the content is related to "child's illness" and uses the emotion engine to evaluate that the user is feeling anxious.

[1850] 4. The server obtains information about sick child care facilities from the external API and sends the relevant information to the terminal.

[1851] 5. The device will display to the user, "Here are the nearest sick child care facilities," and a character will speak to ease the user's anxiety.

[1852] Example 2: Career planning consultation

[1853] 1. A user says, "I want to go back to work, but I'm nervous."

[1854] 2. The device converts the speech into text and sends it to the server.

[1855] 3. The server analyzes the text and determines that it is a career-related concern. It then uses an emotion engine to assess that the user is feeling anxious.

[1856] 4. The server generates contact information for a career counselor and counseling information and sends it to the terminal.

[1857] 5. The device will ask the user, "Why not talk to an expert?" and a character will deliver a supportive message.

[1858] Effects of implementation

[1859] This system allows users to reduce stress from childcare and work and receive appropriate information and support. A major feature of this system is that it uses an emotion engine to gain a detailed understanding of the user's emotional state and provide more personalized support. This improves the user's quality of life and reduces their mental burden.

[1860] The processing flow will be explained below.

[1861] This invention is a system that uses voice input to provide support tailored to the individual needs and emotional state of busy users who are trying to balance work and childcare. In particular, by combining it with an emotion engine, it is possible to more accurately grasp the user's emotional state and provide appropriate personalized support.

[1862] User registration and character selection

[1863] Step 1:

[1864] Users install the application and enter their name, email address, and childcare and work status on the registration screen, which collects basic information.

[1865] Step 2:

[1866] The device sends the user's registration information to the server. The server stores the received information in a database and sends the character selection screen data to the device.

[1867] Step 3:

[1868] The user selects a character from a list and enters customization information (color, clothing, etc.). The device sends this information to the server, which then stores the character information in a database.

[1869] Providing daily support

[1870] Step 4:

[1871] The user launches the app and speaks out their concerns and condition for the day.

[1872] Step 5:

[1873] The device uses voice recognition technology to convert the voice into text data.

[1874] Step 6:

[1875] The terminal transmits the converted text data to the server.

[1876] Step 7:

[1877] The server passes the received text data to a natural language processing (NLP) engine, which analyzes the content and identifies, for example, concerns about child-rearing or work stress.

[1878] Step 8:

[1879] The server uses an emotion engine to assess the user's emotional state, for example, to identify emotional states such as stressed or relaxed.

[1880] Step 9:

[1881] The server generates appropriate support information based on the analyzed content and emotional state, such as advice on relaxation techniques or information on nearby support facilities.

[1882] Step 10:

[1883] If necessary, the server calls external service APIs to obtain related service information, such as information on sick child care facilities or contact information for career counseling.

[1884] Step 11:

[1885] The server generates support information and sends it to the device, which then provides it to the user. Characters offer comforting words and appropriate advice.

[1886] Specific examples

[1887] Example 1: Providing information about childcare facilities for sick children

[1888] Step 1:

[1889] The user says, "My child suddenly developed a fever."

[1890] Step 2:

[1891] The device converts the speech into text and sends it to the server.

[1892] Step 3:

[1893] The server determines that the content is related to "child's illness" and uses an emotion engine to evaluate that the user is feeling anxious.

[1894] Step 4:

[1895] The server obtains information about sick child care facilities from an external API and sends the relevant information to the terminal.

[1896] Step 5:

[1897] The device will tell the user, "Here are the nearest sick child care facilities," and a character will speak to ease their anxiety.

[1898] Example 2: Career planning consultation

[1899] Step 1:

[1900] A user says, "I want to go back to work, but I'm nervous."

[1901] Step 2:

[1902] The device converts the speech into text and sends it to the server.

[1903] Step 3:

[1904] The server analyzes the text and determines that it is a career concern. It then uses an emotion engine to assess that the user is feeling anxious.

[1905] Step 4:

[1906] The server generates contact information for a career counselor and counseling information and transmits it to the terminal.

[1907] Step 5:

[1908] The device will ask the user, "Why not try talking to an expert?" and a character will deliver a supportive message.

[1909] Effects of implementation

[1910] This system allows users to reduce stress from childcare and work and receive appropriate information and support. A major feature of this system is that it uses an emotion engine to gain a detailed understanding of the user's emotional state and provide more personalized support. This improves the user's quality of life and reduces their mental burden.

[1911] Example 2

[1912] 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."

