system

Abstract

We provide the system. [Solution] A means of receiving a request from a user to unsubscribe, A means of using an AI agent to send an unsubscribe request to the target distribution source, A means of receiving the results of an unsubscribe request and notifying the user, A means for classifying communications received from a user's electronic information account, A means of centrally managing user unsubscribe requests based on specific types of messages, 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, the method including steps of receiving a user utterance, adding the user utterance to a prompt including an instruction sentence related to an explanation of a chatbot character, encoding the prompt, and inputting the encoded prompt into a language model to generate a chatbot utterance in response to the user utterance.

Prior Art Documents

Patent Documents

[0003]

Patent Document 1

Summary of the Invention

Problems to be Solved by the Invention

[0004] The present invention aims to solve the problem that the procedure for stopping the distribution of DMs received by many users is very complicated. In the conventional procedure, users had to perform the stopping procedure for each individual source of distribution, which was time-consuming and laborious. Also, since the procedure methods were not unified, users could be confused. There is a need to solve these problems so that users can stop the distribution of DMs efficiently and simply.

Means for Solving the Problems

[0005] This invention provides a system that receives unsubscribe requests from users in bulk and automatically sends unsubscribe requests to each sender using an AI agent. Specifically, it provides an interface that allows users to select multiple unsubscribe options in a single operation, and the system is configured to retrieve necessary information from a specific sender database. By utilizing the AI ​​agent, it can handle the different procedures of each sender and efficiently complete the unsubscribe process using an API. Furthermore, it includes a function to notify the user of the progress and results of the procedure, ensuring that it can be used with peace of mind.

[0006] A "user" is an entity that uses the system to request to stop receiving content.

[0007] A "request to unsubscribe" is the act of a user identifying the direct messages (DMs) they wish to receive and requesting to stop receiving them.

[0008] An "AI agent" is an automated software agent within a system that processes unsubscribe requests and communicates those requests to the relevant distributors.

[0009] "Distributor" refers to the entity or organization that sends direct messages (DMs) to users.

[0010] A "database" is a collection of digital information used to store information related to users' unsubscribe requests and information about the source of the content.

[0011] An "API" is an interface for exchanging functions and data between different software applications.

[0012] "Notification" refers to a means of communicating information to inform users about the results and progress of processes performed within a system. [Brief explanation of the drawing]

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

Mode for Carrying Out the Invention

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

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

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

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

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

[0019] In the following embodiments, a labeled communication I / F (Interface) is an interface including a communication processor, an antenna, and the like. The communication I / F controls communication between multiple computers. Examples of communication standards applied to the communication I / F include wireless communication standards including 5G (5th Generation Mobile Communication System), Wi-Fi (registered trademark), or Bluetooth (registered trademark).

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

[0021] [First Embodiment]

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

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

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

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

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

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

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

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

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

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

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

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

[0034] This invention provides a system to simplify the process of unsubscribing from direct mail (DM) distributions, enabling users to efficiently unsubscribe from a wide variety of DMs. The system begins with the user accessing a dedicated interface, selecting the category of DM they wish to unsubscribe from, and entering their email address.

[0035] Users can use the provided web interface to enter their email address and the type of direct mail they wish to stop receiving. This information is processed as an unsubscribe request. Once a user enters and submits the information, the data is immediately sent to the server.

[0036] The server reviews received unsubscribe requests and, based on a pre-configured database of senders, determines which senders to which unsubscribe requests to send. An AI agent within the server is used to prepare unsubscribe requests according to the specific APIs and procedures of each sender.

[0037] The device, based on instructions from the server, sends unsubscribe requests to each sender via the API. This process stops the user from receiving direct messages from specific senders.

[0038] For example, if a user wishes to unsubscribe from newsletters and promotional information, they access a dedicated page and enter the necessary information. The server analyzes the entered information and uses an AI agent to send unsubscribe requests to multiple distributors providing newsletters and promotional information. This eliminates the need for the user to individually unsubscribe.

[0039] Once the unsubscription process is complete, the server will notify the user of the result. This notification will include details about which senders have been unsubscribed from and that the process has been completed.

[0040] Thus, the system according to the present invention automates the complex process of unsubscribing from direct mail, thereby reducing the burden on users.

[0041] The following describes the processing flow.

[0042] Step 1:

[0043] Users access a dedicated webpage, select the direct mail category they wish to unsubscribe from, enter their email address, and press the send button.

[0044] Step 2:

[0045] The server receives input data from the user, accesses the database, and retrieves API endpoint information and authentication information for each source.

[0046] Step 3:

[0047] The server uses an AI agent to generate requests to send unsubscribe requests to each delivery source as requested by the user. During this process, the data is formatted appropriately based on the delivery source's API specifications.

[0048] Step 4:

[0049] The device follows instructions from the server and sends the generated unsubscribe requests to the respective API endpoints of the delivery sources.

[0050] Step 5:

[0051] The server receives responses from each source and verifies whether the unsubscribe process was successful.

[0052] Step 6:

[0053] The server analyzes the results of the unsubscribe process and records which processes were successful and which failed.

[0054] Step 7:

[0055] The server sends a notification to the user confirming that the process is complete. This notification will include the source from which the unsubscription was successful, and, in the event of failure, the reason for the failure.

[0056] (Example 1)

[0057] 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."

[0058] Traditional methods required users to individually unsubscribe from direct messages (DMs) received from multiple sources, which was time-consuming and problematic. Furthermore, the unsubscribe procedures differed for each source, requiring users to spend considerable time and effort completing the process. There is a need to simplify these cumbersome procedures.

[0059] 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.

[0060] In this invention, the server includes means for providing an interface for users to input an email address and an unsubscribe category; means for receiving unsubscribe requests from users and identifying the target sender by referring to a sender database; means for preparing unsubscribe requests in accordance with the API specifications of each sender using an AI agent; means for sending unsubscribe requests to senders via a terminal using the API; and means for receiving the results of the unsubscribe requests and notifying the user. This enables users to efficiently perform unsubscribe procedures for multiple senders in a single batch.

[0061] A "user" is anyone who uses this system to unsubscribe from email delivery.

[0062] An "email address" is a unique string of characters used in email communication to identify a user.

[0063] "Unsubscribe category" refers to the specific types or genres of information that you select when unsubscribing from direct mail.

[0064] An "interface" is a dedicated input method for users to enter information and send it to a server.

[0065] A "subscription request" is an instruction sent to a server by a user to stop receiving specific direct mail (DM) messages.

[0066] The "distributor database" is a data structure that holds information about each distributor and is used for the process of unsubscribing from distribution.

[0067] An "AI agent" is a program that uses artificial intelligence to optimize and automate unsubscribe requests.

[0068] "API" stands for Application Programming Interface, which is a standardized set of procedures for different software to interact with each other.

[0069] A "terminal" is a device that receives instructions from the server and sends unsubscribe requests to each recipient.

[0070] A "notification" is a means of informing a user about the outcome of their unsubscribe request.

[0071] This invention is a system for automating and efficiently handling the various procedures users use to unsubscribe from email delivery. The system mainly consists of three components: the user, the server, and the terminal.

[0072] Users first access the web interface and enter their email address and the categories they wish to unsubscribe from. This interface is user-friendly and designed for intuitive operation.

[0073] Based on the information received from the user, the server identifies the senders from whom the user wishes to unsubscribe. To do this, the server refers to an internal sender database. The database contains detailed information about each sender and API specifications for unsubscribing. The server further utilizes a built-in generative AI model to generate an optimal list of senders based on the user's input. Based on this list, the server uses an AI agent to prepare unsubscribe requests according to the API specifications of each sender. For example, based on a request such as "I want to stop receiving promotional information sent to my email address," the server identifies multiple senders providing promotional information and generates the necessary unsubscribe requests for them.

[0074] The terminal executes the stop request transmitted from the server. Specifically, the terminal uses an API to send stop requests to each source. The terminal does this via the internet connection, delivering the stop command to each source's system. This process is performed in real time, which can save the user a significant amount of time.

[0075] Once the unsubscription process is complete, the server will notify the user again. This notification will include information about the sender from whom the unsubscription was successful and the completion status of the process.

[0076] A possible example of a specific prompt would be, "Enter the user's email address and the categories they wish to unsubscribe from, and then describe in detail the process of sending unsubscribe requests to multiple senders." This prompt would allow the AI ​​agent to provide detailed support for generating and sending the appropriate API requests.

[0077] The flow of the specific processing in Example 1 will be explained using Figure 11.

[0078] Step 1:

[0079] Users access a web interface and enter their email address and the categories they wish to unsubscribe from. The input is formatted as data to be sent to the server, and the user verifies the validity of the email address. As a result, the correct email address and category information are sent to the server.

[0080] Step 2:

[0081] The server analyzes the email address and category information received from the user. Based on this input, it queries the source database to retrieve a list of relevant sources. The server then performs analysis to identify the sources that need to be stopped and generates a list of recipients. This list is used to prepare subsequent stop requests.

[0082] Step 3:

[0083] The server uses a generative AI model to construct optimal stop requests based on the destination list. Based on the destination list obtained as input, it generates request formats compliant with the API specifications of each source. The AI ​​agent's algorithm is used to process the data, resulting in an output request set containing the necessary authentication and metadata for the API.

[0084] Step 4:

[0085] The terminal processes each API request transmitted from the server and actually sends it to the API endpoint of the source. The terminal sends each request using the HTTP POST method and initiates the delivery stop process. As output for each request, response data is received from the API server and the result is temporarily stored in storage.

[0086] Step 5:

[0087] The server analyzes the response data collected from the terminal to determine if the delivery stop was successful. This process involves analyzing the status code and message included in the response. Based on the success or failure result, it generates a message to notify the user. Finally, notification data is prepared as the processing result.

[0088] Step 6:

[0089] The server notifies the user of the results of the unsubscribe process. The notification is sent to the user via email or a web interface. The notification includes details such as which sources were unsubscribed and whether the process was completed successfully. This notification allows the user to remotely check the status of their unsubscribe.

[0090] (Application Example 1)

[0091] 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."

[0092] Modern users face the problem of receiving a large amount of unwanted electronic communications, particularly advertisements and promotional information, amidst a diverse range of information and communication. Managing these unwanted communications individually is time-consuming and laborious, necessitating efficient management methods. Furthermore, simplifying the process of opting out of communications from multiple digital sources is needed to reduce the burden on users.

[0093] 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.

[0094] In this invention, the server includes means for receiving unsubscribe requests from users, means for transmitting unsubscribe requests to the target distribution source using an AI agent, means for receiving the results of unsubscribe requests and notifying the user, means for classifying communications received from the user's electronic information account, and means for centrally managing users' unsubscribe requests based on specific types of communications. This enables users to efficiently stop unnecessary electronic communications and receive only important information.

[0095] A "user" is an individual or organization that uses this system to unsubscribe from electronic communications.

[0096] A "request to unsubscribe" is a request sent by a user to stop receiving electronic communications from a specific source.

[0097] An "AI agent" is a program that utilizes artificial intelligence to appropriately process unsubscribe requests and automatically send them to the target source.

[0098] A "distribution source" is an organization or system that sends electronic communications to a user.

[0099] "Means of receiving results and notifying the user" refers to a process or function for informing the user of the result when the processing of an unsubscribe request is complete.

[0100] An "electronic information account" is an account for a communication service that a user uses to receive electronic communications.

[0101] "Means for classifying communications" refers to a method or function for classifying received electronic communications into categories based on specific criteria.

[0102] "Means of centralized management" refers to a procedure or function for processing multiple unsubscribe requests at once.

[0103] The system implementing this invention is designed to facilitate requests to unsubscribe from content delivery. The system mainly consists of a server, a terminal, and a user.

[0104] The server is the core component for processing unsubscribe requests received from users. Upon receiving a user request, it first uses an AI agent to generate an unsubscribe request to send to the delivery source. The AI ​​agent uses an external communication interface API to automatically make requests according to the required procedures of the specific delivery source. The server also has a means of monitoring the results of these requests and notifying the user of success or failure.

[0105] The terminal receives communications from the user's electronic information account via individual devices such as telephones and tablets, and selects communications that the user wishes to unsubscribe from. The terminal's role is to provide the user interface for this system, making it easy for the user to operate.

[0106] Users can access their electronic information accounts to review received communications and request to unsubscribe from communications they deem unnecessary. This allows users to quickly manage unwanted information and receive only the communications they truly need.

