System

Abstract

A system is provided.SOLUTION: A system comprising: means for inputting information; means for transmitting the inputted information to a server; means for verifying the information received by the server and generating a user profile; means for generating a future scenario using an algorithm based on the user profile; and means for returning and displaying the generated future scenario to the user.SELECTED DRAWING: Figure 1

Description

[Technical Field]

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

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

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

[0004] Many people today lack a clear vision or goals for the future, often experiencing anxiety and uncertainty. As a result, it becomes difficult to make appropriate decisions regarding career choices and important life events. People with mental health issues also find it difficult to imagine a positive future and may lose hope in life. Conventional methods make it difficult for individuals to experience multiple future scenarios, and there is a lack of specialized support systems for doing so. [Means for solving the problem]

[0005] The present invention provides a system that generates and presents personalized future scenarios based on information provided by a user. Specifically, the system includes a means for inputting information, a means for transmitting the input information to a server, a means for the server to verify the received information and generate a user profile, a means for generating future scenarios using an algorithm based on the user profile, and a means for returning and displaying the scenarios to the user. This system allows users to experience multiple future scenarios based on their life goals, hobbies, interests, past experiences, and dreams, thereby supporting appropriate decision-making and providing hope for life.

[0006] "Means for inputting information" refers to a method by which a user inputs information such as his / her life goals, hobbies, interests, past experiences, dreams, etc., via an interface.

[0007] The "means for transmitting input information to a server" refers to a communication means by which the user terminal encrypts the input information and transmits it securely to the server.

[0008] "Means for verifying information received by the server" refers to the procedure by which the server checks the user information received to ensure that there is no missing or invalid data.

[0009] The "means for generating a user profile" refers to a method in which the server analyzes the user's attributes based on the verified information and creates an individual profile.

[0010] "Means for generating future scenarios using algorithms" refers to a method for creating multiple future scenarios based on user profiles using algorithms based on scientific data such as psychology, sociology, and occupational databases.

[0011] The "means for returning the generated future scenario to the user and displaying it" refers to the means by which the server encrypts the selected future scenario, transmits it to the user's terminal, and displays it in a form that is easy for the user to understand.

[0012] A "future scenario" is a scenario that includes events or situations that a user may experience in the future, generated by an algorithm based on information provided by the user.

[0013] A "user profile" is a set of individual attribute information generated by the server based on the user's provided life goals, hobbies, interests, past experiences, and dreams. [Brief explanation of the drawings]

[0014] [Figure 1] 1 is a conceptual diagram showing an example of the configuration of a data processing system according to a first embodiment. [Figure 2] 1 is a conceptual diagram showing an example of main functions of a data processing device and a smart device according to a first embodiment. [Figure 3] FIG. 10 is a conceptual diagram showing an example of the configuration of a data processing system according to a second embodiment. [Figure 4] FIG. 10 is a conceptual diagram showing an example of main functions of a data processing device and smart glasses according to a second embodiment. [Figure 5] FIG. 10 is a conceptual diagram showing an example of the configuration of a data processing system according to a third embodiment. [Figure 6] FIG. 11 is a conceptual diagram showing an example of main functions of a data processing device and a headset-type terminal according to a third embodiment. [Figure 7] FIG. 10 is a conceptual diagram showing an example of the configuration of a data processing system according to a fourth embodiment. [Figure 8] FIG. 10 is a conceptual diagram showing an example of main functions of a data processing device and a robot according to a fourth embodiment. [Figure 9] 1 shows an emotion map onto which multiple emotions are mapped. [Figure 10] 1 shows an emotion map onto which multiple emotions are mapped. [Figure 11] FIG. 3 is a sequence diagram showing a processing flow of the data processing system according to the first embodiment. [Figure 12]FIG. 10 is a sequence diagram showing the flow of processing in the data processing system in Application Example 1. [Figure 13] FIG. 10 is a sequence diagram showing the flow of processing in the data processing system according to the second embodiment when an emotion engine is combined. [Figure 14] FIG. 10 is a sequence diagram showing the flow of processing in the data processing system in Application Example 2 when an emotion engine is combined. DETAILED DESCRIPTION OF THE INVENTION

[0015] 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.

[0016] First, the terms used in the following description will be explained.

[0017] 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).

[0018] 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.

[0019] 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.

[0020] 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.

[0021] 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."

[0022] [First embodiment]

[0023] FIG. 1 shows an example of the configuration of a data processing system 10 according to the first embodiment.

[0024] 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.

[0025] 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).

[0026] 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.

[0027] 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.

[0028] 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.

[0029] 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.

[0030] FIG. 2 shows an example of the main functions of the data processing device 12 and the smart device 14.

[0031] 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.

[0032] 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.

[0033] 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.

[0034] 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."

[0035] Our invention, Future Story Lab, is a system that generates personalized future scenarios based on user information. This system consists of three main components: the user, the device, and the server.

[0036] System Components

[0037] 1. User's device

[0038] Information input method: Users input information such as their life goals, hobbies, interests, past experiences, and dreams via a device (smartphone or PC).

[0039] Transmission method: The terminal encrypts the entered information and sends it to the server via the HTTPS protocol.

[0040] 2. Server

[0041] Validation measures: The server validates the received user information to ensure that all required data is provided, including filtering out invalid or missing data.

[0042] User profile generation method: The server generates a user profile based on the verified data. This profile contains user attribute information.

[0043] Scenario generation means: The server uses algorithms based on psychology, sociology, occupational databases, etc. to create future scenarios based on the user profile.

[0044] Selection method: Select the most appropriate scenario from the multiple scenarios generated and choose the positive scenario that the user is likely to encounter.

[0045] Return method: The selected scenario is encrypted and returned to the user's device, again using the HTTPS protocol.

[0046] 3. User's device (redisplay)

[0047] Display method: The received future scenario is displayed in a format that is easy for the user to understand. The interface is designed to be intuitive and easy for the user to understand.

[0048] Program processing flow

[0049] Below is the processing flow performed by Future Story Lab's system program.

[0050] 1. Enter your user information

[0051] Users use their device to access the Future Story Lab website or app and enter information such as their life goals, hobbies, interests, past experiences, and dreams.

[0052] Example: A user enters "I want to be a scientist," "I read," "I jog," and "I was a leader in the high school chemistry club."

[0053] 2. Transmission of information

[0054] The terminal encrypts the entered information and sends it to the server.

[0055] Example: Encrypted information is securely sent from the device to the server.

[0056] 3. Data Verification and Analysis

[0057] The server validates the information received and ensures that all required data is present.

[0058] A user profile is generated based on the verified data.

[0059] Example: The server validates the information entered and generates a profile that includes "goal of becoming a scientist," "hobbies include reading and jogging," and "experience as a leader in the chemistry club."

[0060] 4. Generation and selection of future scenarios

[0061] The server generates multiple future scenarios based on the user profile using algorithms from psychology, sociology, and occupational databases.

[0062] The most appropriate scenario is selected from the generated scenarios.

[0063] Example: The server generates future scenarios such as "a career in a scientific research lab," "presenting at an international conference," and "reducing stress through jogging," and then selects the most realistic and appropriate scenario from among them.

[0064] 5. Returning and displaying the scenario

[0065] The server encrypts the selected scenario and sends it to the user's terminal.

[0066] The user terminal displays the received scenario, and the user checks the contents.

[0067] Example: The device receives an encrypted scenario and displays content such as "Career in a chemistry laboratory," "Presenting at an international conference," and "Relieving stress by jogging" to the user.

[0068] Specific examples of embodiments

[0069] Users of Future Story Lab can simulate detailed future prospects by specifically inputting their dreams and goals. For example, if a user inputs "I want to be a scientist," they will be presented with scenarios in which they experience working in a scientific laboratory, presenting at an international conference, or even jogging regularly, which helps reduce stress. These personalized future scenarios allow users to specifically consider future options and help them plan actions for self-improvement and goal achievement.

[0070] The processing flow will be explained below.

[0071] Step 1:

[0072] Users access the Future Story Lab website or app using their device, and through the interface, they input information about their life goals, hobbies, interests, past experiences, dreams, and more.

[0073] Example: A user enters "I want to be a scientist," "I read," "I jog," and "I was a leader in the high school chemistry club."

[0074] Step 2:

[0075] The terminal encrypts the input information using the SSL / TLS protocol and sends this information to the server.

[0076] Example: A device encrypts information such as "I want to be a scientist," "I read," "I jog," and "I have experience as a leader in the high school chemistry club" and sends it to a server.

[0077] Step 3:

[0078] The server validates the information it receives. If the information is missing or contains invalid data, the server returns an error message to the terminal, prompting it to re-enter the correct data.

[0079] Example: The server verifies the information and finds that the hobby "reading" is not specific enough, so it sends a message to the device saying "Please enter more specific reading details."

[0080] Step 4:

[0081] The server analyzes the verified information and generates a user profile, which includes the user's inputted attributes such as life goals, hobbies, interests, past experiences, and dreams.

[0082] Example: A server generates a user profile based on the following: "I want to be a scientist," "I read," "I jog," and "I was a leader in the high school chemistry club."

[0083] Step 5:

[0084] The server generates multiple future scenarios based on the user profile using an algorithm that references scientific data such as psychology, sociology, and occupational databases.

[0085] Example: The server generates future scenarios for "building a career as a scientist," "how reading affects knowledge development," and "improving physical fitness through jogging."

[0086] Step 6:

[0087] The server filters the generated future scenarios and selects the most suitable ones, taking into account the scenario's realism and positive impact.

[0088] Example: From the scenarios generated by the server, the following three scenarios are determined to be the most suitable: "Career in a chemistry laboratory," "Presenting at an international conference," and "Relieving stress through jogging."

[0089] Step 7:

[0090] The server re-encrypts the selected future scenario using the SSL / TLS protocol and sends it back to the user's device.

[0091] Example: The server encrypts selected future scenarios and sends the scenarios "Career in a scientific research lab," "Presenting at an international conference," and "Relieving stress by jogging" to the terminal.

[0092] Step 8:

[0093] The terminal displays the received future scenario to the user. The interface is designed to be intuitive and easy for users to understand.

[0094] Example: The device shows the user future scenarios such as "Career planning in a chemical research lab," "Health benefits of jogging," and "Presenting at an international conference."

[0095] Step 9:

[0096] The user can review the presented future scenario and, if not satisfied, input feedback to provide further information and request that the scenario be generated again.

[0097] Example: The user provides feedback such as "This career plan seems interesting, but I'd like to know the specific steps," and the scenario is generated again.

[0098] Example 1

[0099] 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."

[0100] In modern society, it is important for individuals to have specific scenarios for their own future. However, currently available systems are not sufficient in generating and optimizing personalized future scenarios based on user information. In particular, validation of input data, generation of user profiles, and appropriate generation and selection of future scenarios using scientific data are issues.

[0101] 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.

[0102] In this invention, the server includes means for providing an interface for a user to input information, means for encrypting the input information and sending it to the server, means for verifying the information received by the server and generating a user profile, means for generating future scenarios using a generative AI model based on the user profile, means for selecting the optimal one from the generated future scenarios, and means for encrypting the selected future scenario and returning it to the user's terminal for display. This enables the generation and optimization of personalized future scenarios based on user information.

[0103] "Means for providing an interface for users to input information" refers to a function that provides a website or application screen, etc., so that users can input their own information.

[0104] "Means for encrypting input information and sending it to a server" refers to means for using an encryption protocol to securely protect data entered by a user and sending that data to a server via the Internet.

[0105] "Means for verifying the information received by the server and generating a user profile" refers to the function by which the server checks the data sent by the user, verifies that all necessary information is included, and creates a detailed profile of the user based on that information.

[0106] "Means for generating future scenarios using a generative AI model based on a user profile" refers to a function that uses data obtained from the user profile to create future scenarios for the user using a generated AI algorithm.

[0107] The "means for selecting the most appropriate future scenario from among multiple generated scenarios" is an algorithm for selecting the most appropriate and realistic scenario for the user from among the many generated scenarios.

[0108] "Means for encrypting the selected future scenario, returning it to the user's terminal, and displaying it" refers to a function that re-encrypts the selected scenario, sends it to the user's terminal via the Internet, and displays the information in a form that the user can refer to.

[0109] The system of the present invention generates personalized future scenarios based on user information. This system basically consists of three main components: the user, the terminal, and the server.

[0110] System Components

[0111] 1. User's device

[0112] Information input method: Users input information such as life goals, hobbies, interests, past experiences, dreams, etc. using a smartphone or PC. This input interface is intuitive and designed to be easy for users to use.

[0113] Transmission method: The terminal encrypts the information entered by the user using the AES-256bit algorithm and transmits it to the server via the HTTPS protocol.

[0114] 2. Server

[0115] Validation method: The server validates the information it receives, specifically ensuring that all required data is present and filtering out incomplete or invalid data.

[0116] User profile generation means: A user profile is generated based on the verified data. This profile contains detailed information about the user's attributes.

[0117] Scenario generation means: The server generates future scenarios based on user profiles using generative AI models based on scientific data such as psychology, sociology, and occupational databases.

[0118] Selection method: Select the most appropriate scenario from the multiple scenarios generated. The algorithm prioritizes the most positive and realistic scenario for the user.

[0119] Return method: The selected scenario is re-encrypted and sent to the user's device via the HTTPS protocol.

[0120] 3. User's device (redisplay)

[0121] Display method: The received future scenario is displayed in a format that is easy for the user to understand. The interface is designed to be intuitive and easy for the user to understand.

[0122] Specific program operations and processing

[0123] 1. Enter and submit user information

[0124] The user enters information into the terminal, which is then encrypted and sent to the server.

[0125] Examples:

[0126] Life goal: I want to be a scientist

[0127] Hobbies: Reading, jogging

[0128] Past experience: Leader of the chemistry club in high school

[0129] Dream: I want to become a university professor

[0130] 2. Data validation and user profile generation

[0131] The server validates the received information, filters out any missing data, and then generates a user profile, which is saved in JSON format.

[0132] 3. Generation and selection of future scenarios

[0133] The server uses a generative AI model to generate future scenarios based on the user profile. Multiple scenarios are generated, and the most appropriate one is selected.

[0134] Examples:

[0135] Scientific laboratory careers

[0136] Presentation at an international conference

[0137] Jogging reduces stress

[0138] 4. Return and display of scenario

[0139] The server encrypts the selected scenario and sends it to the user's device using the HTTPS protocol. The user's device decrypts the received scenario and displays it in an easy-to-understand format.

[0140] Examples:

[0141] The device receives the encrypted scenario and, after decrypting it, displays the following scenarios to the user: "Career in a chemical laboratory," "Presenting at an international conference," and "Relieving stress through jogging."

[0142] This allows the present invention to generate, optimize, and safely display personalized future scenarios based on user-entered information, and by using generative AI models, it is possible to provide realistic and positive scenarios based on scientific data.

[0143] The flow of the identification process in the first embodiment will be described with reference to FIG.

[0144] Program processing flow

[0145] Step 1: Enter your user information

[0146] A user accesses the future scenario generation system via a terminal. Using the interface, the user inputs information such as their life goals, hobbies, interests, past experiences, and dreams. This is done using form components such as text boxes and check boxes.

[0147] Specific behavior:

[0148] The user enters the following information:

[0149] Life goal: I want to be a scientist

[0150] Hobbies: Reading, jogging

[0151] Past experience: Leader of the chemistry club in high school

[0152] Dream: I want to become a university professor

[0153] Step 2: Submit your information

[0154] The device receives the entered information, encrypts it using the AES-256 bit algorithm, and then sends the encrypted information to the server using the HTTPS protocol.

[0155] Input: Information entered by the user

[0156] Output: Encrypted data is sent to the server

[0157] Specific behavior:

[0158] The device encrypts data such as "I want to be a scientist," "Reading," "Jogging," and "Experience as a leader in the high school chemistry club" and sends it to the server.

[0159] Step 3: Validate the data

[0160] The server decrypts the received information and verifies that all necessary data is present. During the verification process, incomplete or invalid data is filtered out.

[0161] Input: Encrypted user information

[0162] Output: Validated data

[0163] Specific behavior:

[0164] The server decrypts the received data and checks the following:

[0165] Is "My goal to become a scientist" correct in text format?

[0166] Is "My hobbies are reading and jogging" valid information?

[0167] Is the "Chemistry Club Leader Experience" entered correctly?

[0168] Step 4: Create a user profile

[0169] The server generates a user profile based on the verified data, detailing the user's goals, hobbies, past experiences, etc. The profile is stored in JSON format.

[0170] Input: Validated data

[0171] Output: User profile

[0172] Specific behavior:

[0173] The server generates a user profile based on "goal to become a scientist," "hobbies are reading and jogging," and "experience as a leader in the chemistry club," and saves it in JSON format.

[0174] Step 5: Generate future scenarios

[0175] The server uses a generative AI model to generate future scenarios based on the user profile. The algorithm utilizes data from psychology, sociology, and occupational databases.

[0176] Input: User Profile

[0177] Output: Multiple future scenarios

[0178] Specific behavior:

[0179] The server generates the following scenario:

[0180] Scientific laboratory careers

[0181] Presentation at an international conference

[0182] Jogging reduces stress

[0183] Step 6: Screening scenarios

[0184] The server selects the most appropriate scenario from the generated scenarios. The selection algorithm prioritizes realistic and positive scenarios.

[0185] Input: Multiple future scenarios

[0186] Output: Optimal future scenario

[0187] Specific behavior:

[0188] The server evaluates the generated scenarios and determines that "Career in a Science Laboratory" is the most realistic and positive scenario.

[0189] Step 7: Return and view the scenario

[0190] The server re-encrypts the selected future scenarios and sends them to the user's device via HTTPS. The device then decrypts the received scenarios and displays them in a user-friendly format.

[0191] Input: Selected future scenarios

[0192] Output: The decrypted scenario is displayed on the terminal.

[0193] Specific behavior:

[0194] The terminal receives the encrypted scenario and, after decryption, displays the following scenario to the user:

[0195] Chemical Laboratory Career

[0196] Presentation at an international conference

[0197] Jogging to relieve stress

[0198] (Application example 1)

[0199] 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."

