system

Abstract

We provide the system. [Solution] A means of obtaining user authentication information and performing authentication, A means of obtaining contract details information from a user who has successfully authenticated, Based on the above contract information, a means of proposing the most suitable new contract terms to the user, A means for analyzing free-text questions from users and generating appropriate answers, 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 method for controlling a persona chatbot, which is performed by at least one processor, and includes steps of receiving a user utterance, adding the user utterance to a prompt including an instruction sentence related to an explanation of a character of the chatbot, encoding the prompt, and inputting the encoded prompt into a language model to generate a chatbot utterance that responds 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] Conventionally, in order to check and change the plan and options that the user is currently subscribed to, it was necessary to visit a store in person. Therefore, there was a problem that it took time and effort for busy users. In addition, in many cases, direct interaction was required to receive appropriate proposals when changing plans and options, and there was a problem that it was difficult to provide efficient information. Furthermore, there was a lack of means for providing immediate and accurate information to address specific questions that users had.

Means for Solving the Problems

[0005] To solve this problem, the present invention provides the following means. First, it includes means for acquiring authentication information entered by the user into a terminal and for the server to authenticate the user based on that information. Next, if authentication is successful, it includes means for the server to acquire the user's contract details from a database. Furthermore, it provides means for the server to use AI to propose the optimal new contract details to the user based on the acquired contract details. In addition, it includes means for the server to analyze free-text questions from the user and generate appropriate answers using natural language processing technology. In this way, a system is realized that allows users to check their current plans and options, receive proposals for the optimal new plans, and even get immediate answers to their questions, all without having to visit a store.

[0006] "User authentication information" refers to information used to verify a user's identity, and typically includes a user ID and password.

[0007] "Authentication" is the process of verifying whether the entered user authentication information is correct and identifying the user's identity.

[0008] "Contract details information" refers to detailed information about the plan and options that the user is currently subscribed to.

[0009] "Plan" refers to the definition of the pricing structure and services provided for communication services and other related services.

[0010] "Options" refer to special services or features that can be added to the basic plan.

[0011] A "free-text question" refers to a type of question where the user can freely enter text to ask the question.

[0012] "Natural language processing technology" is a technology that enables computers to understand and process natural language, which humans use in everyday life.

[0013] An "AI module" refers to a part of a program that uses artificial intelligence technology to analyze data and make decisions and predictions.

[0014] A "server" refers to a computer system that processes data and manages databases.

[0015] A "terminal" is a device used by a user to perform operations, and includes smartphones, personal computers, and other similar devices. [Brief explanation of the drawing]

[0016] [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 Embodiment 2 when combined with an emotion engine. [Figure 14] It is a sequence diagram showing the processing flow of the data processing system in Application Example 2 when combined with an emotion engine.

Mode for Carrying Out the Invention

[0017] Hereinafter, an example of an embodiment of a system according to the technology of the present disclosure will be described with reference to the accompanying drawings.

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

[0019] [[ID=2,22]]In the following embodiments, a processor with a reference numeral (hereinafter simply referred to as "processor") may be a single arithmetic unit or a combination of a plurality of arithmetic units. Also, the processor may be a single type of arithmetic unit or a combination of a plurality of 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.

[0020] In the following embodiments, a RAM (Random Access Memory) with a reference numeral is a memory in which information is temporarily stored and is used as a work memory by the processor.

[0021] 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.

[0022] 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).

[0023] 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."

[0024] [First Embodiment]

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

[0026] 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.

[0027] 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).

[0028] 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.

[0029] 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.

[0030] The output device 40 includes a display 40A and a speaker 40B, and presents data to the user 20 by outputting the data in a form 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.

[0031] 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.

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

[0033] 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.

[0034] 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.

[0035] 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.

[0036] 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".

[0037] This invention provides a system that allows users to check their current plans and options, and receive proposals for new plans, without having to visit a store. This system is implemented by users accessing it using a terminal and communicating with a server.

[0038] First, when a user logs into the device, they enter their user ID and password. The device sends this authentication information to the server. The server compares the received authentication information with the database, and if authentication is successful, proceeds to the next step. Upon successful authentication, a mechanism for retrieving the user's contract information is activated. The server retrieves the user's current contract information from the database and sends it to the device. This information is displayed to the user on the device, allowing them to check their current plan and options.

[0039] Next, if the user wishes to be offered a new plan, they enter this request in the chat screen and send it. The device sends this request to the server, which invokes an AI module to select the best new plan based on the user's usage history and current contract information. The server formats the information of the selected plan and sends it to the device. The device then displays this information to the user. For example, it might display something like, "Our recommended plan is the XX plan. Its main features are..."

[0040] Furthermore, users can also enter questions in free text format. When a user enters a question in the chat screen and sends it, the device sends this question to the server. The server analyzes the received question using natural language processing technology and generates an appropriate answer. This answer is sent to the device, and the device displays the answer to the user. For example, it may say, "This plan has the following options: XX, YY, and ZZ," providing an immediate and accurate response to the user's question.

[0041] For example, if a user types and sends "Tell me my current plan," the server retrieves the relevant plan information from the database and displays "Your current plan is the XX plan" on the device. If the user requests "Please suggest a new plan," the server uses an AI module to suggest the best plan and displays "Our recommended plan is the XX plan. Its main features are..." Furthermore, if the user asks "What options are available with this plan?", the server uses natural language processing technology to generate an answer and displays "This plan has the following options: XX, YY, and ZZ" on the device.

[0042] As described above, the present invention provides a system that allows users to quickly obtain information on various plans and options and receive proposals for the most suitable new plans without having to visit a store.

[0043] The following describes the processing flow.

[0044] Step 1:

[0045] The user enters their user ID and password into the terminal. The user enters this information on the login screen and presses the submit button.

[0046] Step 2:

[0047] The terminal sends the entered user ID and password to the server. The terminal generates and sends an API request to send the entered information to the server in a secure manner.

[0048] Step 3:

[0049] The server receives the authentication information and compares it with the database. The server then calls the database access module to verify the user ID and password.

[0050] Step 4:

[0051] The server returns the authentication result to the terminal. If authentication is successful, it returns a "Login successful" message and information on how to prepare for the next step. If it fails, it returns a "Login failed" message.

[0052] Step 5:

[0053] The device displays the authentication result to the user. Based on the received response, the device displays an appropriate message on the screen.

[0054] Step 6:

[0055] The user sends a request to check their current plan. After logging in, the user types "Tell me my current plan" in the chat screen and presses the send button.

[0056] Step 7:

[0057] The device sends this request to the server. The device formats the user input as an API request and sends it to the server.

[0058] Step 8:

[0059] The server retrieves the user's current contract information from the database. The server calls the database access module to retrieve the contract information.

[0060] Step 9:

[0061] The server returns the acquired contract information to the terminal. The server formats the information and sends it to the terminal in the appropriate format.

[0062] Step 10:

[0063] The device displays the contract details it has received to the user. The device displays this information on the chat screen and tells the user, "Your current plan is the XX plan."

[0064] Step 11:

[0065] A user requests a new plan proposal. The user types "I'd like a new plan proposal" in the chat screen and presses the send button.

[0066] Step 12:

[0067] The device sends this request to the server. The device formats the user input as an API request and sends it to the server.

[0068] Step 13:

[0069] The server retrieves user usage history and contract information from the database. The server calls the database access module to retrieve the necessary information.

[0070] Step 14:

[0071] The server invokes the AI ​​module to select the optimal new plan. The server passes the acquired information to the AI ​​module, which then executes the plan recommendation algorithm.

[0072] Step 15:

[0073] The server formats the selected plan information and returns it to the terminal. The server then prepares the formatted plan information as a response.

[0074] Step 16:

[0075] The device displays the plan information it has received to the user. The device displays this information on the chat screen and says, "Our recommended plan is the XX plan. Its main features are..."

[0076] Step 17:

[0077] The user enters their question in free text format. The user enters their question in the chat screen and presses the send button.

[0078] Step 18:

[0079] The device sends this question to the server. The device formats the user input as an API request and sends it to the server.

[0080] Step 19:

[0081] The server passes the received question to the AI ​​chatbot module. The server then passes the question content to the AI ​​chatbot, which uses natural language processing technology to analyze the question.

[0082] Step 20:

[0083] The server formats the generated response and returns it to the terminal. The server formats the response from the AI ​​chatbot and returns it to the terminal as a response.

[0084] Step 21:

[0085] The device displays the received response to the user. The device displays this information on the chat screen and responds with, "This plan includes the following options: XX, YY, and ZZ."

[0086] The above outlines the specific processing steps of this system's program.

[0087] (Example 1)

[0088] 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."

[0089] Traditional contract plan management systems require users to visit stores and interact directly with staff, which is time-consuming and labor-intensive. Furthermore, obtaining appropriate and timely answers to user questions can be difficult, potentially degrading the user experience. Additionally, the system often fails to adequately propose the most suitable contract plan for each individual user. A system is needed to solve these problems and allow users to obtain contract information and new plan information more easily and quickly.

[0090] 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.

[0091] In this invention, the server includes means for acquiring user authentication information and performing authentication, means for acquiring contract information from users who have successfully authenticated, means for proposing an optimal new contract plan to the user based on the above contract information, means for analyzing text-based questions from the user and generating appropriate answers, means for analyzing questions from the user using a generative AI model, and means for generating appropriate answers using a generative AI model. As a result, users can check their contract information, receive proposals for optimal plans, and obtain quick and appropriate answers without having to visit a store.

[0092] "User authentication" is the process of verifying a user's identity using the user ID and password they enter when accessing a system.

[0093] "Contract information" refers to the collective data regarding the contract details, such as the plans and options that a user is currently subscribed to.

[0094] A "new contract plan" refers to a new contract plan proposed based on the user's current contract details and usage history.

[0095] A "text-based question" refers to a question that a user enters into the system using natural language.

[0096] "Analysis" is the process of information processing that involves understanding text data entered by a user and generating an appropriate response.

[0097] A "generative AI model" refers to a part of a system that uses artificial intelligence technology to analyze user input and generate appropriate answers or suggestions.

[0098] "Natural language processing technology" refers to the technology that enables computers to understand and process human natural language.

[0099] This invention provides a system that allows users to confirm their contract details and receive proposals for new plans without having to visit a store. This system is implemented by users accessing it using a terminal and communicating with a server.

[0100] First, the user enters their user ID and password on the terminal's login screen. The terminal sends the entered authentication information to the server. The server refers to the database and verifies the received authentication information to authenticate the user. If authentication is successful, the server proceeds to the next step.

[0101] Upon successful authentication, the server retrieves the user's contract information from the database and sends it to the terminal. The terminal displays the received contract information to the user, allowing the user to verify their contract details.

[0102] Next, if a user wants to be offered a new plan, they type "I'd like a new plan" in the chat screen and send it. The device sends this request to the server. The server invokes an AI module and selects the best new plan based on the user's usage history and current contract information. The server formats the information of the selected new plan and sends it to the device. The device displays this information to the user, allowing the user to receive a new plan offer.

[0103] Furthermore, users can enter questions in free text format. When a user enters a question in the chat screen and sends it, the device sends this question to the server. The server analyzes the received question using natural language processing technology and generates an appropriate answer using a generative AI model. This answer is sent to the device, which then displays the answer to the user. This allows users to obtain quick and accurate answers.

[0104] Hardware and software to be used

[0105] Hardware:

[0106] Devices: Smartphones, tablets, PCs

[0107] Server: Cloud server (example of conversion to a generic name)

[0108] software:

[0109] AI Modules: Machine learning frameworks (e.g., TENSORFLOW®, PyTorch)

[0110] Database: Relational database management system (e.g., MySQL®, PostgreSQL)

[0111] Specific examples and prompt statements

[0112] Example 1: Checking the current plan

[0113] User: Type "Tell me the current plan" and send.

[0114] Server: Retrieves the relevant plan information from the database and sends the message "Your current plan is the XX plan" to the device.

[0115] Terminal: Displays the received content to the user.

[0116] Prompt message

[0117] Please describe the program's response when a user types "Tell me the current plan."

[0118] Example 2: Proposal of a new plan

[0119] User: "I would like you to propose a new plan."

[0120] Server: Uses an AI module to analyze the optimal plan and sends a message to the terminal saying, "The recommended plan is the XX plan. Its main features are..."

[0121] Terminal: Displays received information to the user.

[0122] Prompt message

[0123] Please describe how the program should handle a user requesting a new plan.

[0124] Specific example 3: Questions about plan options

[0125] User: "What options are available with this plan?"

[0126] Server: Uses natural language processing technology to send a message to the terminal saying, "This plan includes options XX, YY, and ZZ."

[0127] Terminal: Displays the received response to the user.

[0128] Prompt message

[0129] Please describe how the program should respond when a user asks, "What options are available with this plan?"

[0130] As a result, the system of the present invention allows users to easily check contract information and receive proposals for new plans from home or while on the go. Furthermore, by using natural language processing technology, it becomes possible to respond quickly and appropriately to user inquiries.

[0131] The flow of the specific processing in Example 1 will be explained using Figure 11.

[0132] Program processing flow

[0133] Step 1: Enter and submit user authentication information.

[0134] The user enters their user ID and password on the device's login screen.

[0135] Input: User ID, Password

[0136] The terminal sends the entered authentication information to the server.

[0137] Output: Authentication information sent to the server

[0138] Step 2: Verification of Authentication Information

[0139] The server refers to the database and verifies the received authentication information.

[0140] Input: Authentication information sent to the server

[0141] If the matching is successful, proceed to the next step. If it fails, an error message will be sent to the terminal.

[0142] Data processing: Retrieve user information from the database and compare it with authentication information.

[0143] Output: Matching result (success / failure)

[0144] Step 3: Obtaining contract information

[0145] If authentication is successful, the server retrieves the user's contract information from the database.

[0146] Input: User ID that successfully authenticated

[0147] The server sends the acquired contract information to the terminal.

[0148] Data processing: Query and retrieve contract information from the database.

[0149] Output: User contract information

[0150] Step 4: Displaying contract information

[0151] The terminal displays the received contract information to the user.

[0152] Input: Contract information (data sent from the server)

[0153] Specific action: The contract details will be displayed on the screen in a table format.

[0154] Output: Contract information displayed on the user screen

[0155] Step 5: Request a new plan proposal

[0156] The user types "I'd like you to propose a new plan" in the chat screen and sends it.

[0157] Input: Request for a new plan proposal

[0158] The device sends this request to the server.

[0159] Output: Request data sent to the server

[0160] Step 6: Selection of a new plan using the AI ​​module

[0161] The server invokes an AI module to select the optimal new plan based on the user's usage history and contract information.

[0162] Input: Usage history, contract information, request for new plan proposal

[0163] The server uses an AI module to analyze the data and select the optimal new plan.

[0164] Data processing: Data analysis using machine learning models

[0165] Output: Optimal new plan information

[0166] Step 7: Submit and display new plan information

[0167] The server formats the information of the selected new plan and sends it to the terminal.

[0168] Input: New plan information

[0169] The device displays this information to the user.

[0170] Specific action: Display the features and benefits of the new plan in a format that informs the user.

[0171] Output: New plan information displayed on the user screen

[0172] Step 8: Enter and submit the free text question.

[0173] Users enter and submit questions in free text format.

[0174] Input: User question text

[0175] The device sends this question to the server.

[0176] Output: Question text sent to the server

[0177] Step 9: Question analysis and answer generation

[0178] The server uses a generative AI model to analyze the received questions.

[0179] Input: User question text

[0180] Data processing: Analyze questions using natural language processing techniques.

[0181] The server generates the appropriate response.

[0182] Output: Generated answer text

[0183] Step 10: Submit and view your response

[0184] The server sends the generated response to the terminal.

[0185] Input: Generated response text

[0186] The device displays the received response to the user.

[0187] Specific action: Display the answer text on the screen.

[0188] Output: Answer text displayed on the user screen

[0189] This allows users to easily check their contract information, receive proposals for new plans, and get quick and appropriate answers from home or on the go.

[0190] (Application Example 1)

[0191] 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."

[0192] Traditional systems required users to visit a store, which involved the cumbersome process of confirming contract details and receiving new contract proposals. Furthermore, it was difficult to receive immediate, optimal recommendations based on the user's usage history and spending patterns. There were also delays in responding to diverse user inquiries and difficulties in obtaining appropriate responses. To address these challenges, a system is needed that can easily and quickly meet user needs online.

[0193] 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.

[0194] In this invention, the server includes means for acquiring user authentication information and performing authentication, means for acquiring contract details information from authenticated users, means for proposing the most suitable new contract details to the user based on the above contract details information, means for analyzing free-text questions from the user and generating appropriate answers, and means for acquiring the user's past spending and usage history and proposing the most suitable spending plan and benefits based on that. As a result, users can check and receive proposals for their current and new contract details online without having to visit a store, and can immediately receive proposals for the most suitable plan and benefits based on their usage history. Furthermore, it becomes possible to answer free-text questions quickly and accurately.

[0195] "User authentication information" refers to information used to identify a user. Specifically, this includes user IDs and passwords.

[0196] "Contract details" refers to detailed information about the services or products that the user is currently subscribed to. This includes the type of contract, usage fees, and contract period.

[0197] "New contract details" refer to the proposed services or products that a user can enter into a new contract for. This includes new plans and options.

[0198] A "free-text question" refers to a question that the user enters in any format they choose. Specifically, it is a question that is entered in natural language without being bound by a particular format.

[0199] A "spending plan" is a budget and spending management plan proposed based on the user's past spending history.

[0200] "Benefits" refer to special services or advantages offered to users. Specifically, these include things like point rewards and discounts.

[0201] "Past spending and usage history" refers to the history of transactions and spending that a user has made in the past. This includes records of the amount spent and the services used.

[0202] "Natural language processing technology" refers to the technology that enables computers to understand, analyze, and generate human language. Specifically, it includes text analysis and speech recognition.

[0203] This invention provides a system that allows users to receive suggestions for optimal plans and benefits based on their contract details and spending history, without having to visit a store, and to obtain immediate answers to free-form questions. This system is implemented using a smartphone app, a server, a database, AI technology, and natural language processing technology.

[0204] Program generation

[0205] The program for this system is structured as follows:

[0206] Hardware and software to be used

[0207] Hardware: Smartphones, servers, database servers

[0208] software:

[0209] Smartphone app development environments (e.g., ANDROID® Studio, Xcode)

[0210] Server-side programming frameworks (e.g., Node.js, Python with Flask / Django)

[0211] Databases (e.g., MySQL, MongoDB)

[0212] AI modules (e.g., TensorFlow, GPT-4®)

[0213] Natural language processing libraries (e.g., spaCy, NLTK)

[0214] Specific processing of the system

[0215] 1. User Authentication:

[0216] When logging into an app on a smartphone, the user enters their user ID and password. The user's authentication information is sent to the server, which authenticates the user by matching it against the database. If authentication is successful, the process proceeds to the next step.

[0217] 2. Obtaining contract details information:

[0218] For users who successfully authenticate, the server retrieves their current contract information from the database. This information is sent to the user's smartphone and displayed to them.

[0219] 3. Proposal of new contract terms:

[0220] When a user requests new plans or benefits, a request is sent from the smartphone app to the server. The server uses an AI module to generate the most suitable plans and benefits based on the user's usage history and current contract information. This result is sent to the smartphone and displayed to the user.

[0221] 4. Proposed spending plan:

[0222] The server retrieves the user's past spending and usage history from a database and generates an optimal spending plan based on that data. This spending plan is designed to facilitate budget management and efficient use of benefits. The generated plan is sent to the user's smartphone and displayed to them.

[0223] 5. Question answering using natural language processing:

[0224] When a user enters a free-text question into a smartphone app and submits it, the question is sent to a server. The server analyzes the received question using natural language processing technology (such as spaCy or NLTK) and generates an appropriate answer. This answer is then sent to the smartphone and displayed to the user.

[0225] Examples of specific cases and prompt statements

[0226] As an example of a prompt, if a user types "Tell me my current spending status," this request is sent to the server. The server retrieves the spending status from the database and returns a specific response like the following:

[0227] User: "Tell me about your current spending habits."

[0228] Server: "Your current spending breakdown is ¥5,000 in Category A and ¥3,000 in Category B."

[0229] This system allows users to easily and quickly check their contract details and spending status without having to visit a store. Furthermore, they can receive suggestions for optimal plans and benefits based on their past usage history, and can obtain instant and accurate answers to free-form questions using natural language processing technology.

[0230] The flow of a specific process in Application Example 1 will be explained using Figure 12.

[0231] Step 1:

[0232] The user enters their user ID and password to log in to the smartphone app.

[0233] Input: User ID, Password

[0234] Processing: The smartphone app sends the entered authentication information to the server.

[0235] Output: Authentication Request

[0236] Step 2:

[0237] The server attempts authentication by comparing the received user ID and password with the database.

[0238] Input: Authentication request, database user information

[0239] Processing: Retrieve the relevant user information from the database and compare it with the entered authentication information.

[0240] Output: Response indicating authentication success or failure.

[0241] Step 3:

[0242] After successful authentication, the server retrieves the user's current contract information from the database and sends it to the smartphone app.

[0243] Input: Authentication success response, database contract details

[0244] Processing: Retrieve user contract information from the database, format it, and send it to the smartphone app in JSON format.

[0245] Output: User contract information

[0246] Step 4:

[0247] Users can check their contract details on a smartphone app and enter requests for new plans or benefits.

[0248] Input: Request for proposal

[0249] Processing: The smartphone app sends the user's suggestion request to the server.

[0250] Output: Proposal Request

[0251] Step 5:

[0252] The server receives a proposal request and uses an AI module to generate the optimal plan and benefits based on the user's usage history and contract information.

[0253] Input: Proposal request, database usage history, contract details

[0254] Processing: The AI ​​module (e.g., GPT-4) is activated, user usage history and contract information are input as data, and the optimal plan and benefits are generated.

