System

Abstract

A system is provided.SOLUTION: A system comprising: means for inputting gender, age, occupation, and family structure of a user as basic information; means for transmitting data in which the basic information is input to a server; means for storing the basic information in a database; means for inputting life event information of the user; means for transmitting the life event information to the server; means for storing the life event information in the database; means for analyzing the basic information and the life event information; means for notifying the user of the generated proposal content; and means for displaying the proposal content on a user terminal.SELECTED DRAWING: Figure 1

Description

[Technical Field]

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

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

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

[0004] Many people today live busy lives overwhelmed with information, often failing to make the right decisions at the right time. Furthermore, there is a lack of effective systems for receiving suggestions and support tailored to individual life events. As a result, it becomes difficult to plan activities, and users may miss important moments and opportunities in life. There is a need for a system that can solve these problems and provide support so that users can live a fulfilling life without regrets. [Means for solving the problem]

[0005] The present invention provides a system including means for inputting basic information such as a user's gender, age, occupation, and family structure, means for transmitting the input data of the basic information to a server, means for saving the basic information in a database, means for inputting the user's life event information, means for transmitting the life event information to the server, means for saving the life event information in the database, means for analyzing the basic information and the life event information, means for generating proposals based on the analysis results, means for notifying the user of the generated proposals, and means for displaying the proposals on a user terminal. This allows the user to receive the information and proposals they need at the appropriate time, enabling them to build a lifestyle without regrets.

[0006] "Basic information" refers to basic data about individual users, such as their gender, age, occupation, and family composition.

[0007] "Life event information" is information about important events that the user has experienced in the past or important events that are planned for the future.

[0008] "Means of input" refers to the interface or device that allows users to register basic information and life event information into the system.

[0009] "Server" refers to a central processing unit for receiving, storing, and analyzing data sent by users.

[0010] A "database" is a storage system for structuring and storing basic information and life event information.

[0011] "Means for analysis" refers to software or algorithms that analyze basic information and life event information on the server and generate necessary suggestions.

[0012] "Suggestions" are specific advice and information for users that are generated based on the analysis results.

[0013] "Means of notification" refers to the communication means or protocol for transmitting the generated proposal content to the user terminal.

[0014] "User Device" means the device (e.g., smartphone or tablet) that receives and displays the Offer to the User. [Brief explanation of the drawings]

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

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

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

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

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

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

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

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

[0023] [First embodiment]

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

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

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

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

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

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

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

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

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

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

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

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

[0036] In one embodiment of the present invention, a user enters basic information such as gender, age, occupation, and family composition through a terminal. Specifically, this basic information is entered and transmitted using the LINE OA user interface. The terminal converts the entered basic information into JSON format and transmits it to a server using a secure protocol (e.g., HTTPS). The server analyzes the received JSON data and stores it in an appropriate database.

[0037] Next, the user enters life event information. For example, past travel history, children's birthdays, important events, and other information can be entered on LINE OA. The device also converts the entered life event information into JSON format and sends it to the server in the same way. The server then analyzes this life event information and stores it in a database.

[0038] The server periodically scans the database for basic information and life event information to generate personalized recommendations for each user. For example, when suggesting a user's next travel destination based on their past travel history, the server uses an analytical algorithm to suggest travel destinations, activities, hotels, etc. that match the user's preferences. These recommendations are then stored in the database by the server.

[0039] The generated suggestions are notified to the user by the server at the appropriate time. The server converts the suggestions into JSON format and sends it to the LINE OA API endpoint, which then displays the suggestions to the user on the device.

[0040] As an example, consider a scenario in which travel suggestions are made. A user registers basic information such as "35 years old, male, engineer, married, with two children (ages 8 and 5)" and also registers information about a past life event, "traveled to Hokkaido in August 2022 and enjoyed skiing." The server analyzes this information and determines that "the user enjoys winter activities (skiing)." Based on this, around June 2023, it generates information about "Hakuba in Nagano" as a "recommended ski resort for the next winter vacation (around December)." The server notifies the user of this suggestion via LINE OA, and the device receives and displays the notification.

[0041] Birthday reminder and gift suggestion scenarios are also effective. For example, if a user registers their child's birthday as "May 15, 2023," the server will generate a reminder a few days before the birthday and send a suggestion such as "A soccer ball is recommended for 8-year-old boys." In this way, users can plan and prepare for life events, ensuring a regret-free experience.

[0042] As described above, the present invention realizes a system that provides useful information to users at appropriate times through each step of user information registration, analysis, proposal generation, and notification.

[0043] The processing flow will be explained below.

[0044] Step 1:

[0045] Users enter basic information such as gender, age, occupation, and family composition through the LINE OA user interface. The entered information is confirmed by pressing the send button.

[0046] Step 2:

[0047] The device converts the input data into JSON format, which is then sent to the server via a secure protocol (e.g., HTTPS).

[0048] Step 3:

[0049] The server parses the received JSON data and extracts information such as gender, age, occupation, family composition, etc. The extracted information is stored in a database.

[0050] Step 4:

[0051] The user enters information about life events such as past travel history and children's birthdays on LINE OA. After entering the information, the user presses the send button to confirm.

[0052] Step 5:

[0053] The device converts the entered life event information into JSON format and sends it to the server using a secure protocol.

[0054] Step 6:

[0055] The server parses the received life event information and extracts information such as the event name, date, location, and specific activity details. The extracted information is stored in a database.

[0056] Step 7:

[0057] The server periodically scans the database for basic and life event information, using SQL queries to retrieve recently updated user information.

[0058] Step 8:

[0059] The server analyzes the acquired user information and generates the necessary suggestions, for example, by running an algorithm that suggests the next travel destination based on the user's past travel history.

[0060] Step 9:

[0061] The server saves the generated suggestion to the database. It inserts a record into the suggestion table containing the user ID, suggestion, and suggestion date and time.

[0062] Step 10:

[0063] The server executes a query to retrieve from the database the proposals that need to be notified. It also extracts proposals that have not yet been notified.

[0064] Step 11:

[0065] The server converts the suggestion content into JSON format and sends it to the LINE OA API endpoint, where it is sent to the user as a notification.

[0066] Step 12:

[0067] The device will notify the user of the received suggestion, which will be displayed as a message in the user's chat interface using LINE OA's notification function.

[0068] Step 13:

[0069] The user reviews the recommendations and takes action as needed, for example, by searching or booking a travel destination.

[0070] Example 1

[0071] 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."

[0072] Conventional systems have had difficulty efficiently collecting, storing, and analyzing users' basic information and life event information to provide optimal suggestions to users. Furthermore, personalized suggestions based on users' preferences and past behavioral history were rarely provided in real time. This meant that users could not receive information and services tailored to them at the appropriate time, resulting in low convenience.

[0073] 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.

[0074] In this invention, the server includes means for inputting basic information such as a user's gender, age, occupation, and family structure, means for transmitting the input data of the basic information to an information processing device, means for saving the basic information in a data storage, means for inputting the user's life event information, means for transmitting the life event information to the information processing device, means for saving the life event information in the data storage, means for analyzing the basic information and the life event information, means for generating proposal content based on the analysis results using a generative model, means for notifying the user of the generated proposal content, and means for displaying the proposal content on the user's device. This makes it possible to efficiently collect, save, and analyze the user's basic information and life event information, and to make personalized proposals to the user at appropriate times.

[0075] "Basic information" refers to basic attribute information such as the user's gender, age, occupation, and family structure.

[0076] "Life event information" refers to information related to the user's life, such as past travel history, children's birthdays, and important events.

[0077] "Information processing device" refers to a computer system that receives, analyzes, stores, and processes data sent by a user.

[0078] "Data storage" refers to databases and other storage devices for storing baseline and life event information.

[0079] "Means of analysis" refers to algorithms and software that process basic information and life event information to extract information that is useful to the user.

[0080] "Generative models" refer to machine learning models and AI systems that automatically create personalized suggestions based on user information.

[0081] "Suggested content" refers to information such as specific travel destinations, activities, accommodations, etc. that is provided to the user based on the analysis results.

[0082] "Means for notifying" refers to a message delivery system or notification function for informing the user of the generated proposal content.

[0083] "User device" refers to a terminal such as a smartphone or tablet used by a user.

[0084] MODE FOR CARRYING OUT THE INVENTION

[0085] The present invention is a system for collecting, storing, and analyzing basic information and life event information of a user, and making optimal suggestions to the user. Specific embodiments of the present invention will be described below.

[0086] Program processing

[0087] Hardware and Software Use

[0088] The system utilizes the following hardware and software:

[0089] Device: Smartphone or tablet (e.g. iOS device, Android device)

[0090] Communication protocol: HTTPS

[0091] User Interface: Messaging Application

[0092] Data format: JSON

[0093] Server: Cloud server (e.g. AWS, Google Cloud)

[0094] Data storage: Relational database (e.g. MySQL, PostgreSQL)

[0095] Analysis algorithm: Machine learning model

[0096] Program processing flow

[0097] The user first inputs basic information via the terminal, including gender, age, occupation, family composition, etc. This information is input using the interface of the messaging application.

[0098] The device converts the input basic information into JSON format and sends it to the server using the HTTPS protocol. The server receives this JSON data, analyzes it, and saves it in data storage.

[0099] Next, the user enters life event information, which can include past travel history, children's birthdays, important events, etc. This information is also entered through the messaging application.

[0100] The device converts the life event information into JSON format and sends it to the server, which then analyzes the information and stores it in data storage.

[0101] The server periodically scans the user's basic and life event information and uses analytical algorithms to generate personalized suggestions for each user, using machine learning models.

[0102] For example, if the user is a 35-year-old male engineer, married with two children, and has previously enjoyed skiing in Hokkaido, the server will analyze this information and determine that "the user enjoys winter activities (skiing)."Then, it will suggest "mountain tourist destinations" as recommended ski resorts for the next winter vacation.

[0103] The generated suggestions are converted to JSON format by the server and sent to the messaging application's API endpoint. The device receives the suggestions sent from the server and notifies and displays them to the user.

[0104] Specific examples

[0105] As a specific scenario, consider "travel proposal."

[0106] Let's say a user registers basic information such as "35 years old, male, engineer, married, two children (ages 8 and 5)" and life event information such as "traveled to Hokkaido in August 2022 and enjoyed skiing." In this case, the server analyzes this information and suggests "mountain tourist spots" as "recommended ski resorts for your next winter vacation."

[0107] Example prompt sentence:

[0108] "A user, a 35-year-old male engineer, married with two children (ages 8 and 5), has registered information that he traveled to Hokkaido in August 2022 and enjoyed skiing. Please suggest ski resorts that you would recommend for this user for their next winter vacation."

[0109] In this way, the present invention realizes a system that provides users with personalized and useful information at the appropriate time through each step of collecting, storing, analyzing, and generating suggestions about the user.

[0110] The flow of the identification process in the first embodiment will be described with reference to FIG.

[0111] Step 1:

[0112] Enter basic information

[0113] Users enter basic information such as gender, age, occupation, and family status using the messaging application interface.

[0114] Input: Gender, age, occupation, family composition

[0115] Output: Data that contains basic information from the user

[0116] What happens: A user manually enters the required basic information into the messaging application interface.

[0117] Step 2:

[0118] Conversion of basic information

[0119] The terminal converts the basic information entered into JSON format.

[0120] Input: Basic information entered by the user

[0121] Output: Basic information converted to JSON format

[0122] Specific operation: The terminal reads the data entered by the user and converts it to JSON format using the JSON.stringify function.

[0123] Step 3:

[0124] Send basic information

[0125] The terminal transmits the converted basic information to the server using the HTTPS protocol.

[0126] Input: Basic information in JSON format

[0127] Output: Basic information sent to the server

[0128] Specific operation: The terminal sends the converted JSON data as a POST request to a specific endpoint on the server using HTTPS.

[0129] Step 4:

[0130] Saving basic information

[0131] The server analyzes the received JSON data of the basic information and saves it in data storage.

[0132] Input: Basic information received from the device in JSON format

[0133] Output: Basic information stored in data storage

[0134] Specific operation: The server parses the received JSON data using the JSON.parse function and issues an INSERT statement to the database to save the information.

[0135] Step 5:

[0136] Entering life event information

[0137] Users enter information about life events such as past travel history, children's birthdays, and important events through messaging applications.

[0138] Input: Travel history, birthdays, and other life event information

[0139] Output: Data containing life event information from users

[0140] What happens: A user manually enters life event information into a messaging application interface.

[0141] Step 6:

[0142] Life event information conversion

[0143] The device converts the entered life event information into JSON format.

[0144] Input: Life event information entered by the user

[0145] Output: Life event information converted to JSON format

[0146] Specific operation: The terminal reads the data entered by the user and converts it to JSON format using the JSON.stringify function.

[0147] Step 7:

[0148] Sending life event information

[0149] The terminal transmits the converted life event information to the server using the HTTPS protocol.

[0150] Input: Life event information in JSON format

[0151] Output: Life event information sent to the server

[0152] Specific operation: The terminal sends the converted JSON data as a POST request to a specific endpoint on the server using HTTPS.

[0153] Step 8:

[0154] Saving life event information

[0155] The server analyzes the received JSON data of the life event information and stores it in data storage.

[0156] Input: JSON format life event information received from the device

[0157] Output: Life event information saved in data storage

[0158] Specific operation: The server parses the received JSON data using the JSON.parse function and issues an INSERT statement to the database to save the information.

[0159] Step 9:

[0160] Proposal generation

[0161] The server periodically scans basic information and life event information and uses an analytical algorithm to generate recommendations for each user.

[0162] Input: Basic information and life event information obtained from data storage

[0163] Output: Generated proposals

[0164] Specific operation: The server retrieves user information from the database using a SELECT statement, sends a prompt to the generative AI model, analyzes the generated response, and constructs a proposal.

[0165] Example prompt sentence:

[0166] "A user, a 35-year-old male engineer, married with two children (ages 8 and 5), has registered information that he traveled to Hokkaido in August 2022 and enjoyed skiing. Please suggest ski resorts that you would recommend for this user for their next winter vacation."

[0167] Step 10:

[0168] Notification of proposal details

[0169] The server converts the generated suggestions into JSON format and sends them to the messaging application's API endpoint.

[0170] Input: Generated proposal

[0171] Output: JSON format of the proposal sent to the user's device

[0172] Specific behavior: The server converts the proposal into JSON format using the JSON.stringify function and sends it to a specific API endpoint of the messaging application.

[0173] Step 11:

[0174] Viewing Proposals

[0175] The terminal receives the proposal content sent from the server, notifies the user, and displays it.

[0176] Input: JSON format of the proposal received from the server

[0177] Output: Proposal displayed on the user's device

[0178] Specific operation: The device parses the received JSON data and notifies and displays it to the user through the messaging application.

[0179] (Application example 1)

[0180] 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."

[0181] In recent years, a wide variety of content has been provided on the Internet, and there is a demand for appropriate content recommendations based on individual user preferences. However, conventional systems have not been able to effectively utilize a user's basic information and life event information to recommend optimal content. This makes it difficult for users to always access content that is appropriate for them.

[0182] 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.

[0183] In this invention, the server includes means for inputting basic information such as a user's gender, age, occupation, and family structure, means for transmitting the input data of the basic information to the server, means for saving the basic information in a database, means for inputting the user's life event information, means for transmitting the life event information to the server, means for saving the life event information in the database, means for analyzing the basic information and the life event information, means for generating proposals based on the analysis results, means for notifying the user of the generated proposals, means for displaying the proposals on the user terminal, means for generating video and article recommendations based on the user's preferences, means for displaying the recommendations using the LINE API, means for optimizing the proposals using a generative AI model, and means for recommending the content using prompts to the generative AI model. This makes it possible to recommend appropriate content at the optimal time based on the user's basic information and life event information, thereby significantly improving user convenience.

[0184] "Basic information" refers to personal information such as the user's gender, age, occupation, and family composition.

[0185] "Life event information" is information about important events that the user has experienced in the past and events that are scheduled for the future.

[0186] "Server" refers to a computer system that receives basic information and life event information provided by users, and analyzes, stores, and notifies them.

[0187] A "database" is an information storage system that stores a user's basic information and life event information and can retrieve it as needed.

[0188] "Analysis" is a process in which the server understands the user's preferences and needs based on basic information and life event information, and generates appropriate suggestions.

[0189] "Suggestions" are information on travel destinations, activities, hotels, etc., as well as recommended videos and articles, provided to users based on the analysis results.

[0190] "User Device" means a device, such as a smartphone or tablet, that a User uses to receive and display Suggestions.

[0191] "Notification" refers to the act of sending information by the server to inform the user of the proposed content.

[0192] A "generative AI model" is an artificial intelligence model used to understand a user's preferences and needs and generate optimal suggestions.

[0193] A "prompt sentence" is an input sentence used to provide a generative AI model with the necessary information to generate a specific suggestion.

[0194] The system for realizing this invention begins with the user entering basic information and life event information. The user enters basic information such as gender, age, occupation, and family composition using a dedicated application. This application is installed on the user's device, such as a smartphone or tablet.

[0195] The basic information entered by the user is converted to JSON format within the application and sent to the server using the secure HTTPS protocol. The server receives this data and stores it in the appropriate database. Similarly, the user also enters information about past travel history and important life events. This information is also converted to JSON format and sent to the server to be stored in the database.

[0196] The server periodically scans basic information and life event information for each user and performs an analysis. This analysis is performed using a generative AI model. Based on the user's past behavior and preferences, the generative AI model generates the next content recommendation. This content is organized into a recommended list of videos and articles.

[0197] For example, if a user registers basic information such as "35 years old, male, engineer, married, with two children (ages 8 and 5)" and a past life event such as "traveled to Hokkaido in August 2022 and enjoyed skiing," the server will analyze this information and conclude that "the user enjoys winter activities (skiing)." Based on this, the server will recommend movies and video content such as "recommended ski trips" and ski-related videos.

[0198] The generated suggestions are sent to the user's device by the server using the LINE API, etc., and are notified at the appropriate time. By displaying them on the user's device, the user can instantly watch the appropriate content.

[0199] An example of a specific prompt for a generative AI model is as follows:

[0200] User Information: {

[0201] Age: 35,

[0202] "Gender": "Male",

[0203] "Occupation": "Engineer",

[0204] "Family Composition": {

[0205] "Married": True,

[0206] "Children": 2

[0207] },

[0208] "Life Events": [

[0209] {

[0210] "Event": "Traveled to Hokkaido in August 2022 and enjoyed skiing",

[0211] "Activity": "Skiing"

[0212] }

[0213] ]

[0214] }

[0215] What's your recommended next travel destination and activity?

[0216] This prompt enables the generative AI model to generate recommendations that are optimized for the user's preferences, improving the actual user experience and allowing users to easily find content that matches their lifestyle and preferences.

[0217] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[0218] Step 1:

[0219] The user enters basic information.

[0220] Users use an application installed on their smartphone or tablet to enter basic information such as their gender, age, occupation, and family composition. The entered data is converted into JSON format and sent to the server in the next step.

[0221] Step 2:

[0222] Send basic information to the server.

[0223] The terminal converts the basic information entered by the user into JSON format and sends it to the server via the HTTPS protocol. The server receives this data and stores it in the appropriate database. The input JSON data is in the following format:

[0224] json

[0225] {

[0226] "age": 35,

[0227] "gender": "male",

[0228] "occupation": "engineer",

[0229] "family": {"married": true, "children": 2}

[0230] }

[0231] Step 3:

[0232] The user enters life event information.

[0233] Users enter information about life events such as past travel history and children's birthdays through the application, which is also converted into JSON format and sent to the server in the next step.

[0234] Step 4:

[0235] The life event information is transmitted to the server.

[0236] The device converts the life event information entered by the user into JSON format and sends it to the server. The server receives this data and stores it in the appropriate database. The input JSON data is in the following format:

[0237] json

[0238] {

[0239] "life_events": [

[0240] {"event": "traveled to Hokkaido", "date": "2022-08-15", "activity": "skiing"}

[0241] ]

[0242] }

[0243] Step 5:

[0244] Analysis of basic information and life event information.

[0245] The server periodically scans the basic information and life event information stored in the database and automatically analyzes it. The analysis uses a generative AI model to identify the user's preferences and patterns. The analysis is performed by inputting the prompt sentence into the generative AI model.