[0107] A concrete example is the process where a user opens the "Mail Manager" app on their smartphone, selects unwanted promotional messages from the multiple messages presented, and submits an unsubscribe request. In this process, the system automatically sends unsubscribe requests to each sender via the server based on the user's selection and notifies the app of the results.

[0108] An example of a prompt for a generative AI model is, "What features should this application have to solve the problem of managing promotional emails from e-commerce sites?"

[0109] The flow of a specific process in Application Example 1 will be explained using Figure 12.

[0110] Step 1:

[0111] The user launches an application on their terminal and accesses their electronic information account. The application retrieves the latest communications from the email server and displays them to the user in a list. The user's input is to select which communications are unnecessary, and the output is a list of the selected communications.

[0112] Step 2:

[0113] The terminal sends a list of unwanted messages selected by the user to the server. The server receives this list and uses an AI agent to identify the source of each message. The input is a list selected by the user, and the output is source information corresponding to each message.

[0114] Step 3:

[0115] The server uses an AI agent to generate unsubscribe requests. It automatically configures the request content based on the API and regulations of each delivery source. Inputs include delivery source information and a flag indicating the desire to unsubscribe, while output is unsubscribe request data for API requests.

[0116] Step 4:

[0117] The server sends pre-configured unsubscribe request data to each distribution source. The server's operation involves sending requests to the distribution source's system via an external communication interface API. The input is the unsubscribe request data, and the output is the response data from each distribution source.

[0118] Step 5:

[0119] The server analyzes the success or failure of the unsubscription process based on the responses received from each source. This analysis is performed by aggregating the responses from all sources and preparing the results to inform the user. The input is the response data, and the output is the result of the unsubscription process.

[0120] Step 6:

[0121] The user receives the unsubscribe result information on their device. The server sends the previously compiled unsubscribe results to the user's device and notifies them within the application. The input is the unsubscribe result data, and the output is the notification information sent to the user.

[0122] 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.

[0123] This invention combines an emotion engine with a system that efficiently processes users' requests to unsubscribe from direct mail (DM) deliveries, enabling flexible responses tailored to the user's emotional state. The aim is to optimize the user experience and make the unsubscribe process more personalized.

[0124] When a user selects the category of direct mail they wish to unsubscribe from via a web interface, enters their email address, and completes the request, the input data is immediately sent to the server. The server receives this information, and simultaneously, an emotion engine analyzes the user's current emotional state. This emotion analysis is performed based on the user's voice tone, input method, and past behavioral history.

[0125] Based on the analysis results, the server adjusts how the AI ​​agent processes the data and changes priorities if necessary. In particular, if emotional stress is detected, the process of requesting to stop delivery is expedited, and feedback is provided to the user more quickly.

[0126] As a concrete example, if a user is experiencing excessive stress and this is detected by the emotion engine, the server will immediately process all relevant unsubscribe requests with high priority. Upon success, it will send an emotionally sensitive and reassuring notification. This notification will be designed to alleviate the user's stress.

[0127] Furthermore, as feedback from the device, customized messages are sent based on the user's emotional state, such as, "We apologize for the inconvenience. We will do our best to reduce unnecessary communication in the future."

[0128] In this way, the present invention adapts the unsubscribe process according to the user's emotions, thereby providing a better user experience.

[0129] The following describes the processing flow.

[0130] Step 1:

[0131] Users access a dedicated web interface, select the direct mail categories they wish to unsubscribe from, enter the required information, and submit an unsubscribe request.

[0132] Step 2:

[0133] Upon receiving an unsubscribe request from a user, the server activates the sentiment engine to analyze the user's emotional state. This analysis includes input speed, the tone of the language used, and previous interaction data.

[0134] Step 3:

[0135] The server prioritizes the processing of unsubscribe requests based on the results of the emotion engine's analysis. If the user is detected to be in a stressed state, the request will be treated as a high priority.

[0136] Step 4:

[0137] The server works with an AI agent to identify the appropriate API endpoint for sending unsubscribe requests to each sender. During this process, the settings are adjusted to ensure rapid processing based on the user's emotional state.

[0138] Step 5:

[0139] The terminal receives instructions from the server and sends an unsubscribe request to each sender. It then proceeds to the next step after obtaining confirmation of the unsubscribe request via the API.

[0140] Step 6:

[0141] The server receives responses from each source, verifies whether the unsubscribe request was processed successfully, and records the result in the database.

[0142] Step 7:

[0143] The server sends feedback to the user. This feedback includes a message tailored based on the analysis results of the sentiment engine. For example, it might say, "We apologize for the inconvenience. The delivery has been successfully stopped."

[0144] (Example 2)

[0145] 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".

[0146] Conventional unsubscribe request processing systems were unable to respond flexibly to users' emotional states, making it difficult to provide a personalized experience. In particular, when immediate action was required in emotionally stressful situations, the lack of rapid processing and appropriate feedback contributed to decreased user satisfaction.

[0147] The identification process performed by the identification processing unit 290 of the data processing device 12 in Example 2 is realized by the following means.

[0148] In this invention, the server includes means for a user to request to unsubscribe via an information terminal and transmit that information to a communication device; means for the communication device to operate an emotion recognition device for analyzing the user information and emotional state received; means for an AI control device to adjust the priority of unsubscribe requests based on the user's emotional state analyzed using the emotion recognition device; and means for the AI ​​control device to execute the unsubscribe requests according to priority and notify the user of the result. This enables efficient and personalized unsubscribe processing that takes into account the user's emotional state.

[0149] A "user" is an entity that uses a system to request information or perform operations.

[0150] An "information terminal" is a device used by a user to process and input an unsubscribe request.

[0151] A "communication device" is a device that receives input information from a user and transmits it to a server.

[0152] An "emotion recognition device" is a device that analyzes a user's emotional state based on the information they input.

[0153] An "AI control device" is a device that adjusts the priority of unsubscribe requests and processes them based on the results of an emotion recognition device.

[0154] A "subscription request" is a request made by a user to stop receiving information they do not wish to receive.

[0155] A "data interface" is an interface used for communicating with external information sources.

[0156] This invention relates to a system for efficiently and flexibly processing requests from users to stop receiving unwanted information.

[0157] Specifically, the process begins with the user using their information terminal to select the categories they wish to unsubscribe from on a web interface and entering the necessary information. This constitutes the user's unsubscribe request. This information is immediately transmitted from the terminal to the server.

[0158] Within the server, the communication device first processes the received data, and then the emotion recognition device analyzes the user's emotional state. The emotion recognition device determines emotions using the user's input method, past behavioral history, and, in some cases, voice data. Generative AI models are used in this analysis, and technologies such as natural language processing and image recognition may be employed.

[0159] Next, the server uses an AI controller to determine the priority of unsubscribe requests based on the output of the emotion recognition device. Requests with high priority are processed particularly quickly. The AI ​​controller also interacts with external information sources through a data interface to process requests appropriately.

[0160] As a concrete example, if the emotion recognition device detects that a user is experiencing stress, the server will immediately process it as a high-priority request and notify the user of the result. This notification will be a customized message, such as, "We apologize for the inconvenience. We will do our best to reduce unnecessary communication in the future."

[0161] An example of a prompt might be, "How can I generate feedback messages based on the user's emotional state?"

[0162] This invention enables responses based on the user's emotional state, thereby providing a more personalized user experience.

[0163] The flow of the specific processing in Example 2 will be explained using Figure 13.

[0164] Step 1:

[0165] The user uses an information terminal to select the categories they wish to unsubscribe from on the web interface and enters their email address. This confirms the unsubscribe request and generates input data. This data includes the unsubscribe request and user identification information.

[0166] Step 2:

[0167] The terminal immediately sends the user's input data to the server. The data is transmitted via a secure protocol (e.g., HTTPS). The server receives this data and prepares it for further processing. The input data contains information about the user's request.

[0168] Step 3:

[0169] The server analyzes the data received using a communication device and evaluates the user's emotional state using an emotion recognition device. This process utilizes the user's input method, past behavioral history, and, in some cases, voice data. The emotion recognition device uses a generative AI model to analyze the user's emotions and output emotion evaluation data.

[0170] Step 4:

[0171] The server operates an AI control unit based on emotion evaluation data from the emotion recognition device. This AI control unit determines the priority of unsubscribe requests and plans the order in which to process the requests. High-priority requests are configured to be processed especially quickly. The output of this process is the determination of processing priority.

[0172] Step 5:

[0173] The server uses an AI control unit to execute priority-based data cessation requests. It interacts with external information sources via a data interface to stop fixed and dynamic data. The results are notified to the user, along with a customized message that is generated at that time.

[0174] Step 6:

[0175] The device receives a notification from the server and presents it to the user. The notification includes confirmation of the successful unsubscribe and details, and is provided in a user-friendly format (e.g., screen display or email). This output allows the user to confirm that the process is complete and to feel reassured.

[0176] (Application Example 2)

[0177] 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 device 14 will be referred to as the "terminal."

[0178] Traditionally, when users requested to unsubscribe from direct mail, the process was simple and uniform, lacking individualized responses tailored to their emotional state. This led to increased user dissatisfaction and stress. Furthermore, delays in the unsubscribe process negatively impacted the user experience.

[0179] 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.

[0180] In this invention, the server includes means for receiving unsubscribe requests from users, means for analyzing the user's emotional state using emotion recognition technology, means for adjusting the priority of unsubscribe processing based on the analysis results, and means for generating and sending customized notifications to users. This enables flexible and rapid unsubscribe procedures that respond to the user's emotions.

[0181] A "user" is an individual or organization that uses the system to request to stop receiving direct mail.

[0182] A "request to unsubscribe" is an instruction issued by a user to stop receiving specific direct mail or informational communications.

[0183] An "AI agent" is software that uses artificial intelligence technology to process user requests and assist in decision-making.

[0184] "Emotion recognition technology" is a technology that analyzes a user's voice, text input, and other behavioral data to detect their emotional state.

[0185] "Means for adjusting priorities" refers to functions that change the urgency and order of processing based on the analyzed emotional state of the user.

[0186] A "customized notification" is a message that delivers information to the user that has been tailored to their emotions and preferences.

[0187] "Means of generating and sending notifications to users" refers to the process of creating customized messages and delivering them to the user's device.

[0188] The system for carrying out the present invention mainly consists of a user, a terminal, and a server. This system performs a series of procedures for unsubscribing from direct mail and executes the optimal processing based on the user's emotional state.

[0189] Users submit unsubscribe requests via their devices. These devices are equipped with emotion recognition technology, which analyzes the user's emotional state from their voice and text. Specifically, it collects and analyzes information such as word choice, typing speed, and touch pressure.

[0190] The analyzed emotional data is sent from the device to the server. The server uses this data to adjust the priority of the unsubscribe process through an AI agent. For example, if the user is experiencing stress, the process is given high priority and executed immediately.

[0191] After the server completes the process of unsubscribing, it generates a customized notification. This notification is designed to be emotionally sensitive and reassuring for the user. The generated notification is sent to and displayed on the user's device.

[0192] For example, if a user enters "I don't want any more promotional emails" in an irritated tone, emotion recognition technology will detect that stress, and the server will immediately stop sending emails and send a message saying, "We understand you're having trouble. Please rest assured that we'll take care of it right away."

[0193] As an example of a prompt, the AI ​​agent might be given the instruction, "Analyze the sentiments of users who wish to unsubscribe from promotional emails and determine the best course of action."

[0194] The flow of a specific process in Application Example 2 will be explained using Figure 14.

[0195] Step 1:

[0196] The user uses their device to enter the categories and email address they wish to unsubscribe from. The categories and email address are sent to the device as input data. This input triggers an unsubscribe request to the system.

[0197] Step 2:

[0198] The device collects user voice input, text data, and touch patterns, and uses emotion recognition technology to analyze the user's emotional state. This analysis includes voice tone analysis and keystroke rhythm analysis. The analysis results output emotions such as whether the user is relaxed or stressed.

[0199] Step 3:

[0200] The device sends the user's unsubscribe request and sentiment analysis results to the server. This data transmission takes place over the network and provides baseline data to initiate processing on the server side.

[0201] Step 4:

[0202] Based on the received sentiment analysis results, the server's AI agent determines the priority of the unsubscribe process. For example, if the user's emotions indicate a stressed state, the process will proceed with high priority. This ensures that the unsubscribe process is carried out quickly.

[0203] Step 5:

[0204] The server sends an unsubscribe request to the delivery company's database via API. The API communication receives status information to confirm that the unsubscribe has been processed.