[0255] Output: Data suggesting the optimal plan and benefits.

[0256] Step 6:

[0257] The server sends the generated suggestion data to the smartphone app and displays it to the user.

[0258] Input: Proposed data

[0259] Processing: Format the proposed data and send it to the smartphone app in JSON format.

[0260] Output: Suggestions displayed to the user

[0261] Step 7:

[0262] Users enter and submit questions in free text format using a smartphone app.

[0263] Input: Free text question

[0264] Processing: The smartphone app sends the user's question to the server.

[0265] Output: Question Request

[0266] Step 8:

[0267] The server receives a question request, analyzes the question using natural language processing techniques, and generates an appropriate answer.

[0268] Input: Question Request

[0269] Processing: Analyze the question using a natural language processing library (e.g., spaCy, NLTK) and generate an appropriate answer.

[0270] Output: Response data

[0271] Step 9:

[0272] The server sends the generated response data to the smartphone app and displays it to the user.

[0273] Input: Response data

[0274] Processing: Format the response data and send it to the smartphone app in JSON format.

[0275] Output: The response content displayed to the user.

[0276] 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.

[0277] This invention provides a system that allows users to check, change, and receive suggestions for new plans and options without having to visit a store. This system is implemented by users accessing it via a terminal and communicating with a server. Furthermore, by incorporating an emotion engine that recognizes user emotions, it can provide more appropriate responses and suggestions.

[0278] First, when a user logs into the device, they enter their user ID and password. Once the user enters this information on the login screen and presses the submit button, the device sends this authentication information to the server. The server compares the received authentication information with the database, and if authentication is successful, proceeds to the next step. Upon successful authentication, the server retrieves the user's contract information from the database and sends this information to the device. The device displays this contract information to the user, allowing them to check their current plan and options.

[0279] Next, if the user wishes to be offered a new plan, they enter this information in the chat screen and send it. The device sends this request to the server, which activates an AI module to select the best new plan based on the user's usage history and current contract information. The server formats the information of the selected plan and sends it to the device. The device then displays this information to the user, for example, "Our recommended plan is the XX plan. Its main features are..."

[0280] Furthermore, users can also enter questions in free text format. When a user enters a question in the chat screen and sends it, the device sends this question to the server. The server passes the received question to the AI ​​chatbot module, which uses natural language processing technology to analyze the question and generate an appropriate answer. This answer is then sent to the device, which displays the answer to the user. For example, it might say, "This plan includes the following options: XX, YY, and ZZ," providing an immediate and accurate response to the user's question.

[0281] Furthermore, the present invention incorporates an emotion engine that recognizes the user's emotions. The emotion engine analyzes the emotional state from the text entered by the user on the chat screen. Based on this emotional state, the server can adjust the content of suggestions and responses. For example, if the user expresses dissatisfaction or questions, the server can prioritize providing more detailed information or giving a quick response to the user's requests.

[0282] For example, if a user types and sends "Tell me my current plan," the server retrieves the relevant plan information from the database and displays "Your current plan is the XX plan" on the device. If the user requests "Please suggest a new plan," the server uses an AI module to suggest the best plan and displays "Our recommended plan is the XX plan. Its main features are..." Furthermore, if the user asks "What options are available with this plan?", the server uses natural language processing technology to generate an answer and displays "This plan has the following options: XX, YY, and ZZ" on the device.

[0283] Due to the operation of the emotion engine, for example, when a user inputs "I feel this plan is too expensive", the server uses the emotion engine to recognize the user's concern and generate a more appropriate response, such as alternative options, discount information, and guidance to customer support. In this way, it becomes possible to respond proficiently to the user's emotional state and realize a more user-friendly system.

[0284] As described above, the present invention provides a system that enables a user to efficiently obtain information regarding various contracts and be proposed an optimal plan without visiting a store in person, and at the same time, it is possible to perform an optimal response according to the user's emotional state by means of the emotion engine.

[0285] The processing flow will be described below.

[0286] Step 1:

[0287] The user inputs the user ID and password into the terminal. The user enters this information on the login screen and presses the send button. [[ID=**21**]]

[0288] Step 2:

[0289] The terminal sends the input user ID and password to the server. The terminal generates and sends an API request for sending the input information to the server in a secure manner.

[0290] Step 3:

[0291] The server receives the authentication information and collates it with the database. The server calls the database access module to collate the user ID and password.

[0292] Step 4:

[0293] <000092**6**> Note: There seems to be a minor error in the original text where line 21's tag is misspelled as

[0288] instead of

[0288] (assuming it's a typo), and line 42's tag is misspelled as instead of (assuming it's a typo). These have been left as-is in the translation as per the instruction to preserve all tags exactly.The server returns the authentication result to the terminal. If authentication is successful, it returns a "Login successful" message and information on how to prepare for the next step. If it fails, it returns a "Login failed" message.

[0294] Step 5:

[0295] The device displays the authentication result to the user. Based on the received response, the device displays an appropriate message on the screen.

[0296] Step 6:

[0297] The user sends a request to check their current plan. After logging in, the user types "Tell me my current plan" in the chat screen and presses the send button.

[0298] Step 7:

[0299] The device sends this request to the server. The device formats the user input as an API request and sends it to the server.

[0300] Step 8:

[0301] The server retrieves the user's current contract information from the database. The server calls the database access module to retrieve the contract information.

[0302] Step 9:

[0303] The server returns the acquired contract information to the terminal. The server formats the information and sends it to the terminal in the appropriate format.

[0304] Step 10:

[0305] The device displays the contract details it has received to the user. The device displays this information on the chat screen and tells the user, "Your current plan is the XX plan."

[0306] Step 11:

[0307] The user requests a proposal for a new plan. The user enters "Please propose a new plan" on the chat screen and presses the send button.

[0308] Step 12:

[0309] The terminal sends this request to the server. The terminal formats the user input as an API request and sends it to the server.

[0310] Step 13:

[0311] The server retrieves the user's usage history and contract content information from the database. The server calls the database access module to retrieve the necessary information.

[0312] Step 14:

[0313] The server calls the AI module to select the most suitable new plan. The server passes the information retrieved to the AI module and executes the plan recommendation algorithm.

[0314] Step 15:

[0315] The server formats the selected plan information and returns it to the terminal. The server prepares the formatted plan information as a response.

[0316] Step 16:

[0317] The terminal displays the received plan information to the user. The terminal displays this information on the chat screen and conveys "The recommended plan is the XX plan. The main features are..."

[0318] Step 17:

[0319] The user enters a question in free text format. The user enters the question content on the chat screen and presses the send button.

[0320] Step 18:

[0321] The device sends this question to the server. The device formats the user input as an API request and sends it to the server.

[0322] Step 19:

[0323] The server passes the received question to the AI ​​chatbot module. The server then passes the question content to the AI ​​chatbot, which uses natural language processing technology to analyze the question.

[0324] Step 20:

[0325] The server formats the generated response and returns it to the terminal. The server formats the response from the AI ​​chatbot and returns it to the terminal as a response.

[0326] Step 21:

[0327] The device displays the received response to the user. The device displays this information on the chat screen and responds with, "This plan includes the following options: XX, YY, and ZZ."

[0328] Step 22:

[0329] The emotion engine analyzes the emotional state of the user from the text they enter in the chat screen. The terminal sends the user's input data to the server, which then uses the emotion engine to perform the emotional analysis.

[0330] Step 23:

[0331] The server adjusts suggestions and responses based on the user's emotional state. For example, if it determines that the user is showing anxiety, the server will generate detailed explanations and reassuring suggestions.

[0332] Step 24:

[0333] The server generates the optimal response based on the sentiment analysis results and sends it to the terminal. The server then formats the response and returns it to the terminal as a response.

[0334] Step 25:

[0335] The device displays the response it receives to the user. The device then displays the appropriate response on the chat screen and takes appropriate action towards the user.

[0336] Step 26:

[0337] The user enters a new request or question, and the process restarts from step 6.

[0338] The above outlines the specific processing steps of this system's program.

[0339] (Example 2)

[0340] 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".

[0341] Traditional contract information verification systems had the drawback of requiring users to visit a physical store to check their contract details and receive changes or new proposals. Furthermore, responses to user inquiries were often not immediate or accurate, leading to a poor user experience. Additionally, the lack of consideration for user emotions made it difficult to improve user satisfaction. There is a need to address these issues and provide a more efficient and user-friendly system.

[0342] In Example 2, the identification processing performed by the identification processing unit 290 of the data processing device 12 is realized by the following means. In this invention, the server includes means for acquiring user authentication information and performing authentication, means for acquiring contract content information from users who have successfully been authenticated, means for proposing the optimal new contract content to the user based on the above contract content information, means for analyzing free-text format questions from the user and generating appropriate answers, and means for adjusting the content of proposals and responses using an emotion engine that analyzes the user's emotional state. As a result, users can confirm contract content and receive proposals for optimal plans without having to visit a store, and immediate and accurate answers to user questions can be provided. Furthermore, by using an emotion engine, appropriate responses based on the user's emotions become possible, realizing a user-friendly system.

[0343] "User authentication information" refers to information such as the ID and password that a user enters to access the system.

[0344] "Authentication" is the process of verifying whether a user is a legitimate user by using the user's authentication information entered.

[0345] "Contract details information" refers to detailed information about the plan and options that the user is currently subscribed to.

[0346] "New contract details" refers to information about new plans and options offered to the user.

[0347] A "free-text question" is a question written in natural language that the user enters in any format they choose.

[0348] "Natural language processing technology" is a technology that enables computers to understand and analyze human language.

[0349] An "appropriate answer" is a precise and meaningful response to a user's question.

[0350] An "emotion engine" is an algorithm or software that analyzes a user's emotional state from the text they input.

[0351] "Adjusting proposals and responses" is the process of optimizing the content and format of proposals and responses according to the user's emotional state.

[0352] A "server" is a central computer system that manages user authentication information and retrieves and proposes contract details, and answers questions.

[0353] A "device" refers to a device such as a smartphone or PC that is directly operated by the user.

[0354] Modes for carrying out the invention

[0355] This invention is a system that allows users to check their contract details and receive new plan proposals without having to visit a store. This system is primarily implemented through communication between a server and a terminal, and incorporates an emotion engine to provide more user-friendly responses.

[0356] Hardware and software to be used

[0357] This system uses the following hardware and software.

[0358] Server: Cloud service (e.g., Amazon Web Services, Microsoft Azure®)

[0359] Devices: Smartphones, tablets, PCs

[0360] AI Modules: TensorFlow, PyTorch

[0361] Natural language processing technologies: BERT (Google®), GPT (OpenAI®)

[0362] System Operation Overview

[0363] Authentication process

[0364] First, the user accesses the system from their device and enters their user ID and password on the login screen. This information is sent from the device to the server. The server compares the received authentication information with the database, and if authentication is successful, proceeds to the next step. The database used in this step is a cloud-based database service that can securely manage user information.

[0365] Contract details

[0366] Upon successful authentication, the server retrieves the user's contract information from the database and sends it to the device. The device then displays this information to the user, allowing them to check their current plan and options.

[0367] Proposal for a new plan

[0368] If a user wishes to be offered a new plan, they enter their request in the chat screen and send it. Upon receiving the request from the terminal, the server activates an AI module and selects the most suitable new plan based on the user's usage history and current contract information. The server formats the information of the selected plan and sends it back to the terminal. For example, it might display something like, "Our recommended plan is the Silver Plan. Its main features are low cost and high-speed data communication."

[0369] Free text format question support

[0370] When a user enters a question into the system in free text format, the content is sent from the terminal to the server. The server passes the received question to an AI chatbot module, which uses natural language processing technology to analyze the question and generate an appropriate answer. This answer is then sent from the server to the terminal and displayed to the user. For example, the user can receive an immediate and accurate answer such as, "This plan has the following options: XX, YY, and ZZ."

[0371] Emotional Engine

[0372] Furthermore, this system incorporates an emotion engine that analyzes the emotional state of the user from the text they enter in the chat screen. Based on this analysis, the server adjusts the content of its suggestions and responses. For example, if a user enters text indicating dissatisfaction, the system will provide more detailed information and respond quickly to improve user satisfaction.

[0373] Specific example

[0374] Below are some specific examples of prompt statements.

[0375] 1. "Tell me about your current plans."

[0376] 2. "I'd like you to propose a new plan."

[0377] 3. "What options are available with this plan?"

[0378] 4. "I think this plan is too expensive."

[0379] By utilizing these prompts, users can quickly and efficiently obtain the necessary information and receive suggestions for the optimal plan. As described above, the present invention is a system that significantly improves user convenience.

[0380] The flow of the specific processing in Example 2 will be explained using Figure 13.

[0381] Step 1:

[0382] The user opens the login screen on their device and enters their user ID and password.

[0383] Input: User ID, Password

[0384] Action: The user enters "user123" and "password123" using the keyboard.

[0385] Output: The entered authentication information is temporarily stored on the device.

[0386] Step 2:

[0387] When the user presses the submit button, the device sends the entered authentication information to the server.

[0388] Input: User ID, Password

[0389] Action: Click the submit button. Authentication information is sent from the device to the server using the HTTPS protocol.

[0390] Output: Authentication information is transferred to the server.

[0391] Step 3:

[0392] The server performs authentication by comparing the received authentication information with the database.

[0393] Input: Authentication information sent to the server

[0394] Operation: The server executes a query and verifies that the user ID and password match.

[0395] Output: Authentication success or failure status.

[0396] Step 4:

[0397] If authentication is successful, the server retrieves the user's contract information from the database and sends it to the terminal.

[0398] Input: Authentication successful status

[0399] Operation: The server executes a database query based on the user ID to retrieve contract details. The retrieved information is converted to JSON format and sent to the terminal.

[0400] Output: Contract details in JSON format are sent to the terminal.

[0401] Step 5:

[0402] The terminal displays the contract details received from the server to the user.

[0403] Input: Contract details in JSON format

[0404] Operation: The device's UI analyzes the received information and displays it to the user in a visually easy-to-understand format.

[0405] Output: A display screen where the user can check their current contract details.

[0406] Step 6:

[0407] The user types and sends a message in the chat screen requesting a new plan proposal.

[0408] Input: Request in free text format

[0409] Action: The user types "I'd like you to propose a new plan" and clicks the send button. The chat message is sent from the device to the server.

[0410] Output: The submitted request message is forwarded to the server.

[0411] Step 7:

[0412] The server activates the AI ​​module and selects a new plan based on the user's usage history and current contract information.

[0413] Input: Request message, user history, current contract details

[0414] Operation: The server uses an AI module to analyze user data and select the optimal plan. The AI ​​module receives usage history and current contract details, and outputs a recommended plan.

[0415] Output: Information on the optimal plan.

[0416] Step 8:

[0417] The server formats the selected plan information and sends it to the terminal.

[0418] Input: Recommended plan information

[0419] Operation: The server formats the recommended plan information and converts it to JSON format. It then sends that information to the terminal.

[0420] Output: Plan information in JSON format.

[0421] Step 9:

[0422] The device displays the new plan information received from the server to the user.

[0423] Input: Plan information in JSON format

[0424] Operation: The device's UI analyzes the received information and displays it to the user in a visually easy-to-understand format.

[0425] Output: A display screen where the user can review the proposed plan.

[0426] Step 10:

[0427] The user enters their question in free text format into the chat screen and sends it.

[0428] Input: Free text question

[0429] Action: The user types "What options are available with this plan?" and clicks the submit button. The question is sent from the terminal to the server.

[0430] Output: The submitted question is forwarded to the server.

[0431] Step 11:

[0432] The server uses an AI chatbot module to analyze the question and generate an appropriate response.

[0433] Input: Free text question

[0434] Operation: The server passes the question to the chatbot module, which then analyzes the question using natural language processing technology. Based on the analysis results, it generates an answer.

[0435] Output: The generated answer.

[0436] Step 12:

[0437] The server sends the generated response to the terminal.

[0438] Input: Generated answer

[0439] Operation: The server converts the generated response into JSON format and sends it to the terminal.

[0440] Output: Answer in JSON format.

[0441] Step 13:

[0442] The terminal displays the response received from the server to the user.

[0443] Input: Answer in JSON format

[0444] Operation: The device's UI analyzes the received response and displays it to the user in a visually easy-to-understand format.

[0445] Output: A display screen where the user can see the answer to the question.

[0446] Step 14:

[0447] Users type and send messages that reflect their emotions in the chat screen.

[0448] Input: Free text message including emotions

[0449] Action: The user types "I think this plan is too expensive" and clicks the send button. The message is sent from the device to the server.

[0450] Output: The sent message is forwarded to the server.

[0451] Step 15:

[0452] The server uses an emotion engine to analyze the user's emotional state.

[0453] Input: Free text message including emotions

[0454] Operation: The server uses an emotion engine to analyze messages and recognize the user's emotional state.

[0455] Output: User's emotional state information.

[0456] Step 16:

[0457] The server adjusts the response based on the emotional state and sends it to the terminal.

[0458] Input: User's emotional state information

[0459] Operation: The server adjusts the content of suggestions and responses based on the emotional state, converts them to JSON format, and sends them to the terminal.

[0460] Output: Adjusted response content in JSON format.

[0461] Step 17:

[0462] The terminal displays the adjusted response received from the server to the user.

[0463] Input: Adjusted response content in JSON format

[0464] Operation: The device's UI analyzes the received response and displays it to the user in a visually easy-to-understand format.

[0465] Output: A display screen where the user can review the adjusted response.

[0466] The above outlines the specific processing steps of this system.

[0467] (Application Example 2)

[0468] 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".

[0469] Traditional contract management systems made it difficult for users to review, modify, or receive proposals for new plans without visiting a physical store. Furthermore, providing appropriate answers to user inquiries required significant human resources, often resulting in delays. Additionally, the inability to consider the user's emotional state in responses and suggestions frequently led to a poor user experience. These issues need to be resolved.

[0470] 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. In this invention, the server includes means for acquiring user authentication information and performing authentication, means for acquiring contract content information from users who have successfully authenticated, means for proposing the most suitable new contract content to the user based on the above contract content information, means for analyzing free-text format questions from the user and generating appropriate answers, and means for analyzing the user's emotional state and adjusting the content of responses and proposals. As a result, users can check and change their contract content and receive proposals for new plans without having to visit a store, and can also be provided with optimal proposals and responses according to their emotional state.

[0471] "User authentication information" refers to personal identification information such as IDs and passwords that users use when accessing the system.

[0472] "Contract details information" refers to the detailed information of the services and plans that the user has already contracted for.

[0473] "New contract details" refers to new contract plans or options proposed to the user based on their current contract details.

[0474] A "free-text question" refers to a question or inquiry that a user enters in any format they choose.

[0475] "Emotional state" refers to the emotional state analyzed by the emotion engine from the text entered by the user.

[0476] "Means for adjusting the content of responses and suggestions" refers to a mechanism in which the system adjusts the content of suggestions and responses to be most appropriate for the user based on the analyzed emotional state.

[0477] The system for implementing this invention allows users to use a smartphone to check and change contract details and receive proposals for new plans. The system has a function to analyze the user's emotional state and adjust the content of appropriate responses and proposals.

[0478] First, the user logs in to the application installed on their smartphone. The login screen requires a user ID and password, and this authentication information is sent to the server. The server compares the authentication information with a database, and if authentication is successful, it retrieves the user's contract information and sends it to the device.

[0479] Next, the device displays contract information to the user. If the user wishes to be offered a new plan, they enter a request in the chat screen and send it. This request is sent to the server, which activates a generating AI model to select the best new plan based on the user's usage history and current contract information. The information of the selected plan is formatted, sent to the device, and displayed to the user.

[0480] Users can also enter questions in free text format, and these questions are sent to the server. The server analyzes the received questions using natural language processing techniques and generates appropriate answers. These answers are sent to the terminal and displayed to the user.

[0481] Furthermore, an emotion engine is incorporated to analyze the user's emotional state. The emotion engine analyzes the emotional state from the text entered by the user, and the server adjusts the content of suggestions and responses based on this emotional state. For example, if the user indicates dissatisfaction, the server will provide more detailed information or discount information.

[0482] The hardware and software to be used are as follows:

[0483] Hardware:

[0484] Smartphone (iOS or Android)

[0485] software:

[0486] Python

[0487] Flask (a small web framework for server communication)

[0488] AI models (e.g., Scikit-learn, TensorFlow, etc.)

[0489] Natural language processing models (e.g., BERT, GPT-3®)

[0490] Emotional Engine

[0491] Examples of specific prompt messages:

[0492] Please authenticate with user ID '12345'.

[0493] If authentication is successful, please display the current plan for user '12345'.

[0494] If a user requests a new plan, please propose the most suitable plan.

[0495] If a user asks, "What options are available with this plan?", please provide information about the options.

[0496] If a user enters "I feel this plan is too expensive," perform sentiment analysis and provide alternative plans or discount information.

[0497] In this way, users can review and modify their contract details, receive proposals for new plans, and receive appropriate responses and suggestions based on their emotional state, all without having to visit a physical store.

[0498] The flow of a specific process in Application Example 2 will be explained using Figure 14.

[0499] Step 1:

[0500] A user logs into the application using their smartphone. They enter their user ID and password as input. The device sends this authentication information to the server. The server verifies it against the database, and if authentication is successful, sends a success message along with a token to the device to proceed to the next step. The output is either authentication success or failure.

[0501] Step 2:

[0502] If authentication is successful, the server retrieves the user's contract information from the database. The inputs are the token and user ID obtained in the previous step. Based on this, the server searches for the user's contract information and sends the formatted data to the terminal. The output is the contract information.

[0503] Step 3:

[0504] The terminal displays contract information sent from the server to the user. The user reviews their contract details and, if they wish to receive a new plan proposal, enters this information in the chat screen. This input is the user's request message. The terminal sends this request message to the server. The user's request is sent as output.