[0246] User Information: {

[0247] Age: 35,

[0248] "Gender": "Male",

[0249] "Occupation": "Engineer",

[0250] "Family Composition": {

[0251] "Married": True,

[0252] "Children": 2

[0253] },

[0254] "Life Events": [

[0255] {

[0256] "Event": "Traveled to Hokkaido in August 2022 and enjoyed skiing",

[0257] "Activity": "Skiing"

[0258] }

[0259] ]

[0260] }

[0261] What's your recommended next travel destination and activity?

[0262] Step 6:

[0263] Proposal generation.

[0264] Based on the results of the analysis using the generative AI model, the server generates content (videos and articles) that match the user's interests. For example, if a user loves skiing, it will recommend videos about their next ski trip.

[0265] Step 7:

[0266] Notification of proposal contents.

[0267] The server converts the generated suggestions into JSON format and sends them to the user's device using the LINE API. This allows the user to view the recommended content on their smartphone or tablet. The JSON data of the notification is in the following format:

[0268] json

[0269] {

[0270] "type": "video",

[0271] "title": "Next Skiing Adventure in Nagano",

[0272] "url": "https: / / content.example.com / skiing_nagano"

[0273] }

[0274] Step 8:

[0275] Displaying suggestions on the user's device.

[0276] The device displays the suggestions received from the server to the user, allowing the user to access and watch the suggested videos or articles via push notifications.

[0277] 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.

[0278] In one embodiment of the present invention, a user enters basic information such as gender, age, occupation, and family composition through a terminal. Specifically, this basic information is entered using the LINE OA user interface and confirmed by pressing the send button. The terminal converts the entered basic information into JSON format and sends it to the server using a secure protocol (e.g., HTTPS). The server parses the received JSON data and stores it in a database.

[0279] Next, the user enters life event information. For example, past travel history, children's birthdays, important events, and other information can be entered on LINE OA. The device also converts the entered life event information into JSON format and sends it to the server in the same way. The server then analyzes this life event information and stores it in a database.

[0280] The server periodically scans the database for basic information and life event information to generate personalized recommendations for each user. For example, when suggesting a user's next travel destination based on their past travel history, the server uses an analytical algorithm to suggest travel destinations, activities, hotels, etc. that match the user's preferences. These recommendations are then stored in the database by the server.

[0281] The incorporation of an emotion engine also enables more personalized suggestions by analyzing user emotions. For example, it analyzes emotions from a user's text or voice input and optimizes the suggestions based on the results. The emotion engine generates suggestions that reflect the user's mood and psychological state, providing more appropriate information for the user.

[0282] The generated suggestions are notified to the user by the server at the appropriate time. The server converts the suggestions into JSON format and sends it to the LINE OA API endpoint. The device then notifies and displays the suggestions to the user.

[0283] As an example, consider a scenario in which travel suggestions are made that take emotions into consideration. Suppose a user registers basic information such as "35 years old, male, engineer, married, with two children (ages 8 and 5)" and also registers information such as "I enjoyed skiing in Hokkaido in August 2022" as a past life event. If the user further enters text such as "I've been feeling stressed lately," the server analyzes this emotional information using its emotion engine and determines that "I need a relaxing travel destination." Based on this, it generates a suggestion for "A relaxing hot spring inn for your next winter vacation." The server notifies the user of this suggestion via LINE OA, and the device receives and displays the notification.

[0284] The emotion engine's functionality also improves birthday reminder and gift suggestion scenarios. For example, if a user registers their child's birthday, "May 15, 2023," and asks, "What is my child interested in these days?", the emotion engine will analyze the child's recent interests from past conversation history. As a result, it will generate a suggestion that "8-year-old boys have recently become interested in soccer," and notify the user that "a soccer ball is recommended" along with the reminder. In this way, users can plan ahead and prepare for life events, and also choose appropriate gifts that are in line with their child's interests.

[0285] As described above, the present invention realizes a system that provides useful and personalized information to users at the appropriate time through each step of user information registration, analysis, emotion analysis using an emotion engine, proposal generation, and notification.

[0286] The processing flow will be explained below.

[0287] Step 1:

[0288] Users enter basic information such as gender, age, occupation, and family composition through the LINE OA user interface. The input information is confirmed by pressing the send button.

[0289] Step 2:

[0290] The device converts the input data into JSON format, which is then sent to the server via a secure protocol (e.g., HTTPS).

[0291] Step 3:

[0292] The server parses the received JSON data and extracts information such as gender, age, occupation, family composition, etc. The extracted information is stored in a database.

[0293] Step 4:

[0294] The user enters information about life events such as travel history and birthdays on LINE OA. After entering the information, the user presses the send button to confirm.

[0295] Step 5:

[0296] The device converts the entered life event information into JSON format and sends it to the server using a secure protocol.

[0297] Step 6:

[0298] The server parses the received life event information and extracts the event name, date, location, and specific activity details. The extracted information is stored in a database.

[0299] Step 7:

[0300] Users input their current emotional state through text or voice. This emotional information is sent via LINE OA.

[0301] Step 8:

[0302] The device converts the emotional information into JSON format and sends it to the server using a secure protocol.

[0303] Step 9:

[0304] The emotion information received by the server is analyzed by the emotion engine, and the analysis result is the user's emotional state (e.g., stress, relaxation, excitement, etc.).

[0305] Step 10:

[0306] The server periodically scans the database for basic information, life event information, and emotion information and executes SQL queries to retrieve recently updated information.

[0307] Step 11:

[0308] The server analyzes the acquired user information and generates suggestions based on the results of the emotion engine. For example, it suggests relaxing travel destinations based on the user's past travel history and current emotional state.

[0309] Step 12:

[0310] The server saves the generated proposal to the database. It inserts a record into the proposal table containing the user ID, proposal content, and proposal date and time.

[0311] Step 13:

[0312] The server executes a query to obtain proposals that require notification from the database, and extracts proposals that have not yet been notified.

[0313] Step 14:

[0314] The server converts the proposal content into JSON format and sends it to the LINE OA API endpoint. The proposal content is then sent to the user as a notification.

[0315] Step 15:

[0316] The device notifies the user of the received suggestion, which is displayed as a message in the user's chat interface using the LINE OA notification function.

[0317] Step 16:

[0318] The user reviews the recommendations and takes action as needed, for example, by searching or booking a travel destination.

[0319] As described above, the present invention realizes a system that provides useful and personalized information to users at appropriate times through each step of user information registration, analysis, emotion analysis using an emotion engine, proposal generation, and notification.

[0320] Example 2

[0321] 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."

[0322] Conventional personalization systems typically simply analyze a user's basic information and life event information and make suggestions based on that. However, because the system does not reflect the user's emotions or psychological state, the suggestions often do not match the user's current mood or psychological state. As a result, the system may make suggestions that are not useful to the user, reducing the system's value.

[0323] The identification process by the identification processing unit 290 of the data processing device 12 in Example 2 is realized by the following means. In this invention, the server includes means for inputting basic information such as the user's gender, age, occupation, and family structure, means for transmitting the input data of the basic information to the server, means for saving the basic information in a database, means for inputting the user's life event information, means for transmitting the life event information to the server, means for saving the life event information in the database, means for analyzing the basic information and the life event information, means for generating proposal content based on the analysis results, means for notifying the user of the generated proposal content, means for displaying the proposal content on the user terminal, and means for analyzing the user's emotions using an emotion analysis engine and optimizing the proposal content. This makes it possible to provide more personalized and useful information that takes into account the user's current emotions and psychological state.

[0324] "Basic information" refers to basic information about the user, such as the user's gender, age, occupation, and family composition.

[0325] "Life event information" is information about events related to the user's life, such as past travel history and important events.

[0326] A "terminal" is a device used by a user to input information and communicate with a server.

[0327] The "server" is a central processing unit that analyzes received data, generates proposals, and notifies them.

[0328] "Database" is a data management system for storing basic information and life event information.

[0329] An "analysis algorithm" is a program that analyzes user information and generates appropriate suggestions.

[0330] "Suggestions" are information or recommendations generated based on the analysis results and provided to users.

[0331] An "emotion analysis engine" is software that analyzes emotions from a user's text or voice input and optimizes the content of suggestions.

[0332] The "HTTPS protocol" is a communication protocol for securely transmitting data.

[0333] "JSON format" is a data exchange format for structuring user input information and sending it to a server.

[0334] In an embodiment of the present invention, a user first inputs basic information using a terminal, such as the user's gender, age, occupation, and family composition, through the LINE Official Account (LINE OA) interface, and then confirms the information by pressing the send button.

[0335] The device converts the input basic information into JSON format and sends it to the server using the HTTPS protocol. The server analyzes the received JSON data and stores the basic information in a database.

[0336] Next, the user enters life event information. This is done by entering information such as past travel history and important events on LINE OA. Here too, the device converts the entered information into JSON format and sends it to the server. The server also receives the life event information, analyzes it, and stores it in a database.

[0337] Based on this basic information and life event information, the server uses an analysis algorithm to generate suggestions. As a specific example, it is possible to suggest the next travel destination based on the user's past travel history. For example, if a user has registered life event information such as "enjoyed skiing in Hokkaido in August 2022," the server could generate a "relaxing trip to a hot spring resort" for the next trip.

[0338] Furthermore, by using an emotion analysis engine, the present invention can analyze the user's emotions and provide more personalized suggestions. It is possible to extract emotions from the user's text or voice input and make optimal suggestions based on that state. For example, if a user inputs, "I've been feeling stressed lately," the system analyzes that emotional information and determines, "I need a relaxing travel destination."

[0339] The generated suggestions are notified to the user by the server at the appropriate time. The server converts the suggestions into JSON format and sends it to the LINE OA API endpoint. The device receives this notification and displays the suggestions to the user.

[0340] As a specific example, consider the case where a user registers basic information such as "35 years old, male, engineer, married, with two children (ages 8 and 5)" and a past life event such as "I enjoyed skiing in Hokkaido in August 2022." If the user further enters text such as "I've been feeling stressed lately," the server will use its emotion analysis engine to determine that "I need a relaxing vacation destination" and suggest "A relaxing hot spring inn for your next winter vacation." The user is notified of this suggestion via LINE OA, and the device receives and displays the notification.

[0341] An example of a prompt sentence might be:

[0342] Example 1: Travel proposal

[0343] Let's say the user is a 35-year-old male engineer, married with two children (ages 8 and 5), and wants to go skiing in Hokkaido in August 2022. He has mentioned that he has been feeling stressed recently. Please suggest a travel destination.

[0344] Example 2: Birthday reminder

[0345] A user has registered their child's birthday, May 15, 2023, and asked about their child's recent interests. Analyze their past conversation history to find out what their child is interested in these days and generate suggestions.

[0346] In this way, the present invention realizes a system that provides useful and personalized information to users at the appropriate time through each step of user information registration, analysis, analysis using a sentiment analysis engine, proposal generation, and notification.

[0347] The flow of the identification process in the second embodiment will be described with reference to FIG.

[0348] Step 1:

[0349] Enter and submit basic information

[0350] The user uses the device to enter basic information (gender, age, occupation, family composition, etc.) into the LINE Official Account (LINE OA) interface. When the send button is pressed, the device converts this information into JSON format. The converted JSON data is sent to the server via the HTTPS protocol.

[0351] Input: Gender, age, occupation, family composition

[0352] Data processing: Convert input information into JSON format

[0353] Output: Send JSON data to the server

[0354] Specific operation: The user enters information such as "Gender: Male" and "Age: 35" into LINE OA and clicks the send button. The device acquires this information, converts it into JSON format data, and sends it to the server via HTTPS.

[0355] Step 2:

[0356] Receiving and storing basic information

[0357] The server analyzes the received basic information in JSON format and stores the analysis results in a database.

[0358] Input: Basic information in JSON format

[0359] Data processing: Parsing JSON data

[0360] Output: Analyzed basic information is saved in a database

[0361] Specific operation: The server analyzes the received JSON data and stores information such as "Gender: Male" and "Occupation: Engineer" in a database.

[0362] Step 3:

[0363] Enter and submit life event information

[0364] Users use their devices to input life event information (such as past travel history or important events) into the LINE OA interface. When they press the send button, the device also converts this information into JSON format and sends it to the server.

[0365] Input: Life event information (travel history, important events)

[0366] Data processing: Convert input information into JSON format

[0367] Output: Send JSON data to the server

[0368] Specific operation: The user enters information such as "Enjoyed skiing in Hokkaido in August 2022" or "Child's birthday: May 15, 2023" into LINE OA and clicks the send button. The device converts the information into JSON format and sends it to the server via HTTPS.

[0369] Step 4:

[0370] Receiving and storing life event information

[0371] The server analyzes the received JSON formatted life event information and stores the analysis results in a database.

[0372] Input: Life event information in JSON format

[0373] Data processing: Parsing JSON data

[0374] Output: Analyzed life event information saved in a database

[0375] Specific operation: The server analyzes the received JSON data and saves information such as "Enjoyed skiing in Hokkaido in August 2022" and "Child's birthday: 5 / 15 / 2023" in a database.

[0376] Step 5:

[0377] Regularly scan your data and generate recommendations

[0378] The server periodically scans the database for basic information and life event information. Based on this data, an analytical algorithm is used to generate personalized recommendations for each user. For example, it may suggest a next trip destination based on past travel history.

[0379] Input: Basic information, life event information

[0380] Data processing: Scanning data and generating recommendations using analytical algorithms

[0381] Output: Suggested content (next travel destination, etc.)

[0382] Specific operation: The server periodically scans the database and analyzes information such as "gender: male," "occupation: engineer," and "past travel history," generating suggestions such as "next travel destination: hot spring resort."

[0383] Step 6:

[0384] Optimizing proposal content using a sentiment analysis engine

[0385] The server analyzes the user's emotions from text and voice input, and optimizes the suggestions based on the results of this analysis. For example, if a user writes, "I've been feeling stressed lately," the server will suggest "relaxing travel destinations" based on that emotion.

[0386] Input: User text input, voice input

[0387] Data processing: Sentiment analysis using an emotion analysis engine

[0388] Output: Optimized proposals

[0389] Specific operation: If a user enters text such as "I've been feeling stressed lately," the sentiment analysis engine will determine that "I need a relaxing travel destination" and suggest "a relaxing hot spring inn in a hot spring resort."

[0390] Step 7:

[0391] Notification of proposal details

[0392] The server converts the suggestions into JSON format and sends them to the LINE OA API endpoint. The device receives this notification and displays the suggestions to the user.

[0393] Input: Optimized suggestions

[0394] Data processing: Convert proposals into JSON format

[0395] Output: Notify and display on user terminal

[0396] Specific operation: The server sends the suggestion to the LINE OA API in JSON format, saying, "Your next travel destination is a hot spring resort." The device receives the notification and displays a message to the user on LINE OA saying, "We suggest a hot spring inn where you can relax during your next winter vacation."

[0397] (Application example 2)

[0398] 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."

[0399] Conventional systems provide fixed recommendations based on a user's basic information and life event information, making it difficult to provide personalized recommendations that reflect the user's real-time emotions and psychological state. Furthermore, even in the shopping experience at a physical store, recommendations that take into account the user's momentary emotions and current mood are insufficient, and optimal recommendations to increase user satisfaction are not provided.

[0400] 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.

[0401] In this invention, the server includes a means for analyzing a user's emotions, a means for optimizing the content of suggestions based on the emotion analysis results, and a means for making shopping suggestions in real time based on the user's input, thereby enabling personalized shopping suggestions based on the user's emotions and psychological state.

[0402] "Basic information" refers to personal information such as the user's gender, age, occupation, and family composition.

[0403] "Life event information" refers to information related to the user's life, such as the user's past travel history or important family events.

[0404] "Emotion analysis means" refers to algorithms or technologies that determine a user's emotional state from text or voice input.

[0405] "Suggestions based on analysis results" refers to recommendations and information generated based on the basic information and life event information provided by the user, as well as the results of sentiment analysis.

[0406] "User Device" refers to the device a User uses to enter information or receive suggestions, such as a smartphone, tablet, or computer.

[0407] "Means of notification" refers to the communication means or technology used to notify users of the generated suggestions.

[0408] "Real-time shopping suggestion methods" refers to technologies and algorithms that instantly suggest appropriate products or services based on a user's current input.

[0409] "Means for optimizing proposal content based on the results of emotion analysis" refers to technologies and mechanisms that adjust proposal content to be more personalized according to the user's emotional state.

[0410] A specific embodiment of the present invention is a shopping support system for smartphone-based users, which collects basic information and life event information of users and performs emotion analysis to provide personalized product suggestions in real time.

[0411] The system includes the following processes:

[0412] First, the user enters basic information through a smartphone app, including gender, age, occupation, and family composition. The entered information is converted to JSON format and sent to the server using the HTTPS protocol. The server then analyzes the received JSON data and stores it in a database.

[0413] Next, the user enters life event information, such as past travel history or important family events. This life event information is also converted into JSON format and sent to the server using the HTTPS protocol. The server then stores this information in a database.

[0414] Next, emotion analysis is performed. The user's current emotional state is determined by analyzing the text and voice data entered by the user through the smartphone app. For example, if a user enters "I've been feeling stressed lately," the emotion analysis engine will analyze this and output the result "I'm feeling stressed." The analysis results are stored on the server.

[0415] The server scans the database for basic information, life event information, and sentiment analysis results, and generates recommendations based on this data. These recommendations include products and services that best fit the user's behavior, preferences, and current state of mind. This information is also converted into JSON format and sent to the smartphone app.

[0416] The smartphone app will then present the suggested products to the user. For example, if the app detects that the user has been feeling stressed recently, it will suggest relaxing aroma candles or hot spring inns. The user can then use these suggestions to help them choose products and services.

[0417] This embodiment of the present invention is programmed using the Python language. It is recommended to use an external sentiment analysis API or generative AI model for sentiment analysis. For example, Google Cloud Natural Language API or IBM Watson Natural Language Understanding can be used. Data is transmitted and received securely using the HTTPS protocol.

[0418] For example, if a user, a 35-year-old male engineer with a wife and an 8-year-old child, enters into the app that he has been feeling stressed lately, the system will analyze this and suggest products and services that have a relaxing effect. As a result, the user will be shown "relaxing aroma candles" and "hot spring hotel reservation information."

[0419] An example of a prompt is as follows:

[0420] Enter basic user information:

[0421] Name: Yamada Taro

[0422] Age: 35

[0423] Gender: Male

[0424] Occupation: Engineer

[0425] Family: Wife and 8-year-old child

[0426] Emotional state: I've been feeling stressed lately

[0427] In this way, the present invention provides a system that improves the user's shopping experience by making optimal suggestions in real time based on the user's basic information, life event information, and emotion analysis results.

[0428] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[0429] Step 1:

[0430] The user opens the smartphone app and enters basic information (gender, age, occupation, family composition). After entering the information, this information is converted into JSON format. The converted JSON data is sent to the server using the HTTPS protocol. The server analyzes the received JSON data and stores it in a database.

[0431] Input: User basic information

[0432] Data processing: Convert to JSON format

[0433] Output: Converted basic information JSON data sent to the server

[0434] Step 2:

[0435] Next, the user inputs life event information (such as past travel history or important family events), which is also converted into JSON format and sent to the server using the HTTPS protocol. The server then stores the received life event information in a database.

[0436] Input: User's life event information

[0437] Data processing: Convert to JSON format

[0438] Output: Converted life event information JSON data sent to the server

[0439] Step 3:

[0440] The user inputs their emotional state into the app, such as "I've been feeling stressed lately." The emotion analysis engine analyzes this text data and determines the user's emotional state as "feeling stressed." The analysis results are stored on the server.

[0441] Input: Text data of the user's emotional state

[0442] Data processing: Analysis using emotion analysis engine

[0443] Output: Save analysis results to the server

[0444] Step 4:

[0445] The server periodically scans basic information, life event information, and emotion analysis results, analyzes the scanned data, and generates optimal suggestions for the user.

[0446] Input: Basic information stored in the database, life event information, emotion analysis results

[0447] Data processing: Regular scanning and data analysis

[0448] Output: Generate optimal proposals

[0449] Step 5:

[0450] The generated suggestions are converted into JSON format and sent to the user's smartphone app, which then receives the notification and displays the suggestions to the user.

[0451] Input: Generated proposal

[0452] Data processing: Convert to JSON format and notify

[0453] Output: Display of suggestions on a smartphone app

[0454] Step 6:

[0455] Users can choose an action based on the suggestions, such as purchasing a relaxing aroma candle or booking a hot spring resort.

[0456] Input: Proposal

[0457] Data processing: User selection

[0458] Output: Example of selected action execution

[0459] 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.

[0460] 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.

[0461] 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.

[0462] [Second embodiment]

[0463] FIG. 3 shows an example of the configuration of a data processing system 210 according to the second embodiment.

