system

Abstract

Provide a system. [Solution] means for providing a set of questions for the user to answer in the questionnaire; means for transmitting user response data to a server; A means for storing and analyzing the response data received by the server; A means for selecting the most suitable service based on the stored and analyzed response data; The system includes means for returning and displaying the selected service to the user terminal.

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] In conventional service provision systems, it was difficult to select optimal services that were not dependent on the skills or experience of the user, making it difficult to quickly provide services that satisfied the user.Furthermore, there were issues such as a lack of flexibility to respond to diverse user needs and a lack of an interface that was easy for users to use. [Means for solving the problem]

[0005] In order to solve the above problems, the present invention provides the following means: A system is configured including means for providing a set of questions for users to answer in a questionnaire, means for transmitting the user's answer data to a server, means for the server to store and analyze the received answer data, means for selecting an optimal service based on the stored and analyzed answer data, and means for returning and displaying the selected service to the user's terminal. This makes it possible to quickly and flexibly provide services that are optimal for the user's needs, regardless of the user's skills or experience.

[0006] "User" refers to the entity that answers the questionnaire and uses the service.

[0007] A "survey" refers to a series of questions that present specific questions to users and collect their responses.

[0008] A "question group" refers to a set of multiple questions prepared to collect information from a user.

[0009] "Response data" refers to response information provided by a user to a questionnaire.

[0010] "Server" refers to a computer system that receives requests from user terminals via a network, stores data, analyzes it, and selects services.

[0011] "Analysis" refers to the process by which the server evaluates the user's needs and characteristics based on the response data received and selects appropriate services.

[0012] "Saving" refers to storing the response data received by the server in a storage device such as a database.

[0013] "Selection" refers to determining the service that best suits the user's needs based on the analyzed response data.

[0014] "Services" refers to specific products or assistance provided to meet a User's needs.

[0015] "Terminal" refers to the device used by a user to respond to surveys and receive services.

[0016] "Display" refers to the terminal visually presenting the content of the optimal service to the user. [Brief explanation of the drawings]

[0017] [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

[0018] 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.

[0019] First, the terms used in the following description will be explained.

[0020] 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).

[0021] 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.

[0022] 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.

[0023] 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.

[0024] 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."

[0025] [First embodiment]

[0026] FIG. 1 shows an example of the configuration of a data processing system 10 according to the first embodiment.

[0027] 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.

[0028] 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).

[0029] 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.

[0030] 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.

[0031] 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.

[0032] 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.

[0033] FIG. 2 shows an example of the main functions of the data processing device 12 and the smart device 14.

[0034] 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.

[0035] 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.

[0036] 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.

[0037] 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."

[0038] The present invention relates to a system that automatically selects and provides optimal services based on users' responses to a questionnaire. This system is composed of terminals, a server, and a network that realizes communication between them.

[0039] In an embodiment of this system, a user accesses a survey using a terminal and answers individual questions. After the user answers all the questions, the terminal transmits the answer data in JSON format to a server. As a specific example, a user may answer questions about "areas of interest," "frequency of use," and "budget range."

[0040] The server stores the JSON-formatted response data received from the device and analyzes it. During the analysis process, a predefined algorithm is used to select the optimal service based on the user's response data. For example, if the user's "area of ​​interest" is "technology" and their "budget range" is "high," the server will select the "Technology Premium Plan."

[0041] The server then returns the selected optimal service in JSON format to the device, which then interprets the service data and visually displays it to the user, allowing the user to easily obtain information about the optimal service for them.

[0042] As a concrete example, let's consider a case where the user answers "Interest: Technology", "Service Usage Frequency: Daily", and "Budget Range: High". In this case, the server will process as follows:

[0043] 1. The device sends the response data to the server.

[0044] 2. The server analyzes the received data and determines that the "Technology Premium Plan" is optimal.

[0045] 3. The server returns the selected service to the terminal.

[0046] 4. The device displays the "Technology Premium Plan" to the user.

[0047] In this way, it becomes possible to quickly and accurately select and provide the most suitable service, regardless of the user's skill or experience. This system is both flexible and simple, and can meet the needs of a wide variety of users.

[0048] This embodiment effectively solves the problems of the present invention and improves the user experience.

[0049] The processing flow will be explained below.

[0050] Step 1:

[0051] The user launches the survey app on their device and accesses the survey.

[0052] Step 2:

[0053] The device sends a GET request to the server's / get_questions endpoint.

[0054] Step 3:

[0055] The server receives a request via the / get_questions endpoint and returns a set of predefined questions in JSON format to the device.

[0056] Step 4:

[0057] The terminal displays the questions returned from the server to the user.

[0058] Step 5:

[0059] The user enters answers to each question at the terminal to complete the answer.

[0060] Step 6:

[0061] The device converts the user's response data into JSON format and sends a POST request to the server's / submit_response endpoint.

[0062] Step 7:

[0063] The server receives the POST request via the / submit_response endpoint and stores the received response data in the customer_responses list.

[0064] Step 8:

[0065] The server returns a message in JSON format saying "Answer accepted."

[0066] Step 9:

[0067] The user performs an operation on the terminal to request the optimal service.

[0068] Step 10:

[0069] The device converts the pre-stored response data into JSON format and sends a POST request to the server's / get_service endpoint.

[0070] Step 11:

[0071] The server receives a POST request via the / get_service endpoint and parses the received response data.

[0072] Step 12:

[0073] The server selects the most suitable service for the user based on the analysis results. For example, if the user's area of ​​interest is "technology" and the user's budget is "high," the server selects the "technology premium plan."

[0074] Step 13:

[0075] The server returns the selected optimal service to the device in JSON format.

[0076] Step 14:

[0077] The terminal interprets the data of the optimal service received from the server and visually displays it to the user.

[0078] Example 1

[0079] 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."

[0080] In modern society, a wide variety of services are available, making it difficult for users to select the service that best suits them. Manual selection is time-consuming, labor-intensive, and inefficient, as it relies on experience and knowledge. To address this issue, there is a need for a system that allows users to easily select and quickly use the service that best suits them.

[0081] 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.

[0082] In this invention, the server includes means for providing a plurality of questions for the user to answer in a questionnaire, means for converting the user's answer data into a data format and sending it to the server, means for storing the answer data received by the server in a database and analyzing it, means for selecting an optimal service for the user based on the saved and analyzed answer data using a predefined algorithm, and means for converting the selected service information into a data format and returning it to the user terminal for display. This makes it possible to efficiently and quickly select an optimal service without relying on the user's skills or experience.

[0083] "User" refers to a person who accesses the system, answers the questionnaire, and uses the service.

[0084] A "questionnaire" refers to a series of questions that users answer, and is a means of gathering information for service selection.

[0085] "Questions" refer to items presented to users in a questionnaire, and are intended to understand the user's interests and usage status.

[0086] "Answer data" refers to information entered by a user in response to a question.

[0087] "Data format" refers to the format (e.g., JSON format) used to send response data to the server.

[0088] "Server" refers to a computer system for storing and analyzing received data.

[0089] "Database" refers to a structured data storage system used by a server to store data.

[0090] "Analysis" refers to the process by which the server processes the received data using algorithms to extract meaningful information.

[0091] An "algorithm" refers to a series of steps or calculation methods used to analyze response data and select the most suitable service for a user.

[0092] "Services" refers to the features and plans that a User may select and use.

[0093] "Selecting" refers to the act of determining the most appropriate service based on analyzed data.

[0094] "Return" refers to the act of the server sending data back to the terminal.

[0095] "Displaying" refers to the act of allowing a user to visually confirm information on a terminal.

[0096] The present invention relates to a system that automatically selects and provides optimal services based on users' responses to a questionnaire. This system is mainly composed of users, terminals, a server, and a network that realizes communication between them.

[0097] The user accesses and answers the provided survey using a terminal. Specifically, the user accesses the survey page using a web browser (e.g., GOOGLE CHROME (registered trademark) or Mozilla Firefox). The survey includes questions such as "areas of interest," "frequency of service use," and "budget range," and the user answers these questions.

[0098] The device converts the user's response data into JSON format and sends it to the server over the network, typically using an HTTP POST request. The server then stores the received JSON-formatted response data in a database (for example, MySQL (registered trademark) or MongoDB).

[0099] The server uses a predefined algorithm to analyze the stored data. The algorithm is implemented in a programming language such as Python and selects the most suitable service based on the user's response data. For example, if a user's area of ​​interest is "technology" and their budget range is "high," the server will determine that the "Technology Premium Plan" is the most suitable.

[0100] The server then converts the selected service information back into JSON format and sends it to the device, which then interprets the received JSON data and displays it visually to the user using front-end technologies such as React.js or Vue.js.

[0101] As a concrete example, let's consider a scenario where the user answers "Interest: Technology", "Service Usage: Daily", and "Budget Range: High". In this case, the server will do the following:

[0102] 1. The device converts the answer data (area of ​​interest: technology), (frequency of use: daily), and (budget range: high) into JSON format and sends it.

[0103] 2. The server receives the data and stores it in a database.

[0104] 3. The server analyzes the data and determines that the "Technology Premium Plan" is optimal.

[0105] 4. The server returns the selected service information to the device in JSON format.

[0106] 5. The data received by the device is displayed to the user using React.js.

[0107] In this way, users can efficiently and quickly select and use the most suitable service regardless of their own skills or experience.

[0108] Example prompt sentence:

[0109] I am thinking of a program for a system where users can answer a questionnaire to select the most suitable service. If a user answers the following questionnaire, I would like to recommend the "Technology Premium Plan."

[0110] Example answer:

[0111] Areas of interest: Technology

[0112] Frequency of service use: Daily

[0113] Budget range: High

[0114] What algorithms and front-end technologies should we use?

[0115] The flow of the identification process in the first embodiment will be described with reference to FIG.

[0116] Step 1:

[0117] The user accesses and responds to the survey.

[0118] The user opens a web browser and accesses a survey page, which asks questions such as "areas of interest," "frequency of service use," and "budget range."

[0119] Input: User's survey response

[0120] Output: User response data

[0121] What happens: The user enters the answers "Interest: Technology", "Frequency: Daily", and "Budget: High".

[0122] Step 2:

[0123] The device sends the response data in JSON format to the server.

[0124] Once the user has completed their response, a program on the device converts the response data into JSON format and sends it to the server via the network.

[0125] Input: User response data

[0126] Output: JSON formatted response data

[0127] Specific operation: The device generates JSON data "{'Area of ​​interest':'Technology', 'Frequency of use':'Daily', 'Budget range':'High'}" and sends it to the server via an HTTP POST request.

[0128] Step 3:

[0129] The server stores and analyzes the received response data.

[0130] The server receives the JSON data via the network and stores it in a database, which then sends it to the analysis module.

[0131] Input: JSON formatted response data

[0132] Output: Information for data analysis

[0133] Specific operation: The server executes the SQL query "INSERT INTO responses (data) VALUES (JSON data)" and saves it in the database.

[0134] Step 4:

[0135] The server selects the optimal service based on the analysis results.

[0136] A predefined algorithm (for example, logic written in Python) analyzes the user's response data and selects the most suitable service.

[0137] Input: Saved response data

[0138] Output: Optimal service information

[0139] Specific operation: An algorithm on the server analyzes the response data and determines that the "Technology Premium Plan" is the best option.

[0140] Step 5:

[0141] The server returns the selected service information to the terminal in JSON format.

[0142] The selected service information is converted into JSON format and sent to the terminal.

[0143] Input: Best service information

[0144] Output: Service information in JSON format

[0145] Specific operation: The server generates JSON data "{'Recommended plan': 'Technology Premium Plan'}" and returns it to the terminal as an HTTP response.

[0146] Step 6:

[0147] The terminal visually displays the received data to the user.

[0148] The device interprets the JSON data received from the server and displays it visually to the user, using front-end technologies such as React.js and Vue.js.

[0149] Input: Service information in JSON format

[0150] Output: Visually displayed service information

[0151] Specific behavior: The device uses React.js and displays "Recommended plan: Technology Premium Plan" on the screen.

[0152] (Application example 1)

[0153] 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."

[0154] Conventional service provision systems based on user needs have difficulty efficiently and accurately reflecting diverse user needs, making it particularly difficult to provide a personalized shopping experience. This has led to problems such as reduced user satisfaction. Another issue is that it is difficult for users to find the right products and services from the vast number of options, resulting in poor shopping efficiency.

[0155] 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.

[0156] In this invention, the server includes means for providing a set of questions for the user to answer in a questionnaire, means for transmitting the user's answer data to the server, means for storing and analyzing the answer data received by the server, means for selecting an optimal service based on the stored and analyzed answer data, means for returning and displaying the selected service to the user terminal, means for recommending personalized products and services based on the user's answers, and means for visually displaying the recommended products and services received by the user terminal to the user, thereby making it possible to provide a personalized shopping experience based on the diverse needs of users.

[0157] A "survey" is a series of questions that users answer about their interests and needs.

[0158] "Response data" refers to the information entered by users in response to a survey, and is typically a collection of data stored in electronic form.

[0159] A "server" is a computer system that receives, stores, and analyzes data sent from user devices and selects the most appropriate services and products.

[0160] "Analysis" refers to the data processing that uses predefined algorithms to select the most suitable services and products using the received response data.

[0161] "Service" refers to the optimal plan, product, or support provided based on the user's answers.

[0162] A "user terminal" is an electronic device such as a mobile phone, smartphone, tablet, or computer used to enter responses to the survey and receive and display the selection results from the server.

[0163] "Recommendation" refers to the act of suggesting to users the most appropriate services or products selected through analysis.

[0164] "Personalization" is a concept that refers to customizing and providing optimal services and products based on each user's specific needs and interests.

[0165] "JSON format" is a lightweight data exchange format used for storing and transferring data, and is an abbreviation for JavaScript (registered trademark) Object Notation.

[0166] The present invention relates to a system that automatically selects and provides optimal services based on users' responses to a questionnaire. This system is composed of terminals, a server, and a network that realizes communication between them.

[0167] A user accesses the survey and answers each question using a device. Specific hardware could be a smartphone, tablet, or PC. Once the user has answered all the questions, the device sends the answer data in JSON format to the server. For example, the user can answer questions about "areas of interest," "frequency of use," and "budget range."

[0168] The server stores the JSON-formatted response data received from the device and analyzes it. During the analysis process, a predefined algorithm is used to select the optimal service based on the user's response data. For example, the Python programming language and libraries for data analysis (e.g., Pandas and Scikit-learn) can be used. If the user's "area of ​​interest" is "technology" and their "budget range" is "high," the server selects the "Technology Premium Plan."

[0169] Next, the server returns the selected optimal service in JSON format to the device. The device interprets the acquired service data and displays it visually to the user. This process can provide a user-friendly interface using HTML, JavaScript, etc., allowing users to easily obtain information about the optimal service for them.

[0170] As a specific example, if a user answers "area of ​​interest: technology," "frequency of service use: daily," and "budget range: high," the server will process as follows: First, the terminal sends the response data to the server. Next, the server analyzes the received data and determines that the "Technology Premium Plan" is the most suitable. After that, the server returns the selected service to the terminal. Finally, the terminal displays the "Technology Premium Plan" to the user.

[0171] The user answers the following survey:

[0172] 1. Product category of interest: Electronics

[0173] 2. Purchase frequency: Once a week

[0174] 3. Budget: High

[0175] Use these answers to offer the best products and services.

[0176] This system enables the provision of a personalized shopping experience based on the diverse needs of users, and also improves shopping efficiency and user satisfaction.

[0177] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[0178] Step 1:

[0179] The user responds to the survey.

[0180] Specific operations: The user uses a device (smartphone or PC) to access the questionnaire form and answer questions such as "areas of interest," "frequency of use," and "budget range."

[0181] Input: Survey response data entered by the user

[0182] Output: Survey response data temporarily saved on the device

[0183] Step 2:

[0184] The terminal transmits the questionnaire response data to the server.

[0185] Specific operation: The terminal converts the answer data entered by the user into JSON format and sends it to the server as an HTTP POST request.

[0186] Input: Survey response data saved on the device

[0187] Output: Survey response data in JSON format sent to the server

[0188] Step 3:

[0189] The server stores the received survey response data and analyzes it.

[0190] Specific operation: The server parses the received JSON data and stores it in a database. It then analyzes the data using an algorithm. For example, the algorithm can use Python and a data analysis library (Pandas, Scikit-learn).

[0191] Input: Survey response data in JSON format sent to the server

[0192] Output: Analysis result data (list of optimal services or products)

[0193] Step 4:

[0194] The server selects the most suitable service or product based on the analysis results.

[0195] Specific operation: Based on the analysis results, the server lists the products and services that best suit the user's needs. For example, if the user's interest area is technology and their budget range is high, the "Technology Premium Plan" will be selected.

[0196] Input: Analysis result data

[0197] Output: A list of selected optimal services or products (JSON format)

[0198] Step 5:

[0199] The server returns the selected service or product to the terminal.

[0200] Specific operation: The server encodes the selection result in JSON format and returns it to the terminal as an HTTP response.