[0200] Conventional personalization systems only consider specific goals, hobbies, and interests when generating a user's future scenario. This makes it difficult to provide the specific shopping experience or future lifestyle scenario that the user desires. Another issue is the lack of a means to propose future scenarios that are adapted to the user's needs.

[0201] 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.

[0202] In this invention, the server includes means for verifying information and generating a user profile, means for generating a future scenario using an algorithm, means for returning and displaying the generated future scenario to the user, and means for personalizing the shopping experience and providing the future scenario based on the user's input goals, hobbies, interests, etc. This allows the user to receive a future scenario based on their specific desires and interests.

[0203] An "information input device" is a combination of hardware and software that allows a user to input data such as goals, hobbies, and interests.

[0204] A "device that transmits input information to a server" is a system that encrypts data entered by a user and transmits it to a server using the HTTPS protocol or the like.

[0205] The "device for verifying information received by a server and generating a user profile" refers to a system that verifies the user data received by a server, filters out invalid data, and then generates a profile summarizing the user's characteristics.

[0206] A "device that generates future scenarios using an algorithm based on a user profile" is a system that creates future scenarios using an algorithm that uses psychology, sociology, occupational databases, etc. based on the generated user profile.

[0207] The "device that returns and displays the generated future scenario to the user" is a system that encrypts the future scenario generated on the server, sends it back to the user's terminal via the HTTPS protocol, etc., and displays it in a format that is easy for the user to understand.

[0208] "A device that personalizes the shopping experience and provides future scenarios based on the user's input goals, hobbies, interests, etc." is a system that takes into account the user's goals, hobbies, and interests and suggests optimal shopping experiences and future lifestyle scenarios tailored to their needs.

[0209] This invention is comprised of multiple devices and a system that generates personalized future scenarios based on user input information. The system is primarily comprised of a terminal for inputting and sending information, a server for verifying and processing the data, and a terminal for displaying the results.

[0210] Overall system configuration and technologies used

[0211] 1. User Device:

[0212] Information input device: A device equipped with an interface that allows users to input their goals, hobbies, interests, past experiences, dreams, etc. This input device uses a general terminal such as a smartphone or PC.

[0213] Transmitter: Has the function of encrypting input information and sending it to the server using a secure communication protocol (HTTPS).

[0214] 2. Server:

[0215] Data Validator: The server validates the received information, filters invalid or defective data, and generates user profiles. Here, data processing is done using Node.js (Express framework).

[0216] Future scenario generator: Based on the generated user profile, the server utilizes data from psychology, sociology, and occupational databases to generate future scenarios using an algorithm. The AI ​​model used here is a custom model based on GPT-4.

[0217] Information return device: The selected scenario is encrypted and returned to the user terminal using the HTTPS protocol.

[0218] 3. User terminal again:

[0219] Display device: The received future scenario is displayed in a user-friendly format. The display format here is a simple and intuitive interface, designed to be easily understood by the user.

[0220] Process Details

[0221] Input of user information: The user accesses the future scenario generation app and inputs specific data such as goals, hobbies, interests, past experiences, dreams, etc. For example, "I want to be a scientist," "I read," "I jog," and "I served as a leader in the chemistry club in high school."

[0222] Transmission of information: The information you enter is encrypted and sent to the server via the HTTPS protocol, which ensures secure transmission of information.

[0223] Data validation and analysis: The server validates the received data and checks for any defects before generating a user profile. For example, the server might create a profile with a goal of becoming a scientist, hobbies of reading and jogging, and experience as a leader in the chemistry club.

[0224] Future scenario generation: The server uses AI to generate various future scenarios based on the user profile. For example, the server generates future scenarios such as "a career in a scientific research lab," "presenting at an international conference," and "reducing stress by jogging," and then selects the most appropriate one.

[0225] Return and display of scenario: The generated future scenario is encrypted and sent to the user's device again via HTTPS. The received scenario is decrypted on the user's device and displayed in an intuitive interface. For example, scenarios such as "Career in a scientific laboratory," "Presenting at an international conference," and "Relieving stress by jogging" are presented to the user.

[0226] Prompt Sentence Examples

[0227] Here are some example prompts to use in scenario generation:

[0228] User's goal: I want to be a scientist, Hobbies: Reading and jogging, Interests: Environmental issues, Past experience: Leader of the chemistry club in high school, Dream: I want to participate in nature conservation activities. Generate the best future scenario for this user.

[0229] By implementing this invention, users can obtain specific future scenarios that are personalized based on their interests and goals, which allows them to understand future options more concretely and makes it easier for them to make plans for self-improvement and goal achievement.

[0230] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[0231] Step 1:

[0232] Users input information such as their goals, hobbies, interests, past experiences, and dreams using an input device (smartphone or PC).

[0233] Input: User information such as goals, hobbies, interests, past experiences, dreams, etc.

[0234] Output: User information stored on the user's device

[0235] Step 2:

[0236] The user terminal encrypts the entered information and sends it to the server using the HTTPS protocol.

[0237] Input: User information stored on the user's device

[0238] Output: Encrypted user information is sent to the server

[0239] Step 3:

[0240] The server decrypts the received encrypted information and verifies it using a data verification device, at which point invalid or defective data is filtered out.

[0241] Input: Encrypted user information

[0242] Output: Verified user information

[0243] Step 4:

[0244] The server generates a user profile based on the verified data.

[0245] Input: Verified user information

[0246] Output: User profile

[0247] Step 5:

[0248] The server uses the user profile to generate future scenarios using an AI model (a custom model based on GPT-4), which is based on data from psychology, sociology, and occupational databases.

[0249] Input: User profile

[0250] Output: Generated future scenario

[0251] Step 6:

[0252] The server evaluates the generated scenarios and selects the most suitable one.

[0253] Input: A set of generated future scenarios

[0254] Output: Selected future scenarios

[0255] Step 7:

[0256] The server re-encrypts the selected future scenarios and sends them to the user terminal using the HTTPS protocol.

[0257] Input: Selected future scenarios

[0258] Output: The encrypted selection scenario is sent to the user terminal.

[0259] Step 8:

[0260] The user terminal decrypts the received encrypted scenario and displays it to the user through an intuitive interface.

[0261] Input: Encrypted screening scenario

[0262] Output: The deciphered future scenario is displayed to the user.

[0263] 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.

[0264] The future scenario generation system of this invention, which combines an emotion engine, generates more personalized future scenarios based on the user's input information and their emotional state. This system consists of three main components: the user, the terminal, and the server.

[0265] System Components

[0266] 1. User's device

[0267] Information input method: Users input information such as their life goals, hobbies, interests, past experiences, and dreams via a device (smartphone or PC).

[0268] Transmission method: The terminal encrypts the entered information and sends it to the server via the HTTPS protocol.

[0269] Emotion recognition means: The device is equipped with a camera and microphone, and includes an emotion engine that analyzes the user's facial expressions and tone of voice to recognize emotions.

[0270] 2. Server

[0271] Validation measures: The server validates the received user information to ensure that all required data is provided, including filtering out invalid or missing data.

[0272] User profile generation method: The server generates a user profile based on the verified data. This profile contains user attribute information.

[0273] Emotion data adjustment means: Further adjusts the user profile based on the emotion data recognized by the emotion engine.

[0274] Scenario generation means: The server uses algorithms based on psychology, sociology, occupational databases, etc. to create future scenarios based on the user profile and adjusted emotional data.

[0275] Selection method: Select the most appropriate scenario from the multiple scenarios generated and choose the positive scenario that the user is likely to encounter.

[0276] Return method: The selected scenario is encrypted and returned to the user's device, again using the HTTPS protocol.

[0277] 3. User's device (redisplay)

[0278] Display method: The received future scenario is displayed in a format that is easy for the user to understand. The interface is designed to be intuitive and easy for the user to understand.

[0279] Program processing flow

[0280] Below is the processing flow of Future Story Lab's system, which combines an emotion engine.

[0281] 1. Enter your user information

[0282] Users use their device to access the Future Story Lab website or app and enter information such as their life goals, hobbies, interests, past experiences, and dreams.

[0283] Example: A user enters "I want to be a scientist," "I read," "I jog," and "I was a leader in the high school chemistry club."

[0284] 2. Transmission of information

[0285] The terminal encrypts the input information using the SSL / TLS protocol and sends this information to the server.

[0286] Example: A device encrypts information such as "I want to be a scientist," "I read," "I jog," and "I was a leader in the high school chemistry club" and sends it to a server.

[0287] 3. Emotional Recognition

[0288] Using the device's camera and microphone, the system analyzes the user's facial expressions and tone of voice to recognize their current emotional state.

[0289] Example: The device analyzes the user's facial expressions and detects emotional states such as "excited" or "expectant."

[0290] 4. Data Verification and Analysis

[0291] The server validates the information received and ensures that all required data is present.

[0292] A user profile is generated based on the verified data.

[0293] The user profile is adjusted based on the emotional data recognized by the emotion engine.

[0294] Example: The server verifies the information and generates and adjusts a user profile based on the following information: "I want to be a scientist," "I read," "I jog," "I was a leader in my high school chemistry club," and "I'm excited right now."

[0295] 5. Generation and selection of future scenarios

[0296] The server generates future scenarios based on user profiles using algorithms from psychology, sociology, and occupational databases.

[0297] The most suitable scenarios are selected from the generated scenarios, taking into account their realism and positive impact.

[0298] Example: A server generates future scenarios such as "building a career in a science laboratory," "how reading affects knowledge development," "improving physical fitness through jogging," and "a scenario in which the current state of excitement is sustained," and selects the most suitable one.

[0299] 6. Returning and displaying the scenario

[0300] The server encrypts the selected future scenarios and sends them to the user's terminal.

[0301] The user terminal displays the received scenario, and the user checks the contents.

[0302] Example: The device receives an encrypted scenario and displays to the user "Career plans in a scientific research lab," "Health benefits of jogging," "Presentation at an international conference," and "Scenarios for when excitement continues."

[0303] Specific examples of embodiments

[0304] Users of Future Story Lab can input their dreams and goals in detail, and the emotion engine can recognize their current emotional state to present more detailed and personalized future scenarios. For example, if a user inputs "I want to be a scientist" and the emotion engine recognizes that they are "excited," the system will present a scenario themed around the joy and excitement of building a career in a scientific research lab. In this way, by incorporating the user's emotions, the system can provide more realistic and relatable future scenarios.

[0305] The processing flow will be explained below.

[0306] Step 1:

[0307] Users use their device to access the Future Story Lab website or app and enter information such as their life goals, hobbies, interests, past experiences, and dreams.

[0308] Example: A user enters "I want to be a scientist," "I read," "I jog," and "I was a leader in the high school chemistry club."

[0309] Step 2:

[0310] The terminal encrypts the input information using the SSL / TLS protocol and sends this information to the server.

[0311] Example: A device encrypts information such as "I want to be a scientist," "I read," "I jog," and "I was a leader in the high school chemistry club" and sends it to a server.

[0312] Step 3:

[0313] Using the device's camera and microphone, the system analyzes the user's facial expressions and tone of voice in real time to recognize their current emotional state.

[0314] Example: The device analyzes the user's facial expressions and detects emotional states such as "excited" or "expectant."

[0315] Step 4:

[0316] The device sends the emotion data it recognizes to the server, which is also encrypted using the SSL / TLS protocol.

[0317] Example: A device encrypts emotional data such as "excited" and sends it to a server.

[0318] Step 5:

[0319] The server verifies the received user information and emotion data and checks whether all necessary data is present. If any data is missing, it returns an error message to the terminal and asks the user to re-enter the data.

[0320] Example: A server verifies the following information: "I want to be a scientist," "I read," "I jog," "I was a leader in my high school chemistry club," and "I'm excited."

[0321] Step 6:

[0322] The server analyzes the verified information and generates a user profile, which includes the user's attribute information and emotional data.

[0323] Example: A server generates a user profile based on the following: "I want to be a scientist," "I read," "I jog," "I was a leader in the high school chemistry club," and "I'm excited right now."

[0324] Step 7:

[0325] The server generates multiple future scenarios based on the user profile using algorithms that reference psychology, sociology, and occupational databases.

[0326] Example: The server generates future scenarios for "Careers in a Science Laboratory," "The Impact of Reading on Knowledge," "The Health Benefits of Jogging," and "Scenarios in an Excited State."

[0327] Step 8:

[0328] The server selects the most suitable future scenario from the generated ones, taking into account the scenario's realism and positive impact.

[0329] Example: The server determines that the following scenarios are suitable: "Career in a scientific laboratory," "Relieving stress through jogging," "The mental calm that comes from reading," and "Presenting at an international conference."

[0330] Step 9:

[0331] The server encrypts the selected future scenarios and sends them to the user's device.

[0332] Example: The server encrypts selected future scenarios and sends scenarios such as "Career in a scientific research lab," "Relieving stress through jogging," and "Presenting at an international conference" to the terminal.

[0333] Step 10:

[0334] The terminal displays the received future scenario to the user. The interface is designed to be intuitive and easy for users to understand.

[0335] Example: The device shows the user scenarios such as "Careers in a scientific laboratory," "The health benefits of jogging," "Presenting at an international conference," and "Scenarios for sustained excitement."

[0336] Step 11:

[0337] The user can review the presented future scenario and, if not satisfied, input feedback to provide further information and request that the scenario be generated again.

[0338] Example: The user provides feedback such as "This career plan seems interesting, but I'd like to know the specific steps," and the scenario is generated again.

[0339] Example 2

[0340] 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."

[0341] In modern society, there is a lack of systems that fully reflect individual characteristics and emotional states when considering future scenarios such as personal life plans and career paths. Furthermore, existing systems lack the ability to comprehensively analyze user information and propose realistic scenarios. This poses a challenge in providing users with personalized, specific, and emotionally relevant future scenarios.

[0342] The identification process by the identification processing unit 290 of the data processing device 12 in the second embodiment is realized by the following means. In this invention, the server includes means for verifying received information and generating a user profile, means for adjusting the user profile based on emotional data, means for generating future scenarios using an algorithm based on the user profile, and means for selecting the optimal one from multiple scenarios. This makes it possible to generate and select personalized future scenarios that reflect the individual characteristics and emotional state of the user.

[0343] "Means for inputting information" refers to a device or interface that allows a user to input information such as life goals, hobbies, interests, past experiences, and dreams using a terminal.

[0344] The "means for transmitting input information to a server" refers to the devices and protocols required to encrypt information input by a user to a terminal and transmit it to a server via a network.

[0345] "Means for recognizing a user's emotional state using a device's camera or microphone" refers to software and hardware that uses a device's camera or microphone to analyze the user's facial expressions and tone of voice to recognize emotions.

[0346] The "means for verifying the information received by the server and generating a user profile" refers to the means for the server to verify the information received from the user, filter out invalid or defective data, and then create a profile including the user's characteristics and attribute information.

[0347] The "means for adjusting a user profile based on emotion data" refers to a means for further refining and adjusting an existing user profile by utilizing emotion data obtained by the emotion recognition means.

[0348] "Means for generating future scenarios using algorithms based on user profiles" refers to means for generating future scenarios using algorithms from psychology, sociology, occupational databases, etc. based on user profiles and adjusted emotional data.

[0349] "Means for selecting the optimal scenario from multiple scenarios" refers to a means for selecting the most appropriate scenario from multiple generated future scenarios, taking into account realism and positive impacts.

[0350] The "means for returning and displaying the generated future scenario to the user" refers to the means for encrypting the generated and selected future scenario, sending it to the user's terminal, and displaying it in a format that the user can check.

[0351] This invention relates to a system that generates future scenarios based on user input information. This system consists of three main components: the user, the terminal, and the server.

[0352] Components

[0353] 1. User's device

[0354] Information input method: Users input information such as their life goals, hobbies, interests, past experiences, and dreams via a device (smartphone or PC).

[0355] Details: Provide information through web forms and input fields in apps.

[0356] Transmission means: The terminal encrypts the input information using the SSL / TLS protocol and transmits it to the server.

[0357] Details: Securely encrypt data using a cryptography library and send it using an HTTP POST request.

[0358] Emotion recognition means: The device is equipped with a camera and microphone, and includes an emotion engine that analyzes the user's facial expressions and tone of voice to recognize emotions.

[0359] Learn more: Analyze data in real time using image and audio analysis libraries to identify emotional states.

[0360] 2. Server

[0361] Validation measures: The server validates the received user information to ensure that all required data is provided, including filtering out invalid or defective data.

[0362] Details: Use a database management system to ingest and cleanse data.

[0363] User profile generation means: The server generates a user profile based on the verified data. This profile includes user attribute information.

[0364] Details: Store user attribute information in a database and structure it as a profile.

[0365] Emotion data adjustment means: Further adjusts the user profile based on the emotion data recognized by the emotion engine.

[0366] Elaboration: Integrate sentiment data into existing profile data to add more detail.

[0367] Scenario generation means: The server uses algorithms based on psychology, sociology, occupational databases, etc. to create future scenarios based on the user profile and adjusted emotional data.

[0368] Details: Using machine learning algorithms, future scenarios are generated using databases and emotional data as input.

[0369] Selection method: Select the most appropriate scenario from the multiple scenarios generated and choose the positive scenario that the user is likely to encounter.

[0370] Details: A ranking algorithm is used to select the best scenario from the generated scenarios.

[0371] Return method: The selected scenario is encrypted and returned to the user's device, again using the HTTPS protocol.

[0372] Details: Encrypt the data again using an encryption library and send it using an HTTP POST request.

[0373] 3. User's device (redisplay)

[0374] Display method: The received future scenario is displayed in a format that is easy for the user to understand. The interface is designed to be intuitive and easy for the user to understand.

[0375] Details: A graphical user interface (GUI) is used to display received data, providing information in a format that is easy for users to select and understand.

[0376] Specific examples

[0377] The user inputs "I want to be a scientist," "Reading," "Jogging," and "Experience as a leader in the high school chemistry club." The device encrypts this information and sends it to the server, which then uses the camera and microphone to analyze the user's emotional state, such as "Excited" or "Expecting." After verifying this information, the server generates a user profile and integrates the emotional data to adjust the profile. It uses an algorithm to generate future scenarios, such as "Build a career in a science lab," selects the most suitable scenario, and sends it back to the device. The device displays the received scenarios in an intuitive user interface.

