system

Abstract

We provide the system. [Solution] Means for obtaining user profile data, A means for determining the user's age group based on the aforementioned profile data, A means for selecting a talk script template corresponding to the aforementioned age group, Means for customizing the talk script template based on the profile data, A system that includes means for sending customized talk scripts to a user's terminal.

Description

Technical Field

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

Background Art

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

Prior Art Documents

Patent Documents

[0003]

Patent Document 1

Summary of the Invention

Problems to be Solved by the Invention

[0004] In a conventional communication system, it has been difficult to provide a dialogue that appropriately takes into account the age and interests of a user. For this reason, it has been impossible to provide a conversation script optimized for each individual user, and the quality of the dialogue has often been low. In addition, it has been difficult to attract the interest of a user with a general-purpose conversation script, and as a result, there has been a problem of deteriorating the quality of the user experience.

Means for Solving the Problems

[0005] This invention proposes a system that provides a user-optimized talk script by acquiring user profile data, selecting an appropriate talk script template based on age group, and further customizing it using personalized data such as the user's occupation, interests, and region. This improves the quality of interaction with the user and realizes a better user experience. The system includes means for determining the user's age group based on profile data, means for selecting a talk script template, means for customizing the talk script based on personalized data, and means for transmitting the customized talk script to the user's terminal.

[0006] "Profile data" refers to personal information and attribute data about a user, including date of birth, age, occupation, interests, and location.

[0007] "Age group" refers to a group of users belonging to a specific age range, such as "30-40 years old" or "45-55 years old."

[0008] A "talk script template" is a set of pre-written texts that include the basic flow and topics of a conversation, and is optimized for a specific age group or situation.

[0009] "Customization" refers to the process of individually adjusting and modifying a general template based on the user's specific attributes (occupation, interests, location, etc.).

[0010] "User terminal" refers to a device that the user directly operates, and this includes smartphones, PCs, tablets, and other similar devices.

[0011] "Means of transmission" refers to the functions and protocols used to send customized talk scripts to the user's device.

[0012] "System" refers to a collection of related functions with a specific purpose, and in this invention, it includes a series of processes for providing a talk script optimized for the user. [Brief explanation of the drawing]

[0013] [Figure 1] This is a conceptual diagram showing an example of the configuration of a data processing system according to the first embodiment. [Figure 2] This is a conceptual diagram showing an example of the essential functions of a data processing device and a smart device according to the first embodiment. [Figure 3] This is a conceptual diagram showing an example of the configuration of a data processing system according to the second embodiment. [Figure 4] This is a conceptual diagram showing an example of the main functions of a data processing device and smart glasses according to the second embodiment. [Figure 5] This is a conceptual diagram showing an example of the configuration of a data processing system according to the third embodiment. [Figure 6] This is a conceptual diagram showing an example of the main functions of a data processing device and a headset-type terminal according to the third embodiment. [Figure 7] This is a conceptual diagram showing an example of the configuration of a data processing system according to the fourth embodiment. [Figure 8] This is a conceptual diagram showing an example of the main functions of a data processing device and a robot according to the fourth embodiment. [Figure 9] This shows an emotion map where multiple emotions are mapped. [Figure 10] This shows an emotion map where multiple emotions are mapped. [Figure 11] This is a sequence diagram showing the processing flow of the data processing system in Example 1. [Figure 12] This is a sequence diagram showing the processing flow of the data processing system in Application Example 1. [Figure 13] This is a sequence diagram showing the processing flow of the data processing system in Example 2, which incorporates an emotion engine. [Figure 14]It is a sequence diagram showing the processing flow of a data processing system in Application Example 2 when a sentiment engine is combined.

Mode for Carrying Out the Invention

[0014] Hereinafter, an example of an embodiment of a system according to the technology of the present disclosure will be described with reference to the accompanying drawings.

[0015] First, the terms used in the following description will be explained.

[0016] In the following embodiments, a numbered processor (hereinafter simply referred to as "processor") may be a single arithmetic unit or a combination of multiple arithmetic units. Also, the processor may be a single type of arithmetic unit or a combination of multiple types of arithmetic units. Examples of arithmetic units include a CPU (Central Processing Unit), a GPU (Graphics Processing Unit), a GPGPU (General-Purpose computing on Graphics Processing Units), an APU (Accelerated Processing Unit), and the like.

[0017] In the following embodiments, a numbered RAM (Random Access Memory) is a memory in which information is temporarily stored and is used as a work memory by the processor.

[0018] In the following embodiments, a numbered storage is one or more non-volatile storage devices that store various programs and various parameters and the like. Examples of non-volatile storage devices include flash memory (SSD (Solid State Drive)), magnetic disks (e.g., hard disks), or magnetic tapes, and the like.

[0019] In the following embodiments, the signed communication interface (I / F) is an interface that includes a communication processor and an antenna, etc. The communication interface manages communication between multiple computers. Examples of communication standards applicable to the communication interface include wireless communication standards such as 5G (5th Generation Mobile Communication System), Wi-Fi (registered trademark), or Bluetooth (registered trademark).

[0020] In the following embodiments, "A and / or B" is synonymous with "at least one of A and B." That is, "A and / or B" means that it may be A alone, or B alone, or a combination of A and B. Furthermore, in this specification, the same concept as "A and / or B" applies when expressing three or more things linked by "and / or."

[0021] [First Embodiment]

[0022] Figure 1 shows an example of the configuration of the data processing system 10 according to the first embodiment.

[0023] As shown in Figure 1, the data processing system 10 includes a data processing device 12 and a smart device 14. An example of the data processing device 12 is a server.

[0024] The data processing device 12 comprises a computer 22, a database 24, and a communication interface 26. The computer 22 is an example of a "computer" related to the technology of this disclosure. The computer 22 comprises a processor 28, RAM 30, and storage 32. The processor 28, RAM 30, and storage 32 are connected to a bus 34. The database 24 and the communication interface 26 are also connected to the bus 34. The communication interface 26 is connected to a network 54. An example of the network 54 is a WAN (Wide Area Network) and / or a LAN (Local Area Network).

[0025] The smart device 14 comprises a computer 36, a reception device 38, an output device 40, a camera 42, and a communication interface 44. The computer 36 comprises a processor 46, RAM 48, and storage 50. The processor 46, RAM 48, and storage 50 are connected to a bus 52. The reception device 38, output device 40, and camera 42 are also connected to the bus 52.

[0026] The reception device 38 is equipped with a touch panel 38A and a microphone 38B, etc., and receives user input. The touch panel 38A receives user input by detecting contact with an object (e.g., a pen or finger). The microphone 38B receives user input by detecting the user's voice. The control unit 46A transmits data indicating the user input received by the touch panel 38A and microphone 38B to the data processing device 12. In the data processing device 12, the specific processing unit 290 acquires the data indicating the user input.

[0027] The output device 40 includes a display 40A and a speaker 40B, and presents data to the user 20 by outputting the data in a form perceptible to the user 20 (e.g., audio and / or text). The display 40A displays visible information such as text and images according to instructions from the processor 46. The speaker 40B outputs audio according to instructions from the processor 46. The camera 42 is a small digital camera equipped with an optical system such as a lens, aperture, and shutter, and an image sensor such as a CMOS (Complementary Metal-Oxide-Semiconductor) image sensor or a CCD (Charge Coupled Device) image sensor.

[0028] Communication interface 44 is connected to network 54. Communication interfaces 44 and 26 are responsible for the exchange of various types of information between processor 46 and processor 28 via network 54.

[0029] Figure 2 shows an example of the main functions of the data processing device 12 and the smart device 14.

[0030] As shown in Figure 2, in the data processing device 12, a specific processing is performed by the processor 28. A specific processing program 56 is stored in the storage 32. The specific processing program 56 is an example of a "program" related to the technology of this disclosure. The processor 28 reads the specific processing program 56 from the storage 32 and executes the read specific processing program 56 on the RAM 30. The specific processing is realized by the processor 28 operating as a specific processing unit 290 according to the specific processing program 56 executed on the RAM 30.

[0031] The storage 32 stores the data generation model 58 and the emotion identification model 59. The data generation model 58 and the emotion identification model 59 are used by the identification processing unit 290.

[0032] In the smart device 14, the processor 46 performs the reception output processing. The storage 50 stores the reception output program 60. The reception output program 60 is used in conjunction with a specific processing program 56 by the data processing system 10. The processor 46 reads the reception output program 60 from the storage 50 and executes the read reception output program 60 on the RAM 48. The reception output processing is realized by the processor 46 operating as a control unit 46A according to the reception output program 60 executed on the RAM 48.

[0033] Next, the specific processing performed by the specific processing unit 290 of the data processing device 12 will be described. In the following description, the data processing device 12 will be referred to as the "server" and the smart device 14 as the "terminal".

[0034] This invention is a system that provides optimal talk scripts tailored to the user's age and interests. This system consists of three main elements: a server, a terminal, and the user.

[0035] Overall System Overview

[0036] The server is responsible for retrieving user profile data, determining age group, selecting a talk script template, and further customizing it using personalized data. The customized talk script is then sent to the user's device.

[0037] The terminal displays the talk script received from the server to the user, allowing the user to begin a conversation. It also sends the user's responses and actions to the server in real time, enabling the server to generate new talk scenarios based on this information.

[0038] Users engage in conversations based on talk scripts provided through their devices. This enables information provision and communication optimized to individual needs.

[0039] Explanation of the program's processing details

[0040] 1. Data acquisition and storage:

[0041] When a user logs into the application, the server retrieves the user's profile data from the database. This profile data includes the user's date of birth, age, occupation, interests, and location.

[0042] 2. Determining the age group:

[0043] The server determines the user's age group based on the acquired date of birth and age information. For example, if a user is 45 years old, they will be classified into the "45-55" age group.

[0044] 3. Selection of a talk script template:

[0045] The server selects a talk script template from its library that corresponds to the determined age group. This template contains dialogue content optimized for that age group.

[0046] 4. Customizing the talk script:

[0047] The server uses personalized data such as the user's occupation, interests, and location to customize the selected talk script template. For example, if the user is an IT engineer and interested in music, topics related to "recent AI technologies" and "music trends" will be added to the talk script.

[0048] 5. Sending and displaying talk scripts:

[0049] The customized talk script is sent from the server to the user's device. The device then displays the received talk script to the user in text or audio format.

[0050] 6. Conducting dialogue:

[0051] The user initiates a conversation based on the displayed talk script. The server monitors the user's conversation and actions in real time, using this information as a reference when generating new talk scripts.

[0052] Explanation of specific examples

[0053] Let's take the example of Mr. Tanaka (45 years old, living in Tokyo, IT engineer) logging into the app.

[0054] Data acquisition:

[0055] The server retrieves Tanaka's profile data (age 45, IT engineer, interested in music, lives in Tokyo) from the database.

[0056] Age group determination:

[0057] The server classifies Mr. Tanaka into the "45-55 years old" age group based on his age.

[0058] Talk script selection:

[0059] The server selects a talk script template for "45-55 year olds" from its library.

[0060] Talk script customization:

[0061] The server takes Tanaka's profession and interests into consideration and customizes the talk script by adding topics related to "recent AI technology" and "music trends."

[0062] Sending and displaying the talk script:

[0063] The customized talk script is sent to Tanaka's smartphone, where he receives it as text.

[0064] Conduct a dialogue:

[0065] Based on the displayed information, Ms. Tanaka begins a conversation by saying, "It's a nice day today, isn't it? Are you surprised by the recent advancements in AI technology?"

[0066] In this way, the system can provide optimal interactions tailored to the user's attributes.

[0067] The following describes the processing flow.

[0068] Step 1:

[0069] The user logs into the application. The device sends the login information to the server.

[0070] Step 2:

[0071] The server retrieves profile data from the database based on the user's login information. This profile data includes the user's date of birth, age, occupation, interests, and region.

[0072] Step 3:

[0073] The server analyzes the acquired profile data and determines the user's age group based on their actual age. For example, if a user is 45 years old, they will be classified into the "45-55" age group.

[0074] Step 4:

[0075] The server selects a talk script template from its library that corresponds to the determined age group. For example, it might select a talk script template for "ages 45-55".

[0076] Step 5:

[0077] The server customizes selected talk script templates based on the user's other profile data (occupation, interests, location, etc.). For example, if the user is an IT engineer and interested in music, topics related to "recent AI technologies" and "music trends" will be added to the talk script.

[0078] Step 6:

[0079] The server sends a customized talk script to the user's device.

[0080] Step 7:

[0081] The device displays the received talk script to the user. For example, it may be displayed in text format or audio format.

[0082] Step 8:

[0083] The user initiates a conversation based on the displayed talk script. For example, the conversation might start with something like, "It's a nice day today. Are you amazed by the recent advancements in AI technology?"

[0084] Step 9:

[0085] The server monitors the user's conversation in real time and generates new talk scenarios as needed. These generated talk scripts are also customized and sent to the user's device.

[0086] (Example 1)

[0087] Next, we will describe Example 1. In the following description, the data processing device 12 will be referred to as the "server," and the smart device 14 will be referred to as the "terminal."

[0088] Traditional systems struggled to provide personalized conversations for each user, resulting in inconsistent conversation quality and user experience. Furthermore, providing more personalized conversations by reflecting user responses and actions in real time was also a challenge.

[0089] The identification process performed by the identification processing unit 290 of the data processing device 12 in Example 1 is realized by the following means.

[0090] In this invention, the server includes means for acquiring user profile data, means for determining age group, means for selecting a talk script template, means for customizing the talk script template, means for sending the customized talk script to the user terminal, and means for monitoring user responses and actions in real time and generating a new talk script based on feedback. This makes it possible to provide optimized dialogue content based on the user's profile data in real time.

[0091] "Profile data" refers to information that includes individual characteristics of the user, such as age, occupation, interests, and region.

[0092] "Age group" refers to a specific age range that is categorized based on the user's age.

[0093] A "talk script template" refers to a general-purpose dialogue framework created based on a specific age group or interests.

[0094] "Customization" refers to the process of adapting selected talk script templates to individual users based on their profile data.

[0095] "User terminal" refers to devices such as smartphones and personal computers used by the user.

[0096] "Real-time monitoring" refers to the immediate observation of user responses and actions, and the immediate processing of necessary data.

[0097] "Feedback" refers to guidelines for system modifications and optimizations based on information obtained from user responses and actions.

[0098] A "talk script" refers to the dialogue content and messages provided by the system.

[0099] Modes for carrying out the invention

[0100] This invention is a system that provides optimal talk scripts tailored to the user's age and interests. This system consists of three main elements: a server, a terminal, and the user.

[0101] The server is responsible for retrieving user profile data, determining age group, selecting a talk script template, and further customizing it using personalized data. The customized talk script is then sent to the user's device.

[0102] The terminal displays the talk script received from the server to the user, allowing the user to begin a conversation. It also sends the user's responses and actions to the server in real time, enabling the server to generate a new talk script based on this information.

[0103] Users engage in conversations based on talk scripts provided through their devices. This enables information provision and communication optimized to individual needs.

[0104] Hardware and software to be used

[0105] Server: Includes infrastructure connected to a high-performance database. Processing takes place on cloud platforms such as AWS® or Google® Cloud.

[0106] Device: A user's device, such as a smartphone or personal computer. This includes iOS, Android®, Windows, and macOS®.

[0107] Generative AI model: An AI model used to generate talk scripts. Examples include OpenAI's GPT-3 and Google's BERT.

[0108] Specific example

[0109] The following is a specific example from Mr. Tanaka (45 years old, living in Tokyo, IT engineer).

[0110] 1. User login:

[0111] Mr. Tanaka enters his user ID and password into the application and logs in.

[0112] 2. Obtaining profile data:

[0113] After confirming Tanaka's login, the server retrieves Tanaka's profile data (age 45, IT engineer, interested in music, lives in Tokyo) from the database.

[0114] 3. Determining the age group:

[0115] Based on the date of birth and age information obtained, the server classifies Ms. Tanaka into the "45-55 years old" age group.

[0116] 4. Selection of a talk script template:

[0117] The server selects a talk script template for "45-55 year olds" from its library.

[0118] 5. Customizing the talk script:

[0119] The server takes Tanaka's profession and interests into consideration and customizes the talk script by adding topics related to "recent AI technology" and "music trends."

[0120] 6. Send the talk script:

[0121] The customized talk script will be sent to Ms. Tanaka's smartphone.

[0122] 7. Display the talk script:

[0123] Tanaka's smartphone displays the received talk script in text format.

[0124] 8. Initiating the dialogue and providing real-time feedback:

[0125] Based on the displayed talk script, Ms. Tanaka begins a conversation with phrases like, "It's a nice day today, isn't it? Are you surprised by the recent advancements in AI technology?" While Ms. Tanaka is having the conversation, her smartphone sends the content of the conversation to the server in real time. The server uses this information to improve the next talk script provided, enhancing Ms. Tanaka's conversational experience.

[0126] Example of a prompt

[0127] The prompt text to input into the generative AI model is as follows:

[0128] User profile information:

[0129] Age: 45

[0130] Occupation: IT Engineer

[0131] Interests: Music

[0132] Region: Tokyo

[0133] Select a template to generate an appropriate talk script, and create a talk script that meets the following conditions:

[0134] 1. Recent topics related to AI technology

[0135] 2. Topics related to music trends

[0136] As described above, the present invention makes it possible to provide optimal dialogue tailored to the user's attributes.

[0137] The flow of the specific processing in Example 1 will be explained using Figure 11.

[0138] Step 1:

[0139] User login

[0140] The user enters their user ID and password in the application to log in.

[0141] Input: User ID and password.

[0142] Output: Authentication success message and session start.

[0143] Specific action: The user enters their ID and password into the form and presses the authentication button.

[0144] Step 2:

[0145] Acquisition of profile data

[0146] The server receives the user ID after a successful login and retrieves the corresponding user's profile data from the database.

[0147] Input: User ID.

[0148] Output: Profile data (e.g., age, occupation, interests, region).

[0149] Specific operation: The server queries the database and retrieves user information.

[0150] Step 3:

[0151] Age group determination

[0152] The server determines the user's age group based on the acquired profile data.

[0153] Input: Date of birth or age.

[0154] Output: Age group (e.g., "45-55 years old").

[0155] Specific operation: The server compares the date of birth with the current date, calculates the age, and classifies the user into the appropriate age group.

[0156] Step 4:

[0157] Selection of a talk script template

[0158] The server selects a talk script template from the library that corresponds to the determined age group.

[0159] Input: Age group.

[0160] Output: Talk script template.

[0161] Specific operation: The server searches for and selects an appropriate template from the library based on the age group.

[0162] Step 5:

[0163] Customization based on personalized data

[0164] The server uses personalized data such as the user's occupation, interests, and location to optimize the selected talk script template for each individual user.

[0165] Input: Talk script template, profile data (occupation, interests, region).

[0166] Output: Customized talk script.

[0167] Specific operation: The server parses the template and adds content based on the user's interests and occupation.

[0168] Step 6:

[0169] Sending the talk script

[0170] The server sends a customized talk script to the user's device.

[0171] Input: Customized talk script.

[0172] Output: Message indicating that the talk script has been successfully sent to the terminal.

[0173] Specific operation: The server sends the talk script to the terminal using a communication protocol (e.g., HTTP or WebSocket).

[0174] Step 7:

[0175] Displaying the talk script

[0176] The terminal displays the talk script received from the server to the user in text or audio format.

[0177] Input: Customized talk script.

[0178] Output: Display of the talk script (text or audio).

[0179] Specific operation: The device provides the user with the content of the conversation using a screen that displays text or an audio output function.

[0180] Step 8:

[0181] Initiating a dialogue and providing real-time feedback

[0182] The user initiates the conversation based on the displayed talk script.

[0183] The device sends user responses and actions to the server in real time.

[0184] The server generates a new talk script based on that information.

[0185] Input: User responses and behavioral information.

[0186] Output: New talk script.

[0187] Specific operation: The user engages in dialogue, the content of which is sent to the server via the terminal, the server analyzes it, and generates the next dialogue.

[0188] The above describes the specific processing flow of this system's program.

[0189] (Application Example 1)

[0190] Next, we will explain Application Example 1. In the following explanation, the data processing device 12 will be referred to as the "server," and the smart device 14 will be referred to as the "terminal."

[0191] In modern brick-and-mortar stores, personalized customer service tailored to each customer's different interests and age group is essential. However, it is difficult for staff to instantly provide appropriate conversation content for each customer, often resulting in standardized service. This can lead to decreased customer satisfaction and, consequently, a decline in sales. Therefore, there is a need for a system that dynamically provides personalized conversation scripts based on the customer's age and interests.

[0192] The specific processing performed by the specific processing unit 290 of the data processing device 12 in Application Example 1 is realized by the following means.

[0193] In this invention, the server includes means for acquiring user profile data, means for determining the user's age group based on the profile data, means for selecting a talk script template corresponding to the age group, means for customizing the talk script template based on the profile data, means for transmitting the customized talk script to the user terminal, and means for providing the customized talk script via a display device worn by store staff. This enables staff to provide customer service using talk scripts individually optimized for each customer, thereby improving customer satisfaction and store sales.

[0194] "Profile data" refers to individual attribute information such as a user's date of birth, occupation, interests, and region.

[0195] "Age group" refers to a group classified based on the user's age.

[0196] A "talk script template" refers to a predefined topic template that includes dialogue content tailored to a specific age group.

[0197] "Customization" refers to individually optimizing talk script templates based on the user's profile data.

[0198] "User terminal" refers to electronic devices that a user can access, such as smartphones and computers.

[0199] A "display device" refers to a device that allows a user to visually confirm information, such as smart glasses or a head-mounted display.

[0200] This invention provides a system to support customer service in physical stores. The invention is implemented using a server, a user terminal, and a display device.

[0201] server:

[0202] The server retrieves user profile data and determines their age group. It then selects a template from its stored talk script templates that corresponds to the determined age group, and further customizes it based on the profile data. This generates a personalized talk script for each individual user. For example, the profile data includes the user's date of birth, occupation, interests, and region, which are used to provide the most appropriate dialogue.

[0203] User terminal:

[0204] The user terminal receives and displays a customized talk script sent from the server. Examples of user terminals include smartphones and computers. This terminal also plays a role in acquiring data and sending it to the server.