[0201] Input: List of selected optimal services or products (JSON format)

[0202] Output: Selection results sent to the terminal (JSON format)

[0203] Step 6:

[0204] The terminal displays the received selection result to the user.

[0205] Specific operation: The device parses the JSON data received from the server and displays it in a visual format for the user using HTML and JavaScript.

[0206] Input: Selection results received from the server (JSON format)

[0207] Output: A list of the best services or products displayed on the user's screen

[0208] In this way, personalized product and service recommendations based on the user's various needs are automatically made, and user satisfaction is improved because information can be provided quickly and accurately.

[0209] 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.

[0210] The present invention relates to a system that automatically selects and provides optimal services based on a user's responses to a questionnaire, and also includes an emotion engine that recognizes the user's emotional state and selects and adjusts services based on that emotional state. This system is composed of a terminal, a server, and a network that enables communication between them.

[0211] In this embodiment of the system, a user accesses a survey using a terminal and answers a set of questions provided. The survey may include questions about "areas of interest," "frequency of use," and "budget range." After the user answers all the questions, the terminal transmits the answer data to the server in JSON format.

[0212] Furthermore, the device is equipped with an emotion engine that recognizes the user's emotional state. The emotion engine analyzes the user's voice data and facial expression data to recognize the user's emotional state in real time. This recognized emotional state is also sent to the server along with the response data.

[0213] The server stores the response data and emotional state data received from the device and analyzes them. During the analysis process, a predefined algorithm is used to select the optimal service based on the user's response data and emotional state. For example, if a user's "area of ​​interest" is "technology," their "budget range" is "high," and they are "stressed," the server will select a "technology premium plan" along with content that emphasizes relaxation.

[0214] The server then returns the selected optimal service in JSON format to the device, which then interprets the received service data and visually displays it to the user, allowing the user to easily obtain the service that best suits their situation and needs.

[0215] As a concrete example, let us consider a case where a user answers "Interest: Technology", "Service Usage: Daily", "Budget Range: High" and "I am under stress", and the emotion engine detects that the user is stressed. In this case, the server will process as follows:

[0216] 1. The terminal sends answer data and emotional state data to the server.

[0217] 2. The server analyzes the received data and selects to provide the "Technology Premium Plan" along with the "Stress Relief Content."

[0218] 3. The server returns the selected service to the terminal.

[0219] 4. The device displays the "Technology Premium Plan" and "Stress Reduction Content" to the user.

[0220] In this way, the optimal service is quickly and accurately selected and provided, taking into account the user's emotional state. This system is flexible and simple, and can meet the needs and situations of a variety of users. This embodiment can improve the user experience and effectively solve problems.

[0221] The processing flow will be explained below.

[0222] Step 1:

[0223] The user launches the survey app on their device and accesses the survey.

[0224] Step 2:

[0225] The device sends a GET request to the server's / get_questions endpoint.

[0226] Step 3:

[0227] The server receives a request via the / get_questions endpoint and returns a set of predefined questions in JSON format to the device.

[0228] Step 4:

[0229] The terminal displays the questions returned from the server to the user, such as questions about "areas of interest," "frequency of service use," and "budget range."

[0230] Step 5:

[0231] The user enters answers to each question at the terminal to complete the answer.

[0232] Step 6:

[0233] The emotion engine analyzes the user's voice and facial expression data in real time to recognize the user's emotional state. Specifically, it analyzes changes in voice tone and facial expressions to identify emotional states such as "stress," "joy," and "anxiety."

[0234] Step 7:

[0235] The device converts the recognized emotional state data along with the response data into JSON format and sends a POST request to the server's / submit_response endpoint.

[0236] Step 8:

[0237] The server receives the POST request via the / submit_response endpoint and stores the received response data and emotional state data in the customer_responses list.

[0238] Step 9:

[0239] The server returns a message in JSON format saying "Answer accepted."

[0240] Step 10:

[0241] The user performs an operation on the device to request the optimal service, specifically by clicking the "Recommend optimal service" button.

[0242] Step 11:

[0243] The device converts the pre-stored answer data and emotional state data into JSON format and sends a POST request to the server's / get_service endpoint.

[0244] Step 12:

[0245] The server receives a POST request at the / get_service endpoint and analyzes the received data, which includes responses about the user's areas of interest, frequency of use, budget range, and emotional state data.

[0246] Step 13:

[0247] The server selects the most suitable service for the user based on the analysis results. For example, if the user's area of ​​interest is "technology," their budget range is "high," and their emotional state is "stressed," the server selects a "technology premium plan" along with content that emphasizes relaxation.

[0248] Step 14:

[0249] The server returns the selected optimal service to the device in JSON format.

[0250] Step 15:

[0251] The device interprets the data received from the server and visually displays it to the user, so for example, the user might see "stress reduction content" along with a "technical premium plan."

[0252] In this way, by comprehensively analyzing the user's response data and emotional state, it is possible to efficiently select and provide the most suitable service.

[0253] Example 2

[0254] 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."

[0255] In conventional systems, services were generally provided without taking the user's emotional state into consideration. This made it difficult to provide services that were optimal for the user's actual mood and state. Furthermore, as user needs become more diverse, there is a demand for more personalized services. To solve this problem, a mechanism is needed to analyze data that includes the user's emotional state.

[0256] 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.

[0257] In this invention, the server includes means for providing a set of questions for the user to answer in a questionnaire, means for transmitting the user's answer data to the server, means for an emotion engine in the user terminal to recognize the user's emotional state and transmit that data to the server, means for saving and analyzing the answer data and emotional state data received by the server, means for selecting an optimal service based on the saved and analyzed answer data and emotional state data, and means for returning the selected service to the user terminal and displaying it, thereby making it possible to quickly and accurately select and provide a service optimal to the user's emotional state.

[0258] The "questionnaire questions" are a series of questions presented to the user to collect information such as areas of interest, frequency of service use, and budget range.

[0259] "User response data" refers to data resulting from a user's response to a questionnaire, and is information sent to the server in JSON format or the like.

[0260] An "emotion engine" is a function or system that analyzes a user's voice data and facial expression data to recognize their emotional state in real time.

[0261] "Emotional state data" is data relating to the emotional state of the user recognized by the emotion engine, and is, for example, information that quantifies stress levels, etc.

[0262] A "server" is a computer system on a network that receives, stores, and analyzes response data and emotional state data sent from terminals.

[0263] "Optimal service" refers to the service that best suits the user's condition and needs based on the response data and emotional state data.

[0264] "JSON format" is an abbreviation for JavaScript Object Notation, and is a lightweight data format for expressing data in a form that is easy for humans to read.

[0265] "Analysis" is the process of using algorithms to find features and trends based on the data received.

[0266] "Selection" is the process of determining the services to be provided based on the analysis results.

[0267] "Real-time" refers to the timing at which data is analyzed and processed the moment it is generated.

[0268] A "terminal" is a device (e.g., smartphone, tablet, or PC) that a user uses to respond to the survey and communicate with the server.

[0269] The present invention is a system that automatically selects and provides optimal services based on the user's responses to a questionnaire, and also includes a function that recognizes the user's emotional state and selects and adjusts services based on that data. This system is composed of terminals, a server, and a network that enables communication between them.

[0270] composition

[0271] Device:

[0272] This refers to the device used by the user, such as a smartphone, tablet, or PC. A dedicated application or web interface is installed on the device, allowing the user to access and enter answers to the survey. The device also has a built-in emotion engine that analyzes voice data and facial expression data in real time to recognize the user's emotional state.

[0273] server:

[0274] This is a computer system that receives, stores, and analyzes response data and emotional state data sent by users. A predefined algorithm is installed on the server, which analyzes the data and selects the most suitable service for the user. This service information is then sent back to the device.

[0275] network:

[0276] It enables data communication between terminals and servers via the Internet, making it possible to send and receive data in real time.

[0277] Operating procedure

[0278] The user accesses the survey using a device and answers the questions provided. The questions include categories such as "area of ​​interest," "frequency of use," and "budget range." For example, the user answers questions displayed on the smartphone screen with "area of ​​interest: technology" and "budget range: high." After answering all the questions in the survey, the data is converted into JSON format and sent to the server.

[0279] The device is equipped with an emotion engine that analyzes the user's voice and facial expression data. For example, the camera captures the user's facial expressions and the microphone records their voice. This data is analyzed in real time and quantified to represent the user's emotional state. This emotional state data is also sent to the server.

[0280] The server stores the received response data and emotional state data and analyzes them. For example, it stores this information in a database and uses an analysis algorithm to select the most suitable service. This process takes into consideration the user's areas of interest, budget range, and emotional state. The selected service information is sent to the device in JSON format.

[0281] The received service information is interpreted by the device and visually displayed to the user. For example, "Technology Premium Plan" and "Stress Relief Content" are displayed on the device screen. In this way, the user can easily obtain the service that best suits their condition and needs.

[0282] Specific examples

[0283] Let us consider a case where a user answers the survey questions with "area of ​​interest: technology," "frequency of service use: daily," "budget range: high," and "under stress," and the emotion engine detects the user's stress. In this case, the device sends the response data and emotional state data to the server, which analyzes the data. As a result of the analysis, a "Technology Premium Plan" and "Stress Relief Content" are selected. The server then sends the selected service information to the device, which then displays it to the user.

[0284] Prompt Sentence Examples

[0285] Here are some examples of prompts to input to the generative AI model:

[0286] If a user answers the questionnaire with "Interest: Technology," "Budget: High," and "Feeling stressed," and the emotion engine detects stress, generate a program for the system that selects and provides the optimal service. Explain each processing step in detail and include specific actions.

[0287] The flow of the identification process in the second embodiment will be described with reference to FIG.

[0288] Step 1:

[0289] The user answers the questionnaire on the device.

[0290] Users access a dedicated application on their device or a web interface and answer a series of survey questions, including "areas of interest," "frequency of use," and "budget range." Specifically, users select and enter options for each question.

[0291] Input: Questions about areas of interest, frequency of use, budget range, etc.

[0292] Output: User response data (e.g., "Interest area: Technology", "Frequency of use: Daily", "Budget range: High")

[0293] Step 2:

[0294] The terminal transmits the user's response data to the server.

[0295] After the user answers all the questions in the survey, the device converts the answer data into JSON format and sends it to the server. Specifically, when the user presses the send button, the data is sent to the server via the Internet.

[0296] Input: User response data

[0297] Output: JSON formatted response data sent to the server

[0298] Step 3:

[0299] The device's emotion engine recognizes the user's emotional state and transmits it to the server.

[0300] The device is equipped with an emotion engine that analyzes the user's voice and facial expression data in real time to recognize their emotional state. This recognized emotional state data is also sent to the server in JSON format. Specifically, the device captures facial expressions with a camera, records audio with a microphone, and analyzes the data.

[0301] Input: Voice data, facial expression data

[0302] Output: Emotional state data sent to the server (e.g., "Stress level: High")

[0303] Step 4:

[0304] The server stores and analyzes the received response data and emotional state data.

[0305] The server receives the response data and emotional state data sent from the device and stores them in a database. It then analyzes the data using a predefined algorithm. Specific operations include storing the data in the database and executing the algorithm.

[0306] Input: Answer data, emotional state data

[0307] Output: Analysis results (e.g., recommendations for "Technology Premium Plan" and "Stress Reduction Content")

[0308] Step 5:

[0309] The server selects the optimal service based on the analysis results.

[0310] Based on the analysis results, the server selects the most suitable service for the user. Information about the selected service is sent to the device in JSON format. Specifically, the server generates service information based on the results of the analysis algorithm.

[0311] Input: Analysis results

[0312] Output: JSON data of selected services (e.g., "Technology Premium Plan" and "Stress Reduction Content")

[0313] Step 6:

[0314] The server transmits the selected service information to the terminal.

[0315] The server returns the selected service information to the terminal, and as a specific operation, data is transmitted to the terminal via the Internet.

[0316] Input: JSON data of the selected service

[0317] Output: Service information sent to the device

[0318] Step 7:

[0319] The terminal interprets the received service information and visually displays it to the user.

[0320] The terminal interprets the received service information and visually displays it to the user. Specifically, detailed service information is displayed on the screen.

[0321] Input: Service information sent from the server

[0322] Output: Service information viewed by the user on the device (e.g., "Technology Premium Plan" and "Stress Reduction Content")

[0323] (Application example 2)

[0324] 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."

[0325] Modern content delivery services are required to provide optimal content tailored to each user's individual preferences and emotional state. However, conventional methods provide services based solely on static data such as survey results without taking the user's emotional state into account, often resulting in an inadequate user experience. In particular, they are unable to deliver content tailored to emotional states such as stress and relaxation.

[0326] 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.

[0327] In this invention, the server includes means for providing a set of questions for the user to answer in a questionnaire, means for transmitting the user's answer data to the server, means for using an emotion engine that analyzes the user's voice data and facial expression data to recognize the user's emotional state, means for selecting and adjusting services based on the recognized emotional state, and means for returning and displaying the selected services to the user terminal, thereby making it possible to provide optimal content that takes into account both the user's preferences and emotional state.

[0328] A "questionnaire" is a set of questions designed to understand the preferences and needs of individual users.

[0329] "Response data" refers to information obtained by users responding to a questionnaire, and includes information such as the user's areas of interest, frequency of use, and budget range.

[0330] A "server" is a computer system that receives, stores, and analyzes user response data and emotional state data.

[0331] The "emotion engine" is a system that analyzes the user's voice data and facial expression data to recognize the user's emotional state in real time.

[0332] The "recognized emotional state" is information indicating the type and state of the user's emotion, obtained as a result of analysis by the emotion engine.

[0333] "Selected services" are optimal services and content selected by the server based on the user's response data and perceived emotional state.

[0334] "User Device" means the device used by a User to answer the questionnaire and receive and display the selected Services.

[0335] "Optimal content" refers to the content or service that is most suitable for the user, selected by the server according to the user's field of interest and emotional state.

[0336] The present invention is a content distribution system that provides optimal content based on a user's preferences and emotional state. The system is composed of a user terminal, a server, and a network that enables communication between them. Specifically, the invention is implemented as follows.

[0337] The user terminal has a means for providing a set of questions for answering the questionnaire. The user answers the questionnaire using a terminal such as a smartphone or tablet. The questionnaire includes questions about the user's areas of interest, frequency of service use, budget range, etc., and the user answers these questions.

[0338] When a user answers a questionnaire, the user's device sends the response data to a server. The device also contains an emotion engine that collects the user's voice and facial expression data, analyzes them, and recognizes their emotional state. This engine uses OpenCV, for example, to analyze the user's emotional state in real time and also sends the recognized emotional state data to the server.

[0339] The server runs a program that stores and analyzes the received response data and emotional state data. During the analysis, a predefined algorithm is used to select optimal content based on the user's preferences and emotional state. This algorithm may include analysis using a generative AI model, for example.

[0340] As a result of the analysis, the server selects the most suitable content and returns it in JSON format to the user's device. The user's device interprets the received content and displays it visually to the user. For example, if a user answers a questionnaire saying that they are interested in "technology," use the service "daily," and are in a "high stress state," and the emotion engine also recognizes high stress, the server will select "premium content related to technology" as well as "relaxation content to reduce stress." As a result, these contents are displayed on the user's device.

[0341] Below are some examples of prompt sentences.

[0342] Survey Responses:

[0343] "What content do you like to watch when you want to relax?"

[0344] 1. Music

[0345] 2. Movies

[0346] 3. Reading

[0347] 4. Others

[0348] Emotional state recognition:

[0349] Take a photo of your face with your smartphone camera.

[0350] "We analyze your facial expressions to provide a relaxing environment."

[0351] In this way, it is possible to provide optimal content based on the user's preferences and emotional state.

[0352] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[0353] Step 1:

[0354] The user responds to the survey.

[0355] Users launch the app installed on their smartphone or tablet and answer the survey questions that are presented to them. Questions include "areas of interest," "frequency of service use," and "budget range." Input: user response data, Output: response data.

[0356] Step 2:

[0357] The response data is sent from the terminal to the server.

[0358] The user device sends the survey data answered by the user in JSON format to the server. Input: User's response data, Output: Response data sent to the server.

[0359] Step 3:

[0360] The device collects voice and facial expression data and analyzes the user's emotional state.

[0361] The user device collects the user's voice data and facial expression data using a camera and microphone. An emotion engine (e.g., OpenCV) is used to perform real-time emotion analysis. Input: voice data, facial expression data, output: emotional state data.

[0362] Step 4:

[0363] Emotional state data is transmitted from the terminal to a server.

[0364] The user device sends the analyzed emotional state data to the server in JSON format. Input: Emotional state data, Output: Emotional state data sent to the server.

[0365] Step 5:

[0366] A server stores and analyzes the response data and emotional state data.

[0367] The server stores the received response data and emotional state data and analyzes them using an algorithm (e.g., a generative AI model). Based on the analysis results, it selects the optimal content that takes into account the user's preferences and emotional state. Input: response data, emotional state data, output: optimal content.

[0368] Step 6:

[0369] The server returns the selected optimal content to the user terminal.