[0378] Prompt Sentence Examples

[0379] Examples of prompts that users can use to predict the future using Future Story Lab include:

[0380] "I want to be a scientist. I enjoy reading and jogging. I was a leader in my high school chemistry club and I'm excited about it."

[0381] The flow of the identification process in the second embodiment will be described with reference to FIG.

[0382] Step 1:

[0383] Entering user information

[0384] Users use their device to access the Future Story Lab website or app.

[0385] Users enter information such as their life goals, hobbies, interests, past experiences, and dreams.

[0386] Input: Information such as your life goals, hobbies, interests, past experiences, dreams, etc.

[0387] Output: The information entered by the user is saved on the device.

[0388] What happens: A user enters information into a web form or app input field and presses the submit button.

[0389] Step 2:

[0390] Sending information

[0391] The terminal encrypts the information entered by the user using the SSL / TLS protocol.

[0392] The terminal transmits the encrypted information to the server.

[0393] Input: User input information in the device.

[0394] Output: Encrypted user information is sent to the server.

[0395] What it does: Encrypts data using the encryption library with the SSL / TLS protocol and sends an HTTP POST request.

[0396] Step 3:

[0397] Emotion recognition

[0398] The device uses a camera and microphone to capture the user's facial expressions and tone of voice.

[0399] The device activates an emotion engine to analyze this data and recognize emotions.

[0400] Input: Real-time data from camera and microphone.

[0401] Output: Recognized user emotion data.

[0402] What it does: Analyzes data in real time using image and audio analysis libraries to identify emotional states.

[0403] Step 4:

[0404] Data validation and profile generation

[0405] The server validates the received user information and filters out invalid or defective data.

[0406] The server generates a user profile based on the verified data, which includes user attribute information.

[0407] The server further adjusts the user profile based on the emotion data recognized by the emotion engine.

[0408] Input: User information and emotion data sent to the server.

[0409] Output: Validated data and adjusted user profiles.

[0410] Specific operations: Use a database management system to ingest data, clean the data, generate user profiles, and integrate sentiment data.

[0411] Step 5:

[0412] Generation and selection of future scenarios

[0413] The server generates future scenarios based on user profiles using algorithms from psychology, sociology, and occupational databases.

[0414] The server selects the most suitable scenario from the generated ones, taking into account the scenario's realism and positive impact.

[0415] Input: The adjusted user profile.

[0416] Output: Optimal future scenario.

[0417] Specific operation: Using a machine learning algorithm, future scenarios are generated using database and emotional data as input, and the optimal scenario is selected using a ranking algorithm.

[0418] Step 6:

[0419] Returning and displaying scenarios

[0420] The server encrypts the selected future scenarios and transmits them to the user terminal.

[0421] The terminal displays the received scenario so that the user can check the contents.

[0422] Input: Optimal future scenario from the server.

[0423] Output: Future scenarios displayed in a format that can be viewed by the user.

[0424] Specific operation: Encrypt the scenario, send an HTTP POST request, analyze the received data, and display it in the GUI.

[0425] (Application example 2)

[0426] 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."

[0427] In today's shopping experience, personalized product suggestions based on users' emotional state and interests are lacking, making it difficult for users to find the best products that fit their current feelings and needs. This can lead to low user satisfaction. Furthermore, especially in physical stores, the difficulty of receiving product suggestions that are in tune with users' emotions in real time leads to inconsistent quality of the shopping experience.

[0428] The specific processing by the specific processing unit 290 of the data processing device 12 in Application Example 2 is realized by the following means. In this invention, the server includes a means for inputting information, a means for transmitting the input information to the server, a means for verifying the information received by the server and generating a user profile, a means for generating a future scenario using an algorithm based on the user profile, a means for recognizing an emotional state using a smartphone or smart glasses and generating a personalized shopping scenario, and a means for returning and displaying the generated future scenario to the user. This allows product suggestions based on the user's emotional state and interests to be provided in real time, thereby improving purchasing satisfaction.

[0429] The "means for inputting information" refers to a device or method that allows a user to input information such as their interests, concerns, purchase history, and the like.

[0430] The "means for transmitting input information to the server" refers to a protocol or device for encrypting information input by the user and transmitting it to the server.

[0431] The "means for verifying information and generating a user profile" refers to a device or method that checks the information received by the server and creates a profile to analyze the user's attributes and tendencies.

[0432] A "means for generating future scenarios using an algorithm" is a device or method that uses an algorithm that utilizes scientific data from psychology, sociology, etc. to create future scenarios based on user profiles.

[0433] "Means for recognizing emotional states using a smartphone or smart glasses" refers to a device or method that uses the camera or microphone of a smart device to analyze emotions from a user's facial expressions and voice.

[0434] A "means for generating personalized shopping scenarios" is a device or method that creates individualized product suggestions based on a user's emotional state and interests.

[0435] The "means for returning and displaying the generated future scenario to the user" refers to a device or method in which the server encrypts the scenario generated, transmits it to the user's terminal, and presents it to the user visually or audibly.

[0436] The present invention is a personalized shopping scenario generation system that combines an emotion recognition engine. A specific embodiment of this system is described below.

[0437] System Components

[0438] 1. User's device

[0439] Information input means: Provides an interface for users to input their interests, concerns, past purchase history, etc. Users use this interface to input information from their smartphone or PC.

[0440] Transmission means: The information entered by the user is encrypted and sent to the server via the HTTPS protocol.

[0441] Emotion recognition: The device is equipped with a camera and microphone, and includes an emotion engine that analyzes the user's facial expressions and tone of voice to recognize emotions. Specifically, it uses APIs from Azure Cognitive Services and Google Cloud Vision.

[0442] 2. Server

[0443] Validation method: The server validates the received user information to ensure that all required data is provided. Invalid or defective data is filtered.

[0444] User profile generation method: The server generates a user profile based on the verified data and stores and manages the user's attribute information. MySQL or PostgreSQL is used as the database.

[0445] Emotion data adjustment means: Further adjusts the user profile based on the emotion data recognized by the emotion engine.

[0446] Scenario generation means: The server uses algorithms based on psychology, sociology, occupational databases, etc. to generate future scenarios based on the user profile and adjusted emotional data.

[0447] Selection method: Select the most appropriate scenario from the multiple scenarios generated and choose the positive scenario that the user is likely to encounter.

[0448] Return method: The selected scenario is encrypted and sent back to the user's device. Again, the HTTPS protocol is used.

[0449] 3. User's device (redisplay)

[0450] Display means: The system has an interface that displays the received personalized shopping scenario in a format that is easy for the user to understand. The interface is designed to be intuitive and easy for the user to understand.

[0451] Program processing overview

[0452] The server runs a program using Python. It processes the user information it receives, performs necessary verification, and generates a user profile. It then adjusts the profile based on emotion recognition data and uses an algorithm to generate a future scenario. Finally, it returns this scenario to the user and displays it on their device.

[0453] Specific examples

[0454] If a user inputs "fashion," "sports," or "reading" into the app and the current emotion of "excitement" is recognized, the server will generate scenarios such as "new fashion items," "sale information on sports goods," and "recently released books," and select the most appropriate one to provide to the user.

[0455] Example prompt sentence:

[0456] Want recommendations based on your current mood and interests? Something special happening right now? Choose from the following categories: Fashion, Sports, Reading.

[0457] The system uses Azure Cognitive Services' emotion recognition API and MySQL database, ensuring secure data communication using HTTPS protocol. This allows users to enjoy a real-time, personalized shopping experience that is sensitive to their emotions.

[0458] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[0459] Step 1:

[0460] A user accesses the shopping assistant app on their device and enters information such as their interests and past purchase history, including categories such as "fashion," "sports," and "reading." The app then formats the information.

[0461] (Input): User's selected interest categories and past purchase history.

[0462] (Data processing): Convert information into JSON format.

[0463] (Output): User information in JSON format.

[0464] Step 2:

[0465] The information entered on the device is encrypted using the SSL / TLS protocol and sent to the server. This transmission uses the HTTPS protocol to ensure security.

[0466] (Input): User information in JSON format.

[0467] (Data calculation): Information is encrypted using SSL / TLS.

[0468] (Output): Encrypted user information.

[0469] Step 3:

[0470] The device's camera and microphone are used to analyze the user's facial expressions and tone of voice to recognize their current emotional state. Emotion recognition is performed using the Azure Cognitive Services API. The analysis results are collected as emotional data.

[0471] (Input): User's facial expression, tone of voice.

[0472] (Data Computation): Analysis of emotional states.

[0473] (Output): Recognized emotion data (e.g. excited).

[0474] Step 4:

[0475] The server validates the information received to ensure all required data is present. Invalid or defective data is filtered out.

[0476] (Input): Encrypted user information.

[0477] (Data processing): Data validation and filtering.

[0478] (Output): The verified user data.

[0479] Step 5:

[0480] The server generates a user profile based on the verified user data and stores and manages the user's attribute information. MySQL is used as the database.

[0481] (Input): Validated user data.

[0482] (Data processing): Creation of user profiles.

[0483] (Output): The user profile stored in the database.

[0484] Step 6:

[0485] The server adjusts the user profile based on the emotion recognition data, which includes modifying the profile weights and parameters based on the emotion data.

[0486] (Input): User profile, recognized emotion data.

[0487] (Data calculation): Profile adjustment.

[0488] (Output): The adjusted user profile.

[0489] Step 7:

[0490] The server uses algorithms based on psychology, sociology, and occupational databases to generate future scenarios based on user profiles and adjusted emotional data. This is done using a generative AI model.

[0491] (Input): The adjusted user profile.

[0492] (Data calculation): Execution of future scenario generation algorithm.

[0493] (Output): Generated future scenario.

[0494] Step 8:

[0495] The server selects the most appropriate future scenario from the generated ones, taking into account the scenario's realism and positive impact.

[0496] (Input): Generated future scenario.

[0497] (Data calculation): Evaluation and selection of scenarios.

[0498] (Output): A suitable future scenario.

[0499] Step 9:

[0500] The server encrypts the selected future scenario and sends it to the user's device. This communication is also secured using the HTTPS protocol.

[0501] (Input): A suitable future scenario.

[0502] (Data calculation): Encryption of scenario.

[0503] (Output): Encrypted future scenario.

[0504] Step 10:

[0505] The terminal interprets the received future scenario and displays it to the user in an easy-to-understand format. The display interface is designed to be intuitive and easy to understand.

[0506] (Input): Encrypted future scenario.

[0507] (Data Calculation): Deciphering the scenario.

[0508] (Output): The future scenario displayed to the user.

[0509] 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.

[0510] 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.

[0511] 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.

[0512] [Second embodiment]

[0513] FIG. 3 shows an example of the configuration of a data processing system 210 according to the second embodiment.

[0514] 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.

[0515] 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).

[0516] 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.

[0517] 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.

[0518] 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).

[0519] 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. 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.

[0520] 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.

[0521] 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.

[0522] 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.

[0523] In the smart glasses 214, 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.

[0524] 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."

[0525] Our invention, Future Story Lab, is a system that generates personalized future scenarios based on user information. This system consists of three main components: the user, the device, and the server.

[0526] System Components

[0527] 1. User's device

[0528] Information input method: Users input information such as their life goals, hobbies, interests, past experiences, and dreams via a device (smartphone or PC).

[0529] Transmission method: The terminal encrypts the entered information and sends it to the server via the HTTPS protocol.

[0530] 2. Server

[0531] Validation measures: The server validates the received user information to ensure that all required data is provided, including filtering out invalid or missing data.

[0532] User profile generation method: The server generates a user profile based on the verified data. This profile contains user attribute information.

[0533] Scenario generation means: The server uses algorithms based on psychology, sociology, occupational databases, etc. to create future scenarios based on the user profile.

[0534] Selection method: Select the most appropriate scenario from the multiple scenarios generated and choose the positive scenario that the user is likely to encounter.

[0535] Return method: The selected scenario is encrypted and returned to the user's device, again using the HTTPS protocol.

[0536] 3. User's device (redisplay)

[0537] Display method: The received future scenario is displayed in a format that is easy for the user to understand. The interface is designed to be intuitive and easy for the user to understand.

[0538] Program processing flow

[0539] Below is the processing flow performed by Future Story Lab's system program.

[0540] 1. Enter your user information

[0541] Users use their device to access the Future Story Lab website or app and enter information such as their life goals, hobbies, interests, past experiences, and dreams.

[0542] Example: A user enters "I want to be a scientist," "I read," "I jog," and "I was a leader in the high school chemistry club."

[0543] 2. Transmission of information

[0544] The terminal encrypts the entered information and sends it to the server.

[0545] Example: Encrypted information is securely sent from the device to the server.

[0546] 3. Data Verification and Analysis

[0547] The server validates the information received and ensures that all required data is present.

[0548] A user profile is generated based on the verified data.

[0549] Example: The server validates the information entered and generates a profile that includes "goal of becoming a scientist," "hobbies include reading and jogging," and "experience as a leader in the chemistry club."

[0550] 4. Generation and selection of future scenarios

[0551] The server generates multiple future scenarios based on the user profile using algorithms from psychology, sociology, and occupational databases.

[0552] The most appropriate scenario is selected from the generated scenarios.

[0553] Example: The server generates future scenarios such as "a career in a scientific research lab," "presenting at an international conference," and "reducing stress through jogging," and then selects the most realistic and appropriate scenario from among them.

[0554] 5. Returning and displaying the scenario

[0555] The server encrypts the selected scenario and sends it to the user's terminal.

[0556] The user terminal displays the received scenario, and the user checks the contents.

[0557] Example: The device receives an encrypted scenario and displays content such as "Career in a chemistry laboratory," "Presenting at an international conference," and "Relieving stress by jogging" to the user.

[0558] Specific examples of embodiments

[0559] Users of Future Story Lab can simulate detailed future prospects by specifically inputting their dreams and goals. For example, if a user inputs "I want to be a scientist," they will be presented with scenarios in which they experience working in a scientific laboratory, presenting at an international conference, or even jogging regularly, which helps reduce stress. These personalized future scenarios allow users to specifically consider future options and help them plan actions for self-improvement and goal achievement.

[0560] The processing flow will be explained below.

[0561] Step 1:

[0562] Users access the Future Story Lab website or app using their device, and through the interface, they input information about their life goals, hobbies, interests, past experiences, dreams, and more.

[0563] Example: A user enters "I want to be a scientist," "I read," "I jog," and "I was a leader in the high school chemistry club."

[0564] Step 2:

[0565] The terminal encrypts the input information using the SSL / TLS protocol and sends this information to the server.

[0566] Example: A device encrypts information such as "I want to be a scientist," "I read," "I jog," and "I have experience as a leader in the high school chemistry club" and sends it to a server.

[0567] Step 3:

[0568] The server validates the information it receives. If the information is missing or contains invalid data, the server returns an error message to the terminal, prompting it to re-enter the correct data.

[0569] Example: The server verifies the information and finds that the hobby "reading" is not specific enough, so it sends a message to the device saying "Please enter more specific reading details."

[0570] Step 4:

[0571] The server analyzes the verified information and generates a user profile, which includes the user's inputted attributes such as life goals, hobbies, interests, past experiences, and dreams.

[0572] Example: A server generates a user profile based on the following: "I want to be a scientist," "I read," "I jog," and "I was a leader in the high school chemistry club."

[0573] Step 5:

[0574] The server generates multiple future scenarios based on the user profile using an algorithm that references scientific data such as psychology, sociology, and occupational databases.

[0575] Example: The server generates future scenarios for "building a career as a scientist," "how reading affects knowledge development," and "improving physical fitness through jogging."

[0576] Step 6:

[0577] The server filters the generated future scenarios and selects the most suitable ones, taking into account the scenario's realism and positive impact.

[0578] Example: From the scenarios generated by the server, the following three scenarios are determined to be the most suitable: "Career in a chemistry laboratory," "Presenting at an international conference," and "Relieving stress through jogging."

[0579] Step 7:

[0580] The server re-encrypts the selected future scenario using the SSL / TLS protocol and sends it back to the user's device.

[0581] Example: The server encrypts selected future scenarios and sends the scenarios "Career in a scientific research lab," "Presenting at an international conference," and "Relieving stress by jogging" to the terminal.

[0582] Step 8:

[0583] The terminal displays the received future scenario to the user. The interface is designed to be intuitive and easy for users to understand.

[0584] Example: The device shows the user future scenarios such as "Career planning in a chemical research lab," "Health benefits of jogging," and "Presenting at an international conference."

[0585] Step 9:

[0586] The user can review the presented future scenario and, if not satisfied, input feedback to provide further information and request that the scenario be generated again.

[0587] Example: The user provides feedback such as "This career plan seems interesting, but I'd like to know the specific steps," and the scenario is generated again.

[0588] Example 1

[0589] 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."

[0590] In modern society, it is important for individuals to have specific scenarios for their own future. However, currently available systems are not sufficient in generating and optimizing personalized future scenarios based on user information. In particular, validation of input data, generation of user profiles, and appropriate generation and selection of future scenarios using scientific data are issues.

[0591] 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.

[0592] In this invention, the server includes means for providing an interface for a user to input information, means for encrypting the input information and sending it to the server, means for verifying the information received by the server and generating a user profile, means for generating future scenarios using a generative AI model based on the user profile, means for selecting the optimal one from the generated future scenarios, and means for encrypting the selected future scenario and returning it to the user's terminal for display. This enables the generation and optimization of personalized future scenarios based on user information.

[0593] "Means for providing an interface for users to input information" refers to a function that provides a website or application screen, etc., so that users can input their own information.

[0594] "Means for encrypting input information and sending it to a server" refers to means for using an encryption protocol to securely protect data entered by a user and sending that data to a server via the Internet.

[0595] "Means for verifying the information received by the server and generating a user profile" refers to the function by which the server checks the data sent by the user, verifies that all necessary information is included, and creates a detailed profile of the user based on that information.