[0205] Display device:

[0206] Display devices include smart glasses and head-mounted displays worn by store staff. Through these devices, staff can access customized talk scripts in real time, enabling them to provide appropriate dialogue for each customer.

[0207] Specific example:

[0208] For example, if a 45-year-old IT professional with an interest in music visits a store, the server selects a talk script template corresponding to the "45-55 age group" based on the user's profile data. Based on this, a talk script is customized to include topics related to recent AI technology and music trends. This talk script is displayed in real time on the store staff's smart glasses.

[0209] Example of a prompt:

[0210] Based on the following information, please generate the optimal customer service talk script:

[0211] Age: 45

[0212] Occupation: IT professional

[0213] Interests: Music

[0214] Thus, the present invention provides a system for providing highly personalized service in physical stores. This makes it possible to improve customer satisfaction and store sales.

[0215] The flow of a specific process in Application Example 1 will be explained using Figure 12.

[0216] Step 1:

[0217] The server receives a login request from the user's terminal and retrieves the user's profile data. This request includes a user ID, and the server uses this ID to retrieve information such as the user's date of birth, occupation, interests, and region from the database. The retrieved profile data is stored in memory. The input is the user ID, and the output is the profile data.

[0218] Step 2:

[0219] The server determines the user's age group based on the acquired profile data. It calculates the user's current age based on the date of birth in the profile data and classifies that age into a predefined age group. For example, a 45-year-old user would be classified into the "45-55" group. The input is profile data, and the output is the age group.

[0220] Step 3:

[0221] The server selects a talk script template corresponding to the determined age group. This selection is done by searching for and loading an appropriate template from the template library corresponding to the age group. The input is the age group, and the output is the talk script template.

[0222] Step 4:

[0223] The server customizes selected talk script templates using the user's profile data, such as occupation, interests, and location. Specifically, it replaces the template's placeholders with information based on the profile data. For example, if the user's occupation is an IT professional and their interest is music, topics such as "recent AI technologies" and "music trends" will be added. The input is the talk script template and profile data, and the output is the customized talk script.

[0224] Step 5:

[0225] The customized talk script is sent from the server to the user's device. The user's device (e.g., a smartphone or computer) displays the received customized talk script in text or audio format. The input is the customized talk script, and the output is the information displayed on the user's device.

[0226] Step 6:

[0227] The terminal simultaneously transmits the talk script to a display device (smart glasses or head-mounted display) worn by the staff. The staff interacts with customers while referring to the customized talk script on the display device. The input is the customized talk script, and the output is the information displayed on the display device.

[0228] Furthermore, an emotion engine that estimates the user's emotions may be incorporated. That is, the identification processing unit 290 may use the emotion identification model 59 to estimate the user's emotions and perform identification processing using the user's emotions.

[0229] This invention is a system that provides an optimal talk script by taking into account not only the user's age and interests, but also their emotions. In addition to a server, terminal, and user, this system includes an emotion engine that recognizes the user's emotions.

[0230] Overall System Overview

[0231] The server retrieves user profile data, determines age group, selects a talk script template, and further customizes it using personalized data and sentiment engine results. The customized talk script is then sent to the user's device.

[0232] The terminal displays the talk script received from the server to the user, allowing the user to begin a conversation. It also analyzes the user's responses and sends emotional data to the server via the emotion engine.

[0233] The user engages in dialogue based on a talk script provided through the device. The emotion engine recognizes the user's emotions from these dialogues and inputs.

[0234] The emotion engine analyzes the user's voice and text input to determine their emotions. Based on this, the server customizes the talk script more appropriately.

[0235] Explanation of the program's processing details

[0236] 1. Data acquisition and storage:

[0237] When a user logs into the application, the server retrieves profile data from the database. This data includes date of birth, age, occupation, interests, and location.

[0238] 2. Determining the age group:

[0239] The server analyzes the acquired profile data and determines the user's age group based on their actual age. For example, if a user is 45 years old, they will be classified into the "45-55" age group.

[0240] 3. Selection of a talk script template:

[0241] The server selects a talk script template from the library that corresponds to the determined age group.

[0242] 4. Customizing the talk script:

[0243] The server sets the initial settings for the emotional state that will be sent later, by defining the user's physical data and the corresponding talk script.

[0244] 5. Obtaining customized data:

[0245] The server further customizes the talk script using personalized data such as the user's occupation, interests, and location. For example, if the user is an IT engineer and interested in music, topics related to "recent AI technologies" and "music trends" will be added to the talk script.

[0246] 6. Utilizing the Emotional Engine:

[0247] When a user initiates a conversation using a talk script, the device sends the user's voice and text to the emotion engine in real time. The emotion engine analyzes this data and generates the user's emotion data.

[0248] 7. Feedback on emotional data:

[0249] The server receives emotion data sent from the emotion engine and updates the talk script accordingly. For example, if the user's emotion is determined to be "sad," the script is customized to be more encouraging.

[0250] 8. Sending and displaying talk scripts:

[0251] A customized talk script, reflecting emotional data, is sent from the server to the user's device. The device then displays this script to the user in text or audio format.

[0252] 9. Conducting dialogue:

[0253] The user engages in dialogue based on the displayed talk script. The server monitors the user's dialogue content and sentiment data in real time and generates new talk scenarios as needed.

[0254] Explanation of specific examples

[0255] Let's take the example of Mr. Tanaka (45 years old, living in Tokyo, IT engineer) logging into the app.

[0256] Data acquisition:

[0257] The server retrieves Tanaka's profile data (age 45, IT engineer, interested in music, lives in Tokyo).

[0258] Age group determination:

[0259] The server classifies Mr. Tanaka into the "45-55 years old" age group based on his age.

[0260] Talk script selection:

[0261] The server selects a talk script template for the "45-55 age group."

[0262] Talk script customization:

[0263] The server customizes the talk script based on Tanaka's profile data, adding topics related to "recent AI technologies" and "music trends."

[0264] Utilizing the emotional engine:

[0265] When Ms. Tanaka begins a conversation, the device sends voice and text to the emotion engine to generate emotion data. If the server determines that Ms. Tanaka is tired, it customizes the talk script to be more relaxing.

[0266] Feedback on emotional data:

[0267] The server receives emotion data from the emotion engine and updates the talk script accordingly to make it more appropriate.

[0268] Sending and displaying the talk script:

[0269] The updated talk script is sent to Tanaka's device and displayed in text and audio formats.

[0270] Conduct a dialogue:

[0271] Ms. Tanaka engages in a conversation where she says, "I'm feeling restless today, but talking about the recent advancements in AI technology makes me feel better."

[0272] In this way, it is possible to provide optimal dialogue tailored to the user's attributes, including their emotions.

[0273] The following describes the processing flow.

[0274] Step 1:

[0275] The user logs into the application. The device sends the login information to the server.

[0276] Step 2:

[0277] The server retrieves profile data from the database based on the user's login information. This profile data includes date of birth, age, occupation, interests, and region.

[0278] Step 3:

[0279] The server analyzes the acquired profile data and determines the user's age group based on their actual age. For example, if a user is 45 years old, they will be classified into the "45-55" age group.

[0280] Step 4:

[0281] The server selects a conversation script template corresponding to the determined age group from the library. For example, select a conversation script template for "ages 45 - 55".

[0282] Step 5:

[0283] The server customizes the selected conversation script template based on other profile data of the user (occupation, interests, location, etc.). For example, if the user is an IT engineer and interested in music, add topics related to "recent AI technology" and "music trends" to the conversation script.

[0284] Step 6:

[0285] The server sends the customized conversation script to the user's terminal.

[0286] Step 7:

[0287] The terminal displays the received conversation script to the user. For example, it is displayed in text format or voice format.

[0288] Step 8:

[0289] The user starts a conversation based on the displayed conversation script. For example, start a conversation based on content like "It's a nice day today. Have you been surprised by the recent progress of AI technology?"

[0290] Step 9:

[0291] The user inputs the conversation content to the terminal or speaks in voice. The terminal sends this input data to the emotion engine in real - time.

[0292] Step 10:

[0293] The emotion engine analyzes the user's voice and text input to determine their emotions. For example, it can identify emotions such as "tired" from the user's tone of voice and the words they use.

[0294] Step 11:

[0295] When the server receives emotion data from the emotion engine, it uses this to further customize the talk script. For example, if the server determines that the user is "sad," it updates the talk script to include words of encouragement.

[0296] Step 12:

[0297] The server resends the customized new talk script to the user's device.

[0298] Step 13:

[0299] The device displays the updated talk script to the user. The user then continues the conversation based on the displayed talk script.

[0300] Step 14:

[0301] The server monitors user dialogue and emotional data in real time, and generates and injects new dialogue scenarios as needed. This ensures that user interactions are always optimized.

[0302] (Example 2)

[0303] Next, we will describe Example 2. In the following description, the data processing device 12 will be referred to as the "server" and the smart device 14 as the "terminal".

[0304] In the conventional talk script system, scripts were provided based on the user's age and interests, but the user's emotions could not be considered. Therefore, it was difficult to conduct appropriate conversations according to the user's current emotional state. In addition, real-time emotion analysis and the update of talk scripts based on it were not performed, and the user experience was restricted.

[0305] 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. In this invention, the server includes means for acquiring the user's profile data, means for determining the user's age group based on the profile data, means for selecting a talk script template corresponding to the age group, means for customizing the talk script template based on the profile data, means for transmitting the customized talk script to the user terminal, means for transmitting the user's voice and text to the emotion engine in real time when the user starts a conversation, means for the emotion engine to generate the user's emotion data and appropriately update the talk script using the emotion data, and means for transmitting the updated talk script to the user terminal again. Thereby, a personalized conversation based not only on the user's age and interests but also on the emotional state can be provided in real time.

[0306] The "user" refers to a person who uses the system.

[0307] The "profile data" refers to data including personal information such as the user's date of birth, occupation, interests, and region.

[0308] The "age group" refers to a group classified based on the user's age.

[0309] The "talk script template" refers to a script for a conversation corresponding to a specific age group.

[0310] A "customized talk script" refers to a conversation script that has been tailored based on the user's profile data.

[0311] "User terminal" refers to devices such as computers, smartphones, and tablets used by users.

[0312] "Dialogue" refers to conversations and communication that take place between the user and the system.

[0313] An "emotion engine" refers to software that analyzes a user's voice or text to determine their emotions.

[0314] "Emotional data" refers to data about the user's emotional state generated by the emotion engine.

[0315] "Update" refers to the modification of a talk script based on new information and sentiment data.

[0316] "Real-time" refers to the immediate processing and updates that occur during user interaction.

[0317] Modes for carrying out the invention

[0318] This invention is a system that provides talk scripts based on user profile data and further analyzes user emotions to realize real-time customized conversations. An embodiment of this system is described in detail below.

[0319] Overall system configuration

[0320] The server plays a central role in this system and performs the following tasks:

[0321] When a user logs in, profile data is retrieved from the database. Examples of databases used include MySQL® and PostgreSQL.

[0322] The user's age group is determined based on their profile data. This determination is performed using an algorithm that classifies ages into specific ranges.

[0323] Select a talk script template that corresponds to the age group. The template is either a text file stored on the server or data stored in a database.

[0324] Customize the talk script by taking into account personalized data such as the user's occupation, interests, and location.

[0325] Send a customized talk script to the user's device.

[0326] The terminal provides an interface that connects the user and the server:

[0327] The system displays the talk script received from the server, allowing the user to begin the conversation.

[0328] It records user responses and sends the audio and text to the emotion engine.

[0329] The emotion engine analyzes the user's voice and text data to determine their emotions.

[0330] For speech analysis, we use speech recognition technologies such as Google Cloud Speech-to-Text API and IBM Watson®.

[0331] For text analysis, natural language processing techniques such as libraries like NLTK and SpaCy are used.

[0332] The determined emotion data is sent to the server.

[0333] Specific example

[0334] The following is a specific example of what happens when Mr. Tanaka (45 years old, lives in Tokyo, IT engineer) logs into the system:

[0335] 1. Data acquisition:

[0336] The server retrieves Tanaka's profile data (age 45, IT engineer, interested in music, lives in Tokyo) from the database.

[0337] 2. Age group determination:

[0338] The server classifies Tanaka into the "45-55 years old" age group based on his age.

[0339] 3. Selecting a talk script:

[0340] The server selects a talk script template for the "45-55 age group."

[0341] 4. Customizing the talk script:

[0342] The server customizes the talk script based on Tanaka's profile data, including topics such as "recent AI technologies" and "music trends."

[0343] 5. Send a customized talk script:

[0344] The customized talk script is sent from the server to Mr. Tanaka's terminal.

[0345] 6. Initiating the conversation and analyzing emotions:

[0346] When Ms. Tanaka begins a conversation, the device sends voice and text data to the emotion engine in real time. The emotion engine determines that "Ms. Tanaka is tired."

[0347] 7. Talk script updated:

[0348] Based on the sentiment data, the server updates the talk script and changes it to a more relaxed tone.

[0349] 8. Send the updated talk script:

[0350] The server sends the updated talk script back to Tanaka's terminal, and the conversation continues.

[0351] Example of a prompt

[0352] Based on the profile data of a 45-year-old IT engineer living in Tokyo with an interest in music, customize a talk script about recent AI technology and music trends. Also, if the emotion engine detects that the user is tired during the conversation, update the talk script with more relaxing content.

[0353] The above describes a specific embodiment of this system. This system makes it possible to provide optimal interactions in real time based on the user's personalized data and emotional state.

[0354] The flow of the specific processing in Example 2 will be explained using Figure 13.

[0355] Step 1: User Login

[0356] The user enters their username and password on the device's login screen and clicks the "Login" button. The entered information is sent from the device to the server, which receives it. The server performs authentication, and if successful, proceeds to the next step. The input is the username and password, and the output is the authentication result.

[0357] Step 2: Retrieve profile data from the database

[0358] The server retrieves the authenticated user's profile data from the database. Examples of databases used include MySQL and PostgreSQL. The input is the user's authentication information, and the output is profile data. Required fields include date of birth, occupation, interests, and location.

[0359] Step 3: Age group determination

[0360] The server analyzes the acquired profile data and determines the user's age group based on their actual age. Using an age group classification algorithm, it might classify the user into a group such as "45-55 years old." The input is the age information from the profile data, and the output is a specific age group.

[0361] Step 4: Selecting a Talk Script Template

[0362] The server selects a corresponding talk script template from its library based on the determined age group. The templates are stored in text files or a database on the server. The input is age group information, and the output is a talk script template.

[0363] Step 5: Customization with personalized data

[0364] The server customizes the selected talk script template based on personalized data such as the user's occupation, interests, and location. For example, if the user is an IT engineer and interested in music, topics such as "recent AI technologies" and "music trends" will be added. The input is profile data and a talk script template, and the output is the customized talk script.

[0365] Step 6: Send the initial talk script

[0366] The server sends a customized talk script to the user's terminal. The terminal displays the talk script, allowing the user to begin the conversation. The input is the customized talk script, and the output is the sending and display of the script to the terminal.

[0367] Step 7: Start the user interaction

[0368] The user initiates a conversation based on a talk script displayed on the device. The user's responses are recorded in audio or text format. The input is a customized talk script, and the output is the user's response data.

[0369] Step 8: Sentiment analysis of voice and text

[0370] The device transmits the user's voice and text input to the emotion engine in real time. The emotion engine uses the Google Cloud Speech-to-Text API for voice analysis and natural language processing technologies such as NLTK and SpaCy for text analysis. The input is the user's voice and text data, and the output is emotion data.

[0371] Step 9: Updating the talk script based on sentiment data

[0372] The server receives emotion data sent from the emotion engine and updates the talk script in real time based on it. For example, if the user's emotion is determined to be "tired," the script is changed to something more relaxing. The input is emotion data and a customized talk script, and the output is the updated talk script.

[0373] Step 10: Send the updated talk script

[0374] The server resends the updated talk script to the user's terminal. The terminal displays it again, and the user can continue the conversation. The input is the updated talk script, and the output is the resending and display of the script to the terminal.

[0375] Step 11: Continuous dialogue and adaptation

[0376] The user continues the conversation based on the provided talk script. The server and sentiment engine monitor the user's conversation content and sentiment data, and further customize and update the talk script as needed. The input is the audio or text data of the ongoing conversation, and the output is the adapted new talk script.

[0377] (Application Example 2)

[0378] Next, we will explain application example 2. In the following explanation, the data processing device 12 will be referred to as a "server" and the smart device 14 as a "terminal".

[0379] Conventional security monitoring systems have the drawback of not adequately considering user emotions and stress levels, making it difficult to implement effective security measures based on the user's mental state. Furthermore, customization based solely on user profile data results in uniform talk scripts, making it difficult to provide specific advice tailored to individual situations.

[0380] The specific processing performed by the specific processing unit 290 of the data processing device 12 in Application Example 2 is realized by the following means.

[0381] In this invention, the server includes means for acquiring user profile data, means for determining the user's age group based on the profile data, means for selecting a talk script template corresponding to the age group, means for customizing the talk script template based on the profile data, means for analyzing the user's emotional data using the emotional engine, means for updating the talk script based on the emotional data, and means for sending the customized and updated talk script to the user terminal. This makes it possible to provide real-time advice on optimal security measures based on the user's profile data and emotional data.

[0382] "User profile data" refers to information about the user, including date of birth, occupation, interests, and location.

[0383] "Age group" refers to a specific range of users classified based on their age.

[0384] A "talk script template" is a pre-defined dialogue scenario template in a format suitable for a specific age group or situation.

[0385] "Methods of customization" refer to methods of individually adjusting talk script templates based on user profile data and sentiment data, transforming them into conversations optimized for the user.

[0386] An "emotion engine" is software or hardware that analyzes a user's voice or text input to determine their emotions.

[0387] "Emotional data" refers to data that indicates the user's current emotional state, obtained as a result of analysis by the emotion engine.

[0388] "User terminal" refers to a device used by a user, and includes smartphones, tablets, personal computers, etc.

[0389] A "server" is a computer system that stores, processes, and manages data over a network and communicates with user terminals.

[0390] This invention provides a system that delivers optimized talk scripts based on user profile data and sentiment data, enabling security monitoring assistant functionality for the user. The system includes the following main components:

[0391] 1. Server:

[0392] The server retrieves the user's profile data and determines the user's age group based on it. Next, it selects a talk script template corresponding to the determined age group and customizes it based on the profile data and sentiment data. Upon receiving the sentiment data analyzed by the sentiment engine, the server updates the talk script and sends the optimized content to the user's terminal.

[0393] 2. Terminal:

[0394] The device (such as a smartphone or tablet) displays customized and updated talk scripts sent from the server to the user. It also plays a role in sending user input and dialogue to the emotion engine to generate emotion data and providing feedback to the server.

[0395] 3. User:

[0396] The user interacts according to a talk script provided through the device. The input text and voice are analyzed by an emotion engine, and emotion data is generated as a result.

[0397] 4. Emotional Engine:

[0398] The emotion engine analyzes the user's voice and text input in real time to determine the user's emotional state. The emotion data is sent to the server and used to update the talk script.

[0399] Examples

[0400] When a user logs into the security monitoring assistant application, the following processes occur:

[0401] Data acquisition:

[0402] The server retrieves user profile data (age, occupation, interests, region, etc.) from the database.

[0403] Age group determination:

[0404] The server determines the user's age group based on the acquired profile data. For example, if the user is 45 years old, they will be classified into the "45-55" age group.

[0405] Talk script selection:

[0406] The server selects a talk script template from the library that is appropriate for the corresponding age group.

[0407] Talk script customization:

[0408] The server customizes the talk script based on profile data. This profile data includes information related to the user's occupation, interests, and location.

[0409] Emotion analysis:

[0410] When a user initiates a conversation according to a talk script, the device sends that input to the emotion engine, which then generates emotion data.

[0411] Script update and submission:

[0412] The server receives the generated emotion data, updates the talk script based on it, and sends it back to the user's terminal.

[0413] For example, if a user types "I'm worried about security today," the emotion engine analyzes this input and determines that the user is worried. The server receives this emotion data, updates the talk script with encouraging content such as "Don't worry, everything is fine," and sends it to the user's terminal. This allows the user to receive optimal security advice in real time.

[0414] This invention enables the provision of more advanced and personalized security measures by combining user profile data and emotion data. To realize this system, hardware and software such as servers, terminals, and emotion engines work in conjunction.

[0415] The flow of a specific process in Application Example 2 will be explained using Figure 14.

[0416] Step 1:

[0417] When a user logs in, the server retrieves the user's profile data (date of birth, occupation, interests, region, etc.) from the database. This allows the server to understand the user's basic information.

[0418] Step 2:

[0419] The server determines the user's age based on the acquired profile data and assigns them to an age group. For example, if the user is 45 years old, they will be classified into the "45-55" age group. Based on this determination, a corresponding talk script template is selected.

[0420] Step 3:

[0421] The server selects a talk script template from its library that corresponds to the determined age group. By selecting a template appropriate for the age group, the server is ready to provide a conversation scenario suitable for the user.

[0422] Step 4:

[0423] The server customizes the talk script template based on the user's profile data. For example, if the user's occupation is an IT engineer and their interest is music, topics related to "recent AI technologies" and "music trends" will be added to the template. This customization provides the user with personalized content.

[0424] Step 5:

[0425] When a user initiates a conversation according to a talk script, the device sends the entered text and voice data to the emotion engine. The emotion engine analyzes this data and generates emotion data. For example, in response to the input "I'm worried," the emotion engine determines that the emotion is "worried."

[0426] Step 6:

[0427] The server receives emotion data sent from the emotion engine. Based on the received emotion data, it updates the talk script as needed. For example, if the user's emotion is determined to be "sad," the server customizes the talk script to add words of encouragement.

[0428] Step 7:

[0429] The server sends customized and updated talk scripts to the user's terminal. The terminal displays them to the user in text or audio format. This allows the user to receive optimal security advice in real time.

[0430] Step 8:

[0431] The user continues the conversation based on the updated talk script. This conversation content and sentiment data are monitored in real time, and new talk scripts are generated as needed. This loop ensures that the user receives the best possible support.