[0205] Step 6:

[0206] The server uses an AI model to generate customized messages that respond to the user's emotions and sends them to the user's device. For example, it might send a message like, "I understand you're having trouble. Please don't worry, we'll take care of it right away," showing consideration for the user's feelings.

[0207] Step 7:

[0208] The device notifies the user that the unsubscribe process is complete by displaying the sent customized message on the user's screen. This message display is an important interaction for increasing user satisfaction.

[0209] 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.

[0210] 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.

[0211] 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.

[0212] [Second Embodiment]

[0213] Figure 3 shows an example of the configuration of the data processing system 210 according to the second embodiment.

[0214] 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.

[0215] 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).

[0216] 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.

[0217] 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.

[0218] 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).

[0219] 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.

[0220] 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.

[0221] 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.

[0222] 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.

[0223] 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.

[0224] 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".

[0225] This invention provides a system to simplify the process of unsubscribing from direct mail (DM) distributions, enabling users to efficiently unsubscribe from a wide variety of DMs. The system begins with the user accessing a dedicated interface, selecting the category of DM they wish to unsubscribe from, and entering their email address.

[0226] Users can use the provided web interface to enter their email address and the type of direct mail they wish to stop receiving. This information is processed as an unsubscribe request. Once a user enters and submits the information, the data is immediately sent to the server.

[0227] The server reviews received unsubscribe requests and, based on a pre-configured database of senders, determines which senders to which unsubscribe requests to send. An AI agent within the server is used to prepare unsubscribe requests according to the specific APIs and procedures of each sender.

[0228] The device, based on instructions from the server, sends an unsubscribe request to each sender via the API. This process stops the user from receiving direct messages from specific senders.

[0229] For example, if a user wishes to unsubscribe from newsletters and promotional information, they access a dedicated page and enter the necessary information. The server analyzes the entered information and uses an AI agent to send unsubscribe requests to multiple distributors providing newsletters and promotional information. This eliminates the need for the user to individually unsubscribe.

[0230] Once the unsubscription process is complete, the server will notify the user of the result. This notification will include details about which senders have been unsubscribed from and that the process has been completed.

[0231] Thus, the system according to the present invention automates the complex process of unsubscribing from direct mail, thereby reducing the burden on users.

[0232] The following describes the processing flow.

[0233] Step 1:

[0234] Users access a dedicated webpage, select the direct mail category they wish to unsubscribe from, enter their email address, and press the send button.

[0235] Step 2:

[0236] The server receives input data from the user, accesses the database, and retrieves API endpoint information and authentication information for each source.

[0237] Step 3:

[0238] The server uses an AI agent to generate requests to send unsubscribe requests to each delivery source as requested by the user. During this process, the data is formatted appropriately based on the delivery source's API specifications.

[0239] Step 4:

[0240] The device follows instructions from the server and sends the generated unsubscribe requests to the respective API endpoints of the delivery sources.

[0241] Step 5:

[0242] The server receives responses from each source and verifies whether the unsubscribe process was successful.

[0243] Step 6:

[0244] The server analyzes the results of the unsubscribe process and records which processes were successful and which failed.

[0245] Step 7:

[0246] The server sends a notification to the user confirming that the process is complete. This notification will include the source from which the unsubscription was successful, and, in the event of failure, the reason for the failure.

[0247] (Example 1)

[0248] 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."

[0249] Traditional methods required users to individually unsubscribe from direct messages (DMs) received from multiple sources, which was time-consuming and problematic. Furthermore, the unsubscribe procedures differed for each source, requiring users to spend considerable time and effort completing the process. There is a need to simplify these cumbersome procedures.

[0250] 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.

[0251] In this invention, the server includes means for providing an interface for users to input an email address and an unsubscribe category; means for receiving unsubscribe requests from users and identifying the target sender by referring to a sender database; means for preparing unsubscribe requests in accordance with the API specifications of each sender using an AI agent; means for sending unsubscribe requests to senders via a terminal using the API; and means for receiving the results of the unsubscribe requests and notifying the user. This enables users to efficiently perform unsubscribe procedures for multiple senders in a single batch.

[0252] A "user" is anyone who uses this system to unsubscribe from email delivery.

[0253] An "email address" is a unique string of characters used in email communication to identify a user.

[0254] "Unsubscribe categories" refer to the specific types or genres of information that you select when unsubscribing from direct mail.

[0255] An "interface" is a dedicated input method for users to enter information and send it to a server.

[0256] A "subscription request" is an instruction sent to a server by a user to stop receiving specific direct mail (DM) messages.

[0257] The "distributor database" is a data structure that holds information about each distributor and is used for the process of unsubscribing from distribution.

[0258] An "AI agent" is a program that uses artificial intelligence to optimize and automate unsubscribe requests.

[0259] "API" stands for Application Programming Interface, which is a standardized set of procedures for different software to interact with each other.

[0260] A "terminal" is a device that receives instructions from the server and sends unsubscribe requests to each recipient.

[0261] A "notification" is a means of informing a user about the outcome of their unsubscribe request.

[0262] This invention is a system for automating and efficiently handling the various procedures users use to unsubscribe from email delivery. The system mainly consists of three components: the user, the server, and the terminal.

[0263] Users first access the web interface and enter their email address and the categories they wish to unsubscribe from. This interface is user-friendly and designed for intuitive operation.

[0264] Based on the information received from the user, the server identifies the senders from whom the user wishes to unsubscribe. To do this, the server refers to an internal sender database. The database contains detailed information about each sender and API specifications for unsubscribing. The server further utilizes a built-in generative AI model to generate an optimal list of senders based on the user's input. Based on this list, the server uses an AI agent to prepare unsubscribe requests according to the API specifications of each sender. For example, based on a request such as "I want to stop receiving promotional information sent to my email address," the server identifies multiple senders providing promotional information and generates the necessary unsubscribe requests for them.

[0265] The terminal executes the stop request transmitted from the server. Specifically, the terminal uses an API to send stop requests to each source. The terminal does this via the internet connection, delivering the stop command to each source's system. This process is performed in real time, which can save the user a significant amount of time.

[0266] Once the unsubscription process is complete, the server will notify the user again. This notification will include information about the sender from whom the unsubscription was successful and the completion status of the process.

[0267] A possible example of a specific prompt would be, "Enter the user's email address and the categories they wish to unsubscribe from, and then describe in detail the process of sending unsubscribe requests to multiple senders." This prompt would allow the AI ​​agent to provide detailed support for generating and sending the appropriate API requests.

[0268] The flow of the specific processing in Example 1 will be explained using Figure 11.

[0269] Step 1:

[0270] Users access a web interface and enter their email address and the categories they wish to unsubscribe from. The input is formatted as data to be sent to the server, and the user verifies the validity of the email address. As a result, the correct email address and category information are sent to the server.

[0271] Step 2:

[0272] The server analyzes the email address and category information received from the user. Based on this input, it queries the source database to retrieve a list of relevant sources. The server then performs analysis to identify the sources that need to be stopped and generates a list of recipients. This list is used to prepare subsequent stop requests.

[0273] Step 3:

[0274] The server uses a generative AI model to construct optimal stop requests based on the destination list. Based on the destination list obtained as input, it generates request formats compliant with the API specifications of each source. The AI ​​agent's algorithm is used to process the data, resulting in an output request set containing the necessary authentication and metadata for the API.

[0275] Step 4:

[0276] The terminal processes each API request transmitted from the server and actually sends it to the API endpoint of the source. The terminal sends each request using the HTTP POST method and initiates the delivery stop process. As output for each request, response data is received from the API server and the result is temporarily stored in storage.

[0277] Step 5:

[0278] The server analyzes the response data collected from the terminal to check whether the delivery stop was successful. In this process, it analyzes the status code and message included in the response. Based on the result of success or failure, it generates a message for notifying the user. Finally, notification data as the processing result is prepared.

[0279] Step 6:

[0280] The server notifies the user of the result of the delivery stop process. The notification is sent to the user through an email or a web interface. The notification provided as output includes details such as which delivery source was stopped and whether the procedure was completed normally. With this notification, the user can remotely check the status of the delivery stop.

[0281] (Application Example 1)

[0282] Next, Application Example 1 will be described. In the following description, the data processing device 12 is referred to as the "server", and the smart glasses 214 are referred to as the "terminal".

[0283] Modern users are facing the problem of receiving many unwanted electronic communication messages, especially advertisements and promotional information, in various information communications. Individually managing these unwanted communications requires time and effort, so an efficient management method is required. Also, it is necessary to reduce the burden on users by simplifying the communication stop procedures from multiple digital delivery sources

[0284] The specific processing by the specific processing unit 290 of the data processing device 12 in Application Example 1 is realized by the following respective means.

[0285] In this invention, the server includes means for receiving a request to stop distribution from a user, means for using an AI agent to send the stop distribution request to the target distribution source, means for receiving the result of the stop distribution request and notifying the user, means for classifying communication texts received from the user's electronic information account, and means for collectively managing the user's stop distribution requests based on specific types of communication texts. Thereby, the user can efficiently stop unnecessary electronic communications and receive only important information.

[0286] The "user" is an individual or group that uses this system to stop the distribution of electronic communications.

[0287] The "request to stop distribution" is a request sent by the user to suspend electronic communications from a specific distribution source.

[0288] The "AI agent" is a program that utilizes artificial intelligence to appropriately process a stop distribution request and automatically send it to the target distribution source.

[0289] The "distribution source" is an organization or system that sends electronic communication texts to the user.

[0290] The "means for receiving the result and notifying the user" is a process or function for informing the user of the result when the processing of the stop distribution request is completed.

[0291] The "electronic information account" is an account of a communication service used by the user to receive electronic communication texts.

[0292] The "means for classifying communication texts" is a method or function for classifying received electronic communication texts into categories based on specific criteria.

[0293] The "means for collectively managing" is a procedure or function for processing multiple stop distribution requests collectively.

[0294] The system implementing this invention is designed to facilitate requests to unsubscribe from content delivery. The system mainly consists of a server, a terminal, and a user.

[0295] The server is the core component for processing unsubscribe requests received from users. Upon receiving a user request, it first uses an AI agent to generate an unsubscribe request to send to the delivery source. The AI ​​agent uses an external communication interface API to automatically make requests according to the required procedures of the specific delivery source. The server also has a means of monitoring the results of these requests and notifying the user of success or failure.

[0296] The terminal receives communications from the user's electronic information account via individual devices such as telephones and tablets, and selects communications that the user wishes to unsubscribe from. The terminal's role is to provide the user interface for this system, making it easy for the user to operate.

[0297] Users can access their electronic information accounts to review received communications and request to unsubscribe from communications they deem unnecessary. This allows users to quickly manage unwanted information and receive only the communications they truly need.

[0298] A concrete example is the process where a user opens the "Mail Manager" app on their smartphone, selects unwanted promotional messages from the multiple messages presented, and submits an unsubscribe request. In this process, the system automatically sends unsubscribe requests to each sender via the server based on the user's selection and notifies the app of the results.

[0299] An example of a prompt for a generative AI model is, "What features should this application have to solve the problem of managing promotional emails from e-commerce sites?"

[0300] The flow of the specific process in Application Example 1 will be described using FIG. 12.

[0301] Step 1:

[0302] The user launches the application on the terminal and accesses the electronic information account. The application retrieves the latest communication messages from the email server and displays them in a list to the user. The user's input is the selection of "which communication messages are unnecessary", and the output is the list of selected communication messages.

[0303] Step 2:

[0304] The terminal sends the list of unnecessary communication messages selected by the user to the server. The server receives this list and the AI agent identifies the distribution source of each communication message. The input is the list based on the user's selection, and the output is the distribution source information corresponding to each communication message.

[0305] Step 3:

[0306] The server uses the AI agent to generate a distribution stop request. Based on the API and regulations of each distribution source, the request content is automatically configured. The input is the distribution source information and the flag indicating the desire to stop distribution, and the output is the distribution stop request data for the API request.

[0307] Step 4:

[0308] The server sends the pre-configured distribution stop request data to each distribution source. As the operation of the server, it performs the task of sending a request to the system of the distribution source via the external communication interface API. The input is the distribution stop request data, and the output is the response data of each distribution source.

[0309] Step 5:

[0310] The server analyzes the success or failure of the unsubscription process based on the responses received from each source. This analysis is performed by aggregating the responses from all sources and preparing the results to inform the user. The input is the response data, and the output is the result of the unsubscription process.

