system

Abstract

We provide the system. [Solution] A user interface means for inputting customer information, A terminal means for transmitting the aforementioned customer information to a server for processing, A server equipped with an AI engine that generates optimal suggestions and answers based on received customer information, A server means that transmits the generated proposals and responses to the terminal, A terminal means for displaying the aforementioned proposals and answers on a user interface, A system that includes this.

Description

Technical Field

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

Background Art

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

Prior Art Documents

Patent Documents

[0003]

Patent Document 1

Summary of the Invention

Problems to be Solved by the Invention

[0004] In modern customer service operations, it is very important to quickly and appropriately respond to the diverse needs and desires of customers. However, in reality, it is often difficult to quickly collect customer information, appropriately analyze it, and make optimal proposals. In particular, providing proposals and campaigns based on individual customer information in real time is a challenge for many companies. In conventional systems, there is a problem that the management and analysis of customer information are complicated, and quick and effective customer response cannot be achieved.

Means for Solving the Problems

[0005] This invention provides a system that solves the above problems by inputting and transmitting customer information in real time, analyzing that information, and providing optimal suggestions and answers. The system includes a user interface, a terminal, and a server, thereby enabling rapid and effective processing of customer information. First, customer information is input through the user interface, and this information is transmitted to the server via the terminal. The server generates optimal suggestions and answers using an AI engine based on the received information and transmits them back to the terminal. The terminal displays the received information on the user interface, and the user interacts with the customer based on this information. In this way, it becomes possible to respond quickly and appropriately to the individual needs of the customer.

[0006] "User interface means" refers to an interface device or software used by a user to input customer information.

[0007] "Terminal means" refers to a device or software that transmits customer information entered from a user interface to a server, and receives responses from the server and displays them on the user interface.

[0008] A "server system" refers to a central processing unit or software that processes received customer information and generates optimal suggestions or responses.

[0009] An "AI engine" is software or hardware that uses machine learning and artificial intelligence technologies to analyze data and generate optimal suggestions or answers.

[0010] "Data processing means" refers to a part of the software or hardware used to analyze customer information within a server, compare it with a database, and obtain the necessary information.

[0011] "Customer information" refers to information about a customer, such as their age, product categories of interest, and past purchase history.

[0012] "Suggestions and answers" refer to suggestions for the most suitable products or services for the customer, or responses to questions from the customer, generated by the server.

[0013] "Login authentication means" refers to software or hardware that includes the authentication process necessary for a user to access a system.

[0014] "Real-time" refers to a process where the entire process, from data input to response generation and display, takes place instantly or with very short delays. [Brief explanation of the drawing]

[0015] [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] It is a sequence diagram showing the processing flow of the data processing system in Application Example 1. [Figure 13] It is a sequence diagram showing the processing flow of the data processing system in Example 2 when the emotion engine is combined. [Figure 14] It is a sequence diagram showing the processing flow of the data processing system in Application Example 2 when the emotion engine is combined.

Mode for Carrying Out the Invention

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

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

[0018] In the following embodiments, the 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.

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

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

[0021] 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).

[0022] 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."

[0023] [First Embodiment]

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

[0025] 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.

[0026] 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).

[0027] 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.

[0028] 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.

[0029] The output device 40 includes a display 40A and a speaker 40B, and presents data to the user 20 by outputting the data in a form 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.

[0030] 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.

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

[0032] 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.

[0033] 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.

[0034] 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.

[0035] 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".

[0036] This invention relates to a system that inputs and transmits customer information in real time, analyzes that information, and provides optimal suggestions and responses. This system includes a user interface, terminals, and a server, and each element works in conjunction with the others to enable a rapid and appropriate response to customer needs.

[0037] User interface means

[0038] The user interface provides an interface for users to input customer information. This interface includes a login screen, a customer information input screen, and a screen for displaying suggestions and responses. Users can log in to the system using the login authentication means and then operate the screens for inputting customer information.

[0039] Specific example:

[0040] The user enters their username and password on the login screen and clicks the "Login" button. Once the login is authenticated, they are then taken to the customer information input screen where they enter information such as "customer's age" and "product categories of interest."

[0041] Terminal means

[0042] The terminal device transmits customer information entered through the user interface to the server and receives responses from the server, which are then displayed on the user interface. The terminal device uses appropriate communication protocols and encryption technologies to ensure data security and real-time performance.

[0043] Specific example:

[0044] The device receives information from the user, such as "customer in their 30s" and "product categories of interest: home appliances," converts it into JSON format, and sends it to the server.

[0045] Server Means

[0046] The server is a central processing unit that processes received customer information and generates optimal suggestions and responses. The server is equipped with data processing capabilities, which retrieve necessary information by comparing it with the customer database. It also uses an AI engine to analyze past data and statistics, generating appropriate suggestions and responses in real time. These generated suggestions and responses are then sent back to the terminal.

[0047] Specific example:

[0048] Based on the information received by the server, such as "customer in their 30s" and "product category of interest: home appliances," the server analyzes similar past cases, generates a "discount campaign for a specific home appliance," and sends it to the terminal.

[0049] Circular process

[0050] The process in which the user operates a terminal to input and transmit customer information, and then the server generates suggestions and responses based on that information and displays them again on the user interface via the terminal, operates in real time and cyclically. In this way, the user can respond immediately to the individual needs of the customer.

[0051] Specific example:

[0052] The terminal receives a message about a "special campaign for home appliances targeting customers in their 30s" and displays it on the user interface. The user then uses this information to make suggestions to customers.

[0053] This system enables efficient customer service by allowing for the collection, analysis, and recommendation of customer information in a consistent, real-time process.

[0054] The following describes the processing flow.

[0055] Step 1:

[0056] The user enters their username and password on the device's login screen and presses the "Login" button.

[0057] Step 2:

[0058] The terminal sends the entered username and password to the server.

[0059] Step 3:

[0060] The server compares the received username and password with the user information in the database to perform authentication.

[0061] Step 4:

[0062] If the server successfully authenticates, it generates an access token and sends it to the device.

[0063] Step 5:

[0064] The device receives an access token and redirects the user to the customer information input screen.

[0065] Step 6:

[0066] The user enters information such as "age" and "product categories of interest" on the customer information input screen and presses the "Submit" button.

[0067] Step 7:

[0068] The terminal converts the entered customer information into JSON format, encrypts it, and sends it to the server.

[0069] Step 8:

[0070] The server compares the received customer information with a database and uses an AI engine to generate optimal suggestions and responses.

[0071] Step 9:

[0072] The server converts the generated suggestions and responses into JSON format and sends them to the terminal.

[0073] Step 10:

[0074] The terminal analyzes suggestions and responses received from the server and displays them on the user interface.

[0075] Step 11:

[0076] The user responds to the customer based on the displayed suggestions and answers, and repeats the process by entering additional information as needed.

[0077] In this way, terminals, servers, and users work together to enable real-time, rapid, and appropriate customer service.

[0078] (Example 1)

[0079] 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."

[0080] Traditional customer information management systems have made efficient responses difficult because the process from customer information input to analysis and proposal generation is not performed in a real-time, cyclical manner. In particular, in order to respond to customer needs quickly and appropriately, it is necessary for information collection, analysis, and proposals to be performed seamlessly. Furthermore, ensuring information security and advanced analytical capabilities using AI models are also essential.

[0081] 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.

[0082] In this invention, the server includes a user interface means for inputting customer information, a terminal means for transmitting the customer information to the server for processing, a server means equipped with an AI engine that generates optimal suggestions and answers based on the received customer information, a server means for transmitting the generated suggestions and answers to the terminal, a terminal means for displaying the suggestions and answers on the user interface, and a system that operates cyclically to collect, analyze, and suggest customer information in real time. This enables the collection, analysis, and suggestion of customer information to be performed in real time as an integrated process, making it possible to respond quickly and appropriately to customer needs.

[0083] A "user interface means" refers to a means of providing an interface for users to input customer information and receive suggestions and responses.

[0084] "Terminal means" refers to means that transmit customer information entered from the user interface means to a server, receive a response from the server, and display it on the user interface means.

[0085] A "server means" is a central processing unit that receives, analyzes, and generates suggestions for customer information, and is equipped with an AI engine and data processing means.

[0086] An "AI engine" is an artificial intelligence (AI) computational model that analyzes past data and statistics based on received customer information to generate optimal suggestions and responses.

[0087] A "customer database" is a data storage system that stores customer information and provides necessary information in response to queries from a server.

[0088] JSON format is a standard format for representing data in a text-based format, and is primarily used for sending and receiving data.

[0089] SSL / TLS is a protocol that enables the encryption and secure transfer of data transmitted over the internet.

[0090] A "prompt sentence" is an instruction sentence to be input into a generative AI model, and it is a sentence that acts as a trigger to generate the optimal suggestion or answer based on specific conditions.

[0091] A "cyclical process" refers to a process in which customer information is collected, analyzed, proposals are generated, and displayed, all in real time and in a continuous manner.

[0092] This invention relates to a system that inputs and transmits customer information in real time, analyzes that information, and provides optimal suggestions and responses. This system includes a user interface, terminals, and a server, and each element works in conjunction with the others to enable a rapid and appropriate response to customer needs.

[0093] User interface means

[0094] Users access the system through a user interface. This interface includes a login screen, a customer information input screen, and a screen for displaying suggestions and responses. When a user enters their username and password on the login screen and presses the "Login" button, their login is authenticated, and they can proceed to the customer information input screen. Next, the user enters information such as "customer age" and "product categories of interest," and presses the submit button, sending the information to the terminal.

[0095] Terminal means

[0096] The terminal device transmits customer information entered through the user interface to the server and receives responses from the server, which are then displayed on the user interface. This terminal device uses HTTP or HTTPS as its communication protocol, and data encryption is performed using SSL / TLS. Information entered by the user is converted to JSON format and sent to the server. Responses received from the server are also in JSON format, which the terminal device parses and displays on the user interface.

[0097] Specific example: A user inputs information such as "customer in their 30s" and "product category of interest: home appliances," which is then converted to JSON format and sent to the server.

[0098] Server Means

[0099] The server is a central processing unit that analyzes received customer information and generates optimal suggestions and responses. This server is equipped with data processing capabilities, which retrieve necessary information by comparing it with a customer database. It also uses an AI engine to analyze historical data and statistics to generate appropriate suggestions and responses in real time. These generated suggestions and responses are then transmitted back to the terminal.

[0100] Specific example: Based on the information received by the server, such as "customer in their 30s" and "product category of interest: home appliances," the server analyzes similar past cases, generates a "discount campaign for a specific home appliance," and sends it to the terminal.

[0101] Circular process

[0102] The process of a user operating a terminal to input and transmit customer information, and then the server generating suggestions and responses based on that information and displaying them again on the user interface via the terminal, operates in real time and in a cyclical manner. This allows users to respond immediately to the individual needs of their customers.

[0103] Specific example: The terminal receives a notification about a "special campaign for home appliances targeting customers in their 30s" and displays this information on the user interface. The user can then make suggestions to the customer based on this information. Because information is collected, analyzed, and suggestions are made in real time, efficient customer service is achieved.

[0104] Example of a prompt

[0105] An example of a prompt to input into the generation AI model would be: "Create the best suggestion for a customer in their 30s whose product category of interest is home appliances."

[0106] These methods enable the system to achieve a consistent process of collecting, analyzing, and proposing customer information in real time, allowing for efficient customer service.

[0107] The flow of the specific processing in Example 1 will be explained using Figure 11.

[0108] Step 1: User Login

[0109] The user enters their username and password on the login screen. Then, when the user clicks the "Login" button, an authentication request is sent to the server.

[0110] Enter: Username and password

[0111] Data processing: Encrypt the username and password and send them to the server as an authentication request.

[0112] Output: Authentication result (success or failure)

[0113] Specific actions:

[0114] The server compares the received authentication information with the database and generates an authentication result.

[0115] The server sends the authentication result to the terminal.

[0116] The device displays the authentication result on the user interface.

[0117] Step 2: Enter customer information

[0118] After logging in, the user accesses the customer information input screen and enters information such as "customer's age" and "product categories of interest." Then, they press the "Submit" button.

[0119] Input: Customer's age, product categories of interest

[0120] Data processing: The input information is compiled into a single dataset and prepared for transmission to the server in the next step.

[0121] Output: Customer information dataset

[0122] Specific actions:

[0123] The user enters customer information into the input field.

[0124] The terminal collects the input information and combines it into a single dataset.

[0125] Step 3: Submit customer information

[0126] The terminal converts the customer information dataset collected from the user interface into JSON format, encrypts it using SSL / TLS, and sends it to the server.

[0127] Input: Dataset in customer information

[0128] Data processing: Convert the dataset to JSON format and encrypt it using SSL / TLS.

[0129] Output: Encrypted JSON data

[0130] Specific actions:

[0131] The terminal converts the customer information dataset into JSON format.

[0132] The terminal encrypts the converted JSON data using SSL / TLS.

[0133] Encrypted data is sent to the server.

[0134] Step 4: Analyzing customer information

[0135] The server parses and analyzes the customer information it receives. This analysis includes matching the data against the customer database and performing data analysis using an AI engine.

[0136] Input: Encrypted JSON data

[0137] Data processing: Parse JSON data and compare it with customer data. Furthermore, analyze historical data using an AI engine.

[0138] Output: Suggestions and answers based on the analysis results

[0139] Specific actions:

[0140] The server receives encrypted data and decrypts it.

[0141] The server parses the decrypted JSON data and extracts the necessary customer information.

[0142] The server cross-references the customer database and performs analysis using an AI engine.

[0143] Step 5: Generating proposals and responses

[0144] The server generates optimal suggestions and answers based on the analysis results, converts them to JSON format, and sends them to the terminal.

[0145] Input: Analysis results

[0146] Data processing: Generate suggestions and answers based on the analysis results and convert them to JSON format.

[0147] Output: JSON data of proposals and responses

[0148] Specific actions:

[0149] The server generates suggestions and answers based on the analysis results of the AI ​​engine.

[0150] The server converts the generated suggestions and responses into JSON format.

[0151] The server sends JSON data containing suggestions and responses to the terminal.

[0152] Step 6: Displaying suggestions and responses

[0153] The terminal displays suggestions and responses received from the server on the user interface.

[0154] Input: JSON data of suggestions and responses

[0155] Data processing: Parse JSON data and convert it into a format that can be displayed as suggestions or answers.

[0156] Output: Suggestions and answers displayed in the user interface

[0157] Specific actions:

[0158] The terminal parses the JSON data received from the server.

[0159] The device converts the suggested and response information into a format that can be displayed on the user interface.

[0160] The device displays suggestions and answers in the user interface.

[0161] Step 7: Circular Process

[0162] The process involves the user operating a terminal to input and submit customer information, and then the server generating suggestions and responses based on that information, which are then displayed on the user interface via the terminal. This process is repeated in real time and operates cyclically.

[0163] Input: New customer information

[0164] Data processing: The process involves repeatedly collecting, transmitting, analyzing, generating suggestions, and displaying new customer information.

[0165] Output: Latest suggestions and answers

[0166] Specific actions:

[0167] The user enters new customer information.

[0168] The device sends new information to the server.

[0169] The server analyzes the data, generates new suggestions or answers, and sends them to the terminal.

[0170] The device displays suggestions and answers in the user interface.

[0171] (Application Example 1)

[0172] 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."

[0173] Traditional content distribution services have struggled to suggest appropriate video content based on users' viewing history and preferences. This has resulted in an inability to effectively provide content that users are interested in, leading to decreased viewer satisfaction and reduced service usage.

[0174] 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.

[0175] In this invention, the server includes means for an AI engine that generates optimal suggestions and responses based on received customer information, data analysis means based on a generation AI model using prompt sentences, and data processing means for analyzing data by comparing it with a customer database. This enables real-time suggestions of optimal video content based on the user's viewing history and categories of interest.

[0176] "Customer information" refers to data about a user's viewing history and categories of interest.

[0177] A "user interface means" is a means of providing an interface for a user to input information and interact with the system.

[0178] "Terminal means" refers to devices or systems that have the role of sending and receiving data from the user interface means to the server.

[0179] A "server system" refers to a central processing unit that processes received data and generates optimal suggestions or responses.

[0180] An "AI engine" is a program or algorithm that uses artificial intelligence technology to analyze data and generate optimal suggestions or answers.

[0181] A "prompt message" is text information input into a generative AI model, specifically indicating instructions for analysis and generation.

[0182] A "generative AI model" is an algorithm that uses machine learning techniques to analyze past data and statistics to generate optimal suggestions or answers.

[0183] "Data analysis means" refers to the technology used by a server to process received data and generate optimal suggestions or answers.

[0184] A "customer database" is a database where data about customers is collected and used for analysis.

[0185] This invention relates to a system that inputs and transmits customer information in real time, analyzes that information, and proposes optimal video content. The system consists of a user interface, a terminal, and a server.

[0186] User interface means

[0187] It provides an interface for users to log in and enter their viewing history and categories of interest. After login authentication, users can enter information about their viewing history and categories of interest.

[0188] Specific example

[0189] The user enters their "username" and "password" on the login screen and clicks the "Login" button. Once the login is authenticated, the user is then taken to the user viewing history input screen, where they enter information such as "Recently watched videos: Action movies" and "Categories of interest: Horror, Science Fiction."

[0190] Terminal means

[0191] The terminal device is responsible for transmitting customer information entered through the user interface to the server, receiving responses from the server, and displaying them on the user interface. The terminal device ensures data security and real-time performance using appropriate communication protocols and encryption technologies.

[0192] Hardware and software to be used

[0193] JSON: Data format

[0194] HTTPS: Communication protocol

[0195] AES encryption: Data encryption technology

[0196] Server Means

[0197] The server is a central processing unit that processes received customer information and generates optimal suggestions and responses. The server includes data processing means for analyzing data by comparing it with a customer database, and data analysis means based on a generation AI model using prompt statements, generating appropriate video content suggestions in real time.

[0198] Hardware and software to be used

[0199] MongoDB: Database Management System

[0200] TENSORFLOW® and PyTorch: AI engine

[0201] The server generates suggestions based on the user's viewing history and categories of interest, and sends them to the device. These generated suggestions are then sent back to the device and displayed in the user interface.

[0202] Specific example

[0203] 1. The server analyzes the information received, such as "Recently watched videos: Action movies" and "Categories of interest: Horror, Science Fiction," and suggests "Specific horror movies or science fiction movies."

[0204] 2. Received suggestions are displayed on the user interface via the device, and the user views the content based on that information.

[0205] Example of a prompt

[0206] 1. "Recently watched video: Action movie"

[0207] 2. "Categories of interest: Horror, Science Fiction"

[0208] In this way, users can utilize a system that suggests optimal video content in real time based on their viewing history and preferences.

[0209] The flow of a specific process in Application Example 1 will be explained using Figure 12.

[0210] Step 1:

[0211] The user enters their authentication information on the login screen.

[0212] Specific operation: The user enters their "username" and "password" and presses the "Login" button. The entered authentication information is sent to the server via the terminal device.

[0213] Input: Username, Password

[0214] Output: Authentication result

[0215] Step 2:

[0216] The server authenticates the user's login information.

[0217] Specific operation: The server compares the received username and password with the database and generates an authentication result. If authentication is successful, it starts a session and returns the authentication result to the terminal.

[0218] Input: Username, Password

[0219] Output: Authentication result (success / failure)

[0220] Step 3:

[0221] The device displays the authentication result on the user interface.

[0222] Specific operation: The terminal displays the authentication result received from the server. If authentication is successful, it proceeds to the next customer information input screen. If authentication fails, an error message is displayed.

[0223] Input: Authentication result

[0224] Output: Customer information input screen or error message

[0225] Step 4:

[0226] The user enters their viewing history and categories of interest on a customer information input screen.

[0227] Specific operation: The user enters information such as "recently watched videos" and "categories of interest," and presses the "Submit" button. The entered information is sent to the server via the terminal.