[0505] Step 4:

[0506] When the server receives a user request, it activates a generative AI model to select the optimal new plan based on the user's usage history and current contract information. The inputs are the user's request, usage history, and current contract information. The server performs data analysis using the AI ​​model, generates optimal plan information, and sends it to the terminal. The output is the optimal new plan information.

[0507] Step 5:

[0508] The terminal displays new plan information sent from the server to the user. If the user has any questions about the new plan, they can enter them in free text format. The input is the free text question entered by the user. The terminal sends this question to the server. As output, the user's question is sent back to the server.

[0509] Step 6:

[0510] The server receives free-text questions from users and analyzes them using natural language processing (NLP) techniques. The input is the user's question text. The server uses an NLP model to analyze the question and generate an appropriate answer. The generated answer is sent to the terminal. The output is the appropriate answer.

[0511] Step 7:

[0512] The terminal displays the answer sent from the server to the user. It verifies whether the user's question has been answered satisfactorily. Furthermore, if the user enters an emotion, the terminal also sends that emotion text to the server. The input is the emotion text from the user. The terminal sends this emotion text to the server. As output, the emotion text is sent to the server.

[0513] Step 8:

[0514] The server receives the user's sentiment text, which is then analyzed by the sentiment engine. The input is the user's sentiment text. The server uses the sentiment engine to analyze the emotional state and adjust the content of appropriate responses and suggestions based on that analysis. The analysis results are sent to the terminal as adjusted suggestions and responses. The output is the adjusted responses and suggestions.

[0515] 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.

[0516] 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.

[0517] 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.

[0518] [Second Embodiment]

[0519] Figure 3 shows an example of the configuration of the data processing system 210 according to the second embodiment.

[0520] 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.

[0521] 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).

[0522] 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.

[0523] 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.

[0524] 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).

[0525] 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.

[0526] 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.

[0527] 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.

[0528] 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.

[0529] 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.

[0530] 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".

[0531] This invention provides a system that allows users to check their current plans and options, and receive proposals for new plans, without having to visit a store. This system is implemented by users accessing it using a terminal and communicating with a server.

[0532] First, when a user logs into the device, they enter their user ID and password. The device sends this authentication information to the server. The server compares the received authentication information with the database, and if authentication is successful, proceeds to the next step. Upon successful authentication, a mechanism for retrieving the user's contract information is activated. The server retrieves the user's current contract information from the database and sends it to the device. This information is displayed to the user on the device, allowing them to check their current plan and options.

[0533] Next, if the user wishes to be offered a new plan, they enter this request in the chat screen and send it. The device sends this request to the server, which invokes an AI module to select the best new plan based on the user's usage history and current contract information. The server formats the information of the selected plan and sends it to the device. The device then displays this information to the user. For example, it might display something like, "Our recommended plan is the XX plan. Its main features are..."

[0534] Furthermore, users can also enter questions in free text format. When a user enters a question in the chat screen and sends it, the device sends this question to the server. The server analyzes the received question using natural language processing technology and generates an appropriate answer. This answer is sent to the device, and the device displays the answer to the user. For example, it may say, "This plan has the following options: XX, YY, and ZZ," providing an immediate and accurate response to the user's question.

[0535] For example, if a user types and sends "Tell me my current plan," the server retrieves the relevant plan information from the database and displays "Your current plan is the XX plan" on the device. If the user requests "Please suggest a new plan," the server uses an AI module to suggest the best plan and displays "Our recommended plan is the XX plan. Its main features are..." Furthermore, if the user asks "What options are available with this plan?", the server uses natural language processing technology to generate an answer and displays "This plan has the following options: XX, YY, and ZZ" on the device.

[0536] As described above, the present invention provides a system that allows users to quickly obtain information on various plans and options and receive proposals for the most suitable new plans without having to visit a store.

[0537] The following describes the processing flow.

[0538] Step 1:

[0539] The user enters their user ID and password into the terminal. The user enters this information on the login screen and presses the submit button.

[0540] Step 2:

[0541] The terminal sends the entered user ID and password to the server. The terminal generates and sends an API request to send the entered information to the server in a secure manner.

[0542] Step 3:

[0543] The server receives the authentication information and compares it with the database. The server then calls the database access module to verify the user ID and password.

[0544] Step 4:

[0545] The server returns the authentication result to the terminal. If authentication is successful, it returns a "Login successful" message and information on how to prepare for the next step. If authentication fails, it returns a "Login failed" message.

[0546] Step 5:

[0547] The device displays the authentication result to the user. Based on the received response, the device displays an appropriate message on the screen.

[0548] Step 6:

[0549] The user sends a request to check their current plan. After logging in, the user types "Tell me my current plan" in the chat screen and presses the send button.

[0550] Step 7:

[0551] The device sends this request to the server. The device formats the user input as an API request and sends it to the server.

[0552] Step 8:

[0553] The server retrieves the user's current contract information from the database. The server calls the database access module to retrieve the contract information.

[0554] Step 9:

[0555] The server returns the acquired contract information to the terminal. The server formats the information and sends it to the terminal in the appropriate format.

[0556] Step 10:

[0557] The device displays the contract details it has received to the user. The device displays this information on the chat screen and tells the user, "Your current plan is the XX plan."

[0558] Step 11:

[0559] A user requests a new plan proposal. The user types "I'd like a new plan proposal" in the chat screen and presses the send button.

[0560] Step 12:

[0561] The device sends this request to the server. The device formats the user input as an API request and sends it to the server.

[0562] Step 13:

[0563] The server retrieves user usage history and contract information from the database. The server calls the database access module to retrieve the necessary information.

[0564] Step 14:

[0565] The server invokes the AI ​​module to select the optimal new plan. The server passes the acquired information to the AI ​​module, which then executes the plan recommendation algorithm.

[0566] Step 15:

[0567] The server formats the selected plan information and returns it to the terminal. The server then prepares the formatted plan information as a response.

[0568] Step 16:

[0569] The device displays the plan information it has received to the user. The device displays this information on the chat screen and says, "Our recommended plan is the XX plan. Its main features are..."

[0570] Step 17:

[0571] The user enters their question in free text format. The user enters their question in the chat screen and presses the send button.

[0572] Step 18:

[0573] The device sends this question to the server. The device formats the user input as an API request and sends it to the server.

[0574] Step 19:

[0575] The server passes the received question to the AI ​​chatbot module. The server then passes the question content to the AI ​​chatbot, which uses natural language processing technology to analyze the question.

[0576] Step 20:

[0577] The server formats the generated response and returns it to the terminal. The server formats the response from the AI ​​chatbot and returns it to the terminal as a response.

[0578] Step 21:

[0579] The device displays the received response to the user. The device displays this information on the chat screen and responds with, "This plan includes the following options: XX, YY, and ZZ."

[0580] The above outlines the specific processing steps of this system's program.

[0581] (Example 1)

[0582] 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."

[0583] Traditional contract plan management systems require users to visit stores and interact directly with staff, which is time-consuming and labor-intensive. Furthermore, obtaining appropriate and timely answers to user questions can be difficult, potentially degrading the user experience. Additionally, the system often fails to adequately propose the most suitable contract plan for each individual user. A system is needed to solve these problems and allow users to obtain contract information and new plan information more easily and quickly.

[0584] 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.

[0585] In this invention, the server includes means for acquiring user authentication information and performing authentication, means for acquiring contract information from users who have successfully authenticated, means for proposing an optimal new contract plan to the user based on the above contract information, means for analyzing text-based questions from the user and generating appropriate answers, means for analyzing questions from the user using a generative AI model, and means for generating appropriate answers using a generative AI model. As a result, users can check their contract information, receive proposals for optimal plans, and obtain quick and appropriate answers without having to visit a store.

[0586] "User authentication" is the process of verifying a user's identity using the user ID and password they enter when accessing a system.

[0587] "Contract information" refers to the collective data regarding the contract details, such as the plans and options that a user is currently subscribed to.

[0588] A "new contract plan" refers to a new contract plan proposed based on the user's current contract details and usage history.

[0589] A "text-based question" refers to a question that a user enters into the system using natural language.

[0590] "Analysis" is the process of information processing that involves understanding text data entered by a user and generating an appropriate response.

[0591] A "generative AI model" refers to a part of a system that uses artificial intelligence technology to analyze user input and generate appropriate answers or suggestions.

[0592] "Natural language processing technology" refers to the technology that enables computers to understand and process human natural language.

[0593] This invention provides a system that allows users to confirm their contract details and receive proposals for new plans without having to visit a store. This system is implemented by users accessing it using a terminal and communicating with a server.

[0594] First, the user enters their user ID and password on the terminal's login screen. The terminal sends the entered authentication information to the server. The server refers to the database and verifies the received authentication information to authenticate the user. If authentication is successful, the server proceeds to the next step.

[0595] Upon successful authentication, the server retrieves the user's contract information from the database and sends it to the terminal. The terminal displays the received contract information to the user, allowing the user to verify their contract details.

[0596] Next, if a user wants to be offered a new plan, they type "I'd like a new plan" in the chat screen and send it. The device sends this request to the server. The server invokes an AI module and selects the best new plan based on the user's usage history and current contract information. The server formats the information of the selected new plan and sends it to the device. The device displays this information to the user, allowing the user to receive a new plan offer.

[0597] Furthermore, users can enter questions in free text format. When a user enters a question in the chat screen and sends it, the device sends this question to the server. The server analyzes the received question using natural language processing technology and generates an appropriate answer using a generative AI model. This answer is sent to the device, which then displays the answer to the user. This allows users to obtain quick and accurate answers.

[0598] Hardware and software to be used

[0599] Hardware:

[0600] Devices: Smartphones, tablets, PCs

[0601] Server: Cloud server (example of conversion to a generic name)

[0602] software:

[0603] AI Modules: Machine learning frameworks (e.g., TensorFlow, PyTorch)

[0604] Database: Relational database management system (e.g., MySQL, PostgreSQL)

[0605] Specific examples and prompt statements

[0606] Example 1: Checking the current plan

[0607] User: Type "Tell me the current plan" and send.

[0608] Server: Retrieves the relevant plan information from the database and sends the message "Your current plan is the XX plan" to the device.

[0609] Terminal: Displays the received content to the user.

[0610] Prompt message

[0611] Please describe the program's response when a user types "Tell me the current plan."

[0612] Example 2: Proposal of a new plan

[0613] User: "I would like you to propose a new plan."

[0614] Server: Uses an AI module to analyze the optimal plan and sends a message to the terminal saying, "The recommended plan is the XX plan. Its main features are..."

[0615] Terminal: Displays received information to the user.

[0616] Prompt message

[0617] Please describe how the program should handle a user requesting a new plan.

[0618] Specific example 3: Questions about plan options

[0619] User: "What options are available with this plan?"

[0620] Server: Uses natural language processing technology to send a message to the terminal saying, "This plan includes options XX, YY, and ZZ."

[0621] Terminal: Displays the received response to the user.

[0622] Prompt message

[0623] Please describe how the program should respond when a user asks, "What options are available with this plan?"

[0624] As a result, the system of the present invention allows users to easily check contract information and receive proposals for new plans from home or while on the go. Furthermore, by using natural language processing technology, it becomes possible to respond quickly and appropriately to user inquiries.

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

[0626] Program processing flow

[0627] Step 1: Enter and submit user authentication information.

[0628] The user enters their user ID and password on the device's login screen.

[0629] Input: User ID, Password

[0630] The device sends the entered authentication information to the server.

[0631] Output: Authentication information sent to the server

[0632] Step 2: Verification of Authentication Information

[0633] The server refers to the database and verifies the received authentication information.

[0634] Input: Authentication information sent to the server

[0635] If the matching is successful, proceed to the next step. If it fails, an error message will be sent to the terminal.

[0636] Data processing: Retrieve user information from the database and compare it with authentication information.

[0637] Output: Matching result (success / failure)

[0638] Step 3: Obtaining contract information

[0639] If authentication is successful, the server retrieves the user's contract information from the database.

[0640] Input: User ID that successfully authenticated

[0641] The server sends the acquired contract information to the terminal.

[0642] Data processing: Query and retrieve contract information from the database.

[0643] Output: User contract information

[0644] Step 4: Displaying contract information

[0645] The terminal displays the received contract information to the user.

[0646] Input: Contract information (data sent from the server)

[0647] Specific action: The contract details will be displayed on the screen in a table format.

[0648] Output: Contract information displayed on the user screen

[0649] Step 5: Request a new plan proposal

[0650] The user types "I'd like you to propose a new plan" in the chat screen and sends it.

[0651] Input: Request for a new plan proposal

[0652] The device sends this request to the server.

[0653] Output: Request data sent to the server

[0654] Step 6: Selection of a new plan using the AI ​​module

[0655] The server invokes an AI module to select the optimal new plan based on the user's usage history and contract information.

[0656] Input: Usage history, contract information, request for new plan proposal

[0657] The server uses an AI module to analyze the data and select the optimal new plan.

[0658] Data processing: Data analysis using machine learning models

[0659] Output: Optimal new plan information

[0660] Step 7: Submit and display new plan information

[0661] The server formats the information of the selected new plan and sends it to the terminal.

[0662] Input: New plan information

[0663] The device displays this information to the user.

[0664] Specific action: Display the features and benefits of the new plan in a format that informs the user.

[0665] Output: New plan information displayed on the user screen

[0666] Step 8: Enter and submit the free text question.

[0667] Users enter and submit questions in free text format.

[0668] Input: User question text

[0669] The device sends this question to the server.

[0670] Output: Question text sent to the server

[0671] Step 9: Question analysis and answer generation

[0672] The server uses a generative AI model to analyze the received questions.

[0673] Input: User question text

[0674] Data processing: Analyze questions using natural language processing techniques.

[0675] The server generates the appropriate response.

[0676] Output: Generated answer text

[0677] Step 10: Submit and view your response

[0678] The server sends the generated response to the terminal.

[0679] Input: Generated response text

[0680] The device displays the received response to the user.

[0681] Specific action: Display the answer text on the screen.

[0682] Output: Answer text displayed on the user screen

[0683] This will allow users to easily check their contract information, receive proposals for new plans, and get quick and appropriate answers from home or on the go.

[0684] (Application Example 1)

[0685] 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."

[0686] Traditional systems required users to visit a store, which involved the cumbersome process of confirming contract details and receiving new contract proposals. Furthermore, it was difficult to receive immediate, optimal recommendations based on the user's usage history and spending patterns. There were also delays in responding to diverse user inquiries and difficulties in obtaining appropriate responses. To address these challenges, a system is needed that can easily and quickly meet user needs online.

[0687] 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.

[0688] In this invention, the server includes means for acquiring user authentication information and performing authentication, means for acquiring contract details information from authenticated users, means for proposing the most suitable new contract details to the user based on the above contract details information, means for analyzing free-text questions from the user and generating appropriate answers, and means for acquiring the user's past spending and usage history and proposing the most suitable spending plan and benefits based on that. As a result, users can check and receive proposals for their current and new contract details online without having to visit a store, and can immediately receive proposals for the most suitable plan and benefits based on their usage history. Furthermore, it becomes possible to answer free-text questions quickly and accurately.

[0689] "User authentication information" refers to information used to identify a user. Specifically, this includes user IDs and passwords.

[0690] "Contract details" refers to detailed information about the services or products that the user is currently subscribed to. This includes the type of contract, usage fees, and contract period.

[0691] "New contract details" refer to the proposed services or products that a user can enter into a new contract for. This includes new plans and options.

[0692] A "free-text question" refers to a question that the user enters in any format they choose. Specifically, it is a question that is entered in natural language without being bound by a particular format.

[0693] A "spending plan" is a budget and spending management plan proposed based on the user's past spending history.

[0694] "Benefits" refer to special services or advantages offered to users. Specifically, these include things like point rewards and discounts.

[0695] "Past spending and usage history" refers to the history of transactions and spending that a user has made in the past. This includes records of the amount spent and the services used.

[0696] "Natural language processing technology" refers to the technology that enables computers to understand, analyze, and generate human language. Specifically, it includes text analysis and speech recognition.

[0697] This invention provides a system that allows users to receive suggestions for optimal plans and benefits based on their contract details and spending history, without having to visit a store, and to obtain immediate answers to free-form questions. This system is implemented using a smartphone app, a server, a database, AI technology, and natural language processing technology.

[0698] Program generation

[0699] The program for this system is structured as follows:

[0700] Hardware and software to be used

[0701] Hardware: Smartphones, servers, database servers

[0702] software:

[0703] Smartphone app development environments (e.g., Android Studio, Xcode)

[0704] Server-side programming frameworks (e.g., Node.js, Python with Flask / Django)

[0705] Databases (e.g., MySQL, MongoDB)

[0706] AI modules (e.g., TensorFlow, GPT-4)

[0707] Natural language processing libraries (e.g., spaCy, NLTK)

[0708] Specific processing of the system

[0709] 1. User Authentication:

[0710] When logging into an app on a smartphone, the user enters their user ID and password. The user's authentication information is sent to the server, which authenticates the user by matching it against the database. If authentication is successful, the process proceeds to the next step.

[0711] 2. Obtaining contract details information:

[0712] For users who have successfully authenticated, the server retrieves the user's current contract information from the database. This information is sent to the user's smartphone and displayed to them.

[0713] 3. Proposal of new contract terms:

[0714] When a user requests new plans or benefits, a request is sent from the smartphone app to the server. The server uses an AI module to generate the most suitable plans and benefits based on the user's usage history and current contract information. This result is sent to the smartphone and displayed to the user.

[0715] 4. Proposed spending plan:

[0716] The server retrieves the user's past spending and usage history from a database and generates an optimal spending plan based on that data. This spending plan is designed to facilitate budget management and efficient use of benefits. The generated plan is sent to the user's smartphone and displayed to them.

[0717] 5. Question answering using natural language processing:

[0718] When a user enters a free-text question into a smartphone app and submits it, the question is sent to a server. The server analyzes the received question using natural language processing technology (such as spaCy or NLTK) and generates an appropriate answer. This answer is then sent to the smartphone and displayed to the user.

[0719] Examples of specific cases and prompt statements

[0720] As an example of a prompt, if a user types "Tell me my current spending status," this request is sent to the server. The server retrieves the spending status from the database and returns a specific response like the following:

[0721] User: "Tell me about your current spending habits."

[0722] Server: "Your current spending breakdown is ¥5,000 in Category A and ¥3,000 in Category B."

[0723] This system allows users to easily and quickly check their contract details and spending status without having to visit a store. Furthermore, they can receive suggestions for optimal plans and benefits based on their past usage history, and obtain instant and accurate answers to free-form questions using natural language processing technology.

[0724] The flow of a specific process in Application Example 1 will be explained using Figure 12.

[0725] Step 1:

[0726] The user enters their user ID and password to log in to the smartphone app.

[0727] Input: User ID, Password

[0728] Processing: The smartphone app sends the entered authentication information to the server.

[0729] Output: Authentication Request

[0730] Step 2:

[0731] The server attempts authentication by comparing the received user ID and password with the database.

[0732] Input: Authentication request, database user information

[0733] Processing: Retrieve the relevant user information from the database and compare it with the entered authentication information.

[0734] Output: Response indicating authentication success or failure.

[0735] Step 3:

[0736] After successful authentication, the server retrieves the user's current contract information from the database and sends it to the smartphone app.

[0737] Input: Authentication success response, database contract details

[0738] Processing: Retrieve user contract information from the database, format it, and send it to the smartphone app in JSON format.

[0739] Output: User contract information

[0740] Step 4:

[0741] Users can check their contract details on a smartphone app and enter requests for new plans or benefits.

[0742] Input: Request for proposal

[0743] Processing: The smartphone app sends the user's suggestion request to the server.

[0744] Output: Proposal Request

[0745] Step 5:

[0746] The server receives a proposal request and uses an AI module to generate the optimal plan and benefits based on the user's usage history and contract information.

[0747] Input: Proposal request, database usage history, contract details

[0748] Processing: The AI ​​module (e.g., GPT-4) is activated, user usage history and contract information are input as data, and the optimal plan and benefits are generated.

[0749] Output: Data suggesting the optimal plan and benefits.

[0750] Step 6:

[0751] The server sends the generated suggestion data to the smartphone app and displays it to the user.

[0752] Input: Proposed data

[0753] Processing: Format the proposed data and send it to the smartphone app in JSON format.

[0754] Output: Suggestions displayed to the user

[0755] Step 7:

[0756] Users enter and submit questions in free text format using a smartphone app.

[0757] Input: Free text question

[0758] Processing: The smartphone app sends the user's question to the server.

[0759] Output: Question Request

[0760] Step 8:

[0761] The server receives a question request, analyzes the question using natural language processing techniques, and generates an appropriate answer.

[0762] Input: Question Request

[0763] Processing: Analyze the question using a natural language processing library (e.g., spaCy, NLTK) and generate an appropriate answer.

[0764] Output: Response data

[0765] Step 9:

[0766] The server sends the generated response data to the smartphone app and displays it to the user.

[0767] Input: Response data

[0768] Processing: Format the response data and send it to the smartphone app in JSON format.

[0769] Output: The response content displayed to the user.

[0770] 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.

[0771] This invention provides a system that allows users to check, change, and receive suggestions for new plans and options without having to visit a store. This system is implemented by users accessing it via a terminal and communicating with a server. Furthermore, by incorporating an emotion engine that recognizes user emotions, it can provide more appropriate responses and suggestions.

[0772] First, when a user logs into the device, they enter their user ID and password. Once the user enters this information on the login screen and presses the submit button, the device sends this authentication information to the server. The server compares the received authentication information with the database, and if authentication is successful, proceeds to the next step. Upon successful authentication, the server retrieves the user's contract information from the database and sends this information to the device. The device displays this contract information to the user, allowing them to check their current plan and options.

