System

Abstract

A system is provided.SOLUTION: A system comprising: user interface means for receiving information entered by a user; transmitting means for transmitting the entered information to a server; suggestion generating means for generating a suggestion for a AI engine of the server to select an appropriate good or service based on the entered information; and displaying means for displaying the suggested result to the user.SELECTED DRAWING: Figure 1

Description

[Technical Field]

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

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

[0003] [Patent Document 1] Japanese Patent Publication No. 2022-180282 Summary of the Invention [Problem to be solved by the invention]

[0004] When giving a gift, it is difficult to choose the right item, especially when it is based on the recipient's preferences and relationship. There is a need for a system that can resolve this issue and allow users to easily select the perfect gift. It is also important to provide an explanation of the reasons for the suggested gifts so that users can make a convincing choice. [Means for solving the problem]

[0005] The present invention solves the above-mentioned problems with a system including a user interface means, a transmission means, a proposal generation means, and a display means. Specifically, the system allows users to input information such as the reason for giving the gift, their budget, the recipient's attributes, and their relationship with the recipient through a user interface means that receives the input information. Next, the system has a proposal generation means that sends the input information to a server using a transmission means, and an AI engine in the server selects appropriate products and services based on the input information. Furthermore, the system provides a mechanism that presents the user with the selection results and the reasons for the proposal, giving them a sense of satisfaction. In this way, a system is realized that allows users to easily select and give the perfect gift.

[0006] "User interface means" means a means with a screen or interactive function that allows a user to input information into the system.

[0007] "Transmission means" refers to a means having a function for transmitting information input by a user to a server.

[0008] A "proposal generation means" is a means in which an AI engine within the server has the function of searching for and selecting appropriate products and services based on information input by the user.

[0009] The "display means" is a means including a function for visually presenting the proposal results and the reasons for the proposal sent from the server to the user.

[0010] A "server" is a central processing unit that receives and processes information sent by users.

[0011] An "AI engine" is software that uses artificial intelligence to analyze input information and generate optimal suggestions.

[0012] "Goods and Services" includes any items or experiences that a User may gift to a Target Person.

[0013] The "reason for proposal" is a statement explaining why the selected product or service is appropriate.

[0014] "API" stands for Application Program Interface, a set of rules for exchanging data and functions between different software programs. [Brief explanation of the drawings]

[0015] [Figure 1] 1 is a conceptual diagram showing an example of the configuration of a data processing system according to a first embodiment. [Figure 2] 1 is a conceptual diagram showing an example of main functions of a data processing device and a smart device according to a first embodiment. [Figure 3] FIG. 10 is a conceptual diagram showing an example of the configuration of a data processing system according to a second embodiment. [Figure 4] FIG. 10 is a conceptual diagram showing an example of main functions of a data processing device and smart glasses according to a second embodiment. [Figure 5] FIG. 10 is a conceptual diagram showing an example of the configuration of a data processing system according to a third embodiment. [Figure 6] FIG. 11 is a conceptual diagram showing an example of main functions of a data processing device and a headset-type terminal according to a third embodiment. [Figure 7] FIG. 10 is a conceptual diagram showing an example of the configuration of a data processing system according to a fourth embodiment. [Figure 8] FIG. 10 is a conceptual diagram showing an example of main functions of a data processing device and a robot according to a fourth embodiment. [Figure 9] 1 shows an emotion map onto which multiple emotions are mapped. [Figure 10] 1 shows an emotion map onto which multiple emotions are mapped. [Figure 11] FIG. 3 is a sequence diagram showing a processing flow of the data processing system according to the first embodiment. [Figure 12] FIG. 10 is a sequence diagram showing the flow of processing in the data processing system in Application Example 1. [Figure 13]FIG. 10 is a sequence diagram showing the flow of processing in the data processing system according to the second embodiment when an emotion engine is combined. [Figure 14] FIG. 10 is a sequence diagram showing the flow of processing in the data processing system in Application Example 2 when an emotion engine is combined. DETAILED DESCRIPTION OF THE INVENTION

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

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

[0018] In the following embodiments, a coded processor (hereinafter simply referred to as a "processor") may be a single arithmetic device or a combination of multiple arithmetic devices. Furthermore, a processor may be a single type of arithmetic device or a combination of multiple types of arithmetic devices. Examples of arithmetic devices include a CPU (Central Processing Unit), a GPU (Graphics Processing Unit), a GPGPU (General-Purpose computing on Graphics Processing Units), and an APU (Accelerated Processing Unit).

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

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

[0021] In the following embodiments, a communication I / F (Interface) with a symbol is an interface including a communication processor, an antenna, etc. The communication I / F controls communication between multiple computers. Examples of communication standards applied to the communication I / F include wireless communication standards including 5G (5th Generation Mobile Communication System), Wi-Fi (registered trademark), Bluetooth (registered trademark), etc.

[0022] In the following embodiments, "A and / or B" is synonymous with "at least one of A and B." In other words, "A and / or B" means that it may be only A, only B, or a combination of A and B. Furthermore, in this specification, the same concept as "A and / or B" is also applied when three or more things are expressed connected by "and / or."

[0023] [First embodiment]

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

[0025] 1, a data processing system 10 includes a data processing device 12 and a smart device 14. An example of the data processing device 12 is a server.

[0026] The data processing device 12 includes a computer 22, a database 24, and a communication I / F 26. The computer 22 is an example of a "computer" according to the technology of the present disclosure. The computer 22 includes a processor 28, a RAM 30, and a storage 32. The processor 28, the RAM 30, and the storage 32 are connected to a bus 34. The database 24 and the communication I / F 26 are also connected to the bus 34. The communication I / F 26 is connected to a network 54. Examples of the network 54 include a WAN (Wide Area Network) and / or a LAN (Local Area Network).

[0027] The smart device 14 includes a computer 36, a reception device 38, an output device 40, a camera 42, and a communication I / F 44. The computer 36 includes a processor 46, a RAM 48, and a storage 50. The processor 46, the RAM 48, and the storage 50 are connected to a bus 52. The reception device 38, the output device 40, and the camera 42 are also connected to the bus 52.

[0028] The reception device 38 includes a touch panel 38A, a microphone 38B, and the like, and receives user input. The touch panel 38A detects contact with an indicator (for example, a pen or a finger) to receive user input by the touch of the indicator. The microphone 38B detects the user's voice to receive user input by voice. The control unit 46A transmits data indicating the user input received by the touch panel 38A and the microphone 38B to the data processing device 12. In the data processing device 12, the specific processing unit 290 acquires the data indicating the user input.

[0029] The output device 40 includes a display 40A and a speaker 40B, and presents data to the user 20 by outputting the data in a form of expression that the user 20 can perceive (for example, audio and / or text). The display 40A displays visible information such as text and images in accordance with instructions from the processor 46. The speaker 40B outputs audio in accordance with instructions from the processor 46. The camera 42 is a compact digital camera equipped with an optical system including a lens, aperture, and shutter, and an imaging element such as a CMOS (Complementary Metal-Oxide-Semiconductor) image sensor or a CCD (Charge Coupled Device) image sensor.

[0030] The communication I / F 44 is connected to a network 54. The communication I / Fs 44 and 26 control the exchange of various information between the processor 46 and the processor 28 via the network 54.

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

[0032] 2, in the data processing device 12, a specific process is performed by the processor 28. A specific processing program 56 is stored in the storage 32. The specific processing program 56 is an example of a "program" according to the technology of the present disclosure. The processor 28 reads the specific processing program 56 from the storage 32 and executes the read specific processing program 56 on the RAM 30. The specific process is realized by the processor 28 operating as a specific processing unit 290 in accordance with the specific processing program 56 executed on the RAM 30.

[0033] The storage 32 stores a data generation model 58 and an emotion identification model 59. The data generation model 58 and the emotion identification model 59 are used by the identification processing unit 290.

[0034] In the smart device 14, the processor 46 performs the reception output process. The storage 50 stores a reception output program 60. The reception output program 60 is used in conjunction with the specific processing program 56 by the data processing system 10. The processor 46 reads the reception output program 60 from the storage 50 and executes the read reception output program 60 on the RAM 48. The reception output process is realized by the processor 46 operating as the control unit 46A in accordance with the reception output program 60 executed on the RAM 48.

[0035] Next, a description will be given of the specific processing performed by the specific processing unit 290 of the data processing device 12. In the following description, the data processing device 12 will be referred to as a "server" and the smart device 14 will be referred to as a "terminal."

[0036] This invention is a system that uses a messaging application to suggest gifts, and AI suggests the most suitable gift based on information entered by the user, allowing the user to easily select a gift and give it to the recipient. The system mainly includes a user interface means, a sending means, a suggestion generation means, and a display means.

[0037] System Components

[0038] 1. User Interface Methods

[0039] Device:

[0040] A screen is provided where users can enter information such as the reason for the gift, budget, the recipient's attributes, and their relationship with the recipient.

[0041] 2. Transmission Method

[0042] Device:

[0043] It has the function of generating and sending API requests to send information entered by the user to the server.

[0044] 3. Proposal generation means

[0045] server:

[0046] Receives API requests and analyzes user input information using an AI engine.

[0047] Search and select appropriate products and services through the API of the intermediary service.

[0048] A reason for the selection is generated, and a response is generated to be sent to the user together with the proposal results.

[0049] 4. Display means

[0050] Device:

[0051] The proposal results and the reasons for the proposal sent from the server are displayed on the user interface.

[0052] Program processing

[0053] Receiving and sending input information

[0054] The user enters the reason for the gift (e.g., birthday), budget (e.g., 5,000 yen), the recipient's attributes (e.g., a woman in her 40s), and relationship to the recipient (e.g., close friend) through the settings screen of the messaging application. Then, the user clicks the "Generate Proposal" button.

[0055] The device formats the information entered by the user and sends it to the server as an API request, which includes the user ID, the input, and a timestamp.

[0056] Proposal generation and selection reasons

[0057] The server receives the API request, analyzes the input information, and passes it to the AI ​​concierge engine, which sets conditions based on the user's input information and searches for products and services using the API of the intermediary service.

[0058] For example, a search can be performed using conditions such as "women in their 40s," "birthday," and "under 5,000 yen."

[0059] From the search results, AI will select appropriate gift options (e.g., "luxury chocolate gift set" or "organic cosmetics set").

[0060] For each selected gift, the AI ​​generates a reason for the recommendation, such as, "This organic cosmetics set is popular among women in their 40s and is affordable within their budget."

[0061] The server formats the recommendation results and reasons for the recommendation from the AI ​​concierge engine and generates a response to send to the user's device.

[0062] Viewing and selecting suggestions

[0063] The device analyzes the response received from the server and displays suggestions to the user, including:

[0064] Product name (e.g. luxury chocolate gift set, organic cosmetics set)

[0065] price

[0066] image

[0067] Reason for recommendation ("This organic cosmetics set is popular among women in their 40s and is affordable within their budget.")

[0068] The user selects from the suggested gifts and clicks on the purchase or reservation link, after which the purchase or reservation procedure is carried out.

[0069] Specific examples

[0070] Example of a user wanting to send a birthday gift to a female friend in her 40s:

[0071] 1. The user enters "birthday," "under 5,000 yen," "female in her 40s," and "close friend," and clicks "Generate suggestions."

[0072] 2. The device sends the user input data to the server as an API request.

[0073] 3. The server receives the API request and passes the input information to the AI ​​concierge engine.

[0074] 4. The AI ​​concierge engine uses the criteria of "women in their 40s" and "under 5,000 yen" to search for products from the intermediary service's API and select items such as "organic cosmetics sets."

[0075] 5. The server sends the proposal result and the reason for the proposal to the terminal.

[0076] 6. The device displays the proposal and the reason for the proposal to the user.

[0077] 7. The user selects the "organic cosmetics set" and proceeds with the purchase.

[0078] In this way, the system helps users easily find and give the right gift without having to worry about choosing one.

[0079] The processing flow will be explained below.

[0080] Step 1:

[0081] The user opens the settings screen of the messaging application, enters the reason for the gift (e.g., birthday), budget (e.g., 5,000 yen), the recipient's attributes (e.g., female in her 40s), and relationship to the recipient (e.g., close friend), and then clicks the "Generate Proposal" button.

[0082] Step 2:

[0083] The device formats the information entered by the user into JSON format, which includes the user ID, timestamp, and input details (reason for gifting, budget, recipient's attributes, and relationship to recipient).

[0084] Step 3:

[0085] The device sends the formatted data to the server as an HTTP request using the secure HTTPS protocol.

[0086] Step 4:

[0087] The server receives the HTTP request, extracts the user-supplied information from the request body, and stores it in an internal data structure.

[0088] Step 5:

[0089] The server passes the extracted user input information to the AI ​​concierge engine, which involves formatting the input information into a form that the AI ​​engine can understand.

[0090] Step 6:

[0091] The AI ​​concierge engine analyzes the information entered by the user and selects appropriate products and services based on the conditions, which includes searching for products and services using the API of the intermediary service.

[0092] Step 7:

[0093] An AI concierge engine selects suitable gift ideas from search results based on criteria such as product popularity, reviews, price, and applicability.

[0094] Step 8:

[0095] The AI ​​concierge engine generates a reason for the selected gift, such as, "This organic cosmetics set is popular among women in their 40s and is affordable within their budget."

[0096] Step 9:

[0097] The server formats the recommendation results and the reason for the recommendation received from the AI ​​concierge engine and generates a response to send to the user's device. The response includes the product name, price, image, reason for the recommendation, and a purchase link.

[0098] Step 10:

[0099] The terminal analyzes the response received from the server and displays the proposal results on the user interface.

[0100] Step 11:

[0101] The user selects an appropriate gift from the displayed suggestions, clicks the purchase link for the selected gift, and proceeds with the purchase procedure.

[0102] Step 12:

[0103] The terminal notifies the server of the user's selection and performs additional processing to complete the purchase process, which may include processing payment information and entering shipping information.

[0104] By following these steps, users can easily and efficiently choose the perfect gift and send it to the recipient.

[0105] Example 1

[0106] Next, a description will be given of Example 1. In the following description, the data processing device 12 will be referred to as a "server" and the smart device 14 will be referred to as a "terminal."

[0107] When users select a gift, it is difficult to easily suggest the most suitable product or service based on appropriate information. In particular, there is a growing need for users to efficiently receive appropriate suggestions without spending time selecting a gift. Conventional systems have issues with insufficient analysis of user-entered information and generation of appropriate suggestions, and furthermore, they have difficulty guiding users to specific purchasing procedures based on the suggestions.

[0108] The specific processing by the specific processing unit 290 of the data processing device 12 in the first embodiment is realized by the following means.

[0109] In this invention, the server includes an information analysis means for analyzing user-entered information and generating prompt sentences using a generative AI model, a proposal generation means for searching for appropriate products and services using the intermediary service's API and selecting the most suitable candidates, and a display means for formatting and displaying the proposal results and the reasons for the proposal to the user. This makes it possible to efficiently suggest the most suitable gift based on the information entered by the user. Furthermore, by automatically generating the reasons for the proposal and providing a purchase link, the user can easily select the appropriate gift and proceed with the purchase process.

[0110] "User" refers to a person who uses the system to enter information to select and purchase gifts.

[0111] "Data input means" refers to an interface that allows the user to input information such as the reason for the gift, budget, the recipient's attributes, and the relationship with the recipient.

[0112] "Communication Means" refers to the technical means used to format and transmit information entered by a User to a Server.

[0113] "Information analysis means" refers to the technical means for analyzing input information sent by a user on the server and generating an appropriate prompt sentence.

[0114] A "generative AI model" refers to an artificial intelligence model that generates appropriate prompts and suggestions based on input information.

[0115] "Proposal generation means" refers to a technical means for searching for products and services using the API of an intermediary service based on prompt sentences generated by a generative AI model, and selecting the most suitable candidates.

[0116] "API for Intermediate Services" refers to an application program interface for providing product or service information using third-party services.

[0117] "Display means" refers to the technical means for displaying the proposal results and the reasons for the proposal on the user interface.

[0118] "Reasons for Proposal" refers to text that explains why the proposed product or service meets the user's criteria.

[0119] "User interface" refers to the screen and input devices that allow a user to interact with a system.

[0120] "Purchase Link" means a hyperlink that leads to the purchase process for the proposed goods or services.

[0121] "JSON format" is a lightweight data format used for data exchange, and refers to a text format based on JavaScript object notation.

[0122] This invention relates to a system that uses a messaging application to assist users in selecting a gift. This system provides a mechanism for users to easily select and give a gift by having AI suggest the most suitable gift based on information input by the user. The system mainly includes a user interface means, a communication means, an information analysis means, a suggestion generation means, and a display means.

[0123] User Interface Means

[0124] The device provides a screen where the user can enter information such as the reason for the gift, budget, the recipient's attributes, and their relationship to the recipient. For example, this role could be played by a smartphone application or a web application. The user enters the required information using text boxes and drop-down menus.

[0125] communication means

[0126] The device formats the information provided by the user and sends it to the server as an API request. Specifically, the communication protocol is HTTP POST request, and the data sent is formatted in JSON. The request includes the user ID, input content, and a timestamp.

[0127] Information analysis means

[0128] The server analyzes the API request received from the device and uses appropriate data analysis techniques to create a prompt sentence to pass the user's input information to a generative AI model, which can use natural language processing (NLP) techniques, for example.

[0129] Proposal generation means

[0130] The server uses the API of the intermediary service to search for appropriate products and services based on the prompt text created using the generative AI model. This can involve using external APIs such as Amazon's Product Advertising API or Rakuten's API. The server selects the best gift candidates from the search results and generates reasons for recommending them. Specifically, it creates reasons such as, "This organic cosmetics set is popular among women in their 40s and is affordable and within their budget."

[0131] Display means

[0132] The device analyzes the response sent from the server and displays the recommendations to the user. The displayed content includes the product name, price, image, and reason for the recommendation, allowing the user to make an appropriate selection. In addition, a link to purchase or reserve is displayed, allowing the user to easily proceed with the purchase or reservation process.

[0133] Specific examples

[0134] For example, if a user wants to choose a birthday gift for a female friend in her 40s, the following scenario could occur:

[0135] 1. The user enters "birthday," "under 5,000 yen," "female in her 40s," and "close friend," and clicks "Generate suggestions."

[0136] 2. The device sends the user input data to the server as an API request.

[0137] 3. The server receives the API request and passes the input information to the AI ​​concierge engine for analysis.

[0138] 4. The server uses the conditions "women in their 40s" and "under 5,000 yen" to search for products from the intermediary service's API and selects products such as "organic cosmetics sets."

[0139] 5. The server generates the reason for the recommendation, creating content such as, "This organic cosmetics set is popular among women in their 40s and is affordable within their budget."

[0140] 6. The device will display the offer and the reason for the offer to the user, and also provide a link to purchase.

[0141] Prompt Sentence Examples

[0142] "I'm sending a birthday present to a female friend in her 40s. Can you recommend a gift that costs under 5,000 yen?"

[0143] This system frees users from the tedious process of selecting a gift, allowing them to easily find and give the right gift.

[0144] The flow of the identification process in the first embodiment will be described with reference to FIG.

[0145] Step 1:

[0146] The user enters the reason for the gift (e.g., birthday), budget (e.g., 5,000 yen), recipient's attributes (e.g., woman in her 40s), and relationship to the recipient (e.g., close friend) on the settings screen of the messaging application. After entering the information, the user clicks the "Generate Proposal" button. The input data includes the reason for the gift, budget, recipient's attributes, and relationship. Specifically, the user enters / selects information using text boxes and drop-down menus.

[0147] Step 2:

[0148] The device collects the information entered by the user and formats it appropriately. The formatted information is prepared as JSON-formatted data. The input data includes the user ID, input content (reason for gift, budget, recipient's attributes, relationship), and timestamp. Specifically, a script such as JavaScript takes the user's input and converts it into a JSON object.

[0149] Step 3:

[0150] The terminal sends formatted JSON data to the server as an API request. The communication protocol used is an HTTP POST request. The input data is formatted JSON data, which is sent to the server and a response is waited for. Specifically, the API request is sent using XMLHttpRequest or Fetch API.

[0151] Step 4:

[0152] The server analyzes the API request received from the device. It checks the integrity of the received input data and authenticates it. The analyzed data includes the user ID, reason for gifting, budget, recipient's attributes, relationship, and timestamp. Specifically, it uses a server-side framework (e.g., Node.js or Django) to check the integrity of the data and parse it.

[0153] Step 5:

[0154] The server generates prompts to be passed to the generative AI model based on the received data. Data analysis includes natural language processing (NLP). To generate prompts, conditions must be set based on the input data (reason for gift-giving, budget, recipient attributes, relationship). Specifically, a script written in Python generates prompts based on the received data.

[0155] Step 6:

[0156] The server passes the generated prompt text to the AI ​​concierge engine and sets the search conditions. The API of the intermediary service is used to search for products and services. The prompt text (e.g., "Woman in her 40s," "Birthday," "Under 5,000 yen") is used as input data for the search. Specifically, the server calls external APIs such as the Amazon Product Advertising API and Rakuten API to perform a product search.

[0157] Step 7:

[0158] The server selects the best gift candidate from the search results and generates the reason for the selection. It generates the selected gift candidate (e.g., "organic cosmetics set") and the reason for the selection (e.g., "This organic cosmetics set is popular among women in their 40s and is affordable within their budget.") Specifically, it uses the text data generated by the AI ​​model to format the reason for the selection.

[0159] Step 8:

[0160] The server formats the recommendation results and the reason for the recommendation, generates a response, and sends it to the terminal. The response data includes the product name, price, image URL, and reason for the recommendation. Specifically, the server-side program creates an HTTP response and sends it to the terminal's endpoint.

[0161] Step 9:

[0162] The device analyzes the response received from the server, parses the received JSON data, and extracts the response data (product name, price, image, reason for recommendation). Specifically, the JavaScript code retrieves the HTTP response, parses the JSON data, and prepares it for display in the user interface.

[0163] Step 10:

[0164] The device then displays the received recommendations on a user interface. The displayed content includes the product name, price, image, and reason for the recommendation. Specifically, the content is dynamically updated and displayed using HTML and CSS with JavaScript.

[0165] Step 11:

[0166] The user selects from the suggested gifts and clicks on the purchase or reservation link. This redirects the user to an external purchase or reservation page, where the user can proceed with the purchase or reservation process. Specifically, clicking on the displayed link moves the browser to a new page.

[0167] This series of processes allows users to efficiently and easily select the most suitable gift and proceed with the procedure safely.

[0168] (Application example 1)

[0169] Next, a description will be given of Application Example 1. In the following description, the data processing device 12 will be referred to as a "server" and the smart device 14 will be referred to as a "terminal."

[0170] Previous gift selection systems only allowed users to enter information online, so they rarely supported in-store gift selection. Furthermore, their visual interfaces were limited, preventing users from receiving accurate, real-time recommendations for in-store product selection. Furthermore, they lacked a way to display detailed recommendations based on the user's specific requirements and budget.

[0171] The specific processing by the specific processing unit 290 of the data processing device 12 in the application example 1 is realized by the following means.

[0172] In this invention, the server includes a display device that receives information input by a user, a communication device that transmits the input information to a network device, a proposal generation device that allows an artificial intelligence engine of the network device to select appropriate goods or services based on the input information, and a display device that displays the proposed results to the user. This allows users to receive product proposals in real time using smart glasses and make appropriate selections even when selecting gifts in a physical store.

[0173] The "display device" is a device for visually displaying information input by the user and the results of suggestions from the server.

[0174] "Communication means" refers to a means for transmitting information input by a user to a network device.

[0175] A "network device" is a device that receives data sent from a user terminal and passes it on to an artificial intelligence engine.

[0176] An "artificial intelligence engine" is an engine that analyzes and selects appropriate goods and services based on information input by the user.

[0177] The "proposal generation means" is a means for using an artificial intelligence engine to select appropriate goods or services from the information input by the user and generate the selection results.

[0178] An "API for external services" is a program interface that allows a system to access data from other service providers and obtain the necessary information from them.

[0179] "Goods and Services" means any goods or services offered to Users.

[0180] The "reason for proposal" is information that explains why the proposed product or service meets the user's input conditions.

[0181] This invention is a system that uses smart glasses to allow users to receive appropriate product suggestions in real time when selecting a gift in a physical store. Specific methods for realizing this system are described below.

[0182] System configuration

[0183] The system mainly includes the following components:

[0184] 1. Display device means:

[0185] Devices that can display information visually, such as smart glasses.

[0186] 2. Means of communication:

[0187] A function for sending user-entered information to a network device.

[0188] 3. Network devices:

[0189] A device that receives data sent from the user terminal and passes it on to the artificial intelligence engine.

[0190] 4. Artificial Intelligence Engine:

[0191] An engine that selects products and services based on input information (e.g., TensorFlow, OpenAI GPT-3).

[0192] 5. Proposal generation means:

[0193] The API of the intermediary service is used to search for products, select appropriate candidates, and generate reasons for the proposal.

[0194] Program processing

[0195] The user wears the smart glasses and inputs the conditions of the gift (reason, budget, recipient's attributes, relationship) by voice input or touch operation. The smart glasses then transmit this information to the network device using a communication means.