[0370] The server sends the selected optimal content to the user's terminal in JSON format. Input: optimal content, Output: content sent to the user's terminal.

[0371] Step 7:

[0372] The user terminal visually displays the received content.

[0373] The user terminal interprets the content data received from the server and displays it in the most suitable form for the user. For example, it displays "technical premium content" or "relaxation content" on the screen. Input: Received content, Output: Visually displayed content.

[0374] 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.

[0375] The data generation model 58 is a so-called generative AI (Artificial Intelligence). An example of the data generation model 58 is ChatGPT (registered trademark) (Internet search engine).<URL: https: / / openai.com / blog / chatgpt> ), Gemini (registered trademark) (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.

[0376] 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.

[0377] [Second embodiment]

[0378] FIG. 3 shows an example of the configuration of a data processing system 210 according to the second embodiment.

[0379] 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.

[0380] 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).

[0381] 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.

[0382] 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.

[0383] 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).

[0384] 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.

[0385] 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.

[0386] 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.

[0387] 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.

[0388] 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.

[0389] 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."

[0390] The present invention relates to a system that automatically selects and provides optimal services based on users' responses to a questionnaire. This system is composed of terminals, a server, and a network that realizes communication between them.

[0391] In an embodiment of this system, a user accesses a survey using a terminal and answers individual questions. After the user answers all the questions, the terminal transmits the answer data in JSON format to a server. As a specific example, a user may answer questions about "areas of interest," "frequency of use," and "budget range."

[0392] The server stores the JSON-formatted response data received from the device and analyzes it. During the analysis process, a predefined algorithm is used to select the optimal service based on the user's response data. For example, if the user's "area of ​​interest" is "technology" and their "budget range" is "high," the server will select the "Technology Premium Plan."

[0393] The server then returns the selected optimal service in JSON format to the device, which then interprets the service data and visually displays it to the user, allowing the user to easily obtain information about the optimal service for them.

[0394] As a concrete example, let's consider a case where the user answers "Interest: Technology", "Service Usage Frequency: Daily", and "Budget Range: High". In this case, the server will process as follows:

[0395] 1. The device sends the response data to the server.

[0396] 2. The server analyzes the received data and determines that the "Technology Premium Plan" is optimal.

[0397] 3. The server returns the selected service to the terminal.

[0398] 4. The device displays the "Technology Premium Plan" to the user.

[0399] In this way, it becomes possible to quickly and accurately select and provide the most suitable service, regardless of the user's skill or experience. This system is both flexible and simple, and can meet the needs of a wide variety of users.

[0400] This embodiment effectively solves the problems of the present invention and improves the user experience.

[0401] The processing flow will be explained below.

[0402] Step 1:

[0403] The user launches the survey app on their device and accesses the survey.

[0404] Step 2:

[0405] The device sends a GET request to the server's / get_questions endpoint.

[0406] Step 3:

[0407] The server receives a request via the / get_questions endpoint and returns a set of predefined questions in JSON format to the device.

[0408] Step 4:

[0409] The terminal displays the questions returned from the server to the user.

[0410] Step 5:

[0411] The user enters answers to each question at the terminal to complete the answer.

[0412] Step 6:

[0413] The device converts the user's response data into JSON format and sends a POST request to the server's / submit_response endpoint.

[0414] Step 7:

[0415] The server receives the POST request via the / submit_response endpoint and stores the received response data in the customer_responses list.

[0416] Step 8:

[0417] The server returns a message in JSON format saying "Answer accepted."

[0418] Step 9:

[0419] The user performs an operation on the terminal to request the optimal service.

[0420] Step 10:

[0421] The device converts the pre-stored response data into JSON format and sends a POST request to the server's / get_service endpoint.

[0422] Step 11:

[0423] The server receives a POST request via the / get_service endpoint and parses the received response data.

[0424] Step 12:

[0425] The server selects the most suitable service for the user based on the analysis results. For example, if the user's area of ​​interest is "technology" and the user's budget is "high," the server selects the "technology premium plan."

[0426] Step 13:

[0427] The server returns the selected optimal service to the device in JSON format.

[0428] Step 14:

[0429] The terminal interprets the data of the optimal service received from the server and visually displays it to the user.

[0430] Example 1

[0431] 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."

[0432] In modern society, a wide variety of services are available, making it difficult for users to select the service that best suits them. Manual selection is time-consuming, labor-intensive, and inefficient, as it relies on experience and knowledge. To address this issue, there is a need for a system that allows users to easily select and quickly use the service that best suits them.

[0433] 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.

[0434] In this invention, the server includes means for providing a plurality of questions for the user to answer in a questionnaire, means for converting the user's answer data into a data format and sending it to the server, means for storing the answer data received by the server in a database and analyzing it, means for selecting an optimal service for the user based on the saved and analyzed answer data using a predefined algorithm, and means for converting the selected service information into a data format and returning it to the user terminal for display. This makes it possible to efficiently and quickly select an optimal service without relying on the user's skills or experience.

[0435] "User" refers to a person who accesses the system, answers the questionnaire, and uses the service.

[0436] A "questionnaire" refers to a series of questions that users answer, and is a means of gathering information for service selection.

[0437] "Questions" refer to items presented to users in a questionnaire, and are intended to understand the user's interests and usage status.

[0438] "Answer data" refers to information entered by a user in response to a question.

[0439] "Data format" refers to the format (e.g., JSON format) used to send response data to the server.

[0440] "Server" refers to a computer system for storing and analyzing received data.

[0441] "Database" refers to a structured data storage system used by a server to store data.

[0442] "Analysis" refers to the process by which the server processes the received data using algorithms to extract meaningful information.

[0443] An "algorithm" refers to a series of steps or calculation methods used to analyze response data and select the most suitable service for a user.

[0444] "Services" refers to the features and plans that a User may select and use.

[0445] "Selecting" refers to the act of determining the most appropriate service based on analyzed data.

[0446] "Return" refers to the act of the server sending data back to the terminal.

[0447] "Displaying" refers to the act of allowing a user to visually confirm information on a terminal.

[0448] The present invention relates to a system that automatically selects and provides optimal services based on users' responses to a questionnaire. This system is mainly composed of users, terminals, a server, and a network that realizes communication between them.

[0449] The user accesses and answers the provided survey using a terminal. Specifically, the user accesses the survey page using a web browser (e.g., Google (registered trademark) Chrome or Mozilla Firefox). The survey includes questions such as "areas of interest," "frequency of service use," and "budget range," and the user answers these questions.

[0450] The device converts the user's response data into JSON format and sends it to the server over the network, typically using an HTTP POST request. The server then stores the received JSON-formatted response data in a database (for example, MySQL or MongoDB).

[0451] The server uses a predefined algorithm to analyze the stored data. The algorithm is implemented in a programming language such as Python and selects the most suitable service based on the user's response data. For example, if a user's area of ​​interest is "technology" and their budget range is "high," the server will determine that the "Technology Premium Plan" is the most suitable.

[0452] The server then converts the selected service information back into JSON format and sends it to the device, which then interprets the received JSON data and displays it visually to the user using front-end technologies such as React.js or Vue.js.

[0453] As a concrete example, let's consider a scenario where the user answers "Interest: Technology", "Service Usage: Daily", and "Budget Range: High". In this case, the server will do the following:

[0454] 1. The device converts the answer data (area of ​​interest: technology), (frequency of use: daily), and (budget range: high) into JSON format and sends it.

[0455] 2. The server receives the data and stores it in a database.

[0456] 3. The server analyzes the data and determines that the "Technology Premium Plan" is optimal.

[0457] 4. The server returns the selected service information to the device in JSON format.

[0458] 5. The data received by the device is displayed to the user using React.js.

[0459] In this way, users can efficiently and quickly select and use the most suitable service regardless of their own skills or experience.

[0460] Example prompt sentence:

[0461] I am thinking of a program for a system where users can answer a questionnaire to select the most suitable service. If a user answers the following questionnaire, I would like to recommend the "Technology Premium Plan."

[0462] Example answer:

[0463] Areas of interest: Technology

[0464] Frequency of service use: Daily

[0465] Budget range: High

[0466] What algorithms and front-end technologies should we use?

[0467] The flow of the identification process in the first embodiment will be described with reference to FIG.

[0468] Step 1:

[0469] The user accesses and responds to the survey.

[0470] The user opens a web browser and accesses a survey page, which asks questions such as "areas of interest," "frequency of service use," and "budget range."

[0471] Input: User's survey response

[0472] Output: User response data

[0473] What happens: The user enters the answers "Interest: Technology", "Frequency: Daily", and "Budget: High".

[0474] Step 2:

[0475] The device sends the response data in JSON format to the server.

[0476] Once the user has completed their response, a program on the device converts the response data into JSON format and sends it to the server via the network.

[0477] Input: User response data

[0478] Output: JSON formatted response data

[0479] Specific operation: The device generates JSON data "{'Area of ​​interest':'Technology', 'Frequency of use':'Daily', 'Budget range':'High'}" and sends it to the server via an HTTP POST request.

[0480] Step 3:

[0481] The server stores and analyzes the received response data.

[0482] The server receives the JSON data via the network and stores it in a database, which then sends it to the analysis module.

[0483] Input: JSON formatted response data

[0484] Output: Information for data analysis

[0485] Specific operation: The server executes the SQL query "INSERT INTO responses (data) VALUES (JSON data)" and saves it in the database.

[0486] Step 4:

[0487] The server selects the optimal service based on the analysis results.

[0488] A predefined algorithm (for example, logic written in Python) analyzes the user's response data and selects the most suitable service.

[0489] Input: Saved response data

[0490] Output: Optimal service information

[0491] Specific operation: An algorithm on the server analyzes the response data and determines that the "Technology Premium Plan" is the best option.

[0492] Step 5:

[0493] The server returns the selected service information to the terminal in JSON format.

[0494] The selected service information is converted into JSON format and sent to the terminal.

[0495] Input: Best service information

[0496] Output: Service information in JSON format

[0497] Specific operation: The server generates JSON data "{'Recommended plan': 'Technology Premium Plan'}" and returns it to the terminal as an HTTP response.

[0498] Step 6:

[0499] The terminal visually displays the received data to the user.

[0500] The device interprets the JSON data received from the server and displays it visually to the user, using front-end technologies such as React.js and Vue.js.

[0501] Input: Service information in JSON format

[0502] Output: Visually displayed service information

[0503] Specific behavior: The device uses React.js and displays "Recommended plan: Technology Premium Plan" on the screen.

[0504] (Application example 1)

[0505] 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."

[0506] Conventional service provision systems based on user needs have difficulty efficiently and accurately reflecting diverse user needs, making it particularly difficult to provide a personalized shopping experience. This has led to problems such as reduced user satisfaction. Another issue is that it is difficult for users to find the right products and services from the vast number of options, resulting in poor shopping efficiency.

[0507] 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.

[0508] In this invention, the server includes means for providing a set of questions for the user to answer in a questionnaire, means for transmitting the user's answer data to the server, means for storing and analyzing the answer data received by the server, means for selecting an optimal service based on the stored and analyzed answer data, means for returning and displaying the selected service to the user terminal, means for recommending personalized products and services based on the user's answers, and means for visually displaying the recommended products and services received by the user terminal to the user, thereby making it possible to provide a personalized shopping experience based on the diverse needs of users.

[0509] A "survey" is a series of questions that users answer about their interests and needs.

[0510] "Response data" refers to the information entered by users in response to a survey, and is typically a collection of data stored in electronic form.

[0511] A "server" is a computer system that receives, stores, and analyzes data sent from user devices and selects the most appropriate services and products.

[0512] "Analysis" refers to the data processing that uses predefined algorithms to select the most suitable services and products using the received response data.

[0513] "Service" refers to the optimal plan, product, or support provided based on the user's answers.

[0514] A "user terminal" is an electronic device such as a mobile phone, smartphone, tablet, or computer used to enter responses to the survey and receive and display the selection results from the server.

[0515] "Recommendation" refers to the act of suggesting to users the most appropriate services or products selected through analysis.

[0516] "Personalization" is a concept that refers to customizing and providing optimal services and products based on each user's specific needs and interests.

[0517] "JSON" is a lightweight data interchange format used for storing and transferring data, and is an abbreviation for JavaScript Object Notation.

[0518] The present invention relates to a system that automatically selects and provides optimal services based on users' responses to a questionnaire. This system is composed of terminals, a server, and a network that realizes communication between them.

[0519] A user accesses the survey and answers each question using a device. Specific hardware could be a smartphone, tablet, or PC. Once the user has answered all the questions, the device sends the answer data in JSON format to the server. For example, the user can answer questions about "areas of interest," "frequency of use," and "budget range."

[0520] The server stores the JSON-formatted response data received from the device and analyzes it. During the analysis process, a predefined algorithm is used to select the optimal service based on the user's response data. For example, the Python programming language and libraries for data analysis (e.g., Pandas and Scikit-learn) can be used. If the user's "area of ​​interest" is "technology" and their "budget range" is "high," the server selects the "Technology Premium Plan."

[0521] Next, the server returns the selected optimal service in JSON format to the device. The device interprets the acquired service data and displays it visually to the user. This process can provide a user-friendly interface using HTML, JavaScript, etc., allowing users to easily obtain information about the optimal service for them.

[0522] As a specific example, if a user answers "area of ​​interest: technology," "frequency of service use: daily," and "budget range: high," the server will process as follows: First, the terminal sends the response data to the server. Next, the server analyzes the received data and determines that the "Technology Premium Plan" is the most suitable. After that, the server returns the selected service to the terminal. Finally, the terminal displays the "Technology Premium Plan" to the user.

[0523] The user answers the following survey:

[0524] 1. Product category of interest: Electronics

[0525] 2. Purchase frequency: Once a week

[0526] 3. Budget: High

[0527] Use these answers to offer the best products and services.

[0528] This system enables the provision of a personalized shopping experience based on the diverse needs of users, and also improves shopping efficiency and user satisfaction.

[0529] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[0530] Step 1:

[0531] The user responds to the survey.

[0532] Specific operations: The user uses a device (smartphone or PC) to access the questionnaire form and answer questions such as "areas of interest," "frequency of use," and "budget range."

[0533] Input: Survey response data entered by the user

[0534] Output: Survey response data temporarily saved on the device

[0535] Step 2:

[0536] The terminal transmits the questionnaire response data to the server.

[0537] Specific operation: The terminal converts the answer data entered by the user into JSON format and sends it to the server as an HTTP POST request.

[0538] Input: Survey response data saved on the device

[0539] Output: Survey response data in JSON format sent to the server

[0540] Step 3:

[0541] The server stores the received survey response data and analyzes it.

[0542] Specific operation: The server parses the received JSON data and stores it in a database. It then analyzes the data using an algorithm. For example, the algorithm can use Python and a data analysis library (Pandas, Scikit-learn).

[0543] Input: Survey response data in JSON format sent to the server

[0544] Output: Analysis result data (list of optimal services or products)

[0545] Step 4:

[0546] The server selects the most suitable service or product based on the analysis results.

[0547] Specific operation: Based on the analysis results, the server lists the products and services that best suit the user's needs. For example, if the user's interest area is technology and their budget range is high, the "Technology Premium Plan" will be selected.

[0548] Input: Analysis result data

[0549] Output: A list of selected optimal services or products (JSON format)

[0550] Step 5:

[0551] The server returns the selected service or product to the terminal.

[0552] Specific operation: The server encodes the selection result in JSON format and returns it to the terminal as an HTTP response.

[0553] Input: List of selected optimal services or products (JSON format)

[0554] Output: Selection results sent to the terminal (JSON format)

[0555] Step 6:

[0556] The terminal displays the received selection result to the user.

[0557] Specific operation: The device parses the JSON data received from the server and displays it in a visual format for the user using HTML and JavaScript.

[0558] Input: Selection results received from the server (JSON format)

[0559] Output: A list of the best services or products displayed on the user's screen

[0560] In this way, personalized product and service recommendations based on the user's various needs are automatically made, and user satisfaction is improved because information can be provided quickly and accurately.

[0561] 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.

[0562] The present invention relates to a system that automatically selects and provides optimal services based on a user's responses to a questionnaire, and also includes an emotion engine that recognizes the user's emotional state and selects and adjusts services based on that emotional state. This system is composed of a terminal, a server, and a network that enables communication between them.

[0563] In this embodiment of the system, a user accesses a survey using a terminal and answers a set of questions provided. The survey may include questions about "areas of interest," "frequency of use," and "budget range." After the user answers all the questions, the terminal transmits the answer data to the server in JSON format.

[0564] Furthermore, the device is equipped with an emotion engine that recognizes the user's emotional state. The emotion engine analyzes the user's voice data and facial expression data to recognize the user's emotional state in real time. This recognized emotional state is also sent to the server along with the response data.

[0565] The server stores the response data and emotional state data received from the device and analyzes them. During the analysis process, a predefined algorithm is used to select the optimal service based on the user's response data and emotional state. For example, if a user's "area of ​​interest" is "technology," their "budget range" is "high," and they are "stressed," the server will select a "technology premium plan" along with content that emphasizes relaxation.