[0311] Step 6:

[0312] The user receives the unsubscribe result information on their device. The server sends the previously compiled unsubscribe results to the user's device and notifies them within the application. The input is the unsubscribe result data, and the output is the notification information sent to the user.

[0313] 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.

[0314] This invention combines an emotion engine with a system that efficiently processes users' requests to unsubscribe from direct mail (DM) deliveries, enabling flexible responses tailored to the user's emotional state. The aim is to optimize the user experience and make the unsubscribe process more personalized.

[0315] When a user selects the category of direct mail they wish to unsubscribe from via a web interface, enters their email address, and completes the request, the input data is immediately sent to the server. The server receives this information, and simultaneously, an emotion engine analyzes the user's current emotional state. This emotion analysis is performed based on the user's voice tone, input method, and past behavioral history.

[0316] Based on the analysis results, the server adjusts how the AI ​​agent processes the data and changes priorities if necessary. In particular, if emotional stress is detected, the process of requesting to stop delivery is expedited, and feedback is provided to the user more quickly.

[0317] As a concrete example, if a user is experiencing excessive stress and this is detected by the emotion engine, the server will immediately process all relevant unsubscribe requests with high priority. Upon success, it will send an emotionally sensitive and reassuring notification. This notification will be designed to alleviate the user's stress.

[0318] Furthermore, as feedback from the device, customized messages are sent based on the user's emotional state, such as, "We apologize for the inconvenience. We will do our best to reduce unnecessary communication in the future."

[0319] In this way, the present invention adapts the unsubscribe process according to the user's emotions, thereby providing a better user experience.

[0320] The following describes the processing flow.

[0321] Step 1:

[0322] Users access a dedicated web interface, select the direct mail categories they wish to unsubscribe from, enter the required information, and submit an unsubscribe request.

[0323] Step 2:

[0324] Upon receiving an unsubscribe request from a user, the server activates the sentiment engine to analyze the user's emotional state. This analysis includes input speed, the tone of the language used, and previous interaction data.

[0325] Step 3:

[0326] The server prioritizes the processing of unsubscribe requests based on the results of the emotion engine's analysis. If the user is detected to be in a stressed state, the request will be treated as a high priority.

[0327] Step 4:

[0328] The server works with an AI agent to identify the appropriate API endpoint for sending unsubscribe requests to each sender. During this process, the settings are adjusted to ensure rapid processing based on the user's emotional state.

[0329] Step 5:

[0330] The terminal receives instructions from the server and sends an unsubscribe request to each sender. It then proceeds to the next step after obtaining confirmation of the unsubscribe request via the API.

[0331] Step 6:

[0332] The server receives responses from each source, verifies whether the unsubscribe request was processed successfully, and records the result in the database.

[0333] Step 7:

[0334] The server sends feedback to the user. This feedback includes a message tailored based on the analysis results of the sentiment engine. For example, it might say, "We apologize for the inconvenience. The delivery has been successfully stopped."

[0335] (Example 2)

[0336] 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".

[0337] Conventional unsubscribe request processing systems were unable to respond flexibly to users' emotional states, making it difficult to provide a personalized experience. In particular, when immediate action was required in emotionally stressful situations, the lack of rapid processing and appropriate feedback contributed to decreased user satisfaction.

[0338] The identification process performed by the identification processing unit 290 of the data processing device 12 in Example 2 is realized by the following means.

[0339] In this invention, the server includes means for a user to request to unsubscribe via an information terminal and transmit that information to a communication device; means for the communication device to operate an emotion recognition device for analyzing the user information and emotional state received; means for an AI control device to adjust the priority of unsubscribe requests based on the user's emotional state analyzed using the emotion recognition device; and means for the AI ​​control device to execute the unsubscribe requests according to priority and notify the user of the result. This enables efficient and personalized unsubscribe processing that takes into account the user's emotional state.

[0340] A "user" is an entity that uses a system to request information or perform operations.

[0341] An "information terminal" is a device used by a user to process and input an unsubscribe request.

[0342] A "communication device" is a device that receives input information from a user and transmits it to a server.

[0343] An "emotion recognition device" is a device that analyzes a user's emotional state based on the information they input.

[0344] An "AI control device" is a device that adjusts the priority of unsubscribe requests and processes them based on the results of an emotion recognition device.

[0345] A "subscription request" is a request made by a user to stop receiving information they do not wish to receive.

[0346] A "data interface" is an interface used for communicating with external information sources.

[0347] This invention relates to a system for efficiently and flexibly processing user requests to stop receiving unwanted information.

[0348] Specifically, the process begins with the user using their information terminal to select the categories they wish to unsubscribe from on a web interface and entering the necessary information. This constitutes the user's unsubscribe request. This information is immediately transmitted from the terminal to the server.

[0349] Within the server, the communication device first processes the received data, and then the emotion recognition device analyzes the user's emotional state. The emotion recognition device determines emotions using the user's input method, past behavioral history, and, in some cases, voice data. Generative AI models are used in this analysis, and technologies such as natural language processing and image recognition may be employed.

[0350] Next, the server uses an AI controller to determine the priority of unsubscribe requests based on the output of the emotion recognition device. Requests with high priority are processed particularly quickly. The AI ​​controller also interacts with external information sources through a data interface to process requests appropriately.

[0351] As a concrete example, if the emotion recognition device detects that a user is experiencing stress, the server will immediately process it as a high-priority request and notify the user of the result. This notification will be a customized message, such as, "We apologize for the inconvenience. We will do our best to reduce unnecessary communication in the future."

[0352] An example of a prompt might be, "How can I generate feedback messages based on the user's emotional state?"

[0353] This invention enables responses based on the user's emotional state, thereby providing a more personalized user experience.

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

[0355] Step 1:

[0356] The user uses an information terminal to select the categories they wish to unsubscribe from on the web interface and enters their email address. This confirms the unsubscribe request and generates input data. This data includes the unsubscribe request and user identification information.

[0357] Step 2:

[0358] The terminal immediately sends the user's input data to the server. The data is transmitted via a secure protocol (e.g., HTTPS). The server receives this data and prepares it for further processing. The input data contains information about the user's request.

[0359] Step 3:

[0360] The server analyzes the data received using a communication device and evaluates the user's emotional state using an emotion recognition device. This process utilizes the user's input method, past behavioral history, and, in some cases, voice data. The emotion recognition device uses a generative AI model to analyze the user's emotions and output emotion evaluation data.

[0361] Step 4:

[0362] The server operates an AI control unit based on emotion evaluation data from the emotion recognition device. This AI control unit determines the priority of unsubscribe requests and plans the order in which to process the requests. High-priority requests are configured to be processed especially quickly. The output of this process is the determination of processing priority.

[0363] Step 5:

[0364] The server uses an AI control unit to execute priority-based data cessation requests. It interacts with external information sources via a data interface to stop fixed and dynamic data. The results are notified to the user, along with a customized message that is generated at that time.

[0365] Step 6:

[0366] The device receives a notification from the server and presents it to the user. The notification includes confirmation of the successful unsubscribe and details, and is provided in a user-friendly format (e.g., screen display or email). This output allows the user to confirm that the process is complete and to feel reassured.

[0367] (Application Example 2)

[0368] 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."

[0369] Traditionally, when users requested to unsubscribe from direct mail, the process was simple and uniform, lacking individualized responses tailored to their emotional state. This led to increased user dissatisfaction and stress. Furthermore, delays in the unsubscribe process negatively impacted the user experience.

[0370] 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.

[0371] In this invention, the server includes means for receiving unsubscribe requests from users, means for analyzing the user's emotional state using emotion recognition technology, means for adjusting the priority of unsubscribe processing based on the analysis results, and means for generating and sending customized notifications to users. This enables flexible and rapid unsubscribe procedures that respond to the user's emotions.

[0372] A "user" is an individual or organization that uses the system to request to stop receiving direct mail.

[0373] A "request to unsubscribe" is an instruction issued by a user to stop receiving specific direct mail or informational communications.

[0374] An "AI agent" is software that uses artificial intelligence technology to process user requests and assist in decision-making.

[0375] "Emotion recognition technology" is a technology that analyzes a user's voice, text input, and other behavioral data to detect their emotional state.

[0376] "Means for adjusting priorities" refers to functions that change the urgency and order of processing based on the analyzed emotional state of the user.

[0377] A "customized notification" is a message that delivers information to the user that has been tailored to their emotions and preferences.

[0378] "Means of generating and sending notifications to users" refers to the process of creating customized messages and delivering them to the user's device.

[0379] The system for carrying out the present invention mainly consists of a user, a terminal, and a server. This system performs a series of procedures for unsubscribing from direct mail and executes the optimal processing based on the user's emotional state.

[0380] Users submit unsubscribe requests via their devices. These devices are equipped with emotion recognition technology, which analyzes the user's emotional state from their voice and text. Specifically, it collects and analyzes information such as word choice, typing speed, and touch pressure.

[0381] The analyzed emotional data is sent from the device to the server. The server uses this data to adjust the priority of the unsubscribe process through an AI agent. For example, if the user is experiencing stress, the process is given high priority and executed immediately.

[0382] After the server completes the process of unsubscribing, it generates a customized notification. This notification is designed to be emotionally sensitive and reassuring for the user. The generated notification is sent to and displayed on the user's device.

[0383] For example, if a user enters "I don't want any more promotional emails" in an irritated tone, emotion recognition technology will detect that stress, and the server will immediately stop sending emails and send a message saying, "We understand you're having trouble. Please rest assured that we'll take care of it right away."

[0384] As an example of a prompt, the AI ​​agent might be given the instruction, "Analyze the sentiments of users who wish to unsubscribe from promotional emails and determine the best course of action."

[0385] The flow of a specific process in Application Example 2 will be explained using Figure 14.

[0386] Step 1:

[0387] The user uses their device to enter the categories and email address they wish to unsubscribe from. The categories and email address are sent to the device as input data. This input triggers an unsubscribe request to the system.

[0388] Step 2:

[0389] The device collects user voice input, text data, and touch patterns, and uses emotion recognition technology to analyze the user's emotional state. This analysis includes voice tone analysis and keystroke rhythm analysis. The analysis results output emotions such as whether the user is relaxed or stressed.

[0390] Step 3:

[0391] The device sends the user's unsubscribe request and sentiment analysis results to the server. This data transmission takes place over the network and provides baseline data to initiate processing on the server side.

[0392] Step 4:

[0393] Based on the received sentiment analysis results, the server's AI agent determines the priority of the unsubscribe process. For example, if the user's emotions indicate a stressed state, the process will proceed with high priority. This ensures that the unsubscribe process is carried out quickly.

[0394] Step 5:

[0395] The server sends an unsubscribe request to the delivery company's database via API. The API communication receives status information to confirm that the unsubscribe has been processed.

[0396] Step 6:

[0397] The server uses an AI model to generate customized messages that respond to the user's emotions and sends them to the user's device. For example, it might send a message like, "I understand you're having trouble. Please don't worry, we'll take care of it right away," showing consideration for the user's feelings.

[0398] Step 7:

[0399] The device notifies the user that the unsubscribe process is complete by displaying the sent customized message on the user's screen. This message display is an important interaction for increasing user satisfaction.

[0400] 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.

[0401] 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.

[0402] 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.

[0403] [Third Embodiment]

[0404] Figure 5 shows an example of the configuration of the data processing system 310 according to the third embodiment.

[0405] 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.

[0406] 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).

[0407] 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.

[0408] 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.

[0409] 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).

[0410] 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.

[0411] 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.

[0412] 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.

[0413] 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.

[0414] 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.

[0415] 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".

[0416] This invention provides a system to simplify the process of unsubscribing from direct mail (DM) distributions, enabling users to efficiently unsubscribe from a wide variety of DMs. The system begins with the user accessing a dedicated interface, selecting the category of DM they wish to unsubscribe from, and entering their email address.

[0417] Users can use the provided web interface to enter their email address and the type of direct mail they wish to stop receiving. This information is processed as an unsubscribe request. Once a user enters and submits the information, the data is immediately sent to the server.

[0418] The server reviews received unsubscribe requests and, based on a pre-configured database of senders, determines which senders to which unsubscribe requests to send. An AI agent within the server is used to prepare unsubscribe requests according to the specific APIs and procedures of each sender.

[0419] The device, based on instructions from the server, sends an unsubscribe request to each sender via the API. This process stops the user from receiving direct messages from specific senders.