[0196] The network device receives the user's input information and sends that data to an AI engine. The AI ​​engine analyzes the input information and calls the API of the intermediary service to search for appropriate products and services. For example, a search can be performed using conditions such as "women in their 40s" and "under 5,000 yen."

[0197] The products or services (e.g., organic cosmetics set) selected by the AI ​​engine are sent to the smart glasses via the network device along with appropriate reasons for the recommendation.

[0198] The smart glasses will display the received recommendations and the reasons for the recommendations to the user, who can then select from the displayed recommendations and proceed with the purchase or reservation process.

[0199] Specific examples

[0200] Example of a user wanting to send a birthday gift to a female friend in her 40s:

[0201] 1. The user enters "birthday," "under 5,000 yen," "female in her 40s," and "close friend," and sends the information through the smart glasses.

[0202] 2. The network device receives the user's input information and sends it to the artificial intelligence engine.

[0203] 3. The AI ​​engine searches for products using the intermediary service's API based on the input information and selects appropriate candidates (e.g., organic cosmetics sets).

[0204] 4. The smart glasses will display the selected products and the reasons for the recommendations to the user.

[0205] 5. The user selects from the suggested gifts and proceeds with the purchase.

[0206] Prompt Sentence Examples

[0207] A specific example of a prompt for a generative AI model is as follows:

[0208] Generate suggestions to help users choose a gift based on the following criteria:

[0209] Target: Women in their 40s

[0210] Budget: Under 5,000 yen

[0211] Relationship: Close friends

[0212] Product: Organic cosmetics set

[0213] Reason for proposal:

[0214] The system allows users to easily find and select suitable gifts in real time using smart glasses in physical stores.

[0215] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[0216] Step 1:

[0217] The user puts on the smart glasses and inputs the conditions of the gift by voice input or touch operation. The input information includes the reason for the gift (e.g., birthday), budget (e.g., 5,000 yen), attributes of the recipient (e.g., woman in her 40s), and relationship with the recipient (e.g., close friend). This information is displayed on the user interface using the smart glasses' display device.

[0218] Step 2:

[0219] The device uses a communication method to receive the information entered by the user, format it, and send it to the network device, which generates an API request containing the user ID, the input, and a timestamp, and sends it to the network device.

[0220] Step 3:

[0221] The network device receives user input and sends the data to the AI ​​engine, which analyzes the input for each user and sets parameters for recommending appropriate products and services based on each user's criteria.

[0222] Step 4:

[0223] The AI ​​engine analyzes data based on input information received from the network device. The analysis takes into account the other party's attributes, budget, reason, relationship, etc., and sets conditions to search for appropriate products and services. For example, conditions such as "women in their 40s" and "under 5,000 yen" are used.

[0224] Step 5:

[0225] The AI ​​engine uses the intermediary service's API to search for products and services that match the criteria. Appropriate product candidates (e.g., organic cosmetic sets) are extracted as search results. An AI model (e.g., OpenAI GPT-3) generates the reasons for the selection, and the proposal and its reasons are sent to the network device.

[0226] Step 6:

[0227] The network device formats the recommendation results and the reasons for the recommendation received from the AI ​​engine and sends them to the terminal. The transmitted content includes the product name, price, image, and reason for the recommendation.

[0228] Step 7:

[0229] The terminal displays the received recommendation result and the reason for recommendation on the display device of the smart glasses. The displayed content includes the product name, price, image, and the generated reason for recommendation.

[0230] Step 8:

[0231] The user reviews the suggestions displayed on the smart glasses and selects the products they are interested in. The selected products are then processed through the terminal via the corresponding purchase or reservation links.

[0232] Furthermore, an emotion engine that estimates the user's emotion may be combined. That is, the identification processing unit 290 may estimate the user's emotion using the emotion identification model 59 and perform identification processing using the user's emotion.

[0233] This invention relates to a system that recognizes a user's emotions and makes suggestions based on that information, allowing the user to select the most suitable gift. The system includes a user interface, a sending unit, a suggestion generating unit, a display unit, and an emotion engine.

[0234] System Components

[0235] 1. User Interface Methods

[0236] Device:

[0237] A screen is provided where users can enter information such as the reason for the gift, budget, the recipient's attributes, and their relationship with the recipient.

[0238] It has the ability to collect emotional data using a camera and microphone to capture the user's facial expressions and voice.

[0239] 2. Transmission Method

[0240] Device:

[0241] It has the function of generating and sending API requests to send the information and emotion data entered by the user to the server.

[0242] 3. Emotion Engine

[0243] server:

[0244] The received emotional data is analyzed to determine the user's emotional state, which is classified into categories such as joy, sadness, surprise, anger, and anxiety.

[0245] 4. Proposal generation means

[0246] server:

[0247] Select appropriate products and services based on the user's input information and emotional state from the emotion engine.

[0248] Products and services are searched for using the API of the intermediary service, and selection criteria include prioritization based on emotional state.

[0249] 5. Display means

[0250] Device:

[0251] The proposal results and the reasons for the proposal sent from the server are displayed on the user interface.

[0252] Program processing

[0253] Receiving and sending information and emotional data

[0254] The user enters the reason for the gift (e.g., birthday), budget (e.g., 5,000 yen), the recipient's attributes (e.g., a woman in her 40s), and relationship to the recipient (e.g., close friend) through the settings screen of the messaging application. Facial expression and voice data are also collected through the camera and microphone. Then, the user clicks the "Generate Proposal" button.

[0255] The device formats the user's input and collected emotion data and sends an API request to the server, including the user ID, timestamp, input, and emotion data.

[0256] Suggestion generation and emotional state analysis

[0257] The server receives the HTTP request, extracts the user input information and emotion data from the request body, and stores the extracted information in a data structure within the server.

[0258] The emotion engine analyzes the extracted emotion data and determines the user's emotional state, for example categorizing the user's smiling face as "joy," a serious face as "concentration," or a sad face as "sadness."

[0259] The proposal generator selects products and services based on the user's input information and the emotional state from the emotion engine. It searches for products and services using the API of the intermediary service and adjusts the priority of the search results based on the emotional state.

[0260] For example, if a user is in a "joy" emotional state, entertainment-related products and items that enhance a celebratory mood will be prioritized.

[0261] If the emotional state is "sad," relaxation items to lift the mood or products intended to provide comfort will be selected.

[0262] For each selected gift, the AI ​​generates a reason for the suggestion, such as, "This organic cosmetics set is popular among women in their 40s and is affordable within their budget. It's a special gift that matches your emotional state."

[0263] The server formats the recommendation results and the reason for the recommendation received from the AI ​​concierge engine and generates a response to send to the user's device. The response includes the product name, price, image, reason for the recommendation, and a purchase link.

[0264] Viewing and selecting suggestions

[0265] The device analyzes the response received from the server and displays the suggestions in the user interface, including:

[0266] Product name (e.g. luxury chocolate gift set, organic cosmetics set)

[0267] price

[0268] image

[0269] Reason for recommendation ("This organic cosmetics set is popular among women in their 40s and is affordable within their budget. It's a special gift that matches your emotional state.")

[0270] The user selects from the suggested gifts and clicks on the purchase or reservation link, after which the purchase or reservation procedure is carried out.

[0271] Specific examples

[0272] For example, consider a user who wants to send a birthday gift to a female friend in her 40s and is in the happy emotional state:

[0273] 1. The user enters "birthday," "under 5,000 yen," "female in her 40s," and "close friends," and clicks "Generate Suggestions." The camera captures the user's smile.

[0274] 2. The device sends the user input data and emotion data to the server as an API request.

[0275] 3. The server receives the API request and passes the input information and emotion data to the AI ​​concierge engine.

[0276] 4. The emotion engine determines the user's emotional state as "joy."

[0277] 5. The proposal generation means searches preferentially for entertainment-related products that match "joy" and selects, for example, an "organic cosmetics set."

[0278] 6. The server sends the proposal result and the reason for the proposal to the terminal.

[0279] 7. The device displays the proposal and the reason for the proposal to the user.

[0280] 8. The user selects the proposed "organic cosmetics set" and proceeds with the purchase process.

[0281] In this way, a system can be realized that takes the user's emotions into consideration to make optimal gift suggestions and improve the user experience.

[0282] The processing flow will be explained below.

[0283] Step 1:

[0284] The user opens the settings screen of the messaging application and enters the reason for the gift (e.g., birthday), budget (e.g., 5,000 yen), the recipient's attributes (e.g., a woman in her 40s), and relationship to the recipient (e.g., close friend).Facial expression and voice data are also collected via the camera and microphone.

[0285] Step 2:

[0286] The device formats the information entered by the user and the collected emotional data into JSON format, which includes the user ID, timestamp, input content (reason for gifting, budget, recipient's attributes, relationship with recipient), and emotional data.

[0287] Step 3:

[0288] The device sends the formatted data to the server as an HTTP request using the secure HTTPS protocol.

[0289] Step 4:

[0290] The server receives the HTTP request, extracts the user input information and emotion data from the request body, and stores the extracted information in a data structure within the server.

[0291] Step 5:

[0292] The server passes the extracted emotion data to the emotion engine, which analyzes the data and determines the user's emotional state.

[0293] Step 6:

[0294] The emotion engine analyzes the user's facial expressions and voice data, classifying their emotional state into categories such as "happiness," "sadness," "surprise," "anger," and "anxiety," and then provides the classification results to the server's proposal generation means.

[0295] Step 7:

[0296] The server passes the emotional state data received from the emotion engine and user input information to the AI ​​concierge engine, which analyzes them and selects appropriate products and services based on the conditions.

[0297] Step 8:

[0298] The proposal generation means searches for products and services using the API of the intermediary service. For example, a search is performed using the conditions "women in their 40s," "birthday," and "under 5,000 yen."

[0299] Step 9:

[0300] A suggestion generator prioritizes search results according to the user's emotional state, for example, if the user is in a "joy" emotional state, entertainment-related products and products suitable for celebrations are prioritized.

[0301] Step 10:

[0302] The AI ​​concierge engine selects appropriate gift candidates from the search results. For example, it selects "organic cosmetics set" and suggests the following as the reason for the suggestion: "This organic cosmetics set is popular among women in their 40s and is affordable within your budget. It's a special gift that matches your emotional state."

[0303] Step 11:

[0304] The server formats the recommendation results and the reason for the recommendation received from the AI ​​concierge engine and generates a response to send to the user's device. The response includes the product name, price, image, reason for the recommendation, and a purchase link.

[0305] Step 12:

[0306] The terminal analyzes the response received from the server and displays the proposal results on the user interface.

[0307] Step 13:

[0308] The user selects an appropriate gift from the displayed suggestions, clicks the purchase link for the selected gift, and proceeds with the purchase procedure.

[0309] Step 14:

[0310] The terminal notifies the server of the user's selection and performs additional processing to complete the purchase process, which may include processing payment information and entering shipping information.

[0311] Through these steps, users can easily and efficiently choose the best gift that takes their emotions into consideration.

[0312] Example 2

[0313] Next, a description will be given of Example 2. In the following description, the data processing device 12 will be referred to as a "server" and the smart device 14 will be referred to as a "terminal."

[0314] Conventional gift suggestion systems only make suggestions based on information entered by the user, and do not take into account the user's emotions or mood, resulting in a poor user experience. Furthermore, if the suggested products or services are not appropriate for the user's current emotional state, user satisfaction may decrease. Furthermore, suggestions that do not take emotions into account may not adequately reflect the quality or suitability of the options, making it difficult to find the perfect gift.

[0315] The specific processing by the specific processing unit 290 of the data processing device 12 in the second embodiment is realized by the following means.

[0316] In this invention, the server includes a user interface means for the user to input information such as the reason for giving the gift, the budget, the recipient's attributes, and the relationship with the recipient, a transmission means for transmitting the input information and the user's facial expression and voice data to the server, an emotion engine for analyzing the emotion data received by the server and determining the user's emotional state, a proposal generation means for selecting appropriate products and services based on the user's input information and emotional state, and a display means for displaying the proposal results and the proposal reasons on the user interface. This makes it possible to suggest optimal gifts based on the user's emotional state, significantly improving the user experience.

[0317] "User interface means" refers to the screens and operating means through which the user inputs information and interacts with the system.

[0318] "Transmission means" refers to a function or device for transmitting information entered by the user and collected emotion data to the server.

[0319] An "emotion engine" is a function or program that analyzes emotional data received from a user and determines the user's emotional state.

[0320] The "proposal generation means" is a function or program that selects appropriate products and services based on the user's input information and the emotional state from the emotion engine.

[0321] "Display means" refers to a function or device for visually presenting the proposed results and the reasons for the proposal to the user.

[0322] "API" stands for Application Program Interface, and is a set of rules and methods for exchanging data between different software programs.

[0323] "Emotional data" is data collected from a user's facial expressions and voice, and is information used to analyze the user's emotional state.

[0324] The "reason for proposal" is information that explains to the user the criteria by which the proposed product or service was selected.

[0325] A "server" is a computer system that processes data received from a client and returns any necessary responses.

[0326] This invention relates to a system that recognizes a user's emotions and makes suggestions based on that information, allowing the user to select the most suitable gift. The system includes a user interface, a sending unit, a suggestion generating unit, a display unit, and an emotion engine.

[0327] System Components

[0328] 1. User Interface Methods

[0329] The device provides a screen where users can input information such as the reason for the gift, budget, the recipient's attributes, and their relationship with the recipient. It also has the ability to capture the user's facial expressions and voice using a camera and microphone to collect emotional data.

[0330] 2. Transmission Method

[0331] The device generates and sends an API request to the server to send the information entered by the user and the collected emotion data. This request includes the user ID, timestamp, input content, and emotion data.

[0332] 3. Emotion Engine

[0333] The server analyzes the received emotion data and determines the user's emotional state. Emotions are classified into categories such as happiness, sadness, surprise, anger, and anxiety. For example, if the user is smiling, it is considered "happiness," if they have a serious expression, it is considered "concentration," and if they have a sad expression, it is considered "sadness."

[0334] 4. Proposal generation means

[0335] The server selects appropriate products and services based on the user's input information and the emotional state from the emotion engine. It searches for products and services using the intermediary service's API and sets priorities based on the emotional state. For example, if the user is in a "joy" emotional state, entertainment-related products and items that enhance celebratory moods will be prioritized. If the user is in a "sad" emotional state, relaxation items to lighten the mood and products with a comforting message will be selected.

[0336] 5. Display means

[0337] The device displays the recommendation results and the reasons for the recommendation sent from the server on the user interface. The recommendation contents include the product name, price, image, reason for the recommendation, and a purchase link.

[0338] Specific examples

[0339] For example, consider a user who wants to send a birthday gift to a female friend in her 40s and is in the happy emotional state:

[0340] 1. The user enters "birthday," "under 5,000 yen," "female in her 40s," and "close friend," and clicks "Generate Suggestions." The camera captures the user's smile.

[0341] 2. The device sends the user input data and emotion data to the server as an API request.

[0342] 3. The server receives the API request and passes the input information and emotion data to the AI ​​concierge engine.

[0343] 4. The emotion engine determines the user's emotional state as "joy."

[0344] 5. The proposal generation means searches preferentially for entertainment-related products that match "joy" and selects, for example, an "organic cosmetics set."

[0345] 6. The server sends the proposal result and the reason for the proposal to the terminal.

[0346] 7. The device displays the suggestion and the reason for the suggestion to the user.

[0347] 8. The user selects the suggested "organic cosmetics set" and proceeds with the purchase process.

[0348] Example prompts to input to the generative AI model

[0349] "I want to send a birthday gift to a female friend in her 40s. The budget is within 5000 yen, and the user's emotional state is joy. I'm looking for suitable gift suggestions."

[0350] The flow of the identification process in the second embodiment will be described with reference to FIG.

[0351] Step 1:

[0352] The user enters information such as the reason for the gift, budget, the recipient's attributes, and the relationship with the recipient through the interface of the messaging application. Specifically, the user enters this information in text format into an input form displayed on the screen of a smartphone or PC. In addition, facial expression and voice data are collected using a camera and microphone. This data constitutes the user's input data and emotional data.

[0353] Input: Reason for gift, budget, recipient's attributes, relationship with recipient, facial expression data, voice data

[0354] Output: User input data, emotion data

[0355] Step 2:

[0356] The device generates an API request that includes the information entered by the user and the collected emotion data. Specifically, the device converts the entered text information and emotion data into JSON format data and prepares an HTTPS request to send it to the server. The request includes the user ID, timestamp, input content, and emotion data.

[0357] Input: User ID, timestamp, user input data, emotion data

[0358] Output: API request

[0359] Step 3:

[0360] The server analyzes the received API request. Specifically, the server extracts the user input information and emotion data from the request body and stores them in an internal data structure.

[0361] Input: API request

[0362] Output: Stored user input data and emotion data

[0363] Step 4:

[0364] The emotion engine analyzes the extracted emotion data and determines the user's emotional state. A generative AI model is used for the analysis. For example, if the user is smiling, it is classified as "joy," if they have a serious expression, it is classified as "concentration," and if they have a sad expression, it is classified as "sadness." This emotional state data is generated and stored in the server.

[0365] Input: Emotion data

[0366] Output: Emotional state data

[0367] Step 5:

[0368] The proposal generation means selects appropriate products and services based on the user's input data and emotional state data. Specifically, it searches for products and services using the API of the intermediary service and prioritizes the search results based on the user's emotional state. For example, if the user is in a "joy" emotional state, entertainment-related products are prioritized. It also generates proposal reasons and formats this data as a response.

[0369] Input: User input data, emotional state data

[0370] Output: Proposal result data, proposal reason

[0371] Step 6:

[0372] The server sends the generated proposal results and the proposal reasons to the terminal. Specifically, the server formats this data in JSON format and sends it to the terminal using the HTTPS protocol.

[0373] Input: Proposal result data, proposal reason

[0374] Output: Server response

[0375] Step 7:

[0376] The device analyzes the received response data and displays it on the user interface. Specifically, the device analyzes the JSON data and displays the product name, price, image, and reason for the suggestion on the screen. The user can confirm the suggested gift by viewing this information. For example, information such as a "luxury chocolate gift set" and an "organic cosmetics set" may be displayed on the smartphone screen.

[0377] Input: Server response

[0378] Output: The proposal displayed in the user interface

[0379] Step 8:

[0380] The user selects from the suggested gifts and clicks on the purchase or reservation link. They then follow the instructions to proceed with the purchase process. Specifically, the user taps the "Purchase" button, enters the necessary information in the purchase form, and completes the payment. During this process, the user views detailed information and links for the selected product and makes a final confirmation.

[0381] Input: Proposal content, purchase link

[0382] Output: Purchase completion data

[0383] (Application example 2)

[0384] Next, a description will be given of Application Example 2. In the following description, the data processing device 12 will be referred to as a "server" and the smart device 14 will be referred to as a "terminal."

[0385] On modern online shopping sites, users must compare and consider numerous product information to select the perfect gift, which takes time and effort. Furthermore, because the sites do not take into account the user's emotions, they often fail to provide suggestions that are appropriate for the user's mood or situation. This results in a poor user experience and makes it difficult to select the right gift.

[0386] The specific processing by the specific processing unit 290 of the data processing device 12 in the application example 2 is realized by the following means.

[0387] In this invention, the server includes a user interface means for receiving information and emotional data input by a user, a transmission means for transmitting the input information and emotional data to the server, a means for an emotion engine of the server to analyze the emotional data and determine the emotional state of the user, a proposal generation means for selecting appropriate products and services based on the determination result of the emotion engine and the input information, and a display means for displaying the proposal results and the reasons for the proposal to the user, thereby enabling optimal gift proposals that take the user's emotions into consideration.

[0388] The "user interface means" is a means for providing an interface function for a user to input input information and emotion data through a terminal and for receiving the input.

[0389] The "transmission means" has the function of formatting the information and emotion data input by the user into an appropriate format and transmitting them to the server.

[0390] An "emotion engine" is a software or hardware system that analyzes emotion data received at a server and identifies and determines the user's emotional state.

[0391] The "proposal generation means" has the function of selecting appropriate products and services and generating proposals for the user based on the input information and the emotional state determined by the emotion engine.

[0392] The "display means" provides an interface function for displaying the proposal results and the proposal reasons sent from the server on the user terminal.

[0393] This invention relates to a system for an online shopping site that recognizes a user's emotions and suggests the best gift for them. This system is implemented using a smartphone app or a head-mounted display (HMD).

[0394] 1. System Components

[0395] User Interface Means

[0396] The user interface means provides a user interface (UI) for the user to input information such as the reason for the gift, budget, the recipient's attributes, and the relationship with the recipient. Specifically, this includes smartphone applications and HMD applications. This interface has the function of collecting the user's facial expressions and voice using a camera and microphone and acquiring them as emotion data.

[0397] Transmission method

[0398] The transmission means is a means for transmitting the information entered by the user and the collected emotion data to the server. The smartphone app or HMD app formats this data as an API request and sends it to the server.

[0399] Emotion Engine

[0400] An emotion engine is a software or hardware system deployed on a server that analyzes received emotion data and determines the user's emotional state. The emotion engine uses a deep learning framework (e.g., TensorFlow, Keras) to analyze and classify emotion data.

[0401] Proposal generation means

[0402] The suggestion generator is responsible for selecting appropriate products and services based on the user's emotional state determined by the emotion engine and the user's input information. This is a backend service running on the server, and uses the API of the intermediary service (e.g., RESTful API) to search and select items from the product database. The reason for the suggestion is also generated and presented to the user.

[0403] Display means

[0404] The display means is a means for displaying the proposal results and the reasons for the proposal sent from the server on the user's device. The proposed product name, price, image, and reason for the proposal are displayed on the user interface of the smartphone app or HMD app.

[0405] 2. System Operation

[0406] The operation of this system will be explained below. Once the user inputs information and emotional data is collected, this data is sent to the server. The emotional engine analyzes the emotional data and determines the user's emotional state. Based on this result and the input information, the proposal generation means selects appropriate products and services and sends them from the server to the user's terminal along with the reason for the proposal. On the user's terminal, the proposal content is displayed on the user interface.

[0407] Examples:

[0408] For example, if a user inputs "birthday," "under 5,000 yen," "female in her 30s," and "colleague," and smiles, this information and emotional data are sent to the server, and the emotion engine determines that the emotion is "joy." Based on this information, the suggestion generation means selects entertainment-related products and items that will enhance the celebratory mood, such as a "luxury chocolate gift set."

[0409] Example prompt sentence:

[0410] An example of a prompt for generating suggestions is:

[0411] What is the best product to suggest when the user's emotion is "joy" for a "birthday," "under 5,000 yen," "female in her 30s," and "colleague"?

[0412] This system takes into account the user's emotions and makes it possible to suggest the most suitable gift.

[0413] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[0414] Step 1:

[0415] The user inputs information such as the reason for the gift, budget, the recipient's attributes, and relationship to the recipient into a smartphone app or HMD app. The app then uses a camera and microphone to collect the user's facial expressions and voice.

[0416] Input: Reason for gift, budget, recipient's attributes, relationship with recipient, facial expression data, voice data

[0417] Output: Input information and emotion data are stored in the device.

[0418] Step 2:

[0419] The device formats the information entered by the user and the collected emotion data, generates an API request containing them, and then sends the API request to the server.

[0420] Input: Input information, emotion data

[0421] Output: The API request is generated and sent to the server

[0422] Step 3:

[0423] The server analyzes the received API request and extracts the user input information and emotion data from the request body. The extracted information is stored in a data structure within the server.

[0424] Input: API request

[0425] Output: User input information and emotion data are stored in the server.

[0426] Step 4:

[0427] The server's emotion engine analyzes the extracted emotion data and determines the user's emotional state. Emotions are classified into categories such as joy, sadness, surprise, anger, and anxiety. This analysis is performed using deep learning frameworks (e.g., TensorFlow, Keras).

[0428] Input: Emotion data

[0429] Output: User's emotional state is classified

[0430] Step 5:

[0431] The server's proposal generation means selects appropriate products and services based on the user's input information and the judgment results of the emotion engine. It uses the intermediary service's API to search the product database and adjusts the priority based on the user's emotional state. It also generates proposal reasons.

[0432] Input: User input information, emotional state

[0433] Output: Proposed products and services and the reason for the proposal

[0434] Step 6:

[0435] The server then compiles the generated recommendation results and the reasons for the recommendation into response data, which it then transmits to the terminal. This response includes the product name, price, image, reason for the recommendation, and a purchase link.

[0436] Input: Proposed product, reason for proposal

[0437] Output: Response data is generated and sent to the device

[0438] Step 7:

[0439] The terminal analyzes the received response data and displays the proposed products on the user interface. The user can select from the proposed products and click on the link to purchase or reserve.

[0440] Input: Response data

[0441] Output: The proposal result and the proposal reason are displayed in the user interface.

[0442] The specific processing unit 290 transmits the result of the specific processing to the smart device 14. In the smart device 14, the control unit 46A causes the output device 40 to output the result of the specific processing. The microphone 38B acquires audio indicating a user input regarding the result of the specific processing. The control unit 46A transmits audio data indicating the user input acquired by the microphone 38B to the data processing device 12. In the data processing device 12, the specific processing unit 290 acquires the audio data.