[0566] The server then returns the selected optimal service in JSON format to the device, which then interprets the received service data and visually displays it to the user, allowing the user to easily obtain the service that best suits their situation and needs.

[0567] As a concrete example, let us consider a case where a user answers "Interest: Technology", "Service Usage: Daily", "Budget Range: High" and "I am under stress", and the emotion engine detects that the user is stressed. In this case, the server will process as follows:

[0568] 1. The terminal sends answer data and emotional state data to the server.

[0569] 2. The server analyzes the received data and selects to provide the "Technology Premium Plan" along with the "Stress Relief Content."

[0570] 3. The server returns the selected service to the terminal.

[0571] 4. The device displays the "Technology Premium Plan" and "Stress Reduction Content" to the user.

[0572] In this way, the optimal service is quickly and accurately selected and provided, taking into account the user's emotional state. This system is flexible and simple, and can meet the needs and situations of a variety of users. This embodiment can improve the user experience and effectively solve problems.

[0573] The processing flow will be explained below.

[0574] Step 1:

[0575] The user launches the survey app on their device and accesses the survey.

[0576] Step 2:

[0577] The device sends a GET request to the server's / get_questions endpoint.

[0578] Step 3:

[0579] The server receives a request via the / get_questions endpoint and returns a set of predefined questions in JSON format to the device.

[0580] Step 4:

[0581] The terminal displays the questions returned from the server to the user, such as questions about "areas of interest," "frequency of service use," and "budget range."

[0582] Step 5:

[0583] The user enters answers to each question at the terminal to complete the answer.

[0584] Step 6:

[0585] The emotion engine analyzes the user's voice and facial expression data in real time to recognize the user's emotional state. Specifically, it analyzes changes in voice tone and facial expressions to identify emotional states such as "stress," "joy," and "anxiety."

[0586] Step 7:

[0587] The device converts the recognized emotional state data along with the response data into JSON format and sends a POST request to the server's / submit_response endpoint.

[0588] Step 8:

[0589] The server receives the POST request via the / submit_response endpoint and stores the received response data and emotional state data in the customer_responses list.

[0590] Step 9:

[0591] The server returns a message in JSON format saying "Answer accepted."

[0592] Step 10:

[0593] The user performs an operation on the device to request the optimal service, specifically by clicking the "Recommend optimal service" button.

[0594] Step 11:

[0595] The device converts the pre-stored answer data and emotional state data into JSON format and sends a POST request to the server's / get_service endpoint.

[0596] Step 12:

[0597] The server receives a POST request at the / get_service endpoint and analyzes the received data, which includes responses about the user's areas of interest, frequency of use, budget range, and emotional state data.

[0598] Step 13:

[0599] The server selects the most suitable service for the user based on the analysis results. For example, if the user's area of ​​interest is "technology," their budget range is "high," and their emotional state is "stressed," the server selects a "technology premium plan" along with content that emphasizes relaxation.

[0600] Step 14:

[0601] The server returns the selected optimal service to the device in JSON format.

[0602] Step 15:

[0603] The device interprets the data received from the server and visually displays it to the user, so for example, the user might see "stress reduction content" along with a "technical premium plan."

[0604] In this way, by comprehensively analyzing the user's response data and emotional state, it is possible to efficiently select and provide the most suitable service.

[0605] Example 2

[0606] 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."

[0607] In conventional systems, services were generally provided without taking the user's emotional state into consideration. This made it difficult to provide services that were optimal for the user's actual mood and state. Furthermore, as user needs become more diverse, there is a demand for more personalized services. To solve this problem, a mechanism is needed to analyze data that includes the user's emotional state.

[0608] 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.

[0609] In this invention, the server includes means for providing a set of questions for the user to answer in a questionnaire, means for transmitting the user's answer data to the server, means for an emotion engine in the user terminal to recognize the user's emotional state and transmit that data to the server, means for saving and analyzing the answer data and emotional state data received by the server, means for selecting an optimal service based on the saved and analyzed answer data and emotional state data, and means for returning the selected service to the user terminal and displaying it, thereby making it possible to quickly and accurately select and provide a service optimal to the user's emotional state.

[0610] The "questionnaire questions" are a series of questions presented to the user to collect information such as areas of interest, frequency of service use, and budget range.

[0611] "User response data" refers to data resulting from a user's response to a questionnaire, and is information sent to the server in JSON format or the like.

[0612] An "emotion engine" is a function or system that analyzes a user's voice data and facial expression data to recognize their emotional state in real time.

[0613] "Emotional state data" is data relating to the emotional state of the user recognized by the emotion engine, and is, for example, information that quantifies stress levels, etc.

[0614] A "server" is a computer system on a network that receives, stores, and analyzes response data and emotional state data sent from terminals.

[0615] "Optimal service" refers to the service that best suits the user's condition and needs based on the response data and emotional state data.

[0616] "JSON format" is an abbreviation for JavaScript Object Notation, and is a lightweight data format for expressing data in a form that is easy for humans to read.

[0617] "Analysis" is the process of using algorithms to find features and trends based on the data received.

[0618] "Selection" is the process of determining the services to be provided based on the analysis results.

[0619] "Real-time" refers to the timing at which data is analyzed and processed the moment it is generated.

[0620] A "terminal" is a device (e.g., smartphone, tablet, or PC) that a user uses to respond to the survey and communicate with the server.

[0621] The present invention is a system that automatically selects and provides optimal services based on the user's responses to a questionnaire, and also includes a function that recognizes the user's emotional state and selects and adjusts services based on that data. This system is composed of terminals, a server, and a network that enables communication between them.

[0622] composition

[0623] Device:

[0624] This refers to the device used by the user, such as a smartphone, tablet, or PC. A dedicated application or web interface is installed on the device, allowing the user to access and enter answers to the survey. The device also has a built-in emotion engine that analyzes voice data and facial expression data in real time to recognize the user's emotional state.

[0625] server:

[0626] This is a computer system that receives, stores, and analyzes response data and emotional state data sent by users. A predefined algorithm is installed on the server, which analyzes the data and selects the most suitable service for the user. This service information is then sent back to the device.

[0627] network:

[0628] It enables data communication between terminals and servers via the Internet, making it possible to send and receive data in real time.

[0629] Operating procedure

[0630] The user accesses the survey using a device and answers the questions provided. The questions include categories such as "area of ​​interest," "frequency of use," and "budget range." For example, the user answers questions displayed on the smartphone screen with "area of ​​interest: technology" and "budget range: high." After answering all the questions in the survey, the data is converted into JSON format and sent to the server.

[0631] The device is equipped with an emotion engine that analyzes the user's voice and facial expression data. For example, the camera captures the user's facial expressions and the microphone records their voice. This data is analyzed in real time and quantified to represent the user's emotional state. This emotional state data is also sent to the server.

[0632] The server stores the received response data and emotional state data and analyzes them. For example, it stores this information in a database and uses an analysis algorithm to select the most suitable service. This process takes into consideration the user's areas of interest, budget range, and emotional state. The selected service information is sent to the device in JSON format.

[0633] The received service information is interpreted by the device and visually displayed to the user. For example, "Technology Premium Plan" and "Stress Relief Content" are displayed on the device screen. In this way, the user can easily obtain the service that best suits their condition and needs.

[0634] Specific examples

[0635] Let us consider a case where a user answers the survey questions with "area of ​​interest: technology," "frequency of service use: daily," "budget range: high," and "under stress," and the emotion engine detects the user's stress. In this case, the device sends the response data and emotional state data to the server, which analyzes the data. As a result of the analysis, a "Technology Premium Plan" and "Stress Relief Content" are selected. The server then sends the selected service information to the device, which then displays it to the user.

[0636] Prompt Sentence Examples

[0637] Here are some examples of prompts to input to the generative AI model:

[0638] If a user answers the questionnaire with "Interest: Technology," "Budget: High," and "Feeling stressed," and the emotion engine detects stress, generate a program for the system that selects and provides the optimal service. Explain each processing step in detail and include specific actions.

[0639] The flow of the identification process in the second embodiment will be described with reference to FIG.

[0640] Step 1:

[0641] The user answers the questionnaire on the device.

[0642] Users access a dedicated application on their device or a web interface and answer a series of survey questions, including "areas of interest," "frequency of use," and "budget range." Specifically, users select and enter options for each question.

[0643] Input: Questions about areas of interest, frequency of use, budget range, etc.

[0644] Output: User response data (e.g., "Interest area: Technology", "Frequency of use: Daily", "Budget range: High")

[0645] Step 2:

[0646] The terminal transmits the user's response data to the server.

[0647] After the user answers all the questions in the survey, the device converts the answer data into JSON format and sends it to the server. Specifically, when the user presses the send button, the data is sent to the server via the Internet.

[0648] Input: User response data

[0649] Output: JSON formatted response data sent to the server

[0650] Step 3:

[0651] The device's emotion engine recognizes the user's emotional state and transmits it to the server.

[0652] The device is equipped with an emotion engine that analyzes the user's voice and facial expression data in real time to recognize their emotional state. This recognized emotional state data is also sent to the server in JSON format. Specifically, the device captures facial expressions with a camera, records audio with a microphone, and analyzes the data.

[0653] Input: Voice data, facial expression data

[0654] Output: Emotional state data sent to the server (e.g., "Stress level: High")

[0655] Step 4:

[0656] The server stores and analyzes the received response data and emotional state data.

[0657] The server receives the response data and emotional state data sent from the device and stores them in a database. It then analyzes the data using a predefined algorithm. Specific operations include storing the data in the database and executing the algorithm.

[0658] Input: Answer data, emotional state data

[0659] Output: Analysis results (e.g., recommendations for "Technology Premium Plan" and "Stress Reduction Content")

[0660] Step 5:

[0661] The server selects the optimal service based on the analysis results.

[0662] Based on the analysis results, the server selects the most suitable service for the user. Information about the selected service is sent to the device in JSON format. Specifically, the server generates service information based on the results of the analysis algorithm.

[0663] Input: Analysis results

[0664] Output: JSON data of selected services (e.g., "Technology Premium Plan" and "Stress Reduction Content")

[0665] Step 6:

[0666] The server transmits the selected service information to the terminal.

[0667] The server returns the selected service information to the terminal, and as a specific operation, data is transmitted to the terminal via the Internet.

[0668] Input: JSON data of the selected service

[0669] Output: Service information sent to the device

[0670] Step 7:

[0671] The terminal interprets the received service information and visually displays it to the user.

[0672] The terminal interprets the received service information and visually displays it to the user. Specifically, detailed service information is displayed on the screen.

[0673] Input: Service information sent from the server

[0674] Output: Service information viewed by the user on the device (e.g., "Technology Premium Plan" and "Stress Reduction Content")

[0675] (Application example 2)

[0676] 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."

[0677] Modern content delivery services are required to provide optimal content tailored to each user's individual preferences and emotional state. However, conventional methods provide services based solely on static data such as survey results without taking the user's emotional state into account, often resulting in an inadequate user experience. In particular, they are unable to deliver content tailored to emotional states such as stress and relaxation.

[0678] 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.

[0679] In this invention, the server includes means for providing a set of questions for the user to answer in a questionnaire, means for transmitting the user's answer data to the server, means for using an emotion engine that analyzes the user's voice data and facial expression data to recognize the user's emotional state, means for selecting and adjusting services based on the recognized emotional state, and means for returning and displaying the selected services to the user terminal, thereby making it possible to provide optimal content that takes into account both the user's preferences and emotional state.

[0680] A "questionnaire" is a set of questions designed to understand the preferences and needs of individual users.

[0681] "Response data" refers to information obtained by users responding to a questionnaire, and includes information such as the user's areas of interest, frequency of use, and budget range.

[0682] A "server" is a computer system that receives, stores, and analyzes user response data and emotional state data.

[0683] The "emotion engine" is a system that analyzes the user's voice data and facial expression data to recognize the user's emotional state in real time.

[0684] The "recognized emotional state" is information indicating the type and state of the user's emotion, obtained as a result of analysis by the emotion engine.

[0685] "Selected services" are optimal services and content selected by the server based on the user's response data and perceived emotional state.

[0686] "User Device" means the device used by a User to answer the questionnaire and receive and display the selected Services.

[0687] "Optimal content" refers to the content or service that is most suitable for the user, selected by the server according to the user's field of interest and emotional state.

[0688] The present invention is a content distribution system that provides optimal content based on a user's preferences and emotional state. The system is composed of a user terminal, a server, and a network that enables communication between them. Specifically, the invention is implemented as follows.

[0689] The user terminal has a means for providing a set of questions for answering the questionnaire. The user answers the questionnaire using a terminal such as a smartphone or tablet. The questionnaire includes questions about the user's areas of interest, frequency of service use, budget range, etc., and the user answers these questions.

[0690] When a user answers a questionnaire, the user's device sends the response data to a server. The device also contains an emotion engine that collects the user's voice and facial expression data, analyzes them, and recognizes their emotional state. This engine uses OpenCV, for example, to analyze the user's emotional state in real time and also sends the recognized emotional state data to the server.

[0691] The server runs a program that stores and analyzes the received response data and emotional state data. During the analysis, a predefined algorithm is used to select optimal content based on the user's preferences and emotional state. This algorithm may include analysis using a generative AI model, for example.

[0692] As a result of the analysis, the server selects the most suitable content and returns it in JSON format to the user's device. The user's device interprets the received content and displays it visually to the user. For example, if a user answers a questionnaire saying that they are interested in "technology," use the service "daily," and are in a "high stress state," and the emotion engine also recognizes high stress, the server will select "premium content related to technology" as well as "relaxation content to reduce stress." As a result, these contents are displayed on the user's device.

[0693] Below are some examples of prompt sentences.

[0694] Survey Responses:

[0695] "What content do you like to watch when you want to relax?"

[0696] 1. Music

[0697] 2. Movies

[0698] 3. Reading

[0699] 4. Others

[0700] Emotional state recognition:

[0701] Take a photo of your face with your smartphone camera.

[0702] "We analyze your facial expressions to provide a relaxing environment."

[0703] In this way, it is possible to provide optimal content based on the user's preferences and emotional state.

[0704] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[0705] Step 1:

[0706] The user responds to the survey.

[0707] Users launch the app installed on their smartphone or tablet and answer the survey questions that are presented to them. Questions include "areas of interest," "frequency of service use," and "budget range." Input: user response data, Output: response data.

[0708] Step 2:

[0709] The response data is sent from the terminal to the server.

[0710] The user device sends the survey data answered by the user in JSON format to the server. Input: User's response data, Output: Response data sent to the server.

[0711] Step 3:

[0712] The device collects voice and facial expression data and analyzes the user's emotional state.

[0713] The user device collects the user's voice data and facial expression data using a camera and microphone. An emotion engine (e.g., OpenCV) is used to perform real-time emotion analysis. Input: voice data, facial expression data, output: emotional state data.

[0714] Step 4:

[0715] Emotional state data is transmitted from the terminal to a server.

[0716] The user device sends the analyzed emotional state data to the server in JSON format. Input: Emotional state data, Output: Emotional state data sent to the server.

[0717] Step 5:

[0718] A server stores and analyzes the response data and emotional state data.

[0719] The server stores the received response data and emotional state data and analyzes them using an algorithm (e.g., a generative AI model). Based on the analysis results, it selects the optimal content that takes into account the user's preferences and emotional state. Input: response data, emotional state data, output: optimal content.

[0720] Step 6:

[0721] The server returns the selected optimal content to the user terminal.

[0722] The server sends the selected optimal content to the user's terminal in JSON format. Input: optimal content, Output: content sent to the user's terminal.

[0723] Step 7:

[0724] The user terminal visually displays the received content.

[0725] The user terminal interprets the content data received from the server and displays it in the most suitable form for the user. For example, it displays "technical premium content" or "relaxation content" on the screen. Input: Received content, Output: Visually displayed content.

[0726] 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.

[0727] 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.

[0728] 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.

[0729] [Third embodiment]

[0730] FIG. 5 shows an example of the configuration of a data processing system 310 according to the third embodiment.

[0731] 5, the data processing system 310 includes the data processing device 12 and a headset terminal 314. An example of the data processing device 12 is a server.

[0732] 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).

[0733] 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.

[0734] 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.

[0735] 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).

[0736] 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.

[0737] 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.

[0738] 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.

[0739] 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.

[0740] 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.

[0741] 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."

[0742] The present invention relates to a system that automatically selects and provides optimal services based on users' responses to a questionnaire. This system is composed of terminals, a server, and a network that realizes communication between them.

[0743] In an embodiment of this system, a user accesses a survey using a terminal and answers individual questions. After the user answers all the questions, the terminal transmits the answer data in JSON format to a server. As a specific example, a user may answer questions about "areas of interest," "frequency of use," and "budget range."

[0744] The server stores the JSON-formatted response data received from the device and analyzes it. During the analysis process, a predefined algorithm is used to select the optimal service based on the user's response data. For example, if the user's "area of ​​interest" is "technology" and their "budget range" is "high," the server will select the "Technology Premium Plan."