[0464] 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.

[0465] 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).

[0466] 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.

[0467] 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.

[0468] 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).

[0469] 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.

[0470] 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.

[0471] 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.

[0472] 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.

[0473] 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.

[0474] 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."

[0475] In one embodiment of the present invention, a user enters basic information such as gender, age, occupation, and family composition through a terminal. Specifically, this basic information is entered and transmitted using the LINE OA user interface. The terminal converts the entered basic information into JSON format and transmits it to a server using a secure protocol (e.g., HTTPS). The server analyzes the received JSON data and stores it in an appropriate database.

[0476] Next, the user enters life event information. For example, past travel history, children's birthdays, important events, and other information can be entered on LINE OA. The device also converts the entered life event information into JSON format and sends it to the server in the same way. The server then analyzes this life event information and stores it in a database.

[0477] The server periodically scans the database for basic information and life event information to generate personalized recommendations for each user. For example, when suggesting a user's next travel destination based on their past travel history, the server uses an analytical algorithm to suggest travel destinations, activities, hotels, etc. that match the user's preferences. These recommendations are then stored in the database by the server.

[0478] The generated suggestions are notified to the user by the server at the appropriate time. The server converts the suggestions into JSON format and sends it to the LINE OA API endpoint, which then displays the suggestions to the user on the device.

[0479] As an example, consider a scenario in which travel suggestions are made. A user registers basic information such as "35 years old, male, engineer, married, with two children (ages 8 and 5)" and also registers information about a past life event, "traveled to Hokkaido in August 2022 and enjoyed skiing." The server analyzes this information and determines that "the user enjoys winter activities (skiing)." Based on this, around June 2023, it generates information about "Hakuba in Nagano" as a "recommended ski resort for the next winter vacation (around December)." The server notifies the user of this suggestion via LINE OA, and the device receives and displays the notification.

[0480] Birthday reminder and gift suggestion scenarios are also effective. For example, if a user registers their child's birthday as "May 15, 2023," the server will generate a reminder a few days before the birthday and send a suggestion such as "A soccer ball is recommended for 8-year-old boys." In this way, users can plan and prepare for life events, ensuring a regret-free experience.

[0481] As described above, the present invention realizes a system that provides useful information to users at appropriate times through each step of user information registration, analysis, proposal generation, and notification.

[0482] The processing flow will be explained below.

[0483] Step 1:

[0484] Users enter basic information such as gender, age, occupation, and family composition through the LINE OA user interface. The entered information is confirmed by pressing the send button.

[0485] Step 2:

[0486] The device converts the input data into JSON format, which is then sent to the server via a secure protocol (e.g., HTTPS).

[0487] Step 3:

[0488] The server parses the received JSON data and extracts information such as gender, age, occupation, family composition, etc. The extracted information is stored in a database.

[0489] Step 4:

[0490] The user enters information about life events such as past travel history and children's birthdays on LINE OA. After entering the information, the user presses the send button to confirm.

[0491] Step 5:

[0492] The device converts the entered life event information into JSON format and sends it to the server using a secure protocol.

[0493] Step 6:

[0494] The server parses the received life event information and extracts information such as the event name, date, location, and specific activity details. The extracted information is stored in a database.

[0495] Step 7:

[0496] The server periodically scans the database for basic and life event information, using SQL queries to retrieve recently updated user information.

[0497] Step 8:

[0498] The server analyzes the acquired user information and generates the necessary suggestions, for example, by running an algorithm that suggests the next travel destination based on the user's past travel history.

[0499] Step 9:

[0500] The server saves the generated suggestion to the database. It inserts a record into the suggestion table containing the user ID, suggestion, and suggestion date and time.

[0501] Step 10:

[0502] The server executes a query to retrieve from the database the proposals that need to be notified. It also extracts proposals that have not yet been notified.

[0503] Step 11:

[0504] The server converts the suggestion content into JSON format and sends it to the LINE OA API endpoint, where it is sent to the user as a notification.

[0505] Step 12:

[0506] The device will notify the user of the received suggestion, which will be displayed as a message in the user's chat interface using LINE OA's notification function.

[0507] Step 13:

[0508] The user reviews the recommendations and takes action as needed, for example, by searching or booking a travel destination.

[0509] Example 1

[0510] 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."

[0511] Conventional systems have had difficulty efficiently collecting, storing, and analyzing users' basic information and life event information to provide optimal suggestions to users. Furthermore, personalized suggestions based on users' preferences and past behavioral history were rarely provided in real time. This meant that users could not receive information and services tailored to them at the appropriate time, resulting in low convenience.

[0512] 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.

[0513] In this invention, the server includes means for inputting basic information such as a user's gender, age, occupation, and family structure, means for transmitting the input data of the basic information to an information processing device, means for saving the basic information in a data storage, means for inputting the user's life event information, means for transmitting the life event information to the information processing device, means for saving the life event information in the data storage, means for analyzing the basic information and the life event information, means for generating proposal content based on the analysis results using a generative model, means for notifying the user of the generated proposal content, and means for displaying the proposal content on the user's device. This makes it possible to efficiently collect, save, and analyze the user's basic information and life event information, and to make personalized proposals to the user at appropriate times.

[0514] "Basic information" refers to basic attribute information such as the user's gender, age, occupation, and family structure.

[0515] "Life event information" refers to information related to the user's life, such as past travel history, children's birthdays, and important events.

[0516] "Information processing device" refers to a computer system that receives, analyzes, stores, and processes data sent by a user.

[0517] "Data storage" refers to databases and other storage devices for storing baseline and life event information.

[0518] "Means of analysis" refers to algorithms and software that process basic information and life event information to extract information that is useful to the user.

[0519] "Generative models" refer to machine learning models and AI systems that automatically create personalized suggestions based on user information.

[0520] "Suggested content" refers to information such as specific travel destinations, activities, accommodations, etc. that is provided to the user based on the analysis results.

[0521] "Means for notifying" refers to a message delivery system or notification function for informing the user of the generated proposal content.

[0522] "User device" refers to a terminal such as a smartphone or tablet used by a user.

[0523] MODE FOR CARRYING OUT THE INVENTION

[0524] The present invention is a system for collecting, storing, and analyzing basic information and life event information of a user, and making optimal suggestions to the user. Specific embodiments of the present invention will be described below.

[0525] Program processing

[0526] Hardware and Software Use

[0527] The system utilizes the following hardware and software:

[0528] Device: Smartphone or tablet (e.g. iOS device, Android device)

[0529] Communication protocol: HTTPS

[0530] User Interface: Messaging Application

[0531] Data format: JSON

[0532] Server: Cloud server (e.g. AWS, Google Cloud)

[0533] Data storage: Relational database (e.g. MySQL, PostgreSQL)

[0534] Analysis algorithm: Machine learning model

[0535] Program processing flow

[0536] The user first inputs basic information via the terminal, including gender, age, occupation, family composition, etc. This information is input using the interface of the messaging application.

[0537] The device converts the input basic information into JSON format and sends it to the server using the HTTPS protocol. The server receives this JSON data, analyzes it, and saves it in data storage.

[0538] Next, the user enters life event information, which can include past travel history, children's birthdays, important events, etc. This information is also entered through the messaging application.

[0539] The device converts the life event information into JSON format and sends it to the server, which then analyzes the information and stores it in data storage.

[0540] The server periodically scans the user's basic and life event information and uses analytical algorithms to generate personalized suggestions for each user, using machine learning models.

[0541] For example, if the user is a 35-year-old male engineer, married with two children, and has previously enjoyed skiing in Hokkaido, the server will analyze this information and determine that "the user enjoys winter activities (skiing)."Then, it will suggest "mountain tourist destinations" as recommended ski resorts for the next winter vacation.

[0542] The generated suggestions are converted to JSON format by the server and sent to the messaging application's API endpoint. The device receives the suggestions sent from the server and notifies and displays them to the user.

[0543] Specific examples

[0544] As a specific scenario, consider "travel proposal."

[0545] Let's say a user registers basic information such as "35 years old, male, engineer, married, two children (ages 8 and 5)" and life event information such as "traveled to Hokkaido in August 2022 and enjoyed skiing." In this case, the server analyzes this information and suggests "mountain tourist spots" as "recommended ski resorts for your next winter vacation."

[0546] Example prompt sentence:

[0547] "A user, a 35-year-old male engineer, married with two children (ages 8 and 5), has registered information that he traveled to Hokkaido in August 2022 and enjoyed skiing. Please suggest ski resorts that you would recommend for this user for their next winter vacation."

[0548] In this way, the present invention realizes a system that provides users with personalized and useful information at the appropriate time through each step of collecting, storing, analyzing, and generating suggestions about the user.

[0549] The flow of the identification process in the first embodiment will be described with reference to FIG.

[0550] Step 1:

[0551] Enter basic information

[0552] Users enter basic information such as gender, age, occupation, and family status using the messaging application interface.

[0553] Input: Gender, age, occupation, family composition

[0554] Output: Data that contains basic information from the user

[0555] What happens: A user manually enters the required basic information into the messaging application interface.

[0556] Step 2:

[0557] Conversion of basic information

[0558] The terminal converts the basic information entered into JSON format.

[0559] Input: Basic information entered by the user

[0560] Output: Basic information converted to JSON format

[0561] Specific operation: The terminal reads the data entered by the user and converts it to JSON format using the JSON.stringify function.

[0562] Step 3:

[0563] Send basic information

[0564] The terminal transmits the converted basic information to the server using the HTTPS protocol.

[0565] Input: Basic information in JSON format

[0566] Output: Basic information sent to the server

[0567] Specific operation: The terminal sends the converted JSON data as a POST request to a specific endpoint on the server using HTTPS.

[0568] Step 4:

[0569] Saving basic information

[0570] The server analyzes the received JSON data of the basic information and saves it in data storage.

[0571] Input: Basic information received from the device in JSON format

[0572] Output: Basic information stored in data storage

[0573] Specific operation: The server parses the received JSON data using the JSON.parse function and issues an INSERT statement to the database to save the information.

[0574] Step 5:

[0575] Entering life event information

[0576] Users enter information about life events such as past travel history, children's birthdays, and important events through messaging applications.

[0577] Input: Travel history, birthdays, and other life event information

[0578] Output: Data containing life event information from users

[0579] What happens: A user manually enters life event information into a messaging application interface.

[0580] Step 6:

[0581] Life event information conversion

[0582] The device converts the entered life event information into JSON format.

[0583] Input: Life event information entered by the user

[0584] Output: Life event information converted to JSON format

[0585] Specific operation: The terminal reads the data entered by the user and converts it to JSON format using the JSON.stringify function.

[0586] Step 7:

[0587] Sending life event information

[0588] The terminal transmits the converted life event information to the server using the HTTPS protocol.

[0589] Input: Life event information in JSON format

[0590] Output: Life event information sent to the server

[0591] Specific operation: The terminal sends the converted JSON data as a POST request to a specific endpoint on the server using HTTPS.

[0592] Step 8:

[0593] Saving life event information

[0594] The server analyzes the received JSON data of the life event information and stores it in data storage.

[0595] Input: JSON format life event information received from the device

[0596] Output: Life event information saved in data storage

[0597] Specific operation: The server parses the received JSON data using the JSON.parse function and issues an INSERT statement to the database to save the information.

[0598] Step 9:

[0599] Proposal generation

[0600] The server periodically scans basic information and life event information and uses an analytical algorithm to generate recommendations for each user.

[0601] Input: Basic information and life event information obtained from data storage

[0602] Output: Generated proposals

[0603] Specific operation: The server retrieves user information from the database using a SELECT statement, sends a prompt to the generative AI model, analyzes the generated response, and constructs a proposal.

[0604] Example prompt sentence:

[0605] "A user, a 35-year-old male engineer, married with two children (ages 8 and 5), has registered information that he traveled to Hokkaido in August 2022 and enjoyed skiing. Please suggest ski resorts that you would recommend for this user for their next winter vacation."

[0606] Step 10:

[0607] Notification of proposal details

[0608] The server converts the generated suggestions into JSON format and sends them to the messaging application's API endpoint.

[0609] Input: Generated proposal

[0610] Output: JSON format of the proposal sent to the user's device

[0611] Specific behavior: The server converts the proposal into JSON format using the JSON.stringify function and sends it to a specific API endpoint of the messaging application.

[0612] Step 11:

[0613] Viewing Proposals

[0614] The terminal receives the proposal content sent from the server, notifies the user, and displays it.

[0615] Input: JSON format of the proposal received from the server

[0616] Output: Proposal displayed on the user's device

[0617] Specific operation: The device parses the received JSON data and notifies and displays it to the user through the messaging application.

[0618] (Application example 1)

[0619] 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."

[0620] In recent years, a wide variety of content has been provided on the Internet, and there is a demand for appropriate content recommendations based on individual user preferences. However, conventional systems have not been able to effectively utilize a user's basic information and life event information to recommend optimal content. This makes it difficult for users to always access content that is appropriate for them.

[0621] 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.

[0622] In this invention, the server includes means for inputting basic information such as a user's gender, age, occupation, and family structure, means for transmitting the input data of the basic information to the server, means for saving the basic information in a database, means for inputting the user's life event information, means for transmitting the life event information to the server, means for saving the life event information in the database, means for analyzing the basic information and the life event information, means for generating proposals based on the analysis results, means for notifying the user of the generated proposals, means for displaying the proposals on the user terminal, means for generating video and article recommendations based on the user's preferences, means for displaying the recommendations using the LINE API, means for optimizing the proposals using a generative AI model, and means for recommending the content using prompts to the generative AI model. This makes it possible to recommend appropriate content at the optimal time based on the user's basic information and life event information, thereby significantly improving user convenience.

[0623] "Basic information" refers to personal information such as the user's gender, age, occupation, and family composition.

[0624] "Life event information" is information about important events that the user has experienced in the past and events that are scheduled for the future.

[0625] "Server" refers to a computer system that receives basic information and life event information provided by users, and analyzes, stores, and notifies them.

[0626] A "database" is an information storage system that stores a user's basic information and life event information and can retrieve it as needed.

[0627] "Analysis" is a process in which the server understands the user's preferences and needs based on basic information and life event information, and generates appropriate suggestions.

[0628] "Suggestions" are information on travel destinations, activities, hotels, etc., as well as recommended videos and articles, provided to users based on the analysis results.

[0629] "User Device" means a device, such as a smartphone or tablet, that a User uses to receive and display Suggestions.

[0630] "Notification" refers to the act of sending information by the server to inform the user of the proposed content.

[0631] A "generative AI model" is an artificial intelligence model used to understand a user's preferences and needs and generate optimal suggestions.

[0632] A "prompt sentence" is an input sentence used to provide a generative AI model with the necessary information to generate a specific suggestion.

[0633] The system for realizing this invention begins with the user entering basic information and life event information. The user enters basic information such as gender, age, occupation, and family composition using a dedicated application. This application is installed on the user's device, such as a smartphone or tablet.

[0634] The basic information entered by the user is converted to JSON format within the application and sent to the server using the secure HTTPS protocol. The server receives this data and stores it in the appropriate database. Similarly, the user also enters information about past travel history and important life events. This information is also converted to JSON format and sent to the server to be stored in the database.

[0635] The server periodically scans basic information and life event information for each user and performs an analysis. This analysis is performed using a generative AI model. Based on the user's past behavior and preferences, the generative AI model generates the next content recommendation. This content is organized into a recommended list of videos and articles.

[0636] For example, if a user registers basic information such as "35 years old, male, engineer, married, with two children (ages 8 and 5)" and a past life event such as "traveled to Hokkaido in August 2022 and enjoyed skiing," the server will analyze this information and conclude that "the user enjoys winter activities (skiing)." Based on this, the server will recommend movies and video content such as "recommended ski trips" and ski-related videos.

[0637] The generated suggestions are sent to the user's device by the server using the LINE API, etc., and are notified at the appropriate time. By displaying them on the user's device, the user can instantly watch the appropriate content.

[0638] An example of a specific prompt for a generative AI model is as follows:

[0639] User Information: {

[0640] Age: 35,

[0641] "Gender": "Male",

[0642] "Occupation": "Engineer",

[0643] "Family Composition": {

[0644] "Married": True,

[0645] "Children": 2

[0646] },

[0647] "Life Events": [

[0648] {

[0649] "Event": "Traveled to Hokkaido in August 2022 and enjoyed skiing",

[0650] "Activity": "Skiing"

[0651] }

[0652] ]

[0653] }

[0654] What's your recommended next travel destination and activity?

[0655] This prompt enables the generative AI model to generate recommendations that are optimized for the user's preferences, improving the actual user experience and allowing users to easily find content that matches their lifestyle and preferences.

[0656] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[0657] Step 1:

[0658] The user enters basic information.

[0659] Users use an application installed on their smartphone or tablet to enter basic information such as their gender, age, occupation, and family composition. The entered data is converted into JSON format and sent to the server in the next step.

[0660] Step 2:

[0661] Send basic information to the server.

[0662] The terminal converts the basic information entered by the user into JSON format and sends it to the server via the HTTPS protocol. The server receives this data and stores it in the appropriate database. The input JSON data is in the following format:

[0663] json

[0664] {

[0665] "age": 35,

[0666] "gender": "male",

[0667] "occupation": "engineer",

[0668] "family": {"married": true, "children": 2}

[0669] }

[0670] Step 3:

[0671] The user enters life event information.

[0672] Users enter information about life events such as past travel history and children's birthdays through the application, which is also converted into JSON format and sent to the server in the next step.

[0673] Step 4:

[0674] The life event information is transmitted to the server.

[0675] The device converts the life event information entered by the user into JSON format and sends it to the server. The server receives this data and stores it in the appropriate database. The input JSON data is in the following format:

[0676] json

[0677] {

[0678] "life_events": [

[0679] {"event": "traveled to Hokkaido", "date": "2022-08-15", "activity": "skiing"}

[0680] ]

[0681] }

[0682] Step 5:

[0683] Analysis of basic information and life event information.

[0684] The server periodically scans the basic information and life event information stored in the database and automatically analyzes it. The analysis uses a generative AI model to identify the user's preferences and patterns. The analysis is performed by inputting the prompt sentence into the generative AI model.

[0685] User Information: {

[0686] Age: 35,

[0687] "Gender": "Male",

[0688] "Occupation": "Engineer",

[0689] "Family Composition": {

[0690] "Married": True,

[0691] "Children": 2

[0692] },

[0693] "Life Events": [

[0694] {

[0695] "Event": "Traveled to Hokkaido in August 2022 and enjoyed skiing",

[0696] "Activity": "Skiing"

[0697] }

[0698] ]

[0699] }

[0700] What's your recommended next travel destination and activity?

[0701] Step 6:

[0702] Proposal generation.

[0703] Based on the results of the analysis using the generative AI model, the server generates content (videos and articles) that match the user's interests. For example, if a user loves skiing, it will recommend videos about their next ski trip.

[0704] Step 7:

[0705] Notification of proposal contents.

[0706] The server converts the generated suggestions into JSON format and sends them to the user's device using the LINE API. This allows the user to view the recommended content on their smartphone or tablet. The JSON data of the notification is in the following format:

[0707] json

[0708] {

[0709] "type": "video",

[0710] "title": "Next Skiing Adventure in Nagano",

[0711] "url": "https: / / content.example.com / skiing_nagano"

[0712] }

[0713] Step 8:

[0714] Displaying suggestions on the user's device.

[0715] The device displays the suggestions received from the server to the user, allowing the user to access and watch the suggested videos or articles via push notifications.

[0716] 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.

[0717] In one embodiment of the present invention, a user enters basic information such as gender, age, occupation, and family composition through a terminal. Specifically, this basic information is entered using the LINE OA user interface and confirmed by pressing the send button. The terminal converts the entered basic information into JSON format and sends it to the server using a secure protocol (e.g., HTTPS). The server parses the received JSON data and stores it in a database.

[0718] Next, the user enters life event information. For example, past travel history, children's birthdays, important events, and other information can be entered on LINE OA. The device also converts the entered life event information into JSON format and sends it to the server in the same way. The server then analyzes this life event information and stores it in a database.

[0719] The server periodically scans the database for basic information and life event information to generate personalized recommendations for each user. For example, when suggesting a user's next travel destination based on their past travel history, the server uses an analytical algorithm to suggest travel destinations, activities, hotels, etc. that match the user's preferences. These recommendations are then stored in the database by the server.

[0720] The incorporation of an emotion engine also enables more personalized suggestions by analyzing user emotions. For example, it analyzes emotions from a user's text or voice input and optimizes the suggestions based on the results. The emotion engine generates suggestions that reflect the user's mood and psychological state, providing more appropriate information for the user.