[0443] The data generation model 58 is a so-called generative AI (Artificial Intelligence). An example of the data generation model 58 is ChatGPT (Internet Search<URL: https: / / openai.com / blog / chatgpt> ), Gemini (Internet search <url: https: gemini.google.com ?hl="ja">) and other generation AIs. The data generation model 58 is obtained by performing deep learning on a neural network. A prompt including an instruction is input to the data generation model 58, and inference data such as voice data indicating voice, text data indicating text, and image data indicating an image is also input. The data generation model 58 performs inference on the input inference data in accordance with the instruction indicated by the prompt, and outputs the inference result in a data format such as voice data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization.

[0444] In the above embodiment, an example in which the specific process is performed by the data processing device 12 has been given, but the technology of the present disclosure is not limited to this, and the specific process may be performed by the smart device 14.

[0445] [Second embodiment]

[0446] FIG. 3 shows an example of the configuration of a data processing system 210 according to the second embodiment.

[0447] 3, the data processing system 210 includes the data processing device 12 and smart glasses 214. An example of the data processing device 12 is a server.

[0448] The data processing device 12 includes a computer 22, a database 24, and a communication I / F 26. The computer 22 is an example of a "computer" according to the technology of the present disclosure. The computer 22 includes a processor 28, a RAM 30, and a storage 32. The processor 28, the RAM 30, and the storage 32 are connected to a bus 34. The database 24 and the communication I / F 26 are also connected to the bus 34. The communication I / F 26 is connected to a network 54. Examples of the network 54 include a WAN (Wide Area Network) and / or a LAN (Local Area Network).

[0449] The smart glasses 214 include a computer 36, a microphone 238, a speaker 240, a camera 42, and a communication I / F 44. The computer 36 includes a processor 46, a RAM 48, and a storage 50. The processor 46, the RAM 48, and the storage 50 are connected to a bus 52. The microphone 238, the speaker 240, and the camera 42 are also connected to the bus 52.

[0450] The microphone 238 receives instructions and the like from the user 20 by receiving voice uttered by the user 20. The microphone 238 captures the voice uttered by the user 20, converts the captured voice into audio data, and outputs it to the processor 46. The speaker 240 outputs audio in accordance with instructions from the processor 46.

[0451] Camera 42 is a small digital camera equipped with an optical system including a lens, aperture, and shutter, and an imaging element such as a CMOS (Complementary Metal-Oxide-Semiconductor) image sensor or a CCD (Charge Coupled Device) image sensor, and captures images of the surroundings of user 20 (for example, an imaging range defined by an angle of view equivalent to the field of vision of a typical healthy person).

[0452] The communication I / F 44 is connected to a network 54. The communication I / Fs 44 and 26 are responsible for the exchange of various information between the processor 46 and the processor 28 via the network 54. The exchange of various information between the processor 46 and the processor 28 using the communication I / Fs 44 and 26 is carried out in a secure state.

[0453] Fig. 4 shows an example of the main functions of the data processing device 12 and the smart glasses 214. As shown in Fig. 4, in the data processing device 12, a specific process is performed by the processor 28. A specific process program 56 is stored in the storage 32.

[0454] The specific processing program 56 is an example of a "program" according to the technology of the present disclosure. The processor 28 reads the specific processing program 56 from the storage 32 and executes the read specific processing program 56 on the RAM 30. The specific processing is realized by the processor 28 operating as a specific processing unit 290 in accordance with the specific processing program 56 executed on the RAM 30.

[0455] The storage 32 stores a data generation model 58 and an emotion identification model 59. The data generation model 58 and the emotion identification model 59 are used by the identification processing unit 290.

[0456] In the smart glasses 214, the reception output process is performed by the processor 46. A reception output program 60 is stored in the storage 50. The processor 46 reads the reception output program 60 from the storage 50 and executes the read reception output program 60 on the RAM 48. The reception output process is realized by the processor 46 operating as the control unit 46A in accordance with the reception output program 60 executed on the RAM 48.

[0457] Next, a description will be given of the identification process performed by the identification processing unit 290 of the data processing device 12. In the following description, the data processing device 12 will be referred to as the "server" and the smart glasses 214 will be referred to as the "terminal."

[0458] This invention is a system that uses a messaging application to suggest gifts, and AI suggests the most suitable gift based on information entered by the user, allowing the user to easily select a gift and give it to the recipient. The system mainly includes a user interface means, a sending means, a suggestion generation means, and a display means.

[0459] System Components

[0460] 1. User Interface Methods

[0461] Device:

[0462] A screen is provided where users can enter information such as the reason for the gift, budget, the recipient's attributes, and their relationship with the recipient.

[0463] 2. Transmission Method

[0464] Device:

[0465] It has the function of generating and sending API requests to send information entered by the user to the server.

[0466] 3. Proposal generation means

[0467] server:

[0468] Receives API requests and analyzes user input information using an AI engine.

[0469] Search and select appropriate products and services through the API of the intermediary service.

[0470] A reason for the selection is generated, and a response is generated to be sent to the user together with the proposal results.

[0471] 4. Display means

[0472] Device:

[0473] The proposal results and the reasons for the proposal sent from the server are displayed on the user interface.

[0474] Program processing

[0475] Receiving and sending input information

[0476] The user enters the reason for the gift (e.g., birthday), budget (e.g., 5,000 yen), the recipient's attributes (e.g., a woman in her 40s), and relationship to the recipient (e.g., close friend) through the settings screen of the messaging application. Then, the user clicks the "Generate Proposal" button.

[0477] The device formats the information entered by the user and sends it to the server as an API request, which includes the user ID, the input, and a timestamp.

[0478] Proposal generation and selection reasons

[0479] The server receives the API request, analyzes the input information, and passes it to the AI ​​concierge engine, which sets conditions based on the user's input information and searches for products and services using the API of the intermediary service.

[0480] For example, a search can be performed using conditions such as "women in their 40s," "birthday," and "under 5,000 yen."

[0481] From the search results, AI will select appropriate gift options (e.g., "luxury chocolate gift set" or "organic cosmetics set").

[0482] For each selected gift, the AI ​​generates a reason for the recommendation, such as, "This organic cosmetics set is popular among women in their 40s and is affordable within their budget."

[0483] The server formats the recommendation results and reasons for the recommendation from the AI ​​concierge engine and generates a response to send to the user's device.

[0484] Viewing and selecting suggestions

[0485] The device analyzes the response received from the server and displays suggestions to the user, including:

[0486] Product name (e.g. luxury chocolate gift set, organic cosmetics set)

[0487] price

[0488] image

[0489] Reason for recommendation ("This organic cosmetics set is popular among women in their 40s and is affordable within their budget.")

[0490] The user selects from the suggested gifts and clicks on the purchase or reservation link, after which the purchase or reservation procedure is carried out.

[0491] Specific examples

[0492] Example of a user wanting to send a birthday gift to a female friend in her 40s:

[0493] 1. The user enters "birthday," "under 5,000 yen," "female in her 40s," and "close friend," and clicks "Generate suggestions."

[0494] 2. The device sends the user input data to the server as an API request.

[0495] 3. The server receives the API request and passes the input information to the AI ​​concierge engine.

[0496] 4. The AI ​​concierge engine uses the criteria of "women in their 40s" and "under 5,000 yen" to search for products from the intermediary service's API and select items such as "organic cosmetics sets."

[0497] 5. The server sends the proposal result and the reason for the proposal to the terminal.

[0498] 6. The device displays the proposal and the reason for the proposal to the user.

[0499] 7. The user selects the "organic cosmetics set" and proceeds with the purchase.

[0500] In this way, the system helps users easily find and give the right gift without having to worry about choosing one.

[0501] The processing flow will be explained below.

[0502] Step 1:

[0503] The user opens the settings screen of the messaging application, enters the reason for the gift (e.g., birthday), budget (e.g., 5,000 yen), the recipient's attributes (e.g., female in her 40s), and relationship to the recipient (e.g., close friend), and then clicks the "Generate Proposal" button.

[0504] Step 2:

[0505] The device formats the information entered by the user into JSON format, which includes the user ID, timestamp, and input details (reason for gifting, budget, recipient's attributes, and relationship to recipient).

[0506] Step 3:

[0507] The device sends the formatted data to the server as an HTTP request using the secure HTTPS protocol.

[0508] Step 4:

[0509] The server receives the HTTP request, extracts the user-supplied information from the request body, and stores it in an internal data structure.

[0510] Step 5:

[0511] The server passes the extracted user input information to the AI ​​concierge engine, which involves formatting the input information into a form that the AI ​​engine can understand.

[0512] Step 6:

[0513] The AI ​​concierge engine analyzes the information entered by the user and selects appropriate products and services based on the conditions, which includes searching for products and services using the API of the intermediary service.

[0514] Step 7:

[0515] An AI concierge engine selects suitable gift ideas from search results based on criteria such as product popularity, reviews, price, and applicability.

[0516] Step 8:

[0517] The AI ​​concierge engine generates a reason for the selected gift, such as, "This organic cosmetics set is popular among women in their 40s and is affordable within their budget."

[0518] Step 9:

[0519] The server formats the recommendation results and the reason for the recommendation received from the AI ​​concierge engine and generates a response to send to the user's device. The response includes the product name, price, image, reason for the recommendation, and a purchase link.

[0520] Step 10:

[0521] The terminal analyzes the response received from the server and displays the proposal results on the user interface.

[0522] Step 11:

[0523] The user selects an appropriate gift from the displayed suggestions, clicks the purchase link for the selected gift, and proceeds with the purchase procedure.

[0524] Step 12:

[0525] The terminal notifies the server of the user's selection and performs additional processing to complete the purchase process, which may include processing payment information and entering shipping information.

[0526] By following these steps, users can easily and efficiently choose the perfect gift and send it to the recipient.

[0527] Example 1

[0528] Next, a description will be given of Example 1. In the following description, the data processing device 12 will be referred to as a "server" and the smart glasses 214 will be referred to as a "terminal."

[0529] When users select a gift, it is difficult to easily suggest the most suitable product or service based on appropriate information. In particular, there is a growing need for users to efficiently receive appropriate suggestions without spending time selecting a gift. Conventional systems have issues with insufficient analysis of user-entered information and generation of appropriate suggestions, and furthermore, they have difficulty guiding users to specific purchasing procedures based on the suggestions.

[0530] The specific processing by the specific processing unit 290 of the data processing device 12 in the first embodiment is realized by the following means.

[0531] In this invention, the server includes an information analysis means for analyzing user-entered information and generating prompt sentences using a generative AI model, a proposal generation means for searching for appropriate products and services using the intermediary service's API and selecting the most suitable candidates, and a display means for formatting and displaying the proposal results and the reasons for the proposal to the user. This makes it possible to efficiently suggest the most suitable gift based on the information entered by the user. Furthermore, by automatically generating the reasons for the proposal and providing a purchase link, the user can easily select the appropriate gift and proceed with the purchase process.

[0532] "User" refers to a person who uses the system to enter information to select and purchase gifts.

[0533] "Data input means" refers to an interface that allows the user to input information such as the reason for the gift, budget, the recipient's attributes, and the relationship with the recipient.

[0534] "Communication Means" refers to the technical means used to format and transmit information entered by a User to a Server.

[0535] "Information analysis means" refers to the technical means for analyzing input information sent by a user on the server and generating an appropriate prompt sentence.

[0536] A "generative AI model" refers to an artificial intelligence model that generates appropriate prompts and suggestions based on input information.

[0537] "Proposal generation means" refers to a technical means for searching for products and services using the API of an intermediary service based on prompt sentences generated by a generative AI model, and selecting the most suitable candidates.

[0538] "API for Intermediate Services" refers to an application program interface for providing product or service information using third-party services.

[0539] "Display means" refers to the technical means for displaying the proposal results and the reasons for the proposal on the user interface.

[0540] "Reasons for Proposal" refers to text that explains why the proposed product or service meets the user's criteria.

[0541] "User interface" refers to the screen and input devices that allow a user to interact with a system.

[0542] "Purchase Link" means a hyperlink that leads to the purchase process for the proposed goods or services.

[0543] "JSON format" is a lightweight data format used for data exchange, and refers to a text format based on JavaScript object notation.

[0544] This invention relates to a system that uses a messaging application to assist users in selecting a gift. This system provides a mechanism for users to easily select and give a gift by having AI suggest the most suitable gift based on information input by the user. The system mainly includes a user interface means, a communication means, an information analysis means, a suggestion generation means, and a display means.

[0545] User Interface Means

[0546] The device provides a screen where the user can enter information such as the reason for the gift, budget, the recipient's attributes, and their relationship to the recipient. For example, this role could be played by a smartphone application or a web application. The user enters the required information using text boxes and drop-down menus.

[0547] communication means

[0548] The device formats the information provided by the user and sends it to the server as an API request. Specifically, the communication protocol is HTTP POST request, and the data sent is formatted in JSON. The request includes the user ID, input content, and a timestamp.

[0549] Information analysis means

[0550] The server analyzes the API request received from the device and uses appropriate data analysis techniques to create a prompt sentence to pass the user's input information to a generative AI model, which can use natural language processing (NLP) techniques, for example.

[0551] Proposal generation means

[0552] The server uses the API of the intermediary service to search for appropriate products and services based on the prompt text created using the generative AI model. This can involve using external APIs such as Amazon's Product Advertising API or Rakuten's API. The server selects the best gift candidates from the search results and generates reasons for recommending them. Specifically, it creates reasons such as, "This organic cosmetics set is popular among women in their 40s and is affordable and within their budget."

[0553] Display means

[0554] The device analyzes the response sent from the server and displays the recommendations to the user. The displayed content includes the product name, price, image, and reason for the recommendation, allowing the user to make an appropriate selection. In addition, a link to purchase or reserve is displayed, allowing the user to easily proceed with the purchase or reservation process.

[0555] Specific examples

[0556] For example, if a user wants to choose a birthday gift for a female friend in her 40s, the following scenario could occur:

[0557] 1. The user enters "birthday," "under 5,000 yen," "female in her 40s," and "close friend," and clicks "Generate suggestions."

[0558] 2. The device sends the user input data to the server as an API request.

[0559] 3. The server receives the API request and passes the input information to the AI ​​concierge engine for analysis.

[0560] 4. The server uses the conditions "women in their 40s" and "under 5,000 yen" to search for products from the intermediary service's API and selects products such as "organic cosmetics sets."

[0561] 5. The server generates the reason for the recommendation, creating content such as, "This organic cosmetics set is popular among women in their 40s and is affordable within their budget."

[0562] 6. The device will display the offer and the reason for the offer to the user, and also provide a link to purchase.

[0563] Prompt Sentence Examples

[0564] "I'm sending a birthday present to a female friend in her 40s. Can you recommend a gift that costs under 5,000 yen?"

[0565] This system frees users from the tedious process of selecting a gift, allowing them to easily find and give the right gift.

[0566] The flow of the identification process in the first embodiment will be described with reference to FIG.

[0567] Step 1:

[0568] The user enters the reason for the gift (e.g., birthday), budget (e.g., 5,000 yen), recipient's attributes (e.g., woman in her 40s), and relationship to the recipient (e.g., close friend) on the settings screen of the messaging application. After entering the information, the user clicks the "Generate Proposal" button. The input data includes the reason for the gift, budget, recipient's attributes, and relationship. Specifically, the user enters / selects information using text boxes and drop-down menus.

[0569] Step 2:

[0570] The device collects the information entered by the user and formats it appropriately. The formatted information is prepared as JSON-formatted data. The input data includes the user ID, input content (reason for gift, budget, recipient's attributes, relationship), and timestamp. Specifically, a script such as JavaScript takes the user's input and converts it into a JSON object.

[0571] Step 3:

[0572] The terminal sends formatted JSON data to the server as an API request. The communication protocol used is an HTTP POST request. The input data is formatted JSON data, which is sent to the server and a response is waited for. Specifically, the API request is sent using XMLHttpRequest or Fetch API.

[0573] Step 4:

[0574] The server analyzes the API request received from the device. It checks the integrity of the received input data and authenticates it. The analyzed data includes the user ID, reason for gifting, budget, recipient's attributes, relationship, and timestamp. Specifically, it uses a server-side framework (e.g., Node.js or Django) to check the integrity of the data and parse it.

[0575] Step 5:

[0576] The server generates prompts to be passed to the generative AI model based on the received data. Data analysis includes natural language processing (NLP). To generate prompts, conditions must be set based on the input data (reason for gift-giving, budget, recipient attributes, relationship). Specifically, a script written in Python generates prompts based on the received data.

[0577] Step 6:

[0578] The server passes the generated prompt text to the AI ​​concierge engine and sets the search conditions. The API of the intermediary service is used to search for products and services. The prompt text (e.g., "Woman in her 40s," "Birthday," "Under 5,000 yen") is used as input data for the search. Specifically, the server calls external APIs such as the Amazon Product Advertising API and Rakuten API to perform a product search.

[0579] Step 7:

[0580] The server selects the best gift candidate from the search results and generates the reason for the selection. It generates the selected gift candidate (e.g., "organic cosmetics set") and the reason for the selection (e.g., "This organic cosmetics set is popular among women in their 40s and is affordable within their budget.") Specifically, it uses the text data generated by the AI ​​model to format the reason for the selection.

[0581] Step 8:

[0582] The server formats the recommendation results and the reason for the recommendation, generates a response, and sends it to the terminal. The response data includes the product name, price, image URL, and reason for the recommendation. Specifically, the server-side program creates an HTTP response and sends it to the terminal's endpoint.

[0583] Step 9:

[0584] The device analyzes the response received from the server, parses the received JSON data, and extracts the response data (product name, price, image, reason for recommendation). Specifically, the JavaScript code retrieves the HTTP response, parses the JSON data, and prepares it for display in the user interface.

[0585] Step 10:

[0586] The device then displays the received recommendations on a user interface. The displayed content includes the product name, price, image, and reason for the recommendation. Specifically, the content is dynamically updated and displayed using HTML and CSS with JavaScript.

[0587] Step 11:

[0588] The user selects from the suggested gifts and clicks on the purchase or reservation link. This redirects the user to an external purchase or reservation page, where the user can proceed with the purchase or reservation process. Specifically, clicking on the displayed link moves the browser to a new page.

[0589] This series of processes allows users to efficiently and easily select the most suitable gift and proceed with the procedure safely.

[0590] (Application example 1)

[0591] Next, a description will be given of Application Example 1. In the following description, the data processing device 12 will be referred to as a "server" and the smart glasses 214 will be referred to as a "terminal."

[0592] Previous gift selection systems only allowed users to enter information online, so they rarely supported in-store gift selection. Furthermore, their visual interfaces were limited, preventing users from receiving accurate, real-time recommendations for in-store product selection. Furthermore, they lacked a way to display detailed recommendations based on the user's specific requirements and budget.

[0593] The specific processing by the specific processing unit 290 of the data processing device 12 in the application example 1 is realized by the following means.

[0594] In this invention, the server includes a display device that receives information input by a user, a communication device that transmits the input information to a network device, a proposal generation device that allows an artificial intelligence engine of the network device to select appropriate goods or services based on the input information, and a display device that displays the proposed results to the user. This allows users to receive product proposals in real time using smart glasses and make appropriate selections even when selecting gifts in a physical store.

[0595] The "display device" is a device for visually displaying information input by the user and the results of suggestions from the server.

[0596] "Communication means" refers to a means for transmitting information input by a user to a network device.

[0597] A "network device" is a device that receives data sent from a user terminal and passes it on to an artificial intelligence engine.

[0598] An "artificial intelligence engine" is an engine that analyzes and selects appropriate goods and services based on information input by the user.

[0599] The "proposal generation means" is a means for using an artificial intelligence engine to select appropriate goods or services from the information input by the user and generate the selection results.

[0600] An "API for external services" is a program interface that allows a system to access data from other service providers and obtain the necessary information from them.

[0601] "Goods and Services" means any goods or services offered to Users.

[0602] The "reason for proposal" is information that explains why the proposed product or service meets the user's input conditions.

[0603] This invention is a system that uses smart glasses to allow users to receive appropriate product suggestions in real time when selecting a gift in a physical store. Specific methods for realizing this system are described below.

[0604] System configuration

[0605] The system mainly includes the following components:

[0606] 1. Display device means:

[0607] Devices that can display information visually, such as smart glasses.

[0608] 2. Means of communication:

[0609] A function for sending user-entered information to a network device.

[0610] 3. Network devices:

[0611] A device that receives data sent from the user terminal and passes it on to the artificial intelligence engine.

[0612] 4. Artificial Intelligence Engine:

[0613] An engine that selects products and services based on input information (e.g., TensorFlow, OpenAI GPT-3).

[0614] 5. Proposal generation means:

[0615] The API of the intermediary service is used to search for products, select appropriate candidates, and generate reasons for the proposal.

[0616] Program processing

[0617] The user wears the smart glasses and inputs the conditions of the gift (reason, budget, recipient's attributes, relationship) by voice input or touch operation. The smart glasses then transmit this information to the network device using a communication means.

[0618] The network device receives the user's input information and sends that data to an AI engine. The AI ​​engine analyzes the input information and calls the API of the intermediary service to search for appropriate products and services. For example, a search can be performed using conditions such as "women in their 40s" and "under 5,000 yen."

[0619] The products or services (e.g., organic cosmetics set) selected by the AI ​​engine are sent to the smart glasses via the network device along with appropriate reasons for the recommendation.

[0620] The smart glasses will display the received recommendations and the reasons for the recommendations to the user, who can then select from the displayed recommendations and proceed with the purchase or reservation process.

[0621] Specific examples

[0622] Example of a user wanting to send a birthday gift to a female friend in her 40s:

[0623] 1. The user enters "birthday," "under 5,000 yen," "female in her 40s," and "close friend," and sends the information through the smart glasses.

[0624] 2. The network device receives the user's input information and sends it to the artificial intelligence engine.

[0625] 3. The AI ​​engine searches for products using the intermediary service's API based on the input information and selects appropriate candidates (e.g., organic cosmetics sets).

[0626] 4. The smart glasses will display the selected products and the reasons for the recommendations to the user.

[0627] 5. The user selects from the suggested gifts and proceeds with the purchase.

[0628] Prompt Sentence Examples

[0629] A specific example of a prompt for a generative AI model is as follows:

[0630] Generate suggestions to help users choose a gift based on the following criteria:

[0631] Target: Women in their 40s

[0632] Budget: Under 5,000 yen

[0633] Relationship: Close friends

[0634] Product: Organic cosmetics set

[0635] Reason for proposal:

[0636] The system allows users to easily find and select suitable gifts in real time using smart glasses in physical stores.

[0637] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[0638] Step 1:

[0639] The user puts on the smart glasses and inputs the conditions of the gift by voice input or touch operation. The input information includes the reason for the gift (e.g., birthday), budget (e.g., 5,000 yen), attributes of the recipient (e.g., woman in her 40s), and relationship with the recipient (e.g., close friend). This information is displayed on the user interface using the smart glasses' display device.

[0640] Step 2:

[0641] The device uses a communication method to receive the information entered by the user, format it, and send it to the network device, which generates an API request containing the user ID, the input, and a timestamp, and sends it to the network device.

[0642] Step 3:

[0643] The network device receives user input and sends the data to the AI ​​engine, which analyzes the input for each user and sets parameters for recommending appropriate products and services based on each user's criteria.

[0644] Step 4:

[0645] The AI ​​engine analyzes data based on input information received from the network device. The analysis takes into account the other party's attributes, budget, reason, relationship, etc., and sets conditions to search for appropriate products and services. For example, conditions such as "women in their 40s" and "under 5,000 yen" are used.

[0646] Step 5:

[0647] The AI ​​engine uses the intermediary service's API to search for products and services that match the criteria. Appropriate product candidates (e.g., organic cosmetic sets) are extracted as search results. An AI model (e.g., OpenAI GPT-3) generates the reasons for the selection, and the proposal and its reasons are sent to the network device.

[0648] Step 6:

[0649] The network device formats the recommendation results and the reasons for the recommendation received from the AI ​​engine and sends them to the terminal. The transmitted content includes the product name, price, image, and reason for the recommendation.

[0650] Step 7:

[0651] The terminal displays the received recommendation result and the reason for recommendation on the display device of the smart glasses. The displayed content includes the product name, price, image, and the generated reason for recommendation.

[0652] Step 8:

[0653] The user reviews the suggestions displayed on the smart glasses and selects the products they are interested in. The selected products are then processed through the terminal via the corresponding purchase or reservation links.

[0654] Furthermore, an emotion engine that estimates the user's emotion may be further combined. That is, the identification processing unit 290 may estimate the user's emotion using the emotion identification model 59, and perform identification processing using the user's emotion.

[0655] This invention relates to a system that recognizes a user's emotions and makes suggestions based on that information, allowing the user to select the most suitable gift. The system includes a user interface, a sending unit, a suggestion generating unit, a display unit, and an emotion engine.

[0656] System Components

[0657] 1. User Interface Methods

[0658] Device:

[0659] A screen is provided where users can enter information such as the reason for the gift, budget, the recipient's attributes, and their relationship with the recipient.

[0660] It has the ability to collect emotional data using a camera and microphone to capture the user's facial expressions and voice.

[0661] 2. Transmission Method

[0662] Device:

[0663] It has the function of generating and sending API requests to send the information and emotion data entered by the user to the server.