[0596] "Means for generating future scenarios using a generative AI model based on a user profile" refers to a function that uses data obtained from the user profile to create future scenarios for the user using a generated AI algorithm.

[0597] The "means for selecting the most appropriate future scenario from among multiple generated scenarios" is an algorithm for selecting the most appropriate and realistic scenario for the user from among the many generated scenarios.

[0598] "Means for encrypting the selected future scenario, returning it to the user's terminal, and displaying it" refers to a function that re-encrypts the selected scenario, sends it to the user's terminal via the Internet, and displays the information in a form that the user can refer to.

[0599] The system of the present invention generates personalized future scenarios based on user information. This system basically consists of three main components: the user, the terminal, and the server.

[0600] System Components

[0601] 1. User's device

[0602] Information input method: Users input information such as life goals, hobbies, interests, past experiences, dreams, etc. using a smartphone or PC. This input interface is intuitive and designed to be easy for users to use.

[0603] Transmission method: The terminal encrypts the information entered by the user using the AES-256bit algorithm and transmits it to the server via the HTTPS protocol.

[0604] 2. Server

[0605] Validation method: The server validates the information it receives, specifically ensuring that all required data is present and filtering out incomplete or invalid data.

[0606] User profile generation means: A user profile is generated based on the verified data. This profile contains detailed information about the user's attributes.

[0607] Scenario generation means: The server generates future scenarios based on user profiles using generative AI models based on scientific data such as psychology, sociology, and occupational databases.

[0608] Selection method: Select the most appropriate scenario from the multiple scenarios generated. The algorithm prioritizes the most positive and realistic scenario for the user.

[0609] Return method: The selected scenario is re-encrypted and sent to the user's device via the HTTPS protocol.

[0610] 3. User's device (redisplay)

[0611] Display method: The received future scenario is displayed in a format that is easy for the user to understand. The interface is designed to be intuitive and easy for the user to understand.

[0612] Specific program operations and processing

[0613] 1. Enter and submit user information

[0614] The user enters information into the terminal, which is then encrypted and sent to the server.

[0615] Examples:

[0616] Life goal: I want to be a scientist

[0617] Hobbies: Reading, jogging

[0618] Past experience: Leader of the chemistry club in high school

[0619] Dream: I want to become a university professor

[0620] 2. Data validation and user profile generation

[0621] The server validates the received information, filters out any missing data, and then generates a user profile, which is saved in JSON format.

[0622] 3. Generation and selection of future scenarios

[0623] The server uses a generative AI model to generate future scenarios based on the user profile. Multiple scenarios are generated, and the most appropriate one is selected.

[0624] Examples:

[0625] Scientific laboratory careers

[0626] Presentation at an international conference

[0627] Jogging reduces stress

[0628] 4. Return and display of scenario

[0629] The server encrypts the selected scenario and sends it to the user's device using the HTTPS protocol. The user's device decrypts the received scenario and displays it in an easy-to-understand format.

[0630] Examples:

[0631] The device receives the encrypted scenario and, after decrypting it, displays the following scenarios to the user: "Career in a chemical laboratory," "Presenting at an international conference," and "Relieving stress through jogging."

[0632] This allows the present invention to generate, optimize, and safely display personalized future scenarios based on user-entered information, and by using generative AI models, it is possible to provide realistic and positive scenarios based on scientific data.

[0633] The flow of the identification process in the first embodiment will be described with reference to FIG.

[0634] Program processing flow

[0635] Step 1: Enter your user information

[0636] A user accesses the future scenario generation system via a terminal. Using the interface, the user inputs information such as their life goals, hobbies, interests, past experiences, and dreams. This is done using form components such as text boxes and check boxes.

[0637] Specific behavior:

[0638] The user enters the following information:

[0639] Life goal: I want to be a scientist

[0640] Hobbies: Reading, jogging

[0641] Past experience: Leader of the chemistry club in high school

[0642] Dream: I want to become a university professor

[0643] Step 2: Submit your information

[0644] The device receives the entered information, encrypts it using the AES-256 bit algorithm, and then sends the encrypted information to the server using the HTTPS protocol.

[0645] Input: Information entered by the user

[0646] Output: Encrypted data is sent to the server

[0647] Specific behavior:

[0648] The device encrypts data such as "I want to be a scientist," "Reading," "Jogging," and "Experience as a leader in the high school chemistry club" and sends it to the server.

[0649] Step 3: Validate the data

[0650] The server decrypts the received information and verifies that all necessary data is present. During the verification process, incomplete or invalid data is filtered out.

[0651] Input: Encrypted user information

[0652] Output: Validated data

[0653] Specific behavior:

[0654] The server decrypts the received data and checks the following:

[0655] Is "My goal to become a scientist" correct in text format?

[0656] Is "My hobbies are reading and jogging" valid information?

[0657] Is the "Chemistry Club Leader Experience" entered correctly?

[0658] Step 4: Create a user profile

[0659] The server generates a user profile based on the verified data, detailing the user's goals, hobbies, past experiences, etc. The profile is stored in JSON format.

[0660] Input: Validated data

[0661] Output: User profile

[0662] Specific behavior:

[0663] The server generates a user profile based on "goal to become a scientist," "hobbies are reading and jogging," and "experience as a leader in the chemistry club," and saves it in JSON format.

[0664] Step 5: Generate future scenarios

[0665] The server uses a generative AI model to generate future scenarios based on the user profile. The algorithm utilizes data from psychology, sociology, and occupational databases.

[0666] Input: User Profile

[0667] Output: Multiple future scenarios

[0668] Specific behavior:

[0669] The server generates the following scenario:

[0670] Scientific laboratory careers

[0671] Presentation at an international conference

[0672] Jogging reduces stress

[0673] Step 6: Screening scenarios

[0674] The server selects the most appropriate scenario from the generated scenarios. The selection algorithm prioritizes realistic and positive scenarios.

[0675] Input: Multiple future scenarios

[0676] Output: Optimal future scenario

[0677] Specific behavior:

[0678] The server evaluates the generated scenarios and determines that "Career in a Science Laboratory" is the most realistic and positive scenario.

[0679] Step 7: Return and view the scenario

[0680] The server re-encrypts the selected future scenarios and sends them to the user's device via HTTPS. The device then decrypts the received scenarios and displays them in a user-friendly format.

[0681] Input: Selected future scenarios

[0682] Output: The decrypted scenario is displayed on the terminal.

[0683] Specific behavior:

[0684] The terminal receives the encrypted scenario and, after decryption, displays the following scenario to the user:

[0685] Chemical Laboratory Career

[0686] Presentation at an international conference

[0687] Jogging to relieve stress

[0688] (Application example 1)

[0689] 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."

[0690] Conventional personalization systems only consider specific goals, hobbies, and interests when generating a user's future scenario. This makes it difficult to provide the specific shopping experience or future lifestyle scenario that the user desires. Another issue is the lack of a means to propose future scenarios that are adapted to the user's needs.

[0691] 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.

[0692] In this invention, the server includes means for verifying information and generating a user profile, means for generating a future scenario using an algorithm, means for returning and displaying the generated future scenario to the user, and means for personalizing the shopping experience and providing the future scenario based on the user's input goals, hobbies, interests, etc. This allows the user to receive a future scenario based on their specific desires and interests.

[0693] An "information input device" is a combination of hardware and software that allows a user to input data such as goals, hobbies, and interests.

[0694] A "device that transmits input information to a server" is a system that encrypts data entered by a user and transmits it to a server using the HTTPS protocol or the like.

[0695] The "device for verifying information received by a server and generating a user profile" refers to a system that verifies the user data received by a server, filters out invalid data, and then generates a profile summarizing the user's characteristics.

[0696] A "device that generates future scenarios using an algorithm based on a user profile" is a system that creates future scenarios using an algorithm that uses psychology, sociology, occupational databases, etc. based on the generated user profile.

[0697] The "device that returns and displays the generated future scenario to the user" is a system that encrypts the future scenario generated on the server, sends it back to the user's terminal via the HTTPS protocol, etc., and displays it in a format that is easy for the user to understand.

[0698] "A device that personalizes the shopping experience and provides future scenarios based on the user's input goals, hobbies, interests, etc." is a system that takes into account the user's goals, hobbies, and interests and suggests optimal shopping experiences and future lifestyle scenarios tailored to their needs.

[0699] This invention is comprised of multiple devices and a system that generates personalized future scenarios based on user input information. The system is primarily comprised of a terminal for inputting and sending information, a server for verifying and processing the data, and a terminal for displaying the results.

[0700] Overall system configuration and technologies used

[0701] 1. User Device:

[0702] Information input device: A device equipped with an interface that allows users to input their goals, hobbies, interests, past experiences, dreams, etc. This input device uses a general terminal such as a smartphone or PC.

[0703] Transmitter: Has the function of encrypting input information and sending it to the server using a secure communication protocol (HTTPS).

[0704] 2. Server:

[0705] Data Validator: The server validates the received information, filters invalid or defective data, and generates user profiles. Here, data processing is done using Node.js (Express framework).

[0706] Future scenario generator: Based on the generated user profile, the server utilizes data from psychology, sociology, and occupational databases to generate future scenarios using an algorithm. The AI ​​model used here is a custom model based on GPT-4.

[0707] Information return device: The selected scenario is encrypted and returned to the user terminal using the HTTPS protocol.

[0708] 3. User terminal again:

[0709] Display device: The received future scenario is displayed in a user-friendly format. The display format here is a simple and intuitive interface, designed to be easily understood by the user.

[0710] Process Details

[0711] Input of user information: The user accesses the future scenario generation app and inputs specific data such as goals, hobbies, interests, past experiences, dreams, etc. For example, "I want to be a scientist," "I read," "I jog," and "I served as a leader in the chemistry club in high school."

[0712] Transmission of information: The information you enter is encrypted and sent to the server via the HTTPS protocol, which ensures secure transmission of information.

[0713] Data validation and analysis: The server validates the received data and checks for any defects before generating a user profile. For example, the server might create a profile with a goal of becoming a scientist, hobbies of reading and jogging, and experience as a leader in the chemistry club.

[0714] Future scenario generation: The server uses AI to generate various future scenarios based on the user profile. For example, the server generates future scenarios such as "a career in a scientific research lab," "presenting at an international conference," and "reducing stress by jogging," and then selects the most appropriate one.

[0715] Return and display of scenario: The generated future scenario is encrypted and sent to the user's device again via HTTPS. The received scenario is decrypted on the user's device and displayed in an intuitive interface. For example, scenarios such as "Career in a scientific laboratory," "Presenting at an international conference," and "Relieving stress by jogging" are presented to the user.

[0716] Prompt Sentence Examples

[0717] Here are some example prompts to use in scenario generation:

[0718] User's goal: I want to be a scientist, Hobbies: Reading and jogging, Interests: Environmental issues, Past experience: Leader of the chemistry club in high school, Dream: I want to participate in nature conservation activities. Generate the best future scenario for this user.

[0719] By implementing this invention, users can obtain specific future scenarios that are personalized based on their interests and goals, which allows them to understand future options more concretely and makes it easier for them to make plans for self-improvement and goal achievement.

[0720] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[0721] Step 1:

[0722] Users input information such as their goals, hobbies, interests, past experiences, and dreams using an input device (smartphone or PC).

[0723] Input: User information such as goals, hobbies, interests, past experiences, dreams, etc.

[0724] Output: User information stored on the user's device

[0725] Step 2:

[0726] The user terminal encrypts the entered information and sends it to the server using the HTTPS protocol.

[0727] Input: User information stored on the user's device

[0728] Output: Encrypted user information is sent to the server

[0729] Step 3:

[0730] The server decrypts the received encrypted information and verifies it using a data verification device, at which point invalid or defective data is filtered out.

[0731] Input: Encrypted user information

[0732] Output: Verified user information

[0733] Step 4:

[0734] The server generates a user profile based on the verified data.

[0735] Input: Verified user information

[0736] Output: User profile

[0737] Step 5:

[0738] The server uses the user profile to generate future scenarios using an AI model (a custom model based on GPT-4), which is based on data from psychology, sociology, and occupational databases.

[0739] Input: User profile

[0740] Output: Generated future scenario

[0741] Step 6:

[0742] The server evaluates the generated scenarios and selects the most suitable one.

[0743] Input: A set of generated future scenarios

[0744] Output: Selected future scenarios

[0745] Step 7:

[0746] The server re-encrypts the selected future scenarios and sends them to the user terminal using the HTTPS protocol.

[0747] Input: Selected future scenarios

[0748] Output: The encrypted selection scenario is sent to the user terminal.

[0749] Step 8:

[0750] The user terminal decrypts the received encrypted scenario and displays it to the user through an intuitive interface.

[0751] Input: Encrypted screening scenario

[0752] Output: The deciphered future scenario is displayed to the user.

[0753] 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.

[0754] The future scenario generation system of this invention, which combines an emotion engine, generates more personalized future scenarios based on the user's input information and their emotional state. This system consists of three main components: the user, the terminal, and the server.

[0755] System Components

[0756] 1. User's device

[0757] Information input method: Users input information such as their life goals, hobbies, interests, past experiences, and dreams via a device (smartphone or PC).

[0758] Transmission method: The terminal encrypts the entered information and sends it to the server via the HTTPS protocol.

[0759] Emotion recognition means: The device is equipped with a camera and microphone, and includes an emotion engine that analyzes the user's facial expressions and tone of voice to recognize emotions.

[0760] 2. Server

[0761] Validation measures: The server validates the received user information to ensure that all required data is provided, including filtering out invalid or missing data.

[0762] User profile generation method: The server generates a user profile based on the verified data. This profile contains user attribute information.

[0763] Emotion data adjustment means: Further adjusts the user profile based on the emotion data recognized by the emotion engine.

[0764] Scenario generation means: The server uses algorithms based on psychology, sociology, occupational databases, etc. to create future scenarios based on the user profile and adjusted emotional data.

[0765] Selection method: Select the most appropriate scenario from the multiple scenarios generated and choose the positive scenario that the user is likely to encounter.

[0766] Return method: The selected scenario is encrypted and returned to the user's device, again using the HTTPS protocol.

[0767] 3. User's device (redisplay)

[0768] Display method: The received future scenario is displayed in a format that is easy for the user to understand. The interface is designed to be intuitive and easy for the user to understand.

[0769] Program processing flow

[0770] Below is the processing flow of Future Story Lab's system, which combines an emotion engine.

[0771] 1. Enter your user information

[0772] Users use their device to access the Future Story Lab website or app and enter information such as their life goals, hobbies, interests, past experiences, and dreams.

[0773] Example: A user enters "I want to be a scientist," "I read," "I jog," and "I was a leader in the high school chemistry club."

[0774] 2. Transmission of information

[0775] The terminal encrypts the input information using the SSL / TLS protocol and sends this information to the server.

[0776] Example: A device encrypts information such as "I want to be a scientist," "I read," "I jog," and "I was a leader in the high school chemistry club" and sends it to a server.

[0777] 3. Emotional Recognition

[0778] Using the device's camera and microphone, the system analyzes the user's facial expressions and tone of voice to recognize their current emotional state.

[0779] Example: The device analyzes the user's facial expressions and detects emotional states such as "excited" or "expectant."

[0780] 4. Data Verification and Analysis

[0781] The server validates the information received and ensures that all required data is present.

[0782] A user profile is generated based on the verified data.

[0783] The user profile is adjusted based on the emotional data recognized by the emotion engine.

[0784] Example: The server verifies the information and generates and adjusts a user profile based on the following information: "I want to be a scientist," "I read," "I jog," "I was a leader in my high school chemistry club," and "I'm excited right now."

[0785] 5. Generation and selection of future scenarios

[0786] The server generates future scenarios based on user profiles using algorithms from psychology, sociology, and occupational databases.

[0787] The most suitable scenarios are selected from the generated scenarios, taking into account their realism and positive impact.

[0788] Example: A server generates future scenarios such as "building a career in a science laboratory," "how reading affects knowledge development," "improving physical fitness through jogging," and "a scenario in which the current state of excitement is sustained," and selects the most suitable one.

[0789] 6. Returning and displaying the scenario

[0790] The server encrypts the selected future scenarios and sends them to the user's terminal.

[0791] The user terminal displays the received scenario, and the user checks the contents.

[0792] Example: The device receives an encrypted scenario and displays to the user "Career plans in a scientific research lab," "Health benefits of jogging," "Presentation at an international conference," and "Scenarios for when excitement continues."

[0793] Specific examples of embodiments

[0794] Users of Future Story Lab can input their dreams and goals in detail, and the emotion engine can recognize their current emotional state to present more detailed and personalized future scenarios. For example, if a user inputs "I want to be a scientist" and the emotion engine recognizes that they are "excited," the system will present a scenario themed around the joy and excitement of building a career in a scientific research lab. In this way, by incorporating the user's emotions, the system can provide more realistic and relatable future scenarios.

[0795] The processing flow will be explained below.

[0796] Step 1:

[0797] Users use their device to access the Future Story Lab website or app and enter information such as their life goals, hobbies, interests, past experiences, and dreams.

[0798] Example: A user enters "I want to be a scientist," "I read," "I jog," and "I was a leader in the high school chemistry club."

[0799] Step 2:

[0800] The terminal encrypts the input information using the SSL / TLS protocol and sends this information to the server.

[0801] Example: A device encrypts information such as "I want to be a scientist," "I read," "I jog," and "I was a leader in the high school chemistry club" and sends it to a server.

[0802] Step 3:

[0803] Using the device's camera and microphone, the system analyzes the user's facial expressions and tone of voice in real time to recognize their current emotional state.

[0804] Example: The device analyzes the user's facial expressions and detects emotional states such as "excited" or "expectant."

[0805] Step 4:

[0806] The device sends the emotion data it recognizes to the server, which is also encrypted using the SSL / TLS protocol.

[0807] Example: A device encrypts emotional data such as "excited" and sends it to a server.

[0808] Step 5:

[0809] The server verifies the received user information and emotion data and checks whether all necessary data is present. If any data is missing, it returns an error message to the terminal and asks the user to re-enter the data.

[0810] Example: A server verifies the following information: "I want to be a scientist," "I read," "I jog," "I was a leader in my high school chemistry club," and "I'm excited."