[0420] For example, if a user wishes to unsubscribe from newsletters and promotional information, they access a dedicated page and enter the necessary information. The server analyzes the entered information and uses an AI agent to send unsubscribe requests to multiple distributors providing newsletters and promotional information. This eliminates the need for the user to individually unsubscribe.

[0421] Once the unsubscription process is complete, the server will notify the user of the result. This notification will include details about which senders have been unsubscribed from and that the process has been completed.

[0422] Thus, the system according to the present invention automates the complex process of unsubscribing from direct mail, thereby reducing the burden on users.

[0423] The following describes the processing flow.

[0424] Step 1:

[0425] Users access a dedicated webpage, select the direct mail category they wish to unsubscribe from, enter their email address, and press the send button.

[0426] Step 2:

[0427] The server receives input data from the user, accesses the database, and retrieves API endpoint information and authentication information for each source.

[0428] Step 3:

[0429] The server uses an AI agent to generate requests to send unsubscribe requests to each delivery source as requested by the user. During this process, the data is formatted appropriately based on the delivery source's API specifications.

[0430] Step 4:

[0431] The device follows instructions from the server and sends the generated unsubscribe requests to the respective API endpoints of the delivery sources.

[0432] Step 5:

[0433] The server receives responses from each source and verifies whether the unsubscribe process was successful.

[0434] Step 6:

[0435] The server analyzes the results of the unsubscribe process and records which processes were successful and which failed.

[0436] Step 7:

[0437] The server sends a notification to the user confirming that the process is complete. This notification will include the source from which the unsubscription was successful, and, in the event of failure, the reason for the failure.

[0438] (Example 1)

[0439] 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."

[0440] Traditional methods required users to individually unsubscribe from direct messages (DMs) received from multiple sources, which was time-consuming and problematic. Furthermore, the unsubscribe procedures differed for each source, requiring users to spend considerable time and effort completing the process. There is a need to simplify these cumbersome procedures.

[0441] 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.

[0442] In this invention, the server includes means for providing an interface for users to input an email address and an unsubscribe category; means for receiving unsubscribe requests from users and identifying the target sender by referring to a sender database; means for preparing unsubscribe requests in accordance with the API specifications of each sender using an AI agent; means for sending unsubscribe requests to senders via a terminal using the API; and means for receiving the results of the unsubscribe requests and notifying the user. This enables users to efficiently perform unsubscribe procedures for multiple senders in a single batch.

[0443] A "user" is anyone who uses this system to unsubscribe from email delivery.

[0444] An "email address" is a unique string of characters used in email communication to identify a user.

[0445] "Unsubscribe categories" refer to the specific types or genres of information that you select when unsubscribing from direct mail.

[0446] An "interface" is a dedicated input method for users to enter information and send it to a server.

[0447] A "subscription request" is an instruction sent to a server by a user to stop receiving specific direct mail (DM) messages.

[0448] The "distributor database" is a data structure that holds information about each distributor and is used for the process of unsubscribing from distribution.

[0449] An "AI agent" is a program that uses artificial intelligence to optimize and automate unsubscribe requests.

[0450] "API" stands for Application Programming Interface, which is a standardized set of procedures for different software to interact with each other.

[0451] A "terminal" is a device that receives instructions from the server and sends unsubscribe requests to each recipient.

[0452] A "notification" is a means of informing a user about the outcome of their unsubscribe request.

[0453] This invention is a system for automating and efficiently handling the various procedures users use to unsubscribe from email delivery. The system mainly consists of three components: the user, the server, and the terminal.

[0454] Users first access the web interface and enter their email address and the categories they wish to unsubscribe from. This interface is user-friendly and designed for intuitive operation.

[0455] Based on the information received from the user, the server identifies the senders from whom the user wishes to unsubscribe. To do this, the server refers to an internal sender database. The database contains detailed information about each sender and API specifications for unsubscribing. The server further utilizes a built-in generative AI model to generate an optimal list of senders based on the user's input. Based on this list, the server uses an AI agent to prepare unsubscribe requests according to the API specifications of each sender. For example, based on a request such as "I want to stop receiving promotional information sent to my email address," the server identifies multiple senders providing promotional information and generates the necessary unsubscribe requests for them.

[0456] The terminal executes the stop request transmitted from the server. Specifically, the terminal uses an API to send stop requests to each source. The terminal does this via the internet connection, delivering the stop command to each source's system. This process is performed in real time, which can save the user a significant amount of time.

[0457] Once the unsubscription process is complete, the server will notify the user again. This notification will include information about the sender from whom the unsubscription was successful and the completion status of the process.

[0458] A possible example of a specific prompt would be, "Enter the user's email address and the categories they wish to unsubscribe from, and then describe in detail the process of sending unsubscribe requests to multiple senders." This prompt would allow the AI ​​agent to provide detailed support for generating and sending the appropriate API requests.

[0459] The flow of the specific processing in Example 1 will be explained using Figure 11.

[0460] Step 1:

[0461] Users access a web interface and enter their email address and the categories they wish to unsubscribe from. The input is formatted as data to be sent to the server, and the user verifies the validity of the email address. As a result, the correct email address and category information are sent to the server.

[0462] Step 2:

[0463] The server analyzes the email address and category information received from the user. Based on this input, it queries the source database to retrieve a list of relevant sources. The server then performs analysis to identify the sources that need to be stopped and generates a list of recipients. This list is used to prepare subsequent stop requests.

[0464] Step 3:

[0465] The server uses a generative AI model to construct optimal stop requests based on the destination list. Based on the destination list obtained as input, it generates request formats compliant with the API specifications of each source. The AI ​​agent's algorithm is used to process the data, resulting in an output request set containing the necessary authentication and metadata for the API.

[0466] Step 4:

[0467] The terminal processes each API request transmitted from the server and actually sends it to the API endpoint of the source. The terminal sends each request using the HTTP POST method and initiates the delivery stop process. As output for each request, response data is received from the API server and the result is temporarily stored in storage.

[0468] Step 5:

[0469] The server analyzes the response data collected from the terminal to determine if the delivery stop was successful. This process involves analyzing the status code and message included in the response. Based on the success or failure result, it generates a message to notify the user. Finally, notification data is prepared as the processing result.

[0470] Step 6:

[0471] The server notifies the user of the results of the unsubscribe process. The notification is sent to the user via email or a web interface. The notification includes details such as which sources were unsubscribed and whether the process was completed successfully. This notification allows the user to remotely check the status of their unsubscribe.

[0472] (Application Example 1)

[0473] 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."

[0474] Modern users face the problem of receiving a large amount of unwanted electronic communications, particularly advertisements and promotional information, amidst a diverse range of information and communication. Managing these unwanted communications individually is time-consuming and laborious, necessitating efficient management methods. Furthermore, simplifying the process of opting out of communications from multiple digital sources is needed to reduce the burden on users.

[0475] 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.

[0476] In this invention, the server includes means for receiving unsubscribe requests from users, means for transmitting unsubscribe requests to the target distribution source using an AI agent, means for receiving the results of unsubscribe requests and notifying the user, means for classifying communications received from the user's electronic information account, and means for centrally managing users' unsubscribe requests based on specific types of communications. This enables users to efficiently stop unnecessary electronic communications and receive only important information.

[0477] A "user" is an individual or organization that uses this system to unsubscribe from electronic communications.

[0478] A "request to unsubscribe" is a request sent by a user to stop receiving electronic communications from a specific source.

[0479] An "AI agent" is a program that utilizes artificial intelligence to appropriately process unsubscribe requests and automatically send them to the target source.

[0480] A "distribution source" is an organization or system that sends electronic communications to a user.

[0481] "Means of receiving results and notifying the user" refers to a process or function for informing the user of the result when the processing of an unsubscribe request is complete.

[0482] An "electronic information account" is an account for a communication service that a user uses to receive electronic communications.

[0483] "Means for classifying communications" refers to a method or function for classifying received electronic communications into categories based on specific criteria.

[0484] "Means of centralized management" refers to a procedure or function for processing multiple unsubscribe requests at once.

[0485] The system implementing this invention is designed to facilitate requests to unsubscribe from content delivery. The system mainly consists of a server, a terminal, and a user.

[0486] The server is the core component for processing unsubscribe requests received from users. Upon receiving a user request, it first uses an AI agent to generate an unsubscribe request to send to the delivery source. The AI ​​agent uses an external communication interface API to automatically make requests according to the required procedures of the specific delivery source. The server also has a means of monitoring the results of these requests and notifying the user of success or failure.

[0487] The terminal receives communications from the user's electronic information account via individual devices such as telephones and tablets, and selects communications that the user wishes to unsubscribe from. The terminal's role is to provide the user interface for this system, making it easy for the user to operate.

[0488] Users can access their electronic information accounts to review received communications and request to unsubscribe from communications they deem unnecessary. This allows users to quickly manage unwanted information and receive only the communications they truly need.

[0489] A concrete example is the process where a user opens the "Mail Manager" app on their smartphone, selects unwanted promotional messages from the multiple messages presented, and submits an unsubscribe request. In this process, the system automatically sends unsubscribe requests to each sender via the server based on the user's selection and notifies the app of the results.

[0490] An example of a prompt for a generative AI model is, "What features should this application have to solve the problem of managing promotional emails from e-commerce sites?"

[0491] The flow of a specific process in Application Example 1 will be explained using Figure 12.

[0492] Step 1:

[0493] The user launches an application on their terminal and accesses their electronic information account. The application retrieves the latest communications from the email server and displays them to the user in a list. The user's input is to select which communications are unnecessary, and the output is a list of the selected communications.

[0494] Step 2:

[0495] The terminal sends a list of unwanted messages selected by the user to the server. The server receives this list and uses an AI agent to identify the source of each message. The input is a list selected by the user, and the output is source information corresponding to each message.

[0496] Step 3:

[0497] The server uses an AI agent to generate unsubscribe requests. It automatically configures the request content based on the API and regulations of each delivery source. The input is the delivery source information and a flag indicating the desire to unsubscribe, and the output is unsubscribe request data for API requests.

[0498] Step 4:

[0499] The server sends pre-configured unsubscribe request data to each distribution source. The server's operation involves sending requests to the distribution source's system via an external communication interface API. The input is the unsubscribe request data, and the output is the response data from each distribution source.

[0500] Step 5:

[0501] The server analyzes the success or failure of the unsubscription process based on the responses received from each source. This analysis is performed by aggregating the responses from all sources and preparing the results to inform the user. The input is the response data, and the output is the result of the unsubscription process.

[0502] Step 6:

[0503] The user receives the unsubscribe result information on their device. The server sends the previously compiled unsubscribe results to the user's device and notifies them within the application. The input is the unsubscribe result data, and the output is the notification information sent to the user.

[0504] 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.

[0505] This invention combines an emotion engine with a system that efficiently processes users' requests to unsubscribe from direct mail (DM) deliveries, enabling flexible responses tailored to the user's emotional state. The aim is to optimize the user experience and make the unsubscribe process more personalized.

[0506] When a user selects the category of direct mail they wish to unsubscribe from via a web interface, enters their email address, and completes the request, the input data is immediately sent to the server. The server receives this information, and simultaneously, an emotion engine analyzes the user's current emotional state. This emotion analysis is performed based on the user's voice tone, input method, and past behavioral history.

[0507] Based on the analysis results, the server adjusts how the AI ​​agent processes the data and changes priorities if necessary. In particular, if emotional stress is detected, the process of requesting to stop delivery is expedited, and feedback is provided to the user more quickly.

[0508] As a concrete example, if a user is experiencing excessive stress and this is detected by the emotion engine, the server will immediately process all relevant unsubscribe requests with high priority. Upon success, it will send an emotionally sensitive and reassuring notification. This notification will be designed to alleviate the user's stress.

[0509] Furthermore, as feedback from the device, customized messages are sent based on the user's emotional state, such as, "We apologize for the inconvenience. We will do our best to reduce unnecessary communication in the future."

[0510] In this way, the present invention adapts the unsubscribe process according to the user's emotions, thereby providing a better user experience.

[0511] The following describes the processing flow.

[0512] Step 1:

[0513] Users access a dedicated web interface, select the direct mail categories they wish to unsubscribe from, enter the required information, and submit an unsubscribe request.

[0514] Step 2:

[0515] Upon receiving an unsubscribe request from a user, the server activates the sentiment engine to analyze the user's emotional state. This analysis includes input speed, the tone of the language used, and previous interaction data.

[0516] Step 3:

[0517] The server prioritizes the processing of unsubscribe requests based on the results of the emotion engine's analysis. If the user is detected to be in a stressed state, the request will be treated as a high priority.