[0664] 3. Emotion Engine

[0665] server:

[0666] The received emotional data is analyzed to determine the user's emotional state, which is classified into categories such as joy, sadness, surprise, anger, and anxiety.

[0667] 4. Proposal generation means

[0668] server:

[0669] Select appropriate products and services based on the user's input information and emotional state from the emotion engine.

[0670] Products and services are searched for using the API of the intermediary service, and selection criteria include prioritization based on emotional state.

[0671] 5. Display means

[0672] Device:

[0673] The proposal results and the reasons for the proposal sent from the server are displayed on the user interface.

[0674] Program processing

[0675] Receiving and sending information and emotional data

[0676] The user enters the reason for the gift (e.g., birthday), budget (e.g., 5,000 yen), the recipient's attributes (e.g., a woman in her 40s), and relationship to the recipient (e.g., close friend) through the settings screen of the messaging application. Facial expression and voice data are also collected through the camera and microphone. Then, the user clicks the "Generate Proposal" button.

[0677] The device formats the user's input and collected emotion data and sends an API request to the server, including the user ID, timestamp, input, and emotion data.

[0678] Suggestion generation and emotional state analysis

[0679] The server receives the HTTP request, extracts the user input information and emotion data from the request body, and stores the extracted information in a data structure within the server.

[0680] The emotion engine analyzes the extracted emotion data and determines the user's emotional state, for example categorizing the user's smiling face as "joy," a serious face as "concentration," or a sad face as "sadness."

[0681] The proposal generator selects products and services based on the user's input information and the emotional state from the emotion engine. It searches for products and services using the API of the intermediary service and adjusts the priority of the search results based on the emotional state.

[0682] For example, if a user is in a "joy" emotional state, entertainment-related products and items that enhance a celebratory mood will be prioritized.

[0683] If the emotional state is "sad," relaxation items to lift the mood or products intended to provide comfort will be selected.

[0684] For each selected gift, the AI ​​generates a reason for the suggestion, such as, "This organic cosmetics set is popular among women in their 40s and is affordable within their budget. It's a special gift that matches your emotional state."

[0685] The server formats the recommendation results and the reason for the recommendation received from the AI ​​concierge engine and generates a response to send to the user's device. The response includes the product name, price, image, reason for the recommendation, and a purchase link.

[0686] Viewing and selecting suggestions

[0687] The device analyzes the response received from the server and displays the suggestions in the user interface, including:

[0688] Product name (e.g. luxury chocolate gift set, organic cosmetics set)

[0689] price

[0690] image

[0691] Reason for recommendation ("This organic cosmetics set is popular among women in their 40s and is affordable within their budget. It's a special gift that matches your emotional state.")

[0692] The user selects from the suggested gifts and clicks on the purchase or reservation link, after which the purchase or reservation procedure is carried out.

[0693] Specific examples

[0694] For example, consider a user who wants to send a birthday gift to a female friend in her 40s and is in the happy emotional state:

[0695] 1. The user enters "birthday," "under 5,000 yen," "female in her 40s," and "close friends," and clicks "Generate Suggestions." The camera captures the user's smile.

[0696] 2. The device sends the user input data and emotion data to the server as an API request.

[0697] 3. The server receives the API request and passes the input information and emotion data to the AI ​​concierge engine.

[0698] 4. The emotion engine determines the user's emotional state as "joy."

[0699] 5. The proposal generation means searches preferentially for entertainment-related products that match "joy" and selects, for example, an "organic cosmetics set."

[0700] 6. The server sends the proposal result and the reason for the proposal to the terminal.

[0701] 7. The device displays the proposal and the reason for the proposal to the user.

[0702] 8. The user selects the proposed "organic cosmetics set" and proceeds with the purchase process.

[0703] In this way, a system can be realized that takes the user's emotions into consideration to make optimal gift suggestions and improve the user experience.

[0704] The processing flow will be explained below.

[0705] Step 1:

[0706] The user opens the settings screen of the messaging application and enters the reason for the gift (e.g., birthday), budget (e.g., 5,000 yen), the recipient's attributes (e.g., a woman in her 40s), and relationship to the recipient (e.g., close friend).Facial expression and voice data are also collected via the camera and microphone.

[0707] Step 2:

[0708] The device formats the information entered by the user and the collected emotional data into JSON format, which includes the user ID, timestamp, input content (reason for gifting, budget, recipient's attributes, relationship with recipient), and emotional data.

[0709] Step 3:

[0710] The device sends the formatted data to the server as an HTTP request using the secure HTTPS protocol.

[0711] Step 4:

[0712] The server receives the HTTP request, extracts the user input information and emotion data from the request body, and stores the extracted information in a data structure within the server.

[0713] Step 5:

[0714] The server passes the extracted emotion data to the emotion engine, which analyzes the data and determines the user's emotional state.

[0715] Step 6:

[0716] The emotion engine analyzes the user's facial expressions and voice data, classifying their emotional state into categories such as "happiness," "sadness," "surprise," "anger," and "anxiety," and then provides the classification results to the server's proposal generation means.

[0717] Step 7:

[0718] The server passes the emotional state data received from the emotion engine and user input information to the AI ​​concierge engine, which analyzes them and selects appropriate products and services based on the conditions.

[0719] Step 8:

[0720] The proposal generation means searches for products and services using the API of the intermediary service. For example, a search is performed using the conditions "women in their 40s," "birthday," and "under 5,000 yen."

[0721] Step 9:

[0722] A suggestion generator prioritizes search results according to the user's emotional state, for example, if the user is in a "joy" emotional state, entertainment-related products and products suitable for celebrations are prioritized.

[0723] Step 10:

[0724] The AI ​​concierge engine selects appropriate gift candidates from the search results. For example, it selects "organic cosmetics set" and suggests the following as the reason for the suggestion: "This organic cosmetics set is popular among women in their 40s and is affordable within your budget. It's a special gift that matches your emotional state."

[0725] Step 11:

[0726] The server formats the recommendation results and the reason for the recommendation received from the AI ​​concierge engine and generates a response to send to the user's device. The response includes the product name, price, image, reason for the recommendation, and a purchase link.

[0727] Step 12:

[0728] The terminal analyzes the response received from the server and displays the proposal results on the user interface.

[0729] Step 13:

[0730] The user selects an appropriate gift from the displayed suggestions, clicks the purchase link for the selected gift, and proceeds with the purchase procedure.

[0731] Step 14:

[0732] The terminal notifies the server of the user's selection and performs additional processing to complete the purchase process, which may include processing payment information and entering shipping information.

[0733] Through these steps, users can easily and efficiently choose the best gift that takes their emotions into consideration.

[0734] Example 2

[0735] Next, a description will be given of Example 2. In the following description, the data processing device 12 will be referred to as a "server" and the smart glasses 214 will be referred to as a "terminal."

[0736] Conventional gift suggestion systems only make suggestions based on information entered by the user, and do not take into account the user's emotions or mood, resulting in a poor user experience. Furthermore, if the suggested products or services are not appropriate for the user's current emotional state, user satisfaction may decrease. Furthermore, suggestions that do not take emotions into account may not adequately reflect the quality or suitability of the options, making it difficult to find the perfect gift.

[0737] The specific processing by the specific processing unit 290 of the data processing device 12 in the second embodiment is realized by the following means.

[0738] In this invention, the server includes a user interface means for the user to input information such as the reason for giving the gift, the budget, the recipient's attributes, and the relationship with the recipient, a transmission means for transmitting the input information and the user's facial expression and voice data to the server, an emotion engine for analyzing the emotion data received by the server and determining the user's emotional state, a proposal generation means for selecting appropriate products and services based on the user's input information and emotional state, and a display means for displaying the proposal results and the proposal reasons on the user interface. This makes it possible to suggest optimal gifts based on the user's emotional state, significantly improving the user experience.

[0739] "User interface means" refers to the screens and operating means through which the user inputs information and interacts with the system.

[0740] "Transmission means" refers to a function or device for transmitting information entered by the user and collected emotion data to the server.

[0741] An "emotion engine" is a function or program that analyzes emotional data received from a user and determines the user's emotional state.

[0742] The "proposal generation means" is a function or program that selects appropriate products and services based on the user's input information and the emotional state from the emotion engine.

[0743] "Display means" refers to a function or device for visually presenting the proposed results and the reasons for the proposal to the user.

[0744] "API" stands for Application Program Interface, and is a set of rules and methods for exchanging data between different software programs.

[0745] "Emotional data" is data collected from a user's facial expressions and voice, and is information used to analyze the user's emotional state.

[0746] The "reason for proposal" is information that explains to the user the criteria by which the proposed product or service was selected.

[0747] A "server" is a computer system that processes data received from a client and returns any necessary responses.

[0748] This invention relates to a system that recognizes a user's emotions and makes suggestions based on that information, allowing the user to select the most suitable gift. The system includes a user interface, a sending unit, a suggestion generating unit, a display unit, and an emotion engine.

[0749] System Components

[0750] 1. User Interface Methods

[0751] The device provides a screen where users can input information such as the reason for the gift, budget, the recipient's attributes, and their relationship with the recipient. It also has the ability to capture the user's facial expressions and voice using a camera and microphone to collect emotional data.

[0752] 2. Transmission Method

[0753] The device generates and sends an API request to the server to send the information entered by the user and the collected emotion data. This request includes the user ID, timestamp, input content, and emotion data.

[0754] 3. Emotion Engine

[0755] The server analyzes the received emotion data and determines the user's emotional state. Emotions are classified into categories such as happiness, sadness, surprise, anger, and anxiety. For example, if the user is smiling, it is considered "happiness," if they have a serious expression, it is considered "concentration," and if they have a sad expression, it is considered "sadness."

[0756] 4. Proposal generation means

[0757] The server selects appropriate products and services based on the user's input information and the emotional state from the emotion engine. It searches for products and services using the intermediary service's API and sets priorities based on the emotional state. For example, if the user is in a "joy" emotional state, entertainment-related products and items that enhance celebratory moods will be prioritized. If the user is in a "sad" emotional state, relaxation items to lighten the mood and products with a comforting message will be selected.

[0758] 5. Display means

[0759] The device displays the recommendation results and the reasons for the recommendation sent from the server on the user interface. The recommendation contents include the product name, price, image, reason for the recommendation, and a purchase link.

[0760] Specific examples

[0761] For example, consider a user who wants to send a birthday gift to a female friend in her 40s and is in the happy emotional state:

[0762] 1. The user enters "birthday," "under 5,000 yen," "female in her 40s," and "close friend," and clicks "Generate Suggestions." The camera captures the user's smile.

[0763] 2. The device sends the user input data and emotion data to the server as an API request.

[0764] 3. The server receives the API request and passes the input information and emotion data to the AI ​​concierge engine.

[0765] 4. The emotion engine determines the user's emotional state as "joy."

[0766] 5. The proposal generation means searches preferentially for entertainment-related products that match "joy" and selects, for example, an "organic cosmetics set."

[0767] 6. The server sends the proposal result and the reason for the proposal to the terminal.

[0768] 7. The device displays the suggestion and the reason for the suggestion to the user.

[0769] 8. The user selects the suggested "organic cosmetics set" and proceeds with the purchase process.

[0770] Example prompts to input to the generative AI model

[0771] "I want to send a birthday gift to a female friend in her 40s. The budget is within 5000 yen, and the user's emotional state is joy. I'm looking for suitable gift suggestions."

[0772] The flow of the identification process in the second embodiment will be described with reference to FIG.

[0773] Step 1:

[0774] The user enters information such as the reason for the gift, budget, the recipient's attributes, and the relationship with the recipient through the interface of the messaging application. Specifically, the user enters this information in text format into an input form displayed on the screen of a smartphone or PC. In addition, facial expression and voice data are collected using a camera and microphone. This data constitutes the user's input data and emotional data.

[0775] Input: Reason for gift, budget, recipient's attributes, relationship with recipient, facial expression data, voice data

[0776] Output: User input data, emotion data

[0777] Step 2:

[0778] The device generates an API request that includes the information entered by the user and the collected emotion data. Specifically, the device converts the entered text information and emotion data into JSON format data and prepares an HTTPS request to send it to the server. The request includes the user ID, timestamp, input content, and emotion data.

[0779] Input: User ID, timestamp, user input data, emotion data

[0780] Output: API request

[0781] Step 3:

[0782] The server analyzes the received API request. Specifically, the server extracts the user input information and emotion data from the request body and stores them in an internal data structure.

[0783] Input: API request

[0784] Output: Stored user input data and emotion data

[0785] Step 4:

[0786] The emotion engine analyzes the extracted emotion data and determines the user's emotional state. A generative AI model is used for the analysis. For example, if the user is smiling, it is classified as "joy," if they have a serious expression, it is classified as "concentration," and if they have a sad expression, it is classified as "sadness." This emotional state data is generated and stored in the server.

[0787] Input: Emotion data

[0788] Output: Emotional state data

[0789] Step 5:

[0790] The proposal generation means selects appropriate products and services based on the user's input data and emotional state data. Specifically, it searches for products and services using the API of the intermediary service and prioritizes the search results based on the user's emotional state. For example, if the user is in a "joy" emotional state, entertainment-related products are prioritized. It also generates proposal reasons and formats this data as a response.

[0791] Input: User input data, emotional state data

[0792] Output: Proposal result data, proposal reason

[0793] Step 6:

[0794] The server sends the generated proposal results and the proposal reasons to the terminal. Specifically, the server formats this data in JSON format and sends it to the terminal using the HTTPS protocol.

[0795] Input: Proposal result data, proposal reason

[0796] Output: Server response

[0797] Step 7:

[0798] The device analyzes the received response data and displays it on the user interface. Specifically, the device analyzes the JSON data and displays the product name, price, image, and reason for the suggestion on the screen. The user can confirm the suggested gift by viewing this information. For example, information such as a "luxury chocolate gift set" and an "organic cosmetics set" may be displayed on the smartphone screen.

[0799] Input: Server response

[0800] Output: The proposal displayed in the user interface

[0801] Step 8:

[0802] The user selects from the suggested gifts and clicks on the purchase or reservation link. They then follow the instructions to proceed with the purchase process. Specifically, the user taps the "Purchase" button, enters the necessary information in the purchase form, and completes the payment. During this process, the user views detailed information and links for the selected product and makes a final confirmation.

[0803] Input: Proposal content, purchase link

[0804] Output: Purchase completion data

[0805] (Application example 2)

[0806] Next, a description will be given of Application Example 2. In the following description, the data processing device 12 will be referred to as a "server" and the smart glasses 214 will be referred to as a "terminal."

[0807] On modern online shopping sites, users must compare and consider numerous product information to select the perfect gift, which takes time and effort. Furthermore, because the sites do not take into account the user's emotions, they often fail to provide suggestions that are appropriate for the user's mood or situation. This results in a poor user experience and makes it difficult to select the right gift.

[0808] The specific processing by the specific processing unit 290 of the data processing device 12 in the application example 2 is realized by the following means.

[0809] In this invention, the server includes a user interface means for receiving information and emotional data input by a user, a transmission means for transmitting the input information and emotional data to the server, a means for an emotion engine of the server to analyze the emotional data and determine the emotional state of the user, a proposal generation means for selecting appropriate products and services based on the determination result of the emotion engine and the input information, and a display means for displaying the proposal results and the reasons for the proposal to the user, thereby enabling optimal gift proposals that take the user's emotions into consideration.

[0810] The "user interface means" is a means for providing an interface function for a user to input input information and emotion data through a terminal and for receiving the input.

[0811] The "transmission means" has the function of formatting the information and emotion data input by the user into an appropriate format and transmitting them to the server.

[0812] An "emotion engine" is a software or hardware system that analyzes emotion data received at a server and identifies and determines the user's emotional state.

[0813] The "proposal generation means" has the function of selecting appropriate products and services and generating proposals for the user based on the input information and the emotional state determined by the emotion engine.

[0814] The "display means" provides an interface function for displaying the proposal results and the proposal reasons sent from the server on the user terminal.

[0815] This invention relates to a system for an online shopping site that recognizes a user's emotions and suggests the best gift for them. This system is implemented using a smartphone app or a head-mounted display (HMD).

[0816] 1. System Components

[0817] User Interface Means

[0818] The user interface means provides a user interface (UI) for the user to input information such as the reason for the gift, budget, the recipient's attributes, and the relationship with the recipient. Specifically, this includes smartphone applications and HMD applications. This interface has the function of collecting the user's facial expressions and voice using a camera and microphone and acquiring them as emotion data.

[0819] Transmission method

[0820] The transmission means is a means for transmitting the information entered by the user and the collected emotion data to the server. The smartphone app or HMD app formats this data as an API request and sends it to the server.

[0821] Emotion Engine

[0822] An emotion engine is a software or hardware system deployed on a server that analyzes received emotion data and determines the user's emotional state. The emotion engine uses a deep learning framework (e.g., TensorFlow, Keras) to analyze and classify emotion data.

[0823] Proposal generation means

[0824] The suggestion generator is responsible for selecting appropriate products and services based on the user's emotional state determined by the emotion engine and the user's input information. This is a backend service running on the server, and uses the API of the intermediary service (e.g., RESTful API) to search and select items from the product database. The reason for the suggestion is also generated and presented to the user.

[0825] Display means

[0826] The display means is a means for displaying the proposal results and the reasons for the proposal sent from the server on the user's device. The proposed product name, price, image, and reason for the proposal are displayed on the user interface of the smartphone app or HMD app.

[0827] 2. System Operation

[0828] The operation of this system will be explained below. Once the user inputs information and emotional data is collected, this data is sent to the server. The emotional engine analyzes the emotional data and determines the user's emotional state. Based on this result and the input information, the proposal generation means selects appropriate products and services and sends them from the server to the user's terminal along with the reason for the proposal. On the user's terminal, the proposal content is displayed on the user interface.

[0829] Examples:

[0830] For example, if a user inputs "birthday," "under 5,000 yen," "female in her 30s," and "colleague," and smiles, this information and emotional data are sent to the server, and the emotion engine determines that the emotion is "joy." Based on this information, the suggestion generation means selects entertainment-related products and items that will enhance the celebratory mood, such as a "luxury chocolate gift set."

[0831] Example prompt sentence:

[0832] An example of a prompt for generating suggestions is:

[0833] What is the best product to suggest when the user's emotion is "joy" for a "birthday," "under 5,000 yen," "female in her 30s," and "colleague"?

[0834] This system takes into account the user's emotions and makes it possible to suggest the most suitable gift.

[0835] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[0836] Step 1:

[0837] The user inputs information such as the reason for the gift, budget, the recipient's attributes, and relationship to the recipient into a smartphone app or HMD app. The app then uses a camera and microphone to collect the user's facial expressions and voice.

[0838] Input: Reason for gift, budget, recipient's attributes, relationship with recipient, facial expression data, voice data

[0839] Output: Input information and emotion data are stored in the device.

[0840] Step 2:

[0841] The device formats the information entered by the user and the collected emotion data, generates an API request containing them, and then sends the API request to the server.

[0842] Input: Input information, emotion data

[0843] Output: The API request is generated and sent to the server

[0844] Step 3:

[0845] The server analyzes the received API request and extracts the user input information and emotion data from the request body. The extracted information is stored in a data structure within the server.

[0846] Input: API request

[0847] Output: User input information and emotion data are stored in the server.

[0848] Step 4:

[0849] The server's emotion engine analyzes the extracted emotion data and determines the user's emotional state. Emotions are classified into categories such as joy, sadness, surprise, anger, and anxiety. This analysis is performed using deep learning frameworks (e.g., TensorFlow, Keras).

[0850] Input: Emotion data

[0851] Output: User's emotional state is classified

[0852] Step 5:

[0853] The server's proposal generation means selects appropriate products and services based on the user's input information and the judgment results of the emotion engine. It uses the intermediary service's API to search the product database and adjusts the priority based on the user's emotional state. It also generates proposal reasons.

[0854] Input: User input information, emotional state

[0855] Output: Proposed products and services and the reason for the proposal

[0856] Step 6:

[0857] The server then compiles the generated recommendation results and the reasons for the recommendation into response data, which it then transmits to the terminal. This response includes the product name, price, image, reason for the recommendation, and a purchase link.

[0858] Input: Proposed product, reason for proposal

[0859] Output: Response data is generated and sent to the device

[0860] Step 7:

[0861] The terminal analyzes the received response data and displays the proposed products on the user interface. The user can select from the proposed products and click on the link to purchase or reserve.

[0862] Input: Response data

[0863] Output: The proposal result and the proposal reason are displayed in the user interface.

[0864] The specific processing unit 290 transmits the result of the specific processing to the smart glasses 214. In the smart glasses 214, the control unit 46A causes the speaker 240 to output the result of the specific processing. The microphone 238 acquires audio indicating a user input regarding the result of the specific processing. The control unit 46A transmits audio data indicating the user input acquired by the microphone 238 to the data processing device 12. In the data processing device 12, the specific processing unit 290 acquires the audio data.

[0865] The data generation model 58 is a so-called generative AI (Artificial Intelligence). An example of the data generation model 58 is ChatGPT (Internet Search<URL: https: / / openai.com / blog / chatgpt> ), Gemini (Internet search <url: https: gemini.google.com ?hl="ja">) and other generation AIs. The data generation model 58 is obtained by performing deep learning on a neural network. A prompt including an instruction is input to the data generation model 58, and inference data such as voice data indicating voice, text data indicating text, and image data indicating an image is also input. The data generation model 58 performs inference on the input inference data in accordance with the instruction indicated by the prompt, and outputs the inference result in a data format such as voice data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization.

[0866] In the above embodiment, an example in which the specific processing is performed by the data processing device 12 has been given, but the technology of the present disclosure is not limited to this, and the specific processing may be performed by the smart glasses 214.

[0867] [Third embodiment]

[0868] FIG. 5 shows an example of the configuration of a data processing system 310 according to the third embodiment.

[0869] 5, the data processing system 310 includes the data processing device 12 and a headset type terminal 314. An example of the data processing device 12 is a server.

[0870] The data processing device 12 includes a computer 22, a database 24, and a communication I / F 26. The computer 22 is an example of a "computer" according to the technology of the present disclosure. The computer 22 includes a processor 28, a RAM 30, and a storage 32. The processor 28, the RAM 30, and the storage 32 are connected to a bus 34. The database 24 and the communication I / F 26 are also connected to the bus 34. The communication I / F 26 is connected to a network 54. Examples of the network 54 include a WAN (Wide Area Network) and / or a LAN (Local Area Network).

[0871] The headset type terminal 314 includes a computer 36, a microphone 238, a speaker 240, a camera 42, a communication I / F 44, and a display 343. The computer 36 includes a processor 46, a RAM 48, and a storage 50. The processor 46, the RAM 48, and the storage 50 are connected to a bus 52. The microphone 238, the speaker 240, the camera 42, and the display 343 are also connected to the bus 52.

[0872] The microphone 238 receives instructions and the like from the user 20 by receiving voice uttered by the user 20. The microphone 238 captures the voice uttered by the user 20, converts the captured voice into audio data, and outputs it to the processor 46. The speaker 240 outputs audio in accordance with instructions from the processor 46.

[0873] Camera 42 is a small digital camera equipped with an optical system including a lens, aperture, and shutter, and an imaging element such as a CMOS (Complementary Metal-Oxide-Semiconductor) image sensor or a CCD (Charge Coupled Device) image sensor, and captures images of the surroundings of user 20 (for example, an imaging range defined by an angle of view equivalent to the field of vision of a typical healthy person).

[0874] The communication I / F 44 is connected to a network 54. The communication I / Fs 44 and 26 are responsible for the exchange of various information between the processor 46 and the processor 28 via the network 54. The exchange of various information between the processor 46 and the processor 28 using the communication I / Fs 44 and 26 is carried out in a secure state.

[0875] Fig. 6 shows an example of the main functions of the data processing device 12 and the headset type terminal 314. As shown in Fig. 6, in the data processing device 12, a specific process is performed by the processor 28. A specific process program 56 is stored in the storage 32.

[0876] The specific processing program 56 is an example of a "program" according to the technology of the present disclosure. The processor 28 reads the specific processing program 56 from the storage 32 and executes the read specific processing program 56 on the RAM 30. The specific processing is realized by the processor 28 operating as a specific processing unit 290 in accordance with the specific processing program 56 executed on the RAM 30.

[0877] The storage 32 stores a data generation model 58 and an emotion identification model 59. The data generation model 58 and the emotion identification model 59 are used by the identification processing unit 290.

[0878] In the headset type terminal 314, a reception output process is performed by the processor 46. A reception output program 60 is stored in the storage 50. The processor 46 reads the reception output program 60 from the storage 50 and executes the read reception output program 60 on the RAM 48. The reception output process is realized by the processor 46 operating as the control unit 46A in accordance with the reception output program 60 executed on the RAM 48.

[0879] Next, a description will be given of the identification process performed by the identification processing unit 290 of the data processing device 12. In the following description, the data processing device 12 will be referred to as the "server" and the headset type terminal 314 will be referred to as the "terminal."

[0880] This invention is a system that uses a messaging application to suggest gifts, and AI suggests the most suitable gift based on information entered by the user, allowing the user to easily select a gift and give it to the recipient. The system mainly includes a user interface means, a sending means, a suggestion generation means, and a display means.

[0881] System Components

[0882] 1. User Interface Methods

[0883] Device:

[0884] A screen is provided where users can enter information such as the reason for the gift, budget, the recipient's attributes, and their relationship with the recipient.