[0811] Step 6:

[0812] The server analyzes the verified information and generates a user profile, which includes the user's attribute information and emotional data.

[0813] Example: A server generates a user profile based on the following: "I want to be a scientist," "I read," "I jog," "I was a leader in the high school chemistry club," and "I'm excited right now."

[0814] Step 7:

[0815] The server generates multiple future scenarios based on the user profile using algorithms that reference psychology, sociology, and occupational databases.

[0816] Example: The server generates future scenarios for "Careers in a Science Laboratory," "The Impact of Reading on Knowledge," "The Health Benefits of Jogging," and "Scenarios in an Excited State."

[0817] Step 8:

[0818] The server selects the most suitable future scenario from the generated ones, taking into account the scenario's realism and positive impact.

[0819] Example: The server determines that the following scenarios are suitable: "Career in a scientific laboratory," "Relieving stress through jogging," "The mental calm that comes from reading," and "Presenting at an international conference."

[0820] Step 9:

[0821] The server encrypts the selected future scenarios and sends them to the user's device.

[0822] Example: The server encrypts selected future scenarios and sends scenarios such as "Career in a scientific research lab," "Relieving stress through jogging," and "Presenting at an international conference" to the terminal.

[0823] Step 10:

[0824] The terminal displays the received future scenario to the user. The interface is designed to be intuitive and easy for users to understand.

[0825] Example: The device shows the user scenarios such as "Careers in a scientific laboratory," "The health benefits of jogging," "Presenting at an international conference," and "Scenarios for sustained excitement."

[0826] Step 11:

[0827] The user can review the presented future scenario and, if not satisfied, input feedback to provide further information and request that the scenario be generated again.

[0828] Example: The user provides feedback such as "This career plan seems interesting, but I'd like to know the specific steps," and the scenario is generated again.

[0829] Example 2

[0830] 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."

[0831] In modern society, there is a lack of systems that fully reflect individual characteristics and emotional states when considering future scenarios such as personal life plans and career paths. Furthermore, existing systems lack the ability to comprehensively analyze user information and propose realistic scenarios. This poses a challenge in providing users with personalized, specific, and emotionally relevant future scenarios.

[0832] The identification process by the identification processing unit 290 of the data processing device 12 in the second embodiment is realized by the following means. In this invention, the server includes means for verifying received information and generating a user profile, means for adjusting the user profile based on emotional data, means for generating future scenarios using an algorithm based on the user profile, and means for selecting the optimal one from multiple scenarios. This makes it possible to generate and select personalized future scenarios that reflect the individual characteristics and emotional state of the user.

[0833] "Means for inputting information" refers to a device or interface that allows a user to input information such as life goals, hobbies, interests, past experiences, and dreams using a terminal.

[0834] The "means for transmitting input information to a server" refers to the devices and protocols required to encrypt information input by a user to a terminal and transmit it to a server via a network.

[0835] "Means for recognizing a user's emotional state using a device's camera or microphone" refers to software and hardware that uses a device's camera or microphone to analyze the user's facial expressions and tone of voice to recognize emotions.

[0836] The "means for verifying the information received by the server and generating a user profile" refers to the means for the server to verify the information received from the user, filter out invalid or defective data, and then create a profile including the user's characteristics and attribute information.

[0837] The "means for adjusting a user profile based on emotion data" refers to a means for further refining and adjusting an existing user profile by utilizing emotion data obtained by the emotion recognition means.

[0838] "Means for generating future scenarios using algorithms based on user profiles" refers to means for generating future scenarios using algorithms from psychology, sociology, occupational databases, etc. based on user profiles and adjusted emotional data.

[0839] "Means for selecting the optimal scenario from multiple scenarios" refers to a means for selecting the most appropriate scenario from multiple generated future scenarios, taking into account realism and positive impacts.

[0840] The "means for returning and displaying the generated future scenario to the user" refers to the means for encrypting the generated and selected future scenario, sending it to the user's terminal, and displaying it in a format that the user can check.

[0841] This invention relates to a system that generates future scenarios based on user input information. This system consists of three main components: the user, the terminal, and the server.

[0842] Components

[0843] 1. User's device

[0844] Information input method: Users input information such as their life goals, hobbies, interests, past experiences, and dreams via a device (smartphone or PC).

[0845] Details: Provide information through web forms and input fields in apps.

[0846] Transmission means: The terminal encrypts the input information using the SSL / TLS protocol and transmits it to the server.

[0847] Details: Securely encrypt data using a cryptography library and send it using an HTTP POST request.

[0848] Emotion recognition means: The device is equipped with a camera and microphone, and includes an emotion engine that analyzes the user's facial expressions and tone of voice to recognize emotions.

[0849] Learn more: Analyze data in real time using image and audio analysis libraries to identify emotional states.

[0850] 2. Server

[0851] Validation measures: The server validates the received user information to ensure that all required data is provided, including filtering out invalid or defective data.

[0852] Details: Use a database management system to ingest and cleanse data.

[0853] User profile generation means: The server generates a user profile based on the verified data. This profile includes user attribute information.

[0854] Details: Store user attribute information in a database and structure it as a profile.

[0855] Emotion data adjustment means: Further adjusts the user profile based on the emotion data recognized by the emotion engine.

[0856] Elaboration: Integrate sentiment data into existing profile data to add more detail.

[0857] Scenario generation means: The server uses algorithms based on psychology, sociology, occupational databases, etc. to create future scenarios based on the user profile and adjusted emotional data.

[0858] Details: Using machine learning algorithms, future scenarios are generated using databases and emotional data as input.

[0859] Selection method: Select the most appropriate scenario from the multiple scenarios generated and choose the positive scenario that the user is likely to encounter.

[0860] Details: A ranking algorithm is used to select the best scenario from the generated scenarios.

[0861] Return method: The selected scenario is encrypted and returned to the user's device, again using the HTTPS protocol.

[0862] Details: Encrypt the data again using an encryption library and send it using an HTTP POST request.

[0863] 3. User's device (redisplay)

[0864] Display method: The received future scenario is displayed in a format that is easy for the user to understand. The interface is designed to be intuitive and easy for the user to understand.

[0865] Details: A graphical user interface (GUI) is used to display received data, providing information in a format that is easy for users to select and understand.

[0866] Specific examples

[0867] The user inputs "I want to be a scientist," "Reading," "Jogging," and "Experience as a leader in the high school chemistry club." The device encrypts this information and sends it to the server, which then uses the camera and microphone to analyze the user's emotional state, such as "Excited" or "Expecting." After verifying this information, the server generates a user profile and integrates the emotional data to adjust the profile. It uses an algorithm to generate future scenarios, such as "Build a career in a science lab," selects the most suitable scenario, and sends it back to the device. The device displays the received scenarios in an intuitive user interface.

[0868] Prompt Sentence Examples

[0869] Examples of prompts that users can use to predict the future using Future Story Lab include:

[0870] "I want to be a scientist. I enjoy reading and jogging. I was a leader in my high school chemistry club and I'm excited about it."

[0871] The flow of the identification process in the second embodiment will be described with reference to FIG.

[0872] Step 1:

[0873] Entering user information

[0874] Users use their device to access the Future Story Lab website or app.

[0875] Users enter information such as their life goals, hobbies, interests, past experiences, and dreams.

[0876] Input: Information such as your life goals, hobbies, interests, past experiences, dreams, etc.

[0877] Output: The information entered by the user is saved on the device.

[0878] What happens: A user enters information into a web form or app input field and presses the submit button.

[0879] Step 2:

[0880] Sending information

[0881] The terminal encrypts the information entered by the user using the SSL / TLS protocol.

[0882] The terminal transmits the encrypted information to the server.

[0883] Input: User input information in the device.

[0884] Output: Encrypted user information is sent to the server.

[0885] What it does: Encrypts data using the encryption library with the SSL / TLS protocol and sends an HTTP POST request.

[0886] Step 3:

[0887] Emotion recognition

[0888] The device uses a camera and microphone to capture the user's facial expressions and tone of voice.

[0889] The device activates an emotion engine to analyze this data and recognize emotions.

[0890] Input: Real-time data from camera and microphone.

[0891] Output: Recognized user emotion data.

[0892] What it does: Analyzes data in real time using image and audio analysis libraries to identify emotional states.

[0893] Step 4:

[0894] Data validation and profile generation

[0895] The server validates the received user information and filters out invalid or defective data.

[0896] The server generates a user profile based on the verified data, which includes user attribute information.

[0897] The server further adjusts the user profile based on the emotion data recognized by the emotion engine.

[0898] Input: User information and emotion data sent to the server.

[0899] Output: Validated data and adjusted user profiles.

[0900] Specific operations: Use a database management system to ingest data, clean the data, generate user profiles, and integrate sentiment data.

[0901] Step 5:

[0902] Generation and selection of future scenarios

[0903] The server generates future scenarios based on user profiles using algorithms from psychology, sociology, and occupational databases.

[0904] The server selects the most suitable scenario from the generated ones, taking into account the scenario's realism and positive impact.

[0905] Input: The adjusted user profile.

[0906] Output: Optimal future scenario.

[0907] Specific operation: Using a machine learning algorithm, future scenarios are generated using database and emotional data as input, and the optimal scenario is selected using a ranking algorithm.

[0908] Step 6:

[0909] Returning and displaying scenarios

[0910] The server encrypts the selected future scenarios and transmits them to the user terminal.

[0911] The terminal displays the received scenario so that the user can check the contents.

[0912] Input: Optimal future scenario from the server.

[0913] Output: Future scenarios displayed in a format that can be viewed by the user.

[0914] Specific operation: Encrypt the scenario, send an HTTP POST request, analyze the received data, and display it in the GUI.

[0915] (Application example 2)

[0916] 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."

[0917] In today's shopping experience, personalized product suggestions based on users' emotional state and interests are lacking, making it difficult for users to find the best products that fit their current feelings and needs. This can lead to low user satisfaction. Furthermore, especially in physical stores, the difficulty of receiving product suggestions that are in tune with users' emotions in real time leads to inconsistent quality of the shopping experience.

[0918] The specific processing by the specific processing unit 290 of the data processing device 12 in Application Example 2 is realized by the following means. In this invention, the server includes a means for inputting information, a means for transmitting the input information to the server, a means for verifying the information received by the server and generating a user profile, a means for generating a future scenario using an algorithm based on the user profile, a means for recognizing an emotional state using a smartphone or smart glasses and generating a personalized shopping scenario, and a means for returning and displaying the generated future scenario to the user. This allows product suggestions based on the user's emotional state and interests to be provided in real time, thereby improving purchasing satisfaction.

[0919] The "means for inputting information" refers to a device or method that allows a user to input information such as their interests, concerns, purchase history, and the like.

[0920] The "means for transmitting input information to the server" refers to a protocol or device for encrypting information input by the user and transmitting it to the server.

[0921] The "means for verifying information and generating a user profile" refers to a device or method that checks the information received by the server and creates a profile to analyze the user's attributes and tendencies.

[0922] A "means for generating future scenarios using an algorithm" is a device or method that uses an algorithm that utilizes scientific data from psychology, sociology, etc. to create future scenarios based on user profiles.

[0923] "Means for recognizing emotional states using a smartphone or smart glasses" refers to a device or method that uses the camera or microphone of a smart device to analyze emotions from a user's facial expressions and voice.

[0924] A "means for generating personalized shopping scenarios" is a device or method that creates individualized product suggestions based on a user's emotional state and interests.

[0925] The "means for returning and displaying the generated future scenario to the user" refers to a device or method in which the server encrypts the scenario generated, transmits it to the user's terminal, and presents it to the user visually or audibly.

[0926] The present invention is a personalized shopping scenario generation system that combines an emotion recognition engine. A specific embodiment of this system is described below.

[0927] System Components

[0928] 1. User's device

[0929] Information input means: Provides an interface for users to input their interests, concerns, past purchase history, etc. Users use this interface to input information from their smartphone or PC.

[0930] Transmission means: The information entered by the user is encrypted and sent to the server via the HTTPS protocol.

[0931] Emotion recognition: The device is equipped with a camera and microphone, and includes an emotion engine that analyzes the user's facial expressions and tone of voice to recognize emotions. Specifically, it uses APIs from Azure Cognitive Services and Google Cloud Vision.

[0932] 2. Server

[0933] Validation method: The server validates the received user information to ensure that all required data is provided. Invalid or defective data is filtered.

[0934] User profile generation method: The server generates a user profile based on the verified data and stores and manages the user's attribute information. MySQL or PostgreSQL is used as the database.

[0935] Emotion data adjustment means: Further adjusts the user profile based on the emotion data recognized by the emotion engine.

[0936] Scenario generation means: The server uses algorithms based on psychology, sociology, occupational databases, etc. to generate future scenarios based on the user profile and adjusted emotional data.

[0937] Selection method: Select the most appropriate scenario from the multiple scenarios generated and choose the positive scenario that the user is likely to encounter.

[0938] Return method: The selected scenario is encrypted and sent back to the user's device. Again, the HTTPS protocol is used.

[0939] 3. User's device (redisplay)

[0940] Display means: The system has an interface that displays the received personalized shopping scenario in a format that is easy for the user to understand. The interface is designed to be intuitive and easy for the user to understand.

[0941] Program processing overview

[0942] The server runs a program using Python. It processes the user information it receives, performs necessary verification, and generates a user profile. It then adjusts the profile based on emotion recognition data and uses an algorithm to generate a future scenario. Finally, it returns this scenario to the user and displays it on their device.

[0943] Specific examples

[0944] If a user inputs "fashion," "sports," or "reading" into the app and the current emotion of "excitement" is recognized, the server will generate scenarios such as "new fashion items," "sale information on sports goods," and "recently released books," and select the most appropriate one to provide to the user.

[0945] Example prompt sentence:

[0946] Want recommendations based on your current mood and interests? Something special happening right now? Choose from the following categories: Fashion, Sports, Reading.

[0947] The system uses Azure Cognitive Services' emotion recognition API and MySQL database, ensuring secure data communication using HTTPS protocol. This allows users to enjoy a real-time, personalized shopping experience that is sensitive to their emotions.

[0948] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[0949] Step 1:

[0950] A user accesses the shopping assistant app on their device and enters information such as their interests and past purchase history, including categories such as "fashion," "sports," and "reading." The app then formats the information.

[0951] (Input): User's selected interest categories and past purchase history.

[0952] (Data processing): Convert information into JSON format.

[0953] (Output): User information in JSON format.

[0954] Step 2:

[0955] The information entered on the device is encrypted using the SSL / TLS protocol and sent to the server. This transmission uses the HTTPS protocol to ensure security.

[0956] (Input): User information in JSON format.

[0957] (Data calculation): Information is encrypted using SSL / TLS.

[0958] (Output): Encrypted user information.

[0959] Step 3:

[0960] The device's camera and microphone are used to analyze the user's facial expressions and tone of voice to recognize their current emotional state. Emotion recognition is performed using the Azure Cognitive Services API. The analysis results are collected as emotional data.

[0961] (Input): User's facial expression, tone of voice.

[0962] (Data Computation): Analysis of emotional states.

[0963] (Output): Recognized emotion data (e.g. excited).

[0964] Step 4:

[0965] The server validates the information received to ensure all required data is present. Invalid or defective data is filtered out.

[0966] (Input): Encrypted user information.

[0967] (Data processing): Data validation and filtering.

[0968] (Output): The verified user data.

[0969] Step 5:

[0970] The server generates a user profile based on the verified user data and stores and manages the user's attribute information. MySQL is used as the database.

[0971] (Input): Validated user data.

[0972] (Data processing): Creation of user profiles.

[0973] (Output): The user profile stored in the database.

[0974] Step 6:

[0975] The server adjusts the user profile based on the emotion recognition data, which includes modifying the profile weights and parameters based on the emotion data.

[0976] (Input): User profile, recognized emotion data.

[0977] (Data calculation): Profile adjustment.

[0978] (Output): The adjusted user profile.

[0979] Step 7:

[0980] The server uses algorithms based on psychology, sociology, and occupational databases to generate future scenarios based on user profiles and adjusted emotional data. This is done using a generative AI model.

[0981] (Input): The adjusted user profile.

[0982] (Data calculation): Execution of future scenario generation algorithm.

[0983] (Output): Generated future scenario.

[0984] Step 8:

[0985] The server selects the most appropriate future scenario from the generated ones, taking into account the scenario's realism and positive impact.

[0986] (Input): Generated future scenario.

[0987] (Data calculation): Evaluation and selection of scenarios.

[0988] (Output): A suitable future scenario.

[0989] Step 9:

[0990] The server encrypts the selected future scenario and sends it to the user's device. This communication is also secured using the HTTPS protocol.

[0991] (Input): A suitable future scenario.

[0992] (Data calculation): Encryption of scenario.

[0993] (Output): Encrypted future scenario.

[0994] Step 10:

[0995] The terminal interprets the received future scenario and displays it to the user in an easy-to-understand format. The display interface is designed to be intuitive and easy to understand.

[0996] (Input): Encrypted future scenario.

[0997] (Data Calculation): Deciphering the scenario.

[0998] (Output): The future scenario displayed to the user.

[0999] 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.

[1000] 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.

[1001] 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.

[1002] [Third embodiment]

[1003] FIG. 5 shows an example of the configuration of a data processing system 310 according to the third embodiment.

[1004] 5, the data processing system 310 includes the data processing device 12 and a headset terminal 314. An example of the data processing device 12 is a server.

[1005] 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).

[1006] 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.

[1007] 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.

[1008] 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).

[1009] 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. 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.

[1010] 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.

[1011] 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.

[1012] 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.

[1013] 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.

[1014] 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."

[1015] Our invention, Future Story Lab, is a system that generates personalized future scenarios based on user information. This system consists of three main components: the user, the device, and the server.

[1016] System Components

[1017] 1. User's device

[1018] Information input method: Users input information such as their life goals, hobbies, interests, past experiences, and dreams via a device (smartphone or PC).

[1019] Transmission method: The terminal encrypts the entered information and sends it to the server via the HTTPS protocol.