[0432] The specific processing unit 290 transmits the result of the specific processing to the smart device 14. In the smart device 14, the control unit 46A causes the output device 40 to output the result of the specific processing. The microphone 38B acquires audio indicating user input for the result of the specific processing. The control unit 46A transmits the audio data indicating user input acquired by the microphone 38B to the data processing device 12. In the data processing device 12, the specific processing unit 290 acquires the audio data.

[0433] Data generation model 58 is a so-called generative AI (Artificial Intelligence). An example of data generation model 58 is ChatGPT (registered trademark) (Internet search).<URL: https: / / openai.com / blog / chatgpt> ), Gemini (registered trademark) (Internet search) <url: https: gemini.google.com ?hl="ja">Examples of generative AI include the following. The data generation model 58 is obtained by performing deep learning on a neural network. The data generation model 58 is input with prompts containing instructions, and with inference data such as audio data representing speech, text data representing text, and image data representing images. The data generation model 58 infers from the input inference data according to the instructions indicated by the prompts, and outputs the inference results in data formats such as audio data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization.

[0434] In the above embodiment, an example was given in which specific processing is performed by the data processing device 12, but the technology of this disclosure is not limited thereto, and the specific processing may also be performed by the smart device 14.

[0435] [Second Embodiment]

[0436] Figure 3 shows an example of the configuration of the data processing system 210 according to the second embodiment.

[0437] As shown in Figure 3, the data processing system 210 includes a data processing device 12 and smart glasses 214. An example of the data processing device 12 is a server.

[0438] The data processing device 12 comprises a computer 22, a database 24, and a communication interface 26. The computer 22 is an example of a "computer" related to the technology of this disclosure. The computer 22 comprises a processor 28, RAM 30, and storage 32. The processor 28, RAM 30, and storage 32 are connected to a bus 34. The database 24 and the communication interface 26 are also connected to the bus 34. The communication interface 26 is connected to a network 54. An example of the network 54 is a WAN (Wide Area Network) and / or a LAN (Local Area Network).

[0439] The smart glasses 214 include a computer 36, a microphone 238, a speaker 240, a camera 42, and a communication interface 44. The computer 36 includes a processor 46, RAM 48, and storage 50. The processor 46, RAM 48, and storage 50 are connected to a bus 52. The microphone 238, speaker 240, and camera 42 are also connected to the bus 52.

[0440] The microphone 238 receives voice signals from the user 20 and receives instructions from the user 20. The microphone 238 captures the voice signals from the user 20, converts the captured voice into audio data, and outputs it to the processor 46. The speaker 240 outputs audio according to the instructions from the processor 46.

[0441] Camera 42 is a small digital camera equipped with an optical system including a lens, aperture, and shutter, and an image sensor such as a CMOS (Complementary Metal-Oxide-Semiconductor) image sensor or a CCD (Charge Coupled Device) image sensor, and captures images of the area around the user 20 (for example, an imaging range defined by a field of view equivalent to the width of a typical healthy person's field of vision).

[0442] Communication interface 44 is connected to network 54. Communication interfaces 44 and 26 are responsible for the exchange of various information between processor 46 and processor 28 via network 54. The exchange of various information between processor 46 and processor 28 using communication interfaces 44 and 26 is performed in a secure manner.

[0443] Figure 4 shows an example of the main functions of the data processing device 12 and the smart glasses 214. As shown in Figure 4, the data processing device 12 performs specific processing using the processor 28. The storage 32 stores the specific processing program 56.

[0444] The specific processing program 56 is an example of a "program" relating to the technology of this disclosure. The processor 28 reads the specific processing program 56 from the storage 32 and executes the read specific processing program 56 on the RAM 30. The specific processing is realized by the processor 28 operating as a specific processing unit 290 in accordance with the specific processing program 56 executed on the RAM 30.

[0445] The storage 32 stores the data generation model 58 and the emotion identification model 59. The data generation model 58 and the emotion identification model 59 are used by the identification processing unit 290.

[0446] In the smart glasses 214, the processor 46 performs the reception output processing. The storage 50 stores the reception output program 60. The processor 46 reads the reception output program 60 from the storage 50 and executes the read reception output program 60 on the RAM 48. The reception output processing is realized by the processor 46 operating as a control unit 46A according to the reception output program 60 executed on the RAM 48.

[0447] Next, the identification processing performed by the identification processing unit 290 of the data processing device 12 will be described. In the following description, the data processing device 12 will be referred to as the "server" and the smart glasses 214 will be referred to as the "terminal".

[0448] This invention is a system that provides optimal talk scripts tailored to the user's age and interests. This system consists of three main elements: a server, a terminal, and the user.

[0449] Overall System Overview

[0450] The server is responsible for retrieving user profile data, determining age group, selecting a talk script template, and further customizing it using personalized data. The customized talk script is then sent to the user's device.

[0451] The terminal displays the talk script received from the server to the user, allowing the user to begin a conversation. It also sends the user's responses and actions to the server in real time, enabling the server to generate new talk scenarios based on this information.

[0452] Users engage in conversations based on talk scripts provided through their devices. This enables information provision and communication optimized to individual needs.

[0453] Explanation of the program's processing details

[0454] 1. Data acquisition and storage:

[0455] When a user logs into the application, the server retrieves the user's profile data from the database. This profile data includes the user's date of birth, age, occupation, interests, and location.

[0456] 2. Determining the age group:

[0457] The server determines the user's age group based on the acquired date of birth and age information. For example, if a user is 45 years old, they will be classified into the "45-55" age group.

[0458] 3. Selection of a talk script template:

[0459] The server selects a talk script template from its library that corresponds to the determined age group. This template contains dialogue content optimized for that age group.

[0460] 4. Customizing the talk script:

[0461] The server uses personalized data such as the user's occupation, interests, and location to customize the selected talk script template. For example, if the user is an IT engineer and interested in music, topics related to "recent AI technologies" and "music trends" will be added to the talk script.

[0462] 5. Sending and displaying talk scripts:

[0463] The customized talk script is sent from the server to the user's device. The device then displays the received talk script to the user in text or audio format.

[0464] 6. Conducting dialogue:

[0465] The user initiates a conversation based on the displayed talk script. The server monitors the user's conversation and actions in real time, using this information as a reference when generating new talk scripts.

[0466] Explanation of specific examples

[0467] Let's take the example of Mr. Tanaka (45 years old, living in Tokyo, IT engineer) logging into the app.

[0468] Data acquisition:

[0469] The server retrieves Tanaka's profile data (age 45, IT engineer, interested in music, lives in Tokyo) from the database.

[0470] Age group determination:

[0471] The server classifies Mr. Tanaka into the "45-55 years old" age group based on his age.

[0472] Talk script selection:

[0473] The server selects a talk script template for "45-55 year olds" from its library.

[0474] Talk script customization:

[0475] The server takes Tanaka's profession and interests into consideration and customizes the talk script by adding topics related to "recent AI technology" and "music trends."

[0476] Sending and displaying the talk script:

[0477] The customized talk script is sent to Tanaka's smartphone, where he receives it as text.

[0478] Conduct a dialogue:

[0479] Based on the displayed information, Ms. Tanaka begins a conversation by saying, "It's a nice day today, isn't it? Are you surprised by the recent advancements in AI technology?"

[0480] In this way, the system can provide optimal interactions tailored to the user's attributes.

[0481] The following describes the processing flow.

[0482] Step 1:

[0483] The user logs into the application. The device sends the login information to the server.

[0484] Step 2:

[0485] The server retrieves profile data from the database based on the user's login information. This profile data includes the user's date of birth, age, occupation, interests, and region.

[0486] Step 3:

[0487] The server analyzes the acquired profile data and determines the user's age group based on their actual age. For example, if a user is 45 years old, they will be classified into the "45-55" age group.

[0488] Step 4:

[0489] The server selects a talk script template from its library that corresponds to the determined age group. For example, it might select a talk script template for "ages 45-55".

[0490] Step 5:

[0491] The server customizes selected talk script templates based on the user's other profile data (occupation, interests, location, etc.). For example, if the user is an IT engineer and interested in music, topics related to "recent AI technologies" and "music trends" will be added to the talk script.

[0492] Step 6:

[0493] The server sends a customized talk script to the user's device.

[0494] Step 7:

[0495] The device displays the received talk script to the user. For example, it may be displayed in text format or audio format.

[0496] Step 8:

[0497] The user initiates a conversation based on the displayed talk script. For example, the conversation might start with something like, "It's a nice day today. Are you amazed by the recent advancements in AI technology?"

[0498] Step 9:

[0499] The server monitors the user's conversation in real time and generates new talk scenarios as needed. These generated talk scripts are also customized and sent to the user's device.

[0500] (Example 1)

[0501] Next, we will describe Example 1. In the following description, the data processing device 12 will be referred to as the "server," and the smart glasses 214 will be referred to as the "terminal."

[0502] Traditional systems struggled to provide personalized conversations for each user, resulting in inconsistent conversation quality and user experience. Furthermore, providing more personalized conversations by reflecting user responses and actions in real time was also a challenge.

[0503] The identification process performed by the identification processing unit 290 of the data processing device 12 in Example 1 is realized by the following means.

[0504] In this invention, the server includes means for acquiring user profile data, means for determining age group, means for selecting a talk script template, means for customizing the talk script template, means for sending the customized talk script to the user terminal, and means for monitoring user responses and actions in real time and generating a new talk script based on feedback. This makes it possible to provide optimized dialogue content based on the user's profile data in real time.

[0505] "Profile data" refers to information that includes individual characteristics of the user, such as age, occupation, interests, and region.

[0506] "Age group" refers to a specific age range that is categorized based on the user's age.

[0507] A "talk script template" refers to a general-purpose dialogue framework created based on a specific age group or interests.

[0508] "Customization" refers to the process of adapting selected talk script templates to individual users based on their profile data.

[0509] "User terminal" refers to devices such as smartphones and personal computers used by the user.

[0510] "Real-time monitoring" refers to the immediate observation of user responses and actions, and the immediate processing of necessary data.

[0511] "Feedback" refers to guidelines for system modifications and optimizations based on information obtained from user responses and actions.

[0512] A "talk script" refers to the dialogue content and messages provided by the system.

[0513] Modes for carrying out the invention

[0514] This invention is a system that provides optimal talk scripts tailored to the user's age and interests. This system consists of three main elements: a server, a terminal, and the user.

[0515] The server is responsible for retrieving user profile data, determining age group, selecting a talk script template, and further customizing it using personalized data. The customized talk script is then sent to the user's device.

[0516] The terminal displays the talk script received from the server to the user, allowing the user to begin a conversation. It also sends the user's responses and actions to the server in real time, enabling the server to generate a new talk script based on this information.

[0517] Users engage in conversations based on talk scripts provided through their devices. This enables information provision and communication optimized to individual needs.

[0518] Hardware and software to be used

[0519] Server: Includes infrastructure connected to a high-performance database. Processing takes place on cloud platforms such as AWS or Google Cloud.

[0520] Device: A user's device, such as a smartphone or computer. This includes iOS, Android, Windows, and macOS.

[0521] Generative AI model: An AI model used to generate talk scripts. Examples include OpenAI's GPT-3 and Google's BERT.

[0522] Specific example

[0523] The following is a specific example from Mr. Tanaka (45 years old, living in Tokyo, IT engineer).

[0524] 1. User login:

[0525] Mr. Tanaka enters his user ID and password into the application and logs in.

[0526] 2. Obtaining profile data:

[0527] After confirming Tanaka's login, the server retrieves Tanaka's profile data (age 45, IT engineer, interested in music, lives in Tokyo) from the database.

[0528] 3. Determining the age group:

[0529] Based on the date of birth and age information obtained, the server classifies Ms. Tanaka into the "45-55 years old" age group.

[0530] 4. Selection of a talk script template:

[0531] The server selects a talk script template for "45-55 year olds" from its library.

[0532] 5. Customizing the talk script:

[0533] The server takes Tanaka's profession and interests into consideration and customizes the talk script by adding topics related to "recent AI technology" and "music trends."

[0534] 6. Send the talk script:

[0535] The customized talk script will be sent to Ms. Tanaka's smartphone.

[0536] 7. Display the talk script:

[0537] Tanaka's smartphone displays the received talk script in text format.

[0538] 8. Initiating the dialogue and providing real-time feedback:

[0539] Based on the displayed talk script, Ms. Tanaka begins a conversation with phrases like, "It's a nice day today, isn't it? Are you surprised by the recent advancements in AI technology?" While Ms. Tanaka is having the conversation, her smartphone sends the content of the conversation to the server in real time. The server uses this information to improve the next talk script provided, enhancing Ms. Tanaka's conversational experience.

[0540] Example of a prompt

[0541] The prompt text to input into the generative AI model is as follows:

[0542] User profile information:

[0543] Age: 45

[0544] Occupation: IT Engineer

[0545] Interests: Music

[0546] Region: Tokyo

[0547] Select a template to generate an appropriate talk script, and create a talk script that meets the following conditions:

[0548] 1. Recent topics related to AI technology

[0549] 2. Topics related to music trends

[0550] As described above, the present invention makes it possible to provide optimal dialogue tailored to the user's attributes.

[0551] The flow of the specific processing in Example 1 will be explained using Figure 11.

[0552] Step 1:

[0553] User login

[0554] The user enters their user ID and password in the application to log in.

[0555] Input: User ID and password.

[0556] Output: Authentication success message and session start.

[0557] Specific action: The user enters their ID and password into the form and presses the authentication button.

[0558] Step 2:

[0559] Acquisition of profile data

[0560] The server receives the user ID after a successful login and retrieves the corresponding user's profile data from the database.

[0561] Input: User ID.

[0562] Output: Profile data (e.g., age, occupation, interests, region).

[0563] Specific operation: The server queries the database and retrieves user information.

[0564] Step 3:

[0565] Age group determination

[0566] The server determines the user's age group based on the acquired profile data.

[0567] Input: Date of birth or age.

[0568] Output: Age group (e.g., "45-55 years old").

[0569] Specific operation: The server compares the date of birth with the current date, calculates the age, and classifies the user into the appropriate age group.

[0570] Step 4:

[0571] Selection of a talk script template

[0572] The server selects a talk script template from the library that corresponds to the determined age group.

[0573] Input: Age group.

[0574] Output: Talk script template.

[0575] Specific operation: The server searches for and selects an appropriate template from the library based on the age group.

[0576] Step 5:

[0577] Customization based on personalized data

[0578] The server uses personalized data such as the user's occupation, interests, and location to optimize the selected talk script template for each individual user.

[0579] Input: Talk script template, profile data (occupation, interests, region).

[0580] Output: Customized talk script.

[0581] Specific operation: The server parses the template and adds content based on the user's interests and occupation.

[0582] Step 6:

[0583] Sending the talk script

[0584] The server sends a customized talk script to the user's device.

[0585] Input: Customized talk script.

[0586] Output: Message indicating that the talk script has been successfully sent to the terminal.

[0587] Specific operation: The server sends the talk script to the terminal using a communication protocol (e.g., HTTP or WebSocket).

[0588] Step 7:

[0589] Displaying the talk script

[0590] The terminal displays the talk script received from the server to the user in text or audio format.

[0591] Input: Customized talk script.

[0592] Output: Display of the talk script (text or audio).

[0593] Specific operation: The device provides the user with the content of the conversation using a screen that displays text or an audio output function.

[0594] Step 8:

[0595] Initiating a dialogue and providing real-time feedback

[0596] The user initiates the conversation based on the displayed talk script.

[0597] The device sends user responses and actions to the server in real time.

[0598] The server generates a new talk script based on that information.

[0599] Input: User responses and behavioral information.

[0600] Output: New talk script.

[0601] Specific operation: The user engages in dialogue, the content of which is sent to the server via the terminal, the server analyzes it, and generates the next dialogue.

[0602] The above describes the specific processing flow of this system's program.

[0603] (Application Example 1)

[0604] Next, we will explain Application Example 1. In the following explanation, the data processing device 12 will be referred to as the "server," and the smart glasses 214 will be referred to as the "terminal."

[0605] In modern brick-and-mortar stores, personalized customer service tailored to each customer's different interests and age group is essential. However, it is difficult for staff to instantly provide appropriate conversation content for each customer, often resulting in standardized service. This can lead to decreased customer satisfaction and, consequently, a decline in sales. Therefore, there is a need for a system that dynamically provides personalized conversation scripts based on the customer's age and interests.

[0606] The specific processing performed by the specific processing unit 290 of the data processing device 12 in Application Example 1 is realized by the following means.

[0607] In this invention, the server includes means for acquiring user profile data, means for determining the user's age group based on the profile data, means for selecting a talk script template corresponding to the age group, means for customizing the talk script template based on the profile data, means for transmitting the customized talk script to the user terminal, and means for providing the customized talk script via a display device worn by store staff. This enables staff to provide customer service using talk scripts individually optimized for each customer, thereby improving customer satisfaction and store sales.

[0608] "Profile data" refers to individual attribute information such as a user's date of birth, occupation, interests, and region.

[0609] "Age group" refers to a group classified based on the user's age.

[0610] A "talk script template" refers to a predefined topic template that includes dialogue content tailored to a specific age group.

[0611] "Customization" refers to individually optimizing talk script templates based on the user's profile data.

[0612] "User terminal" refers to electronic devices that a user can access, such as smartphones and computers.

[0613] A "display device" refers to a device that allows a user to visually confirm information, such as smart glasses or a head-mounted display.

[0614] This invention provides a system to support customer service in physical stores. The invention is implemented using a server, a user terminal, and a display device.

[0615] server:

[0616] The server retrieves user profile data and determines their age group. It then selects a template from its stored talk script templates that corresponds to the determined age group, and further customizes it based on the profile data. This generates a personalized talk script for each individual user. For example, the profile data includes the user's date of birth, occupation, interests, and region, which are used to provide the most appropriate dialogue.

[0617] User terminal:

[0618] The user terminal receives and displays a customized talk script sent from the server. Examples of user terminals include smartphones and computers. This terminal also plays a role in acquiring data and sending it to the server.

[0619] Display device:

[0620] Display devices include smart glasses and head-mounted displays worn by store staff. Through these devices, staff can access customized talk scripts in real time, enabling them to provide appropriate dialogue for each customer.

[0621] Specific example:

[0622] For example, if a 45-year-old IT professional with an interest in music visits a store, the server selects a talk script template corresponding to the "45-55 age group" based on the user's profile data. Based on this, a talk script is customized to include topics related to recent AI technology and music trends. This talk script is displayed in real time on the store staff's smart glasses.

[0623] Example of a prompt:

[0624] Based on the following information, please generate the optimal customer service talk script:

[0625] Age: 45

[0626] Occupation: IT professional

[0627] Interests: Music

[0628] Thus, the present invention provides a system for providing highly personalized service in physical stores. This makes it possible to improve customer satisfaction and store sales.

[0629] The flow of a specific process in Application Example 1 will be explained using Figure 12.

[0630] Step 1:

[0631] The server receives a login request from the user's terminal and retrieves the user's profile data. This request includes a user ID, and the server uses this ID to retrieve information such as the user's date of birth, occupation, interests, and region from the database. The retrieved profile data is stored in memory. The input is the user ID, and the output is the profile data.

[0632] Step 2:

[0633] The server determines the user's age group based on the acquired profile data. It calculates the user's current age based on the date of birth in the profile data and classifies that age into a predefined age group. For example, a 45-year-old user would be classified into the "45-55" group. The input is profile data, and the output is the age group.

[0634] Step 3:

[0635] The server selects a talk script template corresponding to the determined age group. This selection is done by searching for and loading an appropriate template from the template library corresponding to the age group. The input is the age group, and the output is the talk script template.

[0636] Step 4:

[0637] The server customizes selected talk script templates using the user's profile data, such as occupation, interests, and location. Specifically, it replaces the template's placeholders with information based on the profile data. For example, if the user's occupation is an IT professional and their interest is music, topics such as "recent AI technologies" and "music trends" will be added. The input is the talk script template and profile data, and the output is the customized talk script.

[0638] Step 5:

[0639] The customized talk script is sent from the server to the user's device. The user's device (e.g., a smartphone or computer) displays the received customized talk script in text or audio format. The input is the customized talk script, and the output is the information displayed on the user's device.

[0640] Step 6:

[0641] The terminal simultaneously transmits the talk script to a display device (smart glasses or head-mounted display) worn by the staff. The staff interacts with customers while referring to the customized talk script on the display device. The input is the customized talk script, and the output is the information displayed on the display device.

[0642] Furthermore, an emotion engine that estimates the user's emotions may be incorporated. That is, the identification processing unit 290 may use the emotion identification model 59 to estimate the user's emotions and perform identification processing using the user's emotions.

[0643] This invention is a system that provides an optimal talk script by taking into account not only the user's age and interests, but also their emotions. In addition to a server, terminal, and user, this system includes an emotion engine that recognizes the user's emotions.

[0644] Overall System Overview

[0645] The server retrieves user profile data, determines age group, selects a talk script template, and further customizes it using personalized data and sentiment engine results. The customized talk script is then sent to the user's device.

[0646] The terminal displays the talk script received from the server to the user, allowing the user to begin a conversation. It also analyzes the user's responses and sends emotional data to the server via the emotion engine.

[0647] The user engages in dialogue based on a talk script provided through the device. The emotion engine recognizes the user's emotions from these dialogues and inputs.

[0648] The emotion engine analyzes the user's voice and text input to determine their emotions. Based on this, the server customizes the talk script more appropriately.

[0649] Explanation of the program's processing details

[0650] 1. Data acquisition and storage:

[0651] When a user logs into the application, the server retrieves profile data from the database. This data includes date of birth, age, occupation, interests, and location.

[0652] 2. Determining the age group:

[0653] The server analyzes the acquired profile data and determines the user's age group based on their actual age. For example, if a user is 45 years old, they will be classified into the "45-55" age group.

[0654] 3. Selection of a talk script template:

[0655] The server selects a talk script template from the library that corresponds to the determined age group.

[0656] 4. Customizing the talk script:

[0657] The server sets the initial settings for the emotional state that will be sent later, by defining the user's physical data and the corresponding talk script.

[0658] 5. Obtaining customized data:

[0659] The server further customizes the talk script using personalized data such as the user's occupation, interests, and location. For example, if the user is an IT engineer and interested in music, topics related to "recent AI technologies" and "music trends" will be added to the talk script.