[0773] Next, if the user wishes to be offered a new plan, they enter this information in the chat screen and send it. The device sends this request to the server, which activates an AI module to select the best new plan based on the user's usage history and current contract information. The server formats the information of the selected plan and sends it to the device. The device then displays this information to the user, for example, "Our recommended plan is the XX plan. Its main features are..."

[0774] Furthermore, users can also enter questions in free text format. When a user enters a question in the chat screen and sends it, the device sends this question to the server. The server passes the received question to the AI ​​chatbot module, which uses natural language processing technology to analyze the question and generate an appropriate answer. This answer is then sent to the device, which displays the answer to the user. For example, it might say, "This plan includes the following options: XX, YY, and ZZ," providing an immediate and accurate response to the user's question.

[0775] Furthermore, the present invention incorporates an emotion engine that recognizes the user's emotions. The emotion engine analyzes the emotional state from the text entered by the user on the chat screen. Based on this emotional state, the server can adjust the content of suggestions and responses. For example, if the user expresses dissatisfaction or questions, the server can prioritize providing more detailed information or giving a quick response to the user's requests.

[0776] For example, if a user types and sends "Tell me my current plan," the server retrieves the relevant plan information from the database and displays "Your current plan is the XX plan" on the device. If the user requests "Please suggest a new plan," the server uses an AI module to suggest the best plan and displays "Our recommended plan is the XX plan. Its main features are..." Furthermore, if the user asks "What options are available with this plan?", the server uses natural language processing technology to generate an answer and displays "This plan has the following options: XX, YY, and ZZ" on the device.

[0777] The emotion engine allows, for example, if a user inputs "I feel this plan is too expensive," the server uses the emotion engine to recognize the user's concern and generate a more appropriate response, such as alternative options, discount information, or a link to customer support. This enables responses that are well-versed in the user's emotional state, resulting in a more user-friendly system.

[0778] As described above, the present invention provides a system that allows users to efficiently acquire information on various contracts without having to visit a store, and to be proposed with the optimal plan, and also enables the system to provide the best response according to the user's emotional state through an emotion engine.

[0779] The following describes the processing flow.

[0780] Step 1:

[0781] The user enters their user ID and password into the terminal. The user enters this information on the login screen and presses the submit button.

[0782] Step 2:

[0783] The terminal sends the entered user ID and password to the server. The terminal generates and sends an API request to send the entered information to the server in a secure manner.

[0784] Step 3:

[0785] The server receives the authentication information and compares it with the database. The server then calls the database access module to verify the user ID and password.

[0786] Step 4:

[0787] The server returns the authentication result to the terminal. If authentication is successful, it returns a "Login successful" message and information on how to prepare for the next step. If authentication fails, it returns a "Login failed" message.

[0788] Step 5:

[0789] The device displays the authentication result to the user. Based on the received response, the device displays an appropriate message on the screen.

[0790] Step 6:

[0791] The user sends a request to check their current plan. After logging in, the user types "Tell me my current plan" in the chat screen and presses the send button.

[0792] Step 7:

[0793] The device sends this request to the server. The device formats the user input as an API request and sends it to the server.

[0794] Step 8:

[0795] The server retrieves the user's current contract information from the database. The server calls the database access module to retrieve the contract information.

[0796] Step 9:

[0797] The server returns the acquired contract information to the terminal. The server formats the information and sends it to the terminal in the appropriate format.

[0798] Step 10:

[0799] The device displays the contract details it has received to the user. The device displays this information on the chat screen and tells the user, "Your current plan is the XX plan."

[0800] Step 11:

[0801] A user requests a new plan proposal. The user types "I'd like a new plan proposal" in the chat screen and presses the send button.

[0802] Step 12:

[0803] The device sends this request to the server. The device formats the user input as an API request and sends it to the server.

[0804] Step 13:

[0805] The server retrieves user usage history and contract information from the database. The server calls the database access module to retrieve the necessary information.

[0806] Step 14:

[0807] The server invokes the AI ​​module to select the optimal new plan. The server passes the acquired information to the AI ​​module, which then executes the plan recommendation algorithm.

[0808] Step 15:

[0809] The server formats the selected plan information and returns it to the terminal. The server then prepares the formatted plan information as a response.

[0810] Step 16:

[0811] The device displays the plan information it has received to the user. The device displays this information on the chat screen and says, "Our recommended plan is the XX plan. Its main features are..."

[0812] Step 17:

[0813] The user enters their question in free text format. The user enters their question in the chat screen and presses the send button.

[0814] Step 18:

[0815] The device sends this question to the server. The device formats the user input as an API request and sends it to the server.

[0816] Step 19:

[0817] The server passes the received question to the AI ​​chatbot module. The server then passes the question content to the AI ​​chatbot, which uses natural language processing technology to analyze the question.

[0818] Step 20:

[0819] The server formats the generated response and returns it to the terminal. The server formats the response from the AI ​​chatbot and returns it to the terminal as a response.

[0820] Step 21:

[0821] The device displays the received response to the user. The device displays this information on the chat screen and responds with, "This plan includes the following options: XX, YY, and ZZ."

[0822] Step 22:

[0823] The emotion engine analyzes the emotional state of the user from the text they enter in the chat screen. The terminal sends the user's input data to the server, which then uses the emotion engine to perform the emotional analysis.

[0824] Step 23:

[0825] The server adjusts suggestions and responses based on the user's emotional state. For example, if it determines that the user is showing anxiety, the server will generate detailed explanations and reassuring suggestions.

[0826] Step 24:

[0827] The server generates the optimal response based on the sentiment analysis results and sends it to the terminal. The server then formats the response and returns it to the terminal as a response.

[0828] Step 25:

[0829] The device displays the response it receives to the user. The device then displays the appropriate response on the chat screen and takes appropriate action towards the user.

[0830] Step 26:

[0831] The user enters a new request or question, and the process restarts from step 6.

[0832] The above outlines the specific processing steps of this system's program.

[0833] (Example 2)

[0834] 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".

[0835] Traditional contract information verification systems had the drawback of requiring users to visit a physical store to check their contract details and receive changes or new proposals. Furthermore, responses to user inquiries were often not immediate or accurate, leading to a poor user experience. Additionally, the lack of consideration for user emotions made it difficult to improve user satisfaction. There is a need to address these issues and provide a more efficient and user-friendly system.

[0836] In Example 2, the identification processing performed by the identification processing unit 290 of the data processing device 12 is realized by the following means. In this invention, the server includes means for acquiring user authentication information and performing authentication, means for acquiring contract content information from users who have successfully been authenticated, means for proposing the optimal new contract content to the user based on the above contract content information, means for analyzing free-text format questions from the user and generating appropriate answers, and means for adjusting the content of proposals and responses using an emotion engine that analyzes the user's emotional state. As a result, users can confirm contract content and receive proposals for optimal plans without having to visit a store, and immediate and accurate answers to user questions can be provided. Furthermore, by using an emotion engine, appropriate responses based on the user's emotions become possible, realizing a user-friendly system.

[0837] "User authentication information" refers to information such as the ID and password that a user enters to access the system.

[0838] "Authentication" is the process of verifying whether a user is a legitimate user by using the user's authentication information entered.

[0839] "Contract details information" refers to detailed information about the plan and options that the user is currently subscribed to.

[0840] "New contract details" refers to information about new plans and options offered to the user.

[0841] A "free-text question" is a question written in natural language that the user enters in any format they choose.

[0842] "Natural language processing technology" is a technology that enables computers to understand and analyze human language.

[0843] An "appropriate answer" is a precise and meaningful response to a user's question.

[0844] An "emotion engine" is an algorithm or software that analyzes a user's emotional state from the text they input.

[0845] "Adjusting proposals and responses" is the process of optimizing the content and format of proposals and responses according to the user's emotional state.

[0846] A "server" is a central computer system that manages user authentication information and retrieves and proposes contract details, and answers questions.

[0847] A "device" refers to a device such as a smartphone or PC that is directly operated by the user.

[0848] Modes for carrying out the invention

[0849] This invention is a system that allows users to check their contract details and receive new plan proposals without having to visit a store. This system is primarily implemented through communication between a server and a terminal, and incorporates an emotion engine to provide more user-friendly responses.

[0850] Hardware and software to be used

[0851] This system uses the following hardware and software.

[0852] Server: Cloud service (e.g., Amazon Web Services, Microsoft Azure)

[0853] Devices: Smartphones, tablets, PCs

[0854] AI Modules: TensorFlow, PyTorch

[0855] Natural language processing technologies: BERT (Google), GPT (OpenAI)

[0856] System Operation Overview

[0857] Authentication process

[0858] First, the user accesses the system from their device and enters their user ID and password on the login screen. This information is sent from the device to the server. The server compares the received authentication information with the database, and if authentication is successful, proceeds to the next step. The database used in this step is a cloud-based database service that can securely manage user information.

[0859] Contract details

[0860] Upon successful authentication, the server retrieves the user's contract information from the database and sends it to the device. The device then displays this information to the user, allowing them to check their current plan and options.

[0861] Proposal for a new plan

[0862] If a user wishes to be offered a new plan, they enter their request in the chat screen and send it. Upon receiving the request from the terminal, the server activates an AI module and selects the most suitable new plan based on the user's usage history and current contract information. The server formats the information of the selected plan and sends it back to the terminal. For example, it might display something like, "Our recommended plan is the Silver Plan. Its main features are low cost and high-speed data communication."

[0863] Free text format question support

[0864] When a user enters a question into the system in free text format, the content is sent from the terminal to the server. The server passes the received question to an AI chatbot module, which uses natural language processing technology to analyze the question and generate an appropriate answer. This answer is then sent from the server to the terminal and displayed to the user. For example, the user can receive an immediate and accurate answer such as, "This plan has the following options: XX, YY, and ZZ."

[0865] Emotional Engine

[0866] Furthermore, this system incorporates an emotion engine that analyzes the emotional state of the user from the text they enter in the chat screen. Based on this analysis, the server adjusts the content of its suggestions and responses. For example, if a user enters text indicating dissatisfaction, the system will provide more detailed information and respond quickly to improve user satisfaction.

[0867] Specific example

[0868] Below are some specific examples of prompt statements.

[0869] 1. "Tell me about your current plans."

[0870] 2. "I'd like you to propose a new plan."

[0871] 3. "What options are available with this plan?"

[0872] 4. "I think this plan is too expensive."

[0873] By utilizing these prompts, users can quickly and efficiently obtain the necessary information and receive suggestions for the optimal plan. As described above, the present invention is a system that significantly improves user convenience.

[0874] The flow of the specific processing in Example 2 will be explained using Figure 13.

[0875] Step 1:

[0876] The user opens the login screen on their device and enters their user ID and password.

[0877] Input: User ID, Password

[0878] Action: The user enters "user123" and "password123" using the keyboard.

[0879] Output: The entered authentication information is temporarily stored on the device.

[0880] Step 2:

[0881] When the user presses the submit button, the device sends the entered authentication information to the server.

[0882] Input: User ID, Password

[0883] Action: Click the submit button. Authentication information is sent from the device to the server using the HTTPS protocol.

[0884] Output: Authentication information is transferred to the server.

[0885] Step 3:

[0886] The server performs authentication by comparing the received authentication information with the database.

[0887] Input: Authentication information sent to the server

[0888] Operation: The server executes a query and verifies that the user ID and password match.

[0889] Output: Authentication success or failure status.

[0890] Step 4:

[0891] If authentication is successful, the server retrieves the user's contract information from the database and sends it to the terminal.

[0892] Input: Authentication successful status

[0893] Operation: The server executes a database query based on the user ID to retrieve contract details. The retrieved information is converted to JSON format and sent to the terminal.

[0894] Output: Contract details in JSON format are sent to the terminal.

[0895] Step 5:

[0896] The terminal displays the contract details received from the server to the user.

[0897] Input: Contract details in JSON format

[0898] Operation: The device's UI analyzes the received information and displays it to the user in a visually easy-to-understand format.

[0899] Output: A display screen where the user can check their current contract details.

[0900] Step 6:

[0901] The user types and sends a message in the chat screen requesting a new plan proposal.

[0902] Input: Request in free text format

[0903] Action: The user types "I'd like you to propose a new plan" and clicks the send button. The chat message is sent from the device to the server.

[0904] Output: The submitted request message is forwarded to the server.

[0905] Step 7:

[0906] The server activates the AI ​​module and selects a new plan based on the user's usage history and current contract information.

[0907] Input: Request message, user history, current contract details

[0908] Operation: The server uses an AI module to analyze user data and select the optimal plan. The AI ​​module receives usage history and current contract details, and outputs a recommended plan.

[0909] Output: Information on the optimal plan.

[0910] Step 8:

[0911] The server formats the selected plan information and sends it to the terminal.

[0912] Input: Recommended plan information

[0913] Operation: The server formats the recommended plan information and converts it to JSON format. It then sends that information to the terminal.

[0914] Output: Plan information in JSON format.

[0915] Step 9:

[0916] The device displays the new plan information received from the server to the user.

[0917] Input: Plan information in JSON format

[0918] Operation: The device's UI analyzes the received information and displays it to the user in a visually easy-to-understand format.

[0919] Output: A display screen where the user can review the proposed plan.

[0920] Step 10:

[0921] The user enters their question in free text format into the chat screen and sends it.

[0922] Input: Free text question

[0923] Action: The user types "What options are available with this plan?" and clicks the submit button. The question is sent from the terminal to the server.

[0924] Output: The submitted question is forwarded to the server.

[0925] Step 11:

[0926] The server uses an AI chatbot module to analyze the question and generate an appropriate response.

[0927] Input: Free text question

[0928] Operation: The server passes the question to the chatbot module, which then analyzes the question using natural language processing technology. Based on the analysis results, it generates an answer.

[0929] Output: The generated answer.

[0930] Step 12:

[0931] The server sends the generated response to the terminal.

[0932] Input: Generated answer

[0933] Operation: The server converts the generated response into JSON format and sends it to the terminal.

[0934] Output: Answer in JSON format.

[0935] Step 13:

[0936] The terminal displays the response received from the server to the user.

[0937] Input: Answer in JSON format

[0938] Operation: The device's UI analyzes the received response and displays it to the user in a visually easy-to-understand format.

[0939] Output: A display screen where the user can see the answer to the question.

[0940] Step 14:

[0941] Users type and send messages that reflect their emotions in the chat screen.

[0942] Input: Free text message including emotions

[0943] Action: The user types "I think this plan is too expensive" and clicks the send button. The message is sent from the device to the server.

[0944] Output: The sent message is forwarded to the server.

[0945] Step 15:

[0946] The server uses an emotion engine to analyze the user's emotional state.

[0947] Input: Free text message including emotions

[0948] Operation: The server uses an emotion engine to analyze messages and recognize the user's emotional state.

[0949] Output: User's emotional state information.

[0950] Step 16:

[0951] The server adjusts the response based on the emotional state and sends it to the terminal.

[0952] Input: User's emotional state information

[0953] Operation: The server adjusts the content of suggestions and responses based on the emotional state, converts them to JSON format, and sends them to the terminal.

[0954] Output: Adjusted response content in JSON format.

[0955] Step 17:

[0956] The terminal displays the adjusted response received from the server to the user.

[0957] Input: Adjusted response content in JSON format

[0958] Operation: The device's UI analyzes the received response and displays it to the user in a visually easy-to-understand format.

[0959] Output: A display screen where the user can review the adjusted response.

[0960] The above outlines the specific processing steps of this system.

[0961] (Application Example 2)

[0962] 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."

[0963] Traditional contract management systems made it difficult for users to review, modify, or receive proposals for new plans without visiting a physical store. Furthermore, providing appropriate answers to user inquiries required significant human resources, often resulting in delays. Additionally, the inability to consider the user's emotional state in responses and suggestions frequently led to a poor user experience. These issues need to be resolved.

[0964] 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. In this invention, the server includes means for acquiring user authentication information and performing authentication, means for acquiring contract content information from users who have successfully been authenticated, means for proposing the most suitable new contract content to the user based on the above contract content information, means for analyzing free-text format questions from the user and generating appropriate answers, and means for analyzing the user's emotional state and adjusting the content of responses and proposals. As a result, users can check, change, and receive proposals for new plans without having to visit a store, and can also be provided with optimal proposals and responses according to their emotional state.

[0965] "User authentication information" refers to personal identification information such as IDs and passwords that users use when accessing the system.

[0966] "Contract details information" refers to the detailed information of the services and plans that the user has already contracted for.

[0967] "New contract details" refers to new contract plans or options proposed to the user based on their current contract details.

[0968] A "free-text question" refers to a question or inquiry that a user enters in any format they choose.

[0969] "Emotional state" refers to the emotional state analyzed by the emotion engine from the text entered by the user.

[0970] "Means for adjusting the content of responses and suggestions" refers to a mechanism in which the system adjusts the content of suggestions and responses to be most appropriate for the user based on the analyzed emotional state.

[0971] The system for implementing this invention allows users to use a smartphone to check and change contract details and receive proposals for new plans. The system has a function to analyze the user's emotional state and adjust the content of appropriate responses and proposals.

[0972] First, the user logs in to the application installed on their smartphone. The login screen requires a user ID and password, and this authentication information is sent to the server. The server compares the authentication information with a database, and if authentication is successful, it retrieves the user's contract information and sends it to the device.

[0973] Next, the device displays contract information to the user. If the user wishes to be offered a new plan, they enter a request in the chat screen and send it. This request is sent to the server, which activates a generating AI model to select the best new plan based on the user's usage history and current contract information. The information of the selected plan is formatted, sent to the device, and displayed to the user.

[0974] Users can also enter questions in free text format, which are sent to the server. The server analyzes the received questions using natural language processing techniques and generates appropriate answers. These answers are sent to the device and displayed to the user.

[0975] Furthermore, an emotion engine is incorporated to analyze the user's emotional state. The emotion engine analyzes the emotional state from the text entered by the user, and the server adjusts the content of suggestions and responses based on this emotional state. For example, if the user indicates dissatisfaction, the server will provide more detailed information or discount information.

[0976] The hardware and software to be used are as follows:

[0977] Hardware:

[0978] Smartphone (iOS or Android)

[0979] software:

[0980] Python

[0981] Flask (a small web framework for server communication)

[0982] AI models (e.g., Scikit-learn, TensorFlow, etc.)

[0983] Natural language processing models (e.g., BERT, GPT-3)

[0984] Emotional Engine

[0985] Examples of specific prompt messages:

[0986] Please authenticate with user ID '12345'.

[0987] If authentication is successful, please display the current plan for user '12345'.

[0988] If a user requests a new plan, please propose the most suitable plan.

[0989] If a user asks, "What options are available with this plan?", please provide information about the options.

[0990] If a user enters "I feel this plan is too expensive," perform sentiment analysis and provide alternative plans or discount information.

[0991] In this way, users can review and modify their contract details, receive proposals for new plans, and receive appropriate responses and suggestions based on their emotional state, all without having to visit a physical store.

[0992] The flow of a specific process in Application Example 2 will be explained using Figure 14.

[0993] Step 1:

[0994] A user logs into the application using their smartphone. They enter their user ID and password as input. The device sends this authentication information to the server. The server verifies it against the database, and if authentication is successful, sends a success message along with a token to the device to proceed to the next step. The output is either authentication success or failure.

[0995] Step 2:

[0996] If authentication is successful, the server retrieves the user's contract information from the database. The inputs are the token and user ID obtained in the previous step. Based on this, the server searches for the user's contract information and sends the formatted data to the terminal. The output is the contract information.

[0997] Step 3:

[0998] The terminal displays contract information sent from the server to the user. The user reviews their contract details and, if they wish to receive a new plan proposal, enters this information in the chat screen. This input is the user's request message. The terminal sends this request message to the server. The user's request is sent as output.

[0999] Step 4:

[1000] When the server receives a user request, it activates a generative AI model to select the optimal new plan based on the user's usage history and current contract information. The inputs are the user's request, usage history, and current contract information. The server performs data analysis using the AI ​​model, generates optimal plan information, and sends it to the terminal. The output is the optimal new plan information.

[1001] Step 5:

[1002] The terminal displays new plan information sent from the server to the user. If the user has any questions about the new plan, they can enter them in free text format. The input is the free text question entered by the user. The terminal sends this question to the server. As output, the user's question is sent back to the server.

[1003] Step 6:

[1004] The server receives free-text questions from users and analyzes them using natural language processing (NLP) techniques. The input is the question text from the user. The server uses an NLP model to analyze the question and generate an appropriate answer. The generated answer is sent to the terminal. The output is the appropriate answer.

[1005] Step 7:

[1006] The terminal displays the answer sent from the server to the user. It verifies whether the user's question has been answered satisfactorily. Furthermore, if the user enters an emotion, the terminal also sends that emotion text to the server. The input is the emotion text from the user. The terminal sends this emotion text to the server. As output, the emotion text is sent to the server.

[1007] Step 8:

[1008] The server receives the user's sentiment text, which is then analyzed by the sentiment engine. The input is the user's sentiment text. The server uses the sentiment engine to analyze the emotional state and adjust the content of appropriate responses and suggestions based on that analysis. The analysis results are sent to the terminal as adjusted suggestions and responses. The output is the adjusted responses and suggestions.

[1009] 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.

[1010] 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.

[1011] 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.

[1012] [Third Embodiment]

[1013] Figure 5 shows an example of the configuration of the data processing system 310 according to the third embodiment.

[1014] 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.

[1015] 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).

[1016] 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.

[1017] 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.

[1018] 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).

[1019] 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.

[1020] 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.

[1021] 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.

[1022] 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.

[1023] 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.

[1024] 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".

[1025] This invention provides a system that allows users to check their current plans and options, and receive proposals for new plans, without having to visit a store. This system is implemented by users accessing it using a terminal and communicating with a server.