[0745] The server then returns the selected optimal service in JSON format to the device, which then interprets the service data and visually displays it to the user, allowing the user to easily obtain information about the optimal service for them.

[0746] As a concrete example, let's consider a case where the user answers "Interest: Technology", "Service Usage Frequency: Daily", and "Budget Range: High". In this case, the server will process as follows:

[0747] 1. The device sends the response data to the server.

[0748] 2. The server analyzes the received data and determines that the "Technology Premium Plan" is optimal.

[0749] 3. The server returns the selected service to the terminal.

[0750] 4. The device displays the "Technology Premium Plan" to the user.

[0751] In this way, it becomes possible to quickly and accurately select and provide the most suitable service, regardless of the user's skill or experience. This system is both flexible and simple, and can meet the needs of a wide variety of users.

[0752] This embodiment effectively solves the problems of the present invention and improves the user experience.

[0753] The processing flow will be explained below.

[0754] Step 1:

[0755] The user launches the survey app on their device and accesses the survey.

[0756] Step 2:

[0757] The device sends a GET request to the server's / get_questions endpoint.

[0758] Step 3:

[0759] The server receives a request via the / get_questions endpoint and returns a set of predefined questions in JSON format to the device.

[0760] Step 4:

[0761] The terminal displays the questions returned from the server to the user.

[0762] Step 5:

[0763] The user enters answers to each question at the terminal to complete the answer.

[0764] Step 6:

[0765] The device converts the user's response data into JSON format and sends a POST request to the server's / submit_response endpoint.

[0766] Step 7:

[0767] The server receives the POST request via the / submit_response endpoint and stores the received response data in the customer_responses list.

[0768] Step 8:

[0769] The server returns a message in JSON format saying "Answer accepted."

[0770] Step 9:

[0771] The user performs an operation on the terminal to request the optimal service.

[0772] Step 10:

[0773] The device converts the pre-stored response data into JSON format and sends a POST request to the server's / get_service endpoint.

[0774] Step 11:

[0775] The server receives a POST request via the / get_service endpoint and parses the received response data.

[0776] Step 12:

[0777] The server selects the most suitable service for the user based on the analysis results. For example, if the user's area of ​​interest is "technology" and the user's budget is "high," the server selects the "technology premium plan."

[0778] Step 13:

[0779] The server returns the selected optimal service to the device in JSON format.

[0780] Step 14:

[0781] The terminal interprets the data of the optimal service received from the server and visually displays it to the user.

[0782] Example 1

[0783] 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."

[0784] In modern society, a wide variety of services are available, making it difficult for users to select the service that best suits them. Manual selection is time-consuming, labor-intensive, and inefficient, as it relies on experience and knowledge. To address this issue, there is a need for a system that allows users to easily select and quickly use the service that best suits them.

[0785] 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.

[0786] In this invention, the server includes means for providing a plurality of questions for the user to answer in a questionnaire, means for converting the user's answer data into a data format and sending it to the server, means for storing the answer data received by the server in a database and analyzing it, means for selecting an optimal service for the user based on the saved and analyzed answer data using a predefined algorithm, and means for converting the selected service information into a data format and returning it to the user terminal for display. This makes it possible to efficiently and quickly select an optimal service without relying on the user's skills or experience.

[0787] "User" refers to a person who accesses the system, answers the questionnaire, and uses the service.

[0788] A "questionnaire" refers to a series of questions that users answer, and is a means of gathering information for service selection.

[0789] "Questions" refer to items presented to users in a questionnaire, and are intended to understand the user's interests and usage status.

[0790] "Answer data" refers to information entered by a user in response to a question.

[0791] "Data format" refers to the format (e.g., JSON format) used to send response data to the server.

[0792] "Server" refers to a computer system for storing and analyzing received data.

[0793] "Database" refers to a structured data storage system used by a server to store data.

[0794] "Analysis" refers to the process by which the server processes the received data using algorithms to extract meaningful information.

[0795] An "algorithm" refers to a series of steps or calculation methods used to analyze response data and select the most suitable service for a user.

[0796] "Services" refers to the features and plans that a User may select and use.

[0797] "Selecting" refers to the act of determining the most appropriate service based on analyzed data.

[0798] "Return" refers to the act of the server sending data back to the terminal.

[0799] "Displaying" refers to the act of allowing a user to visually confirm information on a terminal.

[0800] The present invention relates to a system that automatically selects and provides optimal services based on users' responses to a questionnaire. This system is mainly composed of users, terminals, a server, and a network that realizes communication between them.

[0801] The user accesses and answers the provided survey using a device. Specifically, the user accesses the survey page using a web browser (e.g., Google Chrome or Mozilla Firefox). The survey includes questions such as "areas of interest," "frequency of service use," and "budget range," and the user answers these questions.

[0802] The device converts the user's response data into JSON format and sends it to the server over the network, typically using an HTTP POST request. The server then stores the received JSON-formatted response data in a database (for example, MySQL or MongoDB).

[0803] The server uses a predefined algorithm to analyze the stored data. The algorithm is implemented in a programming language such as Python and selects the most suitable service based on the user's response data. For example, if a user's area of ​​interest is "technology" and their budget range is "high," the server will determine that the "Technology Premium Plan" is the most suitable.

[0804] The server then converts the selected service information back into JSON format and sends it to the device, which then interprets the received JSON data and displays it visually to the user using front-end technologies such as React.js or Vue.js.

[0805] As a concrete example, let's consider a scenario where the user answers "Interest: Technology", "Service Usage: Daily", and "Budget Range: High". In this case, the server will do the following:

[0806] 1. The device converts the answer data (area of ​​interest: technology), (frequency of use: daily), and (budget range: high) into JSON format and sends it.

[0807] 2. The server receives the data and stores it in a database.

[0808] 3. The server analyzes the data and determines that the "Technology Premium Plan" is optimal.

[0809] 4. The server returns the selected service information to the device in JSON format.

[0810] 5. The data received by the device is displayed to the user using React.js.

[0811] In this way, users can efficiently and quickly select and use the most suitable service regardless of their own skills or experience.

[0812] Example prompt sentence:

[0813] I am thinking of a program for a system where users can answer a questionnaire to select the most suitable service. If a user answers the following questionnaire, I would like to recommend the "Technology Premium Plan."

[0814] Example answer:

[0815] Areas of interest: Technology

[0816] Frequency of service use: Daily

[0817] Budget range: High

[0818] What algorithms and front-end technologies should we use?

[0819] The flow of the identification process in the first embodiment will be described with reference to FIG.

[0820] Step 1:

[0821] The user accesses and responds to the survey.

[0822] The user opens a web browser and accesses a survey page, which asks questions such as "areas of interest," "frequency of service use," and "budget range."

[0823] Input: User's survey response

[0824] Output: User response data

[0825] What happens: The user enters the answers "Interest: Technology", "Frequency: Daily", and "Budget: High".

[0826] Step 2:

[0827] The device sends the response data in JSON format to the server.

[0828] Once the user has completed their response, a program on the device converts the response data into JSON format and sends it to the server via the network.

[0829] Input: User response data

[0830] Output: JSON formatted response data

[0831] Specific operation: The device generates JSON data "{'Area of ​​interest':'Technology', 'Frequency of use':'Daily', 'Budget range':'High'}" and sends it to the server via an HTTP POST request.

[0832] Step 3:

[0833] The server stores and analyzes the received response data.

[0834] The server receives the JSON data via the network and stores it in a database, which then sends it to the analysis module.

[0835] Input: JSON formatted response data

[0836] Output: Information for data analysis

[0837] Specific operation: The server executes the SQL query "INSERT INTO responses (data) VALUES (JSON data)" and saves it in the database.

[0838] Step 4:

[0839] The server selects the optimal service based on the analysis results.

[0840] A predefined algorithm (for example, logic written in Python) analyzes the user's response data and selects the most suitable service.

[0841] Input: Saved response data

[0842] Output: Optimal service information

[0843] Specific operation: An algorithm on the server analyzes the response data and determines that the "Technology Premium Plan" is the best option.

[0844] Step 5:

[0845] The server returns the selected service information to the terminal in JSON format.

[0846] The selected service information is converted into JSON format and sent to the terminal.

[0847] Input: Best service information

[0848] Output: Service information in JSON format

[0849] Specific operation: The server generates JSON data "{'Recommended plan': 'Technology Premium Plan'}" and returns it to the terminal as an HTTP response.

[0850] Step 6:

[0851] The terminal visually displays the received data to the user.

[0852] The device interprets the JSON data received from the server and displays it visually to the user, using front-end technologies such as React.js and Vue.js.

[0853] Input: Service information in JSON format

[0854] Output: Visually displayed service information

[0855] Specific behavior: The device uses React.js and displays "Recommended plan: Technology Premium Plan" on the screen.

[0856] (Application example 1)

[0857] 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."

[0858] Conventional service provision systems based on user needs have difficulty efficiently and accurately reflecting diverse user needs, making it particularly difficult to provide a personalized shopping experience. This has led to problems such as reduced user satisfaction. Another issue is that it is difficult for users to find the right products and services from the vast number of options, resulting in poor shopping efficiency.

[0859] 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.

[0860] In this invention, the server includes means for providing a set of questions for the user to answer in a questionnaire, means for transmitting the user's answer data to the server, means for storing and analyzing the answer data received by the server, means for selecting an optimal service based on the stored and analyzed answer data, means for returning and displaying the selected service to the user terminal, means for recommending personalized products and services based on the user's answers, and means for visually displaying the recommended products and services received by the user terminal to the user, thereby making it possible to provide a personalized shopping experience based on the diverse needs of users.

[0861] A "survey" is a series of questions that users answer about their interests and needs.

[0862] "Response data" refers to the information entered by users in response to a survey, and is typically a collection of data stored in electronic form.

[0863] A "server" is a computer system that receives, stores, and analyzes data sent from user devices and selects the most appropriate services and products.

[0864] "Analysis" refers to the data processing that uses predefined algorithms to select the most suitable services and products using the received response data.

[0865] "Service" refers to the optimal plan, product, or support provided based on the user's answers.

[0866] A "user terminal" is an electronic device such as a mobile phone, smartphone, tablet, or computer used to enter responses to the survey and receive and display the selection results from the server.

[0867] "Recommendation" refers to the act of suggesting to users the most appropriate services or products selected through analysis.

[0868] "Personalization" is a concept that refers to customizing and providing optimal services and products based on each user's specific needs and interests.

[0869] "JSON" is a lightweight data interchange format used for storing and transferring data, and is an abbreviation for JavaScript Object Notation.

[0870] The present invention relates to a system that automatically selects and provides optimal services based on users' responses to a questionnaire. This system is composed of terminals, a server, and a network that realizes communication between them.

[0871] A user accesses the survey and answers each question using a device. Specific hardware could be a smartphone, tablet, or PC. Once the user has answered all the questions, the device sends the answer data in JSON format to the server. For example, the user can answer questions about "areas of interest," "frequency of use," and "budget range."

[0872] The server stores the JSON-formatted response data received from the device and analyzes it. During the analysis process, a predefined algorithm is used to select the optimal service based on the user's response data. For example, the Python programming language and libraries for data analysis (e.g., Pandas and Scikit-learn) can be used. If the user's "area of ​​interest" is "technology" and their "budget range" is "high," the server selects the "Technology Premium Plan."

[0873] Next, the server returns the selected optimal service in JSON format to the device. The device interprets the acquired service data and displays it visually to the user. This process can provide a user-friendly interface using HTML, JavaScript, etc., allowing users to easily obtain information about the optimal service for them.

[0874] As a specific example, if a user answers "area of ​​interest: technology," "frequency of service use: daily," and "budget range: high," the server will process as follows: First, the terminal sends the response data to the server. Next, the server analyzes the received data and determines that the "Technology Premium Plan" is the most suitable. After that, the server returns the selected service to the terminal. Finally, the terminal displays the "Technology Premium Plan" to the user.

[0875] The user answers the following survey:

[0876] 1. Product category of interest: Electronics

[0877] 2. Purchase frequency: Once a week

[0878] 3. Budget: High

[0879] Use these answers to offer the best products and services.

[0880] This system enables the provision of a personalized shopping experience based on the diverse needs of users, and also improves shopping efficiency and user satisfaction.

[0881] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[0882] Step 1:

[0883] The user responds to the survey.

[0884] Specific operations: The user uses a device (smartphone or PC) to access the questionnaire form and answer questions such as "areas of interest," "frequency of use," and "budget range."

[0885] Input: Survey response data entered by the user

[0886] Output: Survey response data temporarily saved on the device

[0887] Step 2:

[0888] The terminal transmits the questionnaire response data to the server.

[0889] Specific operation: The terminal converts the answer data entered by the user into JSON format and sends it to the server as an HTTP POST request.

[0890] Input: Survey response data saved on the device

[0891] Output: Survey response data in JSON format sent to the server

[0892] Step 3:

[0893] The server stores the received survey response data and analyzes it.

[0894] Specific operation: The server parses the received JSON data and stores it in a database. It then analyzes the data using an algorithm. For example, the algorithm can use Python and a data analysis library (Pandas, Scikit-learn).

[0895] Input: Survey response data in JSON format sent to the server

[0896] Output: Analysis result data (list of optimal services or products)

[0897] Step 4:

[0898] The server selects the most suitable service or product based on the analysis results.

[0899] Specific operation: Based on the analysis results, the server lists the products and services that best suit the user's needs. For example, if the user's interest area is technology and their budget range is high, the "Technology Premium Plan" will be selected.

[0900] Input: Analysis result data

[0901] Output: A list of selected optimal services or products (JSON format)

[0902] Step 5:

[0903] The server returns the selected service or product to the terminal.

[0904] Specific operation: The server encodes the selection result in JSON format and returns it to the terminal as an HTTP response.

[0905] Input: List of selected optimal services or products (JSON format)

[0906] Output: Selection results sent to the terminal (JSON format)

[0907] Step 6:

[0908] The terminal displays the received selection result to the user.

[0909] Specific operation: The device parses the JSON data received from the server and displays it in a visual format for the user using HTML and JavaScript.

[0910] Input: Selection results received from the server (JSON format)

[0911] Output: A list of the best services or products displayed on the user's screen

[0912] In this way, personalized product and service recommendations based on the user's various needs are automatically made, and user satisfaction is improved because information can be provided quickly and accurately.

[0913] 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.

[0914] The present invention relates to a system that automatically selects and provides optimal services based on a user's responses to a questionnaire, and also includes an emotion engine that recognizes the user's emotional state and selects and adjusts services based on that emotional state. This system is composed of a terminal, a server, and a network that enables communication between them.

[0915] In this embodiment of the system, a user accesses a survey using a terminal and answers a set of questions provided. The survey may include questions about "areas of interest," "frequency of use," and "budget range." After the user answers all the questions, the terminal transmits the answer data to the server in JSON format.

[0916] Furthermore, the device is equipped with an emotion engine that recognizes the user's emotional state. The emotion engine analyzes the user's voice data and facial expression data to recognize the user's emotional state in real time. This recognized emotional state is also sent to the server along with the response data.

[0917] The server stores the response data and emotional state data received from the device and analyzes them. During the analysis process, a predefined algorithm is used to select the optimal service based on the user's response data and emotional state. For example, if a user's "area of ​​interest" is "technology," their "budget range" is "high," and they are "stressed," the server will select a "technology premium plan" along with content that emphasizes relaxation.

[0918] The server then returns the selected optimal service in JSON format to the device, which then interprets the received service data and visually displays it to the user, allowing the user to easily obtain the service that best suits their situation and needs.

[0919] As a concrete example, let us consider a case where a user answers "Interest: Technology", "Service Usage: Daily", "Budget Range: High" and "I am under stress", and the emotion engine detects that the user is stressed. In this case, the server will process as follows:

[0920] 1. The terminal sends answer data and emotional state data to the server.

[0921] 2. The server analyzes the received data and selects to provide the "Technology Premium Plan" along with the "Stress Relief Content."

[0922] 3. The server returns the selected service to the terminal.

[0923] 4. The device displays the "Technology Premium Plan" and "Stress Reduction Content" to the user.

[0924] In this way, the optimal service is quickly and accurately selected and provided, taking into account the user's emotional state. This system is flexible and simple, and can meet the needs and situations of a variety of users. This embodiment can improve the user experience and effectively solve problems.

[0925] The processing flow will be explained below.

[0926] Step 1:

[0927] The user launches the survey app on their device and accesses the survey.

[0928] Step 2:

[0929] The device sends a GET request to the server's / get_questions endpoint.

[0930] Step 3:

[0931] The server receives a request via the / get_questions endpoint and returns a set of predefined questions in JSON format to the device.

[0932] Step 4:

[0933] The terminal displays the questions returned from the server to the user, such as questions about "areas of interest," "frequency of service use," and "budget range."

[0934] Step 5:

[0935] The user enters answers to each question at the terminal to complete the answer.

[0936] Step 6:

[0937] The emotion engine analyzes the user's voice and facial expression data in real time to recognize the user's emotional state. Specifically, it analyzes changes in voice tone and facial expressions to identify emotional states such as "stress," "joy," and "anxiety."