[0721] The generated suggestions are notified to the user by the server at the appropriate time. The server converts the suggestions into JSON format and sends it to the LINE OA API endpoint. The device then notifies and displays the suggestions to the user.

[0722] As an example, consider a scenario in which travel suggestions are made that take emotions into consideration. Suppose a user registers basic information such as "35 years old, male, engineer, married, with two children (ages 8 and 5)" and also registers information such as "I enjoyed skiing in Hokkaido in August 2022" as a past life event. If the user further enters text such as "I've been feeling stressed lately," the server analyzes this emotional information using its emotion engine and determines that "I need a relaxing travel destination." Based on this, it generates a suggestion for "A relaxing hot spring inn for your next winter vacation." The server notifies the user of this suggestion via LINE OA, and the device receives and displays the notification.

[0723] The emotion engine's functionality also improves birthday reminder and gift suggestion scenarios. For example, if a user registers their child's birthday, "May 15, 2023," and asks, "What is my child interested in these days?", the emotion engine will analyze the child's recent interests from past conversation history. As a result, it will generate a suggestion that "8-year-old boys have recently become interested in soccer," and notify the user that "a soccer ball is recommended" along with the reminder. In this way, users can plan ahead and prepare for life events, and also choose appropriate gifts that are in line with their child's interests.

[0724] As described above, the present invention realizes a system that provides useful and personalized information to users at the appropriate time through each step of user information registration, analysis, emotion analysis using an emotion engine, proposal generation, and notification.

[0725] The processing flow will be explained below.

[0726] Step 1:

[0727] Users enter basic information such as gender, age, occupation, and family composition through the LINE OA user interface. The input information is confirmed by pressing the send button.

[0728] Step 2:

[0729] The device converts the input data into JSON format, which is then sent to the server via a secure protocol (e.g., HTTPS).

[0730] Step 3:

[0731] The server parses the received JSON data and extracts information such as gender, age, occupation, family composition, etc. The extracted information is stored in a database.

[0732] Step 4:

[0733] The user enters information about life events such as travel history and birthdays on LINE OA. After entering the information, the user presses the send button to confirm.

[0734] Step 5:

[0735] The device converts the entered life event information into JSON format and sends it to the server using a secure protocol.

[0736] Step 6:

[0737] The server parses the received life event information and extracts the event name, date, location, and specific activity details. The extracted information is stored in a database.

[0738] Step 7:

[0739] Users input their current emotional state through text or voice. This emotional information is sent via LINE OA.

[0740] Step 8:

[0741] The device converts the emotional information into JSON format and sends it to the server using a secure protocol.

[0742] Step 9:

[0743] The emotion information received by the server is analyzed by the emotion engine, and the analysis result is the user's emotional state (e.g., stress, relaxation, excitement, etc.).

[0744] Step 10:

[0745] The server periodically scans the database for basic information, life event information, and emotion information and executes SQL queries to retrieve recently updated information.

[0746] Step 11:

[0747] The server analyzes the acquired user information and generates suggestions based on the results of the emotion engine. For example, it suggests relaxing travel destinations based on the user's past travel history and current emotional state.

[0748] Step 12:

[0749] The server saves the generated proposal to the database. It inserts a record into the proposal table containing the user ID, proposal content, and proposal date and time.

[0750] Step 13:

[0751] The server executes a query to obtain proposals that require notification from the database, and extracts proposals that have not yet been notified.

[0752] Step 14:

[0753] The server converts the proposal content into JSON format and sends it to the LINE OA API endpoint. The proposal content is then sent to the user as a notification.

[0754] Step 15:

[0755] The device notifies the user of the received suggestion, which is displayed as a message in the user's chat interface using the LINE OA notification function.

[0756] Step 16:

[0757] The user reviews the recommendations and takes action as needed, for example, by searching or booking a travel destination.

[0758] As described above, the present invention realizes a system that provides useful and personalized information to users at appropriate times through each step of user information registration, analysis, emotion analysis using an emotion engine, proposal generation, and notification.

[0759] Example 2

[0760] 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."

[0761] Conventional personalization systems typically simply analyze a user's basic information and life event information and make suggestions based on that. However, because the system does not reflect the user's emotions or psychological state, the suggestions often do not match the user's current mood or psychological state. As a result, the system may make suggestions that are not useful to the user, reducing the system's value.

[0762] The identification process by the identification processing unit 290 of the data processing device 12 in Example 2 is realized by the following means. In this invention, the server includes means for inputting basic information such as the user's gender, age, occupation, and family structure, means for transmitting the input data of the basic information to the server, means for saving the basic information in a database, means for inputting the user's life event information, means for transmitting the life event information to the server, means for saving the life event information in the database, means for analyzing the basic information and the life event information, means for generating proposal content based on the analysis results, means for notifying the user of the generated proposal content, means for displaying the proposal content on the user terminal, and means for analyzing the user's emotions using an emotion analysis engine and optimizing the proposal content. This makes it possible to provide more personalized and useful information that takes into account the user's current emotions and psychological state.

[0763] "Basic information" refers to basic information about the user, such as the user's gender, age, occupation, and family composition.

[0764] "Life event information" is information about events related to the user's life, such as past travel history and important events.

[0765] A "terminal" is a device used by a user to input information and communicate with a server.

[0766] The "server" is a central processing unit that analyzes received data, generates proposals, and notifies them.

[0767] "Database" is a data management system for storing basic information and life event information.

[0768] An "analysis algorithm" is a program that analyzes user information and generates appropriate suggestions.

[0769] "Suggestions" are information or recommendations generated based on the analysis results and provided to users.

[0770] An "emotion analysis engine" is software that analyzes emotions from a user's text or voice input and optimizes the content of suggestions.

[0771] The "HTTPS protocol" is a communication protocol for securely transmitting data.

[0772] "JSON format" is a data exchange format for structuring user input information and sending it to a server.

[0773] In an embodiment of the present invention, a user first inputs basic information using a terminal, such as the user's gender, age, occupation, and family composition, through the LINE Official Account (LINE OA) interface, and then confirms the information by pressing the send button.

[0774] The device converts the input basic information into JSON format and sends it to the server using the HTTPS protocol. The server analyzes the received JSON data and stores the basic information in a database.

[0775] Next, the user enters life event information. This is done by entering information such as past travel history and important events on LINE OA. Here too, the device converts the entered information into JSON format and sends it to the server. The server also receives the life event information, analyzes it, and stores it in a database.

[0776] Based on this basic information and life event information, the server uses an analysis algorithm to generate suggestions. As a specific example, it is possible to suggest the next travel destination based on the user's past travel history. For example, if a user has registered life event information such as "enjoyed skiing in Hokkaido in August 2022," the server could generate a "relaxing trip to a hot spring resort" for the next trip.

[0777] Furthermore, by using an emotion analysis engine, the present invention can analyze the user's emotions and provide more personalized suggestions. It is possible to extract emotions from the user's text or voice input and make optimal suggestions based on that state. For example, if a user inputs, "I've been feeling stressed lately," the system analyzes that emotional information and determines, "I need a relaxing travel destination."

[0778] The generated suggestions are notified to the user by the server at the appropriate time. The server converts the suggestions into JSON format and sends it to the LINE OA API endpoint. The device receives this notification and displays the suggestions to the user.

[0779] As a specific example, consider the case where a user registers basic information such as "35 years old, male, engineer, married, with two children (ages 8 and 5)" and a past life event such as "I enjoyed skiing in Hokkaido in August 2022." If the user further enters text such as "I've been feeling stressed lately," the server will use its emotion analysis engine to determine that "I need a relaxing vacation destination" and suggest "A relaxing hot spring inn for your next winter vacation." The user is notified of this suggestion via LINE OA, and the device receives and displays the notification.

[0780] An example of a prompt sentence might be:

[0781] Example 1: Travel proposal

[0782] Let's say the user is a 35-year-old male engineer, married with two children (ages 8 and 5), and wants to go skiing in Hokkaido in August 2022. He has mentioned that he has been feeling stressed recently. Please suggest a travel destination.

[0783] Example 2: Birthday reminder

[0784] A user has registered their child's birthday, May 15, 2023, and asked about their child's recent interests. Analyze their past conversation history to find out what their child is interested in these days and generate suggestions.

[0785] In this way, the present invention realizes a system that provides useful and personalized information to users at the appropriate time through each step of user information registration, analysis, analysis using a sentiment analysis engine, proposal generation, and notification.

[0786] The flow of the identification process in the second embodiment will be described with reference to FIG.

[0787] Step 1:

[0788] Enter and submit basic information

[0789] The user uses the device to enter basic information (gender, age, occupation, family composition, etc.) into the LINE Official Account (LINE OA) interface. When the send button is pressed, the device converts this information into JSON format. The converted JSON data is sent to the server via the HTTPS protocol.

[0790] Input: Gender, age, occupation, family composition

[0791] Data processing: Convert input information into JSON format

[0792] Output: Send JSON data to the server

[0793] Specific operation: The user enters information such as "Gender: Male" and "Age: 35" into LINE OA and clicks the send button. The device acquires this information, converts it into JSON format data, and sends it to the server via HTTPS.

[0794] Step 2:

[0795] Receiving and storing basic information

[0796] The server analyzes the received basic information in JSON format and stores the analysis results in a database.

[0797] Input: Basic information in JSON format

[0798] Data processing: Parsing JSON data

[0799] Output: Analyzed basic information is saved in a database

[0800] Specific operation: The server analyzes the received JSON data and stores information such as "Gender: Male" and "Occupation: Engineer" in a database.

[0801] Step 3:

[0802] Enter and submit life event information

[0803] Users use their devices to input life event information (such as past travel history or important events) into the LINE OA interface. When they press the send button, the device also converts this information into JSON format and sends it to the server.

[0804] Input: Life event information (travel history, important events)

[0805] Data processing: Convert input information into JSON format

[0806] Output: Send JSON data to the server

[0807] Specific operation: The user enters information such as "Enjoyed skiing in Hokkaido in August 2022" or "Child's birthday: May 15, 2023" into LINE OA and clicks the send button. The device converts the information into JSON format and sends it to the server via HTTPS.

[0808] Step 4:

[0809] Receiving and storing life event information

[0810] The server analyzes the received JSON formatted life event information and stores the analysis results in a database.

[0811] Input: Life event information in JSON format

[0812] Data processing: Parsing JSON data

[0813] Output: Analyzed life event information saved in a database

[0814] Specific operation: The server analyzes the received JSON data and saves information such as "Enjoyed skiing in Hokkaido in August 2022" and "Child's birthday: 5 / 15 / 2023" in a database.

[0815] Step 5:

[0816] Regularly scan your data and generate recommendations

[0817] The server periodically scans the database for basic information and life event information. Based on this data, an analytical algorithm is used to generate personalized recommendations for each user. For example, it may suggest a next trip destination based on past travel history.

[0818] Input: Basic information, life event information

[0819] Data processing: Scanning data and generating recommendations using analytical algorithms

[0820] Output: Suggested content (next travel destination, etc.)

[0821] Specific operation: The server periodically scans the database and analyzes information such as "gender: male," "occupation: engineer," and "past travel history," generating suggestions such as "next travel destination: hot spring resort."

[0822] Step 6:

[0823] Optimizing proposal content using a sentiment analysis engine

[0824] The server analyzes the user's emotions from text and voice input, and optimizes the suggestions based on the results of this analysis. For example, if a user writes, "I've been feeling stressed lately," the server will suggest "relaxing travel destinations" based on that emotion.

[0825] Input: User text input, voice input

[0826] Data processing: Sentiment analysis using an emotion analysis engine

[0827] Output: Optimized proposals

[0828] Specific operation: If a user enters text such as "I've been feeling stressed lately," the sentiment analysis engine will determine that "I need a relaxing travel destination" and suggest "a relaxing hot spring inn in a hot spring resort."

[0829] Step 7:

[0830] Notification of proposal details

[0831] The server converts the suggestions into JSON format and sends them to the LINE OA API endpoint. The device receives this notification and displays the suggestions to the user.

[0832] Input: Optimized suggestions

[0833] Data processing: Convert proposals into JSON format

[0834] Output: Notify and display on user terminal

[0835] Specific operation: The server sends the suggestion to the LINE OA API in JSON format, saying, "Your next travel destination is a hot spring resort." The device receives the notification and displays a message to the user on LINE OA saying, "We suggest a hot spring inn where you can relax during your next winter vacation."

[0836] (Application example 2)

[0837] 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."

[0838] Conventional systems provide fixed recommendations based on a user's basic information and life event information, making it difficult to provide personalized recommendations that reflect the user's real-time emotions and psychological state. Furthermore, even in the shopping experience at a physical store, recommendations that take into account the user's momentary emotions and current mood are insufficient, and optimal recommendations to increase user satisfaction are not provided.

[0839] 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.

[0840] In this invention, the server includes a means for analyzing a user's emotions, a means for optimizing the content of suggestions based on the emotion analysis results, and a means for making shopping suggestions in real time based on the user's input, thereby enabling personalized shopping suggestions based on the user's emotions and psychological state.

[0841] "Basic information" refers to personal information such as the user's gender, age, occupation, and family composition.

[0842] "Life event information" refers to information related to the user's life, such as the user's past travel history or important family events.

[0843] "Emotion analysis means" refers to algorithms or technologies that determine a user's emotional state from text or voice input.

[0844] "Suggestions based on analysis results" refers to recommendations and information generated based on the basic information and life event information provided by the user, as well as the results of sentiment analysis.

[0845] "User Device" refers to the device a User uses to enter information or receive suggestions, such as a smartphone, tablet, or computer.

[0846] "Means of notification" refers to the communication means or technology used to notify users of the generated suggestions.

[0847] "Real-time shopping suggestion methods" refers to technologies and algorithms that instantly suggest appropriate products or services based on a user's current input.

[0848] "Means for optimizing proposal content based on the results of emotion analysis" refers to technologies and mechanisms that adjust proposal content to be more personalized according to the user's emotional state.

[0849] A specific embodiment of the present invention is a shopping support system for smartphone-based users, which collects basic information and life event information of users and performs emotion analysis to provide personalized product suggestions in real time.

[0850] The system includes the following processes:

[0851] First, the user enters basic information through a smartphone app, including gender, age, occupation, and family composition. The entered information is converted to JSON format and sent to the server using the HTTPS protocol. The server then analyzes the received JSON data and stores it in a database.

[0852] Next, the user enters life event information, such as past travel history or important family events. This life event information is also converted into JSON format and sent to the server using the HTTPS protocol. The server then stores this information in a database.

[0853] Next, emotion analysis is performed. The user's current emotional state is determined by analyzing the text and voice data entered by the user through the smartphone app. For example, if a user enters "I've been feeling stressed lately," the emotion analysis engine will analyze this and output the result "I'm feeling stressed." The analysis results are stored on the server.

[0854] The server scans the database for basic information, life event information, and sentiment analysis results, and generates recommendations based on this data. These recommendations include products and services that best fit the user's behavior, preferences, and current state of mind. This information is also converted into JSON format and sent to the smartphone app.

[0855] The smartphone app will then present the suggested products to the user. For example, if the app detects that the user has been feeling stressed recently, it will suggest relaxing aroma candles or hot spring inns. The user can then use these suggestions to help them choose products and services.

[0856] This embodiment of the present invention is programmed using the Python language. It is recommended to use an external sentiment analysis API or generative AI model for sentiment analysis. For example, Google Cloud Natural Language API or IBM Watson Natural Language Understanding can be used. Data is transmitted and received securely using the HTTPS protocol.

[0857] For example, if a user, a 35-year-old male engineer with a wife and an 8-year-old child, enters into the app that he has been feeling stressed lately, the system will analyze this and suggest products and services that have a relaxing effect. As a result, the user will be shown "relaxing aroma candles" and "hot spring hotel reservation information."

[0858] An example of a prompt is as follows:

[0859] Enter basic user information:

[0860] Name: Yamada Taro

[0861] Age: 35

[0862] Gender: Male

[0863] Occupation: Engineer

[0864] Family: Wife and 8-year-old child

[0865] Emotional state: I've been feeling stressed lately

[0866] In this way, the present invention provides a system that improves the user's shopping experience by making optimal suggestions in real time based on the user's basic information, life event information, and emotion analysis results.

[0867] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[0868] Step 1:

[0869] The user opens the smartphone app and enters basic information (gender, age, occupation, family composition). After entering the information, this information is converted into JSON format. The converted JSON data is sent to the server using the HTTPS protocol. The server analyzes the received JSON data and stores it in a database.

[0870] Input: User basic information

[0871] Data processing: Convert to JSON format

[0872] Output: Converted basic information JSON data sent to the server

[0873] Step 2:

[0874] Next, the user inputs life event information (such as past travel history or important family events), which is also converted into JSON format and sent to the server using the HTTPS protocol. The server then stores the received life event information in a database.

[0875] Input: User's life event information

[0876] Data processing: Convert to JSON format

[0877] Output: Converted life event information JSON data sent to the server

[0878] Step 3:

[0879] The user inputs their emotional state into the app, such as "I've been feeling stressed lately." The emotion analysis engine analyzes this text data and determines the user's emotional state as "feeling stressed." The analysis results are stored on the server.

[0880] Input: Text data of the user's emotional state

[0881] Data processing: Analysis using emotion analysis engine

[0882] Output: Save analysis results to the server

[0883] Step 4:

[0884] The server periodically scans basic information, life event information, and emotion analysis results, analyzes the scanned data, and generates optimal suggestions for the user.

[0885] Input: Basic information stored in the database, life event information, emotion analysis results

[0886] Data processing: Regular scanning and data analysis

[0887] Output: Generate optimal proposals

[0888] Step 5:

[0889] The generated suggestions are converted into JSON format and sent to the user's smartphone app, which then receives the notification and displays the suggestions to the user.

[0890] Input: Generated proposal

[0891] Data processing: Convert to JSON format and notify

[0892] Output: Display of suggestions on a smartphone app

[0893] Step 6:

[0894] Users can choose an action based on the suggestions, such as purchasing a relaxing aroma candle or booking a hot spring resort.

[0895] Input: Proposal

[0896] Data processing: User selection

[0897] Output: Example of selected action execution

[0898] 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.

[0899] 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.

[0900] 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.

[0901] [Third embodiment]

[0902] FIG. 5 shows an example of the configuration of a data processing system 310 according to the third embodiment.

[0903] 5, the data processing system 310 includes the data processing device 12 and a headset type terminal 314. An example of the data processing device 12 is a server.

[0904] 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).

[0905] 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.

[0906] 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.

[0907] 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).

[0908] 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.

[0909] 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.

[0910] 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.

[0911] 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.

[0912] 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.

[0913] 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."

[0914] In one embodiment of the present invention, a user enters basic information such as gender, age, occupation, and family composition through a terminal. Specifically, this basic information is entered and transmitted using the LINE OA user interface. The terminal converts the entered basic information into JSON format and transmits it to a server using a secure protocol (e.g., HTTPS). The server analyzes the received JSON data and stores it in an appropriate database.

[0915] Next, the user enters life event information. For example, past travel history, children's birthdays, important events, and other information can be entered on LINE OA. The device also converts the entered life event information into JSON format and sends it to the server in the same way. The server then analyzes this life event information and stores it in a database.

[0916] The server periodically scans the database for basic information and life event information to generate personalized recommendations for each user. For example, when suggesting a user's next travel destination based on their past travel history, the server uses an analytical algorithm to suggest travel destinations, activities, hotels, etc. that match the user's preferences. These recommendations are then stored in the database by the server.

[0917] The generated suggestions are notified to the user by the server at the appropriate time. The server converts the suggestions into JSON format and sends it to the LINE OA API endpoint, which then displays the suggestions to the user on the device.

[0918] As an example, consider a scenario in which travel suggestions are made. A user registers basic information such as "35 years old, male, engineer, married, with two children (ages 8 and 5)" and also registers information about a past life event, "traveled to Hokkaido in August 2022 and enjoyed skiing." The server analyzes this information and determines that "the user enjoys winter activities (skiing)." Based on this, around June 2023, it generates information about "Hakuba in Nagano" as a "recommended ski resort for the next winter vacation (around December)." The server notifies the user of this suggestion via LINE OA, and the device receives and displays the notification.

[0919] Birthday reminder and gift suggestion scenarios are also effective. For example, if a user registers their child's birthday as "May 15, 2023," the server will generate a reminder a few days before the birthday and send a suggestion such as "A soccer ball is recommended for 8-year-old boys." In this way, users can plan and prepare for life events, ensuring a regret-free experience.