[1913] In modern society, an increasing number of users are busy balancing work and childcare responsibilities. However, these users are prone to stress and often find it difficult to receive appropriate support. Conventional systems have struggled to provide personalized support by gaining a detailed understanding of users' emotional state and current needs. Furthermore, they lack the functionality to timely obtain and provide information about external services to users. This has led to issues such as a decline in users' quality of life and an increase in their mental burden.

[1914] The specific processing by the specific processing unit 290 of the data processing device 12 in the second embodiment is realized by the following means.

[1915] In this invention, the server includes means for converting information input by the user in voice form into text data, means for analyzing the text data using natural language processing to identify the user's emotional state and needs, and means for generating appropriate support information based on the identified emotional state and needs, thereby enabling the user to quickly receive personalized support according to their own emotional state and needs.

[1916] "Users" refer to people who are trying to balance childcare and work and who use this system to receive support.

[1917] "Terminal" refers to an electronic device used by a user, such as a computer, smartphone, or tablet.

[1918] A "server" refers to a central processing unit that receives a request from a user, processes it, and then returns a response.

[1919] "Text data" refers to data that is the result of voice input converted by voice recognition technology and is expressed in the form of a string of characters.

[1920] "Natural language processing" refers to technology for analyzing text data and understanding its meaning and emotional state.

[1921] "Emotional state" refers to the type and intensity of the emotion the user is feeling, and represents states such as stress, anxiety, happiness, etc.

[1922] "Needs" refers to the user's current requirements and the support they require.

[1923] "Support information" refers to advice and information generated based on the user's emotional state and needs.

[1924] "Character" refers to a virtual person or animal within the system that can be selected and customized by the user.

[1925] "Customization information" refers to data that a user inputs when customizing a character's appearance, clothing, etc.

[1926] "External service information" refers to information about related services and facilities that the system obtains through external APIs.

[1927] This invention is a system that uses voice input to provide support tailored to the individual needs and emotional state of users who are busy balancing work and childcare. The system is mainly composed of three elements: a server, a terminal, and a user.

[1928] First, the user installs the application on their device. When the application is launched for the first time, a registration screen appears, and the user enters basic information such as their name, email address, and childcare and work status. This creates a user profile. The device sends the entered information to the server, which stores the information in a database. Next, the user selects their preferred character on the character selection screen and enters customization information. This customization information is also sent from the device to the server and stored in the database.

[1929] Daily support begins when the user launches the app and speaks to describe their concerns or condition. Specifically, they speak prompts such as "I'm feeling stressed at work" or "My child has suddenly developed a fever." The device converts the speech into text using speech recognition software such as Google Cloud Speech-to-Text or IBM Watson Speech to Text. The converted text is then sent from the device to a server.

[1930] The server passes the received text data to a natural language processing (NLP) engine (for example, Python's NLTK library or spaCy) for analysis. The purpose of the analysis is to identify the user's concerns and state from the text data. Next, an emotion engine (such as Microsoft Azure Text Analytics or Amazon Comprehend) is used to evaluate the user's emotional state. For example, emotions such as "high stress" or "anxiety" are identified.

[1931] Based on the analysis results and the user's emotional state, the server generates appropriate support information. For example, it provides advice on stress relief or information on nearby relaxation facilities. If necessary, it calls external service APIs (such as the Google Places API or LinkedIn API) to obtain related service information. This obtained information also becomes part of the support information provided to the user.

[1932] Finally, the server sends the generated support information to the device, which then provides it to the user. The method of providing the information includes via a designated character. For example, the character guides the user by saying soothing words, such as, "Here is the nearest sick child care facility."

[1933] This system allows users to easily communicate their concerns and state of mind using only voice input, and receive appropriate support based on their emotional state. The combination of the emotion engine and external APIs enables personalized support tailored to the individual needs of users, reducing stress in childcare and work.

[1934] Prompt Sentence Examples

[1935] "I'm under a lot of stress from work"

[1936] "My child suddenly developed a fever"

[1937] The flow of the identification process in the second embodiment will be described with reference to FIG.

[1938] Program processing flow

[1939] Step 1:

[1940] A user installs the application and enters their name, email address, parental and work status into a registration screen. This information is the basic data that forms the user's profile.

[1941] Input: User's name, email address, childcare and work status

[1942] Data processing / calculation: Formatting input information and converting it into a form that can be communicated

[1943] Output: Formatted user information

[1944] Step 2:

[1945] The device sends the user information entered on the registration screen to the server using an HTTP POST request.

[1946] Input: Formatted user information

[1947] Data processing / calculation: Include user information in HTTP requests

[1948] Output: Request sent to server

[1949] Step 3:

[1950] The server stores the received user information in a database, which can be managed using a database management system such as MySQL or PostgreSQL.