[0228] Input: Viewing history, categories of interest

[0229] Output: Customer information data in JSON format

[0230] Step 5:

[0231] The server analyzes the customer information it receives.

[0232] Specific operation: The server stores the received customer information in a database and performs analysis using a generated AI model. Specifically, it identifies the most suitable video content by comparing it with similar past data based on viewing history and categories of interest.

[0233] Input: Customer information data in JSON format

[0234] Output: Suggestions for optimal video content

[0235] Step 6:

[0236] The server sends the terminal with the most suitable video content suggestions it has generated.

[0237] Specific operation: The server converts the optimal video content suggestions generated as a result of the analysis into JSON format and sends them to the terminal via a secure protocol (HTTPS).

[0238] Input: Suggestion of optimal video content

[0239] Output: Video content proposal data in JSON format

[0240] Step 7:

[0241] The device displays video content suggestions it has received on the user interface.

[0242] Specific operation: The terminal displays video content suggestions received from the server on the user interface, making them available for viewing by the user. The user can then click on the displayed content to watch it.

[0243] Input: Video content proposal data in JSON format

[0244] Output: Video content suggestion display on the user interface

[0245] In this way, users can utilize a system that suggests optimal video content in real time based on their viewing history and preferences.

[0246] 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.

[0247] This invention relates to a system that inputs and transmits customer information in real time, analyzes that information, and provides optimal suggestions and responses. This system includes a user interface, terminals, a server, and an emotion engine provided within the server, and each element works in conjunction with the others to respond quickly and appropriately to customer needs.

[0248] User interface means

[0249] The user interface provides an interface for users to input customer information. This interface includes a login screen, a customer information input screen, and a screen for displaying suggestions and responses. Users can log in to the system using the login authentication means and then operate the screens for inputting customer information.

[0250] Specific example:

[0251] The user enters their username and password on the login screen and clicks the "Login" button. Upon successful authentication, they are redirected to the customer information input screen where they enter information such as "customer's age" and "product categories of interest."

[0252] Terminal means

[0253] The terminal device transmits customer information entered through the user interface to the server and receives responses from the server, which are then displayed on the user interface. The terminal device uses appropriate communication protocols and encryption technologies to ensure data security and real-time performance.

[0254] Specific example:

[0255] The device receives information from the user, such as "customer in their 30s" and "product categories of interest: home appliances," converts it into JSON format, and sends it to the server.

[0256] Server Means

[0257] The server is a central processing unit that processes received customer information and generates optimal suggestions and responses. The server is equipped with data processing means and retrieves necessary information by comparing it with the customer database. It also uses an AI engine to analyze past data and statistics and generates appropriate suggestions and responses in real time. These generated suggestions and responses are then transmitted back to the terminal. Furthermore, the present invention incorporates an emotion engine that recognizes the user's emotional state and reflects it in the analysis results.

[0258] Emotional Engine

[0259] The emotion engine is designed to analyze the user's emotional state obtained from user interface and voice input methods. This allows the AI ​​engine to identify the emotional state based on the text and voice data entered by the user, and then generate more appropriate suggestions and responses based on that information.

[0260] Specific example:

[0261] The server receives user input data, and the emotion engine analyzes emotional states such as "joy," "anger," and "sadness." Based on this information, it generates "promotional information" for "happy customers" and suggestions for "prompt customer support" for "dissatisfied customers."

[0262] Circular process

[0263] The process in which a user operates a terminal to input and transmit customer information, and then the server generates suggestions and responses based on that information and displays them back on the user interface via the terminal, operates in a real-time, cyclical manner. By adding an emotion engine to this cycle, sophisticated suggestions that reflect the user's emotional state are realized.

[0264] Specific example:

[0265] The device receives a "special campaign on home appliances for customers in their 30s" and displays it in the user interface. Furthermore, if the user is "happy," even more special offers can be displayed, increasing satisfaction.

[0266] This system enables efficient and highly accurate customer service by collecting, analyzing, and recommending customer information in a consistent, real-time process, and by taking into account the user's emotional state.

[0267] The following describes the processing flow.

[0268] Step 1:

[0269] The user enters their username and password on the device's login screen and presses the "Login" button.

[0270] Step 2:

[0271] The terminal sends the entered username and password to the server.

[0272] Step 3:

[0273] The server compares the received username and password with the user information in the database to perform authentication.

[0274] Step 4:

[0275] If the server's authentication is successful, it generates an access token and sends it to the terminal.

[0276] Step 5:

[0277] The terminal receives the access token and redirects the user to the customer information input screen.

[0278] Step 6:

[0279] The user inputs information such as "age" and "interested product categories" on the customer information input screen and presses the "Send" button.

[0280] Step 7:

[0281] The terminal converts the input customer information into JSON format, encrypts it, and sends it to the server.

[0282] Step 8:

[0283] The server compares the received customer information with the database and uses the AI engine to generate optimal proposals and answers.

[0284] Step 9:

[0285] During the server's analysis of the customer information, the sentiment engine obtains the input text and voice data to analyze the user's sentiment.

[0286] Step 10:

[0287] The sentiment engine sends the analyzed sentiment data to the AI engine to generate more appropriate proposals and answers.

[0288] Step 11:

[0289] The server converts the proposals and answers generated by the AI engine into JSON format and sends them to the terminal.

[0290] Step 12:

[0291] The terminal analyzes suggestions and responses received from the server and displays them on the user interface.

[0292] Step 13:

[0293] The user responds to the customer based on the displayed suggestions and answers, and repeats the process by entering additional information as needed.

[0294] Specific example:

[0295] When a user proposes a "special campaign on home appliances" to a "customer in their 30s," if the customer is pleased, additional special offers will be displayed. In this way, appropriate suggestions can be made in real time and taking into account the customer's emotional state.

[0296] (Example 2)

[0297] 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".

[0298] Traditional customer service systems were unable to collect and analyze customer information in real time, and it was difficult to provide sophisticated suggestions that took into account the customer's emotional state. Furthermore, user authentication processes were often insufficiently secure, raising concerns about data reliability and security.

[0299] The identification processing performed 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 an artificial intelligence engine means for generating optimal suggestions and answers based on received customer information, an emotion analysis engine means for analyzing the user's emotional state, and a data processing means for analyzing data by comparing it with a customer database. This enables not only real-time collection, analysis, and generation of customer information, but also sophisticated suggestions that take into account the user's emotional state.

[0300] "Interface means" refers to screens or devices that allow users to input customer information and interact with the system.

[0301] A "terminal device" is a device that transmits customer information entered through an interface device to a server, receives a response from the server, and displays it on the interface.

[0302] A "server system" is a central processing unit that processes and analyzes received customer information and generates optimal suggestions and responses.

[0303] An "artificial intelligence engine" is a program that includes artificial intelligence algorithms to generate optimal suggestions and responses based on customer information.

[0304] A "sentiment analysis engine" is a program that includes an algorithm to identify the user's emotional state from their input data (text or voice) and reflect the analysis results in suggestions and responses.

[0305] A "data processing tool" is a program that analyzes data by comparing it with a customer database and obtains the necessary information.

[0306] An "authentication method" is a program that has the functionality to verify authentication information, such as a username and password, that a user uses to securely access a system.

[0307] The present invention relates to a system that inputs, transmits customer information in real time, analyzes the information, and provides optimal proposals and answers. This system includes interface means, terminal means, server means, and a sentiment analysis engine provided within the server means, and each element cooperates with one another to quickly and appropriately respond to customer needs.

[0308] Interface means

[0309] The interface means provides an interface for the user to input customer information. This interface includes a login screen, a customer information input screen, and a display screen for proposals and answers. The user can log in to the system using authentication means and then operate the screen for inputting customer information.

[0310] Specific example:

[0311] The user inputs "username" and "password" on the login screen and presses the "Login" button. If the authentication is successful, the user proceeds to the customer information input screen and inputs information such as "customer's age" and "product category of interest".

[0312] Terminal means

[0313] The terminal means has the role of transmitting the customer information input from the interface means to the server and receiving the response from the server and displaying it on the interface. The terminal means ensures the security and real-time nature of the data using appropriate communication protocols and encryption technologies.

[0314] Specific example:

[0315] The terminal receives information such as "a 35-year-old customer" and "product category of interest: home appliances" from the user, converts it into JSON format, and transmits it to the server.

[0316] Server means

[0317] The server is a central processing unit that processes received customer information and generates optimal suggestions and responses. The server is equipped with data processing capabilities, which retrieve necessary information by cross-referencing it with the customer database. It also uses an AI engine to analyze past data and statistics, generating appropriate suggestions and responses in real time. These generated suggestions and responses are then sent back to the terminal. Furthermore, the server incorporates an emotion analysis engine that recognizes the user's emotional state and reflects it in the analysis results.

[0318] Specific example:

[0319] The server receives user input data, and the emotion analysis engine analyzes emotional states such as "joy," "anger," and "sadness." Based on this information, it generates "promotional information" for "happy customers" and suggestions for "prompt customer support" for "dissatisfied customers."

[0320] Emotion analysis engine

[0321] The emotion analysis engine is designed to analyze the user's emotional state obtained from interface and voice input methods. This allows the AI ​​engine to identify the emotional state based on the text and voice data entered by the user, and then generate more appropriate suggestions and responses based on that information.

[0322] Specific example:

[0323] If the emotion analysis engine detects "joy," the server generates a "special promotional offer" for the "joyful customer" and sends it to the terminal.

[0324] Circular process

[0325] The process in which a user operates a terminal to input and submit customer information, and then the server generates suggestions and responses based on that information and displays them back on the interface via the terminal, operates in real time and cyclically. By adding an emotion analysis engine to this cycle, sophisticated suggestions that reflect the user's emotional state are realized.

[0326] Specific example:

[0327] The device receives a "Special Home Appliance Campaign for Customers Aged 35" and displays it on the interface. Furthermore, if the user is "happy," even more special offers can be displayed, increasing their satisfaction.

[0328] Example of a prompt

[0329] The following are examples of prompts for a generative AI model.

[0330] "We have a 35-year-old customer who is interested in home appliances. Please generate a special promotional offer for this enthusiastic customer."

[0331] This system not only allows for the collection, analysis, and recommendation of customer information in real time, efficiently and with high accuracy, but also enables more sophisticated customer service by taking into account the user's emotional state.

[0332] The flow of the specific processing in Example 2 will be explained using Figure 13.

[0333] Step 1:

[0334] The user enters their username and password on the login screen and presses the "Login" button. The entered authentication information is sent from the device to the server. The server compares the received authentication information with the database, and if authentication is successful, it returns an authentication success message and a URL to the next screen to the user.

[0335] input:

[0336] Username, password

[0337] output:

[0338] Authentication success message, URL for the next screen

[0339] Specific actions:

[0340] The user enters "Username: yamada" and "Password: 1234" and presses the login button. The server returns a "Authentication successful" message and a URL for the next screen.

[0341] Step 2:

[0342] The user is directed to a customer information input screen and enters the required information (e.g., customer's age, product categories of interest). The entered data is converted to JSON format by the terminal and sent to the server using a secure communication protocol.

[0343] input:

[0344] Customer age, product categories of interest

[0345] output:

[0346] Customer information in JSON format

[0347] Specific actions:

[0348] The user enters "Age: 35" and "Product Category of Interest: Home Appliances" and presses the submit button. The device generates data {"age": 35, "category": "Home Appliances"} and sends it to the server.

[0349] Step 3:

[0350] The server receives customer information sent from the terminal and compares that data with the database. Next, it runs the sentiment analysis engine to analyze the user's emotional state.

[0351] input:

[0352] Customer information in JSON format

[0353] output:

[0354] Customer's emotional state (e.g., joy, anger)

[0355] Specific actions:

[0356] The server receives data with the values ​​{"age": 35, "category": "home appliances"}, retrieves the relevant information from the database, and uses an emotion analysis engine to detect "joy".

[0357] Step 4:

[0358] The server uses an AI engine to generate optimal suggestions and responses based on the acquired customer data and emotional state. The generated suggestions and responses are then converted back into JSON format and sent to the terminal.

[0359] input:

[0360] Customer emotional state, customer data

[0361] output:

[0362] Suggestions and answers in JSON format

[0363] Specific actions:

[0364] The server generates a "special home appliance promotion offer" and sends it to the terminal as data for {"promotion": "special home appliance promotion offer"}.

[0365] Step 5:

[0366] The terminal displays received suggestions and responses in the user interface. Users can input new information or questions, and a similar process is repeated cyclically in real time.

[0367] input:

[0368] Suggestions and answers in JSON format

[0369] output:

[0370] Suggestions and answers displayed on the interface

[0371] Specific actions:

[0372] The terminal displays the received "Special Home Appliance Promotion Offer" on its interface, the user enters "I would like more information," and presses the send button again.

[0373] Specific example

[0374] Example of a prompt:

[0375] "We have a 35-year-old customer who is interested in home appliances. Please generate a special promotional offer for this enthusiastic customer."

[0376] This series of processes enables the collection, analysis, and generation of customer information in real time, efficiently and with high accuracy. Furthermore, by considering the user's emotional state, more appropriate and sophisticated customer service is achieved.

[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] In modern customer service, it is essential to provide appropriate suggestions and answers in real time, taking into account the customer's emotional state. However, conventional systems are time-consuming to input and analyze customer information, and it is difficult to generate suggestions that reflect the customer's emotional state. Therefore, to improve customer satisfaction and achieve efficient service, an advanced system that includes sentiment analysis is necessary.

[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 terminal means for transmitting customer information to the server for processing, server means equipped with an AI engine that generates optimal suggestions and answers based on the received customer information, server means for transmitting the generated suggestions and answers to the terminal, server means equipped with an emotion engine that analyzes the user's emotional state based on data acquired from a user interface means or voice input means, and server means equipped with an AI engine for generating optimal suggestions and answers that take the emotional state into consideration. This makes it possible to analyze the customer's emotional state in real time and immediately provide optimal suggestions and answers based on that analysis.

[0382] "Customer information" refers to information necessary for optimizing the service, such as the user's age, product categories of interest, and the content of their questions, which are entered or provided by the user.

[0383] A "user interface" is an interface through which a user accesses a system, inputs information, and receives suggestions and responses.

[0384] A "terminal device" is a communication device that transmits customer information to a server, receives a response from the server, and displays it on the user interface.

[0385] A "server system" is a central processing unit that analyzes customer information and generates and sends optimal suggestions and responses.

[0386] An "AI engine" is an algorithm that uses machine learning to generate optimal suggestions and responses based on the customer information it receives.

[0387] An "emotion engine" is an algorithm that analyzes a user's emotional state based on data obtained from a user interface or voice input method.

[0388] "Real-time analysis" is a process that instantly processes entered customer information and emotional states, and outputs results immediately.

[0389] "Optimal suggestions and answers" refer to providing information that is considered most beneficial to the user, based on analyzed customer data and emotional states.

[0390] A "data processing means" is a system component that has the function of analyzing data by comparing it with a customer database.

[0391] A "login authentication method" is a function that provides an authentication process for users to securely access a system.

[0392] This invention relates to a system that inputs and transmits customer information in real time, analyzes that information, and provides optimal suggestions and responses. This system includes a user interface, terminals, a server, and an emotion engine, and each element works in conjunction with the others to respond quickly and appropriately to customer needs.

[0393] 1. User Interface Means

[0394] The user interface provides an interface for users to input customer information. This includes a login screen, a customer information input screen, and a screen for displaying suggestions and responses. Users can log in to the system using the login authentication means and then operate the screens for inputting customer information.

[0395] 2. Terminal means

[0396] The terminal device transmits customer information entered through the user interface to the server and receives responses from the server, which are then displayed on the user interface. The terminal device uses appropriate communication protocols and encryption technologies to ensure data security and real-time performance.

[0397] 3. Server means

[0398] The server is a central processing unit that processes received customer information and generates optimal suggestions and responses. The server includes data processing, an AI engine, and an emotion engine, and retrieves necessary information by comparing it with the customer database. Furthermore, it recognizes the user's emotional state, reflects this in the analysis results, and generates suggestions and responses in real time.

[0399] 4. Emotional Engine

[0400] The emotion engine has the function of analyzing the user's emotional state obtained from user interface means and voice input means. This allows the AI ​​engine to identify the emotional state based on the text and voice data entered by the user, and then generate more appropriate suggestions and responses based on that.

[0401] Hardware and software to be used

[0402] Hardware: Smartphones, head-mounted displays (HMDs)

[0403] Software: Flask (Web application framework), Emotion Analysis library (emotion analysis), Product Recommendation library (product recommendation), data communication in JSON format.

[0404] Data processing and data calculation workflow

[0405] 1. Login: Users access the login screen via an application on their smartphone or HMD, enter their username and password, and authenticate.

[0406] 2. Entering and submitting customer information: After logging in, users enter questions and requests in voice or text format. This information is converted to JSON format and sent to the server.

[0407] 3. Sentiment Analysis: The server analyzes the received text data using an emotion analysis library to identify emotional states such as "joy" and "sadness."

[0408] 4. Product Recommendations: The product recommendation library generates optimal products and promotions by considering age, interest categories, and emotional state.

[0409] 5. Response Generation: Generates suggestions and answers in JSON format and sends them to the terminal device in real time. The results are displayed on the user interface.

[0410] Example: Example of a prompt message

[0411] "A customer in their 30s is looking for home appliances. Their area of ​​interest is the latest televisions. Currently, the customer is very happy. Please provide the best recommendation."

[0412] This will enable a system that automatically generates personalized suggestions and responses that take into account the user's emotional state based on the information provided by the user, and delivers them quickly to the user.

[0413] The flow of a specific process in Application Example 2 will be explained using Figure 14.

[0414] Step 1:

[0415] The user accesses the login screen via an application on their smartphone or HMD and authenticates by entering their username and password. The entered data (username and password) is sent to the server via the device. The server performs the authentication process and verifies that the entered username and password match existing information in the database. If authentication is successful, the server generates a login success response and sends it back to the device. If authentication fails, an error message is sent back to the device.

[0416] input:

[0417] Username

[0418] password

[0419] output:

[0420] Authentication success response or error message

[0421] Specific actions:

[0422] The user enters their username and password on the login screen.

[0423] The device sends the username and password to the server.

[0424] The server performs authentication and sends the result back to the terminal.

[0425] Step 2:

[0426] After logging in, users enter their age, product categories of interest, questions, and other customer information on a customer information input screen. The entered customer information is sent to the server via the terminal. The server converts this information into JSON format and prepares it for analysis.

[0427] input:

[0428] age

[0429] Product categories of interest

[0430] Question content

[0431] output:

[0432] Customer information in JSON format

[0433] Specific actions:

[0434] The user enters information on the customer information input screen.

[0435] The terminal converts the entered information into JSON format and sends it to the server.

[0436] Step 3:

[0437] The server performs sentiment analysis based on the received customer information (data in JSON format). It analyzes the entered questions and text information, and uses a sentiment analysis library to identify the customer's emotional state (e.g., "joy," "sadness," "anger"). This analysis result is then used by the AI ​​engine to generate optimal suggestions and responses.

[0438] input:

[0439] Customer information in JSON format

[0440] output:

[0441] Customer's emotional state (e.g., "joy," "sadness," etc.)

[0442] Specific actions:

[0443] The server uses an emotion analysis library to analyze text information and identify emotional states.

[0444] Step 4:

[0445] The server uses an AI engine to generate optimal suggestions and responses based on input information such as emotional state, age, and product categories of interest. The AI ​​engine refers to the customer database and historical data to select the most suitable products and promotional information that match the criteria. This suggested and responded information is then generated again in JSON format.

[0446] input:

[0447] age

[0448] Product categories of interest

[0449] Emotional state

[0450] output:

[0451] Best suggestions and answers (in JSON format)

[0452] Specific actions:

[0453] The server uses an AI engine to generate optimal suggestions and answers based on the input information.