[0938] Step 7:

[0939] The device converts the recognized emotional state data along with the response data into JSON format and sends a POST request to the server's / submit_response endpoint.

[0940] Step 8:

[0941] The server receives the POST request via the / submit_response endpoint and stores the received response data and emotional state data in the customer_responses list.

[0942] Step 9:

[0943] The server returns a message in JSON format saying "Answer accepted."

[0944] Step 10:

[0945] The user performs an operation on the device to request the optimal service, specifically by clicking the "Recommend optimal service" button.

[0946] Step 11:

[0947] The device converts the pre-stored answer data and emotional state data into JSON format and sends a POST request to the server's / get_service endpoint.

[0948] Step 12:

[0949] The server receives a POST request at the / get_service endpoint and analyzes the received data, which includes responses about the user's areas of interest, frequency of use, budget range, and emotional state data.

[0950] Step 13:

[0951] The server selects the most suitable service for the user based on the analysis results. For example, if the user's area of ​​interest is "technology," their budget range is "high," and their emotional state is "stressed," the server selects a "technology premium plan" along with content that emphasizes relaxation.

[0952] Step 14:

[0953] The server returns the selected optimal service to the device in JSON format.

[0954] Step 15:

[0955] The device interprets the data received from the server and visually displays it to the user, so for example, the user might see "stress reduction content" along with a "technical premium plan."

[0956] In this way, by comprehensively analyzing the user's response data and emotional state, it is possible to efficiently select and provide the most suitable service.

[0957] Example 2

[0958] 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."

[0959] In conventional systems, services were generally provided without taking the user's emotional state into consideration. This made it difficult to provide services that were optimal for the user's actual mood and state. Furthermore, as user needs become more diverse, there is a demand for more personalized services. To solve this problem, a mechanism is needed to analyze data that includes the user's emotional state.

[0960] 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.

[0961] In this invention, the server includes means for providing a set of questions for the user to answer in a questionnaire, means for transmitting the user's answer data to the server, means for an emotion engine in the user terminal to recognize the user's emotional state and transmit that data to the server, means for saving and analyzing the answer data and emotional state data received by the server, means for selecting an optimal service based on the saved and analyzed answer data and emotional state data, and means for returning the selected service to the user terminal and displaying it, thereby making it possible to quickly and accurately select and provide a service optimal to the user's emotional state.

[0962] The "questionnaire questions" are a series of questions presented to the user to collect information such as areas of interest, frequency of service use, and budget range.

[0963] "User response data" refers to data resulting from a user's response to a questionnaire, and is information sent to the server in JSON format or the like.

[0964] An "emotion engine" is a function or system that analyzes a user's voice data and facial expression data to recognize their emotional state in real time.

[0965] "Emotional state data" is data relating to the emotional state of the user recognized by the emotion engine, and is, for example, information that quantifies stress levels, etc.

[0966] A "server" is a computer system on a network that receives, stores, and analyzes response data and emotional state data sent from terminals.

[0967] "Optimal service" refers to the service that best suits the user's condition and needs based on the response data and emotional state data.

[0968] "JSON format" is an abbreviation for JavaScript Object Notation, and is a lightweight data format for expressing data in a form that is easy for humans to read.

[0969] "Analysis" is the process of using algorithms to find features and trends based on the data received.

[0970] "Selection" is the process of determining the services to be provided based on the analysis results.

[0971] "Real-time" refers to the timing at which data is analyzed and processed the moment it is generated.

[0972] A "terminal" is a device (e.g., smartphone, tablet, or PC) that a user uses to respond to the survey and communicate with the server.

[0973] The present invention is a system that automatically selects and provides optimal services based on the user's responses to a questionnaire, and also includes a function that recognizes the user's emotional state and selects and adjusts services based on that data. This system is composed of terminals, a server, and a network that enables communication between them.

[0974] composition

[0975] Device:

[0976] This refers to the device used by the user, such as a smartphone, tablet, or PC. A dedicated application or web interface is installed on the device, allowing the user to access and enter answers to the survey. The device also has a built-in emotion engine that analyzes voice data and facial expression data in real time to recognize the user's emotional state.

[0977] server:

[0978] This is a computer system that receives, stores, and analyzes response data and emotional state data sent by users. A predefined algorithm is installed on the server, which analyzes the data and selects the most suitable service for the user. This service information is then sent back to the device.

[0979] network:

[0980] It enables data communication between terminals and servers via the Internet, making it possible to send and receive data in real time.

[0981] Operating procedure

[0982] The user accesses the survey using a device and answers the questions provided. The questions include categories such as "area of ​​interest," "frequency of use," and "budget range." For example, the user answers questions displayed on the smartphone screen with "area of ​​interest: technology" and "budget range: high." After answering all the questions in the survey, the data is converted into JSON format and sent to the server.

[0983] The device is equipped with an emotion engine that analyzes the user's voice and facial expression data. For example, the camera captures the user's facial expressions and the microphone records their voice. This data is analyzed in real time and quantified to represent the user's emotional state. This emotional state data is also sent to the server.

[0984] The server stores the received response data and emotional state data and analyzes them. For example, it stores this information in a database and uses an analysis algorithm to select the most suitable service. This process takes into consideration the user's areas of interest, budget range, and emotional state. The selected service information is sent to the device in JSON format.

[0985] The received service information is interpreted by the device and visually displayed to the user. For example, "Technology Premium Plan" and "Stress Relief Content" are displayed on the device screen. In this way, the user can easily obtain the service that best suits their condition and needs.

[0986] Specific examples

[0987] Let us consider a case where a user answers the survey questions with "area of ​​interest: technology," "frequency of service use: daily," "budget range: high," and "under stress," and the emotion engine detects the user's stress. In this case, the device sends the response data and emotional state data to the server, which analyzes the data. As a result of the analysis, a "Technology Premium Plan" and "Stress Relief Content" are selected. The server then sends the selected service information to the device, which then displays it to the user.

[0988] Prompt Sentence Examples

[0989] Here are some examples of prompts to input to the generative AI model:

[0990] If a user answers the questionnaire with "Interest: Technology," "Budget: High," and "Feeling stressed," and the emotion engine detects stress, generate a program for the system that selects and provides the optimal service. Explain each processing step in detail and include specific actions.

[0991] The flow of the identification process in the second embodiment will be described with reference to FIG.

[0992] Step 1:

[0993] The user answers the questionnaire on the device.

[0994] Users access a dedicated application on their device or a web interface and answer a series of survey questions, including "areas of interest," "frequency of use," and "budget range." Specifically, users select and enter options for each question.

[0995] Input: Questions about areas of interest, frequency of use, budget range, etc.

[0996] Output: User response data (e.g., "Interest area: Technology", "Frequency of use: Daily", "Budget range: High")

[0997] Step 2:

[0998] The terminal transmits the user's response data to the server.

[0999] After the user answers all the questions in the survey, the device converts the answer data into JSON format and sends it to the server. Specifically, when the user presses the send button, the data is sent to the server via the Internet.

[1000] Input: User response data

[1001] Output: JSON formatted response data sent to the server

[1002] Step 3:

[1003] The device's emotion engine recognizes the user's emotional state and transmits it to the server.

[1004] The device is equipped with an emotion engine that analyzes the user's voice and facial expression data in real time to recognize their emotional state. This recognized emotional state data is also sent to the server in JSON format. Specifically, the device captures facial expressions with a camera, records audio with a microphone, and analyzes the data.

[1005] Input: Voice data, facial expression data

[1006] Output: Emotional state data sent to the server (e.g., "Stress level: High")

[1007] Step 4:

[1008] The server stores and analyzes the received response data and emotional state data.

[1009] The server receives the response data and emotional state data sent from the device and stores them in a database. It then analyzes the data using a predefined algorithm. Specific operations include storing the data in the database and executing the algorithm.

[1010] Input: Answer data, emotional state data

[1011] Output: Analysis results (e.g., recommendations for "Technology Premium Plan" and "Stress Reduction Content")

[1012] Step 5:

[1013] The server selects the optimal service based on the analysis results.

[1014] Based on the analysis results, the server selects the most suitable service for the user. Information about the selected service is sent to the device in JSON format. Specifically, the server generates service information based on the results of the analysis algorithm.

[1015] Input: Analysis results

[1016] Output: JSON data of selected services (e.g., "Technology Premium Plan" and "Stress Reduction Content")

[1017] Step 6:

[1018] The server transmits the selected service information to the terminal.

[1019] The server returns the selected service information to the terminal, and as a specific operation, data is transmitted to the terminal via the Internet.

[1020] Input: JSON data of the selected service

[1021] Output: Service information sent to the device

[1022] Step 7:

[1023] The terminal interprets the received service information and visually displays it to the user.

[1024] The terminal interprets the received service information and visually displays it to the user. Specifically, detailed service information is displayed on the screen.

[1025] Input: Service information sent from the server

[1026] Output: Service information viewed by the user on the device (e.g., "Technology Premium Plan" and "Stress Reduction Content")

[1027] (Application example 2)

[1028] 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."

[1029] Modern content delivery services are required to provide optimal content tailored to each user's individual preferences and emotional state. However, conventional methods provide services based solely on static data such as survey results without taking the user's emotional state into account, often resulting in an inadequate user experience. In particular, they are unable to deliver content tailored to emotional states such as stress and relaxation.

[1030] 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.

[1031] In this invention, the server includes means for providing a set of questions for the user to answer in a questionnaire, means for transmitting the user's answer data to the server, means for using an emotion engine that analyzes the user's voice data and facial expression data to recognize the user's emotional state, means for selecting and adjusting services based on the recognized emotional state, and means for returning and displaying the selected services to the user terminal, thereby making it possible to provide optimal content that takes into account both the user's preferences and emotional state.

[1032] A "questionnaire" is a set of questions designed to understand the preferences and needs of individual users.

[1033] "Response data" refers to information obtained by users responding to a questionnaire, and includes information such as the user's areas of interest, frequency of use, and budget range.

[1034] A "server" is a computer system that receives, stores, and analyzes user response data and emotional state data.

[1035] The "emotion engine" is a system that analyzes the user's voice data and facial expression data to recognize the user's emotional state in real time.

[1036] The "recognized emotional state" is information indicating the type and state of the user's emotion, obtained as a result of analysis by the emotion engine.

[1037] "Selected services" are optimal services and content selected by the server based on the user's response data and perceived emotional state.

[1038] "User Device" means the device used by a User to answer the questionnaire and receive and display the selected Services.

[1039] "Optimal content" refers to the content or service that is most suitable for the user, selected by the server according to the user's field of interest and emotional state.

[1040] The present invention is a content distribution system that provides optimal content based on a user's preferences and emotional state. The system is composed of a user terminal, a server, and a network that enables communication between them. Specifically, the invention is implemented as follows.

[1041] The user terminal has a means for providing a set of questions for answering the questionnaire. The user answers the questionnaire using a terminal such as a smartphone or tablet. The questionnaire includes questions about the user's areas of interest, frequency of service use, budget range, etc., and the user answers these questions.

[1042] When a user answers a questionnaire, the user's device sends the response data to a server. The device also contains an emotion engine that collects the user's voice and facial expression data, analyzes them, and recognizes their emotional state. This engine uses OpenCV, for example, to analyze the user's emotional state in real time and also sends the recognized emotional state data to the server.

[1043] The server runs a program that stores and analyzes the received response data and emotional state data. During the analysis, a predefined algorithm is used to select optimal content based on the user's preferences and emotional state. This algorithm may include analysis using a generative AI model, for example.

[1044] As a result of the analysis, the server selects the most suitable content and returns it in JSON format to the user's device. The user's device interprets the received content and displays it visually to the user. For example, if a user answers a questionnaire saying that they are interested in "technology," use the service "daily," and are in a "high stress state," and the emotion engine also recognizes high stress, the server will select "premium content related to technology" as well as "relaxation content to reduce stress." As a result, these contents are displayed on the user's device.

[1045] Below are some examples of prompt sentences.

[1046] Survey Responses:

[1047] "What content do you like to watch when you want to relax?"

[1048] 1. Music

[1049] 2. Movies

[1050] 3. Reading

[1051] 4. Others

[1052] Emotional state recognition:

[1053] Take a photo of your face with your smartphone camera.

[1054] "We analyze your facial expressions to provide a relaxing environment."

[1055] In this way, it is possible to provide optimal content based on the user's preferences and emotional state.

[1056] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[1057] Step 1:

[1058] The user responds to the survey.

[1059] Users launch the app installed on their smartphone or tablet and answer the survey questions that are presented to them. Questions include "areas of interest," "frequency of service use," and "budget range." Input: user response data, Output: response data.

[1060] Step 2:

[1061] The response data is sent from the terminal to the server.

[1062] The user device sends the survey data answered by the user in JSON format to the server. Input: User's response data, Output: Response data sent to the server.

[1063] Step 3:

[1064] The device collects voice and facial expression data and analyzes the user's emotional state.

[1065] The user device collects the user's voice data and facial expression data using a camera and microphone. An emotion engine (e.g., OpenCV) is used to perform real-time emotion analysis. Input: voice data, facial expression data, output: emotional state data.

[1066] Step 4:

[1067] Emotional state data is transmitted from the terminal to a server.

[1068] The user device sends the analyzed emotional state data to the server in JSON format. Input: Emotional state data, Output: Emotional state data sent to the server.

[1069] Step 5:

[1070] A server stores and analyzes the response data and emotional state data.

[1071] The server stores the received response data and emotional state data and analyzes them using an algorithm (e.g., a generative AI model). Based on the analysis results, it selects the optimal content that takes into account the user's preferences and emotional state. Input: response data, emotional state data, output: optimal content.

[1072] Step 6:

[1073] The server returns the selected optimal content to the user terminal.

[1074] The server sends the selected optimal content to the user's terminal in JSON format. Input: optimal content, Output: content sent to the user's terminal.

[1075] Step 7:

[1076] The user terminal visually displays the received content.

[1077] The user terminal interprets the content data received from the server and displays it in the most suitable form for the user. For example, it displays "technical premium content" or "relaxation content" on the screen. Input: Received content, Output: Visually displayed content.

[1078] 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.

[1079] 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.

[1080] 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.

[1081] [Fourth embodiment]

[1082] FIG. 7 shows an example of the configuration of a data processing system 410 according to the fourth embodiment.

[1083] 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.

[1084] 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).

[1085] 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.

[1086] 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.

[1087] 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).

[1088] 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.

[1089] 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.

[1090] 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.

[1091] 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.

[1092] 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.

[1093] 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.

[1094] 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."

[1095] The present invention relates to a system that automatically selects and provides optimal services based on users' responses to a questionnaire. This system is composed of terminals, a server, and a network that realizes communication between them.

[1096] In an embodiment of this system, a user accesses a survey using a terminal and answers individual questions. After the user answers all the questions, the terminal transmits the answer data in JSON format to a server. As a specific example, a user may answer questions about "areas of interest," "frequency of use," and "budget range."

[1097] The server stores the JSON-formatted response data received from the device and analyzes it. During the analysis process, a predefined algorithm is used to select the optimal service based on the user's response data. For example, if the user's "area of ​​interest" is "technology" and their "budget range" is "high," the server will select the "Technology Premium Plan."

[1098] The server then returns the selected optimal service in JSON format to the device, which then interprets the service data and visually displays it to the user, allowing the user to easily obtain information about the optimal service for them.

[1099] As a concrete example, let's consider a case where the user answers "Interest: Technology", "Service Usage Frequency: Daily", and "Budget Range: High". In this case, the server will process as follows:

[1100] 1. The device sends the response data to the server.

[1101] 2. The server analyzes the received data and determines that the "Technology Premium Plan" is optimal.

[1102] 3. The server returns the selected service to the terminal.

[1103] 4. The device displays the "Technology Premium Plan" to the user.

[1104] In this way, it becomes possible to quickly and accurately select and provide the most suitable service, regardless of the user's skill or experience. This system is both flexible and simple, and can meet the needs of a wide variety of users.

[1105] This embodiment effectively solves the problems of the present invention and improves the user experience.

[1106] The processing flow will be explained below.

[1107] Step 1:

[1108] The user launches the survey app on their device and accesses the survey.

[1109] Step 2:

[1110] The device sends a GET request to the server's / get_questions endpoint.

[1111] Step 3:

[1112] The server receives a request via the / get_questions endpoint and returns a set of predefined questions in JSON format to the device.

[1113] Step 4:

[1114] The terminal displays the questions returned from the server to the user.

[1115] Step 5:

[1116] The user enters answers to each question at the terminal to complete the answer.

[1117] Step 6:

[1118] The device converts the user's response data into JSON format and sends a POST request to the server's / submit_response endpoint.

[1119] Step 7:

[1120] The server receives the POST request via the / submit_response endpoint and stores the received response data in the customer_responses list.

[1121] Step 8:

[1122] The server returns a message in JSON format saying "Answer accepted."

[1123] Step 9:

[1124] The user performs an operation on the terminal to request the optimal service.

[1125] Step 10:

[1126] The device converts the pre-stored response data into JSON format and sends a POST request to the server's / get_service endpoint.