[0660] 6. Utilizing the Emotional Engine:

[0661] When a user initiates a conversation using a talk script, the device sends the user's voice and text to the emotion engine in real time. The emotion engine analyzes this data and generates the user's emotion data.

[0662] 7. Feedback on emotional data:

[0663] The server receives emotion data sent from the emotion engine and updates the talk script accordingly. For example, if the user's emotion is determined to be "sad," the script is customized to be more encouraging.

[0664] 8. Sending and displaying talk scripts:

[0665] A customized talk script, reflecting emotional data, is sent from the server to the user's device. The device then displays this script to the user in text or audio format.

[0666] 9. Conducting dialogue:

[0667] The user engages in dialogue based on the displayed talk script. The server monitors the user's dialogue content and sentiment data in real time and generates new talk scenarios as needed.

[0668] Explanation of specific examples

[0669] Let's take the example of Mr. Tanaka (45 years old, living in Tokyo, IT engineer) logging into the app.

[0670] Data acquisition:

[0671] The server retrieves Tanaka's profile data (age 45, IT engineer, interested in music, lives in Tokyo).

[0672] Age group determination:

[0673] The server classifies Mr. Tanaka into the "45-55 years old" age group based on his age.

[0674] Talk script selection:

[0675] The server selects a talk script template for the "45-55 age group."

[0676] Talk script customization:

[0677] The server customizes the talk script based on Tanaka's profile data, adding topics related to "recent AI technology" and "music trends."

[0678] Utilizing the emotional engine:

[0679] When Ms. Tanaka begins a conversation, the device sends voice and text to the emotion engine to generate emotion data. If the server determines that Ms. Tanaka is tired, it customizes the talk script to be more relaxing.

[0680] Feedback on emotional data:

[0681] The server receives emotion data from the emotion engine and updates the talk script accordingly to make it more appropriate.

[0682] Sending and displaying the talk script:

[0683] The updated talk script is sent to Tanaka's device and displayed in text and audio formats.

[0684] Conduct a dialogue:

[0685] Ms. Tanaka engages in a conversation where she says, "I'm feeling restless today, but talking about the recent advancements in AI technology makes me feel better."

[0686] In this way, it is possible to provide optimal dialogue tailored to the user's attributes, including their emotions.

[0687] The following describes the processing flow.

[0688] Step 1:

[0689] The user logs into the application. The device sends the login information to the server.

[0690] Step 2:

[0691] The server retrieves profile data from the database based on the user's login information. This profile data includes date of birth, age, occupation, interests, and region.

[0692] Step 3:

[0693] The server analyzes the acquired profile data and determines the user's age group based on their actual age. For example, if a user is 45 years old, they will be classified into the "45-55" age group.

[0694] Step 4:

[0695] The server selects a talk script template from its library that corresponds to the determined age group. For example, it might select a talk script template for "ages 45-55".

[0696] Step 5:

[0697] The server customizes selected talk script templates based on the user's other profile data (occupation, interests, location, etc.). For example, if the user is an IT engineer and interested in music, topics related to "recent AI technologies" and "music trends" will be added to the talk script.

[0698] Step 6:

[0699] The server sends a customized talk script to the user's device.

[0700] Step 7:

[0701] The device displays the received talk script to the user. For example, it may be displayed in text format or audio format.

[0702] Step 8:

[0703] The user initiates a conversation based on the displayed talk script. For example, the conversation might start with something like, "It's a nice day today. Are you amazed by the recent advancements in AI technology?"

[0704] Step 9:

[0705] The user either types the conversation into the device or speaks it aloud. The device then sends this input data to the emotion engine in real time.

[0706] Step 10:

[0707] The emotion engine analyzes the user's voice and text input to determine their emotions. For example, it can identify emotions such as "tired" from the user's tone of voice and the words they use.

[0708] Step 11:

[0709] When the server receives emotion data from the emotion engine, it uses this to further customize the talk script. For example, if the server determines that the user is "sad," it updates the talk script to include words of encouragement.

[0710] Step 12:

[0711] The server resends the customized new talk script to the user's device.

[0712] Step 13:

[0713] The device displays the updated talk script to the user. The user then continues the conversation based on the displayed talk script.

[0714] Step 14:

[0715] The server monitors user dialogue and emotional data in real time, and generates and injects new dialogue scenarios as needed. This ensures that user interactions are always optimized.

[0716] (Example 2)

[0717] Next, we will describe Example 2. In the following description, the data processing device 12 will be referred to as the "server" and the smart glasses 214 will be referred to as the "terminal".

[0718] Traditional talk script systems provided scripts based on the user's age and interests, but they failed to consider the user's emotions. Therefore, it was difficult to engage in appropriate conversations that reflected the user's current emotional state. Furthermore, real-time emotion analysis and subsequent script updates were not performed, limiting the user experience.

[0719] The identification processing by the identification processing unit 290 of the data processing device 12 in Example 2 is realized by the following means. In this invention, the server includes means for acquiring user profile data, means for determining the user's age group based on the profile data, means for selecting a talk script template corresponding to the age group, means for customizing the talk script template based on the profile data, means for sending the customized talk script to the user terminal, means for sending the user's voice and text to the emotion engine in real time when the user starts a conversation, means for the emotion engine to generate user emotion data and update the talk script appropriately using the emotion data, and means for sending the updated talk script to the user terminal again. This makes it possible to provide personalized conversations in real time based not only on the user's age and interests but also on their emotional state.

[0720] A "user" refers to a person who uses the system.

[0721] "Profile data" refers to data that includes personal information such as the user's date of birth, occupation, interests, and location.

[0722] "Age group" refers to a group classified based on the user's age.

[0723] A "talk script template" refers to a conversation script tailored to a specific age group.

[0724] A "customized talk script" refers to a conversation script that has been tailored based on the user's profile data.

[0725] "User terminal" refers to devices such as computers, smartphones, and tablets used by users.

[0726] "Dialogue" refers to conversations and communication that take place between the user and the system.

[0727] An "emotion engine" refers to software that analyzes a user's voice or text to determine their emotions.

[0728] "Emotional data" refers to data about the user's emotional state generated by the emotion engine.

[0729] "Update" refers to the modification of a talk script based on new information and sentiment data.

[0730] "Real-time" refers to the immediate processing and updates that occur during user interaction.

[0731] Modes for carrying out the invention

[0732] This invention is a system that provides talk scripts based on user profile data and further analyzes user emotions to realize real-time customized conversations. An embodiment of this system is described in detail below.

[0733] Overall system configuration

[0734] The server plays a central role in this system and performs the following tasks:

[0735] When a user logs in, profile data is retrieved from the database. Examples of databases used include MySQL and PostgreSQL.

[0736] The user's age group is determined based on their profile data. This determination is performed using an algorithm that classifies ages into specific ranges.

[0737] Select a talk script template that corresponds to the age group. The template is either a text file stored on the server or data stored in a database.

[0738] Customize the talk script by taking into account personalized data such as the user's occupation, interests, and location.

[0739] Send a customized talk script to the user's device.

[0740] The terminal provides an interface that connects the user and the server:

[0741] The system displays the talk script received from the server, allowing the user to begin the conversation.

[0742] It records user responses and sends the audio and text to the emotion engine.

[0743] The emotion engine analyzes the user's voice and text data to determine their emotions.

[0744] For speech analysis, we use speech recognition technologies such as Google Cloud Speech-to-Text API or IBM Watson.

[0745] For text analysis, natural language processing techniques such as libraries like NLTK and SpaCy are used.

[0746] The determined emotion data is sent to the server.

[0747] Specific example

[0748] The following is a specific example of what happens when Mr. Tanaka (45 years old, lives in Tokyo, IT engineer) logs into the system:

[0749] 1. Data acquisition:

[0750] The server retrieves Tanaka's profile data (age 45, IT engineer, interested in music, lives in Tokyo) from the database.

[0751] 2. Age group determination:

[0752] The server classifies Tanaka into the "45-55 years old" age group based on his age.

[0753] 3. Selecting a talk script:

[0754] The server selects a talk script template for the "45-55 age group."

[0755] 4. Customizing the talk script:

[0756] The server customizes the talk script based on Tanaka's profile data, including topics such as "recent AI technologies" and "music trends."

[0757] 5. Send a customized talk script:

[0758] The customized talk script is sent from the server to Mr. Tanaka's terminal.

[0759] 6. Initiating the conversation and analyzing emotions:

[0760] When Ms. Tanaka begins a conversation, the device sends voice and text data to the emotion engine in real time. The emotion engine determines that "Ms. Tanaka is tired."

[0761] 7. Talk script updated:

[0762] Based on the sentiment data, the server updates the talk script and changes it to a more relaxed tone.

[0763] 8. Send the updated talk script:

[0764] The server sends the updated talk script back to Tanaka's terminal, and the conversation continues.

[0765] Example of a prompt

[0766] Based on the profile data of a 45-year-old IT engineer living in Tokyo with an interest in music, customize a talk script about recent AI technology and music trends. Also, if the emotion engine detects that the user is tired during the conversation, update the talk script with more relaxing content.

[0767] The above describes a specific embodiment of this system. This system makes it possible to provide optimal interactions in real time based on the user's personalized data and emotional state.

[0768] The flow of the specific processing in Example 2 will be explained using Figure 13.

[0769] Step 1: User Login

[0770] The user enters their username and password on the device's login screen and clicks the "Login" button. The entered information is sent from the device to the server, which receives it. The server performs authentication, and if successful, proceeds to the next step. The input is the username and password, and the output is the authentication result.

[0771] Step 2: Retrieve profile data from the database

[0772] The server retrieves the authenticated user's profile data from a database. Examples of databases used include MySQL and PostgreSQL. The input is the user's authentication information, and the output is profile data. Required fields include date of birth, occupation, interests, and location.

[0773] Step 3: Age group determination

[0774] The server analyzes the acquired profile data and determines the user's age group based on their actual age. Using an age group classification algorithm, it might classify the user into a group such as "45-55 years old." The input is the age information from the profile data, and the output is a specific age group.

[0775] Step 4: Selecting a Talk Script Template

[0776] The server selects a corresponding talk script template from its library based on the determined age group. The templates are stored in text files or a database on the server. The input is age group information, and the output is a talk script template.

[0777] Step 5: Customization with personalized data

[0778] The server customizes the selected talk script template based on personalized data such as the user's occupation, interests, and location. For example, if the user is an IT engineer and interested in music, topics such as "recent AI technologies" and "music trends" will be added. The input is profile data and a talk script template, and the output is the customized talk script.

[0779] Step 6: Send the initial talk script

[0780] The server sends a customized talk script to the user's terminal. The terminal displays the talk script, allowing the user to begin the conversation. The input is the customized talk script, and the output is the sending and display of the script to the terminal.

[0781] Step 7: Start the user interaction

[0782] The user initiates a conversation based on a talk script displayed on the device. The user's responses are recorded in audio or text format. The input is a customized talk script, and the output is the user's response data.

[0783] Step 8: Sentiment analysis of voice and text

[0784] The device transmits the user's voice and text input to the emotion engine in real time. The emotion engine uses the Google Cloud Speech-to-Text API for voice analysis and natural language processing technologies such as NLTK and SpaCy for text analysis. The input is the user's voice and text data, and the output is emotion data.

[0785] Step 9: Updating the talk script based on sentiment data

[0786] The server receives emotion data sent from the emotion engine and updates the talk script in real time based on it. For example, if the user's emotion is determined to be "tired," the script is changed to something more relaxing. The input is emotion data and a customized talk script, and the output is the updated talk script.

[0787] Step 10: Send the updated talk script

[0788] The server resends the updated talk script to the user's terminal. The terminal displays it again, and the user can continue the conversation. The input is the updated talk script, and the output is the resending and display of the script to the terminal.

[0789] Step 11: Continuous dialogue and adaptation

[0790] The user continues the conversation based on the provided talk script. The server and sentiment engine monitor the user's conversation content and sentiment data, and further customize and update the talk script as needed. The input is the audio or text data of the ongoing conversation, and the output is the adapted new talk script.

[0791] (Application Example 2)

[0792] Next, we will explain application example 2. In the following explanation, the data processing device 12 will be referred to as the "server," and the smart glasses 214 will be referred to as the "terminal."

[0793] Conventional security monitoring systems have the drawback of not adequately considering user emotions and stress levels, making it difficult to implement effective security measures based on the user's mental state. Furthermore, customization based solely on user profile data results in uniform talk scripts, making it difficult to provide specific advice tailored to individual situations.

[0794] The specific processing performed by the specific processing unit 290 of the data processing device 12 in Application Example 2 is realized by the following means.

[0795] In this invention, the server includes means for acquiring user profile data, means for determining the user's age group based on the profile data, means for selecting a talk script template corresponding to the age group, means for customizing the talk script template based on the profile data, means for analyzing the user's emotional data using the emotional engine, means for updating the talk script based on the emotional data, and means for sending the customized and updated talk script to the user terminal. This makes it possible to provide real-time advice on optimal security measures based on the user's profile data and emotional data.

[0796] "User profile data" refers to information about the user, including date of birth, occupation, interests, and location.

[0797] "Age group" refers to a specific range of users classified based on their age.

[0798] A "talk script template" is a pre-defined dialogue scenario template in a format suitable for a specific age group or situation.

[0799] "Methods of customization" refer to methods of individually adjusting talk script templates based on user profile data and sentiment data, transforming them into conversations optimized for the user.

[0800] An "emotion engine" is software or hardware that analyzes a user's voice or text input to determine their emotions.

[0801] "Emotional data" refers to data that indicates the user's current emotional state, obtained as a result of analysis by the emotion engine.

[0802] "User terminal" refers to a device used by a user, and includes smartphones, tablets, personal computers, etc.

[0803] A "server" is a computer system that stores, processes, and manages data over a network and communicates with user terminals.

[0804] This invention provides a system that delivers optimized talk scripts based on user profile data and sentiment data, enabling security monitoring assistant functionality for the user. The system includes the following main components:

[0805] 1. Server:

[0806] The server retrieves the user's profile data and determines the user's age group based on it. Next, it selects a talk script template corresponding to the determined age group and customizes it based on the profile data and sentiment data. Upon receiving the sentiment data analyzed by the sentiment engine, the server updates the talk script and sends the optimized content to the user's terminal.

[0807] 2. Terminal:

[0808] The device (such as a smartphone or tablet) displays customized and updated talk scripts sent from the server to the user. It also plays a role in sending user input and dialogue to the emotion engine to generate emotion data and providing feedback to the server.

[0809] 3. User:

[0810] The user interacts according to a talk script provided through the device. The input text and voice are analyzed by an emotion engine, and emotion data is generated as a result.

[0811] 4. Emotional Engine:

[0812] The emotion engine analyzes the user's voice and text input in real time to determine the user's emotional state. The emotion data is sent to the server and used to update the talk script.

[0813] Examples

[0814] When a user logs into the security monitoring assistant application, the following processes occur:

[0815] Data acquisition:

[0816] The server retrieves user profile data (age, occupation, interests, region, etc.) from the database.

[0817] Age group determination:

[0818] The server determines the user's age group based on the acquired profile data. For example, if the user is 45 years old, they will be classified into the "45-55" age group.

[0819] Talk script selection:

[0820] The server selects a talk script template from the library that is appropriate for the corresponding age group.

[0821] Talk script customization:

[0822] The server customizes the talk script based on the user's profile data. This profile data includes information related to the user's occupation, interests, and location.

[0823] Emotion analysis:

[0824] When a user initiates a conversation according to a talk script, the device sends that input to the emotion engine, which then generates emotion data.

[0825] Script update and submission:

[0826] The server receives the generated emotion data, updates the talk script based on it, and sends it back to the user's terminal.

[0827] For example, if a user types "I'm worried about security today," the emotion engine analyzes this input and determines that the user is worried. The server receives this emotion data, updates the talk script with encouraging content such as "Don't worry, everything is fine," and sends it to the user's terminal. This allows the user to receive optimal security advice in real time.

[0828] This invention enables the provision of more advanced and personalized security measures by combining user profile data and emotion data. To realize this system, hardware and software such as servers, terminals, and emotion engines work together in coordination.

[0829] The flow of a specific process in Application Example 2 will be explained using Figure 14.

[0830] Step 1:

[0831] When a user logs in, the server retrieves the user's profile data (date of birth, occupation, interests, region, etc.) from the database. This allows the server to understand the user's basic information.

[0832] Step 2:

[0833] The server determines the user's age based on the acquired profile data and assigns them to an age group. For example, if the user is 45 years old, they will be classified into the "45-55" age group. Based on this determination, a corresponding talk script template is selected.

[0834] Step 3:

[0835] The server selects a talk script template from its library that corresponds to the determined age group. By selecting a template appropriate for the age group, the server is ready to provide a conversation scenario suitable for the user.

[0836] Step 4:

[0837] The server customizes the talk script template based on the user's profile data. For example, if the user's occupation is an IT engineer and their interest is music, topics related to "recent AI technologies" and "music trends" will be added to the template. This customization provides the user with personalized content.

[0838] Step 5:

[0839] When a user initiates a conversation according to a talk script, the device sends the entered text and voice data to the emotion engine. The emotion engine analyzes this data and generates emotion data. For example, in response to the input "I'm worried," the emotion engine determines that the emotion is "worried."

[0840] Step 6:

[0841] The server receives emotion data sent from the emotion engine. Based on the received emotion data, it updates the talk script as needed. For example, if the user's emotion is determined to be "sad," the server customizes the talk script to add words of encouragement.

[0842] Step 7:

[0843] The server sends customized and updated talk scripts to the user's terminal. The terminal displays them to the user in text or audio format. This allows the user to receive optimal security advice in real time.

[0844] Step 8:

[0845] The user continues the conversation based on the updated talk script. This conversation content and sentiment data are monitored in real time, and new talk scripts are generated as needed. This loop ensures that the user receives the best possible support.

[0846] The specific processing unit 290 transmits the result of the specific processing to the smart glasses 214. In the smart glasses 214, the control unit 46A causes the speaker 240 to output the result of the specific processing. The microphone 238 acquires audio indicating user input for the result of the specific processing. The control unit 46A transmits the audio data indicating user input acquired by the microphone 238 to the data processing unit 12. In the data processing unit 12, the specific processing unit 290 acquires the audio data.

[0847] Data generation model 58 is a type of so-called generative AI (Artificial Intelligence). One example of data generation model 58 is ChatGPT (Internet search<URL: https: / / openai.com / blog / chatgpt> ), Gemini (Internet search) <url: https: gemini.google.com ?hl="ja">Examples of generative AI include the following. The data generation model 58 is obtained by performing deep learning on a neural network. The data generation model 58 is input with prompts containing instructions, and with inference data such as audio data representing speech, text data representing text, and image data representing images. The data generation model 58 infers from the input inference data according to the instructions indicated by the prompts, and outputs the inference results in data formats such as audio data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization.

[0848] In the above embodiment, an example was given in which specific processing is performed by the data processing device 12, but the technology of this disclosure is not limited thereto, and the specific processing may also be performed by the smart glasses 214.

[0849] [Third Embodiment]

[0850] Figure 5 shows an example of the configuration of the data processing system 310 according to the third embodiment.

[0851] As shown in Figure 5, the data processing system 310 includes a data processing device 12 and a headset terminal 314. An example of the data processing device 12 is a server.

[0852] The data processing device 12 comprises a computer 22, a database 24, and a communication interface 26. The computer 22 is an example of a "computer" related to the technology of this disclosure. The computer 22 comprises a processor 28, RAM 30, and storage 32. The processor 28, RAM 30, and storage 32 are connected to a bus 34. The database 24 and the communication interface 26 are also connected to the bus 34. The communication interface 26 is connected to a network 54. An example of the network 54 is a WAN (Wide Area Network) and / or a LAN (Local Area Network).

[0853] The headset terminal 314 includes a computer 36, a microphone 238, a speaker 240, a camera 42, a communication interface 44, and a display 343. The computer 36 includes a processor 46, RAM 48, and storage 50. The processor 46, RAM 48, and storage 50 are connected to a bus 52. The microphone 238, speaker 240, camera 42, and display 343 are also connected to the bus 52.

[0854] The microphone 238 receives voice signals from the user 20 and receives instructions from the user 20. The microphone 238 captures the voice signals from the user 20, converts the captured voice into audio data, and outputs it to the processor 46. The speaker 240 outputs audio according to the instructions from the processor 46.

[0855] Camera 42 is a small digital camera equipped with an optical system including a lens, aperture, and shutter, and an image sensor such as a CMOS (Complementary Metal-Oxide-Semiconductor) image sensor or a CCD (Charge Coupled Device) image sensor, and captures images of the area around the user 20 (for example, an imaging range defined by a field of view equivalent to the width of a typical healthy person's field of vision).

[0856] Communication interface 44 is connected to network 54. Communication interfaces 44 and 26 are responsible for the exchange of various information between processor 46 and processor 28 via network 54. The exchange of various information between processor 46 and processor 28 using communication interfaces 44 and 26 is performed in a secure manner.

[0857] Figure 6 shows an example of the main functions of the data processing device 12 and the headset terminal 314. As shown in Figure 6, the data processing device 12 performs specific processing using the processor 28. The storage 32 stores the specific processing program 56.

[0858] The specific processing program 56 is an example of a "program" relating to the technology of this disclosure. The processor 28 reads the specific processing program 56 from the storage 32 and executes the read specific processing program 56 on the RAM 30. The specific processing is realized by the processor 28 operating as a specific processing unit 290 in accordance with the specific processing program 56 executed on the RAM 30.

[0859] The storage 32 stores the data generation model 58 and the emotion identification model 59. The data generation model 58 and the emotion identification model 59 are used by the identification processing unit 290.

[0860] In the headset terminal 314, the processor 46 performs the reception output processing. The storage 50 stores the reception output program 60. The processor 46 reads the reception output program 60 from the storage 50 and executes the read reception output program 60 on the RAM 48. The reception output processing is realized by the processor 46 operating as a control unit 46A according to the reception output program 60 executed on the RAM 48.

[0861] Next, the specific processing performed by the specific processing unit 290 of the data processing device 12 will be described. In the following description, the data processing device 12 will be referred to as the "server" and the headset terminal 314 will be referred to as the "terminal".