[0920] As described above, the present invention realizes a system that provides useful information to users at appropriate times through each step of user information registration, analysis, proposal generation, and notification.

[0921] The processing flow will be explained below.

[0922] Step 1:

[0923] Users enter basic information such as gender, age, occupation, and family composition through the LINE OA user interface. The entered information is confirmed by pressing the send button.

[0924] Step 2:

[0925] The device converts the input data into JSON format, which is then sent to the server via a secure protocol (e.g., HTTPS).

[0926] Step 3:

[0927] The server parses the received JSON data and extracts information such as gender, age, occupation, family composition, etc. The extracted information is stored in a database.

[0928] Step 4:

[0929] The user enters information about life events such as past travel history and children's birthdays on LINE OA. After entering the information, the user presses the send button to confirm.

[0930] Step 5:

[0931] The device converts the entered life event information into JSON format and sends it to the server using a secure protocol.

[0932] Step 6:

[0933] The server parses the received life event information and extracts information such as the event name, date, location, and specific activity details. The extracted information is stored in a database.

[0934] Step 7:

[0935] The server periodically scans the database for basic and life event information, using SQL queries to retrieve recently updated user information.

[0936] Step 8:

[0937] The server analyzes the acquired user information and generates the necessary suggestions, for example, by running an algorithm that suggests the next travel destination based on the user's past travel history.

[0938] Step 9:

[0939] The server saves the generated suggestion to the database. It inserts a record into the suggestion table containing the user ID, suggestion, and suggestion date and time.

[0940] Step 10:

[0941] The server executes a query to retrieve from the database the proposals that need to be notified. It also extracts proposals that have not yet been notified.

[0942] Step 11:

[0943] The server converts the suggestion content into JSON format and sends it to the LINE OA API endpoint, where it is sent to the user as a notification.

[0944] Step 12:

[0945] The device will notify the user of the received suggestion, which will be displayed as a message in the user's chat interface using LINE OA's notification function.

[0946] Step 13:

[0947] The user reviews the recommendations and takes action as needed, for example, by searching or booking a travel destination.

[0948] Example 1

[0949] 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."

[0950] Conventional systems have had difficulty efficiently collecting, storing, and analyzing users' basic information and life event information to provide optimal suggestions to users. Furthermore, personalized suggestions based on users' preferences and past behavioral history were rarely provided in real time. This meant that users could not receive information and services tailored to them at the appropriate time, resulting in low convenience.

[0951] 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.

[0952] In this invention, the server includes means for inputting basic information such as a user's gender, age, occupation, and family structure, means for transmitting the input data of the basic information to an information processing device, means for saving the basic information in a data storage, means for inputting the user's life event information, means for transmitting the life event information to the information processing device, means for saving the life event information in the data storage, means for analyzing the basic information and the life event information, means for generating proposal content based on the analysis results using a generative model, means for notifying the user of the generated proposal content, and means for displaying the proposal content on the user's device. This makes it possible to efficiently collect, save, and analyze the user's basic information and life event information, and to make personalized proposals to the user at appropriate times.

[0953] "Basic information" refers to basic attribute information such as the user's gender, age, occupation, and family structure.

[0954] "Life event information" refers to information related to the user's life, such as past travel history, children's birthdays, and important events.

[0955] "Information processing device" refers to a computer system that receives, analyzes, stores, and processes data sent by a user.

[0956] "Data storage" refers to databases and other storage devices for storing baseline and life event information.

[0957] "Means of analysis" refers to algorithms and software that process basic information and life event information to extract information that is useful to the user.

[0958] "Generative models" refer to machine learning models and AI systems that automatically create personalized suggestions based on user information.

[0959] "Suggested content" refers to information such as specific travel destinations, activities, accommodations, etc. that is provided to the user based on the analysis results.

[0960] "Means for notifying" refers to a message delivery system or notification function for informing the user of the generated proposal content.

[0961] "User device" refers to a terminal such as a smartphone or tablet used by a user.

[0962] MODE FOR CARRYING OUT THE INVENTION

[0963] The present invention is a system for collecting, storing, and analyzing basic information and life event information of a user, and making optimal suggestions to the user. Specific embodiments of the present invention will be described below.

[0964] Program processing

[0965] Hardware and Software Use

[0966] The system utilizes the following hardware and software:

[0967] Device: Smartphone or tablet (e.g. iOS device, Android device)

[0968] Communication protocol: HTTPS

[0969] User Interface: Messaging Application

[0970] Data format: JSON

[0971] Server: Cloud server (e.g. AWS, Google Cloud)

[0972] Data storage: Relational database (e.g. MySQL, PostgreSQL)

[0973] Analysis algorithm: Machine learning model

[0974] Program processing flow

[0975] The user first inputs basic information via the terminal, including gender, age, occupation, family composition, etc. This information is input using the interface of the messaging application.

[0976] The device converts the input basic information into JSON format and sends it to the server using the HTTPS protocol. The server receives this JSON data, analyzes it, and saves it in data storage.

[0977] Next, the user enters life event information, which can include past travel history, children's birthdays, important events, etc. This information is also entered through the messaging application.

[0978] The device converts the life event information into JSON format and sends it to the server, which then analyzes the information and stores it in data storage.

[0979] The server periodically scans the user's basic and life event information and uses analytical algorithms to generate personalized suggestions for each user, using machine learning models.

[0980] For example, if the user is a 35-year-old male engineer, married with two children, and has previously enjoyed skiing in Hokkaido, the server will analyze this information and determine that "the user enjoys winter activities (skiing)."Then, it will suggest "mountain tourist destinations" as recommended ski resorts for the next winter vacation.

[0981] The generated suggestions are converted to JSON format by the server and sent to the messaging application's API endpoint. The device receives the suggestions sent from the server and notifies and displays them to the user.

[0982] Specific examples

[0983] As a specific scenario, consider "travel proposal."

[0984] Let's say a user registers basic information such as "35 years old, male, engineer, married, two children (ages 8 and 5)" and life event information such as "traveled to Hokkaido in August 2022 and enjoyed skiing." In this case, the server analyzes this information and suggests "mountain tourist spots" as "recommended ski resorts for your next winter vacation."

[0985] Example prompt sentence:

[0986] "A user, a 35-year-old male engineer, married with two children (ages 8 and 5), has registered information that he traveled to Hokkaido in August 2022 and enjoyed skiing. Please suggest ski resorts that you would recommend for this user for their next winter vacation."

[0987] In this way, the present invention realizes a system that provides users with personalized and useful information at the appropriate time through each step of collecting, storing, analyzing, and generating suggestions about the user.

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

[0989] Step 1:

[0990] Enter basic information

[0991] Users enter basic information such as gender, age, occupation, and family status using the messaging application interface.

[0992] Input: Gender, age, occupation, family composition

[0993] Output: Data that contains basic information from the user

[0994] What happens: A user manually enters the required basic information into the messaging application interface.

[0995] Step 2:

[0996] Conversion of basic information

[0997] The terminal converts the basic information entered into JSON format.

[0998] Input: Basic information entered by the user

[0999] Output: Basic information converted to JSON format

[1000] Specific operation: The terminal reads the data entered by the user and converts it to JSON format using the JSON.stringify function.

[1001] Step 3:

[1002] Send basic information

[1003] The terminal transmits the converted basic information to the server using the HTTPS protocol.

[1004] Input: Basic information in JSON format

[1005] Output: Basic information sent to the server

[1006] Specific operation: The terminal sends the converted JSON data as a POST request to a specific endpoint on the server using HTTPS.

[1007] Step 4:

[1008] Saving basic information

[1009] The server analyzes the received JSON data of the basic information and saves it in data storage.

[1010] Input: Basic information received from the device in JSON format

[1011] Output: Basic information stored in data storage

[1012] Specific operation: The server parses the received JSON data using the JSON.parse function and issues an INSERT statement to the database to save the information.

[1013] Step 5:

[1014] Entering life event information

[1015] Users enter information about life events such as past travel history, children's birthdays, and important events through messaging applications.

[1016] Input: Travel history, birthdays, and other life event information

[1017] Output: Data containing life event information from users

[1018] What happens: A user manually enters life event information into a messaging application interface.

[1019] Step 6:

[1020] Life event information conversion

[1021] The device converts the entered life event information into JSON format.

[1022] Input: Life event information entered by the user

[1023] Output: Life event information converted to JSON format

[1024] Specific operation: The terminal reads the data entered by the user and converts it to JSON format using the JSON.stringify function.

[1025] Step 7:

[1026] Sending life event information

[1027] The terminal transmits the converted life event information to the server using the HTTPS protocol.

[1028] Input: Life event information in JSON format

[1029] Output: Life event information sent to the server

[1030] Specific operation: The terminal sends the converted JSON data as a POST request to a specific endpoint on the server using HTTPS.

[1031] Step 8:

[1032] Saving life event information

[1033] The server analyzes the received JSON data of the life event information and stores it in data storage.

[1034] Input: JSON format life event information received from the device

[1035] Output: Life event information saved in data storage

[1036] Specific operation: The server parses the received JSON data using the JSON.parse function and issues an INSERT statement to the database to save the information.

[1037] Step 9:

[1038] Proposal generation

[1039] The server periodically scans basic information and life event information and uses an analytical algorithm to generate recommendations for each user.

[1040] Input: Basic information and life event information obtained from data storage

[1041] Output: Generated proposals

[1042] Specific operation: The server retrieves user information from the database using a SELECT statement, sends a prompt to the generative AI model, analyzes the generated response, and constructs a proposal.

[1043] Example prompt sentence:

[1044] "A user, a 35-year-old male engineer, married with two children (ages 8 and 5), has registered information that he traveled to Hokkaido in August 2022 and enjoyed skiing. Please suggest ski resorts that you would recommend for this user for their next winter vacation."

[1045] Step 10:

[1046] Notification of proposal details

[1047] The server converts the generated suggestions into JSON format and sends them to the messaging application's API endpoint.

[1048] Input: Generated proposal

[1049] Output: JSON format of the proposal sent to the user's device

[1050] Specific behavior: The server converts the proposal into JSON format using the JSON.stringify function and sends it to a specific API endpoint of the messaging application.

[1051] Step 11:

[1052] Viewing Proposals

[1053] The terminal receives the proposal content sent from the server, notifies the user, and displays it.

[1054] Input: JSON format of the proposal received from the server

[1055] Output: Proposal displayed on the user's device

[1056] Specific operation: The device parses the received JSON data and notifies and displays it to the user through the messaging application.

[1057] (Application example 1)

[1058] 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."

[1059] In recent years, a wide variety of content has been provided on the Internet, and there is a demand for appropriate content recommendations based on individual user preferences. However, conventional systems have not been able to effectively utilize a user's basic information and life event information to recommend optimal content. This makes it difficult for users to always access content that is appropriate for them.

[1060] 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.

[1061] In this invention, the server includes means for inputting basic information such as a user's gender, age, occupation, and family structure, means for transmitting the input data of the basic information to the server, means for saving the basic information in a database, means for inputting the user's life event information, means for transmitting the life event information to the server, means for saving the life event information in the database, means for analyzing the basic information and the life event information, means for generating proposals based on the analysis results, means for notifying the user of the generated proposals, means for displaying the proposals on the user terminal, means for generating video and article recommendations based on the user's preferences, means for displaying the recommendations using the LINE API, means for optimizing the proposals using a generative AI model, and means for recommending the content using prompts to the generative AI model. This makes it possible to recommend appropriate content at the optimal time based on the user's basic information and life event information, thereby significantly improving user convenience.

[1062] "Basic information" refers to personal information such as the user's gender, age, occupation, and family composition.

[1063] "Life event information" is information about important events that the user has experienced in the past and events that are scheduled for the future.

[1064] "Server" refers to a computer system that receives basic information and life event information provided by users, and analyzes, stores, and notifies them.

[1065] A "database" is an information storage system that stores a user's basic information and life event information and can retrieve it as needed.

[1066] "Analysis" is a process in which the server understands the user's preferences and needs based on basic information and life event information, and generates appropriate suggestions.

[1067] "Suggestions" are information on travel destinations, activities, hotels, etc., as well as recommended videos and articles, provided to users based on the analysis results.

[1068] "User Device" means a device, such as a smartphone or tablet, that a User uses to receive and display Suggestions.

[1069] "Notification" refers to the act of sending information by the server to inform the user of the proposed content.

[1070] A "generative AI model" is an artificial intelligence model used to understand a user's preferences and needs and generate optimal suggestions.

[1071] A "prompt sentence" is an input sentence used to provide a generative AI model with the necessary information to generate a specific suggestion.

[1072] The system for realizing this invention begins with the user entering basic information and life event information. The user enters basic information such as gender, age, occupation, and family composition using a dedicated application. This application is installed on the user's device, such as a smartphone or tablet.

[1073] The basic information entered by the user is converted to JSON format within the application and sent to the server using the secure HTTPS protocol. The server receives this data and stores it in the appropriate database. Similarly, the user also enters information about past travel history and important life events. This information is also converted to JSON format and sent to the server to be stored in the database.

[1074] The server periodically scans basic information and life event information for each user and performs an analysis. This analysis is performed using a generative AI model. Based on the user's past behavior and preferences, the generative AI model generates the next content recommendation. This content is organized into a recommended list of videos and articles.

[1075] For example, if a user registers basic information such as "35 years old, male, engineer, married, with two children (ages 8 and 5)" and a past life event such as "traveled to Hokkaido in August 2022 and enjoyed skiing," the server will analyze this information and conclude that "the user enjoys winter activities (skiing)." Based on this, the server will recommend movies and video content such as "recommended ski trips" and ski-related videos.

[1076] The generated suggestions are sent to the user's device by the server using the LINE API, etc., and are notified at the appropriate time. By displaying them on the user's device, the user can instantly watch the appropriate content.

[1077] An example of a specific prompt for a generative AI model is as follows:

[1078] User Information: {

[1079] Age: 35,

[1080] "Gender": "Male",

[1081] "Occupation": "Engineer",

[1082] "Family Composition": {

[1083] "Married": True,

[1084] "Children": 2

[1085] },

[1086] "Life Events": [

[1087] {

[1088] "Event": "Traveled to Hokkaido in August 2022 and enjoyed skiing",

[1089] "Activity": "Skiing"

[1090] }

[1091] ]

[1092] }

[1093] What's your recommended next travel destination and activity?

[1094] This prompt enables the generative AI model to generate recommendations that are optimized for the user's preferences, improving the actual user experience and allowing users to easily find content that matches their lifestyle and preferences.

[1095] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[1096] Step 1:

[1097] The user enters basic information.

[1098] Users use an application installed on their smartphone or tablet to enter basic information such as their gender, age, occupation, and family composition. The entered data is converted into JSON format and sent to the server in the next step.

[1099] Step 2:

[1100] Send basic information to the server.

[1101] The terminal converts the basic information entered by the user into JSON format and sends it to the server via the HTTPS protocol. The server receives this data and stores it in the appropriate database. The input JSON data is in the following format:

[1102] json

[1103] {

[1104] "age": 35,

[1105] "gender": "male",

[1106] "occupation": "engineer",

[1107] "family": {"married": true, "children": 2}

[1108] }

[1109] Step 3:

[1110] The user enters life event information.

[1111] Users enter information about life events such as past travel history and children's birthdays through the application, which is also converted into JSON format and sent to the server in the next step.

[1112] Step 4:

[1113] The life event information is transmitted to the server.

[1114] The device converts the life event information entered by the user into JSON format and sends it to the server. The server receives this data and stores it in the appropriate database. The input JSON data is in the following format:

[1115] json

[1116] {

[1117] "life_events": [

[1118] {"event": "traveled to Hokkaido", "date": "2022-08-15", "activity": "skiing"}

[1119] ]

[1120] }

[1121] Step 5:

[1122] Analysis of basic information and life event information.

[1123] The server periodically scans the basic information and life event information stored in the database and automatically analyzes it. The analysis uses a generative AI model to identify the user's preferences and patterns. The analysis is performed by inputting the prompt sentence into the generative AI model.

[1124] User Information: {

[1125] Age: 35,

[1126] "Gender": "Male",

[1127] "Occupation": "Engineer",

[1128] "Family Composition": {

[1129] "Married": True,

[1130] "Children": 2

[1131] },

[1132] "Life Events": [

[1133] {

[1134] "Event": "Traveled to Hokkaido in August 2022 and enjoyed skiing",

[1135] "Activity": "Skiing"

[1136] }

[1137] ]

[1138] }

[1139] What's your recommended next travel destination and activity?

[1140] Step 6:

[1141] Proposal generation.

[1142] Based on the results of the analysis using the generative AI model, the server generates content (videos and articles) that match the user's interests. For example, if a user loves skiing, it will recommend videos about their next ski trip.

[1143] Step 7:

[1144] Notification of proposal contents.

[1145] The server converts the generated suggestions into JSON format and sends them to the user's device using the LINE API. This allows the user to view the recommended content on their smartphone or tablet. The JSON data of the notification is in the following format:

[1146] json

[1147] {

[1148] "type": "video",

[1149] "title": "Next Skiing Adventure in Nagano",

[1150] "url": "https: / / content.example.com / skiing_nagano"

[1151] }

[1152] Step 8:

[1153] Displaying suggestions on the user's device.

[1154] The device displays the suggestions received from the server to the user, allowing the user to access and watch the suggested videos or articles via push notifications.

[1155] 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.

[1156] In one embodiment of the present invention, a user enters basic information such as gender, age, occupation, and family composition through a terminal. Specifically, this basic information is entered using the LINE OA user interface and confirmed by pressing the send button. The terminal converts the entered basic information into JSON format and sends it to the server using a secure protocol (e.g., HTTPS). The server parses the received JSON data and stores it in a database.

[1157] Next, the user enters life event information. For example, past travel history, children's birthdays, important events, and other information can be entered on LINE OA. The device also converts the entered life event information into JSON format and sends it to the server in the same way. The server then analyzes this life event information and stores it in a database.

[1158] The server periodically scans the database for basic information and life event information to generate personalized recommendations for each user. For example, when suggesting a user's next travel destination based on their past travel history, the server uses an analytical algorithm to suggest travel destinations, activities, hotels, etc. that match the user's preferences. These recommendations are then stored in the database by the server.

[1159] The incorporation of an emotion engine also enables more personalized suggestions by analyzing user emotions. For example, it analyzes emotions from a user's text or voice input and optimizes the suggestions based on the results. The emotion engine generates suggestions that reflect the user's mood and psychological state, providing more appropriate information for the user.

[1160] The generated suggestions are notified to the user by the server at the appropriate time. The server converts the suggestions into JSON format and sends it to the LINE OA API endpoint. The device then notifies and displays the suggestions to the user.

[1161] As an example, consider a scenario in which travel suggestions are made that take emotions into consideration. Suppose a user registers basic information such as "35 years old, male, engineer, married, with two children (ages 8 and 5)" and also registers information such as "I enjoyed skiing in Hokkaido in August 2022" as a past life event. If the user further enters text such as "I've been feeling stressed lately," the server analyzes this emotional information using its emotion engine and determines that "I need a relaxing travel destination." Based on this, it generates a suggestion for "A relaxing hot spring inn for your next winter vacation." The server notifies the user of this suggestion via LINE OA, and the device receives and displays the notification.

[1162] The emotion engine's functionality also improves birthday reminder and gift suggestion scenarios. For example, if a user registers their child's birthday, "May 15, 2023," and asks, "What is my child interested in these days?", the emotion engine will analyze the child's recent interests from past conversation history. As a result, it will generate a suggestion that "8-year-old boys have recently become interested in soccer," and notify the user that "a soccer ball is recommended" along with the reminder. In this way, users can plan ahead and prepare for life events, and also choose appropriate gifts that are in line with their child's interests.

[1163] As described above, the present invention realizes a system that provides useful and personalized information to users at the appropriate time through each step of user information registration, analysis, emotion analysis using an emotion engine, proposal generation, and notification.

[1164] The processing flow will be explained below.

[1165] Step 1:

[1166] Users enter basic information such as gender, age, occupation, and family composition through the LINE OA user interface. The input information is confirmed by pressing the send button.

[1167] Step 2:

[1168] The device converts the input data into JSON format, which is then sent to the server via a secure protocol (e.g., HTTPS).

[1169] Step 3:

[1170] The server parses the received JSON data and extracts information such as gender, age, occupation, family composition, etc. The extracted information is stored in a database.