[1026] First, when a user logs into the device, they enter their user ID and password. The device sends this authentication information to the server. The server compares the received authentication information with the database, and if authentication is successful, proceeds to the next step. Upon successful authentication, a mechanism for retrieving the user's contract information is activated. The server retrieves the user's current contract information from the database and sends it to the device. This information is displayed to the user on the device, allowing them to check their current plan and options.

[1027] Next, if the user wishes to be offered a new plan, they enter this request in the chat screen and send it. The device sends this request to the server, which invokes an AI module to select the best new plan based on the user's usage history and current contract information. The server formats the information of the selected plan and sends it to the device. The device then displays this information to the user. For example, it might display something like, "Our recommended plan is the XX plan. Its main features are..."

[1028] Furthermore, users can also enter questions in free text format. When a user enters a question in the chat screen and sends it, the device sends this question to the server. The server analyzes the received question using natural language processing technology and generates an appropriate answer. This answer is sent to the device, and the device displays the answer to the user. For example, it may say, "This plan has the following options: XX, YY, and ZZ," providing an immediate and accurate response to the user's question.

[1029] For example, if a user types and sends "Tell me my current plan," the server retrieves the relevant plan information from the database and displays "Your current plan is the XX plan" on the device. If the user requests "Please suggest a new plan," the server uses an AI module to suggest the best plan and displays "Our recommended plan is the XX plan. Its main features are..." Furthermore, if the user asks "What options are available with this plan?", the server uses natural language processing technology to generate an answer and displays "This plan has the following options: XX, YY, and ZZ" on the device.

[1030] As described above, the present invention provides a system that allows users to quickly obtain information on various plans and options and receive proposals for the most suitable new plans without having to visit a store.

[1031] The following describes the processing flow.

[1032] Step 1:

[1033] The user enters their user ID and password into the terminal. The user enters this information on the login screen and presses the submit button.

[1034] Step 2:

[1035] The terminal sends the entered user ID and password to the server. The terminal generates and sends an API request to send the entered information to the server in a secure manner.

[1036] Step 3:

[1037] The server receives the authentication information and compares it with the database. The server then calls the database access module to verify the user ID and password.

[1038] Step 4:

[1039] The server returns the authentication result to the terminal. If authentication is successful, it returns a "Login successful" message and information on how to prepare for the next step. If authentication fails, it returns a "Login failed" message.

[1040] Step 5:

[1041] The device displays the authentication result to the user. Based on the received response, the device displays an appropriate message on the screen.

[1042] Step 6:

[1043] The user sends a request to check their current plan. After logging in, the user types "Tell me my current plan" in the chat screen and presses the send button.

[1044] Step 7:

[1045] The device sends this request to the server. The device formats the user input as an API request and sends it to the server.

[1046] Step 8:

[1047] The server retrieves the user's current contract information from the database. The server calls the database access module to retrieve the contract information.

[1048] Step 9:

[1049] The server returns the acquired contract information to the terminal. The server formats the information and sends it to the terminal in the appropriate format.

[1050] Step 10:

[1051] The device displays the contract details it has received to the user. The device displays this information on the chat screen and tells the user, "Your current plan is the XX plan."

[1052] Step 11:

[1053] A user requests a new plan proposal. The user types "I'd like a new plan proposal" in the chat screen and presses the send button.

[1054] Step 12:

[1055] The device sends this request to the server. The device formats the user input as an API request and sends it to the server.

[1056] Step 13:

[1057] The server retrieves user usage history and contract information from the database. The server calls the database access module to retrieve the necessary information.

[1058] Step 14:

[1059] The server invokes the AI ​​module to select the optimal new plan. The server passes the acquired information to the AI ​​module, which then executes the plan recommendation algorithm.

[1060] Step 15:

[1061] The server formats the selected plan information and returns it to the terminal. The server then prepares the formatted plan information as a response.

[1062] Step 16:

[1063] The device displays the plan information it has received to the user. The device displays this information on the chat screen and says, "Our recommended plan is the XX plan. Its main features are..."

[1064] Step 17:

[1065] The user enters their question in free text format. The user enters their question in the chat screen and presses the send button.

[1066] Step 18:

[1067] The device sends this question to the server. The device formats the user input as an API request and sends it to the server.

[1068] Step 19:

[1069] The server passes the received question to the AI ​​chatbot module. The server then passes the question content to the AI ​​chatbot, which uses natural language processing technology to analyze the question.

[1070] Step 20:

[1071] The server formats the generated response and returns it to the terminal. The server formats the response from the AI ​​chatbot and returns it to the terminal as a response.

[1072] Step 21:

[1073] The device displays the received response to the user. The device displays this information on the chat screen and responds with, "This plan includes the following options: XX, YY, and ZZ."

[1074] The above outlines the specific processing steps of this system's program.

[1075] (Example 1)

[1076] 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."

[1077] Traditional contract plan management systems require users to visit stores and interact directly with staff, which is time-consuming and labor-intensive. Furthermore, obtaining appropriate and timely answers to user questions can be difficult, potentially degrading the user experience. Additionally, the system often fails to adequately propose the most suitable contract plan for each individual user. A system is needed to solve these problems and allow users to obtain contract information and new plan information more easily and quickly.

[1078] 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.

[1079] In this invention, the server includes means for acquiring user authentication information and performing authentication, means for acquiring contract information from users who have successfully authenticated, means for proposing an optimal new contract plan to the user based on the above contract information, means for analyzing text-based questions from the user and generating appropriate answers, means for analyzing questions from the user using a generative AI model, and means for generating appropriate answers using a generative AI model. As a result, users can check their contract information, receive proposals for optimal plans, and obtain quick and appropriate answers without having to visit a store.

[1080] "User authentication" is the process of verifying a user's identity using the user ID and password they enter when accessing a system.

[1081] "Contract information" refers to the collective data regarding the contract details, such as the plans and options that a user is currently subscribed to.

[1082] A "new contract plan" refers to a new contract plan proposed based on the user's current contract details and usage history.

[1083] A "text-based question" refers to a question that a user enters into the system using natural language.

[1084] "Analysis" is the process of information processing that involves understanding text data entered by a user and generating an appropriate response.

[1085] A "generative AI model" refers to a part of a system that uses artificial intelligence technology to analyze user input and generate appropriate answers or suggestions.

[1086] "Natural language processing technology" refers to the technology that enables computers to understand and process human natural language.

[1087] This invention provides a system that allows users to confirm their contract details and receive proposals for new plans without having to visit a store. This system is implemented by users accessing it using a terminal and communicating with a server.

[1088] First, the user enters their user ID and password on the terminal's login screen. The terminal sends the entered authentication information to the server. The server refers to the database and verifies the received authentication information to authenticate the user. If authentication is successful, the server proceeds to the next step.

[1089] Upon successful authentication, the server retrieves the user's contract information from the database and sends it to the terminal. The terminal displays the received contract information to the user, allowing the user to verify their contract details.

[1090] Next, if a user wants to be offered a new plan, they type "I'd like a new plan" in the chat screen and send it. The device sends this request to the server. The server invokes an AI module and selects the best new plan based on the user's usage history and current contract information. The server formats the information of the selected new plan and sends it to the device. The device displays this information to the user, allowing the user to receive a new plan offer.

[1091] Furthermore, users can enter questions in free text format. When a user enters a question in the chat screen and sends it, the device sends this question to the server. The server analyzes the received question using natural language processing technology and generates an appropriate answer using a generative AI model. This answer is sent to the device, which then displays the answer to the user. This allows users to obtain quick and accurate answers.

[1092] Hardware and software to be used

[1093] Hardware:

[1094] Devices: Smartphones, tablets, PCs

[1095] Server: Cloud server (example of conversion to a generic name)

[1096] software:

[1097] AI Modules: Machine learning frameworks (e.g., TensorFlow, PyTorch)

[1098] Database: Relational database management system (e.g., MySQL, PostgreSQL)

[1099] Specific examples and prompt statements

[1100] Example 1: Checking the current plan

[1101] User: Type "Tell me the current plan" and send.

[1102] Server: Retrieves the relevant plan information from the database and sends the message "Your current plan is the XX plan" to the device.

[1103] Terminal: Displays the received content to the user.

[1104] Prompt message

[1105] Please describe the program's response when a user types "Tell me the current plan."

[1106] Example 2: Proposal of a new plan

[1107] User: "I would like you to propose a new plan."

[1108] Server: Uses an AI module to analyze the optimal plan and sends a message to the terminal saying, "The recommended plan is the XX plan. Its main features are..."

[1109] Terminal: Displays received information to the user.

[1110] Prompt message

[1111] Please describe how the program should handle a user requesting a new plan.

[1112] Specific example 3: Questions about plan options

[1113] User: "What options are available with this plan?"

[1114] Server: Uses natural language processing technology to send a message to the terminal saying, "This plan includes options XX, YY, and ZZ."

[1115] Terminal: Displays the received response to the user.

[1116] Prompt message

[1117] Please describe how the program should respond when a user asks, "What options are available with this plan?"

[1118] As a result, the system of the present invention allows users to easily check contract information and receive proposals for new plans from home or while on the go. Furthermore, by using natural language processing technology, it becomes possible to respond quickly and appropriately to user inquiries.

[1119] The flow of the specific processing in Example 1 will be explained using Figure 11.

[1120] Program processing flow

[1121] Step 1: Enter and submit user authentication information.

[1122] The user enters their user ID and password on the device's login screen.

[1123] Input: User ID, Password

[1124] The device sends the entered authentication information to the server.

[1125] Output: Authentication information sent to the server

[1126] Step 2: Verification of Authentication Information

[1127] The server refers to the database and verifies the received authentication information.

[1128] Input: Authentication information sent to the server

[1129] If the matching is successful, proceed to the next step. If it fails, an error message will be sent to the terminal.

[1130] Data processing: Retrieve user information from the database and compare it with authentication information.

[1131] Output: Matching result (success / failure)

[1132] Step 3: Obtaining contract information

[1133] If authentication is successful, the server retrieves the user's contract information from the database.

[1134] Input: User ID that successfully authenticated

[1135] The server sends the acquired contract information to the terminal.

[1136] Data processing: Query and retrieve contract information from the database.

[1137] Output: User contract information

[1138] Step 4: Displaying contract information

[1139] The terminal displays the received contract information to the user.

[1140] Input: Contract information (data sent from the server)

[1141] Specific action: The contract details will be displayed on the screen in a table format.

[1142] Output: Contract information displayed on the user screen

[1143] Step 5: Request a new plan proposal

[1144] The user types "I'd like you to propose a new plan" in the chat screen and sends it.

[1145] Input: Request for a new plan proposal

[1146] The device sends this request to the server.

[1147] Output: Request data sent to the server

[1148] Step 6: Selection of a new plan using the AI ​​module

[1149] The server invokes an AI module to select the optimal new plan based on the user's usage history and contract information.

[1150] Input: Usage history, contract information, request for new plan proposal

[1151] The server uses an AI module to analyze the data and select the optimal new plan.

[1152] Data processing: Data analysis using machine learning models

[1153] Output: Optimal new plan information

[1154] Step 7: Submit and display new plan information

[1155] The server formats the information of the selected new plan and sends it to the terminal.

[1156] Input: New plan information

[1157] The device displays this information to the user.

[1158] Specific action: Display the features and benefits of the new plan in a format that informs the user.

[1159] Output: New plan information displayed on the user screen

[1160] Step 8: Enter and submit the free text question.

[1161] Users enter and submit questions in free text format.

[1162] Input: User question text

[1163] The device sends this question to the server.

[1164] Output: Question text sent to the server

[1165] Step 9: Question analysis and answer generation

[1166] The server uses a generative AI model to analyze the received questions.

[1167] Input: User question text

[1168] Data processing: Analyze questions using natural language processing techniques.

[1169] The server generates the appropriate response.

[1170] Output: Generated answer text

[1171] Step 10: Submit and view your response

[1172] The server sends the generated response to the terminal.

[1173] Input: Generated response text

[1174] The device displays the received response to the user.

[1175] Specific action: Display the answer text on the screen.

[1176] Output: Answer text displayed on the user screen

[1177] This will allow users to easily check their contract information, receive proposals for new plans, and get quick and appropriate answers from home or on the go.

[1178] (Application Example 1)

[1179] 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."

[1180] Traditional systems required users to visit a store, which involved the cumbersome process of confirming contract details and receiving new contract proposals. Furthermore, it was difficult to receive immediate, optimal recommendations based on the user's usage history and spending patterns. There were also delays in responding to diverse user inquiries and difficulties in obtaining appropriate responses. To address these challenges, a system is needed that can easily and quickly meet user needs online.

[1181] 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.

[1182] In this invention, the server includes means for acquiring user authentication information and performing authentication, means for acquiring contract details information from authenticated users, means for proposing the most suitable new contract details to the user based on the above contract details information, means for analyzing free-text questions from the user and generating appropriate answers, and means for acquiring the user's past spending and usage history and proposing the most suitable spending plan and benefits based on that. As a result, users can check and receive proposals for their current and new contract details online without having to visit a store, and can immediately receive proposals for the most suitable plan and benefits based on their usage history. Furthermore, it becomes possible to answer free-text questions quickly and accurately.

[1183] "User authentication information" refers to information used to identify a user. Specifically, this includes user IDs and passwords.

[1184] "Contract details" refers to detailed information about the services or products that the user is currently subscribed to. This includes the type of contract, usage fees, and contract period.

[1185] "New contract details" refer to the proposed services or products that a user can enter into a new contract for. This includes new plans and options.

[1186] A "free-text question" refers to a question that the user enters in any format they choose. Specifically, it is a question that is entered in natural language without being bound by a particular format.

[1187] A "spending plan" is a budget and spending management plan proposed based on the user's past spending history.

[1188] "Benefits" refer to special services or advantages offered to users. Specifically, these include things like point rewards and discounts.

[1189] "Past spending and usage history" refers to the history of transactions and spending that a user has made in the past. This includes records of the amount spent and the services used.

[1190] "Natural language processing technology" refers to the technology that enables computers to understand, analyze, and generate human language. Specifically, it includes text analysis and speech recognition.

[1191] This invention provides a system that allows users to receive suggestions for optimal plans and benefits based on their contract details and spending history, without having to visit a store, and to obtain immediate answers to free-form questions. This system is implemented using a smartphone app, a server, a database, AI technology, and natural language processing technology.

[1192] Program generation

[1193] The program for this system is structured as follows:

[1194] Hardware and software to be used

[1195] Hardware: Smartphones, servers, database servers

[1196] software:

[1197] Smartphone app development environments (e.g., Android Studio, Xcode)

[1198] Server-side programming frameworks (e.g., Node.js, Python with Flask / Django)

[1199] Databases (e.g., MySQL, MongoDB)

[1200] AI modules (e.g., TensorFlow, GPT-4)

[1201] Natural language processing libraries (e.g., spaCy, NLTK)

[1202] Specific processing of the system

[1203] 1. User Authentication:

[1204] When logging into an app on a smartphone, the user enters their user ID and password. The user's authentication information is sent to the server, which authenticates the user by matching it against the database. If authentication is successful, the process proceeds to the next step.

[1205] 2. Obtaining contract details information:

[1206] For users who have successfully authenticated, the server retrieves the user's current contract information from the database. This information is sent to the user's smartphone and displayed to them.

[1207] 3. Proposal of new contract terms:

[1208] When a user requests new plans or benefits, a request is sent from the smartphone app to the server. The server uses an AI module to generate the most suitable plans and benefits based on the user's usage history and current contract information. This result is sent to the smartphone and displayed to the user.

[1209] 4. Proposed spending plan:

[1210] The server retrieves the user's past spending and usage history from a database and generates an optimal spending plan based on that data. This spending plan is designed to facilitate budget management and efficient use of benefits. The generated plan is sent to the user's smartphone and displayed to them.

[1211] 5. Question answering using natural language processing:

[1212] When a user enters a free-text question into a smartphone app and submits it, the question is sent to a server. The server analyzes the received question using natural language processing technology (such as spaCy or NLTK) and generates an appropriate answer. This answer is then sent to the smartphone and displayed to the user.

[1213] Examples of specific cases and prompt statements

[1214] As an example of a prompt, if a user types "Tell me my current spending status," this request is sent to the server. The server retrieves the spending status from the database and returns a specific response like the following:

[1215] User: "Tell me about your current spending habits."

[1216] Server: "Your current spending breakdown is ¥5,000 in Category A and ¥3,000 in Category B."

[1217] This system allows users to easily and quickly check their contract details and spending status without having to visit a store. Furthermore, they can receive suggestions for optimal plans and benefits based on their past usage history, and obtain instant and accurate answers to free-form questions using natural language processing technology.

[1218] The flow of a specific process in Application Example 1 will be explained using Figure 12.

[1219] Step 1:

[1220] The user enters their user ID and password to log in to the smartphone app.

[1221] Input: User ID, Password

[1222] Processing: The smartphone app sends the entered authentication information to the server.

[1223] Output: Authentication Request

[1224] Step 2:

[1225] The server attempts authentication by comparing the received user ID and password with the database.

[1226] Input: Authentication request, database user information

[1227] Processing: Retrieve the relevant user information from the database and compare it with the entered authentication information.

[1228] Output: Response indicating authentication success or failure.

[1229] Step 3:

[1230] After successful authentication, the server retrieves the user's current contract information from the database and sends it to the smartphone app.

[1231] Input: Authentication success response, database contract details

[1232] Processing: Retrieve user contract information from the database, format it, and send it to the smartphone app in JSON format.

[1233] Output: User contract information

[1234] Step 4:

[1235] Users can check their contract details on a smartphone app and enter requests for new plans or benefits.

[1236] Input: Request for proposal

[1237] Processing: The smartphone app sends the user's suggestion request to the server.

[1238] Output: Proposal Request

[1239] Step 5:

[1240] The server receives a proposal request and uses an AI module to generate the optimal plan and benefits based on the user's usage history and contract information.

[1241] Input: Proposal request, database usage history, contract details

[1242] Processing: The AI ​​module (e.g., GPT-4) is activated, user usage history and contract information are input as data, and the optimal plan and benefits are generated.

[1243] Output: Data suggesting the optimal plan and benefits.

[1244] Step 6:

[1245] The server sends the generated suggestion data to the smartphone app and displays it to the user.

[1246] Input: Proposed data

[1247] Processing: Format the proposed data and send it to the smartphone app in JSON format.

[1248] Output: Suggestions displayed to the user

[1249] Step 7:

[1250] Users enter and submit questions in free text format using a smartphone app.

[1251] Input: Free text question

[1252] Processing: The smartphone app sends the user's question to the server.

[1253] Output: Question Request

[1254] Step 8:

[1255] The server receives a question request, analyzes the question using natural language processing techniques, and generates an appropriate answer.

[1256] Input: Question Request

[1257] Processing: Analyze the question using a natural language processing library (e.g., spaCy, NLTK) and generate an appropriate answer.

[1258] Output: Response data

[1259] Step 9:

[1260] The server sends the generated response data to the smartphone app and displays it to the user.

[1261] Input: Response data

[1262] Processing: Format the response data and send it to the smartphone app in JSON format.

[1263] Output: The response content displayed to the user.

[1264] 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.

[1265] This invention provides a system that allows users to check, change, and receive suggestions for new plans and options without having to visit a store. This system is implemented by users accessing it via a terminal and communicating with a server. Furthermore, by incorporating an emotion engine that recognizes user emotions, it can provide more appropriate responses and suggestions.

[1266] First, when a user logs into the device, they enter their user ID and password. Once the user enters this information on the login screen and presses the submit button, the device sends this authentication information to the server. The server compares the received authentication information with the database, and if authentication is successful, proceeds to the next step. Upon successful authentication, the server retrieves the user's contract information from the database and sends this information to the device. The device displays this contract information to the user, allowing them to check their current plan and options.

[1267] Next, if the user wishes to be offered a new plan, they enter this information in the chat screen and send it. The device sends this request to the server, which activates an AI module to select the best new plan based on the user's usage history and current contract information. The server formats the information of the selected plan and sends it to the device. The device then displays this information to the user, for example, "Our recommended plan is the XX plan. Its main features are..."

[1268] Furthermore, users can also enter questions in free text format. When a user enters a question in the chat screen and sends it, the device sends this question to the server. The server passes the received question to the AI ​​chatbot module, which uses natural language processing technology to analyze the question and generate an appropriate answer. This answer is then sent to the device, which displays the answer to the user. For example, it might say, "This plan includes the following options: XX, YY, and ZZ," providing an immediate and accurate response to the user's question.

[1269] Furthermore, the present invention incorporates an emotion engine that recognizes the user's emotions. The emotion engine analyzes the emotional state from the text entered by the user on the chat screen. Based on this emotional state, the server can adjust the content of suggestions and responses. For example, if the user expresses dissatisfaction or questions, the server can prioritize providing more detailed information or giving a quick response to the user's requests.

[1270] For example, if a user types and sends "Tell me my current plan," the server retrieves the relevant plan information from the database and displays "Your current plan is the XX plan" on the device. If the user requests "Please suggest a new plan," the server uses an AI module to suggest the best plan and displays "Our recommended plan is the XX plan. Its main features are..." Furthermore, if the user asks "What options are available with this plan?", the server uses natural language processing technology to generate an answer and displays "This plan has the following options: XX, YY, and ZZ" on the device.

[1271] The emotion engine allows, for example, if a user inputs "I feel this plan is too expensive," the server uses the emotion engine to recognize the user's concern and generate a more appropriate response, such as alternative options, discount information, or a link to customer support. This enables responses that are well-versed in the user's emotional state, resulting in a more user-friendly system.

[1272] As described above, the present invention provides a system that allows users to efficiently acquire information on various contracts without having to visit a store, and to be proposed with the optimal plan, and also enables the system to provide the best response according to the user's emotional state through an emotion engine.

[1273] The following describes the processing flow.

[1274] Step 1:

[1275] The user enters their user ID and password into the terminal. The user enters this information on the login screen and presses the submit button.