[0518] Step 4:

[0519] The server works with an AI agent to identify the appropriate API endpoint for sending unsubscribe requests to each sender. During this process, settings are adjusted to ensure rapid processing based on the user's emotional state.

[0520] Step 5:

[0521] The terminal receives instructions from the server and sends an unsubscribe request to each sender. It then proceeds to the next step after obtaining confirmation of the unsubscribe request via the API.

[0522] Step 6:

[0523] The server receives responses from each source, verifies whether the unsubscribe request was processed successfully, and records the result in the database.

[0524] Step 7:

[0525] The server sends feedback to the user. This feedback includes a message tailored based on the analysis results of the sentiment engine. For example, it might say, "We apologize for the inconvenience. The delivery has been successfully stopped."

[0526] (Example 2)

[0527] 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."

[0528] Conventional unsubscribe request processing systems were unable to respond flexibly to users' emotional states, making it difficult to provide a personalized experience. In particular, when immediate action was required in emotionally stressful situations, the lack of rapid processing and appropriate feedback contributed to decreased user satisfaction.

[0529] The identification process performed by the identification processing unit 290 of the data processing device 12 in Example 2 is realized by the following means.

[0530] In this invention, the server includes means for a user to request to unsubscribe via an information terminal and transmit that information to a communication device; means for the communication device to operate an emotion recognition device for analyzing the user information and emotional state received; means for an AI control device to adjust the priority of unsubscribe requests based on the user's emotional state analyzed using the emotion recognition device; and means for the AI ​​control device to execute the unsubscribe requests according to priority and notify the user of the result. This enables efficient and personalized unsubscribe processing that takes into account the user's emotional state.

[0531] A "user" is an entity that uses a system to request information or perform operations.

[0532] An "information terminal" is a device used by a user to process and input an unsubscribe request.

[0533] A "communication device" is a device that receives input information from a user and transmits it to a server.

[0534] An "emotion recognition device" is a device that analyzes a user's emotional state based on the information they input.

[0535] An "AI control device" is a device that adjusts the priority of unsubscribe requests and processes them based on the results of an emotion recognition device.

[0536] A "subscription request" is a request made by a user to stop receiving information they do not wish to receive.

[0537] A "data interface" is an interface used for communicating with external information sources.

[0538] This invention relates to a system for efficiently and flexibly processing user requests to stop receiving unwanted information.

[0539] Specifically, the process begins with the user using their information terminal to select the categories they wish to unsubscribe from on a web interface and entering the necessary information. This constitutes the user's unsubscribe request. This information is immediately transmitted from the terminal to the server.

[0540] Within the server, the communication device first processes the received data, and then the emotion recognition device analyzes the user's emotional state. The emotion recognition device determines emotions using the user's input method, past behavioral history, and, in some cases, voice data. Generative AI models are used in this analysis, and technologies such as natural language processing and image recognition may be employed.

[0541] Next, the server uses an AI controller to determine the priority of unsubscribe requests based on the output of the emotion recognition device. Requests with high priority are processed particularly quickly. The AI ​​controller also interacts with external information sources through a data interface to process requests appropriately.

[0542] As a concrete example, if the emotion recognition device detects that a user is experiencing stress, the server will immediately process it as a high-priority request and notify the user of the result. This notification will be a customized message, such as, "We apologize for the inconvenience. We will do our best to reduce unnecessary communication in the future."

[0543] An example of a prompt might be, "How can I generate feedback messages based on the user's emotional state?"

[0544] This invention enables responses based on the user's emotional state, thereby providing a more personalized user experience.

[0545] The flow of the specific processing in Example 2 will be explained using Figure 13.

[0546] Step 1:

[0547] The user uses an information terminal to select the categories they wish to unsubscribe from on the web interface and enters their email address. This confirms the unsubscribe request and generates input data. This data includes the unsubscribe request and user identification information.

[0548] Step 2:

[0549] The terminal immediately sends the user's input data to the server. The data is transmitted via a secure protocol (e.g., HTTPS). The server receives this data and prepares it for further processing. The input data contains information about the user's request.

[0550] Step 3:

[0551] The server analyzes the data received using a communication device and evaluates the user's emotional state using an emotion recognition device. This process utilizes the user's input method, past behavioral history, and, in some cases, voice data. The emotion recognition device uses a generative AI model to analyze the user's emotions and output emotion evaluation data.

[0552] Step 4:

[0553] The server operates an AI control unit based on emotion evaluation data from the emotion recognition device. This AI control unit determines the priority of unsubscribe requests and plans the order in which to process the requests. High-priority requests are configured to be processed especially quickly. The output of this process is the determination of processing priority.

[0554] Step 5:

[0555] The server uses an AI control unit to execute priority-based data cessation requests. It interacts with external information sources via a data interface to stop fixed and dynamic data. The results are notified to the user, along with a customized message that is generated at that time.

[0556] Step 6:

[0557] The device receives a notification from the server and presents it to the user. The notification includes confirmation of the successful unsubscribe and details, and is provided in a user-friendly format (e.g., screen display or email). This output allows the user to confirm that the process is complete and to feel reassured.

[0558] (Application Example 2)

[0559] 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."

[0560] Traditionally, when users requested to unsubscribe from direct mail, the process was simple and uniform, lacking individualized responses tailored to their emotional state. This led to increased user dissatisfaction and stress. Furthermore, delays in the unsubscribe process negatively impacted the user experience.

[0561] 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.

[0562] In this invention, the server includes means for receiving unsubscribe requests from users, means for analyzing the user's emotional state using emotion recognition technology, means for adjusting the priority of unsubscribe processing based on the analysis results, and means for generating and sending customized notifications to users. This enables flexible and rapid unsubscribe procedures that respond to the user's emotions.

[0563] A "user" is an individual or organization that uses the system to request to stop receiving direct mail.

[0564] A "request to unsubscribe" is an instruction issued by a user to stop receiving specific direct mail or informational communications.

[0565] An "AI agent" is software that uses artificial intelligence technology to process user requests and assist in decision-making.

[0566] "Emotion recognition technology" is a technology that analyzes a user's voice, text input, and other behavioral data to detect their emotional state.

[0567] "Means for adjusting priorities" refers to functions that change the urgency and order of processing based on the analyzed emotional state of the user.

[0568] A "customized notification" is a message that delivers information to the user that has been tailored to their emotions and preferences.

[0569] "Means of generating and sending notifications to users" refers to the process of creating customized messages and delivering them to the user's device.

[0570] The system for implementing the present invention mainly consists of a user, a terminal, and a server. This system performs a series of procedures for unsubscribing from direct mail and executes the optimal processing based on the user's emotional state.

[0571] Users submit unsubscribe requests via their devices. These devices are equipped with emotion recognition technology, which analyzes the user's emotional state from their voice and text. Specifically, it collects and analyzes information such as word choice, typing speed, and touch pressure.

[0572] The analyzed emotional data is sent from the device to the server. The server uses this data to adjust the priority of the unsubscribe process through an AI agent. For example, if the user is experiencing stress, the process is given high priority and executed immediately.

[0573] After the server completes the process of unsubscribing, it generates a customized notification. This notification is designed to be emotionally sensitive and reassuring to the user. The generated notification is sent to and displayed on the user's device.

[0574] For example, if a user enters "I don't want any more promotional emails" in an irritated tone, emotion recognition technology will detect that stress, and the server will immediately stop sending emails and send a message saying, "We understand you're having trouble. Please rest assured that we'll address the issue immediately."

[0575] As an example of a prompt, the AI ​​agent might be given the instruction, "Analyze the sentiments of users who wish to unsubscribe from promotional emails and determine the best course of action."

[0576] The flow of a specific process in Application Example 2 will be explained using Figure 14.

[0577] Step 1:

[0578] The user uses their device to enter the categories and email address they wish to unsubscribe from. The categories and email address are sent to the device as input data. This input triggers an unsubscribe request to the system.

[0579] Step 2:

[0580] The device collects user voice input, text data, and touch patterns, and uses emotion recognition technology to analyze the user's emotional state. This analysis includes voice tone analysis and keystroke rhythm analysis. The analysis results output emotions such as whether the user is relaxed or stressed.

[0581] Step 3:

[0582] The device sends the user's unsubscribe request and sentiment analysis results to the server. This data transmission takes place over the network and provides baseline data to initiate processing on the server side.

[0583] Step 4:

[0584] Based on the received sentiment analysis results, the server's AI agent determines the priority of the unsubscribe process. For example, if the user's emotions indicate a stressed state, the process will proceed with high priority. This ensures that the unsubscribe process is carried out quickly.

[0585] Step 5:

[0586] The server sends an unsubscribe request to the delivery company's database via API. The API communication receives status information to confirm that the unsubscribe has been processed.

[0587] Step 6:

[0588] The server uses an AI model to generate customized messages that respond to the user's emotions and sends them to the user's device. For example, it might send a message like, "I understand you're having trouble. Please don't worry, we'll take care of it right away," showing consideration for the user's feelings.

[0589] Step 7:

[0590] The device notifies the user that the unsubscribe process is complete by displaying the sent customized message on the user's screen. This message display is an important interaction for increasing user satisfaction.

[0591] 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.

[0592] 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.

[0593] 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.

[0594] [Fourth Embodiment]

[0595] Figure 7 shows an example of the configuration of the data processing system 410 according to the fourth embodiment.

[0596] 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.

[0597] 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).

[0598] 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.

[0599] 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.

[0600] 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).

[0601] 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.

[0602] 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.

[0603] 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.

[0604] 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.

[0605] 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.

[0606] 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.

[0607] 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".

[0608] This invention provides a system to simplify the process of unsubscribing from direct mail (DM) distributions, enabling users to efficiently unsubscribe from a wide variety of DMs. The system begins with the user accessing a dedicated interface, selecting the category of DM they wish to unsubscribe from, and entering their email address.

[0609] Users can use the provided web interface to enter their email address and the type of direct mail they wish to stop receiving. This information is processed as an unsubscribe request. Once a user enters and submits the information, the data is immediately sent to the server.

[0610] The server reviews received unsubscribe requests and, based on a pre-configured database of senders, determines which senders to which unsubscribe requests to send. An AI agent within the server is used to prepare unsubscribe requests according to the specific APIs and procedures of each sender.

[0611] The device, based on instructions from the server, sends an unsubscribe request to each sender via the API. This process stops the user from receiving direct messages from specific senders.

[0612] For example, if a user wishes to unsubscribe from newsletters and promotional information, they access a dedicated page and enter the necessary information. The server analyzes the entered information and uses an AI agent to send unsubscribe requests to multiple distributors providing newsletters and promotional information. This eliminates the need for the user to individually unsubscribe.

[0613] Once the unsubscription process is complete, the server will notify the user of the result. This notification will include details about which senders have been unsubscribed from and that the process has been completed.

[0614] Thus, the system according to the present invention automates the complex process of unsubscribing from direct mail, thereby reducing the burden on users.

[0615] The following describes the processing flow.

[0616] Step 1:

[0617] Users access a dedicated webpage, select the direct mail category they wish to unsubscribe from, enter their email address, and press the send button.

[0618] Step 2:

[0619] The server receives input data from the user, accesses the database, and retrieves API endpoint information and authentication information for each source.

[0620] Step 3:

[0621] The server uses an AI agent to generate requests to send unsubscribe requests to each delivery source as requested by the user. During this process, the data is formatted appropriately based on the delivery source's API specifications.

[0622] Step 4:

[0623] The device follows instructions from the server and sends the generated unsubscribe requests to the respective API endpoints of the delivery sources.

[0624] Step 5:

[0625] The server receives responses from each source and verifies whether the unsubscribe process was successful.

[0626] Step 6:

[0627] The server analyzes the results of the unsubscribe process and records which processes were successful and which failed.

[0628] Step 7:

[0629] The server sends a notification to the user confirming that the process is complete. This notification will include the source from which the unsubscription was successful, and, in the event of failure, the reason for the failure.

[0630] (Example 1)

[0631] 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".

[0632] Traditional methods required users to individually unsubscribe from direct messages (DMs) received from multiple sources, which was time-consuming and problematic. Furthermore, the unsubscribe procedures differed for each source, requiring users to spend considerable time and effort completing the process. There is a need to simplify these cumbersome procedures.

[0633] 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.