[0454] The server converts the generated suggestions and responses into JSON format.

[0455] Step 5:

[0456] The generated suggestions and responses (data in JSON format) are sent from the server to the terminal. The terminal parses the received data and displays it to the user using a user interface. The displayed content may include special offers and support information tailored to the customer's emotional state.

[0457] input:

[0458] Best suggestions and answers (in JSON format)

[0459] output:

[0460] Display of suggestions and answers

[0461] Specific actions:

[0462] The server sends the generated suggestions and responses to the terminal.

[0463] The terminal analyzes the received data and displays it to the user using a user interface.

[0464] 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.

[0465] 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.

[0466] 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.

[0467] [Second Embodiment]

[0468] Figure 3 shows an example of the configuration of the data processing system 210 according to the second embodiment.

[0469] 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.

[0470] 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).

[0471] 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.

[0472] 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.

[0473] 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).

[0474] 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.

[0475] 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.

[0476] 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.

[0477] 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.

[0478] 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.

[0479] 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".

[0480] This invention relates to a system that inputs and transmits customer information in real time, analyzes that information, and provides optimal suggestions and responses. This system includes a user interface, terminals, and a server, and each element works in conjunction with the others to enable a rapid and appropriate response to customer needs.

[0481] User interface means

[0482] The user interface provides an interface for users to input customer information. This interface includes a login screen, a customer information input screen, and a screen for displaying suggestions and responses. Users can log in to the system using the login authentication means and then operate the screens for inputting customer information.

[0483] Specific example:

[0484] The user enters their username and password on the login screen and clicks the "Login" button. Once the login is authenticated, they are then taken to the customer information input screen where they enter information such as "customer's age" and "product categories of interest."

[0485] Terminal means

[0486] The terminal device transmits customer information entered through the user interface to the server and receives responses from the server, which are then displayed on the user interface. The terminal device uses appropriate communication protocols and encryption technologies to ensure data security and real-time performance.

[0487] Specific example:

[0488] The device receives information from the user, such as "customer in their 30s" and "product categories of interest: home appliances," converts it into JSON format, and sends it to the server.

[0489] Server Means

[0490] The server is a central processing unit that processes received customer information and generates optimal suggestions and responses. The server is equipped with data processing capabilities, which retrieve necessary information by comparing it with the customer database. It also uses an AI engine to analyze past data and statistics, generating appropriate suggestions and responses in real time. These generated suggestions and responses are then sent back to the terminal.

[0491] Specific example:

[0492] Based on the information received by the server, such as "customer in their 30s" and "product category of interest: home appliances," the server analyzes similar past cases, generates a "discount campaign for a specific home appliance," and sends it to the terminal.

[0493] Circular process

[0494] The process in which the user operates a terminal to input and transmit customer information, and then the server generates suggestions and responses based on that information and displays them again on the user interface via the terminal, operates in real time and cyclically. In this way, the user can respond immediately to the individual needs of the customer.

[0495] Specific example:

[0496] The terminal receives a message about a "special campaign for home appliances targeting customers in their 30s" and displays it on the user interface. The user then uses this information to make suggestions to customers.

[0497] This system enables efficient customer service by allowing for the collection, analysis, and recommendation of customer information in a consistent, real-time process.

[0498] The following describes the processing flow.

[0499] Step 1:

[0500] The user enters their username and password on the device's login screen and presses the "Login" button.

[0501] Step 2:

[0502] The terminal sends the entered username and password to the server.

[0503] Step 3:

[0504] The server compares the received username and password with the user information in the database to perform authentication.

[0505] Step 4:

[0506] If the server successfully authenticates, it generates an access token and sends it to the device.

[0507] Step 5:

[0508] The device receives an access token and redirects the user to the customer information input screen.

[0509] Step 6:

[0510] The user enters information such as "age" and "product categories of interest" on the customer information input screen and presses the "Submit" button.

[0511] Step 7:

[0512] The terminal converts the entered customer information into JSON format, encrypts it, and sends it to the server.

[0513] Step 8:

[0514] The server compares the received customer information with a database and uses an AI engine to generate optimal suggestions and responses.

[0515] Step 9:

[0516] The server converts the generated suggestions and responses into JSON format and sends them to the terminal.

[0517] Step 10:

[0518] The terminal analyzes suggestions and responses received from the server and displays them on the user interface.

[0519] Step 11:

[0520] The user responds to the customer based on the displayed suggestions and answers, and repeats the process by entering additional information as needed.

[0521] In this way, terminals, servers, and users work together to enable real-time, rapid, and appropriate customer service.

[0522] (Example 1)

[0523] 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."

[0524] Traditional customer information management systems have made efficient responses difficult because the process from customer information input to analysis and proposal generation is not performed in a real-time, cyclical manner. In particular, in order to respond to customer needs quickly and appropriately, it is necessary for information collection, analysis, and proposals to be performed seamlessly. Furthermore, ensuring information security and advanced analytical capabilities using AI models are also essential.

[0525] 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.

[0526] In this invention, the server includes a user interface means for inputting customer information, a terminal means for transmitting the customer information to the server for processing, a server means equipped with an AI engine that generates optimal suggestions and answers based on the received customer information, a server means for transmitting the generated suggestions and answers to the terminal, a terminal means for displaying the suggestions and answers on the user interface, and a system that operates cyclically to collect, analyze, and suggest customer information in real time. This enables the collection, analysis, and suggestion of customer information to be performed in real time as an integrated process, making it possible to respond quickly and appropriately to customer needs.

[0527] A "user interface means" refers to a means of providing an interface for users to input customer information and receive suggestions and responses.

[0528] "Terminal means" refers to means that transmit customer information entered from the user interface means to a server, receive a response from the server, and display it on the user interface means.

[0529] A "server means" is a central processing unit that receives, analyzes, and generates suggestions for customer information, and is equipped with an AI engine and data processing means.

[0530] An "AI engine" is an artificial intelligence (AI) computational model that analyzes past data and statistics based on received customer information to generate optimal suggestions and responses.

[0531] A "customer database" is a data storage system that stores customer information and provides necessary information in response to queries from a server.

[0532] JSON format is a standard format for representing data in a text-based format, and is primarily used for sending and receiving data.

[0533] SSL / TLS is a protocol that enables the encryption and secure transfer of data transmitted over the internet.

[0534] A "prompt sentence" is an instruction sentence to be input into a generative AI model, and it is a sentence that acts as a trigger to generate the optimal suggestion or answer based on specific conditions.

[0535] A "cyclical process" refers to a process in which customer information is collected, analyzed, proposals are generated, and displayed, all in real time and in a continuous manner.

[0536] This invention relates to a system that inputs and transmits customer information in real time, analyzes that information, and provides optimal suggestions and responses. This system includes a user interface, terminals, and a server, and each element works in conjunction with the others to enable a rapid and appropriate response to customer needs.

[0537] User interface means

[0538] Users access the system through a user interface. This interface includes a login screen, a customer information input screen, and a screen for displaying suggestions and responses. When a user enters their username and password on the login screen and presses the "Login" button, their login is authenticated, and they can proceed to the customer information input screen. Next, the user enters information such as "customer age" and "product categories of interest," and presses the submit button, sending the information to the terminal.

[0539] Terminal means

[0540] The terminal device transmits customer information entered through the user interface to the server and receives responses from the server, which are then displayed on the user interface. This terminal device uses HTTP or HTTPS as its communication protocol, and data encryption is performed using SSL / TLS. Information entered by the user is converted to JSON format and sent to the server. Responses received from the server are also in JSON format, which the terminal device parses and displays on the user interface.

[0541] Specific example: A user inputs information such as "customer in their 30s" and "product category of interest: home appliances," which is then converted to JSON format and sent to the server.

[0542] Server Means

[0543] The server is a central processing unit that analyzes received customer information and generates optimal suggestions and responses. This server is equipped with data processing capabilities, which retrieve necessary information by comparing it with a customer database. It also uses an AI engine to analyze historical data and statistics to generate appropriate suggestions and responses in real time. These generated suggestions and responses are then transmitted back to the terminal.

[0544] Specific example: Based on the information received by the server, such as "customer in their 30s" and "product category of interest: home appliances," the server analyzes similar past cases, generates a "discount campaign for a specific home appliance," and sends it to the terminal.

[0545] Circular process

[0546] The process of a user operating a terminal to input and transmit customer information, and then the server generating suggestions and responses based on that information and displaying them again on the user interface via the terminal, operates in real time and in a cyclical manner. This allows users to respond immediately to the individual needs of their customers.

[0547] Specific example: The terminal receives a notification about a "special campaign for home appliances targeting customers in their 30s" and displays this information on the user interface. The user can then make suggestions to the customer based on this information. Because information is collected, analyzed, and suggestions are made in real time, efficient customer service is achieved.

[0548] Example of a prompt

[0549] An example of a prompt to input into the generation AI model would be: "Create the best suggestion for a customer in their 30s whose product category of interest is home appliances."

[0550] These methods enable the system to achieve a consistent process of collecting, analyzing, and proposing customer information in real time, allowing for efficient customer service.

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

[0552] Step 1: User Login

[0553] The user enters their username and password on the login screen. Then, when the user clicks the "Login" button, an authentication request is sent to the server.

[0554] Enter: Username and password

[0555] Data processing: Encrypt the username and password and send them to the server as an authentication request.

[0556] Output: Authentication result (success or failure)

[0557] Specific actions:

[0558] The server compares the received authentication information with the database and generates an authentication result.

[0559] The server sends the authentication result to the terminal.

[0560] The device displays the authentication result on the user interface.

[0561] Step 2: Enter customer information

[0562] After logging in, the user accesses the customer information input screen and enters information such as "customer's age" and "product categories of interest." Then, they press the "Submit" button.

[0563] Input: Customer's age, product categories of interest

[0564] Data processing: The input information is compiled into a single dataset and prepared for transmission to the server in the next step.

[0565] Output: Customer information dataset

[0566] Specific actions:

[0567] The user enters customer information into the input field.

[0568] The terminal collects the input information and combines it into a single dataset.

[0569] Step 3: Submit customer information

[0570] The terminal converts the customer information dataset collected from the user interface into JSON format, encrypts it using SSL / TLS, and sends it to the server.

[0571] Input: Dataset in customer information

[0572] Data processing: Convert the dataset to JSON format and encrypt it using SSL / TLS.

[0573] Output: Encrypted JSON data

[0574] Specific actions:

[0575] The terminal converts the customer information dataset into JSON format.

[0576] The terminal encrypts the converted JSON data using SSL / TLS.

[0577] Encrypted data is sent to the server.

[0578] Step 4: Analyzing customer information

[0579] The server parses and analyzes the customer information it receives. This analysis includes matching the data against the customer database and performing data analysis using an AI engine.

[0580] Input: Encrypted JSON data

[0581] Data processing: Parse JSON data and compare it with customer data. Furthermore, analyze historical data using an AI engine.

[0582] Output: Suggestions and answers based on the analysis results

[0583] Specific actions:

[0584] The server receives encrypted data and decrypts it.

[0585] The server parses the decrypted JSON data and extracts the necessary customer information.

[0586] The server cross-references the customer database and performs analysis using an AI engine.

[0587] Step 5: Generating proposals and responses

[0588] The server generates optimal suggestions and answers based on the analysis results, converts them to JSON format, and sends them to the terminal.

[0589] Input: Analysis results

[0590] Data processing: Generate suggestions and answers based on the analysis results and convert them to JSON format.

[0591] Output: JSON data of proposals and responses

[0592] Specific actions:

[0593] The server generates suggestions and answers based on the analysis results of the AI ​​engine.

[0594] The server converts the generated suggestions and responses into JSON format.

[0595] The server sends JSON data containing suggestions and responses to the terminal.

[0596] Step 6: Displaying suggestions and responses

[0597] The terminal displays suggestions and responses received from the server on the user interface.

[0598] Input: JSON data of suggestions and responses

[0599] Data processing: Parse JSON data and convert it into a format that can be displayed as suggestions or answers.

[0600] Output: Suggestions and answers displayed in the user interface

[0601] Specific actions:

[0602] The terminal parses the JSON data received from the server.

[0603] The device converts the suggested and response information into a format that can be displayed on the user interface.

[0604] The device displays suggestions and answers in the user interface.

[0605] Step 7: Circular Process

[0606] The process involves the user operating a terminal to input and submit customer information, and then the server generating suggestions and responses based on that information, which are then displayed on the user interface via the terminal. This process is repeated in real time and operates cyclically.

[0607] Input: New customer information

[0608] Data processing: The process involves repeatedly collecting, transmitting, analyzing, generating suggestions, and displaying new customer information.

[0609] Output: Latest suggestions and answers

[0610] Specific actions:

[0611] The user enters new customer information.

[0612] The device sends new information to the server.

[0613] The server analyzes the data, generates new suggestions or answers, and sends them to the terminal.

[0614] The device displays suggestions and answers in the user interface.

[0615] (Application Example 1)

[0616] 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."

[0617] Traditional content distribution services have struggled to suggest appropriate video content based on users' viewing history and preferences. This has resulted in an inability to effectively provide content that users are interested in, leading to decreased viewer satisfaction and reduced service usage.

[0618] 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.

[0619] In this invention, the server includes means for an AI engine that generates optimal suggestions and responses based on received customer information, data analysis means based on a generation AI model using prompt sentences, and data processing means for analyzing data by comparing it with a customer database. This enables real-time suggestions of optimal video content based on the user's viewing history and categories of interest.

[0620] "Customer information" refers to data about a user's viewing history and categories of interest.

[0621] A "user interface means" is a means of providing an interface for a user to input information and interact with the system.

[0622] "Terminal means" refers to devices or systems that have the role of sending and receiving data from the user interface means to the server.

[0623] A "server system" refers to a central processing unit that processes received data and generates optimal suggestions or responses.

[0624] An "AI engine" is a program or algorithm that uses artificial intelligence technology to analyze data and generate optimal suggestions or answers.

[0625] A "prompt message" is text information input into a generative AI model, specifically indicating instructions for analysis and generation.

[0626] A "generative AI model" is an algorithm that uses machine learning techniques to analyze past data and statistics to generate optimal suggestions or answers.

[0627] "Data analysis means" refers to the technology used by a server to process received data and generate optimal suggestions or answers.

[0628] A "customer database" is a database where data about customers is collected and used for analysis.

[0629] This invention relates to a system that inputs and transmits customer information in real time, analyzes that information, and proposes optimal video content. The system consists of a user interface, a terminal, and a server.

[0630] User interface means

[0631] It provides an interface for users to log in and enter their viewing history and categories of interest. After login authentication, users can enter information about their viewing history and categories of interest.

[0632] Specific example

[0633] The user enters their "username" and "password" on the login screen and clicks the "Login" button. Once the login is authenticated, the user is then taken to the user viewing history input screen, where they enter information such as "Recently watched videos: Action movies" and "Categories of interest: Horror, Science Fiction."

[0634] Terminal means

[0635] The terminal device is responsible for transmitting customer information entered through the user interface to the server, receiving responses from the server, and displaying them on the user interface. The terminal device ensures data security and real-time performance using appropriate communication protocols and encryption technologies.

[0636] Hardware and software to be used

[0637] JSON: Data format

[0638] HTTPS: Communication protocol

[0639] AES encryption: Data encryption technology

[0640] Server Means

[0641] The server is a central processing unit that processes received customer information and generates optimal suggestions and responses. The server includes data processing means for analyzing data by comparing it with a customer database, and data analysis means based on a generation AI model using prompt statements, generating appropriate video content suggestions in real time.

[0642] Hardware and software to be used

[0643] MongoDB: Database Management System

[0644] TensorFlow and PyTorch: AI Engines

[0645] The server generates suggestions based on the user's viewing history and categories of interest, and sends them to the device. These generated suggestions are then sent back to the device and displayed in the user interface.

[0646] Specific example

[0647] 1. The server analyzes the information received, such as "Recently watched videos: Action movies" and "Categories of interest: Horror, Science Fiction," and suggests "Specific horror movies or science fiction movies."

[0648] 2. Received suggestions are displayed on the user interface via the device, and the user views the content based on that information.

[0649] Example of a prompt

[0650] 1. "Recently watched video: Action movie"

[0651] 2. "Categories of interest: Horror, Science Fiction"

[0652] In this way, users can utilize a system that suggests optimal video content in real time based on their viewing history and preferences.

[0653] The flow of a specific process in Application Example 1 will be explained using Figure 12.

[0654] Step 1:

[0655] The user enters their authentication information on the login screen.

[0656] Specific operation: The user enters their "username" and "password" and presses the "Login" button. The entered authentication information is sent to the server via the terminal device.

[0657] Input: Username, Password

[0658] Output: Authentication result

[0659] Step 2:

[0660] The server authenticates the user's login information.

[0661] Specific operation: The server compares the received username and password with the database and generates an authentication result. If authentication is successful, it starts a session and returns the authentication result to the terminal.

[0662] Input: Username, Password

[0663] Output: Authentication result (success / failure)

[0664] Step 3:

[0665] The device displays the authentication result on the user interface.

[0666] Specific operation: The terminal displays the authentication result received from the server. If authentication is successful, it proceeds to the next customer information input screen. If authentication fails, an error message is displayed.

[0667] Input: Authentication result

[0668] Output: Customer information input screen or error message

[0669] Step 4:

[0670] The user enters their viewing history and categories of interest on a customer information input screen.

[0671] Specific operation: The user enters information such as "recently watched videos" and "categories of interest," and presses the "Submit" button. The entered information is sent to the server via the terminal.

[0672] Input: Viewing history, categories of interest

[0673] Output: Customer information data in JSON format

[0674] Step 5:

[0675] The server analyzes the customer information it receives.

[0676] Specific operation: The server stores the received customer information in a database and performs analysis using a generated AI model. Specifically, it identifies the most suitable video content by comparing it with similar past data based on viewing history and categories of interest.

[0677] Input: Customer information data in JSON format

[0678] Output: Suggestions for optimal video content

[0679] Step 6:

[0680] The server sends the terminal with the most suitable video content suggestions it has generated.

[0681] Specific operation: The server converts the optimal video content suggestions generated as a result of the analysis into JSON format and sends them to the terminal via a secure protocol (HTTPS).

[0682] Input: Suggestion of optimal video content

[0683] Output: Video content proposal data in JSON format

[0684] Step 7:

[0685] The device displays video content suggestions it has received on the user interface.

[0686] Specific operation: The terminal displays video content suggestions received from the server on the user interface, making them available for viewing by the user. The user can then click on the displayed content to watch it.

[0687] Input: Video content proposal data in JSON format

[0688] Output: Video content suggestion display on the user interface

[0689] In this way, users can utilize a system that suggests optimal video content in real time based on their viewing history and preferences.

[0690] 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.

[0691] This invention relates to a system that inputs and transmits customer information in real time, analyzes that information, and provides optimal suggestions and responses. This system includes a user interface, terminals, a server, and an emotion engine provided within the server, and each element works in conjunction with the others to respond quickly and appropriately to customer needs.

[0692] User interface means

[0693] The user interface provides an interface for users to input customer information. This interface includes a login screen, a customer information input screen, and a screen for displaying suggestions and responses. Users can log in to the system using the login authentication means and then operate the screens for inputting customer information.

[0694] Specific example:

[0695] The user enters their username and password on the login screen and clicks the "Login" button. Upon successful authentication, they are redirected to the customer information input screen where they enter information such as "customer's age" and "product categories of interest."

[0696] Terminal means

[0697] The terminal device transmits customer information entered through the user interface to the server and receives responses from the server, which are then displayed on the user interface. The terminal device uses appropriate communication protocols and encryption technologies to ensure data security and real-time performance.

[0698] Specific example:

[0699] The device receives information from the user, such as "customer in their 30s" and "product categories of interest: home appliances," converts it into JSON format, and sends it to the server.