[0862] This invention is a system that provides optimal talk scripts tailored to the user's age and interests. This system consists of three main elements: a server, a terminal, and the user.

[0863] Overall System Overview

[0864] The server is responsible for retrieving user profile data, determining age group, selecting a talk script template, and further customizing it using personalized data. The customized talk script is then sent to the user's device.

[0865] The terminal displays the talk script received from the server to the user, allowing the user to begin a conversation. It also sends the user's responses and actions to the server in real time, enabling the server to generate new talk scenarios based on this information.

[0866] Users engage in conversations based on talk scripts provided through their devices. This enables information provision and communication optimized to individual needs.

[0867] Explanation of the program's processing details

[0868] 1. Data acquisition and storage:

[0869] When a user logs into the application, the server retrieves the user's profile data from the database. This profile data includes the user's date of birth, age, occupation, interests, and location.

[0870] 2. Determining the age group:

[0871] The server determines the user's age group based on the acquired date of birth and age information. For example, if a user is 45 years old, they will be classified into the "45-55" age group.

[0872] 3. Selection of a talk script template:

[0873] The server selects a talk script template from its library that corresponds to the determined age group. This template contains dialogue content optimized for that age group.

[0874] 4. Customizing the talk script:

[0875] The server uses personalized data such as the user's occupation, interests, and location to customize the selected talk script template. For example, if the user is an IT engineer and interested in music, topics related to "recent AI technologies" and "music trends" will be added to the talk script.

[0876] 5. Sending and displaying talk scripts:

[0877] The customized talk script is sent from the server to the user's device. The device then displays the received talk script to the user in text or audio format.

[0878] 6. Conducting dialogue:

[0879] The user initiates a conversation based on the displayed talk script. The server monitors the user's conversation and actions in real time, using this information as a reference when generating new talk scripts.

[0880] Explanation of specific examples

[0881] Let's take the example of Mr. Tanaka (45 years old, living in Tokyo, IT engineer) logging into the app.

[0882] Data acquisition:

[0883] The server retrieves Tanaka's profile data (age 45, IT engineer, interested in music, lives in Tokyo) from the database.

[0884] Age group determination:

[0885] The server classifies Mr. Tanaka into the "45-55 years old" age group based on his age.

[0886] Talk script selection:

[0887] The server selects a talk script template for "45-55 year olds" from its library.

[0888] Talk script customization:

[0889] The server takes Tanaka's profession and interests into consideration and customizes the talk script by adding topics related to "recent AI technology" and "music trends."

[0890] Sending and displaying the talk script:

[0891] The customized talk script is sent to Tanaka's smartphone, where he receives it as text.

[0892] Conduct a dialogue:

[0893] Based on the displayed information, Ms. Tanaka begins a conversation by saying, "It's a nice day today, isn't it? Are you surprised by the recent advancements in AI technology?"

[0894] In this way, the system can provide optimal interactions tailored to the user's attributes.

[0895] The following describes the processing flow.

[0896] Step 1:

[0897] The user logs into the application. The device sends the login information to the server.

[0898] Step 2:

[0899] The server retrieves profile data from the database based on the user's login information. This profile data includes the user's date of birth, age, occupation, interests, and region.

[0900] Step 3:

[0901] The server analyzes the acquired profile data and determines the user's age group based on their actual age. For example, if a user is 45 years old, they will be classified into the "45-55" age group.

[0902] Step 4:

[0903] The server selects a talk script template from its library that corresponds to the determined age group. For example, it might select a talk script template for "ages 45-55".

[0904] Step 5:

[0905] The server customizes selected talk script templates based on the user's other profile data (occupation, interests, location, etc.). For example, if the user is an IT engineer and interested in music, topics related to "recent AI technologies" and "music trends" will be added to the talk script.

[0906] Step 6:

[0907] The server sends a customized talk script to the user's device.

[0908] Step 7:

[0909] The device displays the received talk script to the user. For example, it may be displayed in text format or audio format.

[0910] Step 8:

[0911] The user initiates a conversation based on the displayed talk script. For example, the conversation might start with something like, "It's a nice day today. Are you amazed by the recent advancements in AI technology?"

[0912] Step 9:

[0913] The server monitors the user's conversation in real time and generates new talk scenarios as needed. These generated talk scripts are also customized and sent to the user's device.

[0914] (Example 1)

[0915] Next, we will describe Example 1. In the following description, the data processing device 12 will be referred to as the "server," and the headset-type terminal 314 will be referred to as the "terminal."

[0916] Traditional systems struggled to provide personalized conversations for each user, resulting in inconsistent conversation quality and user experience. Furthermore, providing more personalized conversations by reflecting user responses and actions in real time was also a challenge.

[0917] The identification process performed by the identification processing unit 290 of the data processing device 12 in Example 1 is realized by the following means.

[0918] In this invention, the server includes means for acquiring user profile data, means for determining age group, means for selecting a talk script template, means for customizing the talk script template, means for sending the customized talk script to the user terminal, and means for monitoring user responses and actions in real time and generating a new talk script based on feedback. This makes it possible to provide optimized dialogue content based on the user's profile data in real time.

[0919] "Profile data" refers to information that includes individual characteristics of the user, such as age, occupation, interests, and region.

[0920] "Age group" refers to a specific age range that is categorized based on the user's age.

[0921] A "talk script template" refers to a general-purpose dialogue framework created based on a specific age group or interests.

[0922] "Customization" refers to the process of adapting selected talk script templates to individual users based on their profile data.

[0923] "User terminal" refers to devices such as smartphones and personal computers used by the user.

[0924] "Real-time monitoring" refers to the immediate observation of user responses and actions, and the immediate processing of necessary data.

[0925] "Feedback" refers to guidelines for system modifications and optimizations based on information obtained from user responses and actions.

[0926] A "talk script" refers to the dialogue content and messages provided by the system.

[0927] Modes for carrying out the invention

[0928] This invention is a system that provides optimal talk scripts tailored to the user's age and interests. This system consists of three main elements: a server, a terminal, and the user.

[0929] The server is responsible for retrieving user profile data, determining age group, selecting a talk script template, and further customizing it using personalized data. The customized talk script is then sent to the user's device.

[0930] The terminal displays the talk script received from the server to the user, allowing the user to begin a conversation. It also sends the user's responses and actions to the server in real time, enabling the server to generate a new talk script based on this information.

[0931] Users engage in conversations based on talk scripts provided through their devices. This enables information provision and communication optimized to individual needs.

[0932] Hardware and software to be used

[0933] Server: Includes infrastructure connected to a high-performance database. Processing takes place on cloud platforms such as AWS or Google Cloud.

[0934] Device: A user's device, such as a smartphone or computer. This includes iOS, Android, Windows, and macOS.

[0935] Generative AI model: An AI model used to generate talk scripts. Examples include OpenAI's GPT-3 and Google's BERT.

[0936] Specific example

[0937] The following is a specific example from Mr. Tanaka (45 years old, living in Tokyo, IT engineer).

[0938] 1. User login:

[0939] Mr. Tanaka enters his user ID and password into the application and logs in.

[0940] 2. Obtaining profile data:

[0941] After confirming Tanaka's login, the server retrieves Tanaka's profile data (age 45, IT engineer, interested in music, lives in Tokyo) from the database.

[0942] 3. Determining the age group:

[0943] Based on the date of birth and age information obtained, the server classifies Ms. Tanaka into the "45-55 years old" age group.

[0944] 4. Selection of a talk script template:

[0945] The server selects a talk script template for "45-55 year olds" from its library.

[0946] 5. Customizing the talk script:

[0947] The server takes Tanaka's profession and interests into consideration and customizes the talk script by adding topics related to "recent AI technology" and "music trends."

[0948] 6. Send the talk script:

[0949] The customized talk script will be sent to Ms. Tanaka's smartphone.

[0950] 7. Display the talk script:

[0951] Tanaka's smartphone displays the received talk script in text format.

[0952] 8. Initiating the dialogue and providing real-time feedback:

[0953] Based on the displayed talk script, Ms. Tanaka begins a conversation with phrases like, "It's a nice day today, isn't it? Are you surprised by the recent advancements in AI technology?" While Ms. Tanaka is having the conversation, her smartphone sends the content of the conversation to the server in real time. The server uses this information to improve the next talk script provided, enhancing Ms. Tanaka's conversational experience.

[0954] Example of a prompt

[0955] The prompt text to input into the generative AI model is as follows:

[0956] User profile information:

[0957] Age: 45

[0958] Occupation: IT Engineer

[0959] Interests: Music

[0960] Region: Tokyo

[0961] Select a template to generate an appropriate talk script, and create a talk script that meets the following conditions:

[0962] 1. Recent topics related to AI technology

[0963] 2. Topics related to music trends

[0964] As described above, the present invention makes it possible to provide optimal dialogue tailored to the user's attributes.

[0965] The flow of the specific processing in Example 1 will be explained using Figure 11.

[0966] Step 1:

[0967] User login

[0968] The user enters their user ID and password in the application to log in.

[0969] Input: User ID and password.

[0970] Output: Authentication success message and session start.

[0971] Specific action: The user enters their ID and password into the form and presses the authentication button.

[0972] Step 2:

[0973] Acquisition of profile data

[0974] The server receives the user ID after a successful login and retrieves the corresponding user's profile data from the database.

[0975] Input: User ID.

[0976] Output: Profile data (e.g., age, occupation, interests, region).

[0977] Specific operation: The server queries the database and retrieves user information.

[0978] Step 3:

[0979] Age group determination

[0980] The server determines the user's age group based on the acquired profile data.

[0981] Input: Date of birth or age.

[0982] Output: Age group (e.g., "45-55 years old").

[0983] Specific operation: The server compares the date of birth with the current date, calculates the age, and classifies the user into the appropriate age group.

[0984] Step 4:

[0985] Selection of a talk script template

[0986] The server selects a talk script template from the library that corresponds to the determined age group.

[0987] Input: Age group.

[0988] Output: Talk script template.

[0989] Specific operation: The server searches for and selects an appropriate template from the library based on the age group.

[0990] Step 5:

[0991] Customization based on personalized data

[0992] The server uses personalized data such as the user's occupation, interests, and location to optimize the selected talk script template for each individual user.

[0993] Input: Talk script template, profile data (occupation, interests, region).

[0994] Output: Customized talk script.

[0995] Specific operation: The server parses the template and adds content based on the user's interests and occupation.

[0996] Step 6:

[0997] Sending the talk script

[0998] The server sends a customized talk script to the user's device.

[0999] Input: Customized talk script.

[1000] Output: Message indicating that the talk script has been successfully sent to the terminal.

[1001] Specific operation: The server sends the talk script to the terminal using a communication protocol (e.g., HTTP or WebSocket).

[1002] Step 7:

[1003] Displaying the talk script

[1004] The terminal displays the talk script received from the server to the user in text or audio format.

[1005] Input: Customized talk script.

[1006] Output: Display of the talk script (text or audio).

[1007] Specific operation: The device provides the user with the content of the conversation using a screen that displays text or an audio output function.

[1008] Step 8:

[1009] Initiating a dialogue and providing real-time feedback

[1010] The user initiates the conversation based on the displayed talk script.

[1011] The device sends user responses and actions to the server in real time.

[1012] The server generates a new talk script based on that information.

[1013] Input: User responses and behavioral information.

[1014] Output: New talk script.

[1015] Specific operation: The user engages in dialogue, the content of which is sent to the server via the terminal, the server analyzes it, and generates the next dialogue.

[1016] The above describes the specific processing flow of this system's program.

[1017] (Application Example 1)

[1018] Next, we will explain Application Example 1. In the following explanation, the data processing device 12 will be referred to as the "server," and the headset-type terminal 314 will be referred to as the "terminal."

[1019] In modern brick-and-mortar stores, personalized customer service tailored to each customer's different interests and age group is essential. However, it is difficult for staff to instantly provide appropriate conversation content for each customer, often resulting in standardized service. This can lead to decreased customer satisfaction and, consequently, a decline in sales. Therefore, there is a need for a system that dynamically provides personalized conversation scripts based on the customer's age and interests.

[1020] The specific processing performed by the specific processing unit 290 of the data processing device 12 in Application Example 1 is realized by the following means.

[1021] In this invention, the server includes means for acquiring user profile data, means for determining the user's age group based on the profile data, means for selecting a talk script template corresponding to the age group, means for customizing the talk script template based on the profile data, means for transmitting the customized talk script to the user terminal, and means for providing the customized talk script via a display device worn by store staff. This enables staff to provide customer service using talk scripts individually optimized for each customer, thereby improving customer satisfaction and store sales.

[1022] "Profile data" refers to individual attribute information such as a user's date of birth, occupation, interests, and region.

[1023] "Age group" refers to a group classified based on the user's age.

[1024] A "talk script template" refers to a predefined topic template that includes dialogue content tailored to a specific age group.

[1025] "Customization" refers to individually optimizing talk script templates based on the user's profile data.

[1026] "User terminal" refers to electronic devices that a user can access, such as smartphones and computers.

[1027] A "display device" refers to a device that allows a user to visually confirm information, such as smart glasses or a head-mounted display.

[1028] This invention provides a system to support customer service in physical stores. The invention is implemented using a server, a user terminal, and a display device.

[1029] server:

[1030] The server retrieves user profile data and determines their age group. It then selects a template from its stored talk script templates that corresponds to the determined age group, and further customizes it based on the profile data. This generates a personalized talk script for each individual user. For example, the profile data includes the user's date of birth, occupation, interests, and region, which are used to provide the most appropriate dialogue.

[1031] User terminal:

[1032] The user terminal receives and displays a customized talk script sent from the server. Examples of user terminals include smartphones and computers. This terminal also plays a role in acquiring data and sending it to the server.

[1033] Display device:

[1034] Display devices include smart glasses and head-mounted displays worn by store staff. Through these devices, staff can access customized talk scripts in real time, enabling them to provide appropriate dialogue for each customer.

[1035] Specific example:

[1036] For example, if a 45-year-old IT professional with an interest in music visits a store, the server selects a talk script template corresponding to the "45-55 age group" based on the user's profile data. Based on this, a talk script is customized to include topics related to recent AI technology and music trends. This talk script is displayed in real time on the store staff's smart glasses.

[1037] Example of a prompt:

[1038] Based on the following information, please generate the optimal customer service talk script:

[1039] Age: 45

[1040] Occupation: IT professional

[1041] Interests: Music

[1042] Thus, the present invention provides a system for providing highly personalized service in physical stores. This makes it possible to improve customer satisfaction and store sales.

[1043] The flow of a specific process in Application Example 1 will be explained using Figure 12.

[1044] Step 1:

[1045] The server receives a login request from the user's terminal and retrieves the user's profile data. This request includes a user ID, and the server uses this ID to retrieve information such as the user's date of birth, occupation, interests, and region from the database. The retrieved profile data is stored in memory. The input is the user ID, and the output is the profile data.

[1046] Step 2:

[1047] The server determines the user's age group based on the acquired profile data. It calculates the user's current age based on the date of birth in the profile data and classifies that age into a predefined age group. For example, a 45-year-old user would be classified into the "45-55" group. The input is profile data, and the output is the age group.

[1048] Step 3:

[1049] The server selects a talk script template corresponding to the determined age group. This selection is done by searching for and loading an appropriate template from the template library corresponding to the age group. The input is the age group, and the output is the talk script template.

[1050] Step 4:

[1051] The server customizes selected talk script templates using the user's profile data, such as occupation, interests, and location. Specifically, it replaces the template's placeholders with information based on the profile data. For example, if the user's occupation is an IT professional and their interest is music, topics such as "recent AI technologies" and "music trends" will be added. The input is the talk script template and profile data, and the output is the customized talk script.

[1052] Step 5:

[1053] The customized talk script is sent from the server to the user's device. The user's device (e.g., a smartphone or computer) displays the received customized talk script in text or audio format. The input is the customized talk script, and the output is the information displayed on the user's device.

[1054] Step 6:

[1055] The terminal simultaneously transmits the talk script to a display device (smart glasses or head-mounted display) worn by the staff. The staff interacts with customers while referring to the customized talk script on the display device. The input is the customized talk script, and the output is the information displayed on the display device.

[1056] Furthermore, an emotion engine that estimates the user's emotions may be incorporated. That is, the identification processing unit 290 may use the emotion identification model 59 to estimate the user's emotions and perform identification processing using the user's emotions.

[1057] This invention is a system that provides an optimal talk script by taking into account not only the user's age and interests, but also their emotions. In addition to a server, terminal, and user, this system includes an emotion engine that recognizes the user's emotions.

[1058] Overall System Overview

[1059] The server retrieves user profile data, determines age group, selects a talk script template, and further customizes it using personalized data and sentiment engine results. The customized talk script is then sent to the user's device.

[1060] The terminal displays the talk script received from the server to the user, allowing the user to begin a conversation. It also analyzes the user's responses and sends emotional data to the server via the emotion engine.

[1061] The user engages in dialogue based on a talk script provided through the device. The emotion engine recognizes the user's emotions from these dialogues and inputs.

[1062] The emotion engine analyzes the user's voice and text input to determine their emotions. Based on this, the server customizes the talk script more appropriately.

[1063] Explanation of the program's processing details

[1064] 1. Data acquisition and storage:

[1065] When a user logs into the application, the server retrieves profile data from the database. This data includes date of birth, age, occupation, interests, and location.

[1066] 2. Determining the age group:

[1067] The server analyzes the acquired profile data and determines the user's age group based on their actual age. For example, if a user is 45 years old, they will be classified into the "45-55" age group.

[1068] 3. Selection of a talk script template:

[1069] The server selects a talk script template from the library that corresponds to the determined age group.

[1070] 4. Customizing the talk script:

[1071] The server sets the initial settings for the emotional state that will be sent later, by defining the user's physical data and the corresponding talk script.

[1072] 5. Obtaining customized data:

[1073] The server further customizes the talk script using personalized data such as the user's occupation, interests, and location. For example, if the user is an IT engineer and interested in music, topics related to "recent AI technologies" and "music trends" will be added to the talk script.

[1074] 6. Utilizing the Emotional Engine:

[1075] When a user initiates a conversation using a talk script, the device sends the user's voice and text to the emotion engine in real time. The emotion engine analyzes this data and generates the user's emotion data.

[1076] 7. Feedback on emotional data:

[1077] The server receives emotion data sent from the emotion engine and updates the talk script accordingly. For example, if the user's emotion is determined to be "sad," the script is customized to be more encouraging.

[1078] 8. Sending and displaying talk scripts:

[1079] A customized talk script, reflecting emotional data, is sent from the server to the user's device. The device then displays this script to the user in text or audio format.

[1080] 9. Conducting dialogue:

[1081] The user engages in dialogue based on the displayed talk script. The server monitors the user's dialogue content and sentiment data in real time and generates new talk scenarios as needed.

[1082] Explanation of specific examples

[1083] Let's take the example of Mr. Tanaka (45 years old, living in Tokyo, IT engineer) logging into the app.

[1084] Data acquisition:

[1085] The server retrieves Tanaka's profile data (age 45, IT engineer, interested in music, lives in Tokyo).

[1086] Age group determination:

[1087] The server classifies Mr. Tanaka into the "45-55 years old" age group based on his age.

[1088] Talk script selection:

[1089] The server selects a talk script template for the "45-55 age group."

[1090] Talk script customization:

[1091] The server customizes the talk script based on Tanaka's profile data, adding topics related to "recent AI technologies" and "music trends."

[1092] Utilizing the emotional engine:

[1093] When Ms. Tanaka begins a conversation, the device sends voice and text to the emotion engine to generate emotion data. If the server determines that Ms. Tanaka is tired, it customizes the talk script to be more relaxing.

[1094] Feedback on emotional data:

[1095] The server receives emotion data from the emotion engine and updates the talk script accordingly to make it more appropriate.

[1096] Sending and displaying the talk script:

[1097] The updated talk script is sent to Tanaka's device and displayed in text and audio formats.

[1098] Conduct a dialogue:

[1099] Ms. Tanaka engages in a conversation where she says, "I'm feeling restless today, but talking about the recent advancements in AI technology makes me feel better."

[1100] In this way, it is possible to provide optimal dialogue tailored to the user's attributes, including their emotions.

[1101] The following describes the processing flow.

[1102] Step 1:

[1103] The user logs into the application. The device sends the login information to the server.

[1104] Step 2:

[1105] The server retrieves profile data from the database based on the user's login information. This profile data includes date of birth, age, occupation, interests, and region.

[1106] Step 3:

[1107] The server analyzes the acquired profile data and determines the user's age group based on their actual age. For example, if a user is 45 years old, they will be classified into the "45-55" age group.

[1108] Step 4:

[1109] The server selects a talk script template from its library that corresponds to the determined age group. For example, it might select a talk script template for "ages 45-55".

[1110] Step 5:

[1111] The server customizes selected talk script templates based on the user's other profile data (occupation, interests, location, etc.). For example, if the user is an IT engineer and interested in music, topics related to "recent AI technologies" and "music trends" will be added to the talk script.

[1112] Step 6:

[1113] The server sends a customized talk script to the user's device.

[1114] Step 7:

[1115] The device displays the received talk script to the user. For example, it may be displayed in text format or audio format.

[1116] Step 8:

[1117] The user initiates a conversation based on the displayed talk script. For example, the conversation might start with something like, "It's a nice day today. Are you amazed by the recent advancements in AI technology?"

[1118] Step 9:

[1119] The user either types the conversation into the device or speaks it aloud. The device then sends this input data to the emotion engine in real time.

[1120] Step 10:

[1121] The emotion engine analyzes the user's voice and text input to determine their emotions. For example, it can identify emotions such as "tired" from the user's tone of voice and the words they use.

[1122] Step 11:

[1123] When the server receives emotion data from the emotion engine, it uses this to further customize the talk script. For example, if the server determines that the user is "sad," it updates the talk script to include words of encouragement.

[1124] Step 12:

[1125] The server resends the customized new talk script to the user's device.

[1126] Step 13:

[1127] The device displays the updated talk script to the user. The user then continues the conversation based on the displayed talk script.

[1128] Step 14:

[1129] The server monitors user dialogue and emotional data in real time, and generates and injects new dialogue scenarios as needed. This ensures that user interactions are always optimized.