[1020] 2. Server

[1021] Validation measures: The server validates the received user information to ensure that all required data is provided, including filtering out invalid or missing data.

[1022] User profile generation method: The server generates a user profile based on the verified data. This profile contains user attribute information.

[1023] Scenario generation means: The server uses algorithms based on psychology, sociology, occupational databases, etc. to create future scenarios based on the user profile.

[1024] Selection method: Select the most appropriate scenario from the multiple scenarios generated and choose the positive scenario that the user is likely to encounter.

[1025] Return method: The selected scenario is encrypted and returned to the user's device, again using the HTTPS protocol.

[1026] 3. User's device (redisplay)

[1027] Display method: The received future scenario is displayed in a format that is easy for the user to understand. The interface is designed to be intuitive and easy for the user to understand.

[1028] Program processing flow

[1029] Below is the processing flow performed by Future Story Lab's system program.

[1030] 1. Enter your user information

[1031] Users use their device to access the Future Story Lab website or app and enter information such as their life goals, hobbies, interests, past experiences, and dreams.

[1032] Example: A user enters "I want to be a scientist," "I read," "I jog," and "I was a leader in the high school chemistry club."

[1033] 2. Transmission of information

[1034] The terminal encrypts the entered information and sends it to the server.

[1035] Example: Encrypted information is securely sent from the device to the server.

[1036] 3. Data Verification and Analysis

[1037] The server validates the information received and ensures that all required data is present.

[1038] A user profile is generated based on the verified data.

[1039] Example: The server validates the information entered and generates a profile that includes "goal of becoming a scientist," "hobbies include reading and jogging," and "experience as a leader in the chemistry club."

[1040] 4. Generation and selection of future scenarios

[1041] The server generates multiple future scenarios based on the user profile using algorithms from psychology, sociology, and occupational databases.

[1042] The most appropriate scenario is selected from the generated scenarios.

[1043] Example: The server generates future scenarios such as "a career in a scientific research lab," "presenting at an international conference," and "reducing stress through jogging," and then selects the most realistic and appropriate scenario from among them.

[1044] 5. Returning and displaying the scenario

[1045] The server encrypts the selected scenario and sends it to the user's terminal.

[1046] The user terminal displays the received scenario, and the user checks the contents.

[1047] Example: The device receives an encrypted scenario and displays content such as "Career in a chemistry laboratory," "Presenting at an international conference," and "Relieving stress by jogging" to the user.

[1048] Specific examples of embodiments

[1049] Users of Future Story Lab can simulate detailed future prospects by specifically inputting their dreams and goals. For example, if a user inputs "I want to be a scientist," they will be presented with scenarios in which they experience working in a scientific laboratory, presenting at an international conference, or even jogging regularly, which helps reduce stress. These personalized future scenarios allow users to specifically consider future options and help them plan actions for self-improvement and goal achievement.

[1050] The processing flow will be explained below.

[1051] Step 1:

[1052] Users access the Future Story Lab website or app using their device, and through the interface, they input information about their life goals, hobbies, interests, past experiences, dreams, and more.

[1053] Example: A user enters "I want to be a scientist," "I read," "I jog," and "I was a leader in the high school chemistry club."

[1054] Step 2:

[1055] The terminal encrypts the input information using the SSL / TLS protocol and sends this information to the server.

[1056] Example: A device encrypts information such as "I want to be a scientist," "I read," "I jog," and "I have experience as a leader in the high school chemistry club" and sends it to a server.

[1057] Step 3:

[1058] The server validates the information it receives. If the information is missing or contains invalid data, the server returns an error message to the terminal, prompting it to re-enter the correct data.

[1059] Example: The server verifies the information and finds that the hobby "reading" is not specific enough, so it sends a message to the device saying "Please enter more specific reading details."

[1060] Step 4:

[1061] The server analyzes the verified information and generates a user profile, which includes the user's inputted attributes such as life goals, hobbies, interests, past experiences, and dreams.

[1062] Example: A server generates a user profile based on the following: "I want to be a scientist," "I read," "I jog," and "I was a leader in the high school chemistry club."

[1063] Step 5:

[1064] The server generates multiple future scenarios based on the user profile using an algorithm that references scientific data such as psychology, sociology, and occupational databases.

[1065] Example: The server generates future scenarios for "building a career as a scientist," "how reading affects knowledge development," and "improving physical fitness through jogging."

[1066] Step 6:

[1067] The server filters the generated future scenarios and selects the most suitable ones, taking into account the scenario's realism and positive impact.

[1068] Example: From the scenarios generated by the server, the following three scenarios are determined to be the most suitable: "Career in a chemistry laboratory," "Presenting at an international conference," and "Relieving stress through jogging."

[1069] Step 7:

[1070] The server re-encrypts the selected future scenario using the SSL / TLS protocol and sends it back to the user's device.

[1071] Example: The server encrypts selected future scenarios and sends the scenarios "Career in a scientific research lab," "Presenting at an international conference," and "Relieving stress by jogging" to the terminal.

[1072] Step 8:

[1073] The terminal displays the received future scenario to the user. The interface is designed to be intuitive and easy for users to understand.

[1074] Example: The device shows the user future scenarios such as "Career planning in a chemical research lab," "Health benefits of jogging," and "Presenting at an international conference."

[1075] Step 9:

[1076] The user can review the presented future scenario and, if not satisfied, input feedback to provide further information and request that the scenario be generated again.

[1077] Example: The user provides feedback such as "This career plan seems interesting, but I'd like to know the specific steps," and the scenario is generated again.

[1078] Example 1

[1079] 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."

[1080] In modern society, it is important for individuals to have specific scenarios for their own future. However, currently available systems are not sufficient in generating and optimizing personalized future scenarios based on user information. In particular, validation of input data, generation of user profiles, and appropriate generation and selection of future scenarios using scientific data are issues.

[1081] 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.

[1082] In this invention, the server includes means for providing an interface for a user to input information, means for encrypting the input information and sending it to the server, means for verifying the information received by the server and generating a user profile, means for generating future scenarios using a generative AI model based on the user profile, means for selecting the optimal one from the generated future scenarios, and means for encrypting the selected future scenario and returning it to the user's terminal for display. This enables the generation and optimization of personalized future scenarios based on user information.

[1083] "Means for providing an interface for users to input information" refers to a function that provides a website or application screen, etc., so that users can input their own information.

[1084] "Means for encrypting input information and sending it to a server" refers to means for using an encryption protocol to securely protect data entered by a user and sending that data to a server via the Internet.

[1085] "Means for verifying the information received by the server and generating a user profile" refers to the function by which the server checks the data sent by the user, verifies that all necessary information is included, and creates a detailed profile of the user based on that information.

[1086] "Means for generating future scenarios using a generative AI model based on a user profile" refers to a function that uses data obtained from the user profile to create future scenarios for the user using a generated AI algorithm.

[1087] The "means for selecting the most appropriate future scenario from among multiple generated scenarios" is an algorithm for selecting the most appropriate and realistic scenario for the user from among the many generated scenarios.

[1088] "Means for encrypting the selected future scenario, returning it to the user's terminal, and displaying it" refers to a function that re-encrypts the selected scenario, sends it to the user's terminal via the Internet, and displays the information in a form that the user can refer to.

[1089] The system of the present invention generates personalized future scenarios based on user information. This system basically consists of three main components: the user, the terminal, and the server.

[1090] System Components

[1091] 1. User's device

[1092] Information input method: Users input information such as life goals, hobbies, interests, past experiences, dreams, etc. using a smartphone or PC. This input interface is intuitive and designed to be easy for users to use.

[1093] Transmission method: The terminal encrypts the information entered by the user using the AES-256bit algorithm and transmits it to the server via the HTTPS protocol.

[1094] 2. Server

[1095] Validation method: The server validates the information it receives, specifically ensuring that all required data is present and filtering out incomplete or invalid data.

[1096] User profile generation means: A user profile is generated based on the verified data. This profile contains detailed information about the user's attributes.

[1097] Scenario generation means: The server generates future scenarios based on user profiles using generative AI models based on scientific data such as psychology, sociology, and occupational databases.

[1098] Selection method: Select the most appropriate scenario from the multiple scenarios generated. The algorithm prioritizes the most positive and realistic scenario for the user.

[1099] Return method: The selected scenario is re-encrypted and sent to the user's device via the HTTPS protocol.

[1100] 3. User's device (redisplay)

[1101] Display method: The received future scenario is displayed in a format that is easy for the user to understand. The interface is designed to be intuitive and easy for the user to understand.

[1102] Specific program operations and processing

[1103] 1. Enter and submit user information

[1104] The user enters information into the terminal, which is then encrypted and sent to the server.

[1105] Examples:

[1106] Life goal: I want to be a scientist

[1107] Hobbies: Reading, jogging

[1108] Past experience: Leader of the chemistry club in high school

[1109] Dream: I want to become a university professor

[1110] 2. Data validation and user profile generation

[1111] The server validates the received information, filters out any missing data, and then generates a user profile, which is saved in JSON format.

[1112] 3. Generation and selection of future scenarios

[1113] The server uses a generative AI model to generate future scenarios based on the user profile. Multiple scenarios are generated, and the most appropriate one is selected.

[1114] Examples:

[1115] Scientific laboratory careers

[1116] Presentation at an international conference

[1117] Jogging reduces stress

[1118] 4. Return and display of scenario

[1119] The server encrypts the selected scenario and sends it to the user's device using the HTTPS protocol. The user's device decrypts the received scenario and displays it in an easy-to-understand format.

[1120] Examples:

[1121] The device receives the encrypted scenario and, after decrypting it, displays the following scenarios to the user: "Career in a chemical laboratory," "Presenting at an international conference," and "Relieving stress through jogging."

[1122] This allows the present invention to generate, optimize, and safely display personalized future scenarios based on user-entered information, and by using generative AI models, it is possible to provide realistic and positive scenarios based on scientific data.

[1123] The flow of the identification process in the first embodiment will be described with reference to FIG.

[1124] Program processing flow

[1125] Step 1: Enter your user information

[1126] A user accesses the future scenario generation system via a terminal. Using the interface, the user inputs information such as their life goals, hobbies, interests, past experiences, and dreams. This is done using form components such as text boxes and check boxes.

[1127] Specific behavior:

[1128] The user enters the following information:

[1129] Life goal: I want to be a scientist

[1130] Hobbies: Reading, jogging

[1131] Past experience: Leader of the chemistry club in high school

[1132] Dream: I want to become a university professor

[1133] Step 2: Submit your information

[1134] The device receives the entered information, encrypts it using the AES-256 bit algorithm, and then sends the encrypted information to the server using the HTTPS protocol.

[1135] Input: Information entered by the user

[1136] Output: Encrypted data is sent to the server

[1137] Specific behavior:

[1138] The device encrypts data such as "I want to be a scientist," "Reading," "Jogging," and "Experience as a leader in the high school chemistry club" and sends it to the server.

[1139] Step 3: Validate the data

[1140] The server decrypts the received information and verifies that all necessary data is present. During the verification process, incomplete or invalid data is filtered out.

[1141] Input: Encrypted user information

[1142] Output: Validated data

[1143] Specific behavior:

[1144] The server decrypts the received data and checks the following:

[1145] Is "My goal to become a scientist" correct in text format?

[1146] Is "My hobbies are reading and jogging" valid information?

[1147] Is the "Chemistry Club Leader Experience" entered correctly?

[1148] Step 4: Create a user profile

[1149] The server generates a user profile based on the verified data, detailing the user's goals, hobbies, past experiences, etc. The profile is stored in JSON format.

[1150] Input: Validated data

[1151] Output: User profile

[1152] Specific behavior:

[1153] The server generates a user profile based on "goal to become a scientist," "hobbies are reading and jogging," and "experience as a leader in the chemistry club," and saves it in JSON format.

[1154] Step 5: Generate future scenarios

[1155] The server uses a generative AI model to generate future scenarios based on the user profile. The algorithm utilizes data from psychology, sociology, and occupational databases.

[1156] Input: User Profile

[1157] Output: Multiple future scenarios

[1158] Specific behavior:

[1159] The server generates the following scenario:

[1160] Scientific laboratory careers

[1161] Presentation at an international conference

[1162] Jogging reduces stress

[1163] Step 6: Screening scenarios

[1164] The server selects the most appropriate scenario from the generated scenarios. The selection algorithm prioritizes realistic and positive scenarios.

[1165] Input: Multiple future scenarios

[1166] Output: Optimal future scenario

[1167] Specific behavior:

[1168] The server evaluates the generated scenarios and determines that "Career in a Science Laboratory" is the most realistic and positive scenario.

[1169] Step 7: Return and view the scenario

[1170] The server re-encrypts the selected future scenarios and sends them to the user's device via HTTPS. The device then decrypts the received scenarios and displays them in a user-friendly format.

[1171] Input: Selected future scenarios

[1172] Output: The decrypted scenario is displayed on the terminal.

[1173] Specific behavior:

[1174] The terminal receives the encrypted scenario and, after decryption, displays the following scenario to the user:

[1175] Chemical Laboratory Career

[1176] Presentation at an international conference

[1177] Jogging to relieve stress

[1178] (Application example 1)

[1179] 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."

[1180] Conventional personalization systems only consider specific goals, hobbies, and interests when generating a user's future scenario. This makes it difficult to provide the specific shopping experience or future lifestyle scenario that the user desires. Another issue is the lack of a means to propose future scenarios that are adapted to the user's needs.

[1181] 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.

[1182] In this invention, the server includes means for verifying information and generating a user profile, means for generating a future scenario using an algorithm, means for returning and displaying the generated future scenario to the user, and means for personalizing the shopping experience and providing the future scenario based on the user's input goals, hobbies, interests, etc. This allows the user to receive a future scenario based on their specific desires and interests.

[1183] An "information input device" is a combination of hardware and software that allows a user to input data such as goals, hobbies, and interests.

[1184] A "device that transmits input information to a server" is a system that encrypts data entered by a user and transmits it to a server using the HTTPS protocol or the like.

[1185] The "device for verifying information received by a server and generating a user profile" refers to a system that verifies the user data received by a server, filters out invalid data, and then generates a profile summarizing the user's characteristics.

[1186] A "device that generates future scenarios using an algorithm based on a user profile" is a system that creates future scenarios using an algorithm that uses psychology, sociology, occupational databases, etc. based on the generated user profile.

[1187] The "device that returns and displays the generated future scenario to the user" is a system that encrypts the future scenario generated on the server, sends it back to the user's terminal via the HTTPS protocol, etc., and displays it in a format that is easy for the user to understand.

[1188] "A device that personalizes the shopping experience and provides future scenarios based on the user's input goals, hobbies, interests, etc." is a system that takes into account the user's goals, hobbies, and interests and suggests optimal shopping experiences and future lifestyle scenarios tailored to their needs.

[1189] This invention is comprised of multiple devices and a system that generates personalized future scenarios based on user input information. The system is primarily comprised of a terminal for inputting and sending information, a server for verifying and processing the data, and a terminal for displaying the results.

[1190] Overall system configuration and technologies used

[1191] 1. User Device:

[1192] Information input device: A device equipped with an interface that allows users to input their goals, hobbies, interests, past experiences, dreams, etc. This input device uses a general terminal such as a smartphone or PC.

[1193] Transmitter: Has the function of encrypting input information and sending it to the server using a secure communication protocol (HTTPS).

[1194] 2. Server:

[1195] Data Validator: The server validates the received information, filters invalid or defective data, and generates user profiles. Here, data processing is done using Node.js (Express framework).

[1196] Future scenario generator: Based on the generated user profile, the server utilizes data from psychology, sociology, and occupational databases to generate future scenarios using an algorithm. The AI ​​model used here is a custom model based on GPT-4.

[1197] Information return device: The selected scenario is encrypted and returned to the user terminal using the HTTPS protocol.

[1198] 3. User terminal again:

[1199] Display device: The received future scenario is displayed in a user-friendly format. The display format here is a simple and intuitive interface, designed to be easily understood by the user.

[1200] Process Details

[1201] Input of user information: The user accesses the future scenario generation app and inputs specific data such as goals, hobbies, interests, past experiences, dreams, etc. For example, "I want to be a scientist," "I read," "I jog," and "I served as a leader in the chemistry club in high school."

[1202] Transmission of information: The information you enter is encrypted and sent to the server via the HTTPS protocol, which ensures secure transmission of information.

[1203] Data validation and analysis: The server validates the received data and checks for any defects before generating a user profile. For example, the server might create a profile with a goal of becoming a scientist, hobbies of reading and jogging, and experience as a leader in the chemistry club.

[1204] Future scenario generation: The server uses AI to generate various future scenarios based on the user profile. For example, the server generates future scenarios such as "a career in a scientific research lab," "presenting at an international conference," and "reducing stress by jogging," and then selects the most appropriate one.

[1205] Return and display of scenario: The generated future scenario is encrypted and sent to the user's device again via HTTPS. The received scenario is decrypted on the user's device and displayed in an intuitive interface. For example, scenarios such as "Career in a scientific laboratory," "Presenting at an international conference," and "Relieving stress by jogging" are presented to the user.

[1206] Prompt Sentence Examples

[1207] Here are some example prompts to use in scenario generation:

[1208] User's goal: I want to be a scientist, Hobbies: Reading and jogging, Interests: Environmental issues, Past experience: Leader of the chemistry club in high school, Dream: I want to participate in nature conservation activities. Generate the best future scenario for this user.

[1209] By implementing this invention, users can obtain specific future scenarios that are personalized based on their interests and goals, which allows them to understand future options more concretely and makes it easier for them to make plans for self-improvement and goal achievement.

[1210] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[1211] Step 1:

[1212] Users input information such as their goals, hobbies, interests, past experiences, and dreams using an input device (smartphone or PC).

[1213] Input: User information such as goals, hobbies, interests, past experiences, dreams, etc.

[1214] Output: User information stored on the user's device

[1215] Step 2:

[1216] The user terminal encrypts the entered information and sends it to the server using the HTTPS protocol.

[1217] Input: User information stored on the user's device

[1218] Output: Encrypted user information is sent to the server

[1219] Step 3:

[1220] The server decrypts the received encrypted information and verifies it using a data verification device, at which point invalid or defective data is filtered out.