[0885] 2. Transmission Method

[0886] Device:

[0887] It has the function of generating and sending API requests to send information entered by the user to the server.

[0888] 3. Proposal generation means

[0889] server:

[0890] Receives API requests and analyzes user input information using an AI engine.

[0891] Search and select appropriate products and services through the API of the intermediary service.

[0892] A reason for the selection is generated, and a response is generated to be sent to the user together with the proposal results.

[0893] 4. Display means

[0894] Device:

[0895] The proposal results and the reasons for the proposal sent from the server are displayed on the user interface.

[0896] Program processing

[0897] Receiving and sending input information

[0898] The user enters the reason for the gift (e.g., birthday), budget (e.g., 5,000 yen), the recipient's attributes (e.g., a woman in her 40s), and relationship to the recipient (e.g., close friend) through the settings screen of the messaging application. Then, the user clicks the "Generate Proposal" button.

[0899] The device formats the information entered by the user and sends it to the server as an API request, which includes the user ID, the input, and a timestamp.

[0900] Proposal generation and selection reasons

[0901] The server receives the API request, analyzes the input information, and passes it to the AI ​​concierge engine, which sets conditions based on the user's input information and searches for products and services using the API of the intermediary service.

[0902] For example, a search can be performed using conditions such as "women in their 40s," "birthday," and "under 5,000 yen."

[0903] From the search results, AI will select appropriate gift options (e.g., "luxury chocolate gift set" or "organic cosmetics set").

[0904] For each selected gift, the AI ​​generates a reason for the recommendation, such as, "This organic cosmetics set is popular among women in their 40s and is affordable within their budget."

[0905] The server formats the recommendation results and reasons for the recommendation from the AI ​​concierge engine and generates a response to send to the user's device.

[0906] Viewing and selecting suggestions

[0907] The device analyzes the response received from the server and displays suggestions to the user, including:

[0908] Product name (e.g. luxury chocolate gift set, organic cosmetics set)

[0909] price

[0910] image

[0911] Reason for recommendation ("This organic cosmetics set is popular among women in their 40s and is affordable within their budget.")

[0912] The user selects from the suggested gifts and clicks on the purchase or reservation link, after which the purchase or reservation procedure is carried out.

[0913] Specific examples

[0914] Example of a user wanting to send a birthday gift to a female friend in her 40s:

[0915] 1. The user enters "birthday," "under 5,000 yen," "female in her 40s," and "close friend," and clicks "Generate suggestions."

[0916] 2. The device sends the user input data to the server as an API request.

[0917] 3. The server receives the API request and passes the input information to the AI ​​concierge engine.

[0918] 4. The AI ​​concierge engine uses the criteria of "women in their 40s" and "under 5,000 yen" to search for products from the intermediary service's API and select items such as "organic cosmetics sets."

[0919] 5. The server sends the proposal result and the reason for the proposal to the terminal.

[0920] 6. The device displays the proposal and the reason for the proposal to the user.

[0921] 7. The user selects the "organic cosmetics set" and proceeds with the purchase.

[0922] In this way, the system helps users easily find and give the right gift without having to worry about choosing one.

[0923] The processing flow will be explained below.

[0924] Step 1:

[0925] The user opens the settings screen of the messaging application, enters the reason for the gift (e.g., birthday), budget (e.g., 5,000 yen), the recipient's attributes (e.g., female in her 40s), and relationship to the recipient (e.g., close friend), and then clicks the "Generate Proposal" button.

[0926] Step 2:

[0927] The device formats the information entered by the user into JSON format, which includes the user ID, timestamp, and input details (reason for gifting, budget, recipient's attributes, and relationship to recipient).

[0928] Step 3:

[0929] The device sends the formatted data to the server as an HTTP request using the secure HTTPS protocol.

[0930] Step 4:

[0931] The server receives the HTTP request, extracts the user-supplied information from the request body, and stores it in an internal data structure.

[0932] Step 5:

[0933] The server passes the extracted user input information to the AI ​​concierge engine, which involves formatting the input information into a form that the AI ​​engine can understand.

[0934] Step 6:

[0935] The AI ​​concierge engine analyzes the information entered by the user and selects appropriate products and services based on the conditions, which includes searching for products and services using the API of the intermediary service.

[0936] Step 7:

[0937] An AI concierge engine selects suitable gift ideas from search results based on criteria such as product popularity, reviews, price, and applicability.

[0938] Step 8:

[0939] The AI ​​concierge engine generates a reason for the selected gift, such as, "This organic cosmetics set is popular among women in their 40s and is affordable within their budget."

[0940] Step 9:

[0941] The server formats the recommendation results and the reason for the recommendation received from the AI ​​concierge engine and generates a response to send to the user's device. The response includes the product name, price, image, reason for the recommendation, and a purchase link.

[0942] Step 10:

[0943] The terminal analyzes the response received from the server and displays the proposal results on the user interface.

[0944] Step 11:

[0945] The user selects an appropriate gift from the displayed suggestions, clicks the purchase link for the selected gift, and proceeds with the purchase procedure.

[0946] Step 12:

[0947] The terminal notifies the server of the user's selection and performs additional processing to complete the purchase process, which may include processing payment information and entering shipping information.

[0948] By following these steps, users can easily and efficiently choose the perfect gift and send it to the recipient.

[0949] Example 1

[0950] Next, a description will be given of Example 1. In the following description, the data processing device 12 will be referred to as a "server" and the headset type terminal 314 will be referred to as a "terminal."

[0951] When users select a gift, it is difficult to easily suggest the most suitable product or service based on appropriate information. In particular, there is a growing need for users to efficiently receive appropriate suggestions without spending time selecting a gift. Conventional systems have issues with insufficient analysis of user-entered information and generation of appropriate suggestions, and furthermore, they have difficulty guiding users to specific purchasing procedures based on the suggestions.

[0952] The specific processing by the specific processing unit 290 of the data processing device 12 in the first embodiment is realized by the following means.

[0953] In this invention, the server includes an information analysis means for analyzing user-entered information and generating prompt sentences using a generative AI model, a proposal generation means for searching for appropriate products and services using the intermediary service's API and selecting the most suitable candidates, and a display means for formatting and displaying the proposal results and the reasons for the proposal to the user. This makes it possible to efficiently suggest the most suitable gift based on the information entered by the user. Furthermore, by automatically generating the reasons for the proposal and providing a purchase link, the user can easily select the appropriate gift and proceed with the purchase process.

[0954] "User" refers to a person who uses the system to enter information to select and purchase gifts.

[0955] "Data input means" refers to an interface that allows the user to input information such as the reason for the gift, budget, the recipient's attributes, and the relationship with the recipient.

[0956] "Communication Means" refers to the technical means used to format and transmit information entered by a User to a Server.

[0957] "Information analysis means" refers to the technical means for analyzing input information sent by a user on the server and generating an appropriate prompt sentence.

[0958] A "generative AI model" refers to an artificial intelligence model that generates appropriate prompts and suggestions based on input information.

[0959] "Proposal generation means" refers to a technical means for searching for products and services using the API of an intermediary service based on prompt sentences generated by a generative AI model, and selecting the most suitable candidates.

[0960] "API for Intermediate Services" refers to an application program interface for providing product or service information using third-party services.

[0961] "Display means" refers to the technical means for displaying the proposal results and the reasons for the proposal on the user interface.

[0962] "Reasons for Proposal" refers to text that explains why the proposed product or service meets the user's criteria.

[0963] "User interface" refers to the screen and input devices that allow a user to interact with a system.

[0964] "Purchase Link" means a hyperlink that leads to the purchase process for the proposed goods or services.

[0965] "JSON format" is a lightweight data format used for data exchange, and refers to a text format based on JavaScript object notation.

[0966] This invention relates to a system that uses a messaging application to assist users in selecting a gift. This system provides a mechanism for users to easily select and give a gift by having AI suggest the most suitable gift based on information input by the user. The system mainly includes a user interface means, a communication means, an information analysis means, a suggestion generation means, and a display means.

[0967] User Interface Means

[0968] The device provides a screen where the user can enter information such as the reason for the gift, budget, the recipient's attributes, and their relationship to the recipient. For example, this role could be played by a smartphone application or a web application. The user enters the required information using text boxes and drop-down menus.

[0969] communication means

[0970] The device formats the information provided by the user and sends it to the server as an API request. Specifically, the communication protocol is HTTP POST request, and the data sent is formatted in JSON. The request includes the user ID, input content, and a timestamp.

[0971] Information analysis means

[0972] The server analyzes the API request received from the device and uses appropriate data analysis techniques to create a prompt sentence to pass the user's input information to a generative AI model, which can use natural language processing (NLP) techniques, for example.

[0973] Proposal generation means

[0974] The server uses the API of the intermediary service to search for appropriate products and services based on the prompt text created using the generative AI model. This can involve using external APIs such as Amazon's Product Advertising API or Rakuten's API. The server selects the best gift candidates from the search results and generates reasons for recommending them. Specifically, it creates reasons such as, "This organic cosmetics set is popular among women in their 40s and is affordable and within their budget."

[0975] Display means

[0976] The device analyzes the response sent from the server and displays the recommendations to the user. The displayed content includes the product name, price, image, and reason for the recommendation, allowing the user to make an appropriate selection. In addition, a link to purchase or reserve is displayed, allowing the user to easily proceed with the purchase or reservation process.

[0977] Specific examples

[0978] For example, if a user wants to choose a birthday gift for a female friend in her 40s, the following scenario could occur:

[0979] 1. The user enters "birthday," "under 5,000 yen," "female in her 40s," and "close friend," and clicks "Generate suggestions."

[0980] 2. The device sends the user input data to the server as an API request.

[0981] 3. The server receives the API request and passes the input information to the AI ​​concierge engine for analysis.

[0982] 4. The server uses the conditions "women in their 40s" and "under 5,000 yen" to search for products from the intermediary service's API and selects products such as "organic cosmetics sets."

[0983] 5. The server generates the reason for the recommendation, creating content such as, "This organic cosmetics set is popular among women in their 40s and is affordable within their budget."

[0984] 6. The device will display the offer and the reason for the offer to the user, and also provide a link to purchase.

[0985] Prompt Sentence Examples

[0986] "I'm sending a birthday present to a female friend in her 40s. Can you recommend a gift that costs under 5,000 yen?"

[0987] This system frees users from the tedious process of selecting a gift, allowing them to easily find and give the right gift.

[0988] The flow of the identification process in the first embodiment will be described with reference to FIG.

[0989] Step 1:

[0990] The user enters the reason for the gift (e.g., birthday), budget (e.g., 5,000 yen), recipient's attributes (e.g., woman in her 40s), and relationship to the recipient (e.g., close friend) on the settings screen of the messaging application. After entering the information, the user clicks the "Generate Proposal" button. The input data includes the reason for the gift, budget, recipient's attributes, and relationship. Specifically, the user enters / selects information using text boxes and drop-down menus.

[0991] Step 2:

[0992] The device collects the information entered by the user and formats it appropriately. The formatted information is prepared as JSON-formatted data. The input data includes the user ID, input content (reason for gift, budget, recipient's attributes, relationship), and timestamp. Specifically, a script such as JavaScript takes the user's input and converts it into a JSON object.

[0993] Step 3:

[0994] The terminal sends formatted JSON data to the server as an API request. The communication protocol used is an HTTP POST request. The input data is formatted JSON data, which is sent to the server and a response is waited for. Specifically, the API request is sent using XMLHttpRequest or Fetch API.

[0995] Step 4:

[0996] The server analyzes the API request received from the device. It checks the integrity of the received input data and authenticates it. The analyzed data includes the user ID, reason for gifting, budget, recipient's attributes, relationship, and timestamp. Specifically, it uses a server-side framework (e.g., Node.js or Django) to check the integrity of the data and parse it.

[0997] Step 5:

[0998] The server generates prompts to be passed to the generative AI model based on the received data. Data analysis includes natural language processing (NLP). To generate prompts, conditions must be set based on the input data (reason for gift-giving, budget, recipient attributes, relationship). Specifically, a script written in Python generates prompts based on the received data.

[0999] Step 6:

[1000] The server passes the generated prompt text to the AI ​​concierge engine and sets the search conditions. The API of the intermediary service is used to search for products and services. The prompt text (e.g., "Woman in her 40s," "Birthday," "Under 5,000 yen") is used as input data for the search. Specifically, the server calls external APIs such as the Amazon Product Advertising API and Rakuten API to perform a product search.

[1001] Step 7:

[1002] The server selects the best gift candidate from the search results and generates the reason for the selection. It generates the selected gift candidate (e.g., "organic cosmetics set") and the reason for the selection (e.g., "This organic cosmetics set is popular among women in their 40s and is affordable within their budget.") Specifically, it uses the text data generated by the AI ​​model to format the reason for the selection.

[1003] Step 8:

[1004] The server formats the recommendation results and the reason for the recommendation, generates a response, and sends it to the terminal. The response data includes the product name, price, image URL, and reason for the recommendation. Specifically, the server-side program creates an HTTP response and sends it to the terminal's endpoint.

[1005] Step 9:

[1006] The device analyzes the response received from the server, parses the received JSON data, and extracts the response data (product name, price, image, reason for recommendation). Specifically, the JavaScript code retrieves the HTTP response, parses the JSON data, and prepares it for display in the user interface.

[1007] Step 10:

[1008] The device then displays the received recommendations on a user interface. The displayed content includes the product name, price, image, and reason for the recommendation. Specifically, the content is dynamically updated and displayed using HTML and CSS with JavaScript.

[1009] Step 11:

[1010] The user selects from the suggested gifts and clicks on the purchase or reservation link. This redirects the user to an external purchase or reservation page, where the user can proceed with the purchase or reservation process. Specifically, clicking on the displayed link moves the browser to a new page.

[1011] This series of processes allows users to efficiently and easily select the most suitable gift and proceed with the procedure safely.

[1012] (Application example 1)

[1013] Next, a description will be given of Application Example 1. In the following description, the data processing device 12 will be referred to as a "server" and the headset type terminal 314 will be referred to as a "terminal."

[1014] Previous gift selection systems only allowed users to enter information online, so they rarely supported in-store gift selection. Furthermore, their visual interfaces were limited, preventing users from receiving accurate, real-time recommendations for in-store product selection. Furthermore, they lacked a way to display detailed recommendations based on the user's specific requirements and budget.

[1015] The specific processing by the specific processing unit 290 of the data processing device 12 in the application example 1 is realized by the following means.

[1016] In this invention, the server includes a display device that receives information input by a user, a communication device that transmits the input information to a network device, a proposal generation device that allows an artificial intelligence engine of the network device to select appropriate goods or services based on the input information, and a display device that displays the proposed results to the user. This allows users to receive product proposals in real time using smart glasses and make appropriate selections even when selecting gifts in a physical store.

[1017] The "display device" is a device for visually displaying information input by the user and the results of suggestions from the server.

[1018] "Communication means" refers to a means for transmitting information input by a user to a network device.

[1019] A "network device" is a device that receives data sent from a user terminal and passes it on to an artificial intelligence engine.

[1020] An "artificial intelligence engine" is an engine that analyzes and selects appropriate goods and services based on information input by the user.

[1021] The "proposal generation means" is a means for using an artificial intelligence engine to select appropriate goods or services from the information input by the user and generate the selection results.

[1022] An "API for external services" is a program interface that allows a system to access data from other service providers and obtain the necessary information from them.

[1023] "Goods and Services" means any goods or services offered to Users.

[1024] The "reason for proposal" is information that explains why the proposed product or service meets the user's input conditions.

[1025] This invention is a system that uses smart glasses to allow users to receive appropriate product suggestions in real time when selecting a gift in a physical store. Specific methods for realizing this system are described below.

[1026] System configuration

[1027] The system mainly includes the following components:

[1028] 1. Display device means:

[1029] Devices that can display information visually, such as smart glasses.

[1030] 2. Means of communication:

[1031] A function for sending user-entered information to a network device.

[1032] 3. Network devices:

[1033] A device that receives data sent from the user terminal and passes it on to the artificial intelligence engine.

[1034] 4. Artificial Intelligence Engine:

[1035] An engine that selects products and services based on input information (e.g., TensorFlow, OpenAI GPT-3).

[1036] 5. Proposal generation means:

[1037] The API of the intermediary service is used to search for products, select appropriate candidates, and generate reasons for the proposal.

[1038] Program processing

[1039] The user wears the smart glasses and inputs the conditions of the gift (reason, budget, recipient's attributes, relationship) by voice input or touch operation. The smart glasses then transmit this information to the network device using a communication means.

[1040] The network device receives the user's input information and sends that data to an AI engine. The AI ​​engine analyzes the input information and calls the API of the intermediary service to search for appropriate products and services. For example, a search can be performed using conditions such as "women in their 40s" and "under 5,000 yen."

[1041] The products or services (e.g., organic cosmetics set) selected by the AI ​​engine are sent to the smart glasses via the network device along with appropriate reasons for the recommendation.

[1042] The smart glasses will display the received recommendations and the reasons for the recommendations to the user, who can then select from the displayed recommendations and proceed with the purchase or reservation process.

[1043] Specific examples

[1044] Example of a user wanting to send a birthday gift to a female friend in her 40s:

[1045] 1. The user enters "birthday," "under 5,000 yen," "female in her 40s," and "close friend," and sends the information through the smart glasses.

[1046] 2. The network device receives the user's input information and sends it to the artificial intelligence engine.

[1047] 3. The AI ​​engine searches for products using the intermediary service's API based on the input information and selects appropriate candidates (e.g., organic cosmetics sets).

[1048] 4. The smart glasses will display the selected products and the reasons for the recommendations to the user.

[1049] 5. The user selects from the suggested gifts and proceeds with the purchase.

[1050] Prompt Sentence Examples

[1051] A specific example of a prompt for a generative AI model is as follows:

[1052] Generate suggestions to help users choose a gift based on the following criteria:

[1053] Target: Women in their 40s

[1054] Budget: Under 5,000 yen

[1055] Relationship: Close friends

[1056] Product: Organic cosmetics set

[1057] Reason for proposal:

[1058] The system allows users to easily find and select suitable gifts in real time using smart glasses in physical stores.

[1059] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[1060] Step 1:

[1061] The user puts on the smart glasses and inputs the conditions of the gift by voice input or touch operation. The input information includes the reason for the gift (e.g., birthday), budget (e.g., 5,000 yen), attributes of the recipient (e.g., woman in her 40s), and relationship with the recipient (e.g., close friend). This information is displayed on the user interface using the smart glasses' display device.

[1062] Step 2:

[1063] The device uses a communication method to receive the information entered by the user, format it, and send it to the network device, which generates an API request containing the user ID, the input, and a timestamp, and sends it to the network device.

[1064] Step 3:

[1065] The network device receives user input and sends the data to the AI ​​engine, which analyzes the input for each user and sets parameters for recommending appropriate products and services based on each user's criteria.

[1066] Step 4:

[1067] The AI ​​engine analyzes data based on input information received from the network device. The analysis takes into account the other party's attributes, budget, reason, relationship, etc., and sets conditions to search for appropriate products and services. For example, conditions such as "women in their 40s" and "under 5,000 yen" are used.

[1068] Step 5:

[1069] The AI ​​engine uses the intermediary service's API to search for products and services that match the criteria. Appropriate product candidates (e.g., organic cosmetic sets) are extracted as search results. An AI model (e.g., OpenAI GPT-3) generates the reasons for the selection, and the proposal and its reasons are sent to the network device.

[1070] Step 6:

[1071] The network device formats the recommendation results and the reasons for the recommendation received from the AI ​​engine and sends them to the terminal. The transmitted content includes the product name, price, image, and reason for the recommendation.

[1072] Step 7:

[1073] The terminal displays the received recommendation result and the reason for recommendation on the display device of the smart glasses. The displayed content includes the product name, price, image, and the generated reason for recommendation.

[1074] Step 8:

[1075] The user reviews the suggestions displayed on the smart glasses and selects the products they are interested in. The selected products are then processed through the terminal via the corresponding purchase or reservation links.

[1076] Furthermore, an emotion engine that estimates the user's emotion may be further combined. That is, the identification processing unit 290 may estimate the user's emotion using the emotion identification model 59, and perform identification processing using the user's emotion.

[1077] This invention relates to a system that recognizes a user's emotions and makes suggestions based on that information, allowing the user to select the most suitable gift. The system includes a user interface, a sending unit, a suggestion generating unit, a display unit, and an emotion engine.

[1078] System Components

[1079] 1. User Interface Methods

[1080] Device:

[1081] A screen is provided where users can enter information such as the reason for the gift, budget, the recipient's attributes, and their relationship with the recipient.

[1082] It has the ability to collect emotional data using a camera and microphone to capture the user's facial expressions and voice.

[1083] 2. Transmission Method

[1084] Device:

[1085] It has the function of generating and sending API requests to send the information and emotion data entered by the user to the server.

[1086] 3. Emotion Engine

[1087] server:

[1088] The received emotional data is analyzed to determine the user's emotional state, which is classified into categories such as joy, sadness, surprise, anger, and anxiety.

[1089] 4. Proposal generation means

[1090] server:

[1091] Select appropriate products and services based on the user's input information and emotional state from the emotion engine.

[1092] Products and services are searched for using the API of the intermediary service, and selection criteria include prioritization based on emotional state.

[1093] 5. Display means

[1094] Device:

[1095] The proposal results and the reasons for the proposal sent from the server are displayed on the user interface.

[1096] Program processing

[1097] Receiving and sending information and emotional data

[1098] The user enters the reason for the gift (e.g., birthday), budget (e.g., 5,000 yen), the recipient's attributes (e.g., a woman in her 40s), and relationship to the recipient (e.g., close friend) through the settings screen of the messaging application. Facial expression and voice data are also collected through the camera and microphone. Then, the user clicks the "Generate Proposal" button.

[1099] The device formats the user's input and collected emotion data and sends an API request to the server, including the user ID, timestamp, input, and emotion data.

[1100] Suggestion generation and emotional state analysis

[1101] The server receives the HTTP request, extracts the user input information and emotion data from the request body, and stores the extracted information in a data structure within the server.

[1102] The emotion engine analyzes the extracted emotion data and determines the user's emotional state, for example categorizing the user's smiling face as "joy," a serious face as "concentration," or a sad face as "sadness."

[1103] The proposal generator selects products and services based on the user's input information and the emotional state from the emotion engine. It searches for products and services using the API of the intermediary service and adjusts the priority of the search results based on the emotional state.

[1104] For example, if a user is in a "joy" emotional state, entertainment-related products and items that enhance a celebratory mood will be prioritized.

[1105] If the emotional state is "sad," relaxation items to lift the mood or products intended to provide comfort will be selected.

[1106] For each selected gift, the AI ​​generates a reason for the suggestion, such as, "This organic cosmetics set is popular among women in their 40s and is affordable within their budget. It's a special gift that matches your emotional state."

[1107] The server formats the recommendation results and the reason for the recommendation received from the AI ​​concierge engine and generates a response to send to the user's device. The response includes the product name, price, image, reason for the recommendation, and a purchase link.

[1108] Viewing and selecting suggestions

[1109] The device analyzes the response received from the server and displays the suggestions in the user interface, including:

[1110] Product name (e.g. luxury chocolate gift set, organic cosmetics set)

[1111] price

[1112] image

[1113] Reason for recommendation ("This organic cosmetics set is popular among women in their 40s and is affordable within their budget. It's a special gift that matches your emotional state.")

[1114] The user selects from the suggested gifts and clicks on the purchase or reservation link, after which the purchase or reservation procedure is carried out.

[1115] Specific examples

[1116] For example, consider a user who wants to send a birthday gift to a female friend in her 40s and is in the happy emotional state:

[1117] 1. The user enters "birthday," "under 5,000 yen," "female in her 40s," and "close friends," and clicks "Generate Suggestions." The camera captures the user's smile.

[1118] 2. The device sends the user input data and emotion data to the server as an API request.

[1119] 3. The server receives the API request and passes the input information and emotion data to the AI ​​concierge engine.

[1120] 4. The emotion engine determines the user's emotional state as "joy."

[1121] 5. The proposal generation means searches preferentially for entertainment-related products that match "joy" and selects, for example, an "organic cosmetics set."

[1122] 6. The server sends the proposal result and the reason for the proposal to the terminal.

[1123] 7. The device displays the proposal and the reason for the proposal to the user.

[1124] 8. The user selects the proposed "organic cosmetics set" and proceeds with the purchase process.

[1125] In this way, a system can be realized that takes the user's emotions into consideration to make optimal gift suggestions and improve the user experience.

[1126] The processing flow will be explained below.

[1127] Step 1:

[1128] The user opens the settings screen of the messaging application and enters the reason for the gift (e.g., birthday), budget (e.g., 5,000 yen), the recipient's attributes (e.g., a woman in her 40s), and relationship to the recipient (e.g., close friend).Facial expression and voice data are also collected via the camera and microphone.

[1129] Step 2:

[1130] The device formats the information entered by the user and the collected emotional data into JSON format, which includes the user ID, timestamp, input content (reason for gifting, budget, recipient's attributes, relationship with recipient), and emotional data.

[1131] Step 3:

[1132] The device sends the formatted data to the server as an HTTP request using the secure HTTPS protocol.