[1951] Input: User information sent to the server

[1952] Data processing / calculation: User information is inserted into the database as an SQL query

[1953] Output: User information stored in the database

[1954] Step 4:

[1955] The server sends the character selection screen data to the device, including the character list.

[1956] Input: Character information in the database

[1957] Data processing / calculation: Convert character information into JSON format

[1958] Output: Sending character selection screen data to the device

[1959] Step 5:

[1960] The user selects a character of their choice on the character selection screen and enters customization information. They select "Mike the Cat," set the color to "pink," and set the outfit to "dress with ribbon."

[1961] Input: User's character selection and customization information

[1962] Data Processing / Calculation: Select and customize information format

[1963] Output: Formatted character information

[1964] Step 6:

[1965] The device sends the character information to the server, again using an HTTP POST request.

[1966] Input: Formatted character information

[1967] Data processing / calculation: Include character information in HTTP requests

[1968] Output: Request sent to server

[1969] Step 7:

[1970] The server stores the received character information in a database.

[1971] Input: Character information sent to the server

[1972] Data processing / calculation: Insert character information into the database as an SQL query

[1973] Output: Character information stored in the database

[1974] Providing daily support

[1975] Step 1:

[1976] The user launches the app and speaks, "I'm feeling stressed at work."

[1977] Input: User's voice prompt

[1978] Output: Audio data

[1979] Step 2:

[1980] The device uses voice recognition software (e.g., Google Cloud Speech-to-Text) to convert the voice data into text data.

[1981] Input: Audio data

[1982] Data processing / computation: Analysis of voice data and conversion to text

[1983] Output: Text data "I'm stressed out at work"

[1984] Step 3:

[1985] The terminal sends the converted text data to the server using an HTTP POST request.

[1986] Input: Text data

[1987] Data processing / calculation: Include text data in the HTTP request

[1988] Output: Request sent to server

[1989] Step 4:

[1990] The server passes the received text data to a natural language processing engine (such as spaCy) for analysis, and extracts keywords such as "work" and "stress" from the text data.

[1991] Input: Text data

[1992] Data processing / calculation: Keyword extraction and content analysis

[1993] Output: Analysis results (e.g., "Work" and "Stress")

[1994] Step 5:

[1995] The server uses an emotion engine (e.g., Microsoft Azure Text Analytics) to assess the user's emotional state and quantify their stress level.

[1996] Input: Analysis results

[1997] Data processing / computation: Emotion analysis and stress level assessment

[1998] Output: Emotional state (e.g. high stress level)

[1999] Step 6:

[2000] The server generates appropriate support information, for example, advice on stress relief and information on relaxation facilities.

[2001] Input: Emotional state and analysis results

[2002] Data processing / calculation: generating supporting information and calling external APIs

[2003] Output: Generated support information (e.g., relaxation methods)

[2004] Step 7:

[2005] The server transmits the generated support information to the terminal.

[2006] Input: Generated support information

[2007] Data processing / calculation: formatting information and preparing it for transmission

[2008] Output: Send support information to the device

[2009] Step 8:

[2010] The device provides support information to the user, with characters displaying messages such as "Take a deep breath" and providing information on relaxation facilities.

[2011] Input: Support Information

[2012] Data processing / calculation: Information display and character animation control

[2013] Output: Provide information to the user

[2014] (Application example 2)

[2015] 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."

[2016] There is a need for ways to reduce the stress and anxiety experienced by employees who are raising children while balancing work and childcare. Particularly in workplaces such as retail, there are limited ways to receive appropriate support and advice immediately, which can have a negative impact on employees' mental and physical health and work efficiency. This issue can be resolved by utilizing voice input and emotion recognition to quickly provide support information tailored to individual needs.

[2017] The identification process by the identification processing unit 290 of the data processing device 12 in Application Example 2 is realized by the following means. In this invention, the server includes means for converting information input in voice format by the user into text data, means for analyzing the text data using natural language processing and identifying the user's emotional state and needs, and means for generating appropriate support information based on the identified emotional state and needs. This enables store employees to receive appropriate support through voice input and emotion recognition using their smart devices.

[2018] "User" includes store employees and customers who use the system.

[2019] "Voice format" refers to the audio signals that a user uses to speak to the system.

[2020] "Text data" refers to data in which information input in voice format is expressed as a string of characters.

[2021] "Natural language processing" is a technology that allows computers to understand and analyze human language.

[2022] "Emotional state" refers to the user's current psychological state, and includes, for example, stress or relaxation.

[2023] "Needs" refers to the user's current requests for support or information.

[2024] "Support information" is advice or information that is generated based on the user's emotional state and needs.