[1221] Input: Encrypted user information

[1222] Output: Verified user information

[1223] Step 4:

[1224] The server generates a user profile based on the verified data.

[1225] Input: Verified user information

[1226] Output: User profile

[1227] Step 5:

[1228] The server uses the user profile to generate future scenarios using an AI model (a custom model based on GPT-4), which is based on data from psychology, sociology, and occupational databases.

[1229] Input: User profile

[1230] Output: Generated future scenario

[1231] Step 6:

[1232] The server evaluates the generated scenarios and selects the most suitable one.

[1233] Input: A set of generated future scenarios

[1234] Output: Selected future scenarios

[1235] Step 7:

[1236] The server re-encrypts the selected future scenarios and sends them to the user terminal using the HTTPS protocol.

[1237] Input: Selected future scenarios

[1238] Output: The encrypted selection scenario is sent to the user terminal.

[1239] Step 8:

[1240] The user terminal decrypts the received encrypted scenario and displays it to the user through an intuitive interface.

[1241] Input: Encrypted screening scenario

[1242] Output: The deciphered future scenario is displayed to the user.

[1243] 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.

[1244] The future scenario generation system of this invention, which combines an emotion engine, generates more personalized future scenarios based on the user's input information and their emotional state. This system consists of three main components: the user, the terminal, and the server.

[1245] System Components

[1246] 1. User's device

[1247] Information input method: Users input information such as their life goals, hobbies, interests, past experiences, and dreams via a device (smartphone or PC).

[1248] Transmission method: The terminal encrypts the entered information and sends it to the server via the HTTPS protocol.

[1249] Emotion recognition means: The device is equipped with a camera and microphone, and includes an emotion engine that analyzes the user's facial expressions and tone of voice to recognize emotions.

[1250] 2. Server

[1251] Validation measures: The server validates the received user information to ensure that all required data is provided, including filtering out invalid or missing data.

[1252] User profile generation method: The server generates a user profile based on the verified data. This profile contains user attribute information.

[1253] Emotion data adjustment means: Further adjusts the user profile based on the emotion data recognized by the emotion engine.

[1254] Scenario generation means: The server uses algorithms based on psychology, sociology, occupational databases, etc. to create future scenarios based on the user profile and adjusted emotional data.

[1255] Selection method: Select the most appropriate scenario from the multiple scenarios generated and choose the positive scenario that the user is likely to encounter.

[1256] Return method: The selected scenario is encrypted and returned to the user's device, again using the HTTPS protocol.

[1257] 3. User's device (redisplay)

[1258] Display method: The received future scenario is displayed in a format that is easy for the user to understand. The interface is designed to be intuitive and easy for the user to understand.

[1259] Program processing flow

[1260] Below is the processing flow of Future Story Lab's system, which combines an emotion engine.

[1261] 1. Enter your user information

[1262] Users use their device to access the Future Story Lab website or app and enter information such as their life goals, hobbies, interests, past experiences, and dreams.

[1263] Example: A user enters "I want to be a scientist," "I read," "I jog," and "I was a leader in the high school chemistry club."

[1264] 2. Transmission of information

[1265] The terminal encrypts the input information using the SSL / TLS protocol and sends this information to the server.

[1266] Example: A device encrypts information such as "I want to be a scientist," "I read," "I jog," and "I was a leader in the high school chemistry club" and sends it to a server.

[1267] 3. Emotional Recognition

[1268] Using the device's camera and microphone, the system analyzes the user's facial expressions and tone of voice to recognize their current emotional state.

[1269] Example: The device analyzes the user's facial expressions and detects emotional states such as "excited" or "expectant."

[1270] 4. Data Verification and Analysis

[1271] The server validates the information received and ensures that all required data is present.

[1272] A user profile is generated based on the verified data.

[1273] The user profile is adjusted based on the emotional data recognized by the emotion engine.

[1274] Example: The server verifies the information and generates and adjusts a user profile based on the following information: "I want to be a scientist," "I read," "I jog," "I was a leader in my high school chemistry club," and "I'm excited right now."

[1275] 5. Generation and selection of future scenarios

[1276] The server generates future scenarios based on user profiles using algorithms from psychology, sociology, and occupational databases.

[1277] The most suitable scenarios are selected from the generated scenarios, taking into account their realism and positive impact.

[1278] Example: A server generates future scenarios such as "building a career in a science laboratory," "how reading affects knowledge development," "improving physical fitness through jogging," and "a scenario in which the current state of excitement is sustained," and selects the most suitable one.

[1279] 6. Returning and displaying the scenario

[1280] The server encrypts the selected future scenarios and sends them to the user's terminal.

[1281] The user terminal displays the received scenario, and the user checks the contents.

[1282] Example: The device receives an encrypted scenario and displays to the user "Career plans in a scientific research lab," "Health benefits of jogging," "Presentation at an international conference," and "Scenarios for when excitement continues."

[1283] Specific examples of embodiments

[1284] Users of Future Story Lab can input their dreams and goals in detail, and the emotion engine can recognize their current emotional state to present more detailed and personalized future scenarios. For example, if a user inputs "I want to be a scientist" and the emotion engine recognizes that they are "excited," the system will present a scenario themed around the joy and excitement of building a career in a scientific research lab. In this way, by incorporating the user's emotions, the system can provide more realistic and relatable future scenarios.

[1285] The processing flow will be explained below.

[1286] Step 1:

[1287] Users use their device to access the Future Story Lab website or app and enter information such as their life goals, hobbies, interests, past experiences, and dreams.

[1288] Example: A user enters "I want to be a scientist," "I read," "I jog," and "I was a leader in the high school chemistry club."

[1289] Step 2:

[1290] The terminal encrypts the input information using the SSL / TLS protocol and sends this information to the server.

[1291] Example: A device encrypts information such as "I want to be a scientist," "I read," "I jog," and "I was a leader in the high school chemistry club" and sends it to a server.

[1292] Step 3:

[1293] Using the device's camera and microphone, the system analyzes the user's facial expressions and tone of voice in real time to recognize their current emotional state.

[1294] Example: The device analyzes the user's facial expressions and detects emotional states such as "excited" or "expectant."

[1295] Step 4:

[1296] The device sends the emotion data it recognizes to the server, which is also encrypted using the SSL / TLS protocol.

[1297] Example: A device encrypts emotional data such as "excited" and sends it to a server.

[1298] Step 5:

[1299] The server verifies the received user information and emotion data and checks whether all necessary data is present. If any data is missing, it returns an error message to the terminal and asks the user to re-enter the data.

[1300] Example: A server verifies the following information: "I want to be a scientist," "I read," "I jog," "I was a leader in my high school chemistry club," and "I'm excited."

[1301] Step 6:

[1302] The server analyzes the verified information and generates a user profile, which includes the user's attribute information and emotional data.

[1303] Example: A server generates a user profile based on the following: "I want to be a scientist," "I read," "I jog," "I was a leader in the high school chemistry club," and "I'm excited right now."

[1304] Step 7:

[1305] The server generates multiple future scenarios based on the user profile using algorithms that reference psychology, sociology, and occupational databases.

[1306] Example: The server generates future scenarios for "Careers in a Science Laboratory," "The Impact of Reading on Knowledge," "The Health Benefits of Jogging," and "Scenarios in an Excited State."

[1307] Step 8:

[1308] The server selects the most suitable future scenario from the generated ones, taking into account the scenario's realism and positive impact.

[1309] Example: The server determines that the following scenarios are suitable: "Career in a scientific laboratory," "Relieving stress through jogging," "The mental calm that comes from reading," and "Presenting at an international conference."

[1310] Step 9:

[1311] The server encrypts the selected future scenarios and sends them to the user's device.

[1312] Example: The server encrypts selected future scenarios and sends scenarios such as "Career in a scientific research lab," "Relieving stress through jogging," and "Presenting at an international conference" to the terminal.

[1313] Step 10:

[1314] The terminal displays the received future scenario to the user. The interface is designed to be intuitive and easy for users to understand.

[1315] Example: The device shows the user scenarios such as "Careers in a scientific laboratory," "The health benefits of jogging," "Presenting at an international conference," and "Scenarios for sustained excitement."

[1316] Step 11:

[1317] The user can review the presented future scenario and, if not satisfied, input feedback to provide further information and request that the scenario be generated again.

[1318] Example: The user provides feedback such as "This career plan seems interesting, but I'd like to know the specific steps," and the scenario is generated again.

[1319] Example 2

[1320] 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."

[1321] In modern society, there is a lack of systems that fully reflect individual characteristics and emotional states when considering future scenarios such as personal life plans and career paths. Furthermore, existing systems lack the ability to comprehensively analyze user information and propose realistic scenarios. This poses a challenge in providing users with personalized, specific, and emotionally relevant future scenarios.

[1322] The identification process by the identification processing unit 290 of the data processing device 12 in the second embodiment is realized by the following means. In this invention, the server includes means for verifying received information and generating a user profile, means for adjusting the user profile based on emotional data, means for generating future scenarios using an algorithm based on the user profile, and means for selecting the optimal one from multiple scenarios. This makes it possible to generate and select personalized future scenarios that reflect the individual characteristics and emotional state of the user.

[1323] "Means for inputting information" refers to a device or interface that allows a user to input information such as life goals, hobbies, interests, past experiences, and dreams using a terminal.

[1324] The "means for transmitting input information to a server" refers to the devices and protocols required to encrypt information input by a user to a terminal and transmit it to a server via a network.

[1325] "Means for recognizing a user's emotional state using a device's camera or microphone" refers to software and hardware that uses a device's camera or microphone to analyze the user's facial expressions and tone of voice to recognize emotions.

[1326] The "means for verifying the information received by the server and generating a user profile" refers to the means for the server to verify the information received from the user, filter out invalid or defective data, and then create a profile including the user's characteristics and attribute information.

[1327] The "means for adjusting a user profile based on emotion data" refers to a means for further refining and adjusting an existing user profile by utilizing emotion data obtained by the emotion recognition means.

[1328] "Means for generating future scenarios using algorithms based on user profiles" refers to means for generating future scenarios using algorithms from psychology, sociology, occupational databases, etc. based on user profiles and adjusted emotional data.

[1329] "Means for selecting the optimal scenario from multiple scenarios" refers to a means for selecting the most appropriate scenario from multiple generated future scenarios, taking into account realism and positive impacts.

[1330] The "means for returning and displaying the generated future scenario to the user" refers to the means for encrypting the generated and selected future scenario, sending it to the user's terminal, and displaying it in a format that the user can check.

[1331] This invention relates to a system that generates future scenarios based on user input information. This system consists of three main components: the user, the terminal, and the server.

[1332] Components

[1333] 1. User's device

[1334] Information input method: Users input information such as their life goals, hobbies, interests, past experiences, and dreams via a device (smartphone or PC).

[1335] Details: Provide information through web forms and input fields in apps.

[1336] Transmission means: The terminal encrypts the input information using the SSL / TLS protocol and transmits it to the server.

[1337] Details: Securely encrypt data using a cryptography library and send it using an HTTP POST request.

[1338] Emotion recognition means: The device is equipped with a camera and microphone, and includes an emotion engine that analyzes the user's facial expressions and tone of voice to recognize emotions.

[1339] Learn more: Analyze data in real time using image and audio analysis libraries to identify emotional states.

[1340] 2. Server

[1341] Validation measures: The server validates the received user information to ensure that all required data is provided, including filtering out invalid or defective data.

[1342] Details: Use a database management system to ingest and cleanse data.

[1343] User profile generation means: The server generates a user profile based on the verified data. This profile includes user attribute information.

[1344] Details: Store user attribute information in a database and structure it as a profile.

[1345] Emotion data adjustment means: Further adjusts the user profile based on the emotion data recognized by the emotion engine.

[1346] Elaboration: Integrate sentiment data into existing profile data to add more detail.

[1347] Scenario generation means: The server uses algorithms based on psychology, sociology, occupational databases, etc. to create future scenarios based on the user profile and adjusted emotional data.

[1348] Details: Using machine learning algorithms, future scenarios are generated using databases and emotional data as input.

[1349] Selection method: Select the most appropriate scenario from the multiple scenarios generated and choose the positive scenario that the user is likely to encounter.

[1350] Details: A ranking algorithm is used to select the best scenario from the generated scenarios.

[1351] Return method: The selected scenario is encrypted and returned to the user's device, again using the HTTPS protocol.

[1352] Details: Encrypt the data again using an encryption library and send it using an HTTP POST request.

[1353] 3. User's device (redisplay)

[1354] Display method: The received future scenario is displayed in a format that is easy for the user to understand. The interface is designed to be intuitive and easy for the user to understand.

[1355] Details: A graphical user interface (GUI) is used to display received data, providing information in a format that is easy for users to select and understand.

[1356] Specific examples

[1357] The user inputs "I want to be a scientist," "Reading," "Jogging," and "Experience as a leader in the high school chemistry club." The device encrypts this information and sends it to the server, which then uses the camera and microphone to analyze the user's emotional state, such as "Excited" or "Expecting." After verifying this information, the server generates a user profile and integrates the emotional data to adjust the profile. It uses an algorithm to generate future scenarios, such as "Build a career in a science lab," selects the most suitable scenario, and sends it back to the device. The device displays the received scenarios in an intuitive user interface.

[1358] Prompt Sentence Examples

[1359] Examples of prompts that users can use to predict the future using Future Story Lab include:

[1360] "I want to be a scientist. I enjoy reading and jogging. I was a leader in my high school chemistry club and I'm excited about it."

[1361] The flow of the identification process in the second embodiment will be described with reference to FIG.

[1362] Step 1:

[1363] Entering user information

[1364] Users use their device to access the Future Story Lab website or app.

[1365] Users enter information such as their life goals, hobbies, interests, past experiences, and dreams.

[1366] Input: Information such as your life goals, hobbies, interests, past experiences, dreams, etc.

[1367] Output: The information entered by the user is saved on the device.

[1368] What happens: A user enters information into a web form or app input field and presses the submit button.

[1369] Step 2:

[1370] Sending information

[1371] The terminal encrypts the information entered by the user using the SSL / TLS protocol.

[1372] The terminal transmits the encrypted information to the server.

[1373] Input: User input information in the device.

[1374] Output: Encrypted user information is sent to the server.

[1375] What it does: Encrypts data using the encryption library with the SSL / TLS protocol and sends an HTTP POST request.

[1376] Step 3:

[1377] Emotion recognition

[1378] The device uses a camera and microphone to capture the user's facial expressions and tone of voice.

[1379] The device activates an emotion engine to analyze this data and recognize emotions.

[1380] Input: Real-time data from camera and microphone.

[1381] Output: Recognized user emotion data.

[1382] What it does: Analyzes data in real time using image and audio analysis libraries to identify emotional states.

[1383] Step 4:

[1384] Data validation and profile generation

[1385] The server validates the received user information and filters out invalid or defective data.

[1386] The server generates a user profile based on the verified data, which includes user attribute information.

[1387] The server further adjusts the user profile based on the emotion data recognized by the emotion engine.

[1388] Input: User information and emotion data sent to the server.

[1389] Output: Validated data and adjusted user profiles.

[1390] Specific operations: Use a database management system to ingest data, clean the data, generate user profiles, and integrate sentiment data.

[1391] Step 5:

[1392] Generation and selection of future scenarios

[1393] The server generates future scenarios based on user profiles using algorithms from psychology, sociology, and occupational databases.

[1394] The server selects the most suitable scenario from the generated ones, taking into account the scenario's realism and positive impact.

[1395] Input: The adjusted user profile.

[1396] Output: Optimal future scenario.

[1397] Specific operation: Using a machine learning algorithm, future scenarios are generated using database and emotional data as input, and the optimal scenario is selected using a ranking algorithm.

[1398] Step 6:

[1399] Returning and displaying scenarios

[1400] The server encrypts the selected future scenarios and transmits them to the user terminal.

[1401] The terminal displays the received scenario so that the user can check the contents.

[1402] Input: Optimal future scenario from the server.

[1403] Output: Future scenarios displayed in a format that can be viewed by the user.

[1404] Specific operation: Encrypt the scenario, send an HTTP POST request, analyze the received data, and display it in the GUI.

[1405] (Application example 2)

[1406] 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."

[1407] In today's shopping experience, personalized product suggestions based on users' emotional state and interests are lacking, making it difficult for users to find the best products that fit their current feelings and needs. This can lead to low user satisfaction. Furthermore, especially in physical stores, the difficulty of receiving product suggestions that are in tune with users' emotions in real time leads to inconsistent quality of the shopping experience.

[1408] The specific processing by the specific processing unit 290 of the data processing device 12 in Application Example 2 is realized by the following means. In this invention, the server includes a means for inputting information, a means for transmitting the input information to the server, a means for verifying the information received by the server and generating a user profile, a means for generating a future scenario using an algorithm based on the user profile, a means for recognizing an emotional state using a smartphone or smart glasses and generating a personalized shopping scenario, and a means for returning and displaying the generated future scenario to the user. This allows product suggestions based on the user's emotional state and interests to be provided in real time, thereby improving purchasing satisfaction.

[1409] The "means for inputting information" refers to a device or method that allows a user to input information such as their interests, concerns, purchase history, and the like.

[1410] The "means for transmitting input information to the server" refers to a protocol or device for encrypting information input by the user and transmitting it to the server.

[1411] The "means for verifying information and generating a user profile" refers to a device or method that checks the information received by the server and creates a profile to analyze the user's attributes and tendencies.

[1412] A "means for generating future scenarios using an algorithm" is a device or method that uses an algorithm that utilizes scientific data from psychology, sociology, etc. to create future scenarios based on user profiles.

[1413] "Means for recognizing emotional states using a smartphone or smart glasses" refers to a device or method that uses the camera or microphone of a smart device to analyze emotions from a user's facial expressions and voice.

[1414] A "means for generating personalized shopping scenarios" is a device or method that creates individualized product suggestions based on a user's emotional state and interests.

[1415] The "means for returning and displaying the generated future scenario to the user" refers to a device or method in which the server encrypts the scenario generated, transmits it to the user's terminal, and presents it to the user visually or audibly.