[0634] In this invention, the server includes means for providing an interface for users to input an email address and an unsubscribe category; means for receiving unsubscribe requests from users and identifying the target sender by referring to a sender database; means for preparing unsubscribe requests in accordance with the API specifications of each sender using an AI agent; means for sending unsubscribe requests to senders via a terminal using the API; and means for receiving the results of the unsubscribe requests and notifying the user. This enables users to efficiently perform unsubscribe procedures for multiple senders in a single batch.

[0635] A "user" is anyone who uses this system to unsubscribe from email delivery.

[0636] An "email address" is a unique string of characters used in email communication to identify a user.

[0637] "Unsubscribe categories" refer to the specific types or genres of information that you select when unsubscribing from direct mail.

[0638] An "interface" is a dedicated input method for users to enter information and send it to a server.

[0639] A "subscription request" is an instruction sent to a server by a user to stop receiving specific direct mail (DM) messages.

[0640] The "distributor database" is a data structure that holds information about each distributor and is used for the process of unsubscribing from distribution.

[0641] An "AI agent" is a program that uses artificial intelligence to optimize and automate unsubscribe requests.

[0642] "API" stands for Application Programming Interface, which is a standardized set of procedures for different software to interact with each other.

[0643] A "terminal" is a device that receives instructions from the server and sends unsubscribe requests to each recipient.

[0644] A "notification" is a means of informing a user about the outcome of their unsubscribe request.

[0645] This invention is a system for automating and efficiently handling the various procedures users use to unsubscribe from email delivery. The system mainly consists of three components: the user, the server, and the terminal.

[0646] Users first access the web interface and enter their email address and the categories they wish to unsubscribe from. This interface is user-friendly and designed for intuitive operation.

[0647] Based on the information received from the user, the server identifies the senders from whom the user wishes to unsubscribe. To do this, the server refers to an internal sender database. The database contains detailed information about each sender and API specifications for unsubscribing. The server further utilizes a built-in generative AI model to generate an optimal list of senders based on the user's input. Based on this list, the server uses an AI agent to prepare unsubscribe requests according to the API specifications of each sender. For example, based on a request such as "I want to stop receiving promotional information sent to my email address," the server identifies multiple senders providing promotional information and generates the necessary unsubscribe requests for them.

[0648] The terminal executes the stop request transmitted from the server. Specifically, the terminal uses an API to send stop requests to each source. The terminal does this via the internet connection, delivering the stop command to each source's system. This process is performed in real time, which can save the user a significant amount of time.

[0649] Once the unsubscription process is complete, the server will notify the user again. This notification will include information about the sender from whom the unsubscription was successful and the completion status of the process.

[0650] A possible example of a specific prompt would be, "Enter the user's email address and the categories they wish to unsubscribe from, and then describe in detail the process of sending unsubscribe requests to multiple senders." This prompt would allow the AI ​​agent to provide detailed support for generating and sending the appropriate API requests.

[0651] The flow of the specific processing in Example 1 will be explained using Figure 11.

[0652] Step 1:

[0653] Users access a web interface and enter their email address and the categories they wish to unsubscribe from. The input is formatted as data to be sent to the server, and the user verifies the validity of the email address. As a result, the correct email address and category information are sent to the server.

[0654] Step 2:

[0655] The server analyzes the email address and category information received from the user. Based on this input, it queries the source database to retrieve a list of relevant sources. The server then performs analysis to identify the sources that need to be stopped and generates a list of recipients. This list is used to prepare subsequent stop requests.

[0656] Step 3:

[0657] The server uses a generative AI model to construct optimal stop requests based on the destination list. Based on the destination list obtained as input, it generates request formats compliant with the API specifications of each source. The AI ​​agent's algorithm is used to process the data, resulting in an output request set containing the necessary authentication and metadata for the API.

[0658] Step 4:

[0659] The terminal processes each API request transmitted from the server and actually sends it to the API endpoint of the source. The terminal sends each request using the HTTP POST method and initiates the delivery stop process. As output for each request, response data is received from the API server and the result is temporarily stored in storage.

[0660] Step 5:

[0661] The server analyzes the response data collected from the terminal to determine if the delivery stop was successful. This process involves analyzing the status code and message included in the response. Based on the success or failure result, it generates a message to notify the user. Finally, notification data is prepared as the processing result.

[0662] Step 6:

[0663] The server notifies the user of the results of the unsubscribe process. The notification is sent to the user via email or a web interface. The notification includes details such as which sources were unsubscribed and whether the process was completed successfully. This notification allows the user to remotely check the status of their unsubscribe.

[0664] (Application Example 1)

[0665] 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".

[0666] Modern users face the problem of receiving a large amount of unwanted electronic communications, particularly advertisements and promotional information, amidst a diverse range of information and communication. Managing these unwanted communications individually is time-consuming and laborious, necessitating efficient management methods. Furthermore, simplifying the process of opting out of communications from multiple digital sources is needed to reduce the burden on users.

[0667] 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.

[0668] In this invention, the server includes means for receiving unsubscribe requests from users, means for transmitting unsubscribe requests to the target distribution source using an AI agent, means for receiving the results of unsubscribe requests and notifying the user, means for classifying communications received from the user's electronic information account, and means for centrally managing users' unsubscribe requests based on specific types of communications. This enables users to efficiently stop unnecessary electronic communications and receive only important information.

[0669] A "user" is an individual or organization that uses this system to unsubscribe from electronic communications.

[0670] A "request to unsubscribe" is a request sent by a user to stop receiving electronic communications from a specific source.

[0671] An "AI agent" is a program that utilizes artificial intelligence to appropriately process unsubscribe requests and automatically send them to the target source.

[0672] A "distribution source" is an organization or system that sends electronic communications to a user.

[0673] "Means of receiving results and notifying the user" refers to a process or function for informing the user of the result when the processing of an unsubscribe request is complete.

[0674] An "electronic information account" is an account for a communication service that a user uses to receive electronic communications.

[0675] "Means for classifying communications" refers to a method or function for classifying received electronic communications into categories based on specific criteria.

[0676] "Means of centralized management" refers to a procedure or function for processing multiple unsubscribe requests at once.

[0677] The system implementing this invention is designed to facilitate requests to unsubscribe from content delivery. The system mainly consists of a server, a terminal, and a user.

[0678] The server is the core component for processing unsubscribe requests received from users. Upon receiving a user request, it first uses an AI agent to generate an unsubscribe request to send to the delivery source. The AI ​​agent uses an external communication interface API to automatically make requests according to the required procedures of the specific delivery source. The server also has a means of monitoring the results of these requests and notifying the user of success or failure.

[0679] The terminal receives communications from the user's electronic information account via individual devices such as telephones and tablets, and selects communications that the user wishes to unsubscribe from. The terminal's role is to provide the user interface for this system, making it easy for the user to operate.

[0680] Users can access their electronic information accounts to review received communications and request to unsubscribe from communications they deem unnecessary. This allows users to quickly manage unwanted information and receive only the communications they truly need.

[0681] A concrete example is the process where a user opens the "Mail Manager" app on their smartphone, selects unwanted promotional messages from the multiple messages presented, and submits an unsubscribe request. In this process, the system automatically sends unsubscribe requests to each sender via the server based on the user's selection and notifies the app of the results.

[0682] An example of a prompt for a generative AI model is, "What features should this application have to solve the problem of managing promotional emails from e-commerce sites?"

[0683] The flow of a specific process in Application Example 1 will be explained using Figure 12.

[0684] Step 1:

[0685] The user launches an application on their terminal and accesses their electronic information account. The application retrieves the latest communications from the email server and displays them to the user in a list. The user's input is to select which communications are unnecessary, and the output is a list of the selected communications.

[0686] Step 2:

[0687] The terminal sends a list of unwanted messages selected by the user to the server. The server receives this list and uses an AI agent to identify the source of each message. The input is a list selected by the user, and the output is source information corresponding to each message.

[0688] Step 3:

[0689] The server uses an AI agent to generate unsubscribe requests. It automatically configures the request content based on the API and regulations of each delivery source. The input is the delivery source information and a flag indicating the desire to unsubscribe, and the output is unsubscribe request data for API requests.

[0690] Step 4:

[0691] The server sends pre-configured unsubscribe request data to each distribution source. The server's operation involves sending requests to the distribution source's system via an external communication interface API. The input is the unsubscribe request data, and the output is the response data from each distribution source.

[0692] Step 5:

[0693] The server analyzes the success or failure of the unsubscription process based on the responses received from each source. This analysis is performed by aggregating the responses from all sources and preparing the results to inform the user. The input is the response data, and the output is the result of the unsubscription process.

[0694] Step 6:

[0695] The user receives the unsubscribe result information on their device. The server sends the previously compiled unsubscribe results to the user's device and notifies them within the application. The input is the unsubscribe result data, and the output is the notification information sent to the user.

[0696] 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.

[0697] This invention combines an emotion engine with a system that efficiently processes users' requests to unsubscribe from direct mail (DM) deliveries, enabling flexible responses tailored to the user's emotional state. The aim is to optimize the user experience and make the unsubscribe process more personalized.

[0698] When a user selects the category of direct mail they wish to unsubscribe from via a web interface, enters their email address, and completes the request, the input data is immediately sent to the server. The server receives this information, and simultaneously, an emotion engine analyzes the user's current emotional state. This emotion analysis is performed based on the user's voice tone, input method, and past behavioral history.

[0699] Based on the analysis results, the server adjusts how the AI ​​agent processes the data and changes priorities if necessary. In particular, if emotional stress is detected, the process of requesting to stop delivery is expedited, and feedback is provided to the user more quickly.

[0700] As a concrete example, if a user is experiencing excessive stress and this is detected by the emotion engine, the server will immediately process all relevant unsubscribe requests with high priority. Upon success, it will send an emotionally sensitive and reassuring notification. This notification will be designed to alleviate the user's stress.

[0701] Furthermore, as feedback from the device, customized messages are sent based on the user's emotional state, such as, "We apologize for the inconvenience. We will do our best to reduce unnecessary communication in the future."

[0702] In this way, the present invention adapts the unsubscribe process according to the user's emotions, thereby providing a better user experience.

[0703] The following describes the processing flow.

[0704] Step 1:

[0705] Users access a dedicated web interface, select the direct mail categories they wish to unsubscribe from, enter the required information, and submit an unsubscribe request.

[0706] Step 2:

[0707] Upon receiving an unsubscribe request from a user, the server activates the sentiment engine to analyze the user's emotional state. This analysis includes input speed, the tone of the language used, and previous interaction data.

[0708] Step 3:

[0709] The server prioritizes the processing of unsubscribe requests based on the results of the emotion engine's analysis. If the user is detected to be in a stressed state, the request will be treated as a high priority.

[0710] Step 4:

[0711] The server works with an AI agent to identify the appropriate API endpoint for sending unsubscribe requests to each sender. During this process, settings are adjusted to ensure rapid processing based on the user's emotional state.

[0712] Step 5:

[0713] The terminal receives instructions from the server and sends an unsubscribe request to each sender. It then proceeds to the next step after obtaining confirmation of the unsubscribe request via the API.

[0714] Step 6:

[0715] The server receives responses from each source, verifies whether the unsubscribe request was processed successfully, and records the result in the database.

[0716] Step 7:

[0717] The server sends feedback to the user. This feedback includes a message tailored based on the analysis results of the sentiment engine. For example, it might say, "We apologize for the inconvenience. The delivery has been successfully stopped."

[0718] (Example 2)

[0719] 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".

[0720] Conventional unsubscribe request processing systems were unable to respond flexibly to users' emotional states, making it difficult to provide a personalized experience. In particular, when immediate action was required in emotionally stressful situations, the lack of rapid processing and appropriate feedback contributed to decreased user satisfaction.

[0721] The identification process performed by the identification processing unit 290 of the data processing device 12 in Example 2 is realized by the following means.

[0722] In this invention, the server includes means for a user to request to unsubscribe via an information terminal and transmit that information to a communication device; means for the communication device to operate an emotion recognition device for analyzing the user information and emotional state received; means for an AI control device to adjust the priority of unsubscribe requests based on the user's emotional state analyzed using the emotion recognition device; and means for the AI ​​control device to execute the unsubscribe requests according to priority and notify the user of the result. This enables efficient and personalized unsubscribe processing that takes into account the user's emotional state.

[0723] A "user" is an entity that uses a system to request information or perform operations.

[0724] An "information terminal" is a device used by a user to process and input an unsubscribe request.

[0725] A "communication device" is a device that receives input information from a user and transmits it to a server.