[1133] Step 4:

[1134] The server receives the HTTP request, extracts the user input information and emotion data from the request body, and stores the extracted information in a data structure within the server.

[1135] Step 5:

[1136] The server passes the extracted emotion data to the emotion engine, which analyzes the data and determines the user's emotional state.

[1137] Step 6:

[1138] The emotion engine analyzes the user's facial expressions and voice data, classifying their emotional state into categories such as "happiness," "sadness," "surprise," "anger," and "anxiety," and then provides the classification results to the server's proposal generation means.

[1139] Step 7:

[1140] The server passes the emotional state data received from the emotion engine and user input information to the AI ​​concierge engine, which analyzes them and selects appropriate products and services based on the conditions.

[1141] Step 8:

[1142] The proposal generation means searches for products and services using the API of the intermediary service. For example, a search is performed using the conditions "women in their 40s," "birthday," and "under 5,000 yen."

[1143] Step 9:

[1144] A suggestion generator prioritizes search results according to the user's emotional state, for example, if the user is in a "joy" emotional state, entertainment-related products and products suitable for celebrations are prioritized.

[1145] Step 10:

[1146] The AI ​​concierge engine selects appropriate gift candidates from the search results. For example, it selects "organic cosmetics set" and suggests the following as the reason for the suggestion: "This organic cosmetics set is popular among women in their 40s and is affordable within your budget. It's a special gift that matches your emotional state."

[1147] Step 11:

[1148] The server formats the recommendation results and the reason for the recommendation received from the AI ​​concierge engine and generates a response to send to the user's device. The response includes the product name, price, image, reason for the recommendation, and a purchase link.

[1149] Step 12:

[1150] The terminal analyzes the response received from the server and displays the proposal results on the user interface.

[1151] Step 13:

[1152] The user selects an appropriate gift from the displayed suggestions, clicks the purchase link for the selected gift, and proceeds with the purchase procedure.

[1153] Step 14:

[1154] The terminal notifies the server of the user's selection and performs additional processing to complete the purchase process, which may include processing payment information and entering shipping information.

[1155] Through these steps, users can easily and efficiently choose the best gift that takes their emotions into consideration.

[1156] Example 2

[1157] Next, a description will be given of Example 2. In the following description, the data processing device 12 will be referred to as a "server" and the headset type terminal 314 will be referred to as a "terminal."

[1158] Conventional gift suggestion systems only make suggestions based on information entered by the user, and do not take into account the user's emotions or mood, resulting in a poor user experience. Furthermore, if the suggested products or services are not appropriate for the user's current emotional state, user satisfaction may decrease. Furthermore, suggestions that do not take emotions into account may not adequately reflect the quality or suitability of the options, making it difficult to find the perfect gift.

[1159] The specific processing by the specific processing unit 290 of the data processing device 12 in the second embodiment is realized by the following means.

[1160] In this invention, the server includes a user interface means for the user to input information such as the reason for giving the gift, the budget, the recipient's attributes, and the relationship with the recipient, a transmission means for transmitting the input information and the user's facial expression and voice data to the server, an emotion engine for analyzing the emotion data received by the server and determining the user's emotional state, a proposal generation means for selecting appropriate products and services based on the user's input information and emotional state, and a display means for displaying the proposal results and the proposal reasons on the user interface. This makes it possible to suggest optimal gifts based on the user's emotional state, significantly improving the user experience.

[1161] "User interface means" refers to the screens and operating means through which the user inputs information and interacts with the system.

[1162] "Transmission means" refers to a function or device for transmitting information entered by the user and collected emotion data to the server.

[1163] An "emotion engine" is a function or program that analyzes emotional data received from a user and determines the user's emotional state.

[1164] The "proposal generation means" is a function or program that selects appropriate products and services based on the user's input information and the emotional state from the emotion engine.

[1165] "Display means" refers to a function or device for visually presenting the proposed results and the reasons for the proposal to the user.

[1166] "API" stands for Application Program Interface, and is a set of rules and methods for exchanging data between different software programs.

[1167] "Emotional data" is data collected from a user's facial expressions and voice, and is information used to analyze the user's emotional state.

[1168] The "reason for proposal" is information that explains to the user the criteria by which the proposed product or service was selected.

[1169] A "server" is a computer system that processes data received from a client and returns any necessary responses.

[1170] This invention relates to a system that recognizes a user's emotions and makes suggestions based on that information, allowing the user to select the most suitable gift. The system includes a user interface, a sending unit, a suggestion generating unit, a display unit, and an emotion engine.

[1171] System Components

[1172] 1. User Interface Methods

[1173] The device provides a screen where users can input information such as the reason for the gift, budget, the recipient's attributes, and their relationship with the recipient. It also has the ability to capture the user's facial expressions and voice using a camera and microphone to collect emotional data.

[1174] 2. Transmission Method

[1175] The device generates and sends an API request to the server to send the information entered by the user and the collected emotion data. This request includes the user ID, timestamp, input content, and emotion data.

[1176] 3. Emotion Engine

[1177] The server analyzes the received emotion data and determines the user's emotional state. Emotions are classified into categories such as happiness, sadness, surprise, anger, and anxiety. For example, if the user is smiling, it is considered "happiness," if they have a serious expression, it is considered "concentration," and if they have a sad expression, it is considered "sadness."

[1178] 4. Proposal generation means

[1179] The server selects appropriate products and services based on the user's input information and the emotional state from the emotion engine. It searches for products and services using the intermediary service's API and sets priorities based on the emotional state. For example, if the user is in a "joy" emotional state, entertainment-related products and items that enhance celebratory moods will be prioritized. If the user is in a "sad" emotional state, relaxation items to lighten the mood and products with a comforting message will be selected.

[1180] 5. Display means

[1181] The device displays the recommendation results and the reasons for the recommendation sent from the server on the user interface. The recommendation contents include the product name, price, image, reason for the recommendation, and a purchase link.

[1182] Specific examples

[1183] For example, consider a user who wants to send a birthday gift to a female friend in her 40s and is in the happy emotional state:

[1184] 1. The user enters "birthday," "under 5,000 yen," "female in her 40s," and "close friend," and clicks "Generate Suggestions." The camera captures the user's smile.

[1185] 2. The device sends the user input data and emotion data to the server as an API request.

[1186] 3. The server receives the API request and passes the input information and emotion data to the AI ​​concierge engine.

[1187] 4. The emotion engine determines the user's emotional state as "joy."

[1188] 5. The proposal generation means searches preferentially for entertainment-related products that match "joy" and selects, for example, an "organic cosmetics set."

[1189] 6. The server sends the proposal result and the reason for the proposal to the terminal.

[1190] 7. The device displays the suggestion and the reason for the suggestion to the user.

[1191] 8. The user selects the suggested "organic cosmetics set" and proceeds with the purchase process.

[1192] Example prompts to input to the generative AI model

[1193] "I want to send a birthday gift to a female friend in her 40s. The budget is within 5000 yen, and the user's emotional state is joy. I'm looking for suitable gift suggestions."

[1194] The flow of the identification process in the second embodiment will be described with reference to FIG.

[1195] Step 1:

[1196] The user enters information such as the reason for the gift, budget, the recipient's attributes, and the relationship with the recipient through the interface of the messaging application. Specifically, the user enters this information in text format into an input form displayed on the screen of a smartphone or PC. In addition, facial expression and voice data are collected using a camera and microphone. This data constitutes the user's input data and emotional data.

[1197] Input: Reason for gift, budget, recipient's attributes, relationship with recipient, facial expression data, voice data

[1198] Output: User input data, emotion data

[1199] Step 2:

[1200] The device generates an API request that includes the information entered by the user and the collected emotion data. Specifically, the device converts the entered text information and emotion data into JSON format data and prepares an HTTPS request to send it to the server. The request includes the user ID, timestamp, input content, and emotion data.

[1201] Input: User ID, timestamp, user input data, emotion data

[1202] Output: API request

[1203] Step 3:

[1204] The server analyzes the received API request. Specifically, the server extracts the user input information and emotion data from the request body and stores them in an internal data structure.

[1205] Input: API request

[1206] Output: Stored user input data and emotion data

[1207] Step 4:

[1208] The emotion engine analyzes the extracted emotion data and determines the user's emotional state. A generative AI model is used for the analysis. For example, if the user is smiling, it is classified as "joy," if they have a serious expression, it is classified as "concentration," and if they have a sad expression, it is classified as "sadness." This emotional state data is generated and stored in the server.

[1209] Input: Emotion data

[1210] Output: Emotional state data

[1211] Step 5:

[1212] The proposal generation means selects appropriate products and services based on the user's input data and emotional state data. Specifically, it searches for products and services using the API of the intermediary service and prioritizes the search results based on the user's emotional state. For example, if the user is in a "joy" emotional state, entertainment-related products are prioritized. It also generates proposal reasons and formats this data as a response.

[1213] Input: User input data, emotional state data

[1214] Output: Proposal result data, proposal reason

[1215] Step 6:

[1216] The server sends the generated proposal results and the proposal reasons to the terminal. Specifically, the server formats this data in JSON format and sends it to the terminal using the HTTPS protocol.

[1217] Input: Proposal result data, proposal reason

[1218] Output: Server response

[1219] Step 7:

[1220] The device analyzes the received response data and displays it on the user interface. Specifically, the device analyzes the JSON data and displays the product name, price, image, and reason for the suggestion on the screen. The user can confirm the suggested gift by viewing this information. For example, information such as a "luxury chocolate gift set" and an "organic cosmetics set" may be displayed on the smartphone screen.

[1221] Input: Server response

[1222] Output: The proposal displayed in the user interface

[1223] Step 8:

[1224] The user selects from the suggested gifts and clicks on the purchase or reservation link. They then follow the instructions to proceed with the purchase process. Specifically, the user taps the "Purchase" button, enters the necessary information in the purchase form, and completes the payment. During this process, the user views detailed information and links for the selected product and makes a final confirmation.

[1225] Input: Proposal content, purchase link

[1226] Output: Purchase completion data

[1227] (Application example 2)

[1228] Next, a description will be given of Application Example 2. In the following description, the data processing device 12 will be referred to as a "server" and the headset type terminal 314 will be referred to as a "terminal."

[1229] On modern online shopping sites, users must compare and consider numerous product information to select the perfect gift, which takes time and effort. Furthermore, because the sites do not take into account the user's emotions, they often fail to provide suggestions that are appropriate for the user's mood or situation. This results in a poor user experience and makes it difficult to select the right gift.

[1230] The specific processing by the specific processing unit 290 of the data processing device 12 in the application example 2 is realized by the following means.

[1231] In this invention, the server includes a user interface means for receiving information and emotional data input by a user, a transmission means for transmitting the input information and emotional data to the server, a means for an emotion engine of the server to analyze the emotional data and determine the emotional state of the user, a proposal generation means for selecting appropriate products and services based on the determination result of the emotion engine and the input information, and a display means for displaying the proposal results and the reasons for the proposal to the user, thereby enabling optimal gift proposals that take the user's emotions into consideration.

[1232] The "user interface means" is a means for providing an interface function for a user to input input information and emotion data through a terminal and for receiving the input.

[1233] The "transmission means" has the function of formatting the information and emotion data input by the user into an appropriate format and transmitting them to the server.

[1234] An "emotion engine" is a software or hardware system that analyzes emotion data received at a server and identifies and determines the user's emotional state.

[1235] The "proposal generation means" has the function of selecting appropriate products and services and generating proposals for the user based on the input information and the emotional state determined by the emotion engine.

[1236] The "display means" provides an interface function for displaying the proposal results and the proposal reasons sent from the server on the user terminal.

[1237] This invention relates to a system for an online shopping site that recognizes a user's emotions and suggests the best gift for them. This system is implemented using a smartphone app or a head-mounted display (HMD).

[1238] 1. System Components

[1239] User Interface Means

[1240] The user interface means provides a user interface (UI) for the user to input information such as the reason for the gift, budget, the recipient's attributes, and the relationship with the recipient. Specifically, this includes smartphone applications and HMD applications. This interface has the function of collecting the user's facial expressions and voice using a camera and microphone and acquiring them as emotion data.

[1241] Transmission method

[1242] The transmission means is a means for transmitting the information entered by the user and the collected emotion data to the server. The smartphone app or HMD app formats this data as an API request and sends it to the server.

[1243] Emotion Engine

[1244] An emotion engine is a software or hardware system deployed on a server that analyzes received emotion data and determines the user's emotional state. The emotion engine uses a deep learning framework (e.g., TensorFlow, Keras) to analyze and classify emotion data.

[1245] Proposal generation means

[1246] The suggestion generator is responsible for selecting appropriate products and services based on the user's emotional state determined by the emotion engine and the user's input information. This is a backend service running on the server, and uses the API of the intermediary service (e.g., RESTful API) to search and select items from the product database. The reason for the suggestion is also generated and presented to the user.

[1247] Display means

[1248] The display means is a means for displaying the proposal results and the reasons for the proposal sent from the server on the user's device. The proposed product name, price, image, and reason for the proposal are displayed on the user interface of the smartphone app or HMD app.

[1249] 2. System Operation

[1250] The operation of this system will be explained below. Once the user inputs information and emotional data is collected, this data is sent to the server. The emotional engine analyzes the emotional data and determines the user's emotional state. Based on this result and the input information, the proposal generation means selects appropriate products and services and sends them from the server to the user's terminal along with the reason for the proposal. On the user's terminal, the proposal content is displayed on the user interface.

[1251] Examples:

[1252] For example, if a user inputs "birthday," "under 5,000 yen," "female in her 30s," and "colleague," and smiles, this information and emotional data are sent to the server, and the emotion engine determines that the emotion is "joy." Based on this information, the suggestion generation means selects entertainment-related products and items that will enhance the celebratory mood, such as a "luxury chocolate gift set."

[1253] Example prompt sentence:

[1254] An example of a prompt for generating suggestions is:

[1255] What is the best product to suggest when the user's emotion is "joy" for a "birthday," "under 5,000 yen," "female in her 30s," and "colleague"?

[1256] This system takes into account the user's emotions and makes it possible to suggest the most suitable gift.

[1257] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[1258] Step 1:

[1259] The user inputs information such as the reason for the gift, budget, the recipient's attributes, and relationship to the recipient into a smartphone app or HMD app. The app then uses a camera and microphone to collect the user's facial expressions and voice.

[1260] Input: Reason for gift, budget, recipient's attributes, relationship with recipient, facial expression data, voice data

[1261] Output: Input information and emotion data are stored in the device.

[1262] Step 2:

[1263] The device formats the information entered by the user and the collected emotion data, generates an API request containing them, and then sends the API request to the server.

[1264] Input: Input information, emotion data

[1265] Output: The API request is generated and sent to the server

[1266] Step 3:

[1267] The server analyzes the received API request and extracts the user input information and emotion data from the request body. The extracted information is stored in a data structure within the server.

[1268] Input: API request

[1269] Output: User input information and emotion data are stored in the server.

[1270] Step 4:

[1271] The server's emotion engine analyzes the extracted emotion data and determines the user's emotional state. Emotions are classified into categories such as joy, sadness, surprise, anger, and anxiety. This analysis is performed using deep learning frameworks (e.g., TensorFlow, Keras).

[1272] Input: Emotion data

[1273] Output: User's emotional state is classified

[1274] Step 5:

[1275] The server's proposal generation means selects appropriate products and services based on the user's input information and the judgment results of the emotion engine. It uses the intermediary service's API to search the product database and adjusts the priority based on the user's emotional state. It also generates proposal reasons.

[1276] Input: User input information, emotional state

[1277] Output: Proposed products and services and the reason for the proposal

[1278] Step 6:

[1279] The server then compiles the generated recommendation results and the reasons for the recommendation into response data, which it then transmits to the terminal. This response includes the product name, price, image, reason for the recommendation, and a purchase link.

[1280] Input: Proposed product, reason for proposal

[1281] Output: Response data is generated and sent to the device

[1282] Step 7:

[1283] The terminal analyzes the received response data and displays the proposed products on the user interface. The user can select from the proposed products and click on the link to purchase or reserve.

[1284] Input: Response data

[1285] Output: The proposal result and the proposal reason are displayed in the user interface.

[1286] The specific processing unit 290 transmits the result of the specific processing to the headset type terminal 314. In the headset type terminal 314, the control unit 46A causes the speaker 240 and the display 343 to output the result of the specific processing. The microphone 238 acquires audio indicating a user input regarding the result of the specific processing. The control unit 46A transmits audio data indicating the user input acquired by the microphone 238 to the data processing device 12. In the data processing device 12, the specific processing unit 290 acquires the audio data.

[1287] The data generation model 58 is a so-called generative AI (Artificial Intelligence). An example of the data generation model 58 is ChatGPT (Internet Search<URL: https: / / openai.com / blog / chatgpt> ), Gemini (Internet search <url: https: gemini.google.com ?hl="ja">) and other generation AIs. The data generation model 58 is obtained by performing deep learning on a neural network. A prompt including an instruction is input to the data generation model 58, and inference data such as voice data indicating voice, text data indicating text, and image data indicating an image is also input. The data generation model 58 performs inference on the input inference data in accordance with the instruction indicated by the prompt, and outputs the inference result in a data format such as voice data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization.

[1288] In the above embodiment, an example was given in which the specific processing is performed by the data processing device 12, but the technology of the present disclosure is not limited to this, and the specific processing may be performed by the headset type terminal 314.

[1289] [Fourth embodiment]

[1290] FIG. 7 shows an example of the configuration of a data processing system 410 according to the fourth embodiment.

[1291] 7, a data processing system 410 includes a data processing device 12 and a robot 414. An example of the data processing device 12 is a server.

[1292] The data processing device 12 includes a computer 22, a database 24, and a communication I / F 26. The computer 22 is an example of a "computer" according to the technology of the present disclosure. The computer 22 includes a processor 28, a RAM 30, and a storage 32. The processor 28, the RAM 30, and the storage 32 are connected to a bus 34. The database 24 and the communication I / F 26 are also connected to the bus 34. The communication I / F 26 is connected to a network 54. Examples of the network 54 include a WAN (Wide Area Network) and / or a LAN (Local Area Network).

[1293] The robot 414 includes a computer 36, a microphone 238, a speaker 240, a camera 42, a communication I / F 44, and a control target 443. The computer 36 includes a processor 46, a RAM 48, and a storage 50. The processor 46, the RAM 48, and the storage 50 are connected to a bus 52. The microphone 238, the speaker 240, the camera 42, and the control target 443 are also connected to the bus 52.

[1294] The microphone 238 receives instructions and the like from the user 20 by receiving voice uttered by the user 20. The microphone 238 captures the voice uttered by the user 20, converts the captured voice into audio data, and outputs it to the processor 46. The speaker 240 outputs audio in accordance with instructions from the processor 46.

[1295] Camera 42 is a small digital camera equipped with an optical system including a lens, aperture, and shutter, and an imaging element such as a CMOS (Complementary Metal-Oxide-Semiconductor) image sensor or a CCD (Charge Coupled Device) image sensor, and captures images of the surroundings of user 20 (for example, an imaging range defined by an angle of view equivalent to the field of vision of a typical healthy person).

[1296] The communication I / F 44 is connected to a network 54. The communication I / Fs 44 and 26 are responsible for the exchange of various information between the processor 46 and the processor 28 via the network 54. The exchange of various information between the processor 46 and the processor 28 using the communication I / Fs 44 and 26 is carried out in a secure state.

[1297] The control object 443 includes a display device, LEDs in the eyes, and motors for driving the arms, hands, and feet. The posture and gestures of the robot 414 are controlled by controlling the motors of the arms, hands, and feet. Some of the emotions of the robot 414 can be expressed by controlling these motors. In addition, the facial expressions of the robot 414 can also be expressed by controlling the light emission state of the LEDs in the eyes of the robot 414.

[1298] Fig. 8 shows an example of the main functions of the data processing device 12 and the robot 414. As shown in Fig. 8, in the data processing device 12, a specific process is performed by the processor 28. A specific process program 56 is stored in the storage 32.

[1299] The specific processing program 56 is an example of a "program" according to the technology of the present disclosure. The processor 28 reads the specific processing program 56 from the storage 32 and executes the read specific processing program 56 on the RAM 30. The specific processing is realized by the processor 28 operating as a specific processing unit 290 in accordance with the specific processing program 56 executed on the RAM 30.

[1300] The storage 32 stores a data generation model 58 and an emotion identification model 59. The data generation model 58 and the emotion identification model 59 are used by the identification processing unit 290.

[1301] In the robot 414, the processor 46 performs the reception output process. A reception output program 60 is stored in the storage 50. The processor 46 reads the reception output program 60 from the storage 50 and executes the read reception output program 60 on the RAM 48. The reception output process is realized by the processor 46 operating as the control unit 46A in accordance with the reception output program 60 executed on the RAM 48.

[1302] Next, a description will be given of the specific processing performed by the specific processing unit 290 of the data processing device 12. In the following description, the data processing device 12 will be referred to as a "server" and the robot 414 will be referred to as a "terminal."

[1303] This invention is a system that uses a messaging application to suggest gifts, and AI suggests the most suitable gift based on information entered by the user, allowing the user to easily select a gift and give it to the recipient. The system mainly includes a user interface means, a sending means, a suggestion generation means, and a display means.

[1304] System Components

[1305] 1. User Interface Methods

[1306] Device:

[1307] A screen is provided where users can enter information such as the reason for the gift, budget, the recipient's attributes, and their relationship with the recipient.

[1308] 2. Transmission Method

[1309] Device:

[1310] It has the function of generating and sending API requests to send information entered by the user to the server.

[1311] 3. Proposal generation means

[1312] server:

[1313] Receives API requests and analyzes user input information using an AI engine.

[1314] Search and select appropriate products and services through the API of the intermediary service.

[1315] A reason for the selection is generated, and a response is generated to be sent to the user together with the proposal results.

[1316] 4. Display means

[1317] Device:

[1318] The proposal results and the reasons for the proposal sent from the server are displayed on the user interface.

[1319] Program processing

[1320] Receiving and sending input information

[1321] The user enters the reason for the gift (e.g., birthday), budget (e.g., 5,000 yen), the recipient's attributes (e.g., a woman in her 40s), and relationship to the recipient (e.g., close friend) through the settings screen of the messaging application. Then, the user clicks the "Generate Proposal" button.

[1322] The device formats the information entered by the user and sends it to the server as an API request, which includes the user ID, the input, and a timestamp.

[1323] Proposal generation and selection reasons

[1324] The server receives the API request, analyzes the input information, and passes it to the AI ​​concierge engine, which sets conditions based on the user's input information and searches for products and services using the API of the intermediary service.

[1325] For example, a search can be performed using conditions such as "women in their 40s," "birthday," and "under 5,000 yen."

[1326] From the search results, AI will select appropriate gift options (e.g., "luxury chocolate gift set" or "organic cosmetics set").

[1327] For each selected gift, the AI ​​generates a reason for the recommendation, such as, "This organic cosmetics set is popular among women in their 40s and is affordable within their budget."

[1328] The server formats the recommendation results and reasons for the recommendation from the AI ​​concierge engine and generates a response to send to the user's device.

[1329] Viewing and selecting suggestions

[1330] The device analyzes the response received from the server and displays suggestions to the user, including:

[1331] Product name (e.g. luxury chocolate gift set, organic cosmetics set)

[1332] price

[1333] image

[1334] Reason for recommendation ("This organic cosmetics set is popular among women in their 40s and is affordable within their budget.")

[1335] The user selects from the suggested gifts and clicks on the purchase or reservation link, after which the purchase or reservation procedure is carried out.

[1336] Specific examples

[1337] Example of a user wanting to send a birthday gift to a female friend in her 40s:

[1338] 1. The user enters "birthday," "under 5,000 yen," "female in her 40s," and "close friend," and clicks "Generate suggestions."

[1339] 2. The device sends the user input data to the server as an API request.

[1340] 3. The server receives the API request and passes the input information to the AI ​​concierge engine.

[1341] 4. The AI ​​concierge engine uses the criteria of "women in their 40s" and "under 5,000 yen" to search for products from the intermediary service's API and select items such as "organic cosmetics sets."

[1342] 5. The server sends the proposal result and the reason for the proposal to the terminal.

[1343] 6. The device displays the proposal and the reason for the proposal to the user.

[1344] 7. The user selects the "organic cosmetics set" and proceeds with the purchase.

[1345] In this way, the system helps users easily find and give the right gift without having to worry about choosing one.

[1346] The processing flow will be explained below.

[1347] Step 1:

[1348] The user opens the settings screen of the messaging application, enters the reason for the gift (e.g., birthday), budget (e.g., 5,000 yen), the recipient's attributes (e.g., female in her 40s), and relationship to the recipient (e.g., close friend), and then clicks the "Generate Proposal" button.

[1349] Step 2:

[1350] The device formats the information entered by the user into JSON format, which includes the user ID, timestamp, and input details (reason for gifting, budget, recipient's attributes, and relationship to recipient).

[1351] Step 3:

[1352] The device sends the formatted data to the server as an HTTP request using the secure HTTPS protocol.

[1353] Step 4:

[1354] The server receives the HTTP request, extracts the user-supplied information from the request body, and stores it in an internal data structure.