[2025] "Smart device" refers to a portable electronic device that can connect to the Internet, such as a smartphone or smart glasses.

[2026] "Store employees" refers to staff and clerks working at a particular store.

[2027] The present invention provides a support system based on voice input and emotion recognition for reducing stress and anxiety experienced by employees who are raising children while balancing work and childcare. An embodiment of the system will be described in detail below.

[2028] System configuration

[2029] User registration and profile settings

[2030] First, a store employee (hereinafter referred to as "user") installs the application on their smart device and enters basic information, including their name, email address, and childcare and work status. Next, the user selects a character offered within the application and sets customization information (such as color and clothing). All registration and customization information is sent to the server and stored in a database.

[2031] Providing daily support

[2032] 1. The user launches the application and speaks about their concerns and condition in voice form. This voice input is done through the microphone of the smart device.

[2033] 2. The device uses speech recognition technology (for example, Google Cloud Speech-to-Text API) to convert the speech into text data.

[2034] 3. The converted text data is sent to the server, where a natural language processing engine (e.g., SpaCy) analyzes the text.

[2035] 4. The server uses an emotion engine (e.g., IBM Watson Tone Analyzer) to assess the user's emotional state and identify whether they are stressed or relaxed.

[2036] 5. The server generates appropriate support information based on the analyzed content and emotional state. If necessary, it can also obtain additional information from external service APIs.

[2037] 6. Finally, the generated support information is sent to the terminal and provided to the user through the character.

[2038] Hardware and software used

[2039] Speech Recognition Software: Google Cloud Speech-to-Text API is used to accurately convert user voice input into text data.

[2040] Natural language processing engine: SpaCy is used to analyze text data and identify user concerns and questions.

[2041] Emotion engine: IBM Watson Tone Analyzer is used to assess the user's emotional state and tailor the support information provided.

[2042] Database: Firebase Realtime Database stores user registration information and character information.

[2043] Specific examples

[2044] Example 1: Stress management

[2045] 1. A user says, "I'm feeling stressed at work. Please tell me how to relax."

[2046] 2. The device converts the speech into text and sends it to the server.

[2047] 3. The server analyzes the text and evaluates it as stress-related and high stress using the emotion engine.

[2048] 4. The server generates stress management advice, such as "Take a deep breath and relax."

[2049] 5. The device conveys advice to the user through the character.

[2050] Prompt Sentence Examples

[2051] "I'm feeling stressed at work. Tell me how to relax."

[2052] "My child is unwell. Can you give me information about support facilities?"

[2053] In this way, users can effectively manage the stress of childcare and work and enjoy a higher quality of life.

[2054] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[2055] Step 1:

[2056] A user installs the application on their smart device and enters basic information, including their name, email address, and childcare and work status. This creates a basic user profile. They then select a customized character and configure settings such as color and clothing. This information is sent from the device to the server and stored in the Firebase Realtime Database.

[2057] Step 2:

[2058] The user launches the application and speaks about their concerns and state of mind. Voice input is performed through the smart device's microphone. The voice is input in audio format, which activates the device's voice recognition software. The voice recognition software used is the Google Cloud Speech-to-Text API, which converts the voice data into text data.

[2059] Input: User's voice

[2060] Output: Text data

[2061] Step 3:

[2062] The device sends the converted text data to the server. The server then passes the received text data to a natural language processing engine (SpaCy) for content analysis. Natural language processing extracts important information and keywords from the text data and classifies them into specific contexts.

[2063] Input: Text data

[2064] Output: Parsed text data (including keywords and needs)

[2065] Step 4:

[2066] The server passes the parsed text data to an emotion engine (IBM Watson Tone Analyzer) to evaluate the user's emotions, for example, to determine whether the user is stressed or relaxed. In this process, the emotional tone of the text data is analyzed and a result is generated.

[2067] Input: Parsed text data

[2068] Output: Emotional state (stressed, high stress, relaxed, etc.)

[2069] Step 5:

[2070] The server generates appropriate support information based on the analyzed content and emotional state. For example, it provides relaxation advice to a user experiencing high stress, and information on nearby support facilities to a user with childcare concerns. If necessary, it obtains additional information from external service APIs (e.g., a childcare service information provider API).

[2071] Input: Parsed content, emotional state

[2072] Output: Supporting information

[2073] Step 6:

[2074] The server sends the generated support information to the device. The device then provides the received support information to the user, and the character displays an appropriate message. There is also a function to provide voice advice as needed. This allows users to receive support based on their individual needs.

[2075] Input: Support Information

[2076] Output: Visual and audio advice

[2077] In this way, users can effectively manage their daily stress and worries and receive support in balancing work and childcare responsibilities.