[0726] An "emotion recognition device" is a device that analyzes a user's emotional state based on the information they input.

[0727] An "AI control device" is a device that adjusts the priority of unsubscribe requests and processes them based on the results of an emotion recognition device.

[0728] A "subscription request" is a request made by a user to stop receiving information they do not wish to receive.

[0729] A "data interface" is an interface used for communicating with external information sources.

[0730] This invention relates to a system for efficiently and flexibly processing user requests to stop receiving unwanted information.

[0731] Specifically, the process begins with the user using their information terminal to select the categories they wish to unsubscribe from on a web interface and entering the necessary information. This constitutes the user's unsubscribe request. This information is immediately transmitted from the terminal to the server.

[0732] Within the server, the communication device first processes the received data, and then the emotion recognition device analyzes the user's emotional state. The emotion recognition device determines emotions using the user's input method, past behavioral history, and, in some cases, voice data. Generative AI models are used in this analysis, and technologies such as natural language processing and image recognition may be employed.

[0733] Next, the server uses an AI controller to determine the priority of unsubscribe requests based on the output of the emotion recognition device. Requests with high priority are processed particularly quickly. The AI ​​controller also interacts with external information sources through a data interface to process requests appropriately.

[0734] As a concrete example, if the emotion recognition device detects that a user is experiencing stress, the server will immediately process it as a high-priority request and notify the user of the result. This notification will be a customized message, such as, "We apologize for the inconvenience. We will do our best to reduce unnecessary communication in the future."

[0735] An example of a prompt might be, "How can I generate feedback messages based on the user's emotional state?"

[0736] This invention enables responses based on the user's emotional state, thereby providing a more personalized user experience.

[0737] The flow of the specific processing in Example 2 will be explained using Figure 13.

[0738] Step 1:

[0739] The user uses an information terminal to select the categories they wish to unsubscribe from on the web interface and enters their email address. This confirms the unsubscribe request and generates input data. This data includes the unsubscribe request and user identification information.

[0740] Step 2:

[0741] The terminal immediately sends the user's input data to the server. The data is transmitted via a secure protocol (e.g., HTTPS). The server receives this data and prepares it for further processing. The input data contains information about the user's request.

[0742] Step 3:

[0743] The server analyzes the data received using a communication device and evaluates the user's emotional state using an emotion recognition device. This process utilizes the user's input method, past behavioral history, and, in some cases, voice data. The emotion recognition device uses a generative AI model to analyze the user's emotions and output emotion evaluation data.

[0744] Step 4:

[0745] The server operates an AI control unit based on emotion evaluation data from the emotion recognition device. This AI control unit determines the priority of unsubscribe requests and plans the order in which to process the requests. High-priority requests are configured to be processed especially quickly. The output of this process is the determination of processing priority.

[0746] Step 5:

[0747] The server uses an AI control unit to execute priority-based data cessation requests. It interacts with external information sources via a data interface to stop fixed and dynamic data. The results are notified to the user, along with a customized message that is generated at that time.

[0748] Step 6:

[0749] The device receives a notification from the server and presents it to the user. The notification includes confirmation of the successful unsubscribe and details, and is provided in a user-friendly format (e.g., screen display or email). This output allows the user to confirm that the process is complete and to feel reassured.

[0750] (Application Example 2)

[0751] 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".

[0752] Traditionally, when users requested to unsubscribe from direct mail, the process was simple and uniform, lacking individualized responses tailored to their emotional state. This led to increased user dissatisfaction and stress. Furthermore, delays in the unsubscribe process negatively impacted the user experience.

[0753] 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.

[0754] In this invention, the server includes means for receiving unsubscribe requests from users, means for analyzing the user's emotional state using emotion recognition technology, means for adjusting the priority of unsubscribe processing based on the analysis results, and means for generating and sending customized notifications to users. This enables flexible and rapid unsubscribe procedures that respond to the user's emotions.

[0755] A "user" is an individual or organization that uses the system to request to stop receiving direct mail.

[0756] A "request to unsubscribe" is an instruction issued by a user to stop receiving specific direct mail or informational communications.

[0757] An "AI agent" is software that uses artificial intelligence technology to process user requests and assist in decision-making.

[0758] "Emotion recognition technology" is a technology that analyzes a user's voice, text input, and other behavioral data to detect their emotional state.

[0759] "Means for adjusting priorities" refers to functions that change the urgency and order of processing based on the analyzed emotional state of the user.

[0760] A "customized notification" is a message that delivers information to the user that has been tailored to their emotions and preferences.

[0761] "Means of generating and sending notifications to users" refers to the process of creating customized messages and delivering them to the user's device.

[0762] The system for implementing the present invention mainly consists of a user, a terminal, and a server. This system performs a series of procedures for unsubscribing from direct mail and executes the optimal processing based on the user's emotional state.

[0763] Users submit unsubscribe requests via their devices. These devices are equipped with emotion recognition technology, which analyzes the user's emotional state from their voice and text. Specifically, it collects and analyzes information such as word choice, typing speed, and touch pressure.

[0764] The analyzed emotional data is sent from the device to the server. The server uses this data to adjust the priority of the unsubscribe process through an AI agent. For example, if the user is experiencing stress, the process is given high priority and executed immediately.

[0765] After the server completes the process of unsubscribing, it generates a customized notification. This notification is designed to be emotionally sensitive and reassuring to the user. The generated notification is sent to and displayed on the user's device.

[0766] For example, if a user enters "I don't want any more promotional emails" in an irritated tone, emotion recognition technology will detect that stress, and the server will immediately stop sending emails and send a message saying, "We understand you're having trouble. Please rest assured that we'll address the issue immediately."

[0767] As an example of a prompt, the AI ​​agent might be given the instruction, "Analyze the sentiments of users who wish to unsubscribe from promotional emails and determine the best course of action."

[0768] The flow of a specific process in Application Example 2 will be explained using Figure 14.

[0769] Step 1:

[0770] The user uses their device to enter the categories and email address they wish to unsubscribe from. The categories and email address are sent to the device as input data. This input triggers an unsubscribe request to the system.

[0771] Step 2:

[0772] The device collects user voice input, text data, and touch patterns, and uses emotion recognition technology to analyze the user's emotional state. This analysis includes voice tone analysis and keystroke rhythm analysis. The analysis results output emotions such as whether the user is relaxed or stressed.

[0773] Step 3:

[0774] The device sends the user's unsubscribe request and sentiment analysis results to the server. This data transmission takes place over the network and provides baseline data to initiate processing on the server side.

[0775] Step 4:

[0776] Based on the received sentiment analysis results, the server's AI agent determines the priority of the unsubscribe process. For example, if the user's emotions indicate a stressed state, the process will proceed with high priority. This ensures that the unsubscribe process is carried out quickly.

[0777] Step 5:

[0778] The server sends an unsubscribe request to the delivery company's database via API. The API communication receives status information to confirm that the unsubscribe has been processed.

[0779] Step 6:

[0780] The server uses an AI model to generate customized messages that respond to the user's emotions and sends them to the user's device. For example, it might send a message like, "I understand you're having trouble. Please don't worry, we'll take care of it right away," showing consideration for the user's feelings.

[0781] Step 7:

[0782] The device notifies the user that the unsubscribe process is complete by displaying the sent customized message on the user's screen. This message display is an important interaction for increasing user satisfaction.

[0783] 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.

[0784] 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.

[0785] 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.

[0786] 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.

[0787] 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. In the upper and lower directions of the concentric circles, emotions that are generally generated from reactions occurring in the brain and induced by situational judgment are located. Also, the upper side of the concentric circles is where "pleasant" emotions are located, and the lower side is where "unpleasant" emotions are located. In this way, 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.

[0788] 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.

[0789] 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.

[0790] 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.

[0791] 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."

[0792] 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.

[0793] 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.

[0794] 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.

[0795] 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.

[0796] 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.

[0797] 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.

[0798] 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.

[0799] 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.

[0800] 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.

[0801] 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.

[0802] 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.

[0803] All documents, patent applications, and technical standards described herein are incorporated by reference to the same extent as if each individual document, patent application, and technical standard were specifically and individually noted as being incorporated by reference.

[0804] The following is further disclosed regarding the embodiments described above.

[0805] (Claim 1)

[0806] A means of receiving a request from a user to unsubscribe,

[0807] A method for using an AI agent to send an unsubscribe request to the target distributor,

[0808] A means of receiving the results of an unsubscribe request and notifying the user,

[0809] A system that includes this.

[0810] (Claim 2)

[0811] The system according to claim 1, further comprising means for obtaining necessary information from a specific source database based on a user's request to unsubscribe.

[0812] (Claim 3)

[0813] The system according to claim 1, comprising means for an AI agent to use an API to forward an unsubscribe request to the sender.

[0814] "Example 1"

[0815] (Claim 1)

[0816] A means of providing an interface for users to enter their email address and unsubscribe category,

[0817] A means of receiving a user's unsubscribe request and identifying the target sender by referring to the sender database,

[0818] A method for preparing unsubscribe requests according to the API specifications of each distribution source using an AI agent,

[0819] A means of sending an unsubscribe request to the sender via the terminal using an API,

[0820] A means of receiving the results of an unsubscribe request and notifying the user,

[0821] A system that includes this.

[0822] (Claim 2)

[0823] The system according to claim 1, further comprising means for an AI agent to generate an optimal list of sources based on user input.

[0824] (Claim 3)

[0825] The system according to claim 1, which includes means for performing a batch unsubscribe procedure for multiple types of information received by a user.

[0826] "Application Example 1"

[0827] (Claim 1)

[0828] A means of receiving a request from a user to unsubscribe,

[0829] A means of using an AI agent to send an unsubscribe request to the target distribution source,

[0830] A means of receiving the results of an unsubscribe request and notifying the user,

[0831] A means for classifying communications received from a user's electronic information account,

[0832] A means of centrally managing user unsubscribe requests based on specific types of messages,

[0833] A system that includes this.

[0834] (Claim 2)

[0835] The system according to claim 1, further comprising means for obtaining necessary information from a specific source record collection based on a user's request to unsubscribe.

[0836] (Claim 3)

[0837] The system according to claim 1, comprising means for an AI agent to forward a delivery stop request to a delivery source using an external communication interface.

[0838] "Example 2 of combining an emotion engine"

[0839] (Claim 1)

[0840] A means by which a user requests to stop distribution via an information terminal and transmits that information to a communication device,

[0841] A means for operating an emotion recognition device to analyze user information and emotional state received by a communication device,

[0842] A means by which an AI control device adjusts the priority of unsubscribe requests based on the user's emotional state analyzed using an emotion recognition device,

[0843] An AI control device executes a request to stop distribution according to priority and a means of notifying the user of the result,

[0844] A system that includes this.

[0845] (Claim 2)

[0846] The system according to claim 1, further comprising means for obtaining necessary information from a specific information database based on user input and supplying it to an emotion recognition device.

[0847] (Claim 3)

[0848] The system according to claim 1, wherein the AI ​​control device includes means for forwarding a delivery stop request to an external information source using a data interface.

[0849] "Application example 2 when combining with an emotional engine"

[0850] (Claim 1)

[0851] A means of receiving a request from a user to unsubscribe,

[0852] A method for using an AI agent to send an unsubscribe request to the target distributor,

[0853] A means of receiving the results of an unsubscribe request and notifying the user,

[0854] A method for analyzing a user's emotional state using emotion recognition technology,

[0855] A means to adjust the priority of the unsubscribe process based on the analysis results,

[0856] A means of generating and sending customized notifications to users,

[0857] A system that includes this.

[0858] (Claim 2)

[0859] The system according to claim 1, further comprising means for obtaining necessary information from a specific source database based on a user's request to unsubscribe.

[0860] (Claim 3)

[0861] The system according to claim 1, comprising means for an AI agent to use an API to forward an unsubscribe request to the sender, and means for generating a dynamic message corresponding to an emotional state. [Explanation of Symbols]

[0862] 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 receiving a request from a user to unsubscribe, A means of using an AI agent to send an unsubscribe request to the target distribution source, A means of receiving the results of an unsubscribe request and notifying the user, A means for classifying communications received from a user's electronic information account, A means of centrally managing user unsubscribe requests based on specific types of messages, A system that includes this.

2. The system according to claim 1, further comprising means for obtaining necessary information from a specific source record collection based on a user's request to unsubscribe.

3. The system according to claim 1, comprising means for an AI agent to forward a delivery stop request to the delivery source using an external communication interface.

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