[1171] Step 4:

[1172] The user enters information about life events such as travel history and birthdays on LINE OA. After entering the information, the user presses the send button to confirm.

[1173] Step 5:

[1174] The device converts the entered life event information into JSON format and sends it to the server using a secure protocol.

[1175] Step 6:

[1176] The server parses the received life event information and extracts the event name, date, location, and specific activity details. The extracted information is stored in a database.

[1177] Step 7:

[1178] Users input their current emotional state through text or voice. This emotional information is sent via LINE OA.

[1179] Step 8:

[1180] The device converts the emotional information into JSON format and sends it to the server using a secure protocol.

[1181] Step 9:

[1182] The emotion information received by the server is analyzed by the emotion engine, and the analysis result is the user's emotional state (e.g., stress, relaxation, excitement, etc.).

[1183] Step 10:

[1184] The server periodically scans the database for basic information, life event information, and emotion information and executes SQL queries to retrieve recently updated information.

[1185] Step 11:

[1186] The server analyzes the acquired user information and generates suggestions based on the results of the emotion engine. For example, it suggests relaxing travel destinations based on the user's past travel history and current emotional state.

[1187] Step 12:

[1188] The server saves the generated proposal to the database. It inserts a record into the proposal table containing the user ID, proposal content, and proposal date and time.

[1189] Step 13:

[1190] The server executes a query to obtain proposals that require notification from the database, and extracts proposals that have not yet been notified.

[1191] Step 14:

[1192] The server converts the proposal content into JSON format and sends it to the LINE OA API endpoint. The proposal content is then sent to the user as a notification.

[1193] Step 15:

[1194] The device notifies the user of the received suggestion, which is displayed as a message in the user's chat interface using the LINE OA notification function.

[1195] Step 16:

[1196] The user reviews the recommendations and takes action as needed, for example, by searching or booking a travel destination.

[1197] As described above, the present invention realizes a system that provides useful and personalized information to users at appropriate times through each step of user information registration, analysis, emotion analysis using an emotion engine, proposal generation, and notification.

[1198] Example 2

[1199] 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."

[1200] Conventional personalization systems typically simply analyze a user's basic information and life event information and make suggestions based on that. However, because the system does not reflect the user's emotions or psychological state, the suggestions often do not match the user's current mood or psychological state. As a result, the system may make suggestions that are not useful to the user, reducing the system's value.

[1201] The identification process by the identification processing unit 290 of the data processing device 12 in Example 2 is realized by the following means. In this invention, the server includes means for inputting basic information such as the user's gender, age, occupation, and family structure, means for transmitting the input data of the basic information to the server, means for saving the basic information in a database, means for inputting the user's life event information, means for transmitting the life event information to the server, means for saving the life event information in the database, means for analyzing the basic information and the life event information, means for generating proposal content based on the analysis results, means for notifying the user of the generated proposal content, means for displaying the proposal content on the user terminal, and means for analyzing the user's emotions using an emotion analysis engine and optimizing the proposal content. This makes it possible to provide more personalized and useful information that takes into account the user's current emotions and psychological state.

[1202] "Basic information" refers to basic information about the user, such as the user's gender, age, occupation, and family composition.

[1203] "Life event information" is information about events related to the user's life, such as past travel history and important events.

[1204] A "terminal" is a device used by a user to input information and communicate with a server.

[1205] The "server" is a central processing unit that analyzes received data, generates proposals, and notifies them.

[1206] "Database" is a data management system for storing basic information and life event information.

[1207] An "analysis algorithm" is a program that analyzes user information and generates appropriate suggestions.

[1208] "Suggestions" are information or recommendations generated based on the analysis results and provided to users.

[1209] An "emotion analysis engine" is software that analyzes emotions from a user's text or voice input and optimizes the content of suggestions.

[1210] The "HTTPS protocol" is a communication protocol for securely transmitting data.

[1211] "JSON format" is a data exchange format for structuring user input information and sending it to a server.

[1212] In an embodiment of the present invention, a user first inputs basic information using a terminal, such as the user's gender, age, occupation, and family composition, through the LINE Official Account (LINE OA) interface, and then confirms the information by pressing the send button.

[1213] The device converts the input basic information into JSON format and sends it to the server using the HTTPS protocol. The server analyzes the received JSON data and stores the basic information in a database.

[1214] Next, the user enters life event information. This is done by entering information such as past travel history and important events on LINE OA. Here too, the device converts the entered information into JSON format and sends it to the server. The server also receives the life event information, analyzes it, and stores it in a database.

[1215] Based on this basic information and life event information, the server uses an analysis algorithm to generate suggestions. As a specific example, it is possible to suggest the next travel destination based on the user's past travel history. For example, if a user has registered life event information such as "enjoyed skiing in Hokkaido in August 2022," the server could generate a "relaxing trip to a hot spring resort" for the next trip.

[1216] Furthermore, by using an emotion analysis engine, the present invention can analyze the user's emotions and provide more personalized suggestions. It is possible to extract emotions from the user's text or voice input and make optimal suggestions based on that state. For example, if a user inputs, "I've been feeling stressed lately," the system analyzes that emotional information and determines, "I need a relaxing travel destination."

[1217] The generated suggestions are notified to the user by the server at the appropriate time. The server converts the suggestions into JSON format and sends it to the LINE OA API endpoint. The device receives this notification and displays the suggestions to the user.

[1218] As a specific example, consider the case where a user registers basic information such as "35 years old, male, engineer, married, with two children (ages 8 and 5)" and a past life event such as "I enjoyed skiing in Hokkaido in August 2022." If the user further enters text such as "I've been feeling stressed lately," the server will use its emotion analysis engine to determine that "I need a relaxing vacation destination" and suggest "A relaxing hot spring inn for your next winter vacation." The user is notified of this suggestion via LINE OA, and the device receives and displays the notification.

[1219] An example of a prompt sentence might be:

[1220] Example 1: Travel proposal

[1221] Let's say the user is a 35-year-old male engineer, married with two children (ages 8 and 5), and wants to go skiing in Hokkaido in August 2022. He has mentioned that he has been feeling stressed recently. Please suggest a travel destination.

[1222] Example 2: Birthday reminder

[1223] A user has registered their child's birthday, May 15, 2023, and asked about their child's recent interests. Analyze their past conversation history to find out what their child is interested in these days and generate suggestions.

[1224] In this way, the present invention realizes a system that provides useful and personalized information to users at the appropriate time through each step of user information registration, analysis, analysis using a sentiment analysis engine, proposal generation, and notification.

[1225] The flow of the identification process in the second embodiment will be described with reference to FIG.

[1226] Step 1:

[1227] Enter and submit basic information

[1228] The user uses the device to enter basic information (gender, age, occupation, family composition, etc.) into the LINE Official Account (LINE OA) interface. When the send button is pressed, the device converts this information into JSON format. The converted JSON data is sent to the server via the HTTPS protocol.

[1229] Input: Gender, age, occupation, family composition

[1230] Data processing: Convert input information into JSON format

[1231] Output: Send JSON data to the server

[1232] Specific operation: The user enters information such as "Gender: Male" and "Age: 35" into LINE OA and clicks the send button. The device acquires this information, converts it into JSON format data, and sends it to the server via HTTPS.

[1233] Step 2:

[1234] Receiving and storing basic information

[1235] The server analyzes the received basic information in JSON format and stores the analysis results in a database.

[1236] Input: Basic information in JSON format

[1237] Data processing: Parsing JSON data

[1238] Output: Analyzed basic information is saved in a database

[1239] Specific operation: The server analyzes the received JSON data and stores information such as "Gender: Male" and "Occupation: Engineer" in a database.

[1240] Step 3:

[1241] Enter and submit life event information

[1242] Users use their devices to input life event information (such as past travel history or important events) into the LINE OA interface. When they press the send button, the device also converts this information into JSON format and sends it to the server.

[1243] Input: Life event information (travel history, important events)

[1244] Data processing: Convert input information into JSON format

[1245] Output: Send JSON data to the server

[1246] Specific operation: The user enters information such as "Enjoyed skiing in Hokkaido in August 2022" or "Child's birthday: May 15, 2023" into LINE OA and clicks the send button. The device converts the information into JSON format and sends it to the server via HTTPS.

[1247] Step 4:

[1248] Receiving and storing life event information

[1249] The server analyzes the received JSON formatted life event information and stores the analysis results in a database.

[1250] Input: Life event information in JSON format

[1251] Data processing: Parsing JSON data

[1252] Output: Analyzed life event information saved in a database

[1253] Specific operation: The server analyzes the received JSON data and saves information such as "Enjoyed skiing in Hokkaido in August 2022" and "Child's birthday: 5 / 15 / 2023" in a database.

[1254] Step 5:

[1255] Regularly scan your data and generate recommendations

[1256] The server periodically scans the database for basic information and life event information. Based on this data, an analytical algorithm is used to generate personalized recommendations for each user. For example, it may suggest a next trip destination based on past travel history.

[1257] Input: Basic information, life event information

[1258] Data processing: Scanning data and generating recommendations using analytical algorithms

[1259] Output: Suggested content (next travel destination, etc.)

[1260] Specific operation: The server periodically scans the database and analyzes information such as "gender: male," "occupation: engineer," and "past travel history," generating suggestions such as "next travel destination: hot spring resort."

[1261] Step 6:

[1262] Optimizing proposal content using a sentiment analysis engine

[1263] The server analyzes the user's emotions from text and voice input, and optimizes the suggestions based on the results of this analysis. For example, if a user writes, "I've been feeling stressed lately," the server will suggest "relaxing travel destinations" based on that emotion.

[1264] Input: User text input, voice input

[1265] Data processing: Sentiment analysis using an emotion analysis engine

[1266] Output: Optimized proposals

[1267] Specific operation: If a user enters text such as "I've been feeling stressed lately," the sentiment analysis engine will determine that "I need a relaxing travel destination" and suggest "a relaxing hot spring inn in a hot spring resort."

[1268] Step 7:

[1269] Notification of proposal details

[1270] The server converts the suggestions into JSON format and sends them to the LINE OA API endpoint. The device receives this notification and displays the suggestions to the user.

[1271] Input: Optimized suggestions

[1272] Data processing: Convert proposals into JSON format

[1273] Output: Notify and display on user terminal

[1274] Specific operation: The server sends the suggestion to the LINE OA API in JSON format, saying, "Your next travel destination is a hot spring resort." The device receives the notification and displays a message to the user on LINE OA saying, "We suggest a hot spring inn where you can relax during your next winter vacation."

[1275] (Application example 2)

[1276] 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."

[1277] Conventional systems provide fixed recommendations based on a user's basic information and life event information, making it difficult to provide personalized recommendations that reflect the user's real-time emotions and psychological state. Furthermore, even in the shopping experience at a physical store, recommendations that take into account the user's momentary emotions and current mood are insufficient, and optimal recommendations to increase user satisfaction are not provided.

[1278] 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.

[1279] In this invention, the server includes a means for analyzing a user's emotions, a means for optimizing the content of suggestions based on the emotion analysis results, and a means for making shopping suggestions in real time based on the user's input, thereby enabling personalized shopping suggestions based on the user's emotions and psychological state.

[1280] "Basic information" refers to personal information such as the user's gender, age, occupation, and family composition.

[1281] "Life event information" refers to information related to the user's life, such as the user's past travel history or important family events.

[1282] "Emotion analysis means" refers to algorithms or technologies that determine a user's emotional state from text or voice input.

[1283] "Suggestions based on analysis results" refers to recommendations and information generated based on the basic information and life event information provided by the user, as well as the results of sentiment analysis.

[1284] "User Device" refers to the device a User uses to enter information or receive suggestions, such as a smartphone, tablet, or computer.

[1285] "Means of notification" refers to the communication means or technology used to notify users of the generated suggestions.

[1286] "Real-time shopping suggestion methods" refers to technologies and algorithms that instantly suggest appropriate products or services based on a user's current input.

[1287] "Means for optimizing proposal content based on the results of emotion analysis" refers to technologies and mechanisms that adjust proposal content to be more personalized according to the user's emotional state.

[1288] A specific embodiment of the present invention is a shopping support system for smartphone-based users, which collects basic information and life event information of users and performs emotion analysis to provide personalized product suggestions in real time.

[1289] The system includes the following processes:

[1290] First, the user enters basic information through a smartphone app, including gender, age, occupation, and family composition. The entered information is converted to JSON format and sent to the server using the HTTPS protocol. The server then analyzes the received JSON data and stores it in a database.

[1291] Next, the user enters life event information, such as past travel history or important family events. This life event information is also converted into JSON format and sent to the server using the HTTPS protocol. The server then stores this information in a database.

[1292] Next, emotion analysis is performed. The user's current emotional state is determined by analyzing the text and voice data entered by the user through the smartphone app. For example, if a user enters "I've been feeling stressed lately," the emotion analysis engine will analyze this and output the result "I'm feeling stressed." The analysis results are stored on the server.

[1293] The server scans the database for basic information, life event information, and sentiment analysis results, and generates recommendations based on this data. These recommendations include products and services that best fit the user's behavior, preferences, and current state of mind. This information is also converted into JSON format and sent to the smartphone app.

[1294] The smartphone app will then present the suggested products to the user. For example, if the app detects that the user has been feeling stressed recently, it will suggest relaxing aroma candles or hot spring inns. The user can then use these suggestions to help them choose products and services.

[1295] This embodiment of the present invention is programmed using the Python language. It is recommended to use an external sentiment analysis API or generative AI model for sentiment analysis. For example, Google Cloud Natural Language API or IBM Watson Natural Language Understanding can be used. Data is transmitted and received securely using the HTTPS protocol.

[1296] For example, if a user, a 35-year-old male engineer with a wife and an 8-year-old child, enters into the app that he has been feeling stressed lately, the system will analyze this and suggest products and services that have a relaxing effect. As a result, the user will be shown "relaxing aroma candles" and "hot spring hotel reservation information."

[1297] An example of a prompt is as follows:

[1298] Enter basic user information:

[1299] Name: Yamada Taro

[1300] Age: 35

[1301] Gender: Male

[1302] Occupation: Engineer

[1303] Family: Wife and 8-year-old child

[1304] Emotional state: I've been feeling stressed lately

[1305] In this way, the present invention provides a system that improves the user's shopping experience by making optimal suggestions in real time based on the user's basic information, life event information, and emotion analysis results.

[1306] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[1307] Step 1:

[1308] The user opens the smartphone app and enters basic information (gender, age, occupation, family composition). After entering the information, this information is converted into JSON format. The converted JSON data is sent to the server using the HTTPS protocol. The server analyzes the received JSON data and stores it in a database.

[1309] Input: User basic information

[1310] Data processing: Convert to JSON format

[1311] Output: Converted basic information JSON data sent to the server

[1312] Step 2:

[1313] Next, the user inputs life event information (such as past travel history or important family events), which is also converted into JSON format and sent to the server using the HTTPS protocol. The server then stores the received life event information in a database.

[1314] Input: User's life event information

[1315] Data processing: Convert to JSON format

[1316] Output: Converted life event information JSON data sent to the server

[1317] Step 3:

[1318] The user inputs their emotional state into the app, such as "I've been feeling stressed lately." The emotion analysis engine analyzes this text data and determines the user's emotional state as "feeling stressed." The analysis results are stored on the server.

[1319] Input: Text data of the user's emotional state

[1320] Data processing: Analysis using emotion analysis engine

[1321] Output: Save analysis results to the server

[1322] Step 4:

[1323] The server periodically scans basic information, life event information, and emotion analysis results, analyzes the scanned data, and generates optimal suggestions for the user.

[1324] Input: Basic information stored in the database, life event information, emotion analysis results

[1325] Data processing: Regular scanning and data analysis

[1326] Output: Generate optimal proposals

[1327] Step 5:

[1328] The generated suggestions are converted into JSON format and sent to the user's smartphone app, which then receives the notification and displays the suggestions to the user.

[1329] Input: Generated proposal

[1330] Data processing: Convert to JSON format and notify

[1331] Output: Display of suggestions on a smartphone app

[1332] Step 6:

[1333] Users can choose an action based on the suggestions, such as purchasing a relaxing aroma candle or booking a hot spring resort.

[1334] Input: Proposal

[1335] Data processing: User selection

[1336] Output: Example of selected action execution

[1337] 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.

[1338] 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.

[1339] 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.

[1340] [Fourth embodiment]

[1341] FIG. 7 shows an example of the configuration of a data processing system 410 according to the fourth embodiment.

[1342] 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.

[1343] 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).

[1344] 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.

[1345] 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.

[1346] 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).

[1347] 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.

[1348] 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.

[1349] 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.

[1350] 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.

[1351] 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.

[1352] 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.

[1353] 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."

[1354] In one embodiment of the present invention, a user enters basic information such as gender, age, occupation, and family composition through a terminal. Specifically, this basic information is entered and transmitted using the LINE OA user interface. The terminal converts the entered basic information into JSON format and transmits it to a server using a secure protocol (e.g., HTTPS). The server analyzes the received JSON data and stores it in an appropriate database.

[1355] Next, the user enters life event information. For example, past travel history, children's birthdays, important events, and other information can be entered on LINE OA. The device also converts the entered life event information into JSON format and sends it to the server in the same way. The server then analyzes this life event information and stores it in a database.

[1356] The server periodically scans the database for basic information and life event information to generate personalized recommendations for each user. For example, when suggesting a user's next travel destination based on their past travel history, the server uses an analytical algorithm to suggest travel destinations, activities, hotels, etc. that match the user's preferences. These recommendations are then stored in the database by the server.

[1357] The generated suggestions are notified to the user by the server at the appropriate time. The server converts the suggestions into JSON format and sends it to the LINE OA API endpoint, which then displays the suggestions to the user on the device.

[1358] As an example, consider a scenario in which travel suggestions are made. A user registers basic information such as "35 years old, male, engineer, married, with two children (ages 8 and 5)" and also registers information about a past life event, "traveled to Hokkaido in August 2022 and enjoyed skiing." The server analyzes this information and determines that "the user enjoys winter activities (skiing)." Based on this, around June 2023, it generates information about "Hakuba in Nagano" as a "recommended ski resort for the next winter vacation (around December)." The server notifies the user of this suggestion via LINE OA, and the device receives and displays the notification.

[1359] Birthday reminder and gift suggestion scenarios are also effective. For example, if a user registers their child's birthday as "May 15, 2023," the server will generate a reminder a few days before the birthday and send a suggestion such as "A soccer ball is recommended for 8-year-old boys." In this way, users can plan and prepare for life events, ensuring a regret-free experience.

[1360] As described above, the present invention realizes a system that provides useful information to users at appropriate times through each step of user information registration, analysis, proposal generation, and notification.

[1361] The processing flow will be explained below.

[1362] Step 1:

[1363] Users enter basic information such as gender, age, occupation, and family composition through the LINE OA user interface. The entered information is confirmed by pressing the send button.

[1364] Step 2:

[1365] The device converts the input data into JSON format, which is then sent to the server via a secure protocol (e.g., HTTPS).

[1366] Step 3:

[1367] The server parses the received JSON data and extracts information such as gender, age, occupation, family composition, etc. The extracted information is stored in a database.

[1368] Step 4:

[1369] The user enters information about life events such as past travel history and children's birthdays on LINE OA. After entering the information, the user presses the send button to confirm.

[1370] Step 5:

[1371] The device converts the entered life event information into JSON format and sends it to the server using a secure protocol.

[1372] Step 6:

[1373] The server parses the received life event information and extracts information such as the event name, date, location, and specific activity details. The extracted information is stored in a database.

[1374] Step 7:

[1375] The server periodically scans the database for basic and life event information, using SQL queries to retrieve recently updated user information.

[1376] Step 8:

[1377] The server analyzes the acquired user information and generates the necessary suggestions, for example, by running an algorithm that suggests the next travel destination based on the user's past travel history.

[1378] Step 9:

[1379] The server saves the generated suggestion to the database. It inserts a record into the suggestion table containing the user ID, suggestion, and suggestion date and time.

[1380] Step 10:

[1381] The server executes a query to retrieve from the database the proposals that need to be notified. It also extracts proposals that have not yet been notified.

[1382] Step 11:

[1383] The server converts the suggestion content into JSON format and sends it to the LINE OA API endpoint, where it is sent to the user as a notification.

[1384] Step 12:

[1385] The device will notify the user of the received suggestion, which will be displayed as a message in the user's chat interface using LINE OA's notification function.

[1386] Step 13:

[1387] The user reviews the recommendations and takes action as needed, for example, by searching or booking a travel destination.

[1388] Example 1

[1389] 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."