[1130] (Example 2)

[1131] Next, we will describe Example 2. In the following description, the data processing device 12 will be referred to as the "server," and the headset-type terminal 314 will be referred to as the "terminal."

[1132] Traditional talk script systems provided scripts based on the user's age and interests, but they failed to consider the user's emotions. Therefore, it was difficult to engage in appropriate conversations that reflected the user's current emotional state. Furthermore, real-time emotion analysis and subsequent script updates were not performed, limiting the user experience.

[1133] The identification processing by the identification processing unit 290 of the data processing device 12 in Example 2 is realized by the following means. In this invention, the server includes means for acquiring user profile data, means for determining the user's age group based on the profile data, means for selecting a talk script template corresponding to the age group, means for customizing the talk script template based on the profile data, means for sending the customized talk script to the user terminal, means for sending the user's voice and text to the emotion engine in real time when the user starts a conversation, means for the emotion engine to generate user emotion data and update the talk script appropriately using the emotion data, and means for sending the updated talk script to the user terminal again. This makes it possible to provide personalized conversations in real time based not only on the user's age and interests but also on their emotional state.

[1134] A "user" refers to a person who uses the system.

[1135] "Profile data" refers to data that includes personal information such as the user's date of birth, occupation, interests, and location.

[1136] "Age group" refers to a group classified based on the user's age.

[1137] A "talk script template" refers to a conversation script tailored to a specific age group.

[1138] A "customized talk script" refers to a conversation script that has been tailored based on the user's profile data.

[1139] "User terminal" refers to devices such as computers, smartphones, and tablets used by users.

[1140] "Dialogue" refers to conversations and communication that take place between the user and the system.

[1141] An "emotion engine" refers to software that analyzes a user's voice or text to determine their emotions.

[1142] "Emotional data" refers to data about the user's emotional state generated by the emotion engine.

[1143] "Update" refers to the modification of a talk script based on new information and sentiment data.

[1144] "Real-time" refers to the immediate processing and updates that occur during user interaction.

[1145] Modes for carrying out the invention

[1146] This invention is a system that provides talk scripts based on user profile data and further analyzes user emotions to realize real-time customized conversations. An embodiment of this system is described in detail below.

[1147] Overall system configuration

[1148] The server plays a central role in this system and performs the following tasks:

[1149] When a user logs in, profile data is retrieved from the database. Examples of databases used include MySQL and PostgreSQL.

[1150] The user's age group is determined based on their profile data. This determination is performed using an algorithm that classifies ages into specific ranges.

[1151] Select a talk script template that corresponds to the age group. The template is either a text file stored on the server or data stored in a database.

[1152] Customize the talk script by taking into account personalized data such as the user's occupation, interests, and location.

[1153] Send a customized talk script to the user's device.

[1154] The terminal provides an interface that connects the user and the server:

[1155] The system displays the talk script received from the server, allowing the user to begin the conversation.

[1156] It records user responses and sends the audio and text to the emotion engine.

[1157] The emotion engine analyzes the user's voice and text data to determine their emotions.

[1158] For speech analysis, we use speech recognition technologies such as Google Cloud Speech-to-Text API or IBM Watson.

[1159] For text analysis, natural language processing techniques such as libraries like NLTK and SpaCy are used.

[1160] The determined emotion data is sent to the server.

[1161] Specific example

[1162] The following is a specific example of what happens when Mr. Tanaka (45 years old, lives in Tokyo, IT engineer) logs into the system:

[1163] 1. Data acquisition:

[1164] The server retrieves Tanaka's profile data (age 45, IT engineer, interested in music, lives in Tokyo) from the database.

[1165] 2. Age group determination:

[1166] The server classifies Tanaka into the "45-55 years old" age group based on his age.

[1167] 3. Selecting a talk script:

[1168] The server selects a talk script template for the "45-55 age group."

[1169] 4. Customizing the talk script:

[1170] The server customizes the talk script based on Tanaka's profile data, including topics such as "recent AI technologies" and "music trends."

[1171] 5. Send a customized talk script:

[1172] The customized talk script is sent from the server to Mr. Tanaka's terminal.

[1173] 6. Initiating the conversation and analyzing emotions:

[1174] When Ms. Tanaka begins a conversation, the device sends voice and text data to the emotion engine in real time. The emotion engine determines that "Ms. Tanaka is tired."

[1175] 7. Talk script updated:

[1176] Based on the sentiment data, the server updates the talk script and changes it to a more relaxed tone.

[1177] 8. Send the updated talk script:

[1178] The server sends the updated talk script back to Tanaka's terminal, and the conversation continues.

[1179] Example of a prompt

[1180] Based on the profile data of a 45-year-old IT engineer living in Tokyo with an interest in music, customize a talk script about recent AI technology and music trends. Also, if the emotion engine detects that the user is tired during the conversation, update the talk script with more relaxing content.

[1181] The above describes a specific embodiment of this system. This system makes it possible to provide optimal interactions in real time based on the user's personalized data and emotional state.

[1182] The flow of the specific processing in Example 2 will be explained using Figure 13.

[1183] Step 1: User Login

[1184] The user enters their username and password on the device's login screen and clicks the "Login" button. The entered information is sent from the device to the server, which receives it. The server performs authentication, and if successful, proceeds to the next step. The input is the username and password, and the output is the authentication result.

[1185] Step 2: Retrieve profile data from the database

[1186] The server retrieves the authenticated user's profile data from a database. Examples of databases used include MySQL and PostgreSQL. The input is the user's authentication information, and the output is profile data. Required fields include date of birth, occupation, interests, and location.

[1187] Step 3: Age group determination

[1188] The server analyzes the acquired profile data and determines the user's age group based on their actual age. Using an age group classification algorithm, it might classify the user into a group such as "45-55 years old." The input is the age information from the profile data, and the output is a specific age group.

[1189] Step 4: Selecting a Talk Script Template

[1190] The server selects a corresponding talk script template from its library based on the determined age group. The templates are stored in text files or a database on the server. The input is age group information, and the output is a talk script template.

[1191] Step 5: Customization with personalized data

[1192] The server customizes the selected talk script template based on personalized data such as the user's occupation, interests, and location. For example, if the user is an IT engineer and interested in music, topics such as "recent AI technologies" and "music trends" will be added. The input is profile data and a talk script template, and the output is the customized talk script.

[1193] Step 6: Send the initial talk script

[1194] The server sends a customized talk script to the user's terminal. The terminal displays the talk script, allowing the user to begin the conversation. The input is the customized talk script, and the output is the sending and display of the script to the terminal.

[1195] Step 7: Start the user interaction

[1196] The user initiates a conversation based on a talk script displayed on the device. The user's responses are recorded in audio or text format. The input is a customized talk script, and the output is the user's response data.

[1197] Step 8: Sentiment analysis of voice and text

[1198] The device transmits the user's voice and text input to the emotion engine in real time. The emotion engine uses the Google Cloud Speech-to-Text API for voice analysis and natural language processing technologies such as NLTK and SpaCy for text analysis. The input is the user's voice and text data, and the output is emotion data.

[1199] Step 9: Updating the talk script based on sentiment data

[1200] The server receives emotion data sent from the emotion engine and updates the talk script in real time based on it. For example, if the user's emotion is determined to be "tired," the script is changed to something more relaxing. The input is emotion data and a customized talk script, and the output is the updated talk script.

[1201] Step 10: Send the updated talk script

[1202] The server resends the updated talk script to the user's terminal. The terminal displays it again, and the user can continue the conversation. The input is the updated talk script, and the output is the resending and display of the script to the terminal.

[1203] Step 11: Continuous dialogue and adaptation

[1204] The user continues the conversation based on the provided talk script. The server and sentiment engine monitor the user's conversation content and sentiment data, and further customize and update the talk script as needed. The input is the audio or text data of the ongoing conversation, and the output is the adapted new talk script.

[1205] (Application Example 2)

[1206] Next, we will explain application example 2. In the following explanation, the data processing device 12 will be referred to as the "server," and the headset-type terminal 314 will be referred to as the "terminal."

[1207] Conventional security monitoring systems have the drawback of not adequately considering user emotions and stress levels, making it difficult to implement effective security measures based on the user's mental state. Furthermore, customization based solely on user profile data results in uniform talk scripts, making it difficult to provide specific advice tailored to individual situations.

[1208] The specific processing performed by the specific processing unit 290 of the data processing device 12 in Application Example 2 is realized by the following means.

[1209] In this invention, the server includes means for acquiring user profile data, means for determining the user's age group based on the profile data, means for selecting a talk script template corresponding to the age group, means for customizing the talk script template based on the profile data, means for analyzing the user's emotional data using the emotional engine, means for updating the talk script based on the emotional data, and means for sending the customized and updated talk script to the user terminal. This makes it possible to provide real-time advice on optimal security measures based on the user's profile data and emotional data.

[1210] "User profile data" refers to information about the user, including date of birth, occupation, interests, and location.

[1211] "Age group" refers to a specific range of users classified based on their age.

[1212] A "talk script template" is a pre-defined dialogue scenario template in a format suitable for a specific age group or situation.

[1213] "Methods of customization" refer to methods of individually adjusting talk script templates based on user profile data and sentiment data, transforming them into conversations optimized for the user.

[1214] An "emotion engine" is software or hardware that analyzes a user's voice or text input to determine their emotions.

[1215] "Emotional data" refers to data that indicates the user's current emotional state, obtained as a result of analysis by the emotion engine.

[1216] "User terminal" refers to a device used by a user, and includes smartphones, tablets, personal computers, etc.

[1217] A "server" is a computer system that stores, processes, and manages data over a network and communicates with user terminals.

[1218] This invention provides a system that delivers optimized talk scripts based on user profile data and sentiment data, enabling security monitoring assistant functionality for the user. The system includes the following main components:

[1219] 1. Server:

[1220] The server retrieves the user's profile data and determines the user's age group based on it. Next, it selects a talk script template corresponding to the determined age group and customizes it based on the profile data and sentiment data. Upon receiving the sentiment data analyzed by the sentiment engine, the server updates the talk script and sends the optimized content to the user's terminal.

[1221] 2. Terminal:

[1222] The device (such as a smartphone or tablet) displays customized and updated talk scripts sent from the server to the user. It also plays a role in sending user input and dialogue to the emotion engine to generate emotion data and providing feedback to the server.

[1223] 3. User:

[1224] The user interacts according to a talk script provided through the device. The input text and voice are analyzed by an emotion engine, and emotion data is generated as a result.

[1225] 4. Emotional Engine:

[1226] The emotion engine analyzes the user's voice and text input in real time to determine the user's emotional state. The emotion data is sent to the server and used to update the talk script.

[1227] Examples

[1228] When a user logs into the security monitoring assistant application, the following processes occur:

[1229] Data acquisition:

[1230] The server retrieves user profile data (age, occupation, interests, region, etc.) from the database.

[1231] Age group determination:

[1232] The server determines the user's age group based on the acquired profile data. For example, if the user is 45 years old, they will be classified into the "45-55" age group.

[1233] Talk script selection:

[1234] The server selects a talk script template from the library that is appropriate for the corresponding age group.

[1235] Talk script customization:

[1236] The server customizes the talk script based on profile data. This profile data includes information related to the user's occupation, interests, and location.

[1237] Emotion analysis:

[1238] When a user initiates a conversation according to a talk script, the device sends that input to the emotion engine, which then generates emotion data.

[1239] Script update and submission:

[1240] The server receives the generated emotion data, updates the talk script based on it, and sends it back to the user's terminal.

[1241] For example, if a user types "I'm worried about security today," the emotion engine analyzes this input and determines that the user is worried. The server receives this emotion data, updates the talk script with encouraging content such as "Don't worry, everything is fine," and sends it to the user's terminal. This allows the user to receive optimal security advice in real time.

[1242] This invention enables the provision of more advanced and personalized security measures by combining user profile data and emotion data. To realize this system, hardware and software such as servers, terminals, and emotion engines work together in coordination.

[1243] The flow of a specific process in Application Example 2 will be explained using Figure 14.

[1244] Step 1:

[1245] When a user logs in, the server retrieves the user's profile data (date of birth, occupation, interests, region, etc.) from the database. This allows the server to understand the user's basic information.

[1246] Step 2:

[1247] The server determines the user's age based on the acquired profile data and assigns them to an age group. For example, if the user is 45 years old, they will be classified into the "45-55" age group. Based on this determination, a corresponding talk script template is selected.

[1248] Step 3:

[1249] The server selects a talk script template from its library that corresponds to the determined age group. By selecting a template appropriate for the age group, the server is ready to provide a conversation scenario suitable for the user.

[1250] Step 4:

[1251] The server customizes the talk script template based on the user's profile data. For example, if the user's occupation is an IT engineer and their interest is music, topics related to "recent AI technologies" and "music trends" will be added to the template. This customization provides the user with personalized content.

[1252] Step 5:

[1253] When a user initiates a conversation according to a talk script, the device sends the entered text and voice data to the emotion engine. The emotion engine analyzes this data and generates emotion data. For example, in response to the input "I'm worried," the emotion engine determines that the emotion is "worried."

[1254] Step 6:

[1255] The server receives emotion data sent from the emotion engine. Based on the received emotion data, it updates the talk script as needed. For example, if the user's emotion is determined to be "sad," the server customizes the talk script to add words of encouragement.

[1256] Step 7:

[1257] The server sends customized and updated talk scripts to the user's terminal. The terminal displays them to the user in text or audio format. This allows the user to receive optimal security advice in real time.

[1258] Step 8:

[1259] The user continues the conversation based on the updated talk script. This conversation content and sentiment data are monitored in real time, and new talk scripts are generated as needed. This loop ensures that the user receives the best possible support.

[1260] The specific processing unit 290 transmits the result of the specific processing to the headset terminal 314. In the headset terminal 314, the control unit 46A causes the speaker 240 and display 343 to output the result of the specific processing. The microphone 238 acquires audio indicating user input for the result of the specific processing. The control unit 46A transmits the audio data indicating user input acquired by the microphone 238 to the data processing unit 12. In the data processing unit 12, the specific processing unit 290 acquires the audio data.

[1261] Data generation model 58 is a type of so-called generative AI (Artificial Intelligence). One example of data generation model 58 is ChatGPT (Internet search<URL: https: / / openai.com / blog / chatgpt> ), Gemini (Internet search) <url: https: gemini.google.com ?hl="ja">Examples of generative AI include the following. The data generation model 58 is obtained by performing deep learning on a neural network. The data generation model 58 is input with prompts containing instructions, and with inference data such as audio data representing speech, text data representing text, and image data representing images. The data generation model 58 infers from the input inference data according to the instructions indicated by the prompts, and outputs the inference results in data formats such as audio data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization.

[1262] In the above embodiment, an example was given in which specific processing is performed by the data processing device 12, but the technology of this disclosure is not limited thereto, and specific processing may also be performed by the headset terminal 314.

[1263] [Fourth Embodiment]

[1264] Figure 7 shows an example of the configuration of the data processing system 410 according to the fourth embodiment.

[1265] As shown in Figure 7, the data processing system 410 includes a data processing device 12 and a robot 414. An example of the data processing device 12 is a server.

[1266] The data processing device 12 comprises a computer 22, a database 24, and a communication interface 26. The computer 22 is an example of a "computer" related to the technology of this disclosure. The computer 22 comprises a processor 28, RAM 30, and storage 32. The processor 28, RAM 30, and storage 32 are connected to a bus 34. The database 24 and the communication interface 26 are also connected to the bus 34. The communication interface 26 is connected to a network 54. An example of the network 54 is a WAN (Wide Area Network) and / or a LAN (Local Area Network).

[1267] The robot 414 includes a computer 36, a microphone 238, a speaker 240, a camera 42, a communication interface 44, and a controlled object 443. The computer 36 includes a processor 46, RAM 48, and storage 50. The processor 46, RAM 48, and storage 50 are connected to a bus 52. The microphone 238, speaker 240, camera 42, and controlled object 443 are also connected to the bus 52.

[1268] The microphone 238 receives voice signals from the user 20 and receives instructions from the user 20. The microphone 238 captures the voice signals from the user 20, converts the captured voice into audio data, and outputs it to the processor 46. The speaker 240 outputs audio according to the instructions from the processor 46.

[1269] Camera 42 is a small digital camera equipped with an optical system including a lens, aperture, and shutter, and an image sensor such as a CMOS (Complementary Metal-Oxide-Semiconductor) image sensor or a CCD (Charge Coupled Device) image sensor, and captures images of the area around the user 20 (for example, an imaging range defined by a field of view equivalent to the width of a typical healthy person's field of vision).

[1270] Communication interface 44 is connected to network 54. Communication interfaces 44 and 26 are responsible for the exchange of various information between processor 46 and processor 28 via network 54. The exchange of various information between processor 46 and processor 28 using communication interfaces 44 and 26 is performed in a secure manner.

[1271] The controlled object 443 includes a display device, LEDs in the eyes, and motors that drive the arms, hands, and feet. The posture and gestures of the robot 414 are controlled by controlling the motors of the arms, hands, and feet. Some of the robot 414's emotions can be expressed by controlling these motors. Furthermore, the robot 414's facial expressions can also be expressed by controlling the illumination state of the LEDs in its eyes.

[1272] Figure 8 shows an example of the main functions of the data processing device 12 and the robot 414. As shown in Figure 8, the data processing device 12 performs specific processing using the processor 28. The storage 32 stores the specific processing program 56.

[1273] The specific processing program 56 is an example of a "program" relating to the technology of this disclosure. The processor 28 reads the specific processing program 56 from the storage 32 and executes the read specific processing program 56 on the RAM 30. The specific processing is realized by the processor 28 operating as a specific processing unit 290 in accordance with the specific processing program 56 executed on the RAM 30.

[1274] The storage 32 stores the data generation model 58 and the emotion identification model 59. The data generation model 58 and the emotion identification model 59 are used by the identification processing unit 290.

[1275] In robot 414, the processor 46 performs the reception output processing. The storage 50 stores the reception output program 60. The processor 46 reads the reception output program 60 from the storage 50 and executes the read reception output program 60 on the RAM 48. The reception output processing is realized by the processor 46 operating as a control unit 46A according to the reception output program 60 executed on the RAM 48.

[1276] Next, the specific processing performed by the specific processing unit 290 of the data processing device 12 will be described. In the following description, the data processing device 12 will be referred to as the "server" and the robot 414 as the "terminal".

[1277] This invention is a system that provides optimal talk scripts tailored to the user's age and interests. This system consists of three main elements: a server, a terminal, and the user.

[1278] Overall System Overview

[1279] The server is responsible for retrieving user profile data, determining age group, selecting a talk script template, and further customizing it using personalized data. The customized talk script is then sent to the user's device.

[1280] The terminal displays the talk script received from the server to the user, allowing the user to begin a conversation. It also sends the user's responses and actions to the server in real time, enabling the server to generate new talk scenarios based on this information.

[1281] Users engage in conversations based on talk scripts provided through their devices. This enables information provision and communication optimized to individual needs.

[1282] Explanation of the program's processing details

[1283] 1. Data acquisition and storage:

[1284] When a user logs into the application, the server retrieves the user's profile data from the database. This profile data includes the user's date of birth, age, occupation, interests, and location.

[1285] 2. Determining the age group:

[1286] The server determines the user's age group based on the acquired date of birth and age information. For example, if a user is 45 years old, they will be classified into the "45-55" age group.

[1287] 3. Selection of a talk script template:

[1288] The server selects a talk script template from its library that corresponds to the determined age group. This template contains dialogue content optimized for that age group.

[1289] 4. Customizing the talk script:

[1290] The server uses personalized data such as the user's occupation, interests, and location to customize the selected talk script template. For example, if the user is an IT engineer and interested in music, topics related to "recent AI technologies" and "music trends" will be added to the talk script.

[1291] 5. Sending and displaying talk scripts:

[1292] The customized talk script is sent from the server to the user's device. The device then displays the received talk script to the user in text or audio format.

[1293] 6. Conducting dialogue:

[1294] The user initiates a conversation based on the displayed talk script. The server monitors the user's conversation and actions in real time, using this information as a reference when generating new talk scripts.

[1295] Explanation of specific examples

[1296] Let's take the example of Mr. Tanaka (45 years old, living in Tokyo, IT engineer) logging into the app.

[1297] Data acquisition:

[1298] The server retrieves Tanaka's profile data (age 45, IT engineer, interested in music, lives in Tokyo) from the database.

[1299] Age group determination:

[1300] The server classifies Mr. Tanaka into the "45-55 years old" age group based on his age.

[1301] Talk script selection:

[1302] The server selects a talk script template for "45-55 year olds" from its library.

[1303] Talk script customization:

[1304] The server takes Tanaka's profession and interests into consideration and customizes the talk script by adding topics related to "recent AI technology" and "music trends."

[1305] Sending and displaying the talk script:

[1306] The customized talk script is sent to Tanaka's smartphone, where he receives it as text.

[1307] Conduct a dialogue:

[1308] Based on the displayed information, Ms. Tanaka begins a conversation by saying, "It's a nice day today, isn't it? Are you surprised by the recent advancements in AI technology?"

[1309] In this way, the system can provide optimal interactions tailored to the user's attributes.

[1310] The following describes the processing flow.

[1311] Step 1:

[1312] The user logs into the application. The device sends the login information to the server.

[1313] Step 2:

[1314] The server retrieves profile data from the database based on the user's login information. This profile data includes the user's date of birth, age, occupation, interests, and region.

[1315] Step 3:

[1316] The server analyzes the acquired profile data and determines the user's age group based on their actual age. For example, if a user is 45 years old, they will be classified into the "45-55" age group.

[1317] Step 4:

[1318] The server selects a talk script template from its library that corresponds to the determined age group. For example, it might select a talk script template for "ages 45-55".

[1319] Step 5:

[1320] The server customizes selected talk script templates based on the user's other profile data (occupation, interests, location, etc.). For example, if the user is an IT engineer and interested in music, topics related to "recent AI technologies" and "music trends" will be added to the talk script.

[1321] Step 6:

[1322] The server sends a customized talk script to the user's device.

[1323] Step 7:

[1324] The device displays the received talk script to the user. For example, it may be displayed in text format or audio format.