[1276] Step 2:

[1277] The terminal sends the entered user ID and password to the server. The terminal generates and sends an API request to send the entered information to the server in a secure manner.

[1278] Step 3:

[1279] The server receives the authentication information and compares it with the database. The server then calls the database access module to verify the user ID and password.

[1280] Step 4:

[1281] The server returns the authentication result to the terminal. If authentication is successful, it returns a "Login successful" message and information on how to prepare for the next step. If authentication fails, it returns a "Login failed" message.

[1282] Step 5:

[1283] The device displays the authentication result to the user. Based on the received response, the device displays an appropriate message on the screen.

[1284] Step 6:

[1285] The user sends a request to check their current plan. After logging in, the user types "Tell me my current plan" in the chat screen and presses the send button.

[1286] Step 7:

[1287] The device sends this request to the server. The device formats the user input as an API request and sends it to the server.

[1288] Step 8:

[1289] The server retrieves the user's current contract information from the database. The server calls the database access module to retrieve the contract information.

[1290] Step 9:

[1291] The server returns the acquired contract information to the terminal. The server formats the information and sends it to the terminal in the appropriate format.

[1292] Step 10:

[1293] The device displays the contract details it has received to the user. The device displays this information on the chat screen and tells the user, "Your current plan is the XX plan."

[1294] Step 11:

[1295] A user requests a new plan proposal. The user types "I'd like a new plan proposal" in the chat screen and presses the send button.

[1296] Step 12:

[1297] The device sends this request to the server. The device formats the user input as an API request and sends it to the server.

[1298] Step 13:

[1299] The server retrieves user usage history and contract information from the database. The server calls the database access module to retrieve the necessary information.

[1300] Step 14:

[1301] The server invokes the AI ​​module to select the optimal new plan. The server passes the acquired information to the AI ​​module, which then executes the plan recommendation algorithm.

[1302] Step 15:

[1303] The server formats the selected plan information and returns it to the terminal. The server then prepares the formatted plan information as a response.

[1304] Step 16:

[1305] The device displays the plan information it has received to the user. The device displays this information on the chat screen and says, "Our recommended plan is the XX plan. Its main features are..."

[1306] Step 17:

[1307] The user enters their question in free text format. The user enters their question in the chat screen and presses the send button.

[1308] Step 18:

[1309] The device sends this question to the server. The device formats the user input as an API request and sends it to the server.

[1310] Step 19:

[1311] The server passes the received question to the AI ​​chatbot module. The server then passes the question content to the AI ​​chatbot, which uses natural language processing technology to analyze the question.

[1312] Step 20:

[1313] The server formats the generated response and returns it to the terminal. The server formats the response from the AI ​​chatbot and returns it to the terminal as a response.

[1314] Step 21:

[1315] The device displays the received response to the user. The device displays this information on the chat screen and responds with, "This plan includes the following options: XX, YY, and ZZ."

[1316] Step 22:

[1317] The emotion engine analyzes the emotional state of the user from the text they enter in the chat screen. The terminal sends the user's input data to the server, which then uses the emotion engine to perform the emotional analysis.

[1318] Step 23:

[1319] The server adjusts suggestions and responses based on the user's emotional state. For example, if it determines that the user is showing anxiety, the server will generate detailed explanations and reassuring suggestions.

[1320] Step 24:

[1321] The server generates the optimal response based on the sentiment analysis results and sends it to the terminal. The server then formats the response and returns it to the terminal as a response.

[1322] Step 25:

[1323] The device displays the response it receives to the user. The device then displays the appropriate response on the chat screen and takes appropriate action towards the user.

[1324] Step 26:

[1325] The user enters a new request or question, and the process restarts from step 6.

[1326] The above outlines the specific processing steps of this system's program.

[1327] (Example 2)

[1328] 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."

[1329] Traditional contract information verification systems had the drawback of requiring users to visit a physical store to check their contract details and receive changes or new proposals. Furthermore, responses to user inquiries were often not immediate or accurate, leading to a poor user experience. Additionally, the lack of consideration for user emotions made it difficult to improve user satisfaction. There is a need to address these issues and provide a more efficient and user-friendly system.

[1330] In Example 2, the identification processing performed by the identification processing unit 290 of the data processing device 12 is realized by the following means. In this invention, the server includes means for acquiring user authentication information and performing authentication, means for acquiring contract content information from users who have successfully been authenticated, means for proposing the optimal new contract content to the user based on the above contract content information, means for analyzing free-text format questions from the user and generating appropriate answers, and means for adjusting the content of proposals and responses using an emotion engine that analyzes the user's emotional state. As a result, users can confirm contract content and receive proposals for optimal plans without having to visit a store, and immediate and accurate answers to user questions can be provided. Furthermore, by using an emotion engine, appropriate responses based on the user's emotions become possible, realizing a user-friendly system.

[1331] "User authentication information" refers to information such as the ID and password that a user enters to access the system.

[1332] "Authentication" is the process of verifying whether a user is a legitimate user by using the user's authentication information entered.

[1333] "Contract details information" refers to detailed information about the plan and options that the user is currently subscribed to.

[1334] "New contract details" refers to information about new plans and options offered to the user.

[1335] A "free-text question" is a question written in natural language that the user enters in any format they choose.

[1336] "Natural language processing technology" is a technology that enables computers to understand and analyze human language.

[1337] An "appropriate answer" is a precise and meaningful response to a user's question.

[1338] An "emotion engine" is an algorithm or software that analyzes a user's emotional state from the text they input.

[1339] "Adjusting proposals and responses" is the process of optimizing the content and format of proposals and responses according to the user's emotional state.

[1340] A "server" is a central computer system that manages user authentication information and retrieves and proposes contract details, and answers questions.

[1341] A "device" refers to a device such as a smartphone or PC that is directly operated by the user.

[1342] Modes for carrying out the invention

[1343] This invention is a system that allows users to check their contract details and receive new plan proposals without having to visit a store. This system is primarily implemented through communication between a server and a terminal, and incorporates an emotion engine to provide more user-friendly responses.

[1344] Hardware and software to be used

[1345] This system uses the following hardware and software.

[1346] Server: Cloud service (e.g., Amazon Web Services, Microsoft Azure)

[1347] Devices: Smartphones, tablets, PCs

[1348] AI Modules: TensorFlow, PyTorch

[1349] Natural language processing technologies: BERT (Google), GPT (OpenAI)

[1350] System Operation Overview

[1351] Authentication process

[1352] First, the user accesses the system from their device and enters their user ID and password on the login screen. This information is sent from the device to the server. The server compares the received authentication information with the database, and if authentication is successful, proceeds to the next step. The database used in this step is a cloud-based database service that can securely manage user information.

[1353] Contract details

[1354] Upon successful authentication, the server retrieves the user's contract information from the database and sends it to the device. The device then displays this information to the user, allowing them to check their current plan and options.

[1355] Proposal for a new plan

[1356] If a user wishes to be offered a new plan, they enter their request in the chat screen and send it. Upon receiving the request from the terminal, the server activates an AI module and selects the most suitable new plan based on the user's usage history and current contract information. The server formats the information of the selected plan and sends it back to the terminal. For example, it might display something like, "Our recommended plan is the Silver Plan. Its main features are low cost and high-speed data communication."

[1357] Free text format question support

[1358] When a user enters a question into the system in free text format, the content is sent from the terminal to the server. The server passes the received question to an AI chatbot module, which uses natural language processing technology to analyze the question and generate an appropriate answer. This answer is then sent from the server to the terminal and displayed to the user. For example, the user can receive an immediate and accurate answer such as, "This plan has the following options: XX, YY, and ZZ."

[1359] Emotional Engine

[1360] Furthermore, this system incorporates an emotion engine that analyzes the emotional state of the user from the text they enter in the chat screen. Based on this analysis, the server adjusts the content of its suggestions and responses. For example, if a user enters text indicating dissatisfaction, the system will provide more detailed information and respond quickly to improve user satisfaction.

[1361] Specific example

[1362] Below are some specific examples of prompt statements.

[1363] 1. "Tell me about your current plans."

[1364] 2. "I'd like you to propose a new plan."

[1365] 3. "What options are available with this plan?"

[1366] 4. "I think this plan is too expensive."

[1367] By utilizing these prompts, users can quickly and efficiently obtain the necessary information and receive suggestions for the optimal plan. As described above, the present invention is a system that significantly improves user convenience.

[1368] The flow of the specific processing in Example 2 will be explained using Figure 13.

[1369] Step 1:

[1370] The user opens the login screen on their device and enters their user ID and password.

[1371] Input: User ID, Password

[1372] Action: The user enters "user123" and "password123" using the keyboard.

[1373] Output: The entered authentication information is temporarily stored on the device.

[1374] Step 2:

[1375] When the user presses the submit button, the device sends the entered authentication information to the server.

[1376] Input: User ID, Password

[1377] Action: Click the submit button. Authentication information is sent from the device to the server using the HTTPS protocol.

[1378] Output: Authentication information is transferred to the server.

[1379] Step 3:

[1380] The server performs authentication by comparing the received authentication information with the database.

[1381] Input: Authentication information sent to the server

[1382] Operation: The server executes a query and verifies that the user ID and password match.

[1383] Output: Authentication success or failure status.

[1384] Step 4:

[1385] If authentication is successful, the server retrieves the user's contract information from the database and sends it to the terminal.

[1386] Input: Authentication successful status

[1387] Operation: The server executes a database query based on the user ID to retrieve contract details. The retrieved information is converted to JSON format and sent to the terminal.

[1388] Output: Contract details in JSON format are sent to the terminal.

[1389] Step 5:

[1390] The terminal displays the contract details received from the server to the user.

[1391] Input: Contract details in JSON format

[1392] Operation: The device's UI analyzes the received information and displays it to the user in a visually easy-to-understand format.

[1393] Output: A display screen where the user can check their current contract details.

[1394] Step 6:

[1395] The user types and sends a message in the chat screen requesting a new plan proposal.

[1396] Input: Request in free text format

[1397] Action: The user types "I'd like you to propose a new plan" and clicks the send button. The chat message is sent from the device to the server.

[1398] Output: The submitted request message is forwarded to the server.

[1399] Step 7:

[1400] The server activates the AI ​​module and selects a new plan based on the user's usage history and current contract information.

[1401] Input: Request message, user history, current contract details

[1402] Operation: The server uses an AI module to analyze user data and select the optimal plan. The AI ​​module receives usage history and current contract details, and outputs a recommended plan.

[1403] Output: Information on the optimal plan.

[1404] Step 8:

[1405] The server formats the selected plan information and sends it to the terminal.

[1406] Input: Recommended plan information

[1407] Operation: The server formats the recommended plan information and converts it to JSON format. It then sends that information to the terminal.

[1408] Output: Plan information in JSON format.

[1409] Step 9:

[1410] The device displays the new plan information received from the server to the user.

[1411] Input: Plan information in JSON format

[1412] Operation: The device's UI analyzes the received information and displays it to the user in a visually easy-to-understand format.

[1413] Output: A display screen where the user can review the proposed plan.

[1414] Step 10:

[1415] The user enters their question in free text format into the chat screen and sends it.

[1416] Input: Free text question

[1417] Action: The user types "What options are available with this plan?" and clicks the submit button. The question is sent from the terminal to the server.

[1418] Output: The submitted question is forwarded to the server.

[1419] Step 11:

[1420] The server uses an AI chatbot module to analyze the question and generate an appropriate response.

[1421] Input: Free text question

[1422] Operation: The server passes the question to the chatbot module, which then analyzes the question using natural language processing technology. Based on the analysis results, it generates an answer.

[1423] Output: The generated answer.

[1424] Step 12:

[1425] The server sends the generated response to the terminal.

[1426] Input: Generated answer

[1427] Operation: The server converts the generated response into JSON format and sends it to the terminal.

[1428] Output: Answer in JSON format.

[1429] Step 13:

[1430] The terminal displays the response received from the server to the user.

[1431] Input: Answer in JSON format

[1432] Operation: The device's UI analyzes the received response and displays it to the user in a visually easy-to-understand format.

[1433] Output: A display screen where the user can see the answer to the question.

[1434] Step 14:

[1435] Users type and send messages that reflect their emotions in the chat screen.

[1436] Input: Free text message including emotions

[1437] Action: The user types "I think this plan is too expensive" and clicks the send button. The message is sent from the device to the server.

[1438] Output: The sent message is forwarded to the server.

[1439] Step 15:

[1440] The server uses an emotion engine to analyze the user's emotional state.

[1441] Input: Free text message including emotions

[1442] Operation: The server uses an emotion engine to analyze messages and recognize the user's emotional state.

[1443] Output: User's emotional state information.

[1444] Step 16:

[1445] The server adjusts the response based on the emotional state and sends it to the terminal.

[1446] Input: User's emotional state information

[1447] Operation: The server adjusts the content of suggestions and responses based on the emotional state, converts them to JSON format, and sends them to the terminal.

[1448] Output: Adjusted response content in JSON format.

[1449] Step 17:

[1450] The terminal displays the adjusted response received from the server to the user.

[1451] Input: Adjusted response content in JSON format

[1452] Operation: The device's UI analyzes the received response and displays it to the user in a visually easy-to-understand format.

[1453] Output: A display screen where the user can review the adjusted response.

[1454] The above outlines the specific processing steps of this system.

[1455] (Application Example 2)

[1456] 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."

[1457] Traditional contract management systems made it difficult for users to review, modify, or receive proposals for new plans without visiting a physical store. Furthermore, providing appropriate answers to user inquiries required significant human resources, often resulting in delays. Additionally, the inability to consider the user's emotional state in responses and suggestions frequently led to a poor user experience. These issues need to be resolved.

[1458] 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. In this invention, the server includes means for acquiring user authentication information and performing authentication, means for acquiring contract content information from users who have successfully been authenticated, means for proposing the most suitable new contract content to the user based on the above contract content information, means for analyzing free-text format questions from the user and generating appropriate answers, and means for analyzing the user's emotional state and adjusting the content of responses and proposals. As a result, users can check, change, and receive proposals for new plans without having to visit a store, and can also be provided with optimal proposals and responses according to their emotional state.

[1459] "User authentication information" refers to personal identification information such as IDs and passwords that users use when accessing the system.

[1460] "Contract details information" refers to the detailed information of the services and plans that the user has already contracted for.

[1461] "New contract details" refers to new contract plans or options proposed to the user based on their current contract details.

[1462] A "free-text question" refers to a question or inquiry that a user enters in any format they choose.

[1463] "Emotional state" refers to the emotional state analyzed by the emotion engine from the text entered by the user.

[1464] "Means for adjusting the content of responses and suggestions" refers to a mechanism in which the system adjusts the content of suggestions and responses to be most appropriate for the user based on the analyzed emotional state.

[1465] The system for implementing this invention allows users to use a smartphone to check and change contract details and receive proposals for new plans. The system has a function to analyze the user's emotional state and adjust the content of appropriate responses and proposals.

[1466] First, the user logs in to the application installed on their smartphone. The login screen requires a user ID and password, and this authentication information is sent to the server. The server compares the authentication information with a database, and if authentication is successful, it retrieves the user's contract information and sends it to the device.

[1467] Next, the device displays contract information to the user. If the user wishes to be offered a new plan, they enter a request in the chat screen and send it. This request is sent to the server, which activates a generating AI model to select the best new plan based on the user's usage history and current contract information. The information of the selected plan is formatted, sent to the device, and displayed to the user.

[1468] Users can also enter questions in free text format, which are sent to the server. The server analyzes the received questions using natural language processing techniques and generates appropriate answers. These answers are sent to the device and displayed to the user.

[1469] Furthermore, an emotion engine is incorporated to analyze the user's emotional state. The emotion engine analyzes the emotional state from the text entered by the user, and the server adjusts the content of suggestions and responses based on this emotional state. For example, if the user indicates dissatisfaction, the server will provide more detailed information or discount information.

[1470] The hardware and software to be used are as follows:

[1471] Hardware:

[1472] Smartphone (iOS or Android)

[1473] software:

[1474] Python

[1475] Flask (a small web framework for server communication)

[1476] AI models (e.g., Scikit-learn, TensorFlow, etc.)

[1477] Natural language processing models (e.g., BERT, GPT-3)

[1478] Emotional Engine

[1479] Examples of specific prompt messages:

[1480] Please authenticate with user ID '12345'.

[1481] If authentication is successful, please display the current plan for user '12345'.

[1482] If a user requests a new plan, please propose the most suitable plan.

[1483] If a user asks, "What options are available with this plan?", please provide information about the options.

[1484] If a user enters "I feel this plan is too expensive," perform sentiment analysis and provide alternative plans or discount information.

[1485] In this way, users can review and modify their contract details, receive proposals for new plans, and receive appropriate responses and suggestions based on their emotional state, all without having to visit a physical store.

[1486] The flow of a specific process in Application Example 2 will be explained using Figure 14.

[1487] Step 1:

[1488] A user logs into the application using their smartphone. They enter their user ID and password as input. The device sends this authentication information to the server. The server verifies it against the database, and if authentication is successful, sends a success message along with a token to the device to proceed to the next step. The output is either authentication success or failure.

[1489] Step 2:

[1490] If authentication is successful, the server retrieves the user's contract information from the database. The inputs are the token and user ID obtained in the previous step. Based on this, the server searches for the user's contract information and sends the formatted data to the terminal. The output is the contract information.

[1491] Step 3:

[1492] The terminal displays contract information sent from the server to the user. The user reviews their contract details and, if they wish to receive a new plan proposal, enters this information in the chat screen. This input is the user's request message. The terminal sends this request message to the server. The user's request is sent as output.

[1493] Step 4:

[1494] When the server receives a user request, it activates a generative AI model to select the optimal new plan based on the user's usage history and current contract information. The inputs are the user's request, usage history, and current contract information. The server performs data analysis using the AI ​​model, generates optimal plan information, and sends it to the terminal. The output is the optimal new plan information.

[1495] Step 5:

[1496] The terminal displays new plan information sent from the server to the user. If the user has any questions about the new plan, they can enter them in free text format. The input is the free text question entered by the user. The terminal sends this question to the server. As output, the user's question is sent back to the server.

[1497] Step 6:

[1498] The server receives free-text questions from users and analyzes them using natural language processing (NLP) techniques. The input is the question text from the user. The server uses an NLP model to analyze the question and generate an appropriate answer. The generated answer is sent to the terminal. The output is the appropriate answer.

[1499] Step 7:

[1500] The terminal displays the answer sent from the server to the user. It verifies whether the user's question has been answered satisfactorily. Furthermore, if the user enters an emotion, the terminal also sends that emotion text to the server. The input is the emotion text from the user. The terminal sends this emotion text to the server. As output, the emotion text is sent to the server.

[1501] Step 8:

[1502] The server receives the user's sentiment text, which is then analyzed by the sentiment engine. The input is the user's sentiment text. The server uses the sentiment engine to analyze the emotional state and adjust the content of appropriate responses and suggestions based on that analysis. The analysis results are sent to the terminal as adjusted suggestions and responses. The output is the adjusted responses and suggestions.

[1503] 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.

[1504] 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.

[1505] 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.

[1506] [Fourth Embodiment]

[1507] Figure 7 shows an example of the configuration of the data processing system 410 according to the fourth embodiment.

[1508] 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.

[1509] 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).

[1510] 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.

[1511] 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.

[1512] 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).

[1513] 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.

[1514] 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.

[1515] 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.

[1516] 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.

[1517] 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.

[1518] 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.

[1519] 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".

[1520] This invention provides a system that allows users to check their current plans and options, and receive proposals for new plans, without having to visit a store. This system is implemented by users accessing it using a terminal and communicating with a server.

[1521] First, when a user logs into the device, they enter their user ID and password. The device sends this authentication information to the server. The server compares the received authentication information with the database, and if authentication is successful, proceeds to the next step. Upon successful authentication, a mechanism for retrieving the user's contract information is activated. The server retrieves the user's current contract information from the database and sends it to the device. This information is displayed to the user on the device, allowing them to check their current plan and options.

[1522] Next, if the user wishes to be offered a new plan, they enter this request in the chat screen and send it. The device sends this request to the server, which invokes an AI module to select the best new plan based on the user's usage history and current contract information. The server formats the information of the selected plan and sends it to the device. The device then displays this information to the user. For example, it might display something like, "Our recommended plan is the XX plan. Its main features are..."

[1523] Furthermore, users can also enter questions in free text format. When a user enters a question in the chat screen and sends it, the device sends this question to the server. The server analyzes the received question using natural language processing technology and generates an appropriate answer. This answer is sent to the device, and the device displays the answer to the user. For example, it may say, "This plan has the following options: XX, YY, and ZZ," providing an immediate and accurate response to the user's question.

[1524] For example, if a user types and sends "Tell me my current plan," the server retrieves the relevant plan information from the database and displays "Your current plan is the XX plan" on the device. If the user requests "Please suggest a new plan," the server uses an AI module to suggest the best plan and displays "Our recommended plan is the XX plan. Its main features are..." Furthermore, if the user asks "What options are available with this plan?", the server uses natural language processing technology to generate an answer and displays "This plan has the following options: XX, YY, and ZZ" on the device.

[1525] As described above, the present invention provides a system that allows users to quickly obtain information on various plans and options and receive proposals for the most suitable new plans without having to visit a store.

[1526] The following describes the processing flow.

[1527] Step 1:

[1528] The user enters their user ID and password into the terminal. The user enters this information on the login screen and presses the submit button.

[1529] Step 2:

[1530] The terminal sends the entered user ID and password to the server. The terminal generates and sends an API request to send the entered information to the server in a secure manner.

[1531] Step 3:

[1532] The server receives the authentication information and compares it with the database. The server then calls the database access module to verify the user ID and password.

[1533] Step 4:

[1534] The server returns the authentication result to the terminal. If authentication is successful, it returns a "Login successful" message and information on how to prepare for the next step. If authentication fails, it returns a "Login failed" message.