[1390] Conventional systems have had difficulty efficiently collecting, storing, and analyzing users' basic information and life event information to provide optimal suggestions to users. Furthermore, personalized suggestions based on users' preferences and past behavioral history were rarely provided in real time. This meant that users could not receive information and services tailored to them at the appropriate time, resulting in low convenience.

[1391] 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.

[1392] In this invention, the server includes means for inputting basic information such as a user's gender, age, occupation, and family structure, means for transmitting the input data of the basic information to an information processing device, means for saving the basic information in a data storage, means for inputting the user's life event information, means for transmitting the life event information to the information processing device, means for saving the life event information in the data storage, means for analyzing the basic information and the life event information, means for generating proposal content based on the analysis results using a generative model, means for notifying the user of the generated proposal content, and means for displaying the proposal content on the user's device. This makes it possible to efficiently collect, save, and analyze the user's basic information and life event information, and to make personalized proposals to the user at appropriate times.

[1393] "Basic information" refers to basic attribute information such as the user's gender, age, occupation, and family structure.

[1394] "Life event information" refers to information related to the user's life, such as past travel history, children's birthdays, and important events.

[1395] "Information processing device" refers to a computer system that receives, analyzes, stores, and processes data sent by a user.

[1396] "Data storage" refers to databases and other storage devices for storing baseline and life event information.

[1397] "Means of analysis" refers to algorithms and software that process basic information and life event information to extract information that is useful to the user.

[1398] "Generative models" refer to machine learning models and AI systems that automatically create personalized suggestions based on user information.

[1399] "Suggested content" refers to information such as specific travel destinations, activities, accommodations, etc. that is provided to the user based on the analysis results.

[1400] "Means for notifying" refers to a message delivery system or notification function for informing the user of the generated proposal content.

[1401] "User device" refers to a terminal such as a smartphone or tablet used by a user.

[1402] MODE FOR CARRYING OUT THE INVENTION

[1403] The present invention is a system for collecting, storing, and analyzing basic information and life event information of a user, and making optimal suggestions to the user. Specific embodiments of the present invention will be described below.

[1404] Program processing

[1405] Hardware and Software Use

[1406] The system utilizes the following hardware and software:

[1407] Device: Smartphone or tablet (e.g. iOS device, Android device)

[1408] Communication protocol: HTTPS

[1409] User Interface: Messaging Application

[1410] Data format: JSON

[1411] Server: Cloud server (e.g. AWS, Google Cloud)

[1412] Data storage: Relational database (e.g. MySQL, PostgreSQL)

[1413] Analysis algorithm: Machine learning model

[1414] Program processing flow

[1415] The user first inputs basic information via the terminal, including gender, age, occupation, family composition, etc. This information is input using the interface of the messaging application.

[1416] The device converts the input basic information into JSON format and sends it to the server using the HTTPS protocol. The server receives this JSON data, analyzes it, and saves it in data storage.

[1417] Next, the user enters life event information, which can include past travel history, children's birthdays, important events, etc. This information is also entered through the messaging application.

[1418] The device converts the life event information into JSON format and sends it to the server, which then analyzes the information and stores it in data storage.

[1419] The server periodically scans the user's basic and life event information and uses analytical algorithms to generate personalized suggestions for each user, using machine learning models.

[1420] For example, if the user is a 35-year-old male engineer, married with two children, and has previously enjoyed skiing in Hokkaido, the server will analyze this information and determine that "the user enjoys winter activities (skiing)."Then, it will suggest "mountain tourist destinations" as recommended ski resorts for the next winter vacation.

[1421] The generated suggestions are converted to JSON format by the server and sent to the messaging application's API endpoint. The device receives the suggestions sent from the server and notifies and displays them to the user.

[1422] Specific examples

[1423] As a specific scenario, consider "travel proposal."

[1424] Let's say a user registers basic information such as "35 years old, male, engineer, married, two children (ages 8 and 5)" and life event information such as "traveled to Hokkaido in August 2022 and enjoyed skiing." In this case, the server analyzes this information and suggests "mountain tourist spots" as "recommended ski resorts for your next winter vacation."

[1425] Example prompt sentence:

[1426] "A user, a 35-year-old male engineer, married with two children (ages 8 and 5), has registered information that he traveled to Hokkaido in August 2022 and enjoyed skiing. Please suggest ski resorts that you would recommend for this user for their next winter vacation."

[1427] In this way, the present invention realizes a system that provides users with personalized and useful information at the appropriate time through each step of collecting, storing, analyzing, and generating suggestions about the user.

[1428] The flow of the identification process in the first embodiment will be described with reference to FIG.

[1429] Step 1:

[1430] Enter basic information

[1431] Users enter basic information such as gender, age, occupation, and family status using the messaging application interface.

[1432] Input: Gender, age, occupation, family composition

[1433] Output: Data that contains basic information from the user

[1434] What happens: A user manually enters the required basic information into the messaging application interface.

[1435] Step 2:

[1436] Conversion of basic information

[1437] The terminal converts the basic information entered into JSON format.

[1438] Input: Basic information entered by the user

[1439] Output: Basic information converted to JSON format

[1440] Specific operation: The terminal reads the data entered by the user and converts it to JSON format using the JSON.stringify function.

[1441] Step 3:

[1442] Send basic information

[1443] The terminal transmits the converted basic information to the server using the HTTPS protocol.

[1444] Input: Basic information in JSON format

[1445] Output: Basic information sent to the server

[1446] Specific operation: The terminal sends the converted JSON data as a POST request to a specific endpoint on the server using HTTPS.

[1447] Step 4:

[1448] Saving basic information

[1449] The server analyzes the received JSON data of the basic information and saves it in data storage.

[1450] Input: Basic information received from the device in JSON format

[1451] Output: Basic information stored in data storage

[1452] Specific operation: The server parses the received JSON data using the JSON.parse function and issues an INSERT statement to the database to save the information.

[1453] Step 5:

[1454] Entering life event information

[1455] Users enter information about life events such as past travel history, children's birthdays, and important events through messaging applications.

[1456] Input: Travel history, birthdays, and other life event information

[1457] Output: Data containing life event information from users

[1458] What happens: A user manually enters life event information into a messaging application interface.

[1459] Step 6:

[1460] Life event information conversion

[1461] The device converts the entered life event information into JSON format.

[1462] Input: Life event information entered by the user

[1463] Output: Life event information converted to JSON format

[1464] Specific operation: The terminal reads the data entered by the user and converts it to JSON format using the JSON.stringify function.

[1465] Step 7:

[1466] Sending life event information

[1467] The terminal transmits the converted life event information to the server using the HTTPS protocol.

[1468] Input: Life event information in JSON format

[1469] Output: Life event information sent to the server

[1470] Specific operation: The terminal sends the converted JSON data as a POST request to a specific endpoint on the server using HTTPS.

[1471] Step 8:

[1472] Saving life event information

[1473] The server analyzes the received JSON data of the life event information and stores it in data storage.

[1474] Input: JSON format life event information received from the device

[1475] Output: Life event information saved in data storage

[1476] Specific operation: The server parses the received JSON data using the JSON.parse function and issues an INSERT statement to the database to save the information.

[1477] Step 9:

[1478] Proposal generation

[1479] The server periodically scans basic information and life event information and uses an analytical algorithm to generate recommendations for each user.

[1480] Input: Basic information and life event information obtained from data storage

[1481] Output: Generated proposals

[1482] Specific operation: The server retrieves user information from the database using a SELECT statement, sends a prompt to the generative AI model, analyzes the generated response, and constructs a proposal.

[1483] Example prompt sentence:

[1484] "A user, a 35-year-old male engineer, married with two children (ages 8 and 5), has registered information that he traveled to Hokkaido in August 2022 and enjoyed skiing. Please suggest ski resorts that you would recommend for this user for their next winter vacation."

[1485] Step 10:

[1486] Notification of proposal details

[1487] The server converts the generated suggestions into JSON format and sends them to the messaging application's API endpoint.

[1488] Input: Generated proposal

[1489] Output: JSON format of the proposal sent to the user's device

[1490] Specific behavior: The server converts the proposal into JSON format using the JSON.stringify function and sends it to a specific API endpoint of the messaging application.

[1491] Step 11:

[1492] Viewing Proposals

[1493] The terminal receives the proposal content sent from the server, notifies the user, and displays it.

[1494] Input: JSON format of the proposal received from the server

[1495] Output: Proposal displayed on the user's device

[1496] Specific operation: The device parses the received JSON data and notifies and displays it to the user through the messaging application.

[1497] (Application example 1)

[1498] 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."

[1499] In recent years, a wide variety of content has been provided on the Internet, and there is a demand for appropriate content recommendations based on individual user preferences. However, conventional systems have not been able to effectively utilize a user's basic information and life event information to recommend optimal content. This makes it difficult for users to always access content that is appropriate for them.

[1500] 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.

[1501] In this invention, the server includes means for inputting basic information such as a user's gender, age, occupation, and family structure, means for transmitting the input data of the basic information to the server, means for saving the basic information in a database, means for inputting the user's life event information, means for transmitting the life event information to the server, means for saving the life event information in the database, means for analyzing the basic information and the life event information, means for generating proposals based on the analysis results, means for notifying the user of the generated proposals, means for displaying the proposals on the user terminal, means for generating video and article recommendations based on the user's preferences, means for displaying the recommendations using the LINE API, means for optimizing the proposals using a generative AI model, and means for recommending the content using prompts to the generative AI model. This makes it possible to recommend appropriate content at the optimal time based on the user's basic information and life event information, thereby significantly improving user convenience.

[1502] "Basic information" refers to personal information such as the user's gender, age, occupation, and family composition.

[1503] "Life event information" is information about important events that the user has experienced in the past and events that are scheduled for the future.

[1504] "Server" refers to a computer system that receives basic information and life event information provided by users, and analyzes, stores, and notifies them.

[1505] A "database" is an information storage system that stores a user's basic information and life event information and can retrieve it as needed.

[1506] "Analysis" is a process in which the server understands the user's preferences and needs based on basic information and life event information, and generates appropriate suggestions.

[1507] "Suggestions" are information on travel destinations, activities, hotels, etc., as well as recommended videos and articles, provided to users based on the analysis results.

[1508] "User Device" means a device, such as a smartphone or tablet, that a User uses to receive and display Suggestions.

[1509] "Notification" refers to the act of sending information by the server to inform the user of the proposed content.

[1510] A "generative AI model" is an artificial intelligence model used to understand a user's preferences and needs and generate optimal suggestions.

[1511] A "prompt sentence" is an input sentence used to provide a generative AI model with the necessary information to generate a specific suggestion.

[1512] The system for realizing this invention begins with the user entering basic information and life event information. The user enters basic information such as gender, age, occupation, and family composition using a dedicated application. This application is installed on the user's device, such as a smartphone or tablet.

[1513] The basic information entered by the user is converted to JSON format within the application and sent to the server using the secure HTTPS protocol. The server receives this data and stores it in the appropriate database. Similarly, the user also enters information about past travel history and important life events. This information is also converted to JSON format and sent to the server to be stored in the database.

[1514] The server periodically scans basic information and life event information for each user and performs an analysis. This analysis is performed using a generative AI model. Based on the user's past behavior and preferences, the generative AI model generates the next content recommendation. This content is organized into a recommended list of videos and articles.

[1515] For example, if a user registers basic information such as "35 years old, male, engineer, married, with two children (ages 8 and 5)" and a past life event such as "traveled to Hokkaido in August 2022 and enjoyed skiing," the server will analyze this information and conclude that "the user enjoys winter activities (skiing)." Based on this, the server will recommend movies and video content such as "recommended ski trips" and ski-related videos.

[1516] The generated suggestions are sent to the user's device by the server using the LINE API, etc., and are notified at the appropriate time. By displaying them on the user's device, the user can instantly watch the appropriate content.

[1517] An example of a specific prompt for a generative AI model is as follows:

[1518] User Information: {

[1519] Age: 35,

[1520] "Gender": "Male",

[1521] "Occupation": "Engineer",

[1522] "Family Composition": {

[1523] "Married": True,

[1524] "Children": 2

[1525] },

[1526] "Life Events": [

[1527] {

[1528] "Event": "Traveled to Hokkaido in August 2022 and enjoyed skiing",

[1529] "Activity": "Skiing"

[1530] }

[1531] ]

[1532] }

[1533] What's your recommended next travel destination and activity?

[1534] This prompt enables the generative AI model to generate recommendations that are optimized for the user's preferences, improving the actual user experience and allowing users to easily find content that matches their lifestyle and preferences.

[1535] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[1536] Step 1:

[1537] The user enters basic information.

[1538] Users use an application installed on their smartphone or tablet to enter basic information such as their gender, age, occupation, and family composition. The entered data is converted into JSON format and sent to the server in the next step.

[1539] Step 2:

[1540] Send basic information to the server.

[1541] The terminal converts the basic information entered by the user into JSON format and sends it to the server via the HTTPS protocol. The server receives this data and stores it in the appropriate database. The input JSON data is in the following format:

[1542] json

[1543] {

[1544] "age": 35,

[1545] "gender": "male",

[1546] "occupation": "engineer",

[1547] "family": {"married": true, "children": 2}

[1548] }

[1549] Step 3:

[1550] The user enters life event information.

[1551] Users enter information about life events such as past travel history and children's birthdays through the application, which is also converted into JSON format and sent to the server in the next step.

[1552] Step 4:

[1553] The life event information is transmitted to the server.

[1554] The device converts the life event information entered by the user into JSON format and sends it to the server. The server receives this data and stores it in the appropriate database. The input JSON data is in the following format:

[1555] json

[1556] {

[1557] "life_events": [

[1558] {"event": "traveled to Hokkaido", "date": "2022-08-15", "activity": "skiing"}

[1559] ]

[1560] }

[1561] Step 5:

[1562] Analysis of basic information and life event information.

[1563] The server periodically scans the basic information and life event information stored in the database and automatically analyzes it. The analysis uses a generative AI model to identify the user's preferences and patterns. The analysis is performed by inputting the prompt sentence into the generative AI model.

[1564] User Information: {

[1565] Age: 35,

[1566] "Gender": "Male",

[1567] "Occupation": "Engineer",

[1568] "Family Composition": {

[1569] "Married": True,

[1570] "Children": 2

[1571] },

[1572] "Life Events": [

[1573] {

[1574] "Event": "Traveled to Hokkaido in August 2022 and enjoyed skiing",

[1575] "Activity": "Skiing"

[1576] }

[1577] ]

[1578] }

[1579] What's your recommended next travel destination and activity?

[1580] Step 6:

[1581] Proposal generation.

[1582] Based on the results of the analysis using the generative AI model, the server generates content (videos and articles) that match the user's interests. For example, if a user loves skiing, it will recommend videos about their next ski trip.

[1583] Step 7:

[1584] Notification of proposal contents.

[1585] The server converts the generated suggestions into JSON format and sends them to the user's device using the LINE API. This allows the user to view the recommended content on their smartphone or tablet. The JSON data of the notification is in the following format:

[1586] json

[1587] {

[1588] "type": "video",

[1589] "title": "Next Skiing Adventure in Nagano",

[1590] "url": "https: / / content.example.com / skiing_nagano"

[1591] }

[1592] Step 8:

[1593] Displaying suggestions on the user's device.

[1594] The device displays the suggestions received from the server to the user, allowing the user to access and watch the suggested videos or articles via push notifications.

[1595] 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.

[1596] In one embodiment of the present invention, a user enters basic information such as gender, age, occupation, and family composition through a terminal. Specifically, this basic information is entered using the LINE OA user interface and confirmed by pressing the send button. The terminal converts the entered basic information into JSON format and sends it to the server using a secure protocol (e.g., HTTPS). The server parses the received JSON data and stores it in a database.

[1597] Next, the user enters life event information. For example, past travel history, children's birthdays, important events, and other information can be entered on LINE OA. The device also converts the entered life event information into JSON format and sends it to the server in the same way. The server then analyzes this life event information and stores it in a database.

[1598] The server periodically scans the database for basic information and life event information to generate personalized recommendations for each user. For example, when suggesting a user's next travel destination based on their past travel history, the server uses an analytical algorithm to suggest travel destinations, activities, hotels, etc. that match the user's preferences. These recommendations are then stored in the database by the server.

[1599] The incorporation of an emotion engine also enables more personalized suggestions by analyzing user emotions. For example, it analyzes emotions from a user's text or voice input and optimizes the suggestions based on the results. The emotion engine generates suggestions that reflect the user's mood and psychological state, providing more appropriate information for the user.

[1600] The generated suggestions are notified to the user by the server at the appropriate time. The server converts the suggestions into JSON format and sends it to the LINE OA API endpoint. The device then notifies and displays the suggestions to the user.

[1601] As an example, consider a scenario in which travel suggestions are made that take emotions into consideration. Suppose a user registers basic information such as "35 years old, male, engineer, married, with two children (ages 8 and 5)" and also registers information such as "I enjoyed skiing in Hokkaido in August 2022" as a past life event. If the user further enters text such as "I've been feeling stressed lately," the server analyzes this emotional information using its emotion engine and determines that "I need a relaxing travel destination." Based on this, it generates a suggestion for "A relaxing hot spring inn for your next winter vacation." The server notifies the user of this suggestion via LINE OA, and the device receives and displays the notification.

[1602] The emotion engine's functionality also improves birthday reminder and gift suggestion scenarios. For example, if a user registers their child's birthday, "May 15, 2023," and asks, "What is my child interested in these days?", the emotion engine will analyze the child's recent interests from past conversation history. As a result, it will generate a suggestion that "8-year-old boys have recently become interested in soccer," and notify the user that "a soccer ball is recommended" along with the reminder. In this way, users can plan ahead and prepare for life events, and also choose appropriate gifts that are in line with their child's interests.

[1603] As described above, the present invention realizes a system that provides useful and personalized information to users at the appropriate time through each step of user information registration, analysis, emotion analysis using an emotion engine, proposal generation, and notification.

[1604] The processing flow will be explained below.

[1605] Step 1:

[1606] Users enter basic information such as gender, age, occupation, and family composition through the LINE OA user interface. The input information is confirmed by pressing the send button.

[1607] Step 2:

[1608] The device converts the input data into JSON format, which is then sent to the server via a secure protocol (e.g., HTTPS).

[1609] Step 3:

[1610] The server parses the received JSON data and extracts information such as gender, age, occupation, family composition, etc. The extracted information is stored in a database.

[1611] Step 4:

[1612] The user enters information about life events such as travel history and birthdays on LINE OA. After entering the information, the user presses the send button to confirm.

[1613] Step 5:

[1614] The device converts the entered life event information into JSON format and sends it to the server using a secure protocol.

[1615] Step 6:

[1616] The server parses the received life event information and extracts the event name, date, location, and specific activity details. The extracted information is stored in a database.

[1617] Step 7:

[1618] Users input their current emotional state through text or voice. This emotional information is sent via LINE OA.

[1619] Step 8:

[1620] The device converts the emotional information into JSON format and sends it to the server using a secure protocol.

[1621] Step 9:

[1622] The emotion information received by the server is analyzed by the emotion engine, and the analysis result is the user's emotional state (e.g., stress, relaxation, excitement, etc.).

[1623] Step 10:

[1624] The server periodically scans the database for basic information, life event information, and emotion information and executes SQL queries to retrieve recently updated information.

[1625] Step 11:

[1626] The server analyzes the acquired user information and generates suggestions based on the results of the emotion engine. For example, it suggests relaxing travel destinations based on the user's past travel history and current emotional state.

[1627] Step 12:

[1628] The server saves the generated proposal to the database. It inserts a record into the proposal table containing the user ID, proposal content, and proposal date and time.

[1629] Step 13:

[1630] The server executes a query to obtain proposals that require notification from the database, and extracts proposals that have not yet been notified.

[1631] Step 14:

[1632] The server converts the proposal content into JSON format and sends it to the LINE OA API endpoint. The proposal content is then sent to the user as a notification.

[1633] Step 15:

[1634] The device notifies the user of the received suggestion, which is displayed as a message in the user's chat interface using the LINE OA notification function.

[1635] Step 16:

[1636] The user reviews the recommendations and takes action as needed, for example, by searching or booking a travel destination.

[1637] As described above, the present invention realizes a system that provides useful and personalized information to users at appropriate times through each step of user information registration, analysis, emotion analysis using an emotion engine, proposal generation, and notification.

[1638] Example 2

[1639] 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."

[1640] Conventional personalization systems typically simply analyze a user's basic information and life event information and make suggestions based on that. However, because the system does not reflect the user's emotions or psychological state, the suggestions often do not match the user's current mood or psychological state. As a result, the system may make suggestions that are not useful to the user, reducing the system's value.