[1325] Step 8:

[1326] The user initiates a conversation based on the displayed talk script. For example, the conversation might start with something like, "It's a nice day today. Are you amazed by the recent advancements in AI technology?"

[1327] Step 9:

[1328] The server monitors the user's conversation in real time and generates new talk scenarios as needed. These generated talk scripts are also customized and sent to the user's device.

[1329] (Example 1)

[1330] Next, we will describe Example 1. In the following description, the data processing device 12 will be referred to as the "server" and the robot 414 as the "terminal".

[1331] Traditional systems struggled to provide personalized conversations for each user, resulting in inconsistent conversation quality and user experience. Furthermore, providing more personalized conversations by reflecting user responses and actions in real time was also a challenge.

[1332] The identification process performed by the identification processing unit 290 of the data processing device 12 in Example 1 is realized by the following means.

[1333] In this invention, the server includes means for acquiring user profile data, means for determining age group, means for selecting a talk script template, means for customizing the talk script template, means for sending the customized talk script to the user terminal, and means for monitoring user responses and actions in real time and generating a new talk script based on feedback. This makes it possible to provide optimized dialogue content based on the user's profile data in real time.

[1334] "Profile data" refers to information that includes individual characteristics of the user, such as age, occupation, interests, and region.

[1335] "Age group" refers to a specific age range that is categorized based on the user's age.

[1336] A "talk script template" refers to a general-purpose dialogue framework created based on a specific age group or interests.

[1337] "Customization" refers to the process of adapting selected talk script templates to individual users based on their profile data.

[1338] "User terminal" refers to devices such as smartphones and personal computers used by the user.

[1339] "Real-time monitoring" refers to the immediate observation of user responses and actions, and the immediate processing of necessary data.

[1340] "Feedback" refers to guidelines for system modifications and optimizations based on information obtained from user responses and actions.

[1341] A "talk script" refers to the dialogue content and messages provided by the system.

[1342] Modes for carrying out the invention

[1343] This invention is a system that provides optimal talk scripts tailored to the user's age and interests. This system consists of three main elements: a server, a terminal, and the user.

[1344] The server is responsible for retrieving user profile data, determining age group, selecting a talk script template, and further customizing it using personalized data. The customized talk script is then sent to the user's device.

[1345] The terminal displays the talk script received from the server to the user, allowing the user to begin a conversation. It also sends the user's responses and actions to the server in real time, enabling the server to generate a new talk script based on this information.

[1346] Users engage in conversations based on talk scripts provided through their devices. This enables information provision and communication optimized to individual needs.

[1347] Hardware and software to be used

[1348] Server: Includes infrastructure connected to a high-performance database. Processing takes place on cloud platforms such as AWS or Google Cloud.

[1349] Device: A user's device, such as a smartphone or computer. This includes iOS, Android, Windows, and macOS.

[1350] Generative AI model: An AI model used to generate talk scripts. Examples include OpenAI's GPT-3 and Google's BERT.

[1351] Specific example

[1352] The following is a specific example from Mr. Tanaka (45 years old, living in Tokyo, IT engineer).

[1353] 1. User login:

[1354] Mr. Tanaka enters his user ID and password into the application and logs in.

[1355] 2. Obtaining profile data:

[1356] After confirming Tanaka's login, the server retrieves Tanaka's profile data (age 45, IT engineer, interested in music, lives in Tokyo) from the database.

[1357] 3. Determining the age group:

[1358] Based on the date of birth and age information obtained, the server classifies Ms. Tanaka into the "45-55 years old" age group.

[1359] 4. Selection of a talk script template:

[1360] The server selects a talk script template for "45-55 year olds" from its library.

[1361] 5. Customizing the talk script:

[1362] The server takes Tanaka's profession and interests into consideration and customizes the talk script by adding topics related to "recent AI technology" and "music trends."

[1363] 6. Send the talk script:

[1364] The customized talk script will be sent to Ms. Tanaka's smartphone.

[1365] 7. Display the talk script:

[1366] Tanaka's smartphone displays the received talk script in text format.

[1367] 8. Initiating the dialogue and providing real-time feedback:

[1368] Based on the displayed talk script, Ms. Tanaka begins a conversation with phrases like, "It's a nice day today, isn't it? Are you surprised by the recent advancements in AI technology?" While Ms. Tanaka is having the conversation, her smartphone sends the content of the conversation to the server in real time. The server uses this information to improve the next talk script provided, enhancing Ms. Tanaka's conversational experience.

[1369] Example of a prompt

[1370] The prompt text to input into the generative AI model is as follows:

[1371] User profile information:

[1372] Age: 45

[1373] Occupation: IT Engineer

[1374] Interests: Music

[1375] Region: Tokyo

[1376] Select a template to generate an appropriate talk script, and create a talk script that meets the following conditions:

[1377] 1. Recent topics related to AI technology

[1378] 2. Topics related to music trends

[1379] As described above, the present invention makes it possible to provide optimal dialogue tailored to the user's attributes.

[1380] The flow of the specific processing in Example 1 will be explained using Figure 11.

[1381] Step 1:

[1382] User login

[1383] The user enters their user ID and password in the application to log in.

[1384] Input: User ID and password.

[1385] Output: Authentication success message and session start.

[1386] Specific action: The user enters their ID and password into the form and presses the authentication button.

[1387] Step 2:

[1388] Acquisition of profile data

[1389] The server receives the user ID after a successful login and retrieves the corresponding user's profile data from the database.

[1390] Input: User ID.

[1391] Output: Profile data (e.g., age, occupation, interests, region).

[1392] Specific operation: The server queries the database and retrieves user information.

[1393] Step 3:

[1394] Age group determination

[1395] The server determines the user's age group based on the acquired profile data.

[1396] Input: Date of birth or age.

[1397] Output: Age group (e.g., "45-55 years old").

[1398] Specific operation: The server compares the date of birth with the current date, calculates the age, and classifies the user into the appropriate age group.

[1399] Step 4:

[1400] Selection of a talk script template

[1401] The server selects a talk script template from the library that corresponds to the determined age group.

[1402] Input: Age group.

[1403] Output: Talk script template.

[1404] Specific operation: The server searches for and selects an appropriate template from the library based on the age group.

[1405] Step 5:

[1406] Customization based on personalized data

[1407] The server uses personalized data such as the user's occupation, interests, and location to optimize the selected talk script template for each individual user.

[1408] Input: Talk script template, profile data (occupation, interests, region).

[1409] Output: Customized talk script.

[1410] Specific operation: The server parses the template and adds content based on the user's interests and occupation.

[1411] Step 6:

[1412] Sending the talk script

[1413] The server sends a customized talk script to the user's device.

[1414] Input: Customized talk script.

[1415] Output: Message indicating that the talk script has been successfully sent to the terminal.

[1416] Specific operation: The server sends the talk script to the terminal using a communication protocol (e.g., HTTP or WebSocket).

[1417] Step 7:

[1418] Displaying the talk script

[1419] The terminal displays the talk script received from the server to the user in text or audio format.

[1420] Input: Customized talk script.

[1421] Output: Display of the talk script (text or audio).

[1422] Specific operation: The device provides the user with the content of the conversation using a screen that displays text or an audio output function.

[1423] Step 8:

[1424] Initiating a dialogue and providing real-time feedback

[1425] The user initiates the conversation based on the displayed talk script.

[1426] The device sends user responses and actions to the server in real time.

[1427] The server generates a new talk script based on that information.

[1428] Input: User responses and behavioral information.

[1429] Output: New talk script.

[1430] Specific operation: The user engages in dialogue, the content of which is sent to the server via the terminal, the server analyzes it, and generates the next dialogue.

[1431] The above describes the specific processing flow of this system's program.

[1432] (Application Example 1)

[1433] Next, we will explain Application Example 1. In the following explanation, the data processing device 12 will be referred to as the "server" and the robot 414 as the "terminal".

[1434] In modern brick-and-mortar stores, personalized customer service tailored to each customer's different interests and age group is essential. However, it is difficult for staff to instantly provide appropriate conversation content for each customer, often resulting in standardized service. This can lead to decreased customer satisfaction and, consequently, a decline in sales. Therefore, there is a need for a system that dynamically provides personalized conversation scripts based on the customer's age and interests.

[1435] The specific processing performed by the specific processing unit 290 of the data processing device 12 in Application Example 1 is realized by the following means.

[1436] In this invention, the server includes means for acquiring user profile data, means for determining the user's age group based on the profile data, means for selecting a talk script template corresponding to the age group, means for customizing the talk script template based on the profile data, means for transmitting the customized talk script to the user terminal, and means for providing the customized talk script via a display device worn by store staff. This enables staff to provide customer service using talk scripts individually optimized for each customer, thereby improving customer satisfaction and store sales.

[1437] "Profile data" refers to individual attribute information such as a user's date of birth, occupation, interests, and region.

[1438] "Age group" refers to a group classified based on the user's age.

[1439] A "talk script template" refers to a predefined topic template that includes dialogue content tailored to a specific age group.

[1440] "Customization" refers to individually optimizing talk script templates based on the user's profile data.

[1441] "User terminal" refers to electronic devices that a user can access, such as smartphones and computers.

[1442] A "display device" refers to a device that allows a user to visually confirm information, such as smart glasses or a head-mounted display.

[1443] This invention provides a system to support customer service in physical stores. The invention is implemented using a server, a user terminal, and a display device.

[1444] server:

[1445] The server retrieves user profile data and determines their age group. It then selects a template from its stored talk script templates that corresponds to the determined age group, and further customizes it based on the profile data. This generates a personalized talk script for each individual user. For example, the profile data includes the user's date of birth, occupation, interests, and region, which are used to provide the most appropriate dialogue.

[1446] User terminal:

[1447] The user terminal receives and displays a customized talk script sent from the server. Examples of user terminals include smartphones and computers. This terminal also plays a role in acquiring data and sending it to the server.

[1448] Display device:

[1449] Display devices include smart glasses and head-mounted displays worn by store staff. Through these devices, staff can access customized talk scripts in real time, enabling them to provide appropriate dialogue for each customer.

[1450] Specific example:

[1451] For example, if a 45-year-old IT professional with an interest in music visits a store, the server selects a talk script template corresponding to the "45-55 age group" based on the user's profile data. Based on this, a talk script is customized to include topics related to recent AI technology and music trends. This talk script is displayed in real time on the store staff's smart glasses.

[1452] Example of a prompt:

[1453] Based on the following information, please generate the optimal customer service talk script:

[1454] Age: 45

[1455] Occupation: IT professional

[1456] Interests: Music

[1457] Thus, the present invention provides a system for providing highly personalized service in physical stores. This makes it possible to improve customer satisfaction and store sales.

[1458] The flow of a specific process in Application Example 1 will be explained using Figure 12.

[1459] Step 1:

[1460] The server receives a login request from the user's terminal and retrieves the user's profile data. This request includes a user ID, and the server uses this ID to retrieve information such as the user's date of birth, occupation, interests, and region from the database. The retrieved profile data is stored in memory. The input is the user ID, and the output is the profile data.

[1461] Step 2:

[1462] The server determines the user's age group based on the acquired profile data. It calculates the user's current age based on the date of birth in the profile data and classifies that age into a predefined age group. For example, a 45-year-old user would be classified into the "45-55" group. The input is profile data, and the output is the age group.

[1463] Step 3:

[1464] The server selects a talk script template corresponding to the determined age group. This selection is done by searching for and loading an appropriate template from the template library corresponding to the age group. The input is the age group, and the output is the talk script template.

[1465] Step 4:

[1466] The server customizes selected talk script templates using the user's profile data, such as occupation, interests, and location. Specifically, it replaces the template's placeholders with information based on the profile data. For example, if the user's occupation is an IT professional and their interest is music, topics such as "recent AI technologies" and "music trends" will be added. The input is the talk script template and profile data, and the output is the customized talk script.

[1467] Step 5:

[1468] The customized talk script is sent from the server to the user's device. The user's device (e.g., a smartphone or computer) displays the received customized talk script in text or audio format. The input is the customized talk script, and the output is the information displayed on the user's device.

[1469] Step 6:

[1470] The terminal simultaneously transmits the talk script to a display device (smart glasses or head-mounted display) worn by the staff. The staff interacts with customers while referring to the customized talk script on the display device. The input is the customized talk script, and the output is the information displayed on the display device.

[1471] Furthermore, an emotion engine that estimates the user's emotions may be incorporated. That is, the identification processing unit 290 may use the emotion identification model 59 to estimate the user's emotions and perform identification processing using the user's emotions.

[1472] This invention is a system that provides an optimal talk script by taking into account not only the user's age and interests, but also their emotions. In addition to a server, terminal, and user, this system includes an emotion engine that recognizes the user's emotions.

[1473] Overall System Overview

[1474] The server retrieves user profile data, determines age group, selects a talk script template, and further customizes it using personalized data and sentiment engine results. The customized talk script is then sent to the user's device.

[1475] The terminal displays the talk script received from the server to the user, allowing the user to begin a conversation. It also analyzes the user's responses and sends emotional data to the server via the emotion engine.

[1476] The user engages in dialogue based on a talk script provided through the device. The emotion engine recognizes the user's emotions from these dialogues and inputs.

[1477] The emotion engine analyzes the user's voice and text input to determine their emotions. Based on this, the server customizes the talk script more appropriately.

[1478] Explanation of the program's processing details

[1479] 1. Data acquisition and storage:

[1480] When a user logs into the application, the server retrieves profile data from the database. This data includes date of birth, age, occupation, interests, and location.

[1481] 2. Determining the age group:

[1482] The server analyzes the acquired profile data and determines the user's age group based on their actual age. For example, if a user is 45 years old, they will be classified into the "45-55" age group.

[1483] 3. Selection of a talk script template:

[1484] The server selects a talk script template from the library that corresponds to the determined age group.

[1485] 4. Customizing the talk script:

[1486] The server sets the initial settings for the emotional state that will be sent later, by defining the user's physical data and the corresponding talk script.

[1487] 5. Obtaining customized data:

[1488] The server further customizes the talk script using personalized data such as the user's occupation, interests, and location. For example, if the user is an IT engineer and interested in music, topics related to "recent AI technologies" and "music trends" will be added to the talk script.

[1489] 6. Utilizing the Emotional Engine:

[1490] When a user initiates a conversation using a talk script, the device sends the user's voice and text to the emotion engine in real time. The emotion engine analyzes this data and generates the user's emotion data.

[1491] 7. Feedback on emotional data:

[1492] The server receives emotion data sent from the emotion engine and updates the talk script accordingly. For example, if the user's emotion is determined to be "sad," the script is customized to be more encouraging.

[1493] 8. Sending and displaying talk scripts:

[1494] A customized talk script, reflecting emotional data, is sent from the server to the user's device. The device then displays this script to the user in text or audio format.

[1495] 9. Conducting dialogue:

[1496] The user engages in dialogue based on the displayed talk script. The server monitors the user's dialogue content and sentiment data in real time and generates new talk scenarios as needed.

[1497] Explanation of specific examples

[1498] Let's take the example of Mr. Tanaka (45 years old, living in Tokyo, IT engineer) logging into the app.

[1499] Data acquisition:

[1500] The server retrieves Tanaka's profile data (age 45, IT engineer, interested in music, lives in Tokyo).

[1501] Age group determination:

[1502] The server classifies Mr. Tanaka into the "45-55 years old" age group based on his age.

[1503] Talk script selection:

[1504] The server selects a talk script template for the "45-55 age group."

[1505] Talk script customization:

[1506] The server customizes the talk script based on Tanaka's profile data, adding topics related to "recent AI technology" and "music trends."

[1507] Utilizing the emotional engine:

[1508] When Ms. Tanaka begins a conversation, the device sends voice and text to the emotion engine to generate emotion data. If the server determines that Ms. Tanaka is tired, it customizes the talk script to be more relaxing.

[1509] Feedback on emotional data:

[1510] The server receives emotion data from the emotion engine and updates the talk script accordingly to make it more appropriate.

[1511] Sending and displaying the talk script:

[1512] The updated talk script is sent to Tanaka's device and displayed in text and audio formats.

[1513] Conduct a dialogue:

[1514] Ms. Tanaka engages in a conversation where she says, "I'm feeling restless today, but talking about the recent advancements in AI technology makes me feel better."

[1515] In this way, it is possible to provide optimal dialogue tailored to the user's attributes, including their emotions.

[1516] The following describes the processing flow.

[1517] Step 1:

[1518] The user logs into the application. The device sends the login information to the server.

[1519] Step 2:

[1520] The server retrieves profile data from the database based on the user's login information. This profile data includes date of birth, age, occupation, interests, and region.

[1521] Step 3:

[1522] The server analyzes the acquired profile data and determines the user's age group based on their actual age. For example, if a user is 45 years old, they will be classified into the "45-55" age group.

[1523] Step 4:

[1524] The server selects a talk script template from its library that corresponds to the determined age group. For example, it might select a talk script template for "ages 45-55".

[1525] Step 5:

[1526] The server customizes selected talk script templates based on the user's other profile data (occupation, interests, location, etc.). For example, if the user is an IT engineer and interested in music, topics related to "recent AI technologies" and "music trends" will be added to the talk script.

[1527] Step 6:

[1528] The server sends a customized talk script to the user's device.

[1529] Step 7:

[1530] The device displays the received talk script to the user. For example, it may be displayed in text format or audio format.

[1531] Step 8:

[1532] The user initiates a conversation based on the displayed talk script. For example, the conversation might start with something like, "It's a nice day today. Are you amazed by the recent advancements in AI technology?"

[1533] Step 9:

[1534] The user either types the conversation into the device or speaks it aloud. The device then sends this input data to the emotion engine in real time.

[1535] Step 10:

[1536] The emotion engine analyzes the user's voice and text input to determine their emotions. For example, it can identify emotions such as "tired" from the user's tone of voice and the words they use.

[1537] Step 11:

[1538] When the server receives emotion data from the emotion engine, it uses this to further customize the talk script. For example, if the server determines that the user is "sad," it updates the talk script to include words of encouragement.

[1539] Step 12:

[1540] The server resends the customized new talk script to the user's device.

[1541] Step 13:

[1542] The device displays the updated talk script to the user. The user then continues the conversation based on the displayed talk script.

[1543] Step 14:

[1544] The server monitors user dialogue and emotional data in real time, and generates and injects new dialogue scenarios as needed. This ensures that user interactions are always optimized.

[1545] (Example 2)

[1546] Next, we will describe Example 2. In the following description, the data processing device 12 will be referred to as the "server" and the robot 414 as the "terminal".

[1547] Traditional talk script systems provided scripts based on the user's age and interests, but they failed to consider the user's emotions. Therefore, it was difficult to engage in appropriate conversations that reflected the user's current emotional state. Furthermore, real-time emotion analysis and subsequent script updates were not performed, limiting the user experience.

[1548] The identification processing by the identification processing unit 290 of the data processing device 12 in Example 2 is realized by the following means. In this invention, the server includes means for acquiring user profile data, means for determining the user's age group based on the profile data, means for selecting a talk script template corresponding to the age group, means for customizing the talk script template based on the profile data, means for sending the customized talk script to the user terminal, means for sending the user's voice and text to the emotion engine in real time when the user starts a conversation, means for the emotion engine to generate user emotion data and update the talk script appropriately using the emotion data, and means for sending the updated talk script to the user terminal again. This makes it possible to provide personalized conversations in real time based not only on the user's age and interests but also on their emotional state.

[1549] A "user" refers to a person who uses the system.

[1550] "Profile data" refers to data that includes personal information such as the user's date of birth, occupation, interests, and location.

[1551] "Age group" refers to a group classified based on the user's age.

[1552] A "talk script template" refers to a conversation script tailored to a specific age group.

[1553] A "customized talk script" refers to a conversation script that has been tailored based on the user's profile data.

[1554] "User terminal" refers to devices such as computers, smartphones, and tablets used by users.

[1555] "Dialogue" refers to conversations and communication that take place between the user and the system.

[1556] An "emotion engine" refers to software that analyzes a user's voice or text to determine their emotions.

[1557] "Emotional data" refers to data about the user's emotional state generated by the emotion engine.

[1558] "Update" refers to the modification of a talk script based on new information and sentiment data.

[1559] "Real-time" refers to the immediate processing and updates that occur during user interaction.

[1560] Modes for carrying out the invention

[1561] This invention is a system that provides talk scripts based on user profile data and further analyzes user emotions to realize real-time customized conversations. An embodiment of this system is described in detail below.

[1562] Overall system configuration

[1563] The server plays a central role in this system and performs the following tasks:

[1564] When a user logs in, profile data is retrieved from the database. Examples of databases used include MySQL and PostgreSQL.

[1565] The user's age group is determined based on their profile data. This determination is performed using an algorithm that classifies ages into specific ranges.

[1566] Select a talk script template that corresponds to the age group. The template is either a text file stored on the server or data stored in a database.

[1567] Customize the talk script by taking into account personalized data such as the user's occupation, interests, and location.

[1568] Send a customized talk script to the user's device.

[1569] The terminal provides an interface that connects the user and the server:

[1570] The system displays the talk script received from the server, allowing the user to begin the conversation.

[1571] It records user responses and sends the audio and text to the emotion engine.

[1572] The emotion engine analyzes the user's voice and text data to determine their emotions.

[1573] For speech analysis, we use speech recognition technologies such as Google Cloud Speech-to-Text API or IBM Watson.

[1574] For text analysis, natural language processing techniques such as libraries like NLTK and SpaCy are used.

[1575] The determined emotion data is sent to the server.

[1576] Specific example

[1577] The following is a specific example of what happens when Mr. Tanaka (45 years old, lives in Tokyo, IT engineer) logs into the system:

[1578] 1. Data acquisition:

[1579] The server retrieves Tanaka's profile data (age 45, IT engineer, interested in music, lives in Tokyo) from the database.

[1580] 2. Age group determination:

[1581] The server classifies Tanaka into the "45-55 years old" age group based on his age.

[1582] 3. Selecting a talk script:

[1583] The server selects a talk script template for the "45-55 age group."

[1584] 4. Customizing the talk script:

[1585] The server customizes the talk script based on Tanaka's profile data, including topics such as "recent AI technologies" and "music trends."

[1586] 5. Send a customized talk script:

[1587] The customized talk script is sent from the server to Mr. Tanaka's terminal.