[1355] Step 5:

[1356] The server passes the extracted user input information to the AI ​​concierge engine, which involves formatting the input information into a form that the AI ​​engine can understand.

[1357] Step 6:

[1358] The AI ​​concierge engine analyzes the information entered by the user and selects appropriate products and services based on the conditions, which includes searching for products and services using the API of the intermediary service.

[1359] Step 7:

[1360] An AI concierge engine selects suitable gift ideas from search results based on criteria such as product popularity, reviews, price, and applicability.

[1361] Step 8:

[1362] The AI ​​concierge engine generates a reason for the selected gift, such as, "This organic cosmetics set is popular among women in their 40s and is affordable within their budget."

[1363] Step 9:

[1364] The server formats the recommendation results and the reason for the recommendation received from the AI ​​concierge engine and generates a response to send to the user's device. The response includes the product name, price, image, reason for the recommendation, and a purchase link.

[1365] Step 10:

[1366] The terminal analyzes the response received from the server and displays the proposal results on the user interface.

[1367] Step 11:

[1368] The user selects an appropriate gift from the displayed suggestions, clicks the purchase link for the selected gift, and proceeds with the purchase procedure.

[1369] Step 12:

[1370] The terminal notifies the server of the user's selection and performs additional processing to complete the purchase process, which may include processing payment information and entering shipping information.

[1371] By following these steps, users can easily and efficiently choose the perfect gift and send it to the recipient.

[1372] Example 1

[1373] Next, a description will be given of Example 1. In the following description, the data processing device 12 will be referred to as a "server" and the robot 414 will be referred to as a "terminal."

[1374] When users select a gift, it is difficult to easily suggest the most suitable product or service based on appropriate information. In particular, there is a growing need for users to efficiently receive appropriate suggestions without spending time selecting a gift. Conventional systems have issues with insufficient analysis of user-entered information and generation of appropriate suggestions, and furthermore, they have difficulty guiding users to specific purchasing procedures based on the suggestions.

[1375] The specific processing by the specific processing unit 290 of the data processing device 12 in the first embodiment is realized by the following means.

[1376] In this invention, the server includes an information analysis means for analyzing user-entered information and generating prompt sentences using a generative AI model, a proposal generation means for searching for appropriate products and services using the intermediary service's API and selecting the most suitable candidates, and a display means for formatting and displaying the proposal results and the reasons for the proposal to the user. This makes it possible to efficiently suggest the most suitable gift based on the information entered by the user. Furthermore, by automatically generating the reasons for the proposal and providing a purchase link, the user can easily select the appropriate gift and proceed with the purchase process.

[1377] "User" refers to a person who uses the system to enter information to select and purchase gifts.

[1378] "Data input means" refers to an interface that allows the user to input information such as the reason for the gift, budget, the recipient's attributes, and the relationship with the recipient.

[1379] "Communication Means" refers to the technical means used to format and transmit information entered by a User to a Server.

[1380] "Information analysis means" refers to the technical means for analyzing input information sent by a user on the server and generating an appropriate prompt sentence.

[1381] A "generative AI model" refers to an artificial intelligence model that generates appropriate prompts and suggestions based on input information.

[1382] "Proposal generation means" refers to a technical means for searching for products and services using the API of an intermediary service based on prompt sentences generated by a generative AI model, and selecting the most suitable candidates.

[1383] "API for Intermediate Services" refers to an application program interface for providing product or service information using third-party services.

[1384] "Display means" refers to the technical means for displaying the proposal results and the reasons for the proposal on the user interface.

[1385] "Reasons for Proposal" refers to text that explains why the proposed product or service meets the user's criteria.

[1386] "User interface" refers to the screen and input devices that allow a user to interact with a system.

[1387] "Purchase Link" means a hyperlink that leads to the purchase process for the proposed goods or services.

[1388] "JSON format" is a lightweight data format used for data exchange, and refers to a text format based on JavaScript object notation.

[1389] This invention relates to a system that uses a messaging application to assist users in selecting a gift. This system provides a mechanism for users to easily select and give a gift by having AI suggest the most suitable gift based on information input by the user. The system mainly includes a user interface means, a communication means, an information analysis means, a suggestion generation means, and a display means.

[1390] User Interface Means

[1391] The device provides a screen where the user can enter information such as the reason for the gift, budget, the recipient's attributes, and their relationship to the recipient. For example, this role could be played by a smartphone application or a web application. The user enters the required information using text boxes and drop-down menus.

[1392] communication means

[1393] The device formats the information provided by the user and sends it to the server as an API request. Specifically, the communication protocol is HTTP POST request, and the data sent is formatted in JSON. The request includes the user ID, input content, and a timestamp.

[1394] Information analysis means

[1395] The server analyzes the API request received from the device and uses appropriate data analysis techniques to create a prompt sentence to pass the user's input information to a generative AI model, which can use natural language processing (NLP) techniques, for example.

[1396] Proposal generation means

[1397] The server uses the API of the intermediary service to search for appropriate products and services based on the prompt text created using the generative AI model. This can involve using external APIs such as Amazon's Product Advertising API or Rakuten's API. The server selects the best gift candidates from the search results and generates reasons for recommending them. Specifically, it creates reasons such as, "This organic cosmetics set is popular among women in their 40s and is affordable and within their budget."

[1398] Display means

[1399] The device analyzes the response sent from the server and displays the recommendations to the user. The displayed content includes the product name, price, image, and reason for the recommendation, allowing the user to make an appropriate selection. In addition, a link to purchase or reserve is displayed, allowing the user to easily proceed with the purchase or reservation process.

[1400] Specific examples

[1401] For example, if a user wants to choose a birthday gift for a female friend in her 40s, the following scenario could occur:

[1402] 1. The user enters "birthday," "under 5,000 yen," "female in her 40s," and "close friend," and clicks "Generate suggestions."

[1403] 2. The device sends the user input data to the server as an API request.

[1404] 3. The server receives the API request and passes the input information to the AI ​​concierge engine for analysis.

[1405] 4. The server uses the conditions "women in their 40s" and "under 5,000 yen" to search for products from the intermediary service's API and selects products such as "organic cosmetics sets."

[1406] 5. The server generates the reason for the recommendation, creating content such as, "This organic cosmetics set is popular among women in their 40s and is affordable within their budget."

[1407] 6. The device will display the offer and the reason for the offer to the user, and also provide a link to purchase.

[1408] Prompt Sentence Examples

[1409] "I'm sending a birthday present to a female friend in her 40s. Can you recommend a gift that costs under 5,000 yen?"

[1410] This system frees users from the tedious process of selecting a gift, allowing them to easily find and give the right gift.

[1411] The flow of the identification process in the first embodiment will be described with reference to FIG.

[1412] Step 1:

[1413] The user enters the reason for the gift (e.g., birthday), budget (e.g., 5,000 yen), recipient's attributes (e.g., woman in her 40s), and relationship to the recipient (e.g., close friend) on the settings screen of the messaging application. After entering the information, the user clicks the "Generate Proposal" button. The input data includes the reason for the gift, budget, recipient's attributes, and relationship. Specifically, the user enters / selects information using text boxes and drop-down menus.

[1414] Step 2:

[1415] The device collects the information entered by the user and formats it appropriately. The formatted information is prepared as JSON-formatted data. The input data includes the user ID, input content (reason for gift, budget, recipient's attributes, relationship), and timestamp. Specifically, a script such as JavaScript takes the user's input and converts it into a JSON object.

[1416] Step 3:

[1417] The terminal sends formatted JSON data to the server as an API request. The communication protocol used is an HTTP POST request. The input data is formatted JSON data, which is sent to the server and a response is waited for. Specifically, the API request is sent using XMLHttpRequest or Fetch API.

[1418] Step 4:

[1419] The server analyzes the API request received from the device. It checks the integrity of the received input data and authenticates it. The analyzed data includes the user ID, reason for gifting, budget, recipient's attributes, relationship, and timestamp. Specifically, it uses a server-side framework (e.g., Node.js or Django) to check the integrity of the data and parse it.

[1420] Step 5:

[1421] The server generates prompts to be passed to the generative AI model based on the received data. Data analysis includes natural language processing (NLP). To generate prompts, conditions must be set based on the input data (reason for gift-giving, budget, recipient attributes, relationship). Specifically, a script written in Python generates prompts based on the received data.

[1422] Step 6:

[1423] The server passes the generated prompt text to the AI ​​concierge engine and sets the search conditions. The API of the intermediary service is used to search for products and services. The prompt text (e.g., "Woman in her 40s," "Birthday," "Under 5,000 yen") is used as input data for the search. Specifically, the server calls external APIs such as the Amazon Product Advertising API and Rakuten API to perform a product search.

[1424] Step 7:

[1425] The server selects the best gift candidate from the search results and generates the reason for the selection. It generates the selected gift candidate (e.g., "organic cosmetics set") and the reason for the selection (e.g., "This organic cosmetics set is popular among women in their 40s and is affordable within their budget.") Specifically, it uses the text data generated by the AI ​​model to format the reason for the selection.

[1426] Step 8:

[1427] The server formats the recommendation results and the reason for the recommendation, generates a response, and sends it to the terminal. The response data includes the product name, price, image URL, and reason for the recommendation. Specifically, the server-side program creates an HTTP response and sends it to the terminal's endpoint.

[1428] Step 9:

[1429] The device analyzes the response received from the server, parses the received JSON data, and extracts the response data (product name, price, image, reason for recommendation). Specifically, the JavaScript code retrieves the HTTP response, parses the JSON data, and prepares it for display in the user interface.

[1430] Step 10:

[1431] The device then displays the received recommendations on a user interface. The displayed content includes the product name, price, image, and reason for the recommendation. Specifically, the content is dynamically updated and displayed using HTML and CSS with JavaScript.

[1432] Step 11:

[1433] The user selects from the suggested gifts and clicks on the purchase or reservation link. This redirects the user to an external purchase or reservation page, where the user can proceed with the purchase or reservation process. Specifically, clicking on the displayed link moves the browser to a new page.

[1434] This series of processes allows users to efficiently and easily select the most suitable gift and proceed with the procedure safely.

[1435] (Application example 1)

[1436] Next, a description will be given of Application Example 1. In the following description, the data processing device 12 will be referred to as a "server" and the robot 414 will be referred to as a "terminal."

[1437] Previous gift selection systems only allowed users to enter information online, so they rarely supported in-store gift selection. Furthermore, their visual interfaces were limited, preventing users from receiving accurate, real-time recommendations for in-store product selection. Furthermore, they lacked a way to display detailed recommendations based on the user's specific requirements and budget.

[1438] The specific processing by the specific processing unit 290 of the data processing device 12 in the application example 1 is realized by the following means.

[1439] In this invention, the server includes a display device that receives information input by a user, a communication device that transmits the input information to a network device, a proposal generation device that allows an artificial intelligence engine of the network device to select appropriate goods or services based on the input information, and a display device that displays the proposed results to the user. This allows users to receive product proposals in real time using smart glasses and make appropriate selections even when selecting gifts in a physical store.

[1440] The "display device" is a device for visually displaying information input by the user and the results of suggestions from the server.

[1441] "Communication means" refers to a means for transmitting information input by a user to a network device.

[1442] A "network device" is a device that receives data sent from a user terminal and passes it on to an artificial intelligence engine.

[1443] An "artificial intelligence engine" is an engine that analyzes and selects appropriate goods and services based on information input by the user.

[1444] The "proposal generation means" is a means for using an artificial intelligence engine to select appropriate goods or services from the information input by the user and generate the selection results.

[1445] An "API for external services" is a program interface that allows a system to access data from other service providers and obtain the necessary information from them.

[1446] "Goods and Services" means any goods or services offered to Users.

[1447] The "reason for proposal" is information that explains why the proposed product or service meets the user's input conditions.

[1448] This invention is a system that uses smart glasses to allow users to receive appropriate product suggestions in real time when selecting a gift in a physical store. Specific methods for realizing this system are described below.

[1449] System configuration

[1450] The system mainly includes the following components:

[1451] 1. Display device means:

[1452] Devices that can display information visually, such as smart glasses.

[1453] 2. Means of communication:

[1454] A function for sending user-entered information to a network device.

[1455] 3. Network devices:

[1456] A device that receives data sent from the user terminal and passes it on to the artificial intelligence engine.

[1457] 4. Artificial Intelligence Engine:

[1458] An engine that selects products and services based on input information (e.g., TensorFlow, OpenAI GPT-3).

[1459] 5. Proposal generation means:

[1460] The API of the intermediary service is used to search for products, select appropriate candidates, and generate reasons for the proposal.

[1461] Program processing

[1462] The user wears the smart glasses and inputs the conditions of the gift (reason, budget, recipient's attributes, relationship) by voice input or touch operation. The smart glasses then transmit this information to the network device using a communication means.

[1463] The network device receives the user's input information and sends that data to an AI engine. The AI ​​engine analyzes the input information and calls the API of the intermediary service to search for appropriate products and services. For example, a search can be performed using conditions such as "women in their 40s" and "under 5,000 yen."

[1464] The products or services (e.g., organic cosmetics set) selected by the AI ​​engine are sent to the smart glasses via the network device along with appropriate reasons for the recommendation.

[1465] The smart glasses will display the received recommendations and the reasons for the recommendations to the user, who can then select from the displayed recommendations and proceed with the purchase or reservation process.

[1466] Specific examples

[1467] Example of a user wanting to send a birthday gift to a female friend in her 40s:

[1468] 1. The user enters "birthday," "under 5,000 yen," "female in her 40s," and "close friend," and sends the information through the smart glasses.

[1469] 2. The network device receives the user's input information and sends it to the artificial intelligence engine.

[1470] 3. The AI ​​engine searches for products using the intermediary service's API based on the input information and selects appropriate candidates (e.g., organic cosmetics sets).

[1471] 4. The smart glasses will display the selected products and the reasons for the recommendations to the user.

[1472] 5. The user selects from the suggested gifts and proceeds with the purchase.

[1473] Prompt Sentence Examples

[1474] A specific example of a prompt for a generative AI model is as follows:

[1475] Generate suggestions to help users choose a gift based on the following criteria:

[1476] Target: Women in their 40s

[1477] Budget: Under 5,000 yen

[1478] Relationship: Close friends

[1479] Product: Organic cosmetics set

[1480] Reason for proposal:

[1481] The system allows users to easily find and select suitable gifts in real time using smart glasses in physical stores.

[1482] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[1483] Step 1:

[1484] The user puts on the smart glasses and inputs the conditions of the gift by voice input or touch operation. The input information includes the reason for the gift (e.g., birthday), budget (e.g., 5,000 yen), attributes of the recipient (e.g., woman in her 40s), and relationship with the recipient (e.g., close friend). This information is displayed on the user interface using the smart glasses' display device.

[1485] Step 2:

[1486] The device uses a communication method to receive the information entered by the user, format it, and send it to the network device, which generates an API request containing the user ID, the input, and a timestamp, and sends it to the network device.

[1487] Step 3:

[1488] The network device receives user input and sends the data to the AI ​​engine, which analyzes the input for each user and sets parameters for recommending appropriate products and services based on each user's criteria.

[1489] Step 4:

[1490] The AI ​​engine analyzes data based on input information received from the network device. The analysis takes into account the other party's attributes, budget, reason, relationship, etc., and sets conditions to search for appropriate products and services. For example, conditions such as "women in their 40s" and "under 5,000 yen" are used.

[1491] Step 5:

[1492] The AI ​​engine uses the intermediary service's API to search for products and services that match the criteria. Appropriate product candidates (e.g., organic cosmetic sets) are extracted as search results. An AI model (e.g., OpenAI GPT-3) generates the reasons for the selection, and the proposal and its reasons are sent to the network device.

[1493] Step 6:

[1494] The network device formats the recommendation results and the reasons for the recommendation received from the AI ​​engine and sends them to the terminal. The transmitted content includes the product name, price, image, and reason for the recommendation.

[1495] Step 7:

[1496] The terminal displays the received recommendation result and the reason for recommendation on the display device of the smart glasses. The displayed content includes the product name, price, image, and the generated reason for recommendation.

[1497] Step 8:

[1498] The user reviews the suggestions displayed on the smart glasses and selects the products they are interested in. The selected products are then processed through the terminal via the corresponding purchase or reservation links.

[1499] Furthermore, an emotion engine that estimates the user's emotion may be further combined. That is, the identification processing unit 290 may estimate the user's emotion using the emotion identification model 59, and perform identification processing using the user's emotion.

[1500] This invention relates to a system that recognizes a user's emotions and makes suggestions based on that information, allowing the user to select the most suitable gift. The system includes a user interface, a sending unit, a suggestion generating unit, a display unit, and an emotion engine.

[1501] System Components

[1502] 1. User Interface Means

[1503] Device:

[1504] A screen is provided where users can enter information such as the reason for the gift, budget, the recipient's attributes, and their relationship with the recipient.

[1505] It has the ability to collect emotional data using a camera and microphone to capture the user's facial expressions and voice.

[1506] 2. Transmission Method

[1507] Device:

[1508] It has the function of generating and sending API requests to send the information and emotion data entered by the user to the server.

[1509] 3. Emotion Engine

[1510] server:

[1511] The received emotional data is analyzed to determine the user's emotional state, which is classified into categories such as joy, sadness, surprise, anger, and anxiety.

[1512] 4. Proposal generation means

[1513] server:

[1514] Select appropriate products and services based on the user's input information and emotional state from the emotion engine.

[1515] Products and services are searched for using the API of the intermediary service, and selection criteria include prioritization based on emotional state.

[1516] 5. Display means

[1517] Device:

[1518] The proposal results and the reasons for the proposal sent from the server are displayed on the user interface.

[1519] Program processing

[1520] Receiving and sending information and emotional data

[1521] The user enters the reason for the gift (e.g., birthday), budget (e.g., 5,000 yen), the recipient's attributes (e.g., a woman in her 40s), and relationship to the recipient (e.g., close friend) through the settings screen of the messaging application. Facial expression and voice data are also collected through the camera and microphone. Then, the user clicks the "Generate Proposal" button.

[1522] The device formats the user's input and collected emotion data and sends an API request to the server, including the user ID, timestamp, input, and emotion data.

[1523] Suggestion generation and emotional state analysis

[1524] The server receives the HTTP request, extracts the user input information and emotion data from the request body, and stores the extracted information in a data structure within the server.

[1525] The emotion engine analyzes the extracted emotion data and determines the user's emotional state, for example categorizing the user's smiling face as "joy," a serious face as "concentration," or a sad face as "sadness."

[1526] The proposal generator selects products and services based on the user's input information and the emotional state from the emotion engine. It searches for products and services using the API of the intermediary service and adjusts the priority of the search results based on the emotional state.

[1527] For example, if a user is in a "joy" emotional state, entertainment-related products and items that enhance a celebratory mood will be prioritized.

[1528] If the emotional state is "sad," relaxation items to lift the mood or products intended to provide comfort will be selected.

[1529] For each selected gift, the AI ​​generates a reason for the suggestion, such as, "This organic cosmetics set is popular among women in their 40s and is affordable within their budget. It's a special gift that matches your emotional state."

[1530] The server formats the recommendation results and the reason for the recommendation received from the AI ​​concierge engine and generates a response to send to the user's device. The response includes the product name, price, image, reason for the recommendation, and a purchase link.

[1531] Viewing and selecting suggestions

[1532] The device analyzes the response received from the server and displays the suggestions in the user interface, including:

[1533] Product name (e.g. luxury chocolate gift set, organic cosmetics set)

[1534] price

[1535] image

[1536] Reason for recommendation ("This organic cosmetics set is popular among women in their 40s and is affordable within their budget. It's a special gift that matches your emotional state.")

[1537] The user selects from the suggested gifts and clicks on the purchase or reservation link, after which the purchase or reservation procedure is carried out.

[1538] Specific examples

[1539] For example, consider a user who wants to send a birthday gift to a female friend in her 40s and is in the happy emotional state:

[1540] 1. The user enters "birthday," "under 5,000 yen," "female in her 40s," and "close friends," and clicks "Generate Suggestions." The camera captures the user's smile.

[1541] 2. The device sends the user input data and emotion data to the server as an API request.

[1542] 3. The server receives the API request and passes the input information and emotion data to the AI ​​concierge engine.

[1543] 4. The emotion engine determines the user's emotional state as "joy."

[1544] 5. The proposal generation means searches preferentially for entertainment-related products that match "joy" and selects, for example, an "organic cosmetics set."

[1545] 6. The server sends the proposal result and the reason for the proposal to the terminal.

[1546] 7. The device displays the proposal and the reason for the proposal to the user.

[1547] 8. The user selects the proposed "organic cosmetics set" and proceeds with the purchase process.

[1548] In this way, a system can be realized that takes the user's emotions into consideration to make optimal gift suggestions and improve the user experience.

[1549] The processing flow will be explained below.

[1550] Step 1:

[1551] The user opens the settings screen of the messaging application and enters the reason for the gift (e.g., birthday), budget (e.g., 5,000 yen), the recipient's attributes (e.g., a woman in her 40s), and relationship to the recipient (e.g., close friend).Facial expression and voice data are also collected via the camera and microphone.

[1552] Step 2:

[1553] The device formats the information entered by the user and the collected emotional data into JSON format, which includes the user ID, timestamp, input content (reason for gifting, budget, recipient's attributes, relationship with recipient), and emotional data.

[1554] Step 3:

[1555] The device sends the formatted data to the server as an HTTP request using the secure HTTPS protocol.

[1556] Step 4:

[1557] The server receives the HTTP request, extracts the user input information and emotion data from the request body, and stores the extracted information in a data structure within the server.

[1558] Step 5:

[1559] The server passes the extracted emotion data to the emotion engine, which analyzes the data and determines the user's emotional state.

[1560] Step 6:

[1561] The emotion engine analyzes the user's facial expressions and voice data, classifying their emotional state into categories such as "happiness," "sadness," "surprise," "anger," and "anxiety," and then provides the classification results to the server's proposal generation means.

[1562] Step 7:

[1563] The server passes the emotional state data received from the emotion engine and user input information to the AI ​​concierge engine, which analyzes them and selects appropriate products and services based on the conditions.

[1564] Step 8:

[1565] The proposal generation means searches for products and services using the API of the intermediary service. For example, a search is performed using the conditions "women in their 40s," "birthday," and "under 5,000 yen."

[1566] Step 9:

[1567] A suggestion generator prioritizes search results according to the user's emotional state, for example, if the user is in a "joy" emotional state, entertainment-related products and products suitable for celebrations are prioritized.

[1568] Step 10:

[1569] The AI ​​concierge engine selects appropriate gift candidates from the search results. For example, it selects "organic cosmetics set" and suggests the following as the reason for the suggestion: "This organic cosmetics set is popular among women in their 40s and is affordable within your budget. It's a special gift that matches your emotional state."

[1570] Step 11:

[1571] The server formats the recommendation results and the reason for the recommendation received from the AI ​​concierge engine and generates a response to send to the user's device. The response includes the product name, price, image, reason for the recommendation, and a purchase link.

[1572] Step 12:

[1573] The terminal analyzes the response received from the server and displays the proposal results on the user interface.

[1574] Step 13:

[1575] The user selects an appropriate gift from the displayed suggestions, clicks the purchase link for the selected gift, and proceeds with the purchase procedure.

[1576] Step 14:

[1577] The terminal notifies the server of the user's selection and performs additional processing to complete the purchase process, which may include processing payment information and entering shipping information.

[1578] Through these steps, users can easily and efficiently choose the best gift that takes their emotions into consideration.

[1579] Example 2

[1580] Next, a description will be given of Example 2. In the following description, the data processing device 12 will be referred to as a "server" and the robot 414 will be referred to as a "terminal."

[1581] Conventional gift suggestion systems only make suggestions based on information entered by the user, and do not take into account the user's emotions or mood, resulting in a poor user experience. Furthermore, if the suggested products or services are not appropriate for the user's current emotional state, user satisfaction may decrease. Furthermore, suggestions that do not take emotions into account may not adequately reflect the quality or suitability of the options, making it difficult to find the perfect gift.

[1582] The specific processing by the specific processing unit 290 of the data processing device 12 in the second embodiment is realized by the following means.

[1583] In this invention, the server includes a user interface means for the user to input information such as the reason for giving the gift, the budget, the recipient's attributes, and the relationship with the recipient, a transmission means for transmitting the input information and the user's facial expression and voice data to the server, an emotion engine for analyzing the emotion data received by the server and determining the user's emotional state, a proposal generation means for selecting appropriate products and services based on the user's input information and emotional state, and a display means for displaying the proposal results and the proposal reasons on the user interface. This makes it possible to suggest optimal gifts based on the user's emotional state, significantly improving the user experience.

[1584] "User interface means" refers to the screens and operating means through which the user inputs information and interacts with the system.

[1585] "Transmission means" refers to a function or device for transmitting information entered by the user and collected emotion data to the server.

[1586] An "emotion engine" is a function or program that analyzes emotional data received from a user and determines the user's emotional state.

[1587] The "proposal generation means" is a function or program that selects appropriate products and services based on the user's input information and the emotional state from the emotion engine.

[1588] "Display means" refers to a function or device for visually presenting the proposed results and the reasons for the proposal to the user.

[1589] "API" stands for Application Program Interface, and is a set of rules and methods for exchanging data between different software programs.