[1535] Step 5:

[1536] The device displays the authentication result to the user. Based on the received response, the device displays an appropriate message on the screen.

[1537] Step 6:

[1538] The user sends a request to check their current plan. After logging in, the user types "Tell me my current plan" in the chat screen and presses the send button.

[1539] Step 7:

[1540] The device sends this request to the server. The device formats the user input as an API request and sends it to the server.

[1541] Step 8:

[1542] The server retrieves the user's current contract information from the database. The server calls the database access module to retrieve the contract information.

[1543] Step 9:

[1544] The server returns the acquired contract information to the terminal. The server formats the information and sends it to the terminal in the appropriate format.

[1545] Step 10:

[1546] The device displays the contract details it has received to the user. The device displays this information on the chat screen and tells the user, "Your current plan is the XX plan."

[1547] Step 11:

[1548] A user requests a new plan proposal. The user types "I'd like a new plan proposal" in the chat screen and presses the send button.

[1549] Step 12:

[1550] The device sends this request to the server. The device formats the user input as an API request and sends it to the server.

[1551] Step 13:

[1552] The server retrieves user usage history and contract information from the database. The server calls the database access module to retrieve the necessary information.

[1553] Step 14:

[1554] The server invokes the AI ​​module to select the optimal new plan. The server passes the acquired information to the AI ​​module, which then executes the plan recommendation algorithm.

[1555] Step 15:

[1556] The server formats the selected plan information and returns it to the terminal. The server then prepares the formatted plan information as a response.

[1557] Step 16:

[1558] The device displays the plan information it has received to the user. The device displays this information on the chat screen and says, "Our recommended plan is the XX plan. Its main features are..."

[1559] Step 17:

[1560] The user enters their question in free text format. The user enters their question in the chat screen and presses the send button.

[1561] Step 18:

[1562] The device sends this question to the server. The device formats the user input as an API request and sends it to the server.

[1563] Step 19:

[1564] The server passes the received question to the AI ​​chatbot module. The server then passes the question content to the AI ​​chatbot, which uses natural language processing technology to analyze the question.

[1565] Step 20:

[1566] The server formats the generated response and returns it to the terminal. The server formats the response from the AI ​​chatbot and returns it to the terminal as a response.

[1567] Step 21:

[1568] The device displays the received response to the user. The device displays this information on the chat screen and responds with, "This plan includes the following options: XX, YY, and ZZ."

[1569] The above outlines the specific processing steps of this system's program.

[1570] (Example 1)

[1571] 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".

[1572] Traditional contract plan management systems require users to visit stores and interact directly with staff, which is time-consuming and labor-intensive. Furthermore, obtaining appropriate and timely answers to user questions can be difficult, potentially degrading the user experience. Additionally, the system often fails to adequately propose the most suitable contract plan for each individual user. A system is needed to solve these problems and allow users to obtain contract information and new plan information more easily and quickly.

[1573] 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.

[1574] In this invention, the server includes means for acquiring user authentication information and performing authentication, means for acquiring contract information from users who have successfully authenticated, means for proposing an optimal new contract plan to the user based on the above contract information, means for analyzing text-based questions from the user and generating appropriate answers, means for analyzing questions from the user using a generative AI model, and means for generating appropriate answers using a generative AI model. As a result, users can check their contract information, receive proposals for optimal plans, and obtain quick and appropriate answers without having to visit a store.

[1575] "User authentication" is the process of verifying a user's identity using the user ID and password they enter when accessing a system.

[1576] "Contract information" refers to the collective data regarding the contract details, such as the plans and options that a user is currently subscribed to.

[1577] A "new contract plan" refers to a new contract plan proposed based on the user's current contract details and usage history.

[1578] A "text-based question" refers to a question that a user enters into the system using natural language.

[1579] "Analysis" is the process of information processing that involves understanding text data entered by a user and generating an appropriate response.

[1580] A "generative AI model" refers to a part of a system that uses artificial intelligence technology to analyze user input and generate appropriate answers or suggestions.

[1581] "Natural language processing technology" refers to the technology that enables computers to understand and process human natural language.

[1582] This invention provides a system that allows users to confirm their contract details and receive proposals for new plans without having to visit a store. This system is implemented by users accessing it using a terminal and communicating with a server.

[1583] First, the user enters their user ID and password on the terminal's login screen. The terminal sends the entered authentication information to the server. The server refers to the database and verifies the received authentication information to authenticate the user. If authentication is successful, the server proceeds to the next step.

[1584] Upon successful authentication, the server retrieves the user's contract information from the database and sends it to the terminal. The terminal displays the received contract information to the user, allowing the user to verify their contract details.

[1585] Next, if a user wants to be offered a new plan, they type "I'd like a new plan" in the chat screen and send it. The device sends this request to the server. The server invokes an AI module and selects the best new plan based on the user's usage history and current contract information. The server formats the information of the selected new plan and sends it to the device. The device displays this information to the user, allowing the user to receive a new plan offer.

[1586] Furthermore, users can enter questions in free text format. When a user enters a question in the chat screen and sends it, the device sends this question to the server. The server analyzes the received question using natural language processing technology and generates an appropriate answer using a generative AI model. This answer is sent to the device, which then displays the answer to the user. This allows users to obtain quick and accurate answers.

[1587] Hardware and software to be used

[1588] Hardware:

[1589] Devices: Smartphones, tablets, PCs

[1590] Server: Cloud server (example of conversion to a generic name)

[1591] software:

[1592] AI Modules: Machine learning frameworks (e.g., TensorFlow, PyTorch)

[1593] Database: Relational database management system (e.g., MySQL, PostgreSQL)

[1594] Specific examples and prompt statements

[1595] Example 1: Checking the current plan

[1596] User: Type "Tell me the current plan" and send.

[1597] Server: Retrieves the relevant plan information from the database and sends the message "Your current plan is the XX plan" to the device.

[1598] Terminal: Displays the received content to the user.

[1599] Prompt message

[1600] Please describe the program's response when a user types "Tell me the current plan."

[1601] Example 2: Proposal of a new plan

[1602] User: "I would like you to propose a new plan."

[1603] Server: Uses an AI module to analyze the optimal plan and sends a message to the terminal saying, "The recommended plan is the XX plan. Its main features are..."

[1604] Terminal: Displays received information to the user.

[1605] Prompt message

[1606] Please describe how the program should handle a user requesting a new plan.

[1607] Specific example 3: Questions about plan options

[1608] User: "What options are available with this plan?"

[1609] Server: Uses natural language processing technology to send a message to the terminal saying, "This plan includes options XX, YY, and ZZ."

[1610] Terminal: Displays the received response to the user.

[1611] Prompt message

[1612] Please describe how the program should respond when a user asks, "What options are available with this plan?"

[1613] As a result, the system of the present invention allows users to easily check contract information and receive proposals for new plans from home or while on the go. Furthermore, by using natural language processing technology, it becomes possible to respond quickly and appropriately to user inquiries.

[1614] The flow of the specific processing in Example 1 will be explained using Figure 11.

[1615] Program processing flow

[1616] Step 1: Enter and submit user authentication information.

[1617] The user enters their user ID and password on the device's login screen.

[1618] Input: User ID, Password

[1619] The device sends the entered authentication information to the server.

[1620] Output: Authentication information sent to the server

[1621] Step 2: Verification of Authentication Information

[1622] The server refers to the database and verifies the received authentication information.

[1623] Input: Authentication information sent to the server

[1624] If the matching is successful, proceed to the next step. If it fails, an error message will be sent to the terminal.

[1625] Data processing: Retrieve user information from the database and compare it with authentication information.

[1626] Output: Matching result (success / failure)

[1627] Step 3: Obtaining contract information

[1628] If authentication is successful, the server retrieves the user's contract information from the database.

[1629] Input: User ID that successfully authenticated

[1630] The server sends the acquired contract information to the terminal.

[1631] Data processing: Query and retrieve contract information from the database.

[1632] Output: User contract information

[1633] Step 4: Displaying contract information

[1634] The terminal displays the received contract information to the user.

[1635] Input: Contract information (data sent from the server)

[1636] Specific action: The contract details will be displayed on the screen in a table format.

[1637] Output: Contract information displayed on the user screen

[1638] Step 5: Request a new plan proposal

[1639] The user types "I'd like you to propose a new plan" in the chat screen and sends it.

[1640] Input: Request for a new plan proposal

[1641] The device sends this request to the server.

[1642] Output: Request data sent to the server

[1643] Step 6: Selection of a new plan using the AI ​​module

[1644] The server invokes an AI module to select the optimal new plan based on the user's usage history and contract information.

[1645] Input: Usage history, contract information, request for new plan proposal

[1646] The server uses an AI module to analyze the data and select the optimal new plan.

[1647] Data processing: Data analysis using machine learning models

[1648] Output: Optimal new plan information

[1649] Step 7: Submit and display new plan information

[1650] The server formats the information of the selected new plan and sends it to the terminal.

[1651] Input: New plan information

[1652] The device displays this information to the user.

[1653] Specific action: Display the features and benefits of the new plan in a format that informs the user.

[1654] Output: New plan information displayed on the user screen

[1655] Step 8: Enter and submit the free text question.

[1656] Users enter and submit questions in free text format.

[1657] Input: User question text

[1658] The device sends this question to the server.

[1659] Output: Question text sent to the server

[1660] Step 9: Question analysis and answer generation

[1661] The server uses a generative AI model to analyze the received questions.

[1662] Input: User question text

[1663] Data processing: Analyze questions using natural language processing techniques.

[1664] The server generates the appropriate response.

[1665] Output: Generated answer text

[1666] Step 10: Submit and view your response

[1667] The server sends the generated response to the terminal.

[1668] Input: Generated response text

[1669] The device displays the received response to the user.

[1670] Specific action: Display the answer text on the screen.

[1671] Output: Answer text displayed on the user screen

[1672] This will allow users to easily check their contract information, receive proposals for new plans, and get quick and appropriate answers from home or on the go.

[1673] (Application Example 1)

[1674] 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".

[1675] Traditional systems required users to visit a store, which involved the cumbersome process of confirming contract details and receiving new contract proposals. Furthermore, it was difficult to receive immediate, optimal recommendations based on the user's usage history and spending patterns. There were also delays in responding to diverse user inquiries and difficulties in obtaining appropriate responses. To address these challenges, a system is needed that can easily and quickly meet user needs online.

[1676] 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.

[1677] In this invention, the server includes means for acquiring user authentication information and performing authentication, means for acquiring contract details information from authenticated users, means for proposing the most suitable new contract details to the user based on the above contract details information, means for analyzing free-text questions from the user and generating appropriate answers, and means for acquiring the user's past spending and usage history and proposing the most suitable spending plan and benefits based on that. As a result, users can check and receive proposals for their current and new contract details online without having to visit a store, and can immediately receive proposals for the most suitable plan and benefits based on their usage history. Furthermore, it becomes possible to answer free-text questions quickly and accurately.

[1678] "User authentication information" refers to information used to identify a user. Specifically, this includes user IDs and passwords.

[1679] "Contract details" refers to detailed information about the services or products that the user is currently subscribed to. This includes the type of contract, usage fees, and contract period.

[1680] "New contract details" refer to the proposed services or products that a user can enter into a new contract for. This includes new plans and options.

[1681] A "free-text question" refers to a question that the user enters in any format they choose. Specifically, it is a question that is entered in natural language without being bound by a particular format.

[1682] A "spending plan" is a budget and spending management plan proposed based on the user's past spending history.

[1683] "Benefits" refer to special services or advantages offered to users. Specifically, these include things like point rewards and discounts.

[1684] "Past spending and usage history" refers to the history of transactions and spending that a user has made in the past. This includes records of the amount spent and the services used.

[1685] "Natural language processing technology" refers to the technology that enables computers to understand, analyze, and generate human language. Specifically, it includes text analysis and speech recognition.

[1686] This invention provides a system that allows users to receive suggestions for optimal plans and benefits based on their contract details and spending history, without having to visit a store, and to obtain immediate answers to free-form questions. This system is implemented using a smartphone app, a server, a database, AI technology, and natural language processing technology.

[1687] Program generation

[1688] The program for this system is structured as follows:

[1689] Hardware and software to be used

[1690] Hardware: Smartphones, servers, database servers

[1691] software:

[1692] Smartphone app development environments (e.g., Android Studio, Xcode)

[1693] Server-side programming frameworks (e.g., Node.js, Python with Flask / Django)

[1694] Databases (e.g., MySQL, MongoDB)

[1695] AI modules (e.g., TensorFlow, GPT-4)

[1696] Natural language processing libraries (e.g., spaCy, NLTK)

[1697] Specific processing of the system

[1698] 1. User Authentication:

[1699] When logging into an app on a smartphone, the user enters their user ID and password. The user's authentication information is sent to the server, which authenticates the user by matching it against the database. If authentication is successful, the process proceeds to the next step.

[1700] 2. Obtaining contract details information:

[1701] For users who have successfully authenticated, the server retrieves the user's current contract information from the database. This information is sent to the user's smartphone and displayed to them.

[1702] 3. Proposal of new contract terms:

[1703] When a user requests new plans or benefits, a request is sent from the smartphone app to the server. The server uses an AI module to generate the most suitable plans and benefits based on the user's usage history and current contract information. This result is sent to the smartphone and displayed to the user.

[1704] 4. Proposed spending plan:

[1705] The server retrieves the user's past spending and usage history from a database and generates an optimal spending plan based on that data. This spending plan is designed to facilitate budget management and efficient use of benefits. The generated plan is sent to the user's smartphone and displayed to them.

[1706] 5. Question answering using natural language processing:

[1707] When a user enters a free-text question into a smartphone app and submits it, the question is sent to a server. The server analyzes the received question using natural language processing technology (such as spaCy or NLTK) and generates an appropriate answer. This answer is then sent to the smartphone and displayed to the user.

[1708] Examples of specific cases and prompt statements

[1709] As an example of a prompt, if a user types "Tell me my current spending status," this request is sent to the server. The server retrieves the spending status from the database and returns a specific response like the following:

[1710] User: "Tell me about your current spending habits."

[1711] Server: "Your current spending breakdown is ¥5,000 in Category A and ¥3,000 in Category B."

[1712] This system allows users to easily and quickly check their contract details and spending status without having to visit a store. Furthermore, they can receive suggestions for optimal plans and benefits based on their past usage history, and obtain instant and accurate answers to free-form questions using natural language processing technology.

[1713] The flow of a specific process in Application Example 1 will be explained using Figure 12.

[1714] Step 1:

[1715] The user enters their user ID and password to log in to the smartphone app.

[1716] Input: User ID, Password

[1717] Processing: The smartphone app sends the entered authentication information to the server.

[1718] Output: Authentication Request

[1719] Step 2:

[1720] The server attempts authentication by comparing the received user ID and password with the database.

[1721] Input: Authentication request, database user information

[1722] Processing: Retrieve the relevant user information from the database and compare it with the entered authentication information.

[1723] Output: Response indicating authentication success or failure.

[1724] Step 3:

[1725] After successful authentication, the server retrieves the user's current contract information from the database and sends it to the smartphone app.

[1726] Input: Authentication success response, database contract details

[1727] Processing: Retrieve user contract information from the database, format it, and send it to the smartphone app in JSON format.

[1728] Output: User contract information

[1729] Step 4:

[1730] Users can check their contract details on a smartphone app and enter requests for new plans or benefits.

[1731] Input: Request for proposal

[1732] Processing: The smartphone app sends the user's suggestion request to the server.

[1733] Output: Proposal Request

[1734] Step 5:

[1735] The server receives a proposal request and uses an AI module to generate the optimal plan and benefits based on the user's usage history and contract information.

[1736] Input: Proposal request, database usage history, contract details

[1737] Processing: The AI ​​module (e.g., GPT-4) is activated, user usage history and contract information are input as data, and the optimal plan and benefits are generated.

[1738] Output: Data suggesting the optimal plan and benefits.

[1739] Step 6:

[1740] The server sends the generated suggestion data to the smartphone app and displays it to the user.

[1741] Input: Proposed data

[1742] Processing: Format the proposed data and send it to the smartphone app in JSON format.

[1743] Output: Suggestions displayed to the user

[1744] Step 7:

[1745] Users enter and submit questions in free text format using a smartphone app.

[1746] Input: Free text question

[1747] Processing: The smartphone app sends the user's question to the server.

[1748] Output: Question Request

[1749] Step 8:

[1750] The server receives a question request, analyzes the question using natural language processing techniques, and generates an appropriate answer.

[1751] Input: Question Request

[1752] Processing: Analyze the question using a natural language processing library (e.g., spaCy, NLTK) and generate an appropriate answer.

[1753] Output: Response data

[1754] Step 9:

[1755] The server sends the generated response data to the smartphone app and displays it to the user.

[1756] Input: Response data

[1757] Processing: Format the response data and send it to the smartphone app in JSON format.

[1758] Output: The response content displayed to the user.

[1759] 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.

[1760] This invention provides a system that allows users to check, change, and receive suggestions for new plans and options without having to visit a store. This system is implemented by users accessing it via a terminal and communicating with a server. Furthermore, by incorporating an emotion engine that recognizes user emotions, it can provide more appropriate responses and suggestions.

[1761] First, when a user logs into the device, they enter their user ID and password. Once the user enters this information on the login screen and presses the submit button, the device sends this authentication information to the server. The server compares the received authentication information with the database, and if authentication is successful, proceeds to the next step. Upon successful authentication, the server retrieves the user's contract information from the database and sends this information to the device. The device displays this contract information to the user, allowing them to check their current plan and options.

[1762] Next, if the user wishes to be offered a new plan, they enter this information in the chat screen and send it. The device sends this request to the server, which activates an AI module to select the best new plan based on the user's usage history and current contract information. The server formats the information of the selected plan and sends it to the device. The device then displays this information to the user, for example, "Our recommended plan is the XX plan. Its main features are..."

[1763] Furthermore, users can also enter questions in free text format. When a user enters a question in the chat screen and sends it, the device sends this question to the server. The server passes the received question to the AI ​​chatbot module, which uses natural language processing technology to analyze the question and generate an appropriate answer. This answer is then sent to the device, which displays the answer to the user. For example, it might say, "This plan includes the following options: XX, YY, and ZZ," providing an immediate and accurate response to the user's question.

[1764] Furthermore, the present invention incorporates an emotion engine that recognizes the user's emotions. The emotion engine analyzes the emotional state from the text entered by the user on the chat screen. Based on this emotional state, the server can adjust the content of suggestions and responses. For example, if the user expresses dissatisfaction or questions, the server can prioritize providing more detailed information or giving a quick response to the user's requests.

[1765] For example, if a user types and sends "Tell me my current plan," the server retrieves the relevant plan information from the database and displays "Your current plan is the XX plan" on the device. If the user requests "Please suggest a new plan," the server uses an AI module to suggest the best plan and displays "Our recommended plan is the XX plan. Its main features are..." Furthermore, if the user asks "What options are available with this plan?", the server uses natural language processing technology to generate an answer and displays "This plan has the following options: XX, YY, and ZZ" on the device.

[1766] The emotion engine allows, for example, if a user inputs "I feel this plan is too expensive," the server uses the emotion engine to recognize the user's concern and generate a more appropriate response, such as alternative options, discount information, or a link to customer support. This enables responses that are well-versed in the user's emotional state, resulting in a more user-friendly system.

[1767] As described above, the present invention provides a system that allows users to efficiently acquire information on various contracts without having to visit a store, and to be proposed with the optimal plan, and also enables the system to provide the best response according to the user's emotional state through an emotion engine.

[1768] The following describes the processing flow.

[1769] Step 1:

[1770] The user enters their user ID and password into the terminal. The user enters this information on the login screen and presses the submit button.

[1771] Step 2:

[1772] The terminal sends the entered user ID and password to the server. The terminal generates and sends an API request to send the entered information to the server in a secure manner.

[1773] Step 3:

[1774] The server receives the authentication information and compares it with the database. The server then calls the database access module to verify the user ID and password.

[1775] Step 4:

[1776] The server returns the authentication result to the terminal. If authentication is successful, it returns a "Login successful" message and information on how to prepare for the next step. If authentication fails, it returns a "Login failed" message.

[1777] Step 5:

[1778] The device displays the authentication result to the user. Based on the received response, the device displays an appropriate message on the screen.

[1779] Step 6:

[1780] The user sends a request to check their current plan. After logging in, the user types "Tell me my current plan" in the chat screen and presses the send button.

[1781] Step 7:

[1782] The device sends this request to the server. The device formats the user input as an API request and sends it to the server.

[1783] Step 8:

[1784] The server retrieves the user's current contract information from the database. The server calls the database access module to retrieve the contract information.

[1785] Step 9:

[1786] The server returns the acquired contract information to the terminal. The server formats the information and sends it to the terminal in the appropriate format.

[1787] Step 10:

[1788] The device displays the contract details it has received to the user. The device displays this information on the chat screen and tells the user, "Your current plan is the XX plan."

[1789] Step 11:

[1790] A user requests a new plan proposal. The user types "I'd like a new plan proposal" in the chat screen and presses the send button.

[1791] Step 12:

[1792] The device sends this request to the server. The device formats the user input as an API request and sends it to the server.

[1793] Step 13:

[1794] The server retrieves user usage history and contract information from the database. The server calls the database access module to retrieve the necessary information.

[1795] Step 14:

[1796] The server invokes the AI ​​module to select the optimal new plan. The server passes the acquired information to the AI ​​module, which then executes the plan recommendation algorithm.

[1797] Step 15:

[1798] The server formats the selected plan information and returns it to the terminal. The server then prepares the formatted plan information as a response.

[1799] Step 16:

[1800] The device displays the plan information it has received to the user. The device displays this information on the chat screen and says, "Our recommended plan is the XX plan. Its main features are..."