[0700] Server Means

[0701] The server is a central processing unit that processes received customer information and generates optimal suggestions and responses. The server is equipped with data processing means and retrieves necessary information by comparing it with the customer database. It also uses an AI engine to analyze past data and statistics and generates appropriate suggestions and responses in real time. These generated suggestions and responses are then transmitted back to the terminal. Furthermore, the present invention incorporates an emotion engine that recognizes the user's emotional state and reflects it in the analysis results.

[0702] Emotional Engine

[0703] The emotion engine is designed to analyze the user's emotional state obtained from user interface and voice input methods. This allows the AI ​​engine to identify the emotional state based on the text and voice data entered by the user, and then generate more appropriate suggestions and responses based on that information.

[0704] Specific example:

[0705] The server receives user input data, and the emotion engine analyzes emotional states such as "joy," "anger," and "sadness." Based on this information, it generates "promotional information" for "happy customers" and suggestions for "prompt customer support" for "dissatisfied customers."

[0706] Circular process

[0707] The process in which a user operates a terminal to input and transmit customer information, and then the server generates suggestions and responses based on that information and displays them back on the user interface via the terminal, operates in a real-time, cyclical manner. By adding an emotion engine to this cycle, sophisticated suggestions that reflect the user's emotional state are realized.

[0708] Specific example:

[0709] The device receives a "special campaign on home appliances for customers in their 30s" and displays it in the user interface. Furthermore, if the user is "happy," even more special offers can be displayed, increasing satisfaction.

[0710] This system enables efficient and highly accurate customer service by collecting, analyzing, and recommending customer information in a consistent, real-time process, and by taking into account the user's emotional state.

[0711] The following describes the processing flow.

[0712] Step 1:

[0713] The user enters their username and password on the device's login screen and presses the "Login" button.

[0714] Step 2:

[0715] The terminal sends the entered username and password to the server.

[0716] Step 3:

[0717] The server compares the received username and password with the user information in the database to perform authentication.

[0718] Step 4:

[0719] If the server successfully authenticates, it generates an access token and sends it to the device.

[0720] Step 5:

[0721] The device receives an access token and redirects the user to the customer information input screen.

[0722] Step 6:

[0723] The user enters information such as "age" and "product categories of interest" on the customer information input screen and presses the "Submit" button.

[0724] Step 7:

[0725] The terminal converts the entered customer information into JSON format, encrypts it, and sends it to the server.

[0726] Step 8:

[0727] The server compares the received customer information with a database and uses an AI engine to generate optimal suggestions and responses.

[0728] Step 9:

[0729] While the server is analyzing customer information, the emotion engine retrieves input text and audio data to analyze the user's emotions.

[0730] Step 10:

[0731] The emotion engine analyzes emotional data and sends it to the AI ​​engine to generate more appropriate suggestions and responses.

[0732] Step 11:

[0733] The server converts the suggestions and answers generated by the AI ​​engine into JSON format and sends them to the terminal.

[0734] Step 12:

[0735] The terminal analyzes suggestions and responses received from the server and displays them on the user interface.

[0736] Step 13:

[0737] The user responds to the customer based on the displayed suggestions and answers, and repeats the process by entering additional information as needed.

[0738] Specific example:

[0739] When a user proposes a "special campaign on home appliances" to a "customer in their 30s," if the customer is pleased, additional special offers will be displayed. In this way, appropriate suggestions can be made in real time and taking into account the customer's emotional state.

[0740] (Example 2)

[0741] 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".

[0742] Traditional customer service systems were unable to collect and analyze customer information in real time, and it was difficult to provide sophisticated suggestions that took into account the customer's emotional state. Furthermore, user authentication processes were often insufficiently secure, raising concerns about data reliability and security.

[0743] The identification processing performed 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 an artificial intelligence engine means for generating optimal suggestions and answers based on received customer information, an emotion analysis engine means for analyzing the user's emotional state, and a data processing means for analyzing data by comparing it with a customer database. This enables not only real-time collection, analysis, and generation of customer information, but also sophisticated suggestions that take into account the user's emotional state.

[0744] "Interface means" refers to screens or devices that allow users to input customer information and interact with the system.

[0745] A "terminal device" is a device that transmits customer information entered through an interface device to a server, receives a response from the server, and displays it on the interface.

[0746] A "server system" is a central processing unit that processes and analyzes received customer information and generates optimal suggestions and responses.

[0747] An "artificial intelligence engine" is a program that includes artificial intelligence algorithms to generate optimal suggestions and responses based on customer information.

[0748] A "sentiment analysis engine" is a program that includes an algorithm to identify the user's emotional state from their input data (text or voice) and reflect the analysis results in suggestions and responses.

[0749] A "data processing tool" is a program that analyzes data by comparing it with a customer database and obtains the necessary information.

[0750] An "authentication method" is a program that has the functionality to verify authentication information, such as a username and password, that a user uses to securely access a system.

[0751] This invention relates to a system that inputs and transmits customer information in real time, analyzes that information, and provides optimal suggestions and responses. This system includes interface means, terminal means, server means, and an emotion analysis engine provided within the server means, and each element works in cooperation with the others to respond quickly and appropriately to customer needs.

[0752] Interface means

[0753] The interface provides an interface for users to input customer information. This interface includes a login screen, a customer information input screen, and a screen for displaying suggestions and responses. Users can log in to the system using authentication means and then operate the screens for inputting customer information.

[0754] Specific example:

[0755] The user enters their "username" and "password" on the login screen and clicks the "Login" button. Upon successful authentication, they are redirected to the customer information input screen where they enter information such as "customer's age" and "product categories of interest."

[0756] Terminal means

[0757] The terminal device transmits customer information entered through the interface device to the server and receives responses from the server, which are then displayed on the interface. The terminal device uses appropriate communication protocols and encryption technologies to ensure data security and real-time performance.

[0758] Specific example:

[0759] The device receives information from the user, such as "customer age 35" and "product categories of interest: home appliances," converts it into JSON format, and sends it to the server.

[0760] Server Means

[0761] The server is a central processing unit that processes received customer information and generates optimal suggestions and responses. The server is equipped with data processing capabilities, which retrieve necessary information by cross-referencing it with the customer database. It also uses an AI engine to analyze past data and statistics, generating appropriate suggestions and responses in real time. These generated suggestions and responses are then sent back to the terminal. Furthermore, the server incorporates an emotion analysis engine that recognizes the user's emotional state and reflects it in the analysis results.

[0762] Specific example:

[0763] The server receives user input data, and the emotion analysis engine analyzes emotional states such as "joy," "anger," and "sadness." Based on this information, it generates "promotional information" for "happy customers" and suggestions for "prompt customer support" for "dissatisfied customers."

[0764] Emotion analysis engine

[0765] The emotion analysis engine is designed to analyze the user's emotional state obtained from interface and voice input methods. This allows the AI ​​engine to identify the emotional state based on the text and voice data entered by the user, and then generate more appropriate suggestions and responses based on that information.

[0766] Specific example:

[0767] If the emotion analysis engine detects "joy," the server generates a "special promotional offer" for the "joyful customer" and sends it to the terminal.

[0768] Circular process

[0769] The process in which a user operates a terminal to input and submit customer information, and then the server generates suggestions and responses based on that information and displays them back on the interface via the terminal, operates in real time and cyclically. By adding an emotion analysis engine to this cycle, sophisticated suggestions that reflect the user's emotional state are realized.

[0770] Specific example:

[0771] The device receives a "Special Home Appliance Campaign for Customers Aged 35" and displays it on the interface. Furthermore, if the user is "happy," even more special offers can be displayed, increasing their satisfaction.

[0772] Example of a prompt

[0773] The following are examples of prompts for a generative AI model.

[0774] "We have a 35-year-old customer who is interested in home appliances. Please generate a special promotional offer for this enthusiastic customer."

[0775] This system not only allows for the collection, analysis, and recommendation of customer information in real time, efficiently and with high accuracy, but also enables more sophisticated customer service by taking into account the user's emotional state.

[0776] The flow of the specific processing in Example 2 will be explained using Figure 13.

[0777] Step 1:

[0778] The user enters their username and password on the login screen and presses the "Login" button. The entered authentication information is sent from the device to the server. The server compares the received authentication information with the database, and if authentication is successful, it returns an authentication success message and a URL to the next screen to the user.

[0779] input:

[0780] Username, password

[0781] output:

[0782] Authentication success message, URL for the next screen

[0783] Specific actions:

[0784] The user enters "Username: yamada" and "Password: 1234" and presses the login button. The server returns a "Authentication successful" message and a URL for the next screen.

[0785] Step 2:

[0786] The user is directed to a customer information input screen and enters the required information (e.g., customer's age, product categories of interest). The entered data is converted to JSON format by the terminal and sent to the server using a secure communication protocol.

[0787] input:

[0788] Customer age, product categories of interest

[0789] output:

[0790] Customer information in JSON format

[0791] Specific actions:

[0792] The user enters "Age: 35" and "Product Category of Interest: Home Appliances" and presses the submit button. The device generates data {"age": 35, "category": "Home Appliances"} and sends it to the server.

[0793] Step 3:

[0794] The server receives customer information sent from the terminal and compares that data with the database. Next, it runs the sentiment analysis engine to analyze the user's emotional state.

[0795] input:

[0796] Customer information in JSON format

[0797] output:

[0798] Customer's emotional state (e.g., joy, anger)

[0799] Specific actions:

[0800] The server receives data with the values ​​{"age": 35, "category": "home appliances"}, retrieves the relevant information from the database, and uses an emotion analysis engine to detect "joy".

[0801] Step 4:

[0802] The server uses an AI engine to generate optimal suggestions and responses based on the acquired customer data and emotional state. The generated suggestions and responses are then converted back into JSON format and sent to the terminal.

[0803] input:

[0804] Customer emotional state, customer data

[0805] output:

[0806] Suggestions and answers in JSON format

[0807] Specific actions:

[0808] The server generates a "special home appliance promotion offer" and sends it to the terminal as data for {"promotion": "special home appliance promotion offer"}.

[0809] Step 5:

[0810] The terminal displays received suggestions and responses in the user interface. Users can input new information or questions, and a similar process is repeated cyclically in real time.

[0811] input:

[0812] Suggestions and answers in JSON format

[0813] output:

[0814] Suggestions and answers displayed on the interface

[0815] Specific actions:

[0816] The terminal displays the received "Special Home Appliance Promotion Offer" on its interface, the user enters "I would like more information," and presses the send button again.

[0817] Specific example

[0818] Example of a prompt:

[0819] "We have a 35-year-old customer who is interested in home appliances. Please generate a special promotional offer for this enthusiastic customer."

[0820] This series of processes enables the collection, analysis, and generation of customer information in real time, efficiently and with high accuracy. Furthermore, by considering the user's emotional state, more appropriate and sophisticated customer service is achieved.

[0821] (Application Example 2)

[0822] 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."

[0823] In modern customer service, it is essential to provide appropriate suggestions and answers in real time, taking into account the customer's emotional state. However, conventional systems are time-consuming to input and analyze customer information, and it is difficult to generate suggestions that reflect the customer's emotional state. Therefore, to improve customer satisfaction and achieve efficient service, an advanced system that includes sentiment analysis is necessary.

[0824] 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.

[0825] In this invention, the server includes terminal means for transmitting customer information to the server for processing, server means equipped with an AI engine that generates optimal suggestions and answers based on the received customer information, server means for transmitting the generated suggestions and answers to the terminal, server means equipped with an emotion engine that analyzes the user's emotional state based on data acquired from a user interface means or voice input means, and server means equipped with an AI engine for generating optimal suggestions and answers that take the emotional state into consideration. This makes it possible to analyze the customer's emotional state in real time and immediately provide optimal suggestions and answers based on that analysis.

[0826] "Customer information" refers to information necessary for optimizing the service, such as the user's age, product categories of interest, and the content of their questions, which are entered or provided by the user.

[0827] A "user interface" is an interface through which a user accesses a system, inputs information, and receives suggestions and responses.

[0828] A "terminal device" is a communication device that transmits customer information to a server, receives a response from the server, and displays it on the user interface.

[0829] A "server system" is a central processing unit that analyzes customer information and generates and sends optimal suggestions and responses.

[0830] An "AI engine" is an algorithm that uses machine learning to generate optimal suggestions and responses based on the customer information it receives.

[0831] An "emotion engine" is an algorithm that analyzes a user's emotional state based on data obtained from a user interface or voice input method.

[0832] "Real-time analysis" is a process that instantly processes entered customer information and emotional states, and outputs results immediately.

[0833] "Optimal suggestions and answers" refer to providing information that is considered most beneficial to the user, based on analyzed customer data and emotional states.

[0834] A "data processing means" is a system component that has the function of analyzing data by comparing it with a customer database.

[0835] A "login authentication method" is a function that provides an authentication process for users to securely access a system.

[0836] This invention relates to a system that inputs and transmits customer information in real time, analyzes that information, and provides optimal suggestions and responses. This system includes a user interface, terminals, a server, and an emotion engine, and each element works in conjunction with the others to respond quickly and appropriately to customer needs.

[0837] 1. User Interface Means

[0838] The user interface provides an interface for users to input customer information. This includes a login screen, a customer information input screen, and a screen for displaying suggestions and responses. Users can log in to the system using the login authentication means and then operate the screens for inputting customer information.

[0839] 2. Terminal means

[0840] The terminal device transmits customer information entered through the user interface to the server and receives responses from the server, which are then displayed on the user interface. The terminal device uses appropriate communication protocols and encryption technologies to ensure data security and real-time performance.

[0841] 3. Server means

[0842] The server is a central processing unit that processes received customer information and generates optimal suggestions and responses. The server includes data processing, an AI engine, and an emotion engine, and retrieves necessary information by comparing it with the customer database. Furthermore, it recognizes the user's emotional state, reflects this in the analysis results, and generates suggestions and responses in real time.

[0843] 4. Emotional Engine

[0844] The emotion engine has the function of analyzing the user's emotional state obtained from user interface means and voice input means. This allows the AI ​​engine to identify the emotional state based on the text and voice data entered by the user, and then generate more appropriate suggestions and responses based on that.

[0845] Hardware and software to be used

[0846] Hardware: Smartphones, head-mounted displays (HMDs)

[0847] Software: Flask (Web application framework), Emotion Analysis library (emotion analysis), Product Recommendation library (product recommendation), data communication in JSON format.

[0848] Data processing and data calculation workflow

[0849] 1. Login: Users access the login screen via an application on their smartphone or HMD, enter their username and password, and authenticate.

[0850] 2. Entering and submitting customer information: After logging in, users enter questions and requests in voice or text format. This information is converted to JSON format and sent to the server.

[0851] 3. Sentiment Analysis: The server analyzes the received text data using an emotion analysis library to identify emotional states such as "joy" and "sadness."

[0852] 4. Product Recommendations: The product recommendation library generates optimal products and promotions by considering age, interest categories, and emotional state.

[0853] 5. Response Generation: Generates suggestions and answers in JSON format and sends them to the terminal device in real time. The results are displayed on the user interface.

[0854] Example: Example of a prompt message

[0855] "A customer in their 30s is looking for home appliances. Their area of ​​interest is the latest televisions. Currently, the customer is very happy. Please provide the best recommendation."

[0856] This will enable a system that automatically generates personalized suggestions and responses that take into account the user's emotional state based on the information provided by the user, and delivers them quickly to the user.

[0857] The flow of a specific process in Application Example 2 will be explained using Figure 14.

[0858] Step 1:

[0859] The user accesses the login screen via an application on their smartphone or HMD and authenticates by entering their username and password. The entered data (username and password) is sent to the server via the device. The server performs the authentication process and verifies that the entered username and password match existing information in the database. If authentication is successful, the server generates a login success response and sends it back to the device. If authentication fails, an error message is sent back to the device.

[0860] input:

[0861] Username

[0862] password

[0863] output:

[0864] Authentication success response or error message

[0865] Specific actions:

[0866] The user enters their username and password on the login screen.

[0867] The device sends the username and password to the server.

[0868] The server performs authentication and sends the result back to the terminal.

[0869] Step 2:

[0870] After logging in, users enter their age, product categories of interest, questions, and other customer information on a customer information input screen. The entered customer information is sent to the server via the terminal. The server converts this information into JSON format and prepares it for analysis.

[0871] input:

[0872] age

[0873] Product categories of interest

[0874] Question content

[0875] output:

[0876] Customer information in JSON format

[0877] Specific actions:

[0878] The user enters information on the customer information input screen.

[0879] The terminal converts the entered information into JSON format and sends it to the server.

[0880] Step 3:

[0881] The server performs sentiment analysis based on the received customer information (data in JSON format). It analyzes the entered questions and text information, and uses a sentiment analysis library to identify the customer's emotional state (e.g., "joy," "sadness," "anger"). This analysis result is then used by the AI ​​engine to generate optimal suggestions and responses.

[0882] input:

[0883] Customer information in JSON format

[0884] output:

[0885] Customer's emotional state (e.g., "joy," "sadness," etc.)

[0886] Specific actions:

[0887] The server uses an emotion analysis library to analyze text information and identify emotional states.

[0888] Step 4:

[0889] The server uses an AI engine to generate optimal suggestions and responses based on input information such as emotional state, age, and product categories of interest. The AI ​​engine refers to the customer database and historical data to select the most suitable products and promotional information that match the criteria. This suggested and responded information is then generated again in JSON format.

[0890] input:

[0891] age

[0892] Product categories of interest

[0893] Emotional state

[0894] output:

[0895] Best suggestions and answers (in JSON format)

[0896] Specific actions:

[0897] The server uses an AI engine to generate optimal suggestions and answers based on the input information.

[0898] The server converts the generated suggestions and responses into JSON format.

[0899] Step 5:

[0900] The generated suggestions and responses (data in JSON format) are sent from the server to the terminal. The terminal parses the received data and displays it to the user using a user interface. The displayed content may include special offers and support information tailored to the customer's emotional state.

[0901] input:

[0902] Best suggestions and answers (in JSON format)

[0903] output:

[0904] Display of suggestions and answers

[0905] Specific actions:

[0906] The server sends the generated suggestions and responses to the terminal.

[0907] The terminal analyzes the received data and displays it to the user using a user interface.

[0908] 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.

[0909] 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.

[0910] 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.

[0911] [Third Embodiment]

[0912] Figure 5 shows an example of the configuration of the data processing system 310 according to the third embodiment.

[0913] 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.

[0914] 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).

[0915] 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.

[0916] 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.

[0917] 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).

[0918] 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.

[0919] 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.

[0920] 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.

[0921] 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.

[0922] 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.

[0923] 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".

[0924] This invention relates to a system that inputs and transmits customer information in real time, analyzes that information, and provides optimal suggestions and responses. This system includes a user interface, terminals, and a server, and each element works in conjunction with the others to enable a rapid and appropriate response to customer needs.

[0925] User interface means

[0926] The user interface provides an interface for users to input customer information. This interface includes a login screen, a customer information input screen, and a screen for displaying suggestions and responses. Users can log in to the system using the login authentication means and then operate the screens for inputting customer information.

[0927] Specific example:

[0928] The user enters their username and password on the login screen and clicks the "Login" button. Once the login is authenticated, they are then taken to the customer information input screen where they enter information such as "customer's age" and "product categories of interest."

[0929] Terminal means

[0930] The terminal device transmits customer information entered through the user interface to the server and receives responses from the server, which are then displayed on the user interface. The terminal device uses appropriate communication protocols and encryption technologies to ensure data security and real-time performance.

[0931] Specific example:

[0932] The device receives information from the user, such as "customer in their 30s" and "product categories of interest: home appliances," converts it into JSON format, and sends it to the server.