[1127] Step 11:

[1128] The server receives a POST request via the / get_service endpoint and parses the received response data.

[1129] Step 12:

[1130] The server selects the most suitable service for the user based on the analysis results. For example, if the user's area of ​​interest is "technology" and the user's budget is "high," the server selects the "technology premium plan."

[1131] Step 13:

[1132] The server returns the selected optimal service to the device in JSON format.

[1133] Step 14:

[1134] The terminal interprets the data of the optimal service received from the server and visually displays it to the user.

[1135] Example 1

[1136] 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."

[1137] In modern society, a wide variety of services are available, making it difficult for users to select the service that best suits them. Manual selection is time-consuming, labor-intensive, and inefficient, as it relies on experience and knowledge. To address this issue, there is a need for a system that allows users to easily select and quickly use the service that best suits them.

[1138] 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.

[1139] In this invention, the server includes means for providing a plurality of questions for the user to answer in a questionnaire, means for converting the user's answer data into a data format and sending it to the server, means for storing the answer data received by the server in a database and analyzing it, means for selecting an optimal service for the user based on the saved and analyzed answer data using a predefined algorithm, and means for converting the selected service information into a data format and returning it to the user terminal for display. This makes it possible to efficiently and quickly select an optimal service without relying on the user's skills or experience.

[1140] "User" refers to a person who accesses the system, answers the questionnaire, and uses the service.

[1141] A "questionnaire" refers to a series of questions that users answer, and is a means of gathering information for service selection.

[1142] "Questions" refer to items presented to users in a questionnaire, and are intended to understand the user's interests and usage status.

[1143] "Answer data" refers to information entered by a user in response to a question.

[1144] "Data format" refers to the format (e.g., JSON format) used to send response data to the server.

[1145] "Server" refers to a computer system for storing and analyzing received data.

[1146] "Database" refers to a structured data storage system used by a server to store data.

[1147] "Analysis" refers to the process by which the server processes the received data using algorithms to extract meaningful information.

[1148] An "algorithm" refers to a series of steps or calculation methods used to analyze response data and select the most suitable service for a user.

[1149] "Services" refers to the features and plans that a User may select and use.

[1150] "Selecting" refers to the act of determining the most appropriate service based on analyzed data.

[1151] "Return" refers to the act of the server sending data back to the terminal.

[1152] "Displaying" refers to the act of allowing a user to visually confirm information on a terminal.

[1153] The present invention relates to a system that automatically selects and provides optimal services based on users' responses to a questionnaire. This system is mainly composed of users, terminals, a server, and a network that realizes communication between them.

[1154] The user accesses and answers the provided survey using a device. Specifically, the user accesses the survey page using a web browser (e.g., Google Chrome or Mozilla Firefox). The survey includes questions such as "areas of interest," "frequency of service use," and "budget range," and the user answers these questions.

[1155] The device converts the user's response data into JSON format and sends it to the server over the network, typically using an HTTP POST request. The server then stores the received JSON-formatted response data in a database (for example, MySQL or MongoDB).

[1156] The server uses a predefined algorithm to analyze the stored data. The algorithm is implemented in a programming language such as Python and selects the most suitable service based on the user's response data. For example, if a user's area of ​​interest is "technology" and their budget range is "high," the server will determine that the "Technology Premium Plan" is the most suitable.

[1157] The server then converts the selected service information back into JSON format and sends it to the device, which then interprets the received JSON data and displays it visually to the user using front-end technologies such as React.js or Vue.js.

[1158] As a concrete example, let's consider a scenario where the user answers "Interest: Technology", "Service Usage: Daily", and "Budget Range: High". In this case, the server will do the following:

[1159] 1. The device converts the answer data (area of ​​interest: technology), (frequency of use: daily), and (budget range: high) into JSON format and sends it.

[1160] 2. The server receives the data and stores it in a database.

[1161] 3. The server analyzes the data and determines that the "Technology Premium Plan" is optimal.

[1162] 4. The server returns the selected service information to the device in JSON format.

[1163] 5. The data received by the device is displayed to the user using React.js.

[1164] In this way, users can efficiently and quickly select and use the most suitable service regardless of their own skills or experience.

[1165] Example prompt sentence:

[1166] I am thinking of a program for a system where users can answer a questionnaire to select the most suitable service. If a user answers the following questionnaire, I would like to recommend the "Technology Premium Plan."

[1167] Example answer:

[1168] Areas of interest: Technology

[1169] Frequency of service use: Daily

[1170] Budget range: High

[1171] What algorithms and front-end technologies should we use?

[1172] The flow of the identification process in the first embodiment will be described with reference to FIG.

[1173] Step 1:

[1174] The user accesses and responds to the survey.

[1175] The user opens a web browser and accesses a survey page, which asks questions such as "areas of interest," "frequency of service use," and "budget range."

[1176] Input: User's survey response

[1177] Output: User response data

[1178] What happens: The user enters the answers "Interest: Technology", "Frequency: Daily", and "Budget: High".

[1179] Step 2:

[1180] The device sends the response data in JSON format to the server.

[1181] Once the user has completed their response, a program on the device converts the response data into JSON format and sends it to the server via the network.

[1182] Input: User response data

[1183] Output: JSON formatted response data

[1184] Specific operation: The device generates JSON data "{'Area of ​​interest':'Technology', 'Frequency of use':'Daily', 'Budget range':'High'}" and sends it to the server via an HTTP POST request.

[1185] Step 3:

[1186] The server stores and analyzes the received response data.

[1187] The server receives the JSON data via the network and stores it in a database, which then sends it to the analysis module.

[1188] Input: JSON formatted response data

[1189] Output: Information for data analysis

[1190] Specific operation: The server executes the SQL query "INSERT INTO responses (data) VALUES (JSON data)" and saves it in the database.

[1191] Step 4:

[1192] The server selects the optimal service based on the analysis results.

[1193] A predefined algorithm (for example, logic written in Python) analyzes the user's response data and selects the most suitable service.

[1194] Input: Saved response data

[1195] Output: Optimal service information

[1196] Specific operation: An algorithm on the server analyzes the response data and determines that the "Technology Premium Plan" is the best option.

[1197] Step 5:

[1198] The server returns the selected service information to the terminal in JSON format.

[1199] The selected service information is converted into JSON format and sent to the terminal.

[1200] Input: Best service information

[1201] Output: Service information in JSON format

[1202] Specific operation: The server generates JSON data "{'Recommended plan': 'Technology Premium Plan'}" and returns it to the terminal as an HTTP response.

[1203] Step 6:

[1204] The terminal visually displays the received data to the user.

[1205] The device interprets the JSON data received from the server and displays it visually to the user, using front-end technologies such as React.js and Vue.js.

[1206] Input: Service information in JSON format

[1207] Output: Visually displayed service information

[1208] Specific behavior: The device uses React.js and displays "Recommended plan: Technology Premium Plan" on the screen.

[1209] (Application example 1)

[1210] 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."

[1211] Conventional service provision systems based on user needs have difficulty efficiently and accurately reflecting diverse user needs, making it particularly difficult to provide a personalized shopping experience. This has led to problems such as reduced user satisfaction. Another issue is that it is difficult for users to find the right products and services from the vast number of options, resulting in poor shopping efficiency.

[1212] 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.

[1213] In this invention, the server includes means for providing a set of questions for the user to answer in a questionnaire, means for transmitting the user's answer data to the server, means for storing and analyzing the answer data received by the server, means for selecting an optimal service based on the stored and analyzed answer data, means for returning and displaying the selected service to the user terminal, means for recommending personalized products and services based on the user's answers, and means for visually displaying the recommended products and services received by the user terminal to the user, thereby making it possible to provide a personalized shopping experience based on the diverse needs of users.

[1214] A "survey" is a series of questions that users answer about their interests and needs.

[1215] "Response data" refers to the information entered by users in response to a survey, and is typically a collection of data stored in electronic form.

[1216] A "server" is a computer system that receives, stores, and analyzes data sent from user devices and selects the most appropriate services and products.

[1217] "Analysis" refers to the data processing that uses predefined algorithms to select the most suitable services and products using the received response data.

[1218] "Service" refers to the optimal plan, product, or support provided based on the user's answers.

[1219] A "user terminal" is an electronic device such as a mobile phone, smartphone, tablet, or computer used to enter responses to the survey and receive and display the selection results from the server.

[1220] "Recommendation" refers to the act of suggesting to users the most appropriate services or products selected through analysis.

[1221] "Personalization" is a concept that refers to customizing and providing optimal services and products based on each user's specific needs and interests.

[1222] "JSON" is a lightweight data interchange format used for storing and transferring data, and is an abbreviation for JavaScript Object Notation.

[1223] The present invention relates to a system that automatically selects and provides optimal services based on users' responses to a questionnaire. This system is composed of terminals, a server, and a network that realizes communication between them.

[1224] A user accesses the survey and answers each question using a device. Specific hardware could be a smartphone, tablet, or PC. Once the user has answered all the questions, the device sends the answer data in JSON format to the server. For example, the user can answer questions about "areas of interest," "frequency of use," and "budget range."

[1225] The server stores the JSON-formatted response data received from the device and analyzes it. During the analysis process, a predefined algorithm is used to select the optimal service based on the user's response data. For example, the Python programming language and libraries for data analysis (e.g., Pandas and Scikit-learn) can be used. If the user's "area of ​​interest" is "technology" and their "budget range" is "high," the server selects the "Technology Premium Plan."

[1226] Next, the server returns the selected optimal service in JSON format to the device. The device interprets the acquired service data and displays it visually to the user. This process can provide a user-friendly interface using HTML, JavaScript, etc., allowing users to easily obtain information about the optimal service for them.

[1227] As a specific example, if a user answers "area of ​​interest: technology," "frequency of service use: daily," and "budget range: high," the server will process as follows: First, the terminal sends the response data to the server. Next, the server analyzes the received data and determines that the "Technology Premium Plan" is the most suitable. After that, the server returns the selected service to the terminal. Finally, the terminal displays the "Technology Premium Plan" to the user.

[1228] The user answers the following survey:

[1229] 1. Product category of interest: Electronics

[1230] 2. Purchase frequency: Once a week

[1231] 3. Budget: High

[1232] Use these answers to offer the best products and services.

[1233] This system enables the provision of a personalized shopping experience based on the diverse needs of users, and also improves shopping efficiency and user satisfaction.

[1234] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[1235] Step 1:

[1236] The user responds to the survey.

[1237] Specific operations: The user uses a device (smartphone or PC) to access the questionnaire form and answer questions such as "areas of interest," "frequency of use," and "budget range."

[1238] Input: Survey response data entered by the user

[1239] Output: Survey response data temporarily saved on the device

[1240] Step 2:

[1241] The terminal transmits the questionnaire response data to the server.

[1242] Specific operation: The terminal converts the answer data entered by the user into JSON format and sends it to the server as an HTTP POST request.

[1243] Input: Survey response data saved on the device

[1244] Output: Survey response data in JSON format sent to the server

[1245] Step 3:

[1246] The server stores the received survey response data and analyzes it.

[1247] Specific operation: The server parses the received JSON data and stores it in a database. It then analyzes the data using an algorithm. For example, the algorithm can use Python and a data analysis library (Pandas, Scikit-learn).

[1248] Input: Survey response data in JSON format sent to the server

[1249] Output: Analysis result data (list of optimal services or products)

[1250] Step 4:

[1251] The server selects the most suitable service or product based on the analysis results.

[1252] Specific operation: Based on the analysis results, the server lists the products and services that best suit the user's needs. For example, if the user's interest area is technology and their budget range is high, the "Technology Premium Plan" will be selected.

[1253] Input: Analysis result data

[1254] Output: A list of selected optimal services or products (JSON format)

[1255] Step 5:

[1256] The server returns the selected service or product to the terminal.

[1257] Specific operation: The server encodes the selection result in JSON format and returns it to the terminal as an HTTP response.

[1258] Input: List of selected optimal services or products (JSON format)

[1259] Output: Selection results sent to the terminal (JSON format)

[1260] Step 6:

[1261] The terminal displays the received selection result to the user.

[1262] Specific operation: The device parses the JSON data received from the server and displays it in a visual format for the user using HTML and JavaScript.

[1263] Input: Selection results received from the server (JSON format)

[1264] Output: A list of the best services or products displayed on the user's screen

[1265] In this way, personalized product and service recommendations based on the user's various needs are automatically made, and user satisfaction is improved because information can be provided quickly and accurately.

[1266] 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.

[1267] The present invention relates to a system that automatically selects and provides optimal services based on a user's responses to a questionnaire, and also includes an emotion engine that recognizes the user's emotional state and selects and adjusts services based on that emotional state. This system is composed of a terminal, a server, and a network that enables communication between them.

[1268] In this embodiment of the system, a user accesses a survey using a terminal and answers a set of questions provided. The survey may include questions about "areas of interest," "frequency of use," and "budget range." After the user answers all the questions, the terminal transmits the answer data to the server in JSON format.

[1269] Furthermore, the device is equipped with an emotion engine that recognizes the user's emotional state. The emotion engine analyzes the user's voice data and facial expression data to recognize the user's emotional state in real time. This recognized emotional state is also sent to the server along with the response data.

[1270] The server stores the response data and emotional state data received from the device and analyzes them. During the analysis process, a predefined algorithm is used to select the optimal service based on the user's response data and emotional state. For example, if a user's "area of ​​interest" is "technology," their "budget range" is "high," and they are "stressed," the server will select a "technology premium plan" along with content that emphasizes relaxation.

[1271] The server then returns the selected optimal service in JSON format to the device, which then interprets the received service data and visually displays it to the user, allowing the user to easily obtain the service that best suits their situation and needs.

[1272] As a concrete example, let us consider a case where a user answers "Interest: Technology", "Service Usage: Daily", "Budget Range: High" and "I am under stress", and the emotion engine detects that the user is stressed. In this case, the server will process as follows:

[1273] 1. The terminal sends answer data and emotional state data to the server.

[1274] 2. The server analyzes the received data and selects to provide the "Technology Premium Plan" along with the "Stress Relief Content."

[1275] 3. The server returns the selected service to the terminal.

[1276] 4. The device displays the "Technology Premium Plan" and "Stress Reduction Content" to the user.

[1277] In this way, the optimal service is quickly and accurately selected and provided, taking into account the user's emotional state. This system is flexible and simple, and can meet the needs and situations of a variety of users. This embodiment can improve the user experience and effectively solve problems.

[1278] The processing flow will be explained below.

[1279] Step 1:

[1280] The user launches the survey app on their device and accesses the survey.

[1281] Step 2:

[1282] The device sends a GET request to the server's / get_questions endpoint.

[1283] Step 3:

[1284] The server receives a request via the / get_questions endpoint and returns a set of predefined questions in JSON format to the device.

[1285] Step 4:

[1286] The terminal displays the questions returned from the server to the user, such as questions about "areas of interest," "frequency of service use," and "budget range."

[1287] Step 5:

[1288] The user enters answers to each question at the terminal to complete the answer.

[1289] Step 6:

[1290] The emotion engine analyzes the user's voice and facial expression data in real time to recognize the user's emotional state. Specifically, it analyzes changes in voice tone and facial expressions to identify emotional states such as "stress," "joy," and "anxiety."

[1291] Step 7:

[1292] The device converts the recognized emotional state data along with the response data into JSON format and sends a POST request to the server's / submit_response endpoint.

[1293] Step 8:

[1294] The server receives the POST request via the / submit_response endpoint and stores the received response data and emotional state data in the customer_responses list.

[1295] Step 9:

[1296] The server returns a message in JSON format saying "Answer accepted."

[1297] Step 10:

[1298] The user performs an operation on the device to request the optimal service, specifically by clicking the "Recommend optimal service" button.

[1299] Step 11:

[1300] The device converts the pre-stored answer data and emotional state data into JSON format and sends a POST request to the server's / get_service endpoint.

[1301] Step 12:

[1302] The server receives a POST request at the / get_service endpoint and analyzes the received data, which includes responses about the user's areas of interest, frequency of use, budget range, and emotional state data.

[1303] Step 13:

[1304] The server selects the most suitable service for the user based on the analysis results. For example, if the user's area of ​​interest is "technology," their budget range is "high," and their emotional state is "stressed," the server selects a "technology premium plan" along with content that emphasizes relaxation.

[1305] Step 14:

[1306] The server returns the selected optimal service to the device in JSON format.

[1307] Step 15:

[1308] The device interprets the data received from the server and visually displays it to the user, so for example, the user might see "stress reduction content" along with a "technical premium plan."

[1309] In this way, by comprehensively analyzing the user's response data and emotional state, it is possible to efficiently select and provide the most suitable service.

[1310] Example 2

[1311] 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."

[1312] In conventional systems, services were generally provided without taking the user's emotional state into consideration. This made it difficult to provide services that were optimal for the user's actual mood and state. Furthermore, as user needs become more diverse, there is a demand for more personalized services. To solve this problem, a mechanism is needed to analyze data that includes the user's emotional state.

[1313] 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.