[1588] 6. Initiating the conversation and analyzing emotions:

[1589] When Ms. Tanaka begins a conversation, the device sends voice and text data to the emotion engine in real time. The emotion engine determines that "Ms. Tanaka is tired."

[1590] 7. Talk script updated:

[1591] Based on the sentiment data, the server updates the talk script and changes it to a more relaxed tone.

[1592] 8. Send the updated talk script:

[1593] The server sends the updated talk script back to Tanaka's terminal, and the conversation continues.

[1594] Example of a prompt

[1595] Based on the profile data of a 45-year-old IT engineer living in Tokyo with an interest in music, customize a talk script about recent AI technology and music trends. Also, if the emotion engine detects that the user is tired during the conversation, update the talk script with more relaxing content.

[1596] The above describes a specific embodiment of this system. This system makes it possible to provide optimal interactions in real time based on the user's personalized data and emotional state.

[1597] The flow of the specific processing in Example 2 will be explained using Figure 13.

[1598] Step 1: User Login

[1599] The user enters their username and password on the device's login screen and clicks the "Login" button. The entered information is sent from the device to the server, which receives it. The server performs authentication, and if successful, proceeds to the next step. The input is the username and password, and the output is the authentication result.

[1600] Step 2: Retrieve profile data from the database

[1601] The server retrieves the authenticated user's profile data from a database. Examples of databases used include MySQL and PostgreSQL. The input is the user's authentication information, and the output is profile data. Required fields include date of birth, occupation, interests, and location.

[1602] Step 3: Age group determination

[1603] The server analyzes the acquired profile data and determines the user's age group based on their actual age. Using an age group classification algorithm, it might classify the user into a group such as "45-55 years old." The input is the age information from the profile data, and the output is a specific age group.

[1604] Step 4: Selecting a Talk Script Template

[1605] The server selects a corresponding talk script template from its library based on the determined age group. The templates are stored in text files or a database on the server. The input is age group information, and the output is a talk script template.

[1606] Step 5: Customization with personalized data

[1607] The server customizes the selected talk script template based on personalized data such as the user's occupation, interests, and location. For example, if the user is an IT engineer and interested in music, topics such as "recent AI technologies" and "music trends" will be added. The input is profile data and a talk script template, and the output is the customized talk script.

[1608] Step 6: Send the initial talk script

[1609] The server sends a customized talk script to the user's terminal. The terminal displays the talk script, allowing the user to begin the conversation. The input is the customized talk script, and the output is the sending and display of the script to the terminal.

[1610] Step 7: Start the user interaction

[1611] The user initiates a conversation based on a talk script displayed on the device. The user's responses are recorded in audio or text format. The input is a customized talk script, and the output is the user's response data.

[1612] Step 8: Sentiment analysis of voice and text

[1613] The device transmits the user's voice and text input to the emotion engine in real time. The emotion engine uses the Google Cloud Speech-to-Text API for voice analysis and natural language processing technologies such as NLTK and SpaCy for text analysis. The input is the user's voice and text data, and the output is emotion data.

[1614] Step 9: Updating the talk script based on sentiment data

[1615] The server receives emotion data sent from the emotion engine and updates the talk script in real time based on it. For example, if the user's emotion is determined to be "tired," the script is changed to something more relaxing. The input is emotion data and a customized talk script, and the output is the updated talk script.

[1616] Step 10: Send the updated talk script

[1617] The server resends the updated talk script to the user's terminal. The terminal displays it again, and the user can continue the conversation. The input is the updated talk script, and the output is the resending and display of the script to the terminal.

[1618] Step 11: Continuous dialogue and adaptation

[1619] The user continues the conversation based on the provided talk script. The server and sentiment engine monitor the user's conversation content and sentiment data, and further customize and update the talk script as needed. The input is the audio or text data of the ongoing conversation, and the output is the adapted new talk script.

[1620] (Application Example 2)

[1621] Next, we will explain application example 2. In the following explanation, the data processing device 12 will be referred to as the "server" and the robot 414 as the "terminal".

[1622] Conventional security monitoring systems have the drawback of not adequately considering user emotions and stress levels, making it difficult to implement effective security measures based on the user's mental state. Furthermore, customization based solely on user profile data results in uniform talk scripts, making it difficult to provide specific advice tailored to individual situations.

[1623] The specific processing performed by the specific processing unit 290 of the data processing device 12 in Application Example 2 is realized by the following means.

[1624] In this invention, the server includes means for acquiring user profile data, means for determining the user's age group based on the profile data, means for selecting a talk script template corresponding to the age group, means for customizing the talk script template based on the profile data, means for analyzing the user's emotional data using the emotional engine, means for updating the talk script based on the emotional data, and means for sending the customized and updated talk script to the user terminal. This makes it possible to provide real-time advice on optimal security measures based on the user's profile data and emotional data.

[1625] "User profile data" refers to information about the user, including date of birth, occupation, interests, and location.

[1626] "Age group" refers to a specific range of users classified based on their age.

[1627] A "talk script template" is a pre-defined dialogue scenario template in a format suitable for a specific age group or situation.

[1628] "Methods of customization" refer to methods of individually adjusting talk script templates based on user profile data and sentiment data, transforming them into conversations optimized for the user.

[1629] An "emotion engine" is software or hardware that analyzes a user's voice or text input to determine their emotions.

[1630] "Emotional data" refers to data that indicates the user's current emotional state, obtained as a result of analysis by the emotion engine.

[1631] "User terminal" refers to a device used by a user, and includes smartphones, tablets, personal computers, etc.

[1632] A "server" is a computer system that stores, processes, and manages data over a network and communicates with user terminals.

[1633] This invention provides a system that delivers optimized talk scripts based on user profile data and sentiment data, enabling security monitoring assistant functionality for the user. The system includes the following main components:

[1634] 1. Server:

[1635] The server retrieves the user's profile data and determines the user's age group based on it. Next, it selects a talk script template corresponding to the determined age group and customizes it based on the profile data and sentiment data. Upon receiving the sentiment data analyzed by the sentiment engine, the server updates the talk script and sends the optimized content to the user's terminal.

[1636] 2. Terminal:

[1637] The device (such as a smartphone or tablet) displays customized and updated talk scripts sent from the server to the user. It also plays a role in sending user input and dialogue to the emotion engine to generate emotion data and providing feedback to the server.

[1638] 3. User:

[1639] The user interacts according to a talk script provided through the device. The input text and voice are analyzed by an emotion engine, and emotion data is generated as a result.

[1640] 4. Emotional Engine:

[1641] The emotion engine analyzes the user's voice and text input in real time to determine the user's emotional state. The emotion data is sent to the server and used to update the talk script.

[1642] Examples

[1643] When a user logs into the security monitoring assistant application, the following processes occur:

[1644] Data acquisition:

[1645] The server retrieves user profile data (age, occupation, interests, region, etc.) from the database.

[1646] Age group determination:

[1647] The server determines the user's age group based on the acquired profile data. For example, if the user is 45 years old, they will be classified into the "45-55" age group.

[1648] Talk script selection:

[1649] The server selects a talk script template from the library that is appropriate for the corresponding age group.

[1650] Talk script customization:

[1651] The server customizes the talk script based on profile data. This profile data includes information related to the user's occupation, interests, and location.

[1652] Emotion analysis:

[1653] When a user initiates a conversation according to a talk script, the device sends that input to the emotion engine, which then generates emotion data.

[1654] Script update and submission:

[1655] The server receives the generated emotion data, updates the talk script based on it, and sends it back to the user's terminal.

[1656] For example, if a user types "I'm worried about security today," the emotion engine analyzes this input and determines that the user is worried. The server receives this emotion data, updates the talk script with encouraging content such as "Don't worry, everything is fine," and sends it to the user's terminal. This allows the user to receive optimal security advice in real time.

[1657] This invention enables the provision of more advanced and personalized security measures by combining user profile data and emotion data. To realize this system, hardware and software such as servers, terminals, and emotion engines work together in coordination.

[1658] The flow of a specific process in Application Example 2 will be explained using Figure 14.

[1659] Step 1:

[1660] When a user logs in, the server retrieves the user's profile data (date of birth, occupation, interests, region, etc.) from the database. This allows the server to understand the user's basic information.

[1661] Step 2:

[1662] The server determines the user's age based on the acquired profile data and assigns them to an age group. For example, if the user is 45 years old, they will be classified into the "45-55" age group. Based on this determination, a corresponding talk script template is selected.

[1663] Step 3:

[1664] The server selects a talk script template from its library that corresponds to the determined age group. By selecting a template appropriate for the age group, the server is ready to provide a conversation scenario suitable for the user.

[1665] Step 4:

[1666] The server customizes the talk script template based on the user's profile data. For example, if the user's occupation is an IT engineer and their interest is music, topics related to "recent AI technologies" and "music trends" will be added to the template. This customization provides the user with personalized content.

[1667] Step 5:

[1668] When a user initiates a conversation according to a talk script, the device sends the entered text and voice data to the emotion engine. The emotion engine analyzes this data and generates emotion data. For example, in response to the input "I'm worried," the emotion engine determines that the emotion is "worried."

[1669] Step 6:

[1670] The server receives emotion data sent from the emotion engine. Based on the received emotion data, it updates the talk script as needed. For example, if the user's emotion is determined to be "sad," the server customizes the talk script to add words of encouragement.

[1671] Step 7:

[1672] The server sends customized and updated talk scripts to the user's terminal. The terminal displays them to the user in text or audio format. This allows the user to receive optimal security advice in real time.

[1673] Step 8:

[1674] The user continues the conversation based on the updated talk script. This conversation content and sentiment data are monitored in real time, and new talk scripts are generated as needed. This loop ensures that the user receives the best possible support.

[1675] The specific processing unit 290 transmits the result of the specific processing to the robot 414. In the robot 414, the control unit 46A causes the speaker 240 and the controlled object 443 to output the result of the specific processing. The microphone 238 acquires audio indicating user input for the result of the specific processing. The control unit 46A transmits the audio data indicating user input acquired by the microphone 238 to the data processing unit 12. In the data processing unit 12, the specific processing unit 290 acquires the audio data.

[1676] Data generation model 58 is a type of so-called generative AI (Artificial Intelligence). One example of data generation model 58 is ChatGPT (Internet search<URL: https: / / openai.com / blog / chatgpt> ), Gemini (Internet search) <url: https: gemini.google.com ?hl="ja">Examples of generative AI include the following. The data generation model 58 is obtained by performing deep learning on a neural network. The data generation model 58 is input with prompts containing instructions, and with inference data such as audio data representing speech, text data representing text, and image data representing images. The data generation model 58 infers from the input inference data according to the instructions indicated by the prompts, and outputs the inference results in data formats such as audio data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization.

[1677] In the above embodiment, an example was given in which specific processing is performed by the data processing device 12, but the technology of this disclosure is not limited thereto, and the specific processing may also be performed by the robot 414.

[1678] Furthermore, the emotion identification model 59, acting as an emotion engine, may determine the user's emotion according to a specific mapping. Specifically, the emotion identification model 59 may determine the user's emotion according to a specific mapping, which is an emotion map (see Figure 9). Similarly, the emotion identification model 59 may also determine the robot's emotion, and the identification processing unit 290 may perform identification processing using the robot's emotion.

[1679] Figure 9 shows an emotion map 400 in which multiple emotions are mapped. In the emotion map 400, emotions are arranged in concentric circles radiating from the center. The closer to the center of the concentric circles, the more primitive the emotions are located. Further out of the concentric circles, emotions representing states and actions arising from mental states are located. Emotion is a concept that includes feelings and mental states. On the left side of the concentric circles, emotions that are generally generated from reactions occurring in the brain are located. On the right side of the concentric circles, emotions that are generally induced by situational judgment are located. Above and below the concentric circles, emotions that are generally generated from reactions occurring in the brain and induced by situational judgment are located. In addition, the emotion of "pleasure" is located on the upper side of the concentric circles, and the emotion of "displeasure" is located on the lower side. Thus, in the emotion map 400, multiple emotions are mapped based on the structure in which emotions arise, and emotions that are likely to occur simultaneously are mapped close together.

[1680] These emotions are distributed at the 3 o'clock position on the Emotion Map 400, and usually fluctuate between feelings of security and anxiety. In the right half of the Emotion Map 400, situational awareness takes precedence over internal feelings, resulting in a calm impression.

[1681] The inside of the Emotion Map 400 represents inner thoughts, while the outside represents actions. Therefore, the further you go from the outside of the Emotion Map 400, the more visible (expressed in actions) your emotions become.

[1682] Here, human emotions are based on various balances, such as posture and blood sugar levels. When these balances deviate from the ideal, it results in discomfort, and when they approach the ideal, it results in pleasure. Similarly, in robots, cars, motorcycles, etc., emotions can be created based on various balances, such as posture and battery level. When these balances deviate from the ideal, it results in discomfort, and when they approach the ideal, it results in pleasure. The emotion map can be generated, for example, based on Dr. Mitsuyoshi's emotion map (Research on a system for analyzing brain physiological signals of speech emotion recognition and emotion, Tokushima University, doctoral dissertation: https: / / ci.nii.ac.jp / naid / 500000375379). The left half of the emotion map contains emotions belonging to a region called "response," where sensation is dominant. The right half of the emotion map contains emotions belonging to a region called "situation," where situational awareness is dominant.

[1683] The emotion map defines two emotions that promote learning. One is the emotion around the middle of the negative "repentance" and "reflection" on the situation side. In other words, it is when the robot experiences negative emotions such as "I never want to feel this way again" or "I don't want to be scolded again." The other is the emotion around the positive "desire" on the reaction side. In other words, it is when the robot has positive feelings such as "I want more" or "I want to know more."

[1684] The emotion identification model 59 inputs user input into a pre-trained neural network, obtains emotion values ​​representing each emotion shown in the emotion map 400, and determines the user's emotion. This neural network is pre-trained based on multiple training data sets, which are combinations of user input and emotion values ​​representing each emotion shown in the emotion map 400. Furthermore, this neural network is trained so that emotions located close together have similar values, as shown in the emotion map 900 in Figure 10. Figure 10 shows an example where multiple emotions such as "reassured," "calm," and "confident" have similar emotion values.

[1685] The above description primarily focuses on the functions of the data processing device 12 in relation to this disclosure. However, the system related to this disclosure is not necessarily implemented on a server. The system related to this disclosure may be implemented as a general information processing system. This disclosure may be implemented, for example, as a software program that runs on a personal computer or as an application that runs on a smartphone. The method related to this disclosure may be provided to users in SaaS (Software as a Service) format.

[1686] In the above embodiment, an example was given in which a specific process is performed by a single computer 22. However, the technology of this disclosure is not limited thereto, and a distributed processing of the specific process may be performed by multiple computers, including computer 22. For example, a data generation model 58 may be provided in an external device of the data processing device 12, and the external device may generate data according to the input data.

[1687] In the above embodiment, an example was given in which the specific processing program 56 is stored in the storage 32, but the technology of this disclosure is not limited thereto. For example, the specific processing program 56 may be stored in a portable, computer-readable, non-temporary storage medium such as a USB (Universal Serial Bus) memory. The specific processing program 56 stored in the non-temporary storage medium is installed in the computer 22 of the data processing device 12. The processor 28 executes specific processing according to the specific processing program 56.

[1688] 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.

[1689] Furthermore, it is not necessary to store the entirety of the specific processing program 56 in a storage device such as a server connected to the data processing device 12 via the network 54, or to store the entirety of the specific processing program 56 in the storage 32; it is acceptable to store only a portion of the specific processing program 56.

[1690] The following types of processors can be used as hardware resources to perform specific processing. Examples of processors include a CPU, a general-purpose processor that functions as a hardware resource to perform specific processing by executing software, i.e., a program. Other examples of processors include dedicated electrical circuits, such as FPGAs (Field-Programmable Gate Arrays), PLDs (Programmable Logic Devices), or ASICs (Application Specific Integrated Circuits), which have circuit configurations specifically designed to perform specific processing. All of these processors have built-in or connected memory, and all of them perform specific processing by using memory.

[1691] The hardware resource that performs a specific process may consist of one of these various processors, or it may consist of a combination of two or more processors of the same or different types (for example, a combination of multiple FPGAs, or a combination of a CPU and an FPGA). Alternatively, the hardware resource that performs a specific process may consist of a single processor.

[1692] Examples of configurations using a single processor include, firstly, a configuration in which one or more CPUs and software are combined to form a single processor, and this processor functions as a hardware resource that performs a specific process. Secondly, there is a configuration using a processor that realizes the functions of the entire system, including multiple hardware resources that perform a specific process, on a single IC chip, as exemplified by SoCs (System-on-a-chip). In this way, a specific process is realized using one or more of the above types of processors as hardware resources.

[1693] Furthermore, the hardware structure of these various processors can more specifically utilize electrical circuits that combine circuit elements such as semiconductor devices. Also, the specific processing described above is merely an example. Therefore, it goes without saying that unnecessary steps can be deleted, new steps added, or the processing order rearranged, as long as it does not deviate from the main purpose.

[1694] The descriptions and illustrations presented above are detailed explanations of the technical aspects of this disclosure and are merely examples of the technical aspects. For example, the above descriptions of the structure, function, operation, and effect are examples of the structure, function, operation, and effect of the technical aspects of this disclosure. Therefore, it goes without saying that you may delete unnecessary parts, add new elements, or replace elements in the descriptions and illustrations presented above, as long as you do not deviate from the essence of the technical aspects of this disclosure. Furthermore, in order to avoid confusion and facilitate understanding of the technical aspects of this disclosure, explanations of common technical knowledge and the like that do not require special explanation to enable the implementation of the technical aspects of this disclosure have been omitted from the descriptions and illustrations presented above.

[1695] All documents, patent applications, and technical standards described herein are incorporated by reference to the same extent as if each individual document, patent application, and technical standard were specifically and individually noted as being incorporated by reference.

[1696] The following is further disclosed regarding the embodiments described above.

[1697] (Claim 1)

[1698] Means for obtaining user profile data,

[1699] A means for determining the user's age group based on the aforementioned profile data,

[1700] A means for selecting a talk script template corresponding to the aforementioned age group,

[1701] Means for customizing the talk script template based on the profile data,

[1702] A system that includes means for sending customized talk scripts to a user's terminal.

[1703] (Claim 2)

[1704] The system according to claim 1, wherein the profile data includes the user's date of birth, occupation, interests, and region.

[1705] (Claim 3)

[1706] The system according to claim 1, wherein the talk script is displayed on the user terminal in text format or audio format.

[1707] "Example 1"

[1708] (Claim 1)

[1709] Means for obtaining user profile data,

[1710] A means for determining the user's age group based on the aforementioned profile data,

[1711] A means for selecting a talk script template corresponding to the aforementioned age group,

[1712] Means for customizing the talk script template based on the profile data,

[1713] A means of sending a customized talk script to the user's terminal,

[1714] A system that includes means for monitoring user responses and actions in real time and generating new talk scripts based on feedback.

[1715] (Claim 2)

[1716] The system according to claim 1, wherein the profile data includes the user's date of birth, occupation, interests, and region.

[1717] (Claim 3)

[1718] The system according to claim 1, wherein the talk script is displayed on the user terminal in text format or audio format.

[1719] "Application Example 1"

[1720] (Claim 1)

[1721] Means for obtaining user profile data,

[1722] A means for determining the user's age group based on the aforementioned profile data,

[1723] A means for selecting a talk script template corresponding to the aforementioned age group,

[1724] Means for customizing the talk script template based on the profile data,

[1725] A means of sending a customized talk script to the user's terminal,

[1726] A system that includes means for providing customized talk scripts via display devices worn by store staff.

[1727] (Claim 2)

[1728] The system according to claim 1, wherein the profile data includes the user's date of birth, occupation, interests, and region.

[1729] (Claim 3)

[1730] The system according to claim 1, wherein the talk script is displayed on the user terminal in text format or audio format.

[1731] "Example 2 of combining an emotion engine"

[1732] (Claim 1)

[1733] Means for obtaining user profile data,

[1734] A means for determining the user's age group based on the aforementioned profile data,

[1735] A means for selecting a talk script template corresponding to the aforementioned age group,

[1736] Means for customizing the talk script template based on the profile data,

[1737] A means of sending a customized talk script to the user's terminal,

[1738] When the user initiates a dialogue, a means is provided to send the user's voice and text to the emotion engine in real time.

[1739] The emotion engine generates user emotion data and provides means for appropriately updating the talk script using the emotion data,

[1740] A system that includes means for sending the updated talk script back to the user's terminal.

[1741] (Claim 2)

[1742] The system according to claim 1, wherein the profile data includes the user's date of birth, occupation, interests, and region.

[1743] (Claim 3)

[1744] The system according to claim 1, wherein the talk script is displayed on the user terminal in text format or audio format.

[1745] "Application example 2 when combining with an emotional engine"

[1746] (Claim 1)

[1747] Means for obtaining user profile data,

[1748] A means for determining the user's age group based on the aforementioned profile data,

[1749] A means for selecting a talk script template corresponding to the aforementioned age group,

[1750] Means for customizing the talk script template based on the profile data,

[1751] A means for analyzing user emotional data using the aforementioned emotion engine,

[1752] A means for updating the talk script based on the aforementioned sentiment data,

[1753] A system that includes means for sending customized and updated talk scripts to user terminals.

[1754] (Claim 2)

[1755] The system according to claim 1, wherein the profile data includes the user's date of birth, occupation, interests, and region.

[1756] (Claim 3)

[1757] The system according to claim 1, wherein the talk script is displayed on the user terminal in text format or audio format. [Explanation of Symbols]

[1758] 10, 210, 310, 410 Data Processing Systems 12 Data Processing Devices 14 Smart Devices 214 Smart Glasses 314 Headset-type terminal 414 Robots< / url:> < / url:> < / url:> < / url:>

Claims

1. Means for obtaining user profile data, A means for determining the user's age group based on the aforementioned profile data, A means for selecting a talk script template corresponding to the aforementioned age group, Means for customizing the talk script template based on the profile data, A system that includes means for sending customized talk scripts to a user's terminal.

2. The system according to claim 1, wherein the profile data includes the user's date of birth, occupation, interests, and region.

3. The system according to claim 1, wherein the talk script is displayed on the user terminal in text format or audio format.

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