[0933] Server Means

[0934] The server is a central processing unit that processes received customer information and generates optimal suggestions and responses. The server is equipped with data processing capabilities, which retrieve necessary information by comparing it with the customer database. It also uses an AI engine to analyze past data and statistics, generating appropriate suggestions and responses in real time. These generated suggestions and responses are then sent back to the terminal.

[0935] Specific example:

[0936] Based on the information received by the server, such as "customer in their 30s" and "product category of interest: home appliances," the server analyzes similar past cases, generates a "discount campaign for a specific home appliance," and sends it to the terminal.

[0937] Circular process

[0938] The process in which the user operates a terminal to input and transmit customer information, and then the server generates suggestions and responses based on that information and displays them again on the user interface via the terminal, operates in real time and cyclically. In this way, the user can respond immediately to the individual needs of the customer.

[0939] Specific example:

[0940] The terminal receives a message about a "special campaign for home appliances targeting customers in their 30s" and displays it on the user interface. The user then uses this information to make suggestions to customers.

[0941] This system enables efficient customer service by allowing for the collection, analysis, and recommendation of customer information in a consistent, real-time process.

[0942] The following describes the processing flow.

[0943] Step 1:

[0944] The user enters their username and password on the device's login screen and presses the "Login" button.

[0945] Step 2:

[0946] The terminal sends the entered username and password to the server.

[0947] Step 3:

[0948] The server compares the received username and password with the user information in the database to perform authentication.

[0949] Step 4:

[0950] If the server successfully authenticates, it generates an access token and sends it to the device.

[0951] Step 5:

[0952] The device receives an access token and redirects the user to the customer information input screen.

[0953] Step 6:

[0954] The user enters information such as "age" and "product categories of interest" on the customer information input screen and presses the "Submit" button.

[0955] Step 7:

[0956] The terminal converts the entered customer information into JSON format, encrypts it, and sends it to the server.

[0957] Step 8:

[0958] The server compares the received customer information with a database and uses an AI engine to generate optimal suggestions and responses.

[0959] Step 9:

[0960] The server converts the generated suggestions and responses into JSON format and sends them to the terminal.

[0961] Step 10:

[0962] The terminal analyzes suggestions and responses received from the server and displays them on the user interface.

[0963] Step 11:

[0964] The user responds to the customer based on the displayed suggestions and answers, and repeats the process by entering additional information as needed.

[0965] In this way, terminals, servers, and users work together to enable real-time, rapid, and appropriate customer service.

[0966] (Example 1)

[0967] 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."

[0968] Traditional customer information management systems have made efficient responses difficult because the process from customer information input to analysis and proposal generation is not performed in a real-time, cyclical manner. In particular, in order to respond to customer needs quickly and appropriately, it is necessary for information collection, analysis, and proposals to be performed seamlessly. Furthermore, ensuring information security and advanced analytical capabilities using AI models are also essential.

[0969] 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.

[0970] In this invention, the server includes a user interface means for inputting customer information, a terminal means for transmitting the customer information to the server for processing, a server means equipped with an AI engine that generates optimal suggestions and answers based on the received customer information, a server means for transmitting the generated suggestions and answers to the terminal, a terminal means for displaying the suggestions and answers on the user interface, and a system that operates cyclically to collect, analyze, and suggest customer information in real time. This enables the collection, analysis, and suggestion of customer information to be performed in real time as an integrated process, making it possible to respond quickly and appropriately to customer needs.

[0971] A "user interface means" refers to a means of providing an interface for users to input customer information and receive suggestions and responses.

[0972] "Terminal means" refers to means that transmit customer information entered from the user interface means to a server, receive a response from the server, and display it on the user interface means.

[0973] A "server means" is a central processing unit that receives, analyzes, and generates suggestions for customer information, and is equipped with an AI engine and data processing means.

[0974] An "AI engine" is an artificial intelligence (AI) computational model that analyzes past data and statistics based on received customer information to generate optimal suggestions and responses.

[0975] A "customer database" is a data storage system that stores customer information and provides necessary information in response to queries from a server.

[0976] JSON format is a standard format for representing data in a text-based format, and is primarily used for sending and receiving data.

[0977] SSL / TLS is a protocol that enables the encryption and secure transfer of data transmitted over the internet.

[0978] A "prompt sentence" is an instruction sentence to be input into a generative AI model, and it is a sentence that acts as a trigger to generate the optimal suggestion or answer based on specific conditions.

[0979] A "cyclical process" refers to a process in which customer information is collected, analyzed, proposals are generated, and displayed, all in real time and in a continuous manner.

[0980] This invention relates to a system that inputs and transmits customer information in real time, analyzes that information, and provides optimal suggestions and responses. This system includes a user interface, terminals, and a server, and each element works in conjunction with the others to enable a rapid and appropriate response to customer needs.

[0981] User interface means

[0982] Users access the system through a user interface. This interface includes a login screen, a customer information input screen, and a screen for displaying suggestions and responses. When a user enters their username and password on the login screen and presses the "Login" button, their login is authenticated, and they can proceed to the customer information input screen. Next, the user enters information such as "customer age" and "product categories of interest," and presses the submit button, sending the information to the terminal.

[0983] Terminal means

[0984] The terminal device transmits customer information entered through the user interface to the server and receives responses from the server, which are then displayed on the user interface. This terminal device uses HTTP or HTTPS as its communication protocol, and data encryption is performed using SSL / TLS. Information entered by the user is converted to JSON format and sent to the server. Responses received from the server are also in JSON format, which the terminal device parses and displays on the user interface.

[0985] Specific example: A user inputs information such as "customer in their 30s" and "product category of interest: home appliances," which is then converted to JSON format and sent to the server.

[0986] Server Means

[0987] The server is a central processing unit that analyzes received customer information and generates optimal suggestions and responses. This server is equipped with data processing capabilities, which retrieve necessary information by comparing it with a customer database. It also uses an AI engine to analyze historical data and statistics to generate appropriate suggestions and responses in real time. These generated suggestions and responses are then transmitted back to the terminal.

[0988] Specific example: Based on the information received by the server, such as "customer in their 30s" and "product category of interest: home appliances," the server analyzes similar past cases, generates a "discount campaign for a specific home appliance," and sends it to the terminal.

[0989] Circular process

[0990] The process of a user operating a terminal to input and transmit customer information, and then the server generating suggestions and responses based on that information and displaying them again on the user interface via the terminal, operates in real time and in a cyclical manner. This allows users to respond immediately to the individual needs of their customers.

[0991] Specific example: The terminal receives a notification about a "special campaign for home appliances targeting customers in their 30s" and displays this information on the user interface. The user can then make suggestions to the customer based on this information. Because information is collected, analyzed, and suggestions are made in real time, efficient customer service is achieved.

[0992] Example of a prompt

[0993] An example of a prompt to input into the generation AI model would be: "Create the best suggestion for a customer in their 30s whose product category of interest is home appliances."

[0994] These methods enable the system to achieve a consistent process of collecting, analyzing, and proposing customer information in real time, allowing for efficient customer service.

[0995] The flow of the specific processing in Example 1 will be explained using Figure 11.

[0996] Step 1: User Login

[0997] The user enters their username and password on the login screen. Then, when the user clicks the "Login" button, an authentication request is sent to the server.

[0998] Enter: Username and password

[0999] Data processing: Encrypt the username and password and send them to the server as an authentication request.

[1000] Output: Authentication result (success or failure)

[1001] Specific actions:

[1002] The server compares the received authentication information with the database and generates an authentication result.

[1003] The server sends the authentication result to the terminal.

[1004] The device displays the authentication result on the user interface.

[1005] Step 2: Enter customer information

[1006] After logging in, the user accesses the customer information input screen and enters information such as "customer's age" and "product categories of interest." Then, they press the "Submit" button.

[1007] Input: Customer's age, product categories of interest

[1008] Data processing: The input information is compiled into a single dataset and prepared for transmission to the server in the next step.

[1009] Output: Customer information dataset

[1010] Specific actions:

[1011] The user enters customer information into the input field.

[1012] The terminal collects the input information and combines it into a single dataset.

[1013] Step 3: Submit customer information

[1014] The terminal converts the customer information dataset collected from the user interface into JSON format, encrypts it using SSL / TLS, and sends it to the server.

[1015] Input: Dataset in customer information

[1016] Data processing: Convert the dataset to JSON format and encrypt it using SSL / TLS.

[1017] Output: Encrypted JSON data

[1018] Specific actions:

[1019] The terminal converts the customer information dataset into JSON format.

[1020] The terminal encrypts the converted JSON data using SSL / TLS.

[1021] Encrypted data is sent to the server.

[1022] Step 4: Analyzing customer information

[1023] The server parses and analyzes the customer information it receives. This analysis includes matching the data against the customer database and performing data analysis using an AI engine.

[1024] Input: Encrypted JSON data

[1025] Data processing: Parse JSON data and compare it with customer data. Furthermore, analyze historical data using an AI engine.

[1026] Output: Suggestions and answers based on the analysis results

[1027] Specific actions:

[1028] The server receives encrypted data and decrypts it.

[1029] The server parses the decrypted JSON data and extracts the necessary customer information.

[1030] The server cross-references the customer database and performs analysis using an AI engine.

[1031] Step 5: Generating proposals and responses

[1032] The server generates optimal suggestions and answers based on the analysis results, converts them to JSON format, and sends them to the terminal.

[1033] Input: Analysis results

[1034] Data processing: Generate suggestions and answers based on the analysis results and convert them to JSON format.

[1035] Output: JSON data of proposals and responses

[1036] Specific actions:

[1037] The server generates suggestions and answers based on the analysis results of the AI ​​engine.

[1038] The server converts the generated suggestions and responses into JSON format.

[1039] The server sends JSON data containing suggestions and responses to the terminal.

[1040] Step 6: Displaying suggestions and responses

[1041] The terminal displays suggestions and responses received from the server on the user interface.

[1042] Input: JSON data of suggestions and responses

[1043] Data processing: Parse JSON data and convert it into a format that can be displayed as suggestions or answers.

[1044] Output: Suggestions and answers displayed in the user interface

[1045] Specific actions:

[1046] The terminal parses the JSON data received from the server.

[1047] The device converts the suggested and response information into a format that can be displayed on the user interface.

[1048] The device displays suggestions and answers in the user interface.

[1049] Step 7: Circular Process

[1050] The process involves the user operating a terminal to input and submit customer information, and then the server generating suggestions and responses based on that information, which are then displayed on the user interface via the terminal. This process is repeated in real time and operates cyclically.

[1051] Input: New customer information

[1052] Data processing: The process involves repeatedly collecting, transmitting, analyzing, generating suggestions, and displaying new customer information.

[1053] Output: Latest suggestions and answers

[1054] Specific actions:

[1055] The user enters new customer information.

[1056] The device sends new information to the server.

[1057] The server analyzes the data, generates new suggestions or answers, and sends them to the terminal.

[1058] The device displays suggestions and answers in the user interface.

[1059] (Application Example 1)

[1060] 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."

[1061] Traditional content distribution services have struggled to suggest appropriate video content based on users' viewing history and preferences. This has resulted in an inability to effectively provide content that users are interested in, leading to decreased viewer satisfaction and reduced service usage.

[1062] 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.

[1063] In this invention, the server includes means for an AI engine that generates optimal suggestions and responses based on received customer information, data analysis means based on a generation AI model using prompt sentences, and data processing means for analyzing data by comparing it with a customer database. This enables real-time suggestions of optimal video content based on the user's viewing history and categories of interest.

[1064] "Customer information" refers to data about a user's viewing history and categories of interest.

[1065] A "user interface means" is a means of providing an interface for a user to input information and interact with the system.

[1066] "Terminal means" refers to devices or systems that have the role of sending and receiving data from the user interface means to the server.

[1067] A "server system" refers to a central processing unit that processes received data and generates optimal suggestions or responses.

[1068] An "AI engine" is a program or algorithm that uses artificial intelligence technology to analyze data and generate optimal suggestions or answers.

[1069] A "prompt message" is text information input into a generative AI model, specifically indicating instructions for analysis and generation.

[1070] A "generative AI model" is an algorithm that uses machine learning techniques to analyze past data and statistics to generate optimal suggestions or answers.

[1071] "Data analysis means" refers to the technology used by a server to process received data and generate optimal suggestions or answers.

[1072] A "customer database" is a database where data about customers is collected and used for analysis.

[1073] This invention relates to a system that inputs and transmits customer information in real time, analyzes that information, and proposes optimal video content. The system consists of a user interface, a terminal, and a server.

[1074] User interface means

[1075] It provides an interface for users to log in and enter their viewing history and categories of interest. After login authentication, users can enter information about their viewing history and categories of interest.

[1076] Specific example

[1077] The user enters their "username" and "password" on the login screen and clicks the "Login" button. Once the login is authenticated, the user is then taken to the user viewing history input screen, where they enter information such as "Recently watched videos: Action movies" and "Categories of interest: Horror, Science Fiction."

[1078] Terminal means

[1079] The terminal device is responsible for transmitting customer information entered through the user interface to the server, receiving responses from the server, and displaying them on the user interface. The terminal device ensures data security and real-time performance using appropriate communication protocols and encryption technologies.

[1080] Hardware and software to be used

[1081] JSON: Data format

[1082] HTTPS: Communication protocol

[1083] AES encryption: Data encryption technology

[1084] Server Means

[1085] The server is a central processing unit that processes received customer information and generates optimal suggestions and responses. The server includes data processing means for analyzing data by comparing it with a customer database, and data analysis means based on a generation AI model using prompt statements, generating appropriate video content suggestions in real time.

[1086] Hardware and software to be used

[1087] MongoDB: Database Management System

[1088] TensorFlow and PyTorch: AI Engines

[1089] The server generates suggestions based on the user's viewing history and categories of interest, and sends them to the device. These generated suggestions are then sent back to the device and displayed in the user interface.

[1090] Specific example

[1091] 1. The server analyzes the information received, such as "Recently watched videos: Action movies" and "Categories of interest: Horror, Science Fiction," and suggests "Specific horror movies or science fiction movies."

[1092] 2. Received suggestions are displayed on the user interface via the device, and the user views the content based on that information.

[1093] Example of a prompt

[1094] 1. "Recently watched video: Action movie"

[1095] 2. "Categories of interest: Horror, Science Fiction"

[1096] In this way, users can utilize a system that suggests optimal video content in real time based on their viewing history and preferences.

[1097] The flow of a specific process in Application Example 1 will be explained using Figure 12.

[1098] Step 1:

[1099] The user enters their authentication information on the login screen.

[1100] Specific operation: The user enters their "username" and "password" and presses the "Login" button. The entered authentication information is sent to the server via the terminal device.

[1101] Input: Username, Password

[1102] Output: Authentication result

[1103] Step 2:

[1104] The server authenticates the user's login information.

[1105] Specific operation: The server compares the received username and password with the database and generates an authentication result. If authentication is successful, it starts a session and returns the authentication result to the terminal.

[1106] Input: Username, Password

[1107] Output: Authentication result (success / failure)

[1108] Step 3:

[1109] The device displays the authentication result on the user interface.

[1110] Specific operation: The terminal displays the authentication result received from the server. If authentication is successful, it proceeds to the next customer information input screen. If authentication fails, an error message is displayed.

[1111] Input: Authentication result

[1112] Output: Customer information input screen or error message

[1113] Step 4:

[1114] The user enters their viewing history and categories of interest on a customer information input screen.

[1115] Specific operation: The user enters information such as "recently watched videos" and "categories of interest," and presses the "Submit" button. The entered information is sent to the server via the terminal.

[1116] Input: Viewing history, categories of interest

[1117] Output: Customer information data in JSON format

[1118] Step 5:

[1119] The server analyzes the customer information it receives.

[1120] Specific operation: The server stores the received customer information in a database and performs analysis using a generated AI model. Specifically, it identifies the most suitable video content by comparing it with similar past data based on viewing history and categories of interest.

[1121] Input: Customer information data in JSON format

[1122] Output: Suggestions for optimal video content

[1123] Step 6:

[1124] The server sends the terminal with the most suitable video content suggestions it has generated.

[1125] Specific operation: The server converts the optimal video content suggestions generated as a result of the analysis into JSON format and sends them to the terminal via a secure protocol (HTTPS).

[1126] Input: Suggestion of optimal video content

[1127] Output: Video content proposal data in JSON format

[1128] Step 7:

[1129] The device displays video content suggestions it has received on the user interface.

[1130] Specific operation: The terminal displays video content suggestions received from the server on the user interface, making them available for viewing by the user. The user can then click on the displayed content to watch it.

[1131] Input: Video content proposal data in JSON format

[1132] Output: Video content suggestion display on the user interface

[1133] In this way, users can utilize a system that suggests optimal video content in real time based on their viewing history and preferences.

[1134] 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.

[1135] This invention relates to a system that inputs and transmits customer information in real time, analyzes that information, and provides optimal suggestions and responses. This system includes a user interface, terminals, a server, and an emotion engine provided within the server, and each element works in conjunction with the others to respond quickly and appropriately to customer needs.

[1136] User interface means

[1137] The user interface provides an interface for users to input customer information. This interface includes a login screen, a customer information input screen, and a screen for displaying suggestions and responses. Users can log in to the system using the login authentication means and then operate the screens for inputting customer information.

[1138] Specific example:

[1139] The user enters their username and password on the login screen and clicks the "Login" button. Upon successful authentication, they are redirected to the customer information input screen where they enter information such as "customer's age" and "product categories of interest."

[1140] Terminal means

[1141] The terminal device transmits customer information entered through the user interface to the server and receives responses from the server, which are then displayed on the user interface. The terminal device uses appropriate communication protocols and encryption technologies to ensure data security and real-time performance.

[1142] Specific example:

[1143] The device receives information from the user, such as "customer in their 30s" and "product categories of interest: home appliances," converts it into JSON format, and sends it to the server.

[1144] Server Means

[1145] The server is a central processing unit that processes received customer information and generates optimal suggestions and responses. The server is equipped with data processing means and retrieves necessary information by comparing it with the customer database. It also uses an AI engine to analyze past data and statistics and generates appropriate suggestions and responses in real time. These generated suggestions and responses are then transmitted back to the terminal. Furthermore, the present invention incorporates an emotion engine that recognizes the user's emotional state and reflects it in the analysis results.

[1146] Emotional Engine

[1147] The emotion engine is designed to analyze the user's emotional state obtained from user interface and voice input methods. This allows the AI ​​engine to identify the emotional state based on the text and voice data entered by the user, and then generate more appropriate suggestions and responses based on that information.

[1148] Specific example:

[1149] The server receives user input data, and the emotion engine analyzes emotional states such as "joy," "anger," and "sadness." Based on this information, it generates "promotional information" for "happy customers" and suggestions for "prompt customer support" for "dissatisfied customers."

[1150] Circular process

[1151] The process in which a user operates a terminal to input and transmit customer information, and then the server generates suggestions and responses based on that information and displays them back on the user interface via the terminal, operates in a real-time, cyclical manner. By adding an emotion engine to this cycle, sophisticated suggestions that reflect the user's emotional state are realized.

[1152] Specific example:

[1153] The device receives a "special campaign on home appliances for customers in their 30s" and displays it in the user interface. Furthermore, if the user is "happy," even more special offers can be displayed, increasing satisfaction.

[1154] This system enables efficient and highly accurate customer service by collecting, analyzing, and recommending customer information in a consistent, real-time process, and by taking into account the user's emotional state.

[1155] The following describes the processing flow.

[1156] Step 1:

[1157] The user enters their username and password on the device's login screen and presses the "Login" button.

[1158] Step 2:

[1159] The terminal sends the entered username and password to the server.

[1160] Step 3:

[1161] The server compares the received username and password with the user information in the database to perform authentication.

[1162] Step 4:

[1163] If the server successfully authenticates, it generates an access token and sends it to the device.

[1164] Step 5:

[1165] The device receives an access token and redirects the user to the customer information input screen.