[1590] "Emotional data" is data collected from a user's facial expressions and voice, and is information used to analyze the user's emotional state.

[1591] The "reason for proposal" is information that explains to the user the criteria by which the proposed product or service was selected.

[1592] A "server" is a computer system that processes data received from a client and returns any necessary responses.

[1593] This invention relates to a system that recognizes a user's emotions and makes suggestions based on that information, allowing the user to select the most suitable gift. The system includes a user interface, a sending unit, a suggestion generating unit, a display unit, and an emotion engine.

[1594] System Components

[1595] 1. User Interface Methods

[1596] The device provides a screen where users can input information such as the reason for the gift, budget, the recipient's attributes, and their relationship with the recipient. It also has the ability to capture the user's facial expressions and voice using a camera and microphone to collect emotional data.

[1597] 2. Transmission Method

[1598] The device generates and sends an API request to the server to send the information entered by the user and the collected emotion data. This request includes the user ID, timestamp, input content, and emotion data.

[1599] 3. Emotion Engine

[1600] The server analyzes the received emotion data and determines the user's emotional state. Emotions are classified into categories such as happiness, sadness, surprise, anger, and anxiety. For example, if the user is smiling, it is considered "happiness," if they have a serious expression, it is considered "concentration," and if they have a sad expression, it is considered "sadness."

[1601] 4. Proposal generation means

[1602] The server selects appropriate products and services based on the user's input information and the emotional state from the emotion engine. It searches for products and services using the intermediary service's API and sets priorities based on the emotional state. For example, if the user is in a "joy" emotional state, entertainment-related products and items that enhance celebratory moods will be prioritized. If the user is in a "sad" emotional state, relaxation items to lighten the mood and products with a comforting message will be selected.

[1603] 5. Display means

[1604] The device displays the recommendation results and the reasons for the recommendation sent from the server on the user interface. The recommendation contents include the product name, price, image, reason for the recommendation, and a purchase link.

[1605] Specific examples

[1606] For example, consider a user who wants to send a birthday gift to a female friend in her 40s and is in the happy emotional state:

[1607] 1. The user enters "birthday," "under 5,000 yen," "female in her 40s," and "close friend," and clicks "Generate Suggestions." The camera captures the user's smile.

[1608] 2. The device sends the user input data and emotion data to the server as an API request.

[1609] 3. The server receives the API request and passes the input information and emotion data to the AI ​​concierge engine.

[1610] 4. The emotion engine determines the user's emotional state as "joy."

[1611] 5. The proposal generation means searches preferentially for entertainment-related products that match "joy" and selects, for example, an "organic cosmetics set."

[1612] 6. The server sends the proposal result and the reason for the proposal to the terminal.

[1613] 7. The device displays the suggestion and the reason for the suggestion to the user.

[1614] 8. The user selects the suggested "organic cosmetics set" and proceeds with the purchase process.

[1615] Example prompts to input to the generative AI model

[1616] "I want to send a birthday gift to a female friend in her 40s. The budget is within 5000 yen, and the user's emotional state is joy. I'm looking for suitable gift suggestions."

[1617] The flow of the identification process in the second embodiment will be described with reference to FIG.

[1618] Step 1:

[1619] The user enters information such as the reason for the gift, budget, the recipient's attributes, and the relationship with the recipient through the interface of the messaging application. Specifically, the user enters this information in text format into an input form displayed on the screen of a smartphone or PC. In addition, facial expression and voice data are collected using a camera and microphone. This data constitutes the user's input data and emotional data.

[1620] Input: Reason for gift, budget, recipient's attributes, relationship with recipient, facial expression data, voice data

[1621] Output: User input data, emotion data

[1622] Step 2:

[1623] The device generates an API request that includes the information entered by the user and the collected emotion data. Specifically, the device converts the entered text information and emotion data into JSON format data and prepares an HTTPS request to send it to the server. The request includes the user ID, timestamp, input content, and emotion data.

[1624] Input: User ID, timestamp, user input data, emotion data

[1625] Output: API request

[1626] Step 3:

[1627] The server analyzes the received API request. Specifically, the server extracts the user input information and emotion data from the request body and stores them in an internal data structure.

[1628] Input: API request

[1629] Output: Stored user input data and emotion data

[1630] Step 4:

[1631] The emotion engine analyzes the extracted emotion data and determines the user's emotional state. A generative AI model is used for the analysis. For example, if the user is smiling, it is classified as "joy," if they have a serious expression, it is classified as "concentration," and if they have a sad expression, it is classified as "sadness." This emotional state data is generated and stored in the server.

[1632] Input: Emotion data

[1633] Output: Emotional state data

[1634] Step 5:

[1635] The proposal generation means selects appropriate products and services based on the user's input data and emotional state data. Specifically, it searches for products and services using the API of the intermediary service and prioritizes the search results based on the user's emotional state. For example, if the user is in a "joy" emotional state, entertainment-related products are prioritized. It also generates proposal reasons and formats this data as a response.

[1636] Input: User input data, emotional state data

[1637] Output: Proposal result data, proposal reason

[1638] Step 6:

[1639] The server sends the generated proposal results and the proposal reasons to the terminal. Specifically, the server formats this data in JSON format and sends it to the terminal using the HTTPS protocol.

[1640] Input: Proposal result data, proposal reason

[1641] Output: Server response

[1642] Step 7:

[1643] The device analyzes the received response data and displays it on the user interface. Specifically, the device analyzes the JSON data and displays the product name, price, image, and reason for the suggestion on the screen. The user can confirm the suggested gift by viewing this information. For example, information such as a "luxury chocolate gift set" and an "organic cosmetics set" may be displayed on the smartphone screen.

[1644] Input: Server response

[1645] Output: The proposal displayed in the user interface

[1646] Step 8:

[1647] The user selects from the suggested gifts and clicks on the purchase or reservation link. They then follow the instructions to proceed with the purchase process. Specifically, the user taps the "Purchase" button, enters the necessary information in the purchase form, and completes the payment. During this process, the user views detailed information and links for the selected product and makes a final confirmation.

[1648] Input: Proposal content, purchase link

[1649] Output: Purchase completion data

[1650] (Application example 2)

[1651] Next, a description will be given of Application Example 2. In the following description, the data processing device 12 will be referred to as a "server" and the robot 414 will be referred to as a "terminal."

[1652] On modern online shopping sites, users must compare and consider numerous product information to select the perfect gift, which takes time and effort. Furthermore, because the sites do not take into account the user's emotions, they often fail to provide suggestions that are appropriate for the user's mood or situation. This results in a poor user experience and makes it difficult to select the right gift.

[1653] The specific processing by the specific processing unit 290 of the data processing device 12 in the application example 2 is realized by the following means.

[1654] In this invention, the server includes a user interface means for receiving information and emotional data input by a user, a transmission means for transmitting the input information and emotional data to the server, a means for an emotion engine of the server to analyze the emotional data and determine the emotional state of the user, a proposal generation means for selecting appropriate products and services based on the determination result of the emotion engine and the input information, and a display means for displaying the proposal results and the reasons for the proposal to the user, thereby enabling optimal gift proposals that take the user's emotions into consideration.

[1655] The "user interface means" is a means for providing an interface function for a user to input input information and emotion data through a terminal and for receiving the input.

[1656] The "transmission means" has the function of formatting the information and emotion data input by the user into an appropriate format and transmitting them to the server.

[1657] An "emotion engine" is a software or hardware system that analyzes emotion data received at a server and identifies and determines the user's emotional state.

[1658] The "proposal generation means" has the function of selecting appropriate products and services and generating proposals for the user based on the input information and the emotional state determined by the emotion engine.

[1659] The "display means" provides an interface function for displaying the proposal results and the proposal reasons sent from the server on the user terminal.

[1660] This invention relates to a system for an online shopping site that recognizes a user's emotions and suggests the best gift for them. This system is implemented using a smartphone app or a head-mounted display (HMD).

[1661] 1. System Components

[1662] User Interface Means

[1663] The user interface means provides a user interface (UI) for the user to input information such as the reason for the gift, budget, the recipient's attributes, and the relationship with the recipient. Specifically, this includes smartphone applications and HMD applications. This interface has the function of collecting the user's facial expressions and voice using a camera and microphone and acquiring them as emotion data.

[1664] Transmission method

[1665] The transmission means is a means for transmitting the information entered by the user and the collected emotion data to the server. The smartphone app or HMD app formats this data as an API request and sends it to the server.

[1666] Emotion Engine

[1667] An emotion engine is a software or hardware system deployed on a server that analyzes received emotion data and determines the user's emotional state. The emotion engine uses a deep learning framework (e.g., TensorFlow, Keras) to analyze and classify emotion data.

[1668] Proposal generation means

[1669] The suggestion generator is responsible for selecting appropriate products and services based on the user's emotional state determined by the emotion engine and the user's input information. This is a backend service running on the server, and uses the API of the intermediary service (e.g., RESTful API) to search and select items from the product database. The reason for the suggestion is also generated and presented to the user.

[1670] Display means

[1671] The display means is a means for displaying the proposal results and the reasons for the proposal sent from the server on the user's device. The proposed product name, price, image, and reason for the proposal are displayed on the user interface of the smartphone app or HMD app.

[1672] 2. System Operation

[1673] The operation of this system will be explained below. Once the user inputs information and emotional data is collected, this data is sent to the server. The emotional engine analyzes the emotional data and determines the user's emotional state. Based on this result and the input information, the proposal generation means selects appropriate products and services and sends them from the server to the user's terminal along with the reason for the proposal. On the user's terminal, the proposal content is displayed on the user interface.

[1674] Examples:

[1675] For example, if a user inputs "birthday," "under 5,000 yen," "female in her 30s," and "colleague," and smiles, this information and emotional data are sent to the server, and the emotion engine determines that the emotion is "joy." Based on this information, the suggestion generation means selects entertainment-related products and items that will enhance the celebratory mood, such as a "luxury chocolate gift set."

[1676] Example prompt sentence:

[1677] An example of a prompt for generating suggestions is:

[1678] What is the best product to suggest when the user's emotion is "joy" for a "birthday," "under 5,000 yen," "female in her 30s," and "colleague"?

[1679] This system takes into account the user's emotions and makes it possible to suggest the most suitable gift.

[1680] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[1681] Step 1:

[1682] The user inputs information such as the reason for the gift, budget, the recipient's attributes, and relationship to the recipient into a smartphone app or HMD app. The app then uses a camera and microphone to collect the user's facial expressions and voice.

[1683] Input: Reason for gift, budget, recipient's attributes, relationship with recipient, facial expression data, voice data

[1684] Output: Input information and emotion data are stored in the device.

[1685] Step 2:

[1686] The device formats the information entered by the user and the collected emotion data, generates an API request containing them, and then sends the API request to the server.

[1687] Input: Input information, emotion data

[1688] Output: The API request is generated and sent to the server

[1689] Step 3:

[1690] The server analyzes the received API request and extracts the user input information and emotion data from the request body. The extracted information is stored in a data structure within the server.

[1691] Input: API request

[1692] Output: User input information and emotion data are stored in the server.

[1693] Step 4:

[1694] The server's emotion engine analyzes the extracted emotion data and determines the user's emotional state. Emotions are classified into categories such as joy, sadness, surprise, anger, and anxiety. This analysis is performed using deep learning frameworks (e.g., TensorFlow, Keras).

[1695] Input: Emotion data

[1696] Output: User's emotional state is classified

[1697] Step 5:

[1698] The server's proposal generation means selects appropriate products and services based on the user's input information and the judgment results of the emotion engine. It uses the intermediary service's API to search the product database and adjusts the priority based on the user's emotional state. It also generates proposal reasons.

[1699] Input: User input information, emotional state

[1700] Output: Proposed products and services and the reason for the proposal

[1701] Step 6:

[1702] The server then compiles the generated recommendation results and the reasons for the recommendation into response data, which it then transmits to the terminal. This response includes the product name, price, image, reason for the recommendation, and a purchase link.

[1703] Input: Proposed product, reason for proposal

[1704] Output: Response data is generated and sent to the device

[1705] Step 7:

[1706] The terminal analyzes the received response data and displays the proposed products on the user interface. The user can select from the proposed products and click on the link to purchase or reserve.

[1707] Input: Response data

[1708] Output: The proposal result and the proposal reason are displayed in the user interface.

[1709] The specific processing unit 290 transmits the result of the specific processing to the robot 414. In the robot 414, the control unit 46A causes the speaker 240 and the control target 443 to output the result of the specific processing. The microphone 238 acquires voice indicating a user input regarding the result of the specific processing. The control unit 46A transmits voice data indicating the user input acquired by the microphone 238 to the data processing device 12. In the data processing device 12, the specific processing unit 290 acquires the voice data.

[1710] The data generation model 58 is a so-called generative AI (Artificial Intelligence). An example of the data generation model 58 is ChatGPT (Internet Search<URL: https: / / openai.com / blog / chatgpt> ), Gemini (Internet search <url: https: gemini.google.com ?hl="ja">) and other generation AIs. The data generation model 58 is obtained by performing deep learning on a neural network. A prompt including an instruction is input to the data generation model 58, and inference data such as voice data indicating voice, text data indicating text, and image data indicating an image is also input. The data generation model 58 performs inference on the input inference data in accordance with the instruction indicated by the prompt, and outputs the inference result in a data format such as voice data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization.

[1711] In the above embodiment, an example was given in which the specific processing is performed by the data processing device 12, but the technology of the present disclosure is not limited to this, and the specific processing may be performed by the robot 414.

[1712] The emotion identification model 59 as an emotion engine may determine the user's emotion according to a specific mapping. Specifically, the emotion identification model 59 may determine the user's emotion according to an emotion map (see FIG. 9), which is a specific mapping. Similarly, the emotion identification model 59 may determine the robot's emotion, and the identification processing unit 290 may perform identification processing using the robot's emotion.

[1713] FIG. 9 is a diagram illustrating an emotion map 400 on which multiple emotions are mapped. In the emotion map 400, emotions are arranged in concentric circles radiating from the center. Emotions closer to the center of the concentric circles are more primitive. Emotions representing states and actions arising from a state of mind are arranged on the outer edges of the concentric circles. The concept of emotion includes both affect and mental states. Emotions generally generated from reactions occurring in the brain are arranged on the left side of the concentric circles. Emotions generally induced by situational judgment are arranged on the right side of the concentric circles. Emotions generally generated from reactions occurring in the brain and induced by situational judgment are arranged on the upper and lower sides of the concentric circles. Furthermore, the emotion of "pleasure" is arranged on the upper side of the concentric circles, and the emotion of "discomfort" is arranged on the lower side. In this way, in the emotion map 400, multiple emotions are mapped based on the structure by which emotions are generated, and emotions that tend to occur simultaneously are mapped close to each other.

[1714] These emotions are distributed in the 3 o'clock direction on emotion map 400, and typically fluctuate between relief and anxiety. In the right half of emotion map 400, situational awareness dominates over internal sensations, resulting in a sense of calm.

[1715] The inside of emotion map 400 represents what is going on in the mind, and the outside of emotion map 400 represents behavior, so the further you go outside emotion map 400, the more visible the emotions become (the more they are expressed in behavior).

[1716] Human emotions are based on various balances, such as posture and blood sugar levels. When these balances deviate from the ideal, a state of discomfort is indicated, and when they approach the ideal, a state of pleasure is indicated. Emotions can also be created for robots, automobiles, and motorcycles, based on various balances, such as posture and remaining battery life. When these balances deviate from the ideal, a state of discomfort is indicated, and when they approach the ideal, a state of pleasure is indicated. An emotion map can be generated, for example, based on Dr. Mitsuyoshi's emotion map (Research on Voice Emotion Recognition and Emotional Brain Physiological Signal Analysis Systems, Tokushima University, Doctoral Dissertation: https: / / ci.nii.ac.jp / naid / 500000375379). The left half of the emotion map lists emotions belonging to the "reaction" domain, where sensation is dominant. The right half of the emotion map lists emotions belonging to the "situation" domain, where situational awareness is dominant.

[1717] The emotion map defines two emotions that promote learning. One is a negative emotion on the situation side, around the middle of "repentance" or "reflection." In other words, this occurs when the robot experiences negative emotions such as "I never want to feel this way again" or "I don't want to be scolded again." The other is a positive emotion on the response side, around "desire." In other words, this occurs when the robot experiences positive feelings such as "I want more" or "I want to know more."

[1718] The emotion identification model 59 inputs user input into a pre-trained neural network, obtains emotion values ​​indicating each emotion shown in the emotion map 400, and determines the user's emotion. This neural network is pre-trained based on multiple pieces of training data that are combinations of user input and emotion values ​​indicating each emotion shown in the emotion map 400. Furthermore, this neural network is trained so that emotions that are located close to each other have similar values, as in the emotion map 900 shown in FIG. 10. FIG. 10 shows an example in which multiple emotions, "relieved," "calm," and "reassuring," have similar emotion values.

[1719] The system according to the present disclosure has been described above mainly with respect to the functions of the data processing device 12, but the system according to the present disclosure is not necessarily implemented on a server. The system according to the present disclosure may be implemented as a general information processing system. The present disclosure may be implemented, for example, as a software program running on a personal computer or an application running on a smartphone, etc. The method according to the present disclosure may be provided to users in the form of SaaS (Software as a Service).

[1720] In the above embodiment, an example was given in which the specific processing is performed by one computer 22, but the technology of the present disclosure is not limited to this, and the specific processing may be distributed and performed by a plurality of computers including the computer 22. For example, the data generation model 58 may be provided in an external device of the data processing device 12, and data may be generated in the external device in accordance with input data.

[1721] In the above embodiment, an example in which the specific processing program 56 is stored in the storage 32 has been described, but the technology of the present disclosure is not limited to this. For example, the specific processing program 56 may be stored in a portable, computer-readable, non-transitory storage medium such as a USB (Universal Serial Bus) memory. The specific processing program 56 stored in the non-transitory storage medium is installed in the computer 22 of the data processing device 12. The processor 28 executes the specific processing in accordance with the specific processing program 56.

[1722] 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.

[1723] It is not necessary to store all of the specific processing program 56 in a storage device such as a server connected to the data processing device 12 via the network 54, or to store all of the specific processing program 56 in the storage 32; only a portion of the specific processing program 56 may be stored.

[1724] The hardware resource for executing a specific process can be any of the following processors: An example of a processor is a CPU, which is a general-purpose processor that functions as a hardware resource for executing a specific process by executing software, i.e., a program. Another example of a processor is a dedicated electrical circuit, such as an FPGA (Field-Programmable Gate Array), a PLD (Programmable Logic Device), or an ASIC (Application Specific Integrated Circuit), which is a processor with a circuit configuration designed specifically for executing a specific process. Each processor has built-in or connected memory, and each processor uses the memory to execute the specific process.

[1725] The hardware resource that executes the specific processing may be configured with one of these various processors, or may be configured with a combination of two or more processors of the same or different types (for example, a combination of multiple FPGAs, or a combination of a CPU and an FPGA). Also, the hardware resource that executes the specific processing may be a single processor.

[1726] As an example of a system configured with a single processor, first, one processor is configured by combining one or more CPUs and software, and this processor functions as a hardware resource that executes a specific process. Second, there is a system that uses a processor that realizes the functions of an entire system including multiple hardware resources that execute a specific process on a single IC chip, as typified by SoC (System-on-a-chip). In this way, a specific process is realized using one or more of the above-mentioned various processors as hardware resources.

[1727] Furthermore, the hardware structure of these various processors can be, more specifically, an electric circuit that combines circuit elements such as semiconductor devices. The specific processing described above is merely an example. Therefore, it goes without saying that unnecessary steps may be deleted, new steps may be added, or the processing order may be rearranged, without departing from the spirit of the invention.

[1728] The above-described description and illustrations are a detailed explanation of the parts related to the technology of the present disclosure and are merely an example of the technology of the present disclosure. For example, the above description of the configuration, functions, actions, and effects is an explanation of an example of the configuration, functions, actions, and effects of the parts related to the technology of the present disclosure. Therefore, it goes without saying that unnecessary parts may be deleted, new elements may be added, or replacements may be made to the above-described description and illustrations within the scope of the gist of the technology of the present disclosure. Furthermore, to avoid confusion and facilitate understanding of the parts related to the technology of the present disclosure, the above-described description and illustrations omit explanations of common technical knowledge that do not require particular explanation to enable the implementation of the technology of the present disclosure.

[1729] All publications, patent applications, and technical standards mentioned in this specification are herein incorporated by reference to the same extent as if each individual publication, patent application, or technical standard was specifically and individually indicated to be incorporated by reference.

[1730] The following is further disclosed regarding the above embodiment.

[1731] (Claim 1)

[1732] a user interface means for receiving information input by a user;

[1733] a transmitting means for transmitting the input information to a server;

[1734] a proposal generation means for allowing the AI ​​engine of the server to select appropriate products and services based on the input information;

[1735] a display means for displaying the proposed results to a user;

[1736] A system including:

[1737] (Claim 2)

[1738] 2. The system according to claim 1, wherein the proposal generating means searches for the products and services using an API of an intermediary service and selects optimal candidates.

[1739] (Claim 3)

[1740] 2. The system according to claim 1, wherein the proposal generating means generates a reason for the proposal based on the information input by the user, and presents the reason for the proposal to the user by the display means.

[1741] "Example 1"

[1742] (Claim 1)

[1743] data entry means for receiving information entered by a user;

[1744] a communication means for transmitting the input information to a server;

[1745] an information analysis means in the server that analyzes the input information and generates a prompt sentence using a generative AI model;

[1746] a proposal generation means for searching for appropriate products or services using an API of an intermediary service based on the generated prompt sentence and selecting an optimal candidate;

[1747] display means for formatting and displaying the proposed results and reasons for the proposal to a user;

[1748] A system including:

[1749] (Claim 2)

[1750] 2. The system according to claim 1, wherein the proposal generating means automatically generates an appropriate reason for proposal based on a product or service acquired from an API of an intermediary service.

[1751] (Claim 3)

[1752] 10. The system of claim 1, wherein the display means formats the user-selected suggestions and provides a link for purchase or reservation.

[1753] "Application Example 1"

[1754] (Claim 1)

[1755] a display means for receiving information entered by a user;

[1756] a communication means for transmitting the input information to a network device;

[1757] a proposal generation means for allowing an artificial intelligence engine of the network device to select appropriate goods or services based on the input information;

[1758] a display means for displaying the proposed results to a user;

[1759] A system including:

[1760] (Claim 2)

[1761] 2. The system according to claim 1, wherein the proposal generating means searches for the goods or services using an API of an external service and selects the most suitable candidate.

[1762] (Claim 3)

[1763] 2. The system according to claim 1, wherein the proposal generating means generates a reason for the proposal based on the information input by the user, and presents the reason for the proposal to the user by the display means.

[1764] "Example 2: Combining Emotion Engines"

[1765] (Claim 1)

[1766] a user interface means for allowing a user to input information such as the reason for giving a gift, a budget, attributes of the recipient, and a relationship with the recipient;

[1767] a transmitting means for transmitting the input information and the user's facial expression and voice data to a server;

[1768] an emotion engine that analyzes the emotion data received by the server and determines the user's emotional state;

[1769] a proposal generation means for selecting appropriate products and services based on the input information and emotional state of the user;

[1770] a display means for displaying the proposed result and the reason for the proposal on a user interface;

[1771] A system including:

[1772] (Claim 2)

[1773] 2. The system according to claim 1, wherein the proposal generator searches for the products and services using an API of an intermediary service and sets priorities based on emotional states.

[1774] (Claim 3)

[1775] 2. The system according to claim 1, wherein the suggestion generating means generates the suggestion result based on the emotional state of the user and the reason for the suggestion.

[1776] "Application example 2 when combining emotion engines"

[1777] (Claim 1)

[1778] a user interface means for receiving user input information and emotion data;

[1779] a transmitting means for transmitting the input information and emotion data to a server;

[1780] means for an emotion engine of the server to analyze the emotion data and determine the user's emotional state;

[1781] a proposal generation means for selecting appropriate products and services based on the judgment result of the emotion engine and input information;

[1782] a display means for displaying the proposed results and the reasons for the proposal to a user;

[1783] A system including:

[1784] (Claim 2)

[1785] 2. The system according to claim 1, wherein the proposal generating means searches for the products and services using an API of an intermediary service and selects optimal candidates.

[1786] (Claim 3)

[1787] 2. The system according to claim 1, wherein the suggestion generating means generates a reason for suggestion based on the input information and emotional state of the user, and presents the reason for suggestion to the user by the display means. [Explanation of symbols]

[1788] 10, 210, 310, 410 Data Processing Systems 12 Data Processing Device 14 Smart Devices 214 Smart Glasses 314 Headset-type terminal 414 Robot< / url:> < / url:> < / url:> < / url:>

Claims

1. a user interface means for receiving information input by a user; a transmitting means for transmitting the input information to a server; a proposal generation means for allowing the AI ​​engine of the server to select appropriate products and services based on the input information; a display means for displaying the proposed results to a user; A system including:

2. The system according to claim 1 , wherein the proposal generating means searches for the products and services using an API of an intermediary service and selects the most suitable candidates.

3. 2. The system according to claim 1, wherein said proposal generating means generates a reason for proposal based on the information input by the user, and presents the reason for proposal to the user by said display means.

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