[1314] In this invention, the server includes means for providing a set of questions for the user to answer in a questionnaire, means for transmitting the user's answer data to the server, means for an emotion engine in the user terminal to recognize the user's emotional state and transmit that data to the server, means for saving and analyzing the answer data and emotional state data received by the server, means for selecting an optimal service based on the saved and analyzed answer data and emotional state data, and means for returning the selected service to the user terminal and displaying it, thereby making it possible to quickly and accurately select and provide a service optimal to the user's emotional state.

[1315] The "questionnaire questions" are a series of questions presented to the user to collect information such as areas of interest, frequency of service use, and budget range.

[1316] "User response data" refers to data resulting from a user's response to a questionnaire, and is information sent to the server in JSON format or the like.

[1317] An "emotion engine" is a function or system that analyzes a user's voice data and facial expression data to recognize their emotional state in real time.

[1318] "Emotional state data" is data relating to the emotional state of the user recognized by the emotion engine, and is, for example, information that quantifies stress levels, etc.

[1319] A "server" is a computer system on a network that receives, stores, and analyzes response data and emotional state data sent from terminals.

[1320] "Optimal service" refers to the service that best suits the user's condition and needs based on the response data and emotional state data.

[1321] "JSON format" is an abbreviation for JavaScript Object Notation, and is a lightweight data format for expressing data in a form that is easy for humans to read.

[1322] "Analysis" is the process of using algorithms to find features and trends based on the data received.

[1323] "Selection" is the process of determining the services to be provided based on the analysis results.

[1324] "Real-time" refers to the timing at which data is analyzed and processed the moment it is generated.

[1325] A "terminal" is a device (e.g., smartphone, tablet, or PC) that a user uses to respond to the survey and communicate with the server.

[1326] The present invention is a system that automatically selects and provides optimal services based on the user's responses to a questionnaire, and also includes a function that recognizes the user's emotional state and selects and adjusts services based on that data. This system is composed of terminals, a server, and a network that enables communication between them.

[1327] composition

[1328] Device:

[1329] This refers to the device used by the user, such as a smartphone, tablet, or PC. A dedicated application or web interface is installed on the device, allowing the user to access and enter answers to the survey. The device also has a built-in emotion engine that analyzes voice data and facial expression data in real time to recognize the user's emotional state.

[1330] server:

[1331] This is a computer system that receives, stores, and analyzes response data and emotional state data sent by users. A predefined algorithm is installed on the server, which analyzes the data and selects the most suitable service for the user. This service information is then sent back to the device.

[1332] network:

[1333] It enables data communication between terminals and servers via the Internet, making it possible to send and receive data in real time.

[1334] Operating procedure

[1335] The user accesses the survey using a device and answers the questions provided. The questions include categories such as "area of ​​interest," "frequency of use," and "budget range." For example, the user answers questions displayed on the smartphone screen with "area of ​​interest: technology" and "budget range: high." After answering all the questions in the survey, the data is converted into JSON format and sent to the server.

[1336] The device is equipped with an emotion engine that analyzes the user's voice and facial expression data. For example, the camera captures the user's facial expressions and the microphone records their voice. This data is analyzed in real time and quantified to represent the user's emotional state. This emotional state data is also sent to the server.

[1337] The server stores the received response data and emotional state data and analyzes them. For example, it stores this information in a database and uses an analysis algorithm to select the most suitable service. This process takes into consideration the user's areas of interest, budget range, and emotional state. The selected service information is sent to the device in JSON format.

[1338] The received service information is interpreted by the device and visually displayed to the user. For example, "Technology Premium Plan" and "Stress Relief Content" are displayed on the device screen. In this way, the user can easily obtain the service that best suits their condition and needs.

[1339] Specific examples

[1340] Let us consider a case where a user answers the survey questions with "area of ​​interest: technology," "frequency of service use: daily," "budget range: high," and "under stress," and the emotion engine detects the user's stress. In this case, the device sends the response data and emotional state data to the server, which analyzes the data. As a result of the analysis, a "Technology Premium Plan" and "Stress Relief Content" are selected. The server then sends the selected service information to the device, which then displays it to the user.

[1341] Prompt Sentence Examples

[1342] Here are some examples of prompts to input to the generative AI model:

[1343] If a user answers the questionnaire with "Interest: Technology," "Budget: High," and "Feeling stressed," and the emotion engine detects stress, generate a program for the system that selects and provides the optimal service. Explain each processing step in detail and include specific actions.

[1344] The flow of the identification process in the second embodiment will be described with reference to FIG.

[1345] Step 1:

[1346] The user answers the questionnaire on the device.

[1347] Users access a dedicated application on their device or a web interface and answer a series of survey questions, including "areas of interest," "frequency of use," and "budget range." Specifically, users select and enter options for each question.

[1348] Input: Questions about areas of interest, frequency of use, budget range, etc.

[1349] Output: User response data (e.g., "Interest area: Technology", "Frequency of use: Daily", "Budget range: High")

[1350] Step 2:

[1351] The terminal transmits the user's response data to the server.

[1352] After the user answers all the questions in the survey, the device converts the answer data into JSON format and sends it to the server. Specifically, when the user presses the send button, the data is sent to the server via the Internet.

[1353] Input: User response data

[1354] Output: JSON formatted response data sent to the server

[1355] Step 3:

[1356] The device's emotion engine recognizes the user's emotional state and transmits it to the server.

[1357] The device is equipped with an emotion engine that analyzes the user's voice and facial expression data in real time to recognize their emotional state. This recognized emotional state data is also sent to the server in JSON format. Specifically, the device captures facial expressions with a camera, records audio with a microphone, and analyzes the data.

[1358] Input: Voice data, facial expression data

[1359] Output: Emotional state data sent to the server (e.g., "Stress level: High")

[1360] Step 4:

[1361] The server stores and analyzes the received response data and emotional state data.

[1362] The server receives the response data and emotional state data sent from the device and stores them in a database. It then analyzes the data using a predefined algorithm. Specific operations include storing the data in the database and executing the algorithm.

[1363] Input: Answer data, emotional state data

[1364] Output: Analysis results (e.g., recommendations for "Technology Premium Plan" and "Stress Reduction Content")

[1365] Step 5:

[1366] The server selects the optimal service based on the analysis results.

[1367] Based on the analysis results, the server selects the most suitable service for the user. Information about the selected service is sent to the device in JSON format. Specifically, the server generates service information based on the results of the analysis algorithm.

[1368] Input: Analysis results

[1369] Output: JSON data of selected services (e.g., "Technology Premium Plan" and "Stress Reduction Content")

[1370] Step 6:

[1371] The server transmits the selected service information to the terminal.

[1372] The server returns the selected service information to the terminal, and as a specific operation, data is transmitted to the terminal via the Internet.

[1373] Input: JSON data of the selected service

[1374] Output: Service information sent to the device

[1375] Step 7:

[1376] The terminal interprets the received service information and visually displays it to the user.

[1377] The terminal interprets the received service information and visually displays it to the user. Specifically, detailed service information is displayed on the screen.

[1378] Input: Service information sent from the server

[1379] Output: Service information viewed by the user on the device (e.g., "Technology Premium Plan" and "Stress Reduction Content")

[1380] (Application example 2)

[1381] 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."

[1382] Modern content delivery services are required to provide optimal content tailored to each user's individual preferences and emotional state. However, conventional methods provide services based solely on static data such as survey results without taking the user's emotional state into account, often resulting in an inadequate user experience. In particular, they are unable to deliver content tailored to emotional states such as stress and relaxation.

[1383] 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.

[1384] In this invention, the server includes means for providing a set of questions for the user to answer in a questionnaire, means for transmitting the user's answer data to the server, means for using an emotion engine that analyzes the user's voice data and facial expression data to recognize the user's emotional state, means for selecting and adjusting services based on the recognized emotional state, and means for returning and displaying the selected services to the user terminal, thereby making it possible to provide optimal content that takes into account both the user's preferences and emotional state.

[1385] A "questionnaire" is a set of questions designed to understand the preferences and needs of individual users.

[1386] "Response data" refers to information obtained by users responding to a questionnaire, and includes information such as the user's areas of interest, frequency of use, and budget range.

[1387] A "server" is a computer system that receives, stores, and analyzes user response data and emotional state data.

[1388] The "emotion engine" is a system that analyzes the user's voice data and facial expression data to recognize the user's emotional state in real time.

[1389] The "recognized emotional state" is information indicating the type and state of the user's emotion, obtained as a result of analysis by the emotion engine.

[1390] "Selected services" are optimal services and content selected by the server based on the user's response data and perceived emotional state.

[1391] "User Device" means the device used by a User to answer the questionnaire and receive and display the selected Services.

[1392] "Optimal content" refers to the content or service that is most suitable for the user, selected by the server according to the user's field of interest and emotional state.

[1393] The present invention is a content distribution system that provides optimal content based on a user's preferences and emotional state. The system is composed of a user terminal, a server, and a network that enables communication between them. Specifically, the invention is implemented as follows.

[1394] The user terminal has a means for providing a set of questions for answering the questionnaire. The user answers the questionnaire using a terminal such as a smartphone or tablet. The questionnaire includes questions about the user's areas of interest, frequency of service use, budget range, etc., and the user answers these questions.

[1395] When a user answers a questionnaire, the user's device sends the response data to a server. The device also contains an emotion engine that collects the user's voice and facial expression data, analyzes them, and recognizes their emotional state. This engine uses OpenCV, for example, to analyze the user's emotional state in real time and also sends the recognized emotional state data to the server.

[1396] The server runs a program that stores and analyzes the received response data and emotional state data. During the analysis, a predefined algorithm is used to select optimal content based on the user's preferences and emotional state. This algorithm may include analysis using a generative AI model, for example.

[1397] As a result of the analysis, the server selects the most suitable content and returns it in JSON format to the user's device. The user's device interprets the received content and displays it visually to the user. For example, if a user answers a questionnaire saying that they are interested in "technology," use the service "daily," and are in a "high stress state," and the emotion engine also recognizes high stress, the server will select "premium content related to technology" as well as "relaxation content to reduce stress." As a result, these contents are displayed on the user's device.

[1398] Below are some examples of prompt sentences.

[1399] Survey Responses:

[1400] "What content do you like to watch when you want to relax?"

[1401] 1. Music

[1402] 2. Movies

[1403] 3. Reading

[1404] 4. Others

[1405] Emotional state recognition:

[1406] Take a photo of your face with your smartphone camera.

[1407] "We analyze your facial expressions to provide a relaxing environment."

[1408] In this way, it is possible to provide optimal content based on the user's preferences and emotional state.

[1409] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[1410] Step 1:

[1411] The user responds to the survey.

[1412] Users launch the app installed on their smartphone or tablet and answer the survey questions that are presented to them. Questions include "areas of interest," "frequency of service use," and "budget range." Input: user response data, Output: response data.

[1413] Step 2:

[1414] The response data is sent from the terminal to the server.

[1415] The user device sends the survey data answered by the user in JSON format to the server. Input: User's response data, Output: Response data sent to the server.

[1416] Step 3:

[1417] The device collects voice and facial expression data and analyzes the user's emotional state.

[1418] The user device collects the user's voice data and facial expression data using a camera and microphone. An emotion engine (e.g., OpenCV) is used to perform real-time emotion analysis. Input: voice data, facial expression data, output: emotional state data.

[1419] Step 4:

[1420] Emotional state data is transmitted from the terminal to a server.

[1421] The user device sends the analyzed emotional state data to the server in JSON format. Input: Emotional state data, Output: Emotional state data sent to the server.

[1422] Step 5:

[1423] A server stores and analyzes the response data and emotional state data.

[1424] The server stores the received response data and emotional state data and analyzes them using an algorithm (e.g., a generative AI model). Based on the analysis results, it selects the optimal content that takes into account the user's preferences and emotional state. Input: response data, emotional state data, output: optimal content.

[1425] Step 6:

[1426] The server returns the selected optimal content to the user terminal.

[1427] The server sends the selected optimal content to the user's terminal in JSON format. Input: optimal content, Output: content sent to the user's terminal.

[1428] Step 7:

[1429] The user terminal visually displays the received content.

[1430] The user terminal interprets the content data received from the server and displays it in the most suitable form for the user. For example, it displays "technical premium content" or "relaxation content" on the screen. Input: Received content, Output: Visually displayed content.

[1431] 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.

[1432] 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.

[1433] 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.

[1434] 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.

[1435] 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.

[1436] 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.

[1437] 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).

[1438] 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.

[1439] 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."

[1440] 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.

[1441] 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).

[1442] 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.

[1443] 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.

[1444] 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.

[1445] 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.

[1446] 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.

[1447] 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.

[1448] 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.

[1449] 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.

[1450] 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.

[1451] 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.

[1452] The following is further disclosed regarding the above embodiment.

[1453] (Claim 1)

[1454] means for providing a set of questions for the user to answer in the questionnaire;

[1455] means for transmitting user response data to a server;

[1456] A means for storing and analyzing the response data received by the server;

[1457] A means for selecting the most suitable service based on the stored and analyzed response data;

[1458] The system includes means for returning and displaying the selected service to the user terminal.

[1459] (Claim 2)

[1460] 10. The system of claim 1, providing a set of questions including information about areas of interest, frequency of service use, and budget range.

[1461] (Claim 3)

[1462] The system according to claim 1, which uses an algorithm to automatically select the most suitable service for a user based on the user's response data.

[1463] "Example 1"

[1464] (Claim 1)

[1465] means for providing a plurality of questions for a user to answer in a survey;

[1466] means for converting the user's response data into a data format and transmitting the data to a server;

[1467] A means for storing the response data received by the server in a database and analyzing the data;

[1468] means for selecting the most suitable service for the user based on the stored and analyzed response data using a predefined algorithm;

[1469] The system includes a means for converting the selected service information into a data format, returning it to the user terminal, and displaying it.

[1470] (Claim 2)

[1471] 10. The system of claim 1, providing a plurality of questions regarding areas of interest, frequency of service use, and budget range.

[1472] (Claim 3)

[1473] 10. The system of claim 1, wherein an algorithm is used to automatically select the most suitable service based on the user's response data.

[1474] "Application Example 1"

[1475] (Claim 1)

[1476] means for providing a set of questions for the user to answer in the questionnaire;

[1477] means for transmitting user response data to a server;

[1478] A means for storing and analyzing the response data received by the server;

[1479] A means for selecting the most suitable service based on the stored and analyzed response data;

[1480] means for returning and displaying the selected service to the user terminal;

[1481] a means of recommending personalized products and services based on the user's responses;

[1482] A means for visually displaying the recommended products and services received by the user terminal to the user;

[1483] A system including:

[1484] (Claim 2)

[1485] 10. The system of claim 1, providing a set of questions including information about areas of interest, frequency of service use, and budget range.

[1486] (Claim 3)

[1487] The system according to claim 1, which uses an algorithm to automatically select the most suitable service or product for the user based on the user's response data.

[1488] "Example 2: Combining Emotion Engines"

[1489] (Claim 1)

[1490] means for providing a set of questions for the user to answer in the questionnaire;

[1491] means for transmitting user response data to a server;

[1492] A means for an emotion engine of the user terminal to recognize the user's emotional state and transmit the data to a server;

[1493] means for storing and analyzing the answer data and emotional state data received by the server;

[1494] A means for selecting an optimal service based on the stored and analyzed response data and emotional state data;

[1495] The system includes a means for returning and displaying the selected service to the user terminal.

[1496] (Claim 2)

[1497] 10. The system of claim 1, providing a set of questions including information about areas of interest, frequency of service use, and budget range.

[1498] (Claim 3)

[1499] 10. The system of claim 1, wherein an algorithm is used to automatically select the most suitable service for a user based on the user's response data and emotional state data.

[1500] "Application example 2 when combining emotion engines"

[1501] (Claim 1)

[1502] means for providing a set of questions for the user to answer in the questionnaire;

[1503] means for transmitting user response data to a server;

[1504] A means for storing and analyzing the response data received by the server;

[1505] A means for selecting the most suitable service based on the stored and analyzed response data;

[1506] a means for using an emotion engine that analyzes voice data and facial expression data of a user to recognize the user's emotional state;

[1507] means for selecting and tailoring services based on the perceived emotional state;

[1508] The system includes means for returning and displaying the selected service to the user terminal.

[1509] (Claim 2)

[1510] 10. The system of claim 1, providing a set of questions including information about areas of interest, frequency of service use, and budget range.

[1511] (Claim 3)

[1512] 10. The system of claim 1, wherein the system uses an algorithm to automatically select and deliver optimal content based on the user's response data and emotional state data. [Explanation of symbols]

[1513] 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. means for providing a set of questions for the user to answer in the questionnaire; means for transmitting user response data to a server; A means for storing and analyzing the response data received by the server; A means for selecting the most suitable service based on the stored and analyzed response data; The system includes means for returning and displaying the selected service to the user terminal.

2. The system of claim 1 provides a set of questions including information about areas of interest, frequency of service use, and budget range.

3. 2. The system according to claim 1, wherein an algorithm is used to automatically select the most suitable service for the user based on the user's response data.

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