[1166] Step 6:

[1167] The user enters information such as "age" and "product categories of interest" on the customer information input screen and presses the "Submit" button.

[1168] Step 7:

[1169] The terminal converts the entered customer information into JSON format, encrypts it, and sends it to the server.

[1170] Step 8:

[1171] The server compares the received customer information with a database and uses an AI engine to generate optimal suggestions and responses.

[1172] Step 9:

[1173] While the server is analyzing customer information, the emotion engine retrieves input text and audio data to analyze the user's emotions.

[1174] Step 10:

[1175] The emotion engine analyzes emotional data and sends it to the AI ​​engine to generate more appropriate suggestions and responses.

[1176] Step 11:

[1177] The server converts the suggestions and answers generated by the AI ​​engine into JSON format and sends them to the terminal.

[1178] Step 12:

[1179] The terminal analyzes suggestions and responses received from the server and displays them on the user interface.

[1180] Step 13:

[1181] The user responds to the customer based on the displayed suggestions and answers, and repeats the process by entering additional information as needed.

[1182] Specific example:

[1183] When a user proposes a "special campaign on home appliances" to a "customer in their 30s," if the customer is pleased, additional special offers will be displayed. In this way, appropriate suggestions can be made in real time and taking into account the customer's emotional state.

[1184] (Example 2)

[1185] 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."

[1186] Traditional customer service systems were unable to collect and analyze customer information in real time, and it was difficult to provide sophisticated suggestions that took into account the customer's emotional state. Furthermore, user authentication processes were often insufficiently secure, raising concerns about data reliability and security.

[1187] The identification processing performed 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 an artificial intelligence engine means for generating optimal suggestions and answers based on received customer information, an emotion analysis engine means for analyzing the user's emotional state, and a data processing means for analyzing data by comparing it with a customer database. This enables not only real-time collection, analysis, and generation of customer information, but also sophisticated suggestions that take into account the user's emotional state.

[1188] "Interface means" refers to screens or devices that allow users to input customer information and interact with the system.

[1189] A "terminal device" is a device that transmits customer information entered through an interface device to a server, receives a response from the server, and displays it on the interface.

[1190] A "server system" is a central processing unit that processes and analyzes received customer information and generates optimal suggestions and responses.

[1191] An "artificial intelligence engine" is a program that includes artificial intelligence algorithms to generate optimal suggestions and responses based on customer information.

[1192] A "sentiment analysis engine" is a program that includes an algorithm to identify the user's emotional state from their input data (text or voice) and reflect the analysis results in suggestions and responses.

[1193] A "data processing tool" is a program that analyzes data by comparing it with a customer database and obtains the necessary information.

[1194] An "authentication method" is a program that has the functionality to verify authentication information, such as a username and password, that a user uses to securely access a system.

[1195] This invention relates to a system that inputs and transmits customer information in real time, analyzes that information, and provides optimal suggestions and responses. This system includes interface means, terminal means, server means, and an emotion analysis engine provided within the server means, and each element works in cooperation with the others to respond quickly and appropriately to customer needs.

[1196] Interface means

[1197] The interface provides an interface for users to input customer information. This interface includes a login screen, a customer information input screen, and a screen for displaying suggestions and responses. Users can log in to the system using authentication means and then operate the screens for inputting customer information.

[1198] Specific example:

[1199] The user enters their "username" and "password" on the login screen and clicks the "Login" button. Upon successful authentication, they are redirected to the customer information input screen where they enter information such as "customer's age" and "product categories of interest."

[1200] Terminal means

[1201] The terminal device transmits customer information entered through the interface device to the server and receives responses from the server, which are then displayed on the interface. The terminal device uses appropriate communication protocols and encryption technologies to ensure data security and real-time performance.

[1202] Specific example:

[1203] The device receives information from the user, such as "customer age 35" and "product categories of interest: home appliances," converts it into JSON format, and sends it to the server.

[1204] Server Means

[1205] The server is a central processing unit that processes received customer information and generates optimal suggestions and responses. The server is equipped with data processing capabilities, which retrieve necessary information by cross-referencing it with the customer database. It also uses an AI engine to analyze past data and statistics, generating appropriate suggestions and responses in real time. These generated suggestions and responses are then sent back to the terminal. Furthermore, the server incorporates an emotion analysis engine that recognizes the user's emotional state and reflects it in the analysis results.

[1206] Specific example:

[1207] The server receives user input data, and the emotion analysis engine analyzes emotional states such as "joy," "anger," and "sadness." Based on this information, it generates "promotional information" for "happy customers" and suggestions for "prompt customer support" for "dissatisfied customers."

[1208] Emotion analysis engine

[1209] The emotion analysis engine is designed to analyze the user's emotional state obtained from interface and voice input methods. This allows the AI ​​engine to identify the emotional state based on the text and voice data entered by the user, and then generate more appropriate suggestions and responses based on that information.

[1210] Specific example:

[1211] If the emotion analysis engine detects "joy," the server generates a "special promotional offer" for the "joyful customer" and sends it to the terminal.

[1212] Circular process

[1213] The process in which a user operates a terminal to input and submit customer information, and then the server generates suggestions and responses based on that information and displays them back on the interface via the terminal, operates in real time and cyclically. By adding an emotion analysis engine to this cycle, sophisticated suggestions that reflect the user's emotional state are realized.

[1214] Specific example:

[1215] The device receives a "Special Home Appliance Campaign for Customers Aged 35" and displays it on the interface. Furthermore, if the user is "happy," even more special offers can be displayed, increasing their satisfaction.

[1216] Example of a prompt

[1217] The following are examples of prompts for a generative AI model.

[1218] "We have a 35-year-old customer who is interested in home appliances. Please generate a special promotional offer for this enthusiastic customer."

[1219] This system not only allows for the collection, analysis, and recommendation of customer information in real time, efficiently and with high accuracy, but also enables more sophisticated customer service by taking into account the user's emotional state.

[1220] The flow of the specific processing in Example 2 will be explained using Figure 13.

[1221] Step 1:

[1222] The user enters their username and password on the login screen and presses the "Login" button. The entered authentication information is sent from the device to the server. The server compares the received authentication information with the database, and if authentication is successful, it returns an authentication success message and a URL to the next screen to the user.

[1223] input:

[1224] Username, password

[1225] output:

[1226] Authentication success message, URL for the next screen

[1227] Specific actions:

[1228] The user enters "Username: yamada" and "Password: 1234" and presses the login button. The server returns a "Authentication successful" message and a URL for the next screen.

[1229] Step 2:

[1230] The user is directed to a customer information input screen and enters the required information (e.g., customer's age, product categories of interest). The entered data is converted to JSON format by the terminal and sent to the server using a secure communication protocol.

[1231] input:

[1232] Customer age, product categories of interest

[1233] output:

[1234] Customer information in JSON format

[1235] Specific actions:

[1236] The user enters "Age: 35" and "Product Category of Interest: Home Appliances" and presses the submit button. The device generates data {"age": 35, "category": "Home Appliances"} and sends it to the server.

[1237] Step 3:

[1238] The server receives customer information sent from the terminal and compares that data with the database. Next, it runs the sentiment analysis engine to analyze the user's emotional state.

[1239] input:

[1240] Customer information in JSON format

[1241] output:

[1242] Customer's emotional state (e.g., joy, anger)

[1243] Specific actions:

[1244] The server receives data with the values ​​{"age": 35, "category": "home appliances"}, retrieves the relevant information from the database, and uses an emotion analysis engine to detect "joy".

[1245] Step 4:

[1246] The server uses an AI engine to generate optimal suggestions and responses based on the acquired customer data and emotional state. The generated suggestions and responses are then converted back into JSON format and sent to the terminal.

[1247] input:

[1248] Customer emotional state, customer data

[1249] output:

[1250] Suggestions and answers in JSON format

[1251] Specific actions:

[1252] The server generates a "special home appliance promotion offer" and sends it to the terminal as data for {"promotion": "special home appliance promotion offer"}.

[1253] Step 5:

[1254] The terminal displays received suggestions and responses in the user interface. Users can input new information or questions, and a similar process is repeated cyclically in real time.

[1255] input:

[1256] Suggestions and answers in JSON format

[1257] output:

[1258] Suggestions and answers displayed on the interface

[1259] Specific actions:

[1260] The terminal displays the received "Special Home Appliance Promotion Offer" on its interface, the user enters "I would like more information," and presses the send button again.

[1261] Specific example

[1262] Example of a prompt:

[1263] "We have a 35-year-old customer who is interested in home appliances. Please generate a special promotional offer for this enthusiastic customer."

[1264] This series of processes enables the collection, analysis, and generation of customer information in real time, efficiently and with high accuracy. Furthermore, by considering the user's emotional state, more appropriate and sophisticated customer service is achieved.

[1265] (Application Example 2)

[1266] 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."

[1267] In modern customer service, it is essential to provide appropriate suggestions and answers in real time, taking into account the customer's emotional state. However, conventional systems are time-consuming to input and analyze customer information, and it is difficult to generate suggestions that reflect the customer's emotional state. Therefore, to improve customer satisfaction and achieve efficient service, an advanced system that includes sentiment analysis is necessary.

[1268] 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.

[1269] In this invention, the server includes terminal means for transmitting customer information to the server for processing, server means equipped with an AI engine that generates optimal suggestions and answers based on the received customer information, server means for transmitting the generated suggestions and answers to the terminal, server means equipped with an emotion engine that analyzes the user's emotional state based on data acquired from a user interface means or voice input means, and server means equipped with an AI engine for generating optimal suggestions and answers that take the emotional state into consideration. This makes it possible to analyze the customer's emotional state in real time and immediately provide optimal suggestions and answers based on that analysis.

[1270] "Customer information" refers to information necessary for optimizing the service, such as the user's age, product categories of interest, and the content of their questions, which are entered or provided by the user.

[1271] A "user interface" is an interface through which a user accesses a system, inputs information, and receives suggestions and responses.

[1272] A "terminal device" is a communication device that transmits customer information to a server, receives a response from the server, and displays it on the user interface.

[1273] A "server system" is a central processing unit that analyzes customer information and generates and sends optimal suggestions and responses.

[1274] An "AI engine" is an algorithm that uses machine learning to generate optimal suggestions and responses based on the customer information it receives.

[1275] An "emotion engine" is an algorithm that analyzes a user's emotional state based on data obtained from a user interface or voice input method.

[1276] "Real-time analysis" is a process that instantly processes entered customer information and emotional states, and outputs results immediately.

[1277] "Optimal suggestions and answers" refer to providing information that is considered most beneficial to the user, based on analyzed customer data and emotional states.

[1278] A "data processing means" is a system component that has the function of analyzing data by comparing it with a customer database.

[1279] A "login authentication method" is a function that provides an authentication process for users to securely access a system.

[1280] This invention relates to a system that inputs and transmits customer information in real time, analyzes that information, and provides optimal suggestions and responses. This system includes a user interface, terminals, a server, and an emotion engine, and each element works in conjunction with the others to respond quickly and appropriately to customer needs.

[1281] 1. User Interface Means

[1282] The user interface provides an interface for users to input customer information. This includes a login screen, a customer information input screen, and a screen for displaying suggestions and responses. Users can log in to the system using the login authentication means and then operate the screens for inputting customer information.

[1283] 2. Terminal means

[1284] The terminal device transmits customer information entered through the user interface to the server and receives responses from the server, which are then displayed on the user interface. The terminal device uses appropriate communication protocols and encryption technologies to ensure data security and real-time performance.

[1285] 3. Server means

[1286] The server is a central processing unit that processes received customer information and generates optimal suggestions and responses. The server includes data processing, an AI engine, and an emotion engine, and retrieves necessary information by comparing it with the customer database. Furthermore, it recognizes the user's emotional state, reflects this in the analysis results, and generates suggestions and responses in real time.

[1287] 4. Emotional Engine

[1288] The emotion engine has the function of analyzing the user's emotional state obtained from user interface means and voice input means. This allows the AI ​​engine to identify the emotional state based on the text and voice data entered by the user, and then generate more appropriate suggestions and responses based on that.

[1289] Hardware and software to be used

[1290] Hardware: Smartphones, head-mounted displays (HMDs)

[1291] Software: Flask (Web application framework), Emotion Analysis library (emotion analysis), Product Recommendation library (product recommendation), data communication in JSON format.

[1292] Data processing and data calculation workflow

[1293] 1. Login: Users access the login screen via an application on their smartphone or HMD, enter their username and password, and authenticate.

[1294] 2. Entering and submitting customer information: After logging in, users enter questions and requests in voice or text format. This information is converted to JSON format and sent to the server.

[1295] 3. Sentiment Analysis: The server analyzes the received text data using an emotion analysis library to identify emotional states such as "joy" and "sadness."

[1296] 4. Product Recommendations: The product recommendation library generates optimal products and promotions by considering age, interest categories, and emotional state.

[1297] 5. Response Generation: Generates suggestions and answers in JSON format and sends them to the terminal device in real time. The results are displayed on the user interface.

[1298] Example: Example of a prompt message

[1299] "A customer in their 30s is looking for home appliances. Their area of ​​interest is the latest televisions. Currently, the customer is very happy. Please provide the best recommendation."

[1300] This will enable a system that automatically generates personalized suggestions and responses that take into account the user's emotional state based on the information provided by the user, and delivers them quickly to the user.

[1301] The flow of a specific process in Application Example 2 will be explained using Figure 14.

[1302] Step 1:

[1303] The user accesses the login screen via an application on their smartphone or HMD and authenticates by entering their username and password. The entered data (username and password) is sent to the server via the device. The server performs the authentication process and verifies that the entered username and password match existing information in the database. If authentication is successful, the server generates a login success response and sends it back to the device. If authentication fails, an error message is sent back to the device.

[1304] input:

[1305] Username

[1306] password

[1307] output:

[1308] Authentication success response or error message

[1309] Specific actions:

[1310] The user enters their username and password on the login screen.

[1311] The device sends the username and password to the server.

[1312] The server performs authentication and sends the result back to the terminal.

[1313] Step 2:

[1314] After logging in, users enter their age, product categories of interest, questions, and other customer information on a customer information input screen. The entered customer information is sent to the server via the terminal. The server converts this information into JSON format and prepares it for analysis.

[1315] input:

[1316] age

[1317] Product categories of interest

[1318] Question content

[1319] output:

[1320] Customer information in JSON format

[1321] Specific actions:

[1322] The user enters information on the customer information input screen.

[1323] The terminal converts the entered information into JSON format and sends it to the server.

[1324] Step 3:

[1325] The server performs sentiment analysis based on the received customer information (data in JSON format). It analyzes the entered questions and text information, and uses a sentiment analysis library to identify the customer's emotional state (e.g., "joy," "sadness," "anger"). This analysis result is then used by the AI ​​engine to generate optimal suggestions and responses.

[1326] input:

[1327] Customer information in JSON format

[1328] output:

[1329] Customer's emotional state (e.g., "joy," "sadness," etc.)

[1330] Specific actions:

[1331] The server uses an emotion analysis library to analyze text information and identify emotional states.

[1332] Step 4:

[1333] The server uses an AI engine to generate optimal suggestions and responses based on input information such as emotional state, age, and product categories of interest. The AI ​​engine refers to the customer database and historical data to select the most suitable products and promotional information that match the criteria. This suggested and responded information is then generated again in JSON format.

[1334] input:

[1335] age

[1336] Product categories of interest

[1337] Emotional state

[1338] output:

[1339] Best suggestions and answers (in JSON format)

[1340] Specific actions:

[1341] The server uses an AI engine to generate optimal suggestions and answers based on the input information.

[1342] The server converts the generated suggestions and responses into JSON format.

[1343] Step 5:

[1344] The generated suggestions and responses (data in JSON format) are sent from the server to the terminal. The terminal parses the received data and displays it to the user using a user interface. The displayed content may include special offers and support information tailored to the customer's emotional state.

[1345] input:

[1346] Best suggestions and answers (in JSON format)

[1347] output:

[1348] Display of suggestions and answers

[1349] Specific actions:

[1350] The server sends the generated suggestions and responses to the terminal.

[1351] The terminal analyzes the received data and displays it to the user using a user interface.

[1352] 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.

[1353] 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.

[1354] 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.

[1355] [Fourth Embodiment]

[1356] Figure 7 shows an example of the configuration of the data processing system 410 according to the fourth embodiment.

[1357] 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.

[1358] 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).

[1359] 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.

[1360] 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.

[1361] 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).

[1362] 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.

[1363] 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.

[1364] 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.

[1365] 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.

[1366] 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.

[1367] 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.

[1368] 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".

[1369] This invention relates to a system that inputs and transmits customer information in real time, analyzes that information, and provides optimal suggestions and responses. This system includes a user interface, terminals, and a server, and each element works in conjunction with the others to enable a rapid and appropriate response to customer needs.

[1370] User interface means

[1371] The user interface provides an interface for users to input customer information. This interface includes a login screen, a customer information input screen, and a screen for displaying suggestions and responses. Users can log in to the system using the login authentication means and then operate the screens for inputting customer information.

[1372] Specific example:

[1373] The user enters their username and password on the login screen and clicks the "Login" button. Once the login is authenticated, they are then taken to the customer information input screen where they enter information such as "customer's age" and "product categories of interest."

[1374] Terminal means

[1375] The terminal device transmits customer information entered through the user interface to the server and receives responses from the server, which are then displayed on the user interface. The terminal device uses appropriate communication protocols and encryption technologies to ensure data security and real-time performance.

[1376] Specific example:

[1377] The device receives information from the user, such as "customer in their 30s" and "product categories of interest: home appliances," converts it into JSON format, and sends it to the server.

[1378] Server Means

[1379] The server is a central processing unit that processes received customer information and generates optimal suggestions and responses. The server is equipped with data processing capabilities, which retrieve necessary information by comparing it with the customer database. It also uses an AI engine to analyze past data and statistics, generating appropriate suggestions and responses in real time. These generated suggestions and responses are then sent back to the terminal.

[1380] Specific example:

[1381] Based on the information received by the server, such as "customer in their 30s" and "product category of interest: home appliances," the server analyzes similar past cases, generates a "discount campaign for a specific home appliance," and sends it to the terminal.

[1382] Circular process

[1383] The process in which the user operates a terminal to input and transmit customer information, and then the server generates suggestions and responses based on that information and displays them again on the user interface via the terminal, operates in real time and cyclically. In this way, the user can respond immediately to the individual needs of the customer.

[1384] Specific example:

[1385] The terminal receives a message about a "special campaign for home appliances targeting customers in their 30s" and displays it on the user interface. The user then uses this information to make suggestions to customers.

[1386] This system enables efficient customer service by allowing for the collection, analysis, and recommendation of customer information in a consistent, real-time process.

[1387] The following describes the processing flow.

[1388] Step 1:

[1389] The user enters their username and password on the device's login screen and presses the "Login" button.

[1390] Step 2:

[1391] The terminal sends the entered username and password to the server.

[1392] Step 3:

[1393] The server compares the received username and password with the user information in the database to perform authentication.

[1394] Step 4:

[1395] If the server successfully authenticates, it generates an access token and sends it to the device.

[1396] Step 5:

[1397] The device receives an access token and redirects the user to the customer information input screen.

[1398] Step 6:

[1399] The user enters information such as "age" and "product categories of interest" on the customer information input screen and presses the "Submit" button.

[1400] Step 7:

[1401] The terminal converts the entered customer information into JSON format, encrypts it, and sends it to the server.

[1402] Step 8:

[1403] The server compares the received customer information with a database and uses an AI engine to generate optimal suggestions and responses.

[1404] Step 9:

[1405] The server converts the generated suggestions and responses into JSON format and sends them to the terminal.

[1406] Step 10:

[1407] The terminal analyzes suggestions and responses received from the server and displays them on the user interface.

[1408] Step 11:

[1409] The user responds to the customer based on the displayed suggestions and answers, and repeats the process by entering additional information as needed.