[1641] The identification process by the identification processing unit 290 of the data processing device 12 in Example 2 is realized by the following means. In this invention, the server includes means for inputting basic information such as the user's gender, age, occupation, and family structure, means for transmitting the input data of the basic information to the server, means for saving the basic information in a database, means for inputting the user's life event information, means for transmitting the life event information to the server, means for saving the life event information in the database, means for analyzing the basic information and the life event information, means for generating proposal content based on the analysis results, means for notifying the user of the generated proposal content, means for displaying the proposal content on the user terminal, and means for analyzing the user's emotions using an emotion analysis engine and optimizing the proposal content. This makes it possible to provide more personalized and useful information that takes into account the user's current emotions and psychological state.

[1642] "Basic information" refers to basic information about the user, such as the user's gender, age, occupation, and family composition.

[1643] "Life event information" is information about events related to the user's life, such as past travel history and important events.

[1644] A "terminal" is a device used by a user to input information and communicate with a server.

[1645] The "server" is a central processing unit that analyzes received data, generates proposals, and notifies them.

[1646] "Database" is a data management system for storing basic information and life event information.

[1647] An "analysis algorithm" is a program that analyzes user information and generates appropriate suggestions.

[1648] "Suggestions" are information or recommendations generated based on the analysis results and provided to users.

[1649] An "emotion analysis engine" is software that analyzes emotions from a user's text or voice input and optimizes the content of suggestions.

[1650] The "HTTPS protocol" is a communication protocol for securely transmitting data.

[1651] "JSON format" is a data exchange format for structuring user input information and sending it to a server.

[1652] In an embodiment of the present invention, a user first inputs basic information using a terminal, such as the user's gender, age, occupation, and family composition, through the LINE Official Account (LINE OA) interface, and then confirms the information by pressing the send button.

[1653] The device converts the input basic information into JSON format and sends it to the server using the HTTPS protocol. The server analyzes the received JSON data and stores the basic information in a database.

[1654] Next, the user enters life event information. This is done by entering information such as past travel history and important events on LINE OA. Here too, the device converts the entered information into JSON format and sends it to the server. The server also receives the life event information, analyzes it, and stores it in a database.

[1655] Based on this basic information and life event information, the server uses an analysis algorithm to generate suggestions. As a specific example, it is possible to suggest the next travel destination based on the user's past travel history. For example, if a user has registered life event information such as "enjoyed skiing in Hokkaido in August 2022," the server could generate a "relaxing trip to a hot spring resort" for the next trip.

[1656] Furthermore, by using an emotion analysis engine, the present invention can analyze the user's emotions and provide more personalized suggestions. It is possible to extract emotions from the user's text or voice input and make optimal suggestions based on that state. For example, if a user inputs, "I've been feeling stressed lately," the system analyzes that emotional information and determines, "I need a relaxing travel destination."

[1657] The generated suggestions are notified to the user by the server at the appropriate time. The server converts the suggestions into JSON format and sends it to the LINE OA API endpoint. The device receives this notification and displays the suggestions to the user.

[1658] As a specific example, consider the case where a user registers basic information such as "35 years old, male, engineer, married, with two children (ages 8 and 5)" and a past life event such as "I enjoyed skiing in Hokkaido in August 2022." If the user further enters text such as "I've been feeling stressed lately," the server will use its emotion analysis engine to determine that "I need a relaxing vacation destination" and suggest "A relaxing hot spring inn for your next winter vacation." The user is notified of this suggestion via LINE OA, and the device receives and displays the notification.

[1659] An example of a prompt sentence might be:

[1660] Example 1: Travel proposal

[1661] Let's say the user is a 35-year-old male engineer, married with two children (ages 8 and 5), and wants to go skiing in Hokkaido in August 2022. He has mentioned that he has been feeling stressed recently. Please suggest a travel destination.

[1662] Example 2: Birthday reminder

[1663] A user has registered their child's birthday, May 15, 2023, and asked about their child's recent interests. Analyze their past conversation history to find out what their child is interested in these days and generate suggestions.

[1664] In this way, the present invention realizes a system that provides useful and personalized information to users at the appropriate time through each step of user information registration, analysis, analysis using a sentiment analysis engine, proposal generation, and notification.

[1665] The flow of the identification process in the second embodiment will be described with reference to FIG.

[1666] Step 1:

[1667] Enter and submit basic information

[1668] The user uses the device to enter basic information (gender, age, occupation, family composition, etc.) into the LINE Official Account (LINE OA) interface. When the send button is pressed, the device converts this information into JSON format. The converted JSON data is sent to the server via the HTTPS protocol.

[1669] Input: Gender, age, occupation, family composition

[1670] Data processing: Convert input information into JSON format

[1671] Output: Send JSON data to the server

[1672] Specific operation: The user enters information such as "Gender: Male" and "Age: 35" into LINE OA and clicks the send button. The device acquires this information, converts it into JSON format data, and sends it to the server via HTTPS.

[1673] Step 2:

[1674] Receiving and storing basic information

[1675] The server analyzes the received basic information in JSON format and stores the analysis results in a database.

[1676] Input: Basic information in JSON format

[1677] Data processing: Parsing JSON data

[1678] Output: Analyzed basic information is saved in a database

[1679] Specific operation: The server analyzes the received JSON data and stores information such as "Gender: Male" and "Occupation: Engineer" in a database.

[1680] Step 3:

[1681] Enter and submit life event information

[1682] Users use their devices to input life event information (such as past travel history or important events) into the LINE OA interface. When they press the send button, the device also converts this information into JSON format and sends it to the server.

[1683] Input: Life event information (travel history, important events)

[1684] Data processing: Convert input information into JSON format

[1685] Output: Send JSON data to the server

[1686] Specific operation: The user enters information such as "Enjoyed skiing in Hokkaido in August 2022" or "Child's birthday: May 15, 2023" into LINE OA and clicks the send button. The device converts the information into JSON format and sends it to the server via HTTPS.

[1687] Step 4:

[1688] Receiving and storing life event information

[1689] The server analyzes the received JSON formatted life event information and stores the analysis results in a database.

[1690] Input: Life event information in JSON format

[1691] Data processing: Parsing JSON data

[1692] Output: Analyzed life event information saved in a database

[1693] Specific operation: The server analyzes the received JSON data and saves information such as "Enjoyed skiing in Hokkaido in August 2022" and "Child's birthday: 5 / 15 / 2023" in a database.

[1694] Step 5:

[1695] Regularly scan your data and generate recommendations

[1696] The server periodically scans the database for basic information and life event information. Based on this data, an analytical algorithm is used to generate personalized recommendations for each user. For example, it may suggest a next trip destination based on past travel history.

[1697] Input: Basic information, life event information

[1698] Data processing: Scanning data and generating recommendations using analytical algorithms

[1699] Output: Suggested content (next travel destination, etc.)

[1700] Specific operation: The server periodically scans the database and analyzes information such as "gender: male," "occupation: engineer," and "past travel history," generating suggestions such as "next travel destination: hot spring resort."

[1701] Step 6:

[1702] Optimizing proposal content using a sentiment analysis engine

[1703] The server analyzes the user's emotions from text and voice input, and optimizes the suggestions based on the results of this analysis. For example, if a user writes, "I've been feeling stressed lately," the server will suggest "relaxing travel destinations" based on that emotion.

[1704] Input: User text input, voice input

[1705] Data processing: Sentiment analysis using an emotion analysis engine

[1706] Output: Optimized proposals

[1707] Specific operation: If a user enters text such as "I've been feeling stressed lately," the sentiment analysis engine will determine that "I need a relaxing travel destination" and suggest "a relaxing hot spring inn in a hot spring resort."

[1708] Step 7:

[1709] Notification of proposal details

[1710] The server converts the suggestions into JSON format and sends them to the LINE OA API endpoint. The device receives this notification and displays the suggestions to the user.

[1711] Input: Optimized suggestions

[1712] Data processing: Convert proposals into JSON format

[1713] Output: Notify and display on user terminal

[1714] Specific operation: The server sends the suggestion to the LINE OA API in JSON format, saying, "Your next travel destination is a hot spring resort." The device receives the notification and displays a message to the user on LINE OA saying, "We suggest a hot spring inn where you can relax during your next winter vacation."

[1715] (Application example 2)

[1716] 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."

[1717] Conventional systems provide fixed recommendations based on a user's basic information and life event information, making it difficult to provide personalized recommendations that reflect the user's real-time emotions and psychological state. Furthermore, even in the shopping experience at a physical store, recommendations that take into account the user's momentary emotions and current mood are insufficient, and optimal recommendations to increase user satisfaction are not provided.

[1718] 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.

[1719] In this invention, the server includes a means for analyzing a user's emotions, a means for optimizing the content of suggestions based on the emotion analysis results, and a means for making shopping suggestions in real time based on the user's input, thereby enabling personalized shopping suggestions based on the user's emotions and psychological state.

[1720] "Basic information" refers to personal information such as the user's gender, age, occupation, and family composition.

[1721] "Life event information" refers to information related to the user's life, such as the user's past travel history or important family events.

[1722] "Emotion analysis means" refers to algorithms or technologies that determine a user's emotional state from text or voice input.

[1723] "Suggestions based on analysis results" refers to recommendations and information generated based on the basic information and life event information provided by the user, as well as the results of sentiment analysis.

[1724] "User Device" refers to the device a User uses to enter information or receive suggestions, such as a smartphone, tablet, or computer.

[1725] "Means of notification" refers to the communication means or technology used to notify users of the generated suggestions.

[1726] "Real-time shopping suggestion methods" refers to technologies and algorithms that instantly suggest appropriate products or services based on a user's current input.

[1727] "Means for optimizing proposal content based on the results of emotion analysis" refers to technologies and mechanisms that adjust proposal content to be more personalized according to the user's emotional state.

[1728] A specific embodiment of the present invention is a shopping support system for smartphone-based users, which collects basic information and life event information of users and performs emotion analysis to provide personalized product suggestions in real time.

[1729] The system includes the following processes:

[1730] First, the user enters basic information through a smartphone app, including gender, age, occupation, and family composition. The entered information is converted to JSON format and sent to the server using the HTTPS protocol. The server then analyzes the received JSON data and stores it in a database.

[1731] Next, the user enters life event information, such as past travel history or important family events. This life event information is also converted into JSON format and sent to the server using the HTTPS protocol. The server then stores this information in a database.

[1732] Next, emotion analysis is performed. The user's current emotional state is determined by analyzing the text and voice data entered by the user through the smartphone app. For example, if a user enters "I've been feeling stressed lately," the emotion analysis engine will analyze this and output the result "I'm feeling stressed." The analysis results are stored on the server.

[1733] The server scans the database for basic information, life event information, and sentiment analysis results, and generates recommendations based on this data. These recommendations include products and services that best fit the user's behavior, preferences, and current state of mind. This information is also converted into JSON format and sent to the smartphone app.

[1734] The smartphone app will then present the suggested products to the user. For example, if the app detects that the user has been feeling stressed recently, it will suggest relaxing aroma candles or hot spring inns. The user can then use these suggestions to help them choose products and services.

[1735] This embodiment of the present invention is programmed using the Python language. It is recommended to use an external sentiment analysis API or generative AI model for sentiment analysis. For example, Google Cloud Natural Language API or IBM Watson Natural Language Understanding can be used. Data is transmitted and received securely using the HTTPS protocol.

[1736] For example, if a user, a 35-year-old male engineer with a wife and an 8-year-old child, enters into the app that he has been feeling stressed lately, the system will analyze this and suggest products and services that have a relaxing effect. As a result, the user will be shown "relaxing aroma candles" and "hot spring hotel reservation information."

[1737] An example of a prompt is as follows:

[1738] Enter basic user information:

[1739] Name: Yamada Taro

[1740] Age: 35

[1741] Gender: Male

[1742] Occupation: Engineer

[1743] Family: Wife and 8-year-old child

[1744] Emotional state: I've been feeling stressed lately

[1745] In this way, the present invention provides a system that improves the user's shopping experience by making optimal suggestions in real time based on the user's basic information, life event information, and emotion analysis results.

[1746] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[1747] Step 1:

[1748] The user opens the smartphone app and enters basic information (gender, age, occupation, family composition). After entering the information, this information is converted into JSON format. The converted JSON data is sent to the server using the HTTPS protocol. The server analyzes the received JSON data and stores it in a database.

[1749] Input: User basic information

[1750] Data processing: Convert to JSON format

[1751] Output: Converted basic information JSON data sent to the server

[1752] Step 2:

[1753] Next, the user inputs life event information (such as past travel history or important family events), which is also converted into JSON format and sent to the server using the HTTPS protocol. The server then stores the received life event information in a database.

[1754] Input: User's life event information

[1755] Data processing: Convert to JSON format

[1756] Output: Converted life event information JSON data sent to the server

[1757] Step 3:

[1758] The user inputs their emotional state into the app, such as "I've been feeling stressed lately." The emotion analysis engine analyzes this text data and determines the user's emotional state as "feeling stressed." The analysis results are stored on the server.

[1759] Input: Text data of the user's emotional state

[1760] Data processing: Analysis using emotion analysis engine

[1761] Output: Save analysis results to the server

[1762] Step 4:

[1763] The server periodically scans basic information, life event information, and emotion analysis results, analyzes the scanned data, and generates optimal suggestions for the user.

[1764] Input: Basic information stored in the database, life event information, emotion analysis results

[1765] Data processing: Regular scanning and data analysis

[1766] Output: Generate optimal proposals

[1767] Step 5:

[1768] The generated suggestions are converted into JSON format and sent to the user's smartphone app, which then receives the notification and displays the suggestions to the user.

[1769] Input: Generated proposal

[1770] Data processing: Convert to JSON format and notify

[1771] Output: Display of suggestions on a smartphone app

[1772] Step 6:

[1773] Users can choose an action based on the suggestions, such as purchasing a relaxing aroma candle or booking a hot spring resort.

[1774] Input: Proposal

[1775] Data processing: User selection

[1776] Output: Example of selected action execution

[1777] 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.

[1778] 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.

[1779] 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.

[1780] 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.

[1781] 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.

[1782] 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.

[1783] 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).

[1784] 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.

[1785] 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."

[1786] 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.

[1787] 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).

[1788] 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.

[1789] 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.

[1790] 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.

[1791] 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.

[1792] 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.

[1793] 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.

[1794] 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.

[1795] 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.

[1796] 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.

[1797] 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.

[1798] The following is further disclosed regarding the above embodiment.

[1799] (Claim 1)

[1800] A means to input basic information such as the user's gender, age, occupation, and family structure;

[1801] means for transmitting the data containing the basic information to a server;

[1802] means for storing the basic information in a database;

[1803] a means for inputting user life event information;

[1804] means for transmitting the life event information to a server;

[1805] means for storing the life event information in a database;

[1806] means for analyzing the basic information and the life event information;

[1807] a means for generating recommendations based on the analysis results;

[1808] a means for notifying the user of the generated suggestions;

[1809] and means for displaying the proposal on a user terminal.

[1810] (Claim 2)

[1811] 10. The system of claim 1, further comprising means for periodically scanning the baseline information and the life event information and analyzing the updated information.

[1812] (Claim 3)

[1813] The system according to claim 1, further comprising means for suggesting information on travel destinations, activities, hotels, etc. that match the user's preferences at an appropriate time based on the analysis results.

[1814] "Example 1"

[1815] (Claim 1)

[1816] A means for inputting basic information such as the user's gender, age, occupation, and family structure;

[1817] means for transmitting the data into which the basic information has been input to an information processing device;

[1818] means for storing the basic information in a data storage;

[1819] a means for inputting user life event information;

[1820] means for transmitting the life event information to an information processing device;

[1821] means for storing the life event information in a data storage;

[1822] means for analyzing the basic information and the life event information;

[1823] A means for generating proposals based on the analysis results using the generative model;

[1824] means for notifying the user of the generated suggestions;

[1825] and means for displaying the suggestions on a user's device.

[1826] (Claim 2)

[1827] 10. The system of claim 1, further comprising means for periodically scanning the baseline information and the life event information and analyzing the updated information.

[1828] (Claim 3)

[1829] 2. The system according to claim 1, further comprising means for suggesting information on travel destinations, activities, accommodations, etc. that match the user's preferences at an appropriate time based on the analysis results.

[1830] "Application Example 1"

[1831] (Claim 1)

[1832] A means to input basic information such as the user's gender, age, occupation, and family structure;

[1833] means for transmitting the data containing the basic information to a server;

[1834] means for storing the basic information in a database;

[1835] a means for inputting user life event information;

[1836] means for transmitting the life event information to a server;

[1837] means for storing the life event information in a database;

[1838] means for analyzing the basic information and the life event information;

[1839] a means for generating recommendations based on the analysis results;

[1840] a means for notifying the user of the generated suggestions;

[1841] means for displaying the proposal content on a user terminal;

[1842] a means for generating video and article recommendations based on user preferences;

[1843] A means for displaying the recommendation using a LINE API;

[1844] A means to optimize recommendations using generative AI models; and

[1845] and means for recommending the content using prompts to a generative AI model.

[1846] (Claim 2)

[1847] 2. The system according to claim 1, further comprising means for periodically scanning the basic information and the life event information and analyzing the updated information.

[1848] (Claim 3)

[1849] The system according to claim 1, further comprising means for suggesting information on travel destinations, activities, hotels, etc. that match the user's preferences at an appropriate time based on the analysis results.

[1850] "Example 2: Combining Emotion Engines"

[1851] (Claim 1)

[1852] A means to input basic information such as the user's gender, age, occupation, and family structure;

[1853] means for transmitting the data containing the basic information to a server;

[1854] means for storing the basic information in a database;

[1855] a means for inputting user life event information;

[1856] means for transmitting the life event information to a server;

[1857] means for storing the life event information in a database;

[1858] means for analyzing the basic information and the life event information;

[1859] a means for generating recommendations based on the analysis results;

[1860] a means for notifying the user of the generated suggestions;

[1861] means for displaying the proposal content on a user terminal;

[1862] A system including a means for analyzing user emotions using a sentiment analysis engine and optimizing recommendations.

[1863] (Claim 2)

[1864] 10. The system of claim 1, further comprising means for periodically scanning the baseline information and the life event information and analyzing the updated information.

[1865] (Claim 3)

[1866] 2. The system according to claim 1, further comprising means for suggesting information that matches the user's preferences at an appropriate time based on the analysis results.

[1867] "Application example 2 when combining emotion engines"

[1868] (Claim 1)

[1869] A means to input basic information such as the user's gender, age, occupation, and family structure;

[1870] means for transmitting the data containing the basic information to a server;

[1871] means for storing the basic information in a database;

[1872] a means for inputting user life event information;

[1873] means for transmitting the life event information to a server;

[1874] means for storing the life event information in a database;

[1875] means for analyzing the basic information and the life event information;

[1876] a means for generating recommendations based on the analysis results;

[1877] a means for notifying the user of the generated suggestions;

[1878] means for displaying the proposal content on a user terminal;

[1879] A means of analyzing user emotions,

[1880] A means for optimizing proposal content based on the emotion analysis result;

[1881] a means of providing real-time shopping suggestions based on user input;

[1882] A system including:

[1883] (Claim 2)

[1884] 10. The system of claim 1, further comprising means for periodically scanning the baseline information and the life event information and analyzing the updated information.

[1885] (Claim 3)

[1886] The system according to claim 1, further comprising means for suggesting information on travel destinations, activities, hotels, etc. that match the user's preferences at an appropriate time based on the analysis results. [Explanation of symbols]

[1887] 10, 210, 310, 410 Data Processing Systems 12 Data Processing Device 14 Smart Devices 214 Smart Glasses 314 Headset-type terminal 414 Robot< / url:> < / url:> < / url:> < / url:>

Claims

1. A means to input basic information such as the user's gender, age, occupation, and family structure; means for transmitting the data containing the basic information to a server; means for storing the basic information in a database; a means for inputting user life event information; means for transmitting the life event information to a server; means for storing the life event information in a database; means for analyzing the basic information and the life event information; a means for generating recommendations based on the analysis results; a means for notifying the user of the generated suggestions; and means for displaying the proposal on a user terminal.

2. The system of claim 1 , further comprising means for periodically scanning the baseline information and the life event information and analyzing the updated information.

3. The system according to claim 1, further comprising means for suggesting information on travel destinations, activities, hotels, etc. that match the user's preferences at an appropriate time based on the analysis results.

Images