[1801] Step 17:

[1802] The user enters their question in free text format. The user enters their question in the chat screen and presses the send button.

[1803] Step 18:

[1804] The device sends this question to the server. The device formats the user input as an API request and sends it to the server.

[1805] Step 19:

[1806] The server passes the received question to the AI ​​chatbot module. The server then passes the question content to the AI ​​chatbot, which uses natural language processing technology to analyze the question.

[1807] Step 20:

[1808] The server formats the generated response and returns it to the terminal. The server formats the response from the AI ​​chatbot and returns it to the terminal as a response.

[1809] Step 21:

[1810] The device displays the received response to the user. The device displays this information on the chat screen and responds with, "This plan includes the following options: XX, YY, and ZZ."

[1811] Step 22:

[1812] The emotion engine analyzes the emotional state of the user from the text they enter in the chat screen. The terminal sends the user's input data to the server, which then uses the emotion engine to perform the emotional analysis.

[1813] Step 23:

[1814] The server adjusts suggestions and responses based on the user's emotional state. For example, if it determines that the user is showing anxiety, the server will generate detailed explanations and reassuring suggestions.

[1815] Step 24:

[1816] The server generates the optimal response based on the sentiment analysis results and sends it to the terminal. The server then formats the response and returns it to the terminal as a response.

[1817] Step 25:

[1818] The device displays the response it receives to the user. The device then displays the appropriate response on the chat screen and takes appropriate action towards the user.

[1819] Step 26:

[1820] The user enters a new request or question, and the process restarts from step 6.

[1821] The above outlines the specific processing steps of this system's program.

[1822] (Example 2)

[1823] 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".

[1824] Traditional contract information verification systems had the drawback of requiring users to visit a physical store to check their contract details and receive changes or new proposals. Furthermore, responses to user inquiries were often not immediate or accurate, leading to a poor user experience. Additionally, the lack of consideration for user emotions made it difficult to improve user satisfaction. There is a need to address these issues and provide a more efficient and user-friendly system.

[1825] In Example 2, the identification processing performed by the identification processing unit 290 of the data processing device 12 is realized by the following means. In this invention, the server includes means for acquiring user authentication information and performing authentication, means for acquiring contract content information from users who have successfully been authenticated, means for proposing the optimal new contract content to the user based on the above contract content information, means for analyzing free-text format questions from the user and generating appropriate answers, and means for adjusting the content of proposals and responses using an emotion engine that analyzes the user's emotional state. As a result, users can confirm contract content and receive proposals for optimal plans without having to visit a store, and immediate and accurate answers to user questions can be provided. Furthermore, by using an emotion engine, appropriate responses based on the user's emotions become possible, realizing a user-friendly system.

[1826] "User authentication information" refers to information such as the ID and password that a user enters to access the system.

[1827] "Authentication" is the process of verifying whether a user is a legitimate user by using the user's authentication information entered.

[1828] "Contract details information" refers to detailed information about the plan and options that the user is currently subscribed to.

[1829] "New contract details" refers to information about new plans and options offered to the user.

[1830] A "free-text question" is a question written in natural language that the user enters in any format they choose.

[1831] "Natural language processing technology" is a technology that enables computers to understand and analyze human language.

[1832] An "appropriate answer" is a precise and meaningful response to a user's question.

[1833] An "emotion engine" is an algorithm or software that analyzes a user's emotional state from the text they input.

[1834] "Adjusting proposals and responses" is the process of optimizing the content and format of proposals and responses according to the user's emotional state.

[1835] A "server" is a central computer system that manages user authentication information and retrieves and proposes contract details, and answers questions.

[1836] A "device" refers to a device such as a smartphone or PC that is directly operated by the user.

[1837] Modes for carrying out the invention

[1838] This invention is a system that allows users to check their contract details and receive new plan proposals without having to visit a store. This system is primarily implemented through communication between a server and a terminal, and incorporates an emotion engine to provide more user-friendly responses.

[1839] Hardware and software to be used

[1840] This system uses the following hardware and software.

[1841] Server: Cloud service (e.g., Amazon Web Services, Microsoft Azure)

[1842] Devices: Smartphones, tablets, PCs

[1843] AI Modules: TensorFlow, PyTorch

[1844] Natural language processing technologies: BERT (Google), GPT (OpenAI)

[1845] System Operation Overview

[1846] Authentication process

[1847] First, the user accesses the system from their device and enters their user ID and password on the login screen. This information is sent from the device to the server. The server compares the received authentication information with the database, and if authentication is successful, proceeds to the next step. The database used in this step is a cloud-based database service that can securely manage user information.

[1848] Contract details

[1849] Upon successful authentication, the server retrieves the user's contract information from the database and sends it to the device. The device then displays this information to the user, allowing them to check their current plan and options.

[1850] Proposal for a new plan

[1851] If a user wishes to be offered a new plan, they enter their request in the chat screen and send it. Upon receiving the request from the terminal, the server activates an AI module and selects the most suitable new plan based on the user's usage history and current contract information. The server formats the information of the selected plan and sends it back to the terminal. For example, it might display something like, "Our recommended plan is the Silver Plan. Its main features are low cost and high-speed data communication."

[1852] Free text format question support

[1853] When a user enters a question into the system in free text format, the content is sent from the terminal to the server. The server passes the received question to an AI chatbot module, which uses natural language processing technology to analyze the question and generate an appropriate answer. This answer is then sent from the server to the terminal and displayed to the user. For example, the user can receive an immediate and accurate answer such as, "This plan has the following options: XX, YY, and ZZ."

[1854] Emotional Engine

[1855] Furthermore, this system incorporates an emotion engine that analyzes the emotional state of the user from the text they enter in the chat screen. Based on this analysis, the server adjusts the content of its suggestions and responses. For example, if a user enters text indicating dissatisfaction, the system will provide more detailed information and respond quickly to improve user satisfaction.

[1856] Specific example

[1857] Below are some specific examples of prompt statements.

[1858] 1. "Tell me about your current plans."

[1859] 2. "I'd like you to propose a new plan."

[1860] 3. "What options are available with this plan?"

[1861] 4. "I think this plan is too expensive."

[1862] By utilizing these prompts, users can quickly and efficiently obtain the necessary information and receive suggestions for the optimal plan. As described above, the present invention is a system that significantly improves user convenience.

[1863] The flow of the specific processing in Example 2 will be explained using Figure 13.

[1864] Step 1:

[1865] The user opens the login screen on their device and enters their user ID and password.

[1866] Input: User ID, Password

[1867] Action: The user enters "user123" and "password123" using the keyboard.

[1868] Output: The entered authentication information is temporarily stored on the device.

[1869] Step 2:

[1870] When the user presses the submit button, the device sends the entered authentication information to the server.

[1871] Input: User ID, Password

[1872] Action: Click the submit button. Authentication information is sent from the device to the server using the HTTPS protocol.

[1873] Output: Authentication information is transferred to the server.

[1874] Step 3:

[1875] The server performs authentication by comparing the received authentication information with the database.

[1876] Input: Authentication information sent to the server

[1877] Operation: The server executes a query and verifies that the user ID and password match.

[1878] Output: Authentication success or failure status.

[1879] Step 4:

[1880] If authentication is successful, the server retrieves the user's contract information from the database and sends it to the terminal.

[1881] Input: Authentication successful status

[1882] Operation: The server executes a database query based on the user ID to retrieve contract details. The retrieved information is converted to JSON format and sent to the terminal.

[1883] Output: Contract details in JSON format are sent to the terminal.

[1884] Step 5:

[1885] The terminal displays the contract details received from the server to the user.

[1886] Input: Contract details in JSON format

[1887] Operation: The device's UI analyzes the received information and displays it to the user in a visually easy-to-understand format.

[1888] Output: A display screen where the user can check their current contract details.

[1889] Step 6:

[1890] The user types and sends a message in the chat screen requesting a new plan proposal.

[1891] Input: Request in free text format

[1892] Action: The user types "I'd like you to propose a new plan" and clicks the send button. The chat message is sent from the device to the server.

[1893] Output: The submitted request message is forwarded to the server.

[1894] Step 7:

[1895] The server activates the AI ​​module and selects a new plan based on the user's usage history and current contract information.

[1896] Input: Request message, user history, current contract details

[1897] Operation: The server uses an AI module to analyze user data and select the optimal plan. The AI ​​module receives usage history and current contract details, and outputs a recommended plan.

[1898] Output: Information on the optimal plan.

[1899] Step 8:

[1900] The server formats the selected plan information and sends it to the terminal.

[1901] Input: Recommended plan information

[1902] Operation: The server formats the recommended plan information and converts it to JSON format. It then sends that information to the terminal.

[1903] Output: Plan information in JSON format.

[1904] Step 9:

[1905] The device displays the new plan information received from the server to the user.

[1906] Input: Plan information in JSON format

[1907] Operation: The device's UI analyzes the received information and displays it to the user in a visually easy-to-understand format.

[1908] Output: A display screen where the user can review the proposed plan.

[1909] Step 10:

[1910] The user enters their question in free text format into the chat screen and sends it.

[1911] Input: Free text question

[1912] Action: The user types "What options are available with this plan?" and clicks the submit button. The question is sent from the terminal to the server.

[1913] Output: The submitted question is forwarded to the server.

[1914] Step 11:

[1915] The server uses an AI chatbot module to analyze the question and generate an appropriate response.

[1916] Input: Free text question

[1917] Operation: The server passes the question to the chatbot module, which then analyzes the question using natural language processing technology. Based on the analysis results, it generates an answer.

[1918] Output: The generated answer.

[1919] Step 12:

[1920] The server sends the generated response to the terminal.

[1921] Input: Generated answer

[1922] Operation: The server converts the generated response into JSON format and sends it to the terminal.

[1923] Output: Answer in JSON format.

[1924] Step 13:

[1925] The terminal displays the response received from the server to the user.

[1926] Input: Answer in JSON format

[1927] Operation: The device's UI analyzes the received response and displays it to the user in a visually easy-to-understand format.

[1928] Output: A display screen where the user can see the answer to the question.

[1929] Step 14:

[1930] Users type and send messages that reflect their emotions in the chat screen.

[1931] Input: Free text message including emotions

[1932] Action: The user types "I think this plan is too expensive" and clicks the send button. The message is sent from the device to the server.

[1933] Output: The sent message is forwarded to the server.

[1934] Step 15:

[1935] The server uses an emotion engine to analyze the user's emotional state.

[1936] Input: Free text message including emotions

[1937] Operation: The server uses an emotion engine to analyze messages and recognize the user's emotional state.

[1938] Output: User's emotional state information.

[1939] Step 16:

[1940] The server adjusts the response based on the emotional state and sends it to the terminal.

[1941] Input: User's emotional state information

[1942] Operation: The server adjusts the content of suggestions and responses based on the emotional state, converts them to JSON format, and sends them to the terminal.

[1943] Output: Adjusted response content in JSON format.

[1944] Step 17:

[1945] The terminal displays the adjusted response received from the server to the user.

[1946] Input: Adjusted response content in JSON format

[1947] Operation: The device's UI analyzes the received response and displays it to the user in a visually easy-to-understand format.

[1948] Output: A display screen where the user can review the adjusted response.

[1949] The above outlines the specific processing steps of this system.

[1950] (Application Example 2)

[1951] 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".

[1952] Traditional contract management systems made it difficult for users to review, modify, or receive proposals for new plans without visiting a physical store. Furthermore, providing appropriate answers to user inquiries required significant human resources, often resulting in delays. Additionally, the inability to consider the user's emotional state in responses and suggestions frequently led to a poor user experience. These issues need to be resolved.

[1953] 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. In this invention, the server includes means for acquiring user authentication information and performing authentication, means for acquiring contract content information from users who have successfully been authenticated, means for proposing the most suitable new contract content to the user based on the above contract content information, means for analyzing free-text format questions from the user and generating appropriate answers, and means for analyzing the user's emotional state and adjusting the content of responses and proposals. As a result, users can check, change, and receive proposals for new plans without having to visit a store, and can also be provided with optimal proposals and responses according to their emotional state.

[1954] "User authentication information" refers to personal identification information such as IDs and passwords that users use when accessing the system.

[1955] "Contract details information" refers to the detailed information of the services and plans that the user has already contracted for.

[1956] "New contract details" refers to new contract plans or options proposed to the user based on their current contract details.

[1957] A "free-text question" refers to a question or inquiry that a user enters in any format they choose.

[1958] "Emotional state" refers to the emotional state analyzed by the emotion engine from the text entered by the user.

[1959] "Means for adjusting the content of responses and suggestions" refers to a mechanism in which the system adjusts the content of suggestions and responses to be most appropriate for the user based on the analyzed emotional state.

[1960] The system for implementing this invention allows users to use a smartphone to check and change contract details and receive proposals for new plans. The system has a function to analyze the user's emotional state and adjust the content of appropriate responses and proposals.

[1961] First, the user logs in to the application installed on their smartphone. The login screen requires a user ID and password, and this authentication information is sent to the server. The server compares the authentication information with a database, and if authentication is successful, it retrieves the user's contract information and sends it to the device.

[1962] Next, the device displays contract information to the user. If the user wishes to be offered a new plan, they enter a request in the chat screen and send it. This request is sent to the server, which activates a generating AI model to select the best new plan based on the user's usage history and current contract information. The information of the selected plan is formatted, sent to the device, and displayed to the user.

[1963] Users can also enter questions in free text format, which are sent to the server. The server analyzes the received questions using natural language processing techniques and generates appropriate answers. These answers are sent to the device and displayed to the user.

[1964] Furthermore, an emotion engine is incorporated to analyze the user's emotional state. The emotion engine analyzes the emotional state from the text entered by the user, and the server adjusts the content of suggestions and responses based on this emotional state. For example, if the user indicates dissatisfaction, the server will provide more detailed information or discount information.

[1965] The hardware and software to be used are as follows:

[1966] Hardware:

[1967] Smartphone (iOS or Android)

[1968] software:

[1969] Python

[1970] Flask (a small web framework for server communication)

[1971] AI models (e.g., Scikit-learn, TensorFlow, etc.)

[1972] Natural language processing models (e.g., BERT, GPT-3)

[1973] Emotional Engine

[1974] Examples of specific prompt messages:

[1975] Please authenticate with user ID '12345'.

[1976] If authentication is successful, please display the current plan for user '12345'.

[1977] If a user requests a new plan, please propose the most suitable plan.

[1978] If a user asks, "What options are available with this plan?", please provide information about the options.

[1979] If a user enters "I feel this plan is too expensive," perform sentiment analysis and provide alternative plans or discount information.

[1980] In this way, users can review and modify their contract details, receive proposals for new plans, and receive appropriate responses and suggestions based on their emotional state, all without having to visit a physical store.

[1981] The flow of a specific process in Application Example 2 will be explained using Figure 14.

[1982] Step 1:

[1983] A user logs into the application using their smartphone. They enter their user ID and password as input. The device sends this authentication information to the server. The server verifies it against the database, and if authentication is successful, sends a success message along with a token to the device to proceed to the next step. The output is either authentication success or failure.

[1984] Step 2:

[1985] If authentication is successful, the server retrieves the user's contract information from the database. The inputs are the token and user ID obtained in the previous step. Based on this, the server searches for the user's contract information and sends the formatted data to the terminal. The output is the contract information.

[1986] Step 3:

[1987] The terminal displays contract information sent from the server to the user. The user reviews their contract details and, if they wish to receive a new plan proposal, enters this information in the chat screen. This input is the user's request message. The terminal sends this request message to the server. The user's request is sent as output.

[1988] Step 4:

[1989] When the server receives a user request, it activates a generative AI model to select the optimal new plan based on the user's usage history and current contract information. The inputs are the user's request, usage history, and current contract information. The server performs data analysis using the AI ​​model, generates optimal plan information, and sends it to the terminal. The output is the optimal new plan information.

[1990] Step 5:

[1991] The terminal displays new plan information sent from the server to the user. If the user has any questions about the new plan, they can enter them in free text format. The input is the free text question entered by the user. The terminal sends this question to the server. As output, the user's question is sent back to the server.

[1992] Step 6:

[1993] The server receives free-text questions from users and analyzes them using natural language processing (NLP) techniques. The input is the question text from the user. The server uses an NLP model to analyze the question and generate an appropriate answer. The generated answer is sent to the terminal. The output is the appropriate answer.

[1994] Step 7:

[1995] The terminal displays the answer sent from the server to the user. It verifies whether the user's question has been answered satisfactorily. Furthermore, if the user enters an emotion, the terminal also sends that emotion text to the server. The input is the emotion text from the user. The terminal sends this emotion text to the server. As output, the emotion text is sent to the server.

[1996] Step 8:

[1997] The server receives the user's sentiment text, which is then analyzed by the sentiment engine. The input is the user's sentiment text. The server uses the sentiment engine to analyze the emotional state and adjust the content of appropriate responses and suggestions based on that analysis. The analysis results are sent to the terminal as adjusted suggestions and responses. The output is the adjusted responses and suggestions.

[1998] 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.

[1999] 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.

[2000] In the above embodiment, an example was given in which specific processing is performed by the data processing device 12, but the technology of this disclosure is not limited thereto, and the specific processing may also be performed by the robot 414.

[2001] 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.

[2002] 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.

[2003] 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.

[2004] 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.

[2005] 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.

[2006] 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."

[2007] 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.

[2008] 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.

[2009] 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.

[2010] 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.

[2011] 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.

[2012] 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.

[2013] 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.

[2014] 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.

[2015] 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.

[2016] 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.

[2017] 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.

[2018] 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.

[2019] The following is further disclosed regarding the embodiments described above.

[2020] (Claim 1)

[2021] A means of obtaining user authentication information and performing authentication,

[2022] A means of obtaining contract details information from a user who has successfully authenticated,

[2023] Based on the above contract information, a means of proposing the most suitable new contract terms to the user,

[2024] A means for analyzing free-text questions from users and generating appropriate answers,

[2025] A system that includes this.

[2026] (Claim 2)

[2027] The system according to claim 1, which proposes the most suitable new contract terms based on the user's past usage history and behavior.

[2028] (Claim 3)

[2029] The system according to claim 1, which analyzes user questions using natural language processing technology and generates appropriate answers.

[2030] "Example 1"

[2031] (Claim 1)

[2032] A means of obtaining user authentication information and performing authentication,

[2033] A means of obtaining contract information from a user who has successfully authenticated,

[2034] Based on the above contract information, a means of proposing the most suitable new contract plan to the user,

[2035] A means for analyzing text-based questions from users and generating appropriate answers,

[2036] A method for analyzing user questions using a generative AI model,

[2037] A means of generating appropriate answers using a generative AI model,

[2038] A system that includes this.

[2039] (Claim 2)

[2040] The system according to claim 1, which proposes the optimal new contract plan based on the user's past usage history and behavior.

[2041] (Claim 3)

[2042] The system according to claim 1, which analyzes a user's question using a generative AI model and generates an appropriate answer.

[2043] "Application Example 1"

[2044] (Claim 1)

[2045] A means of obtaining user authentication information and performing authentication,

[2046] A means of obtaining contract details information from a user who has successfully authenticated,

[2047] Based on the above contract information, a means of proposing the most suitable new contract terms to the user,

[2048] A means for analyzing free-text questions from users and generating appropriate answers,

[2049] A means of obtaining a user's past spending and usage history and proposing the optimal spending plan and benefits based on that,

[2050] A system that includes this.

[2051] (Claim 2)

[2052] The system according to claim 1, which proposes the most suitable new contract terms based on the user's past usage history and behavior.

[2053] (Claim 3)

[2054] The system according to claim 1, which analyzes user questions using natural language processing technology and generates appropriate answers.

[2055] "Example 2 of combining an emotion engine"

[2056] (Claim 1)

[2057] A means of obtaining user authentication information and performing authentication,

[2058] A means of obtaining contract details information from a user who has successfully authenticated,

[2059] Based on the above contract information, a means of proposing the most suitable new contract terms to the user,

[2060] A means for analyzing free-text questions from users and generating appropriate answers,

[2061] A means of adjusting suggestions and responses using an emotion engine that analyzes the user's emotional state,

[2062] A system that includes this.

[2063] (Claim 2)

[2064] The system according to claim 1, which proposes the most suitable new contract terms based on the user's past usage history and behavior.

[2065] (Claim 3)

[2066] The system according to claim 1, which analyzes user questions using natural language processing technology and generates appropriate answers.

[2067] "Application example 2 when combining with an emotional engine"

[2068] (Claim 1)

[2069] A means of obtaining user authentication information and performing authentication,

[2070] A means of obtaining contract details information from a user who has successfully authenticated,

[2071] Based on the above contract information, a means of proposing the most suitable new contract terms to the user,

[2072] A means for analyzing free-text questions from users and generating appropriate answers,

[2073] A means for analyzing the user's emotional state and adjusting the content of responses and suggestions,

[2074] A system that includes this.

[2075] (Claim 2)

[2076] The system according to claim 1, which proposes the optimal new contract terms based on the user's past usage history and behavior.

[2077] (Claim 3)

[2078] The system according to claim 1, which analyzes user questions using natural language processing technology and generates appropriate answers. [Explanation of symbols]

[2079] 10, 210, 310, 410 Data Processing Systems 12 Data Processing Devices 14 Smart Devices 214 Smart Glasses 314 Headset-type terminal 414 Robots< / url:> < / url:> < / url:> < / url:>

Claims

1. A means of obtaining user authentication information and performing authentication, A means of obtaining contract details information from a user who has successfully authenticated, Based on the above contract information, a means of proposing the most suitable new contract terms to the user, A means for analyzing free-text questions from users and generating appropriate answers, A system that includes this.

2. The system according to claim 1, which proposes the most suitable new contract terms based on the user's past usage history and behavior.

3. The system according to claim 1, which analyzes user questions using natural language processing technology and generates appropriate answers.

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