[1410] In this way, terminals, servers, and users work together to enable real-time, rapid, and appropriate customer service.

[1411] (Example 1)

[1412] 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".

[1413] Traditional customer information management systems have made efficient responses difficult because the process from customer information input to analysis and proposal generation is not performed in a real-time, cyclical manner. In particular, in order to respond to customer needs quickly and appropriately, it is necessary for information collection, analysis, and proposals to be performed seamlessly. Furthermore, ensuring information security and advanced analytical capabilities using AI models are also essential.

[1414] 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.

[1415] In this invention, the server includes a user interface means for inputting customer information, a terminal means for transmitting the customer information to the server for processing, a server means equipped with an AI engine that generates optimal suggestions and answers based on the received customer information, a server means for transmitting the generated suggestions and answers to the terminal, a terminal means for displaying the suggestions and answers on the user interface, and a system that operates cyclically to collect, analyze, and suggest customer information in real time. This enables the collection, analysis, and suggestion of customer information to be performed in real time as an integrated process, making it possible to respond quickly and appropriately to customer needs.

[1416] A "user interface means" refers to a means of providing an interface for users to input customer information and receive suggestions and responses.

[1417] "Terminal means" refers to means that transmit customer information entered from the user interface means to a server, receive a response from the server, and display it on the user interface means.

[1418] A "server means" is a central processing unit that receives, analyzes, and generates suggestions for customer information, and is equipped with an AI engine and data processing means.

[1419] An "AI engine" is an artificial intelligence (AI) computational model that analyzes past data and statistics based on received customer information to generate optimal suggestions and responses.

[1420] A "customer database" is a data storage system that stores customer information and provides necessary information in response to queries from a server.

[1421] JSON format is a standard format for representing data in a text-based format, and is primarily used for sending and receiving data.

[1422] SSL / TLS is a protocol that enables the encryption and secure transfer of data transmitted over the internet.

[1423] A "prompt sentence" is an instruction sentence to be input into a generative AI model, and it is a sentence that acts as a trigger to generate the optimal suggestion or answer based on specific conditions.

[1424] A "cyclical process" refers to a process in which customer information is collected, analyzed, proposals are generated, and displayed, all in real time and in a continuous manner.

[1425] This invention relates to a system that inputs and transmits customer information in real time, analyzes that information, and provides optimal suggestions and responses. This system includes a user interface, terminals, and a server, and each element works in conjunction with the others to enable a rapid and appropriate response to customer needs.

[1426] User interface means

[1427] Users access the system through a user interface. This interface includes a login screen, a customer information input screen, and a screen for displaying suggestions and responses. When a user enters their username and password on the login screen and presses the "Login" button, their login is authenticated, and they can proceed to the customer information input screen. Next, the user enters information such as "customer age" and "product categories of interest," and presses the submit button, sending the information to the terminal.

[1428] Terminal means

[1429] The terminal device transmits customer information entered through the user interface to the server and receives responses from the server, which are then displayed on the user interface. This terminal device uses HTTP or HTTPS as its communication protocol, and data encryption is performed using SSL / TLS. Information entered by the user is converted to JSON format and sent to the server. Responses received from the server are also in JSON format, which the terminal device parses and displays on the user interface.

[1430] Specific example: A user inputs information such as "customer in their 30s" and "product category of interest: home appliances," which is then converted to JSON format and sent to the server.

[1431] Server Means

[1432] The server is a central processing unit that analyzes received customer information and generates optimal suggestions and responses. This server is equipped with data processing capabilities, which retrieve necessary information by comparing it with a customer database. It also uses an AI engine to analyze historical data and statistics to generate appropriate suggestions and responses in real time. These generated suggestions and responses are then transmitted back to the terminal.

[1433] Specific example: Based on the information received by the server, such as "customer in their 30s" and "product category of interest: home appliances," the server analyzes similar past cases, generates a "discount campaign for a specific home appliance," and sends it to the terminal.

[1434] Circular process

[1435] The process of a user operating a terminal to input and transmit customer information, and then the server generating suggestions and responses based on that information and displaying them again on the user interface via the terminal, operates in real time and in a cyclical manner. This allows users to respond immediately to the individual needs of their customers.

[1436] Specific example: The terminal receives a notification about a "special campaign for home appliances targeting customers in their 30s" and displays this information on the user interface. The user can then make suggestions to the customer based on this information. Because information is collected, analyzed, and suggestions are made in real time, efficient customer service is achieved.

[1437] Example of a prompt

[1438] An example of a prompt to input into the generation AI model would be: "Create the best suggestion for a customer in their 30s whose product category of interest is home appliances."

[1439] These methods enable the system to achieve a consistent process of collecting, analyzing, and proposing customer information in real time, allowing for efficient customer service.

[1440] The flow of the specific processing in Example 1 will be explained using Figure 11.

[1441] Step 1: User Login

[1442] The user enters their username and password on the login screen. Then, when the user clicks the "Login" button, an authentication request is sent to the server.

[1443] Enter: Username and password

[1444] Data processing: Encrypt the username and password and send them to the server as an authentication request.

[1445] Output: Authentication result (success or failure)

[1446] Specific actions:

[1447] The server compares the received authentication information with the database and generates an authentication result.

[1448] The server sends the authentication result to the terminal.

[1449] The device displays the authentication result on the user interface.

[1450] Step 2: Enter customer information

[1451] After logging in, the user accesses the customer information input screen and enters information such as "customer's age" and "product categories of interest." Then, they press the "Submit" button.

[1452] Input: Customer's age, product categories of interest

[1453] Data processing: The input information is compiled into a single dataset and prepared for transmission to the server in the next step.

[1454] Output: Customer information dataset

[1455] Specific actions:

[1456] The user enters customer information into the input field.

[1457] The terminal collects the input information and combines it into a single dataset.

[1458] Step 3: Submit customer information

[1459] The terminal converts the customer information dataset collected from the user interface into JSON format, encrypts it using SSL / TLS, and sends it to the server.

[1460] Input: Dataset in customer information

[1461] Data processing: Convert the dataset to JSON format and encrypt it using SSL / TLS.

[1462] Output: Encrypted JSON data

[1463] Specific actions:

[1464] The terminal converts the customer information dataset into JSON format.

[1465] The terminal encrypts the converted JSON data using SSL / TLS.

[1466] Encrypted data is sent to the server.

[1467] Step 4: Analyzing customer information

[1468] The server parses and analyzes the customer information it receives. This analysis includes matching the data against the customer database and performing data analysis using an AI engine.

[1469] Input: Encrypted JSON data

[1470] Data processing: Parse JSON data and compare it with customer data. Furthermore, analyze historical data using an AI engine.

[1471] Output: Suggestions and answers based on the analysis results

[1472] Specific actions:

[1473] The server receives encrypted data and decrypts it.

[1474] The server parses the decrypted JSON data and extracts the necessary customer information.

[1475] The server cross-references the customer database and performs analysis using an AI engine.

[1476] Step 5: Generating proposals and responses

[1477] The server generates optimal suggestions and answers based on the analysis results, converts them to JSON format, and sends them to the terminal.

[1478] Input: Analysis results

[1479] Data processing: Generate suggestions and answers based on the analysis results and convert them to JSON format.

[1480] Output: JSON data of proposals and responses

[1481] Specific actions:

[1482] The server generates suggestions and answers based on the analysis results of the AI ​​engine.

[1483] The server converts the generated suggestions and responses into JSON format.

[1484] The server sends JSON data containing suggestions and responses to the terminal.

[1485] Step 6: Displaying suggestions and responses

[1486] The terminal displays suggestions and responses received from the server on the user interface.

[1487] Input: JSON data of suggestions and responses

[1488] Data processing: Parse JSON data and convert it into a format that can be displayed as suggestions or answers.

[1489] Output: Suggestions and answers displayed in the user interface

[1490] Specific actions:

[1491] The terminal parses the JSON data received from the server.

[1492] The device converts the suggested and response information into a format that can be displayed on the user interface.

[1493] The device displays suggestions and answers in the user interface.

[1494] Step 7: Circular Process

[1495] The process involves the user operating a terminal to input and submit customer information, and then the server generating suggestions and responses based on that information, which are then displayed on the user interface via the terminal. This process is repeated in real time and operates cyclically.

[1496] Input: New customer information

[1497] Data processing: The process involves repeatedly collecting, transmitting, analyzing, generating suggestions, and displaying new customer information.

[1498] Output: Latest suggestions and answers

[1499] Specific actions:

[1500] The user enters new customer information.

[1501] The device sends new information to the server.

[1502] The server analyzes the data, generates new suggestions or answers, and sends them to the terminal.

[1503] The device displays suggestions and answers in the user interface.

[1504] (Application Example 1)

[1505] 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".

[1506] Traditional content distribution services have struggled to suggest appropriate video content based on users' viewing history and preferences. This has resulted in an inability to effectively provide content that users are interested in, leading to decreased viewer satisfaction and reduced service usage.

[1507] 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.

[1508] In this invention, the server includes means for an AI engine that generates optimal suggestions and responses based on received customer information, data analysis means based on a generation AI model using prompt sentences, and data processing means for analyzing data by comparing it with a customer database. This enables real-time suggestions of optimal video content based on the user's viewing history and categories of interest.

[1509] "Customer information" refers to data about a user's viewing history and categories of interest.

[1510] A "user interface means" is a means of providing an interface for a user to input information and interact with the system.

[1511] "Terminal means" refers to devices or systems that have the role of sending and receiving data from the user interface means to the server.

[1512] A "server system" refers to a central processing unit that processes received data and generates optimal suggestions or responses.

[1513] An "AI engine" is a program or algorithm that uses artificial intelligence technology to analyze data and generate optimal suggestions or answers.

[1514] A "prompt message" is text information input into a generative AI model, specifically indicating instructions for analysis and generation.

[1515] A "generative AI model" is an algorithm that uses machine learning techniques to analyze past data and statistics to generate optimal suggestions or answers.

[1516] "Data analysis means" refers to the technology used by a server to process received data and generate optimal suggestions or answers.

[1517] A "customer database" is a database where data about customers is collected and used for analysis.

[1518] This invention relates to a system that inputs and transmits customer information in real time, analyzes that information, and proposes optimal video content. The system consists of a user interface, a terminal, and a server.

[1519] User interface means

[1520] It provides an interface for users to log in and enter their viewing history and categories of interest. After login authentication, users can enter information about their viewing history and categories of interest.

[1521] Specific example

[1522] The user enters their "username" and "password" on the login screen and clicks the "Login" button. Once the login is authenticated, the user is then taken to the user viewing history input screen, where they enter information such as "Recently watched videos: Action movies" and "Categories of interest: Horror, Science Fiction."

[1523] Terminal means

[1524] The terminal device is responsible for transmitting customer information entered through the user interface to the server, receiving responses from the server, and displaying them on the user interface. The terminal device ensures data security and real-time performance using appropriate communication protocols and encryption technologies.

[1525] Hardware and software to be used

[1526] JSON: Data format

[1527] HTTPS: Communication protocol

[1528] AES encryption: Data encryption technology

[1529] Server Means

[1530] The server is a central processing unit that processes received customer information and generates optimal suggestions and responses. The server includes data processing means for analyzing data by comparing it with a customer database, and data analysis means based on a generation AI model using prompt statements, generating appropriate video content suggestions in real time.

[1531] Hardware and software to be used

[1532] MongoDB: Database Management System

[1533] TensorFlow and PyTorch: AI Engines

[1534] The server generates suggestions based on the user's viewing history and categories of interest, and sends them to the device. These generated suggestions are then sent back to the device and displayed in the user interface.

[1535] Specific example

[1536] 1. The server analyzes the information received, such as "Recently watched videos: Action movies" and "Categories of interest: Horror, Science Fiction," and suggests "Specific horror movies or science fiction movies."

[1537] 2. Received suggestions are displayed on the user interface via the device, and the user views the content based on that information.

[1538] Example of a prompt

[1539] 1. "Recently watched video: Action movie"

[1540] 2. "Categories of interest: Horror, Science Fiction"

[1541] In this way, users can utilize a system that suggests optimal video content in real time based on their viewing history and preferences.

[1542] The flow of a specific process in Application Example 1 will be explained using Figure 12.

[1543] Step 1:

[1544] The user enters their authentication information on the login screen.

[1545] Specific operation: The user enters their "username" and "password" and presses the "Login" button. The entered authentication information is sent to the server via the terminal device.

[1546] Input: Username, Password

[1547] Output: Authentication result

[1548] Step 2:

[1549] The server authenticates the user's login information.

[1550] Specific operation: The server compares the received username and password with the database and generates an authentication result. If authentication is successful, it starts a session and returns the authentication result to the terminal.

[1551] Input: Username, Password

[1552] Output: Authentication result (success / failure)

[1553] Step 3:

[1554] The device displays the authentication result on the user interface.

[1555] Specific operation: The terminal displays the authentication result received from the server. If authentication is successful, it proceeds to the next customer information input screen. If authentication fails, an error message is displayed.

[1556] Input: Authentication result

[1557] Output: Customer information input screen or error message

[1558] Step 4:

[1559] The user enters their viewing history and categories of interest on a customer information input screen.

[1560] Specific operation: The user enters information such as "recently watched videos" and "categories of interest," and presses the "Submit" button. The entered information is sent to the server via the terminal.

[1561] Input: Viewing history, categories of interest

[1562] Output: Customer information data in JSON format

[1563] Step 5:

[1564] The server analyzes the customer information it receives.

[1565] Specific operation: The server stores the received customer information in a database and performs analysis using a generated AI model. Specifically, it identifies the most suitable video content by comparing it with similar past data based on viewing history and categories of interest.

[1566] Input: Customer information data in JSON format

[1567] Output: Suggestions for optimal video content

[1568] Step 6:

[1569] The server sends the terminal with the most suitable video content suggestions it has generated.

[1570] Specific operation: The server converts the optimal video content suggestions generated as a result of the analysis into JSON format and sends them to the terminal via a secure protocol (HTTPS).

[1571] Input: Suggestion of optimal video content

[1572] Output: Video content proposal data in JSON format

[1573] Step 7:

[1574] The device displays video content suggestions it has received on the user interface.

[1575] Specific operation: The terminal displays video content suggestions received from the server on the user interface, making them available for viewing by the user. The user can then click on the displayed content to watch it.

[1576] Input: Video content proposal data in JSON format

[1577] Output: Video content suggestion display on the user interface

[1578] In this way, users can utilize a system that suggests optimal video content in real time based on their viewing history and preferences.

[1579] 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.

[1580] This invention relates to a system that inputs and transmits customer information in real time, analyzes that information, and provides optimal suggestions and responses. This system includes a user interface, terminals, a server, and an emotion engine provided within the server, and each element works in conjunction with the others to respond quickly and appropriately to customer needs.

[1581] User interface means

[1582] The user interface provides an interface for users to input customer information. This interface includes a login screen, a customer information input screen, and a screen for displaying suggestions and responses. Users can log in to the system using the login authentication means and then operate the screens for inputting customer information.

[1583] Specific example:

[1584] The user enters their username and password on the login screen and clicks the "Login" button. Upon successful authentication, they are redirected to the customer information input screen where they enter information such as "customer's age" and "product categories of interest."

[1585] Terminal means

[1586] The terminal device transmits customer information entered through the user interface to the server and receives responses from the server, which are then displayed on the user interface. The terminal device uses appropriate communication protocols and encryption technologies to ensure data security and real-time performance.

[1587] Specific example:

[1588] The device receives information from the user, such as "customer in their 30s" and "product categories of interest: home appliances," converts it into JSON format, and sends it to the server.

[1589] Server Means

[1590] The server is a central processing unit that processes received customer information and generates optimal suggestions and responses. The server is equipped with data processing means and retrieves necessary information by comparing it with the customer database. It also uses an AI engine to analyze past data and statistics and generates appropriate suggestions and responses in real time. These generated suggestions and responses are then transmitted back to the terminal. Furthermore, the present invention incorporates an emotion engine that recognizes the user's emotional state and reflects it in the analysis results.

[1591] Emotional Engine

[1592] The emotion engine is designed to analyze the user's emotional state obtained from user interface and voice input methods. This allows the AI ​​engine to identify the emotional state based on the text and voice data entered by the user, and then generate more appropriate suggestions and responses based on that information.

[1593] Specific example:

[1594] The server receives user input data, and the emotion engine analyzes emotional states such as "joy," "anger," and "sadness." Based on this information, it generates "promotional information" for "happy customers" and suggestions for "prompt customer support" for "dissatisfied customers."

[1595] Circular process

[1596] The process in which a user operates a terminal to input and transmit customer information, and then the server generates suggestions and responses based on that information and displays them back on the user interface via the terminal, operates in a real-time, cyclical manner. By adding an emotion engine to this cycle, sophisticated suggestions that reflect the user's emotional state are realized.

[1597] Specific example:

[1598] The device receives a "special campaign on home appliances for customers in their 30s" and displays it in the user interface. Furthermore, if the user is "happy," even more special offers can be displayed, increasing satisfaction.

[1599] This system enables efficient and highly accurate customer service by collecting, analyzing, and recommending customer information in a consistent, real-time process, and by taking into account the user's emotional state.

[1600] The following describes the processing flow.

[1601] Step 1:

[1602] The user enters their username and password on the device's login screen and presses the "Login" button.

[1603] Step 2:

[1604] The terminal sends the entered username and password to the server.

[1605] Step 3:

[1606] The server compares the received username and password with the user information in the database to perform authentication.

[1607] Step 4:

[1608] If the server successfully authenticates, it generates an access token and sends it to the device.

[1609] Step 5:

[1610] The device receives an access token and redirects the user to the customer information input screen.

[1611] Step 6:

[1612] The user enters information such as "age" and "product categories of interest" on the customer information input screen and presses the "Submit" button.

[1613] Step 7:

[1614] The terminal converts the entered customer information into JSON format, encrypts it, and sends it to the server.

[1615] Step 8:

[1616] The server compares the received customer information with a database and uses an AI engine to generate optimal suggestions and responses.

[1617] Step 9:

[1618] While the server is analyzing customer information, the emotion engine retrieves input text and audio data to analyze the user's emotions.

[1619] Step 10:

[1620] The emotion engine analyzes emotional data and sends it to the AI ​​engine to generate more appropriate suggestions and responses.

[1621] Step 11:

[1622] The server converts the suggestions and answers generated by the AI ​​engine into JSON format and sends them to the terminal.

[1623] Step 12:

[1624] The terminal analyzes suggestions and responses received from the server and displays them on the user interface.

[1625] Step 13:

[1626] The user responds to the customer based on the displayed suggestions and answers, and repeats the process by entering additional information as needed.

[1627] Specific example:

[1628] When a user proposes a "special campaign on home appliances" to a "customer in their 30s," if the customer is pleased, additional special offers will be displayed. In this way, appropriate suggestions can be made in real time and taking into account the customer's emotional state.

[1629] (Example 2)

[1630] 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".

[1631] Traditional customer service systems were unable to collect and analyze customer information in real time, and it was difficult to provide sophisticated suggestions that took into account the customer's emotional state. Furthermore, user authentication processes were often insufficiently secure, raising concerns about data reliability and security.

[1632] The identification processing performed 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 an artificial intelligence engine means for generating optimal suggestions and answers based on received customer information, an emotion analysis engine means for analyzing the user's emotional state, and a data processing means for analyzing data by comparing it with a customer database. This enables not only real-time collection, analysis, and generation of customer information, but also sophisticated suggestions that take into account the user's emotional state.

[1633] "Interface means" refers to screens or devices that allow users to input customer information and interact with the system.

[1634] A "terminal device" is a device that transmits customer information entered through an interface device to a server, receives a response from the server, and displays it on the interface.

[1635] A "server system" is a central processing unit that processes and analyzes received customer information and generates optimal suggestions and responses.