[2078] 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.

[2079] 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.

[2080] 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.

[2081] 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.

[2082] 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.

[2083] 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.

[2084] 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).

[2085] 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.

[2086] 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."

[2087] 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.

[2088] 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).

[2089] 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.

[2090] 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.

[2091] 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.

[2092] 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.

[2093] 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.

[2094] 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.

[2095] 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.

[2096] 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.

[2097] 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.

[2098] 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.

[2099] The following is further disclosed regarding the above embodiment.

[2100] (Claim 1)

[2101] means for converting information input by a user in voice format into text data;

[2102] means for analyzing the text data using natural language processing to identify the user's emotional state and needs;

[2103] means for generating appropriate support information based on the identified emotional state and needs;

[2104] means for providing the generated support information to a user;

[2105] A system including:

[2106] (Claim 2)

[2107] 10. The system of claim 1, further comprising: means for providing the support information to the user via a designated character.

[2108] (Claim 3)

[2109] 2. The system according to claim 1, further comprising means for searching for external service information according to the needs of the user and providing the search results to the user as support information.

[2110] "Example 1"

[2111] (Claim 1)

[2112] means for converting information input by a user in voice format into text data;

[2113] means for analyzing the text data using natural language processing to identify the user's emotional state and needs;

[2114] means for generating appropriate support information based on the identified emotional state and needs;

[2115] means for providing the generated support information to a user;

[2116] a means for storing and managing customization information associated with a user-selected character;

[2117] A means for storing user registration information and character information in a database;

[2118] A system including:

[2119] (Claim 2)

[2120] 10. The system of claim 1, further comprising: means for providing the support information to the user via a designated character.

[2121] (Claim 3)

[2122] 2. The system according to claim 1, further comprising means for searching for external service information according to the needs of the user and providing the search results to the user as support information.

[2123] "Application Example 1"

[2124] (Claim 1)

[2125] means for converting information input by a user in voice format into text data;

[2126] means for analyzing the text data using natural language processing to identify the user's emotional state and needs;

[2127] means for generating appropriate support information based on the identified emotional state and needs;

[2128] means for providing the generated support information to a user;

[2129] How to determine whether you are experiencing Internet fraud or phishing;

[2130] means for generating and providing specific countermeasures to users in the event of possible fraud;

[2131] A system including:

[2132] (Claim 2)

[2133] 10. The system of claim 1, further comprising: means for providing the support information to the user via a designated character.

[2134] (Claim 3)

[2135] 2. The system according to claim 1, further comprising means for searching for external service information according to the needs of the user and providing the search results to the user as support information.

[2136] "Example 2: Combining Emotion Engines"

[2137] (Claim 1)

[2138] means for converting information input by a user in voice format into text data;

[2139] means for analyzing the text data using natural language processing to identify the user's emotional state and needs;

[2140] means for generating appropriate support information based on the identified emotional state and needs;

[2141] means for providing the generated support information to a user;

[2142] A means for users to register their name, email address, childcare and work status when they first start the app, and store the user information in a database;

[2143] The system includes a means for a user to select a character and register customization information.

[2144] (Claim 2)

[2145] 10. The system of claim 1, further comprising: means for providing the support information to the user via a designated character.

[2146] (Claim 3)

[2147] 2. The system according to claim 1, further comprising means for searching for external service information according to the needs of the user and providing the search results as support information.

[2148] "Application example 2 when combining emotion engines"

[2149] (Claim 1)

[2150] means for converting information input by a user in voice format into text data;

[2151] means for analyzing the text data using natural language processing to identify the user's emotional state and needs;

[2152] means for generating appropriate support information based on the identified emotional state and needs;

[2153] means for providing the generated support information to a user;

[2154] A means for store employees to use smart devices to receive appropriate support through voice input and emotion recognition;

[2155] A system including:

[2156] (Claim 2)

[2157] 10. The system of claim 1, wherein the support information is provided to the user via a designated character.

[2158] (Claim 3)

[2159] 2. The system according to claim 1, wherein external service information is searched for in accordance with the user's needs, and the search results are provided to the user as support information. [Explanation of symbols]

[2160] 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 converting information input by a user in voice format into text data; means for analyzing the text data using natural language processing to identify the user's emotional state and needs; means for generating appropriate support information based on the identified emotional state and needs; means for providing the generated support information to a user; A system including:

2. 2. The system of claim 1, further comprising means for providing the support information to the user via a designated character.

3. 2. The system according to claim 1, further comprising means for searching for external service information according to the needs of the user and providing the search results to the user as support information.

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