[1636] An "artificial intelligence engine" is a program that includes artificial intelligence algorithms to generate optimal suggestions and responses based on customer information.

[1637] A "sentiment analysis engine" is a program that includes an algorithm to identify the user's emotional state from their input data (text or voice) and reflect the analysis results in suggestions and responses.

[1638] A "data processing tool" is a program that analyzes data by comparing it with a customer database and obtains the necessary information.

[1639] An "authentication method" is a program that has the functionality to verify authentication information, such as a username and password, that a user uses to securely access a system.

[1640] This invention relates to a system that inputs and transmits customer information in real time, analyzes that information, and provides optimal suggestions and responses. This system includes interface means, terminal means, server means, and an emotion analysis engine provided within the server means, and each element works in cooperation with the others to respond quickly and appropriately to customer needs.

[1641] Interface means

[1642] The interface provides an interface for users to input customer information. This interface includes a login screen, a customer information input screen, and a screen for displaying suggestions and responses. Users can log in to the system using authentication means and then operate the screens for inputting customer information.

[1643] Specific example:

[1644] The user enters their "username" and "password" on the login screen and clicks the "Login" button. Upon successful authentication, they are redirected to the customer information input screen where they enter information such as "customer's age" and "product categories of interest."

[1645] Terminal means

[1646] The terminal device transmits customer information entered through the interface device to the server and receives responses from the server, which are then displayed on the interface. The terminal device uses appropriate communication protocols and encryption technologies to ensure data security and real-time performance.

[1647] Specific example:

[1648] The device receives information from the user, such as "customer age 35" and "product categories of interest: home appliances," converts it into JSON format, and sends it to the server.

[1649] Server Means

[1650] The server is a central processing unit that processes received customer information and generates optimal suggestions and responses. The server is equipped with data processing capabilities, which retrieve necessary information by cross-referencing it with the customer database. It also uses an AI engine to analyze past data and statistics, generating appropriate suggestions and responses in real time. These generated suggestions and responses are then sent back to the terminal. Furthermore, the server incorporates an emotion analysis engine that recognizes the user's emotional state and reflects it in the analysis results.

[1651] Specific example:

[1652] The server receives user input data, and the emotion analysis engine analyzes emotional states such as "joy," "anger," and "sadness." Based on this information, it generates "promotional information" for "happy customers" and suggestions for "prompt customer support" for "dissatisfied customers."

[1653] Emotion analysis engine

[1654] The emotion analysis engine is designed to analyze the user's emotional state obtained from interface and voice input methods. This allows the AI ​​engine to identify the emotional state based on the text and voice data entered by the user, and then generate more appropriate suggestions and responses based on that information.

[1655] Specific example:

[1656] If the emotion analysis engine detects "joy," the server generates a "special promotional offer" for the "joyful customer" and sends it to the terminal.

[1657] Circular process

[1658] The process in which a user operates a terminal to input and submit customer information, and then the server generates suggestions and responses based on that information and displays them back on the interface via the terminal, operates in real time and cyclically. By adding an emotion analysis engine to this cycle, sophisticated suggestions that reflect the user's emotional state are realized.

[1659] Specific example:

[1660] The device receives a "Special Home Appliance Campaign for Customers Aged 35" and displays it on the interface. Furthermore, if the user is "happy," even more special offers can be displayed, increasing their satisfaction.

[1661] Example of a prompt

[1662] The following are examples of prompts for a generative AI model.

[1663] "We have a 35-year-old customer who is interested in home appliances. Please generate a special promotional offer for this enthusiastic customer."

[1664] This system not only allows for the collection, analysis, and recommendation of customer information in real time, efficiently and with high accuracy, but also enables more sophisticated customer service by taking into account the user's emotional state.

[1665] The flow of the specific processing in Example 2 will be explained using Figure 13.

[1666] Step 1:

[1667] The user enters their username and password on the login screen and presses the "Login" button. The entered authentication information is sent from the device to the server. The server compares the received authentication information with the database, and if authentication is successful, it returns an authentication success message and a URL to the next screen to the user.

[1668] input:

[1669] Username, password

[1670] output:

[1671] Authentication success message, URL for the next screen

[1672] Specific actions:

[1673] The user enters "Username: yamada" and "Password: 1234" and presses the login button. The server returns a "Authentication successful" message and a URL for the next screen.

[1674] Step 2:

[1675] The user is directed to a customer information input screen and enters the required information (e.g., customer's age, product categories of interest). The entered data is converted to JSON format by the terminal and sent to the server using a secure communication protocol.

[1676] input:

[1677] Customer age, product categories of interest

[1678] output:

[1679] Customer information in JSON format

[1680] Specific actions:

[1681] The user enters "Age: 35" and "Product Category of Interest: Home Appliances" and presses the submit button. The device generates data {"age": 35, "category": "Home Appliances"} and sends it to the server.

[1682] Step 3:

[1683] The server receives customer information sent from the terminal and compares that data with the database. Next, it runs the sentiment analysis engine to analyze the user's emotional state.

[1684] input:

[1685] Customer information in JSON format

[1686] output:

[1687] Customer's emotional state (e.g., joy, anger)

[1688] Specific actions:

[1689] The server receives data with the values ​​{"age": 35, "category": "home appliances"}, retrieves the relevant information from the database, and uses an emotion analysis engine to detect "joy".

[1690] Step 4:

[1691] The server uses an AI engine to generate optimal suggestions and responses based on the acquired customer data and emotional state. The generated suggestions and responses are then converted back into JSON format and sent to the terminal.

[1692] input:

[1693] Customer emotional state, customer data

[1694] output:

[1695] Suggestions and answers in JSON format

[1696] Specific actions:

[1697] The server generates a "special home appliance promotion offer" and sends it to the terminal as data for {"promotion": "special home appliance promotion offer"}.

[1698] Step 5:

[1699] The terminal displays received suggestions and responses in the user interface. Users can input new information or questions, and a similar process is repeated cyclically in real time.

[1700] input:

[1701] Suggestions and answers in JSON format

[1702] output:

[1703] Suggestions and answers displayed on the interface

[1704] Specific actions:

[1705] The terminal displays the received "Special Home Appliance Promotion Offer" on its interface, the user enters "I would like more information," and presses the send button again.

[1706] Specific example

[1707] Example of a prompt:

[1708] "We have a 35-year-old customer who is interested in home appliances. Please generate a special promotional offer for this enthusiastic customer."

[1709] This series of processes enables the collection, analysis, and generation of customer information in real time, efficiently and with high accuracy. Furthermore, by considering the user's emotional state, more appropriate and sophisticated customer service is achieved.

[1710] (Application Example 2)

[1711] 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".

[1712] In modern customer service, it is essential to provide appropriate suggestions and answers in real time, taking into account the customer's emotional state. However, conventional systems are time-consuming to input and analyze customer information, and it is difficult to generate suggestions that reflect the customer's emotional state. Therefore, to improve customer satisfaction and achieve efficient service, an advanced system that includes sentiment analysis is necessary.

[1713] 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.

[1714] In this invention, the server includes terminal means for transmitting customer information to the server for processing, server means equipped with an AI engine that generates optimal suggestions and answers based on the received customer information, server means for transmitting the generated suggestions and answers to the terminal, server means equipped with an emotion engine that analyzes the user's emotional state based on data acquired from a user interface means or voice input means, and server means equipped with an AI engine for generating optimal suggestions and answers that take the emotional state into consideration. This makes it possible to analyze the customer's emotional state in real time and immediately provide optimal suggestions and answers based on that analysis.

[1715] "Customer information" refers to information necessary for optimizing the service, such as the user's age, product categories of interest, and the content of their questions, which are entered or provided by the user.

[1716] A "user interface" is an interface through which a user accesses a system, inputs information, and receives suggestions and responses.

[1717] A "terminal device" is a communication device that transmits customer information to a server, receives a response from the server, and displays it on the user interface.

[1718] A "server system" is a central processing unit that analyzes customer information and generates and sends optimal suggestions and responses.

[1719] An "AI engine" is an algorithm that uses machine learning to generate optimal suggestions and responses based on the customer information it receives.

[1720] An "emotion engine" is an algorithm that analyzes a user's emotional state based on data obtained from a user interface or voice input method.

[1721] "Real-time analysis" is a process that instantly processes entered customer information and emotional states, and outputs results immediately.

[1722] "Optimal suggestions and answers" refer to providing information that is considered most beneficial to the user, based on analyzed customer data and emotional states.

[1723] A "data processing means" is a system component that has the function of analyzing data by comparing it with a customer database.

[1724] A "login authentication method" is a function that provides an authentication process for users to securely access a system.

[1725] This invention relates to a system that inputs and transmits customer information in real time, analyzes that information, and provides optimal suggestions and responses. This system includes a user interface, terminals, a server, and an emotion engine, and each element works in conjunction with the others to respond quickly and appropriately to customer needs.

[1726] 1. User Interface Means

[1727] The user interface provides an interface for users to input customer information. This includes a login screen, a customer information input screen, and a screen for displaying suggestions and responses. Users can log in to the system using the login authentication means and then operate the screens for inputting customer information.

[1728] 2. Terminal means

[1729] The terminal device transmits customer information entered through the user interface to the server and receives responses from the server, which are then displayed on the user interface. The terminal device uses appropriate communication protocols and encryption technologies to ensure data security and real-time performance.

[1730] 3. Server means

[1731] The server is a central processing unit that processes received customer information and generates optimal suggestions and responses. The server includes data processing, an AI engine, and an emotion engine, and retrieves necessary information by comparing it with the customer database. Furthermore, it recognizes the user's emotional state, reflects this in the analysis results, and generates suggestions and responses in real time.

[1732] 4. Emotional Engine

[1733] The emotion engine has the function of analyzing the user's emotional state obtained from user interface means and voice input means. This allows the AI ​​engine to identify the emotional state based on the text and voice data entered by the user, and then generate more appropriate suggestions and responses based on that.

[1734] Hardware and software to be used

[1735] Hardware: Smartphones, head-mounted displays (HMDs)

[1736] Software: Flask (Web application framework), Emotion Analysis library (emotion analysis), Product Recommendation library (product recommendation), data communication in JSON format.

[1737] Data processing and data calculation workflow

[1738] 1. Login: Users access the login screen via an application on their smartphone or HMD, enter their username and password, and authenticate.

[1739] 2. Entering and submitting customer information: After logging in, users enter questions and requests in voice or text format. This information is converted to JSON format and sent to the server.

[1740] 3. Sentiment Analysis: The server analyzes the received text data using an emotion analysis library to identify emotional states such as "joy" and "sadness."

[1741] 4. Product Recommendations: The product recommendation library generates optimal products and promotions by considering age, interest categories, and emotional state.

[1742] 5. Response Generation: Generates suggestions and answers in JSON format and sends them to the terminal device in real time. The results are displayed on the user interface.

[1743] Example: Example of a prompt message

[1744] "A customer in their 30s is looking for home appliances. Their area of ​​interest is the latest televisions. Currently, the customer is very happy. Please provide the best recommendation."

[1745] This will enable a system that automatically generates personalized suggestions and responses that take into account the user's emotional state based on the information provided by the user, and delivers them quickly to the user.

[1746] The flow of a specific process in Application Example 2 will be explained using Figure 14.

[1747] Step 1:

[1748] The user accesses the login screen via an application on their smartphone or HMD and authenticates by entering their username and password. The entered data (username and password) is sent to the server via the device. The server performs the authentication process and verifies that the entered username and password match existing information in the database. If authentication is successful, the server generates a login success response and sends it back to the device. If authentication fails, an error message is sent back to the device.

[1749] input:

[1750] Username

[1751] password

[1752] output:

[1753] Authentication success response or error message

[1754] Specific actions:

[1755] The user enters their username and password on the login screen.

[1756] The device sends the username and password to the server.

[1757] The server performs authentication and sends the result back to the terminal.

[1758] Step 2:

[1759] After logging in, users enter their age, product categories of interest, questions, and other customer information on a customer information input screen. The entered customer information is sent to the server via the terminal. The server converts this information into JSON format and prepares it for analysis.

[1760] input:

[1761] age

[1762] Product categories of interest

[1763] Question content

[1764] output:

[1765] Customer information in JSON format

[1766] Specific actions:

[1767] The user enters information on the customer information input screen.

[1768] The terminal converts the entered information into JSON format and sends it to the server.

[1769] Step 3:

[1770] The server performs sentiment analysis based on the received customer information (data in JSON format). It analyzes the entered questions and text information, and uses a sentiment analysis library to identify the customer's emotional state (e.g., "joy," "sadness," "anger"). This analysis result is then used by the AI ​​engine to generate optimal suggestions and responses.

[1771] input:

[1772] Customer information in JSON format

[1773] output:

[1774] Customer's emotional state (e.g., "joy," "sadness," etc.)

[1775] Specific actions:

[1776] The server uses an emotion analysis library to analyze text information and identify emotional states.

[1777] Step 4:

[1778] The server uses an AI engine to generate optimal suggestions and responses based on input information such as emotional state, age, and product categories of interest. The AI ​​engine refers to the customer database and historical data to select the most suitable products and promotional information that match the criteria. This suggested and responded information is then generated again in JSON format.

[1779] input:

[1780] age

[1781] Product categories of interest

[1782] Emotional state

[1783] output:

[1784] Best suggestions and answers (in JSON format)

[1785] Specific actions:

[1786] The server uses an AI engine to generate optimal suggestions and answers based on the input information.

[1787] The server converts the generated suggestions and responses into JSON format.

[1788] Step 5:

[1789] The generated suggestions and responses (data in JSON format) are sent from the server to the terminal. The terminal parses the received data and displays it to the user using a user interface. The displayed content may include special offers and support information tailored to the customer's emotional state.

[1790] input:

[1791] Best suggestions and answers (in JSON format)

[1792] output:

[1793] Display of suggestions and answers

[1794] Specific actions:

[1795] The server sends the generated suggestions and responses to the terminal.

[1796] The terminal analyzes the received data and displays it to the user using a user interface.

[1797] 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.

[1798] 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.

[1799] In the above embodiment, an example was given in which the specific processing is performed by the data processing device 12, but the technology of this disclosure is not limited thereto, and the specific processing may also be performed by the robot 414.

[1800] 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.

[1801] 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.

[1802] 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.

[1803] 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.

[1804] 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.

[1805] 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."

[1806] 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.

[1807] 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.

[1808] 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.

[1809] 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.

[1810] 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.

[1811] 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.

[1812] 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.

[1813] 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.

[1814] 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.

[1815] 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.

[1816] 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.

[1817] All documents, patent applications, and technical standards described herein are incorporated by reference to the same extent as if each individual document, patent application, and technical standard were specifically and individually noted to be incorporated by reference.

[1818] The following is further disclosed regarding the embodiments described above.

[1819] (Claim 1)

[1820] A user interface means for entering customer information,

[1821] A terminal means for transmitting the aforementioned customer information to a server for processing,

[1822] A server equipped with an AI engine that generates optimal suggestions and answers based on received customer information,

[1823] A server means that transmits the generated proposals and responses to the terminal,

[1824] A terminal means for displaying the aforementioned proposals and answers on a user interface,

[1825] A system that includes this.

[1826] (Claim 2)

[1827] The system according to claim 1, characterized in that the user interface means includes a login authentication means for the user.

[1828] (Claim 3)

[1829] The system according to claim 1, characterized in that the server means includes data processing means for analyzing data by comparing it with a customer database.

[1830] "Example 1"

[1831] (Claim 1)

[1832] A user interface means for entering customer information,

[1833] A terminal means for transmitting the aforementioned customer information to a server for processing,

[1834] A server equipped with an AI engine that generates optimal suggestions and answers based on received customer information,

[1835] A server means that transmits the generated proposals and responses to the terminal,

[1836] A terminal means for displaying the aforementioned proposals and answers on a user interface,

[1837] A system that operates cyclically to collect, analyze, and propose customer information in real time.

[1838] (Claim 2)

[1839] The system according to claim 1, characterized in that the user interface means includes a login authentication means for the user.

[1840] (Claim 3)

[1841] The system according to claim 1, characterized in that the terminal means converts customer information into JSON format and transmits it to the server using the SSL / TLS encryption protocol.

[1842] (Claim 4)

[1843] The system according to claim 1, characterized in that the server means sends a data query based on a user's request to a customer database, compares it with past data using an AI engine, and generates an analysis result.

[1844] (Claim 5)

[1845] The system according to claim 1, characterized in that the generated suggestions and answers are in a format that includes prompt statements, and these prompt statements are input to a generating AI model.

[1846] "Application Example 1"

[1847] (Claim 1)

[1848] A user interface means for entering customer information,

[1849] A terminal means for transmitting the aforementioned customer information to a server for processing,

[1850] A server equipped with an AI engine that generates optimal suggestions and answers based on received customer information,

[1851] A server means that transmits the generated proposals and responses to the terminal,

[1852] A terminal means for displaying the aforementioned proposals and answers on a user interface,

[1853] It features an interface for users to input their viewing history and categories of interest.

[1854] It suggests video content that is suitable for viewing trends in real time.

[1855] It includes a data analysis method based on a generative AI model using prompt sentences.

[1856] system.

[1857] (Claim 2)

[1858] The system according to claim 1, characterized in that the user interface means includes a login authentication means for the user.

[1859] (Claim 3)

[1860] The system according to claim 1, characterized in that the server means includes data processing means for analyzing data by comparing it with a customer database.

[1861] "Example 2 of combining an emotion engine"

[1862] (Claim 1)

[1863] An interface for entering customer information,

[1864] A terminal means for transmitting the aforementioned customer information to a server for processing,

[1865] A server equipped with an artificial intelligence engine that generates optimal suggestions and answers based on received customer information,

[1866] A server system equipped with an emotion analysis engine that analyzes the emotional state of the user,

[1867] A server means that transmits the generated proposals and responses to the terminal,

[1868] A terminal means for displaying the aforementioned proposals and answers on an interface,

[1869] A system that includes this.

[1870] (Claim 2)

[1871] The system according to claim 1, characterized in that the interface means includes an authentication means for authenticating a user.

[1872] (Claim 3)

[1873] The system according to claim 1, characterized in that the server means includes data processing means for analyzing data by comparing it with a customer database.

[1874] "Application example 2 when combining with an emotional engine"

[1875] (Claim 1)

[1876] A user interface means for entering customer information,

[1877] A terminal means for transmitting the aforementioned customer information to a server for processing,

[1878] A server equipped with an AI engine that generates optimal suggestions and answers based on received customer information,

[1879] A server means that transmits the generated proposals and responses to the terminal,

[1880] A terminal means for displaying the aforementioned proposals and answers on a user interface,

[1881] A server means equipped with an emotion engine that analyzes the user's emotional state based on data acquired from the user interface means or voice input means,

[1882] A server means equipped with an AI engine for generating optimal suggestions and answers considering the aforementioned emotional state,

[1883] A system that includes this.

[1884] (Claim 2)

[1885] The system according to claim 1, characterized in that the user interface means includes a login authentication means for the user.

[1886] (Claim 3)

[1887] The system according to claim 1, characterized in that the server means includes data processing means for analyzing data by comparing it with a customer database. [Explanation of symbols]

[1888] 10, 210, 310, 410 Data Processing Systems 12 Data Processing Devices 14 Smart Devices 214 Smart Glasses 314 Headset-type terminal 414 Robots< / url:> < / url:> < / url:> < / url:>

Claims

1. A user interface means for entering customer information, A terminal means for transmitting the aforementioned customer information to a server for processing, A server equipped with an AI engine that generates optimal suggestions and answers based on received customer information, A server means that transmits the generated proposals and responses to the terminal, A terminal means for displaying the aforementioned proposals and answers on a user interface, A system that includes this.

2. The system according to claim 1, characterized in that the user interface means includes a login authentication means for the user.

3. The system according to claim 1, characterized in that the server means includes data processing means for analyzing data by comparing it with a customer database.

Images