[1416] The present invention is a personalized shopping scenario generation system that combines an emotion recognition engine. A specific embodiment of this system is described below.

[1417] System Components

[1418] 1. User's device

[1419] Information input means: Provides an interface for users to input their interests, concerns, past purchase history, etc. Users use this interface to input information from their smartphone or PC.

[1420] Transmission means: The information entered by the user is encrypted and sent to the server via the HTTPS protocol.

[1421] Emotion recognition: The device is equipped with a camera and microphone, and includes an emotion engine that analyzes the user's facial expressions and tone of voice to recognize emotions. Specifically, it uses APIs from Azure Cognitive Services and Google Cloud Vision.

[1422] 2. Server

[1423] Validation method: The server validates the received user information to ensure that all required data is provided. Invalid or defective data is filtered.

[1424] User profile generation method: The server generates a user profile based on the verified data and stores and manages the user's attribute information. MySQL or PostgreSQL is used as the database.

[1425] Emotion data adjustment means: Further adjusts the user profile based on the emotion data recognized by the emotion engine.

[1426] Scenario generation means: The server uses algorithms based on psychology, sociology, occupational databases, etc. to generate future scenarios based on the user profile and adjusted emotional data.

[1427] Selection method: Select the most appropriate scenario from the multiple scenarios generated and choose the positive scenario that the user is likely to encounter.

[1428] Return method: The selected scenario is encrypted and sent back to the user's device. Again, the HTTPS protocol is used.

[1429] 3. User's device (redisplay)

[1430] Display means: The system has an interface that displays the received personalized shopping scenario in a format that is easy for the user to understand. The interface is designed to be intuitive and easy for the user to understand.

[1431] Program processing overview

[1432] The server runs a program using Python. It processes the user information it receives, performs necessary verification, and generates a user profile. It then adjusts the profile based on emotion recognition data and uses an algorithm to generate a future scenario. Finally, it returns this scenario to the user and displays it on their device.

[1433] Specific examples

[1434] If a user inputs "fashion," "sports," or "reading" into the app and the current emotion of "excitement" is recognized, the server will generate scenarios such as "new fashion items," "sale information on sports goods," and "recently released books," and select the most appropriate one to provide to the user.

[1435] Example prompt sentence:

[1436] Want recommendations based on your current mood and interests? Something special happening right now? Choose from the following categories: Fashion, Sports, Reading.

[1437] The system uses Azure Cognitive Services' emotion recognition API and MySQL database, ensuring secure data communication using HTTPS protocol. This allows users to enjoy a real-time, personalized shopping experience that is sensitive to their emotions.

[1438] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[1439] Step 1:

[1440] A user accesses the shopping assistant app on their device and enters information such as their interests and past purchase history, including categories such as "fashion," "sports," and "reading." The app then formats the information.

[1441] (Input): User's selected interest categories and past purchase history.

[1442] (Data processing): Convert information into JSON format.

[1443] (Output): User information in JSON format.

[1444] Step 2:

[1445] The information entered on the device is encrypted using the SSL / TLS protocol and sent to the server. This transmission uses the HTTPS protocol to ensure security.

[1446] (Input): User information in JSON format.

[1447] (Data calculation): Information is encrypted using SSL / TLS.

[1448] (Output): Encrypted user information.

[1449] Step 3:

[1450] The device's camera and microphone are used to analyze the user's facial expressions and tone of voice to recognize their current emotional state. Emotion recognition is performed using the Azure Cognitive Services API. The analysis results are collected as emotional data.

[1451] (Input): User's facial expression, tone of voice.

[1452] (Data Computation): Analysis of emotional states.

[1453] (Output): Recognized emotion data (e.g. excited).

[1454] Step 4:

[1455] The server validates the information received to ensure all required data is present. Invalid or defective data is filtered out.

[1456] (Input): Encrypted user information.

[1457] (Data processing): Data validation and filtering.

[1458] (Output): The verified user data.

[1459] Step 5:

[1460] The server generates a user profile based on the verified user data and stores and manages the user's attribute information. MySQL is used as the database.

[1461] (Input): Validated user data.

[1462] (Data processing): Creation of user profiles.

[1463] (Output): The user profile stored in the database.

[1464] Step 6:

[1465] The server adjusts the user profile based on the emotion recognition data, which includes modifying the profile weights and parameters based on the emotion data.

[1466] (Input): User profile, recognized emotion data.

[1467] (Data calculation): Profile adjustment.

[1468] (Output): The adjusted user profile.

[1469] Step 7:

[1470] The server uses algorithms based on psychology, sociology, and occupational databases to generate future scenarios based on user profiles and adjusted emotional data. This is done using a generative AI model.

[1471] (Input): The adjusted user profile.

[1472] (Data calculation): Execution of future scenario generation algorithm.

[1473] (Output): Generated future scenario.

[1474] Step 8:

[1475] The server selects the most appropriate future scenario from the generated ones, taking into account the scenario's realism and positive impact.

[1476] (Input): Generated future scenario.

[1477] (Data calculation): Evaluation and selection of scenarios.

[1478] (Output): A suitable future scenario.

[1479] Step 9:

[1480] The server encrypts the selected future scenario and sends it to the user's device. This communication is also secured using the HTTPS protocol.

[1481] (Input): A suitable future scenario.

[1482] (Data calculation): Encryption of scenario.

[1483] (Output): Encrypted future scenario.

[1484] Step 10:

[1485] The terminal interprets the received future scenario and displays it to the user in an easy-to-understand format. The display interface is designed to be intuitive and easy to understand.

[1486] (Input): Encrypted future scenario.

[1487] (Data Calculation): Deciphering the scenario.

[1488] (Output): The future scenario displayed to the user.

[1489] 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.

[1490] 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.

[1491] 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.

[1492] [Fourth embodiment]

[1493] FIG. 7 shows an example of the configuration of a data processing system 410 according to the fourth embodiment.

[1494] 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.

[1495] 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).

[1496] 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.

[1497] 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.

[1498] 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).

[1499] 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. 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.

[1500] 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.

[1501] 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.

[1502] 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.

[1503] 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.

[1504] 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.

[1505] 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."

[1506] Our invention, Future Story Lab, is a system that generates personalized future scenarios based on user information. This system consists of three main components: the user, the device, and the server.

[1507] System Components

[1508] 1. User's device

[1509] Information input method: Users input information such as their life goals, hobbies, interests, past experiences, and dreams via a device (smartphone or PC).

[1510] Transmission method: The terminal encrypts the entered information and sends it to the server via the HTTPS protocol.

[1511] 2. Server

[1512] Validation measures: The server validates the received user information to ensure that all required data is provided, including filtering out invalid or missing data.

[1513] User profile generation method: The server generates a user profile based on the verified data. This profile contains user attribute information.

[1514] Scenario generation means: The server uses algorithms based on psychology, sociology, occupational databases, etc. to create future scenarios based on the user profile.

[1515] Selection method: Select the most appropriate scenario from the multiple scenarios generated and choose the positive scenario that the user is likely to encounter.

[1516] Return method: The selected scenario is encrypted and returned to the user's device, again using the HTTPS protocol.

[1517] 3. User's device (redisplay)

[1518] Display method: The received future scenario is displayed in a format that is easy for the user to understand. The interface is designed to be intuitive and easy for the user to understand.

[1519] Program processing flow

[1520] Below is the processing flow performed by Future Story Lab's system program.

[1521] 1. Enter your user information

[1522] Users use their device to access the Future Story Lab website or app and enter information such as their life goals, hobbies, interests, past experiences, and dreams.

[1523] Example: A user enters "I want to be a scientist," "I read," "I jog," and "I was a leader in the high school chemistry club."

[1524] 2. Transmission of information

[1525] The terminal encrypts the entered information and sends it to the server.

[1526] Example: Encrypted information is securely sent from the device to the server.

[1527] 3. Data Verification and Analysis

[1528] The server validates the information received and ensures that all required data is present.

[1529] A user profile is generated based on the verified data.

[1530] Example: The server validates the information entered and generates a profile that includes "goal of becoming a scientist," "hobbies include reading and jogging," and "experience as a leader in the chemistry club."

[1531] 4. Generation and selection of future scenarios

[1532] The server generates multiple future scenarios based on the user profile using algorithms from psychology, sociology, and occupational databases.

[1533] The most appropriate scenario is selected from the generated scenarios.

[1534] Example: The server generates future scenarios such as "a career in a scientific research lab," "presenting at an international conference," and "reducing stress through jogging," and then selects the most realistic and appropriate scenario from among them.

[1535] 5. Returning and displaying the scenario

[1536] The server encrypts the selected scenario and sends it to the user's terminal.

[1537] The user terminal displays the received scenario, and the user checks the contents.

[1538] Example: The device receives an encrypted scenario and displays content such as "Career in a chemistry laboratory," "Presenting at an international conference," and "Relieving stress by jogging" to the user.

[1539] Specific examples of embodiments

[1540] Users of Future Story Lab can simulate detailed future prospects by specifically inputting their dreams and goals. For example, if a user inputs "I want to be a scientist," they will be presented with scenarios in which they experience working in a scientific laboratory, presenting at an international conference, or even jogging regularly, which helps reduce stress. These personalized future scenarios allow users to specifically consider future options and help them plan actions for self-improvement and goal achievement.

[1541] The processing flow will be explained below.

[1542] Step 1:

[1543] Users access the Future Story Lab website or app using their device, and through the interface, they input information about their life goals, hobbies, interests, past experiences, dreams, and more.

[1544] Example: A user enters "I want to be a scientist," "I read," "I jog," and "I was a leader in the high school chemistry club."

[1545] Step 2:

[1546] The terminal encrypts the input information using the SSL / TLS protocol and sends this information to the server.

[1547] Example: A device encrypts information such as "I want to be a scientist," "I read," "I jog," and "I have experience as a leader in the high school chemistry club" and sends it to a server.

[1548] Step 3:

[1549] The server validates the information it receives. If the information is missing or contains invalid data, the server returns an error message to the terminal, prompting it to re-enter the correct data.

[1550] Example: The server verifies the information and finds that the hobby "reading" is not specific enough, so it sends a message to the device saying "Please enter more specific reading details."

[1551] Step 4:

[1552] The server analyzes the verified information and generates a user profile, which includes the user's inputted attributes such as life goals, hobbies, interests, past experiences, and dreams.

[1553] Example: A server generates a user profile based on the following: "I want to be a scientist," "I read," "I jog," and "I was a leader in the high school chemistry club."

[1554] Step 5:

[1555] The server generates multiple future scenarios based on the user profile using an algorithm that references scientific data such as psychology, sociology, and occupational databases.

[1556] Example: The server generates future scenarios for "building a career as a scientist," "how reading affects knowledge development," and "improving physical fitness through jogging."

[1557] Step 6:

[1558] The server filters the generated future scenarios and selects the most suitable ones, taking into account the scenario's realism and positive impact.

[1559] Example: From the scenarios generated by the server, the following three scenarios are determined to be the most suitable: "Career in a chemistry laboratory," "Presenting at an international conference," and "Relieving stress through jogging."

[1560] Step 7:

[1561] The server re-encrypts the selected future scenario using the SSL / TLS protocol and sends it back to the user's device.

[1562] Example: The server encrypts selected future scenarios and sends the scenarios "Career in a scientific research lab," "Presenting at an international conference," and "Relieving stress by jogging" to the terminal.

[1563] Step 8:

[1564] The terminal displays the received future scenario to the user. The interface is designed to be intuitive and easy for users to understand.

[1565] Example: The device shows the user future scenarios such as "Career planning in a chemical research lab," "Health benefits of jogging," and "Presenting at an international conference."

[1566] Step 9:

[1567] The user can review the presented future scenario and, if not satisfied, input feedback to provide further information and request that the scenario be generated again.

[1568] Example: The user provides feedback such as "This career plan seems interesting, but I'd like to know the specific steps," and the scenario is generated again.

[1569] Example 1

[1570] 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."

[1571] In modern society, it is important for individuals to have specific scenarios for their own future. However, currently available systems are not sufficient in generating and optimizing personalized future scenarios based on user information. In particular, validation of input data, generation of user profiles, and appropriate generation and selection of future scenarios using scientific data are issues.

[1572] 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.

[1573] In this invention, the server includes means for providing an interface for a user to input information, means for encrypting the input information and sending it to the server, means for verifying the information received by the server and generating a user profile, means for generating future scenarios using a generative AI model based on the user profile, means for selecting the optimal one from the generated future scenarios, and means for encrypting the selected future scenario and returning it to the user's terminal for display. This enables the generation and optimization of personalized future scenarios based on user information.

[1574] "Means for providing an interface for users to input information" refers to a function that provides a website or application screen, etc., so that users can input their own information.

[1575] "Means for encrypting input information and sending it to a server" refers to means for using an encryption protocol to securely protect data entered by a user and sending that data to a server via the Internet.

[1576] "Means for verifying the information received by the server and generating a user profile" refers to the function by which the server checks the data sent by the user, verifies that all necessary information is included, and creates a detailed profile of the user based on that information.

[1577] "Means for generating future scenarios using a generative AI model based on a user profile" refers to a function that uses data obtained from the user profile to create future scenarios for the user using a generated AI algorithm.

[1578] The "means for selecting the most appropriate future scenario from among multiple generated scenarios" is an algorithm for selecting the most appropriate and realistic scenario for the user from among the many generated scenarios.

[1579] "Means for encrypting the selected future scenario, returning it to the user's terminal, and displaying it" refers to a function that re-encrypts the selected scenario, sends it to the user's terminal via the Internet, and displays the information in a form that the user can refer to.

[1580] The system of the present invention generates personalized future scenarios based on user information. This system basically consists of three main components: the user, the terminal, and the server.

[1581] System Components

[1582] 1. User's device

[1583] Information input method: Users input information such as life goals, hobbies, interests, past experiences, dreams, etc. using a smartphone or PC. This input interface is intuitive and designed to be easy for users to use.

[1584] Transmission method: The terminal encrypts the information entered by the user using the AES-256bit algorithm and transmits it to the server via the HTTPS protocol.

[1585] 2. Server

[1586] Validation method: The server validates the information it receives, specifically ensuring that all required data is present and filtering out incomplete or invalid data.

[1587] User profile generation means: A user profile is generated based on the verified data. This profile contains detailed information about the user's attributes.

[1588] Scenario generation means: The server generates future scenarios based on user profiles using generative AI models based on scientific data such as psychology, sociology, and occupational databases.

[1589] Selection method: Select the most appropriate scenario from the multiple scenarios generated. The algorithm prioritizes the most positive and realistic scenario for the user.

[1590] Return method: The selected scenario is re-encrypted and sent to the user's device via the HTTPS protocol.

[1591] 3. User's device (redisplay)

[1592] Display method: The received future scenario is displayed in a format that is easy for the user to understand. The interface is designed to be intuitive and easy for the user to understand.

[1593] Specific program operations and processing

[1594] 1. Enter and submit user information

[1595] The user enters information into the terminal, which is then encrypted and sent to the server.

[1596] Examples:

[1597] Life goal: I want to be a scientist

[1598] Hobbies: Reading, jogging

[1599] Past experience: Leader of the chemistry club in high school

[1600] Dream: I want to become a university professor

[1601] 2. Data validation and user profile generation

[1602] The server validates the received information, filters out any missing data, and then generates a user profile, which is saved in JSON format.

[1603] 3. Generation and selection of future scenarios

[1604] The server uses a generative AI model to generate future scenarios based on the user profile. Multiple scenarios are generated, and the most appropriate one is selected.

[1605] Examples:

[1606] Scientific laboratory careers

[1607] Presentation at an international conference

[1608] Jogging reduces stress

[1609] 4. Return and display of scenario

[1610] The server encrypts the selected scenario and sends it to the user's device using the HTTPS protocol. The user's device decrypts the received scenario and displays it in an easy-to-understand format.

[1611] Examples:

[1612] The device receives the encrypted scenario and, after decrypting it, displays the following scenarios to the user: "Career in a chemical laboratory," "Presenting at an international conference," and "Relieving stress through jogging."

[1613] This allows the present invention to generate, optimize, and safely display personalized future scenarios based on user-entered information, and by using generative AI models, it is possible to provide realistic and positive scenarios based on scientific data.

[1614] The flow of the identification process in the first embodiment will be described with reference to FIG.

[1615] Program processing flow

[1616] Step 1: Enter your user information

[1617] A user accesses the future scenario generation system via a terminal. Using the interface, the user inputs information such as their life goals, hobbies, interests, past experiences, and dreams. This is done using form components such as text boxes and check boxes.

[1618] Specific behavior:

[1619] The user enters the following information:

[1620] Life goal: I want to be a scientist

[1621] Hobbies: Reading, jogging

[1622] Past experience: Leader of the chemistry club in high school

[1623] Dream: I want to become a university professor

[1624] Step 2: Submit your information

[1625] The device receives the entered information, encrypts it using the AES-256 bit algorithm, and then sends the encrypted information to the server using the HTTPS protocol.

[1626] Input: Information entered by the user

[1627] Output: Encrypted data is sent to the server

[1628] Specific behavior:

[1629] The device encrypts data such as "I want to be a scientist," "Reading," "Jogging," and "Experience as a leader in the high school chemistry club" and sends it to the server.

[1630] Step 3: Validate the data

[1631] The server decrypts the received information and verifies that all necessary data is present. During the verification process, incomplete or invalid data is filtered out.

[1632] Input: Encrypted user information

[1633] Output: Validated data

[1634] Specific behavior:

[1635] The server decrypts the received data and checks the following:

[1636] Is "My goal to become a scientist" correct in text format?

[1637] Is "My hobbies are reading and jogging" valid information?

[1638] Is the "Chemistry Club Leader Experience" entered correctly?

[1639] Step 4: Create a user profile

[1640] The server generates a user profile based on the verified data, detailing the user's goals, hobbies, past experiences, etc. The profile is stored in JSON format.

[1641] Input: Validated data

[1642] Output: User profile

[1643] Specific behavior:

[1644] The server generates a user profile based on "goal to become a scientist," "hobbies are reading and jogging," and "experience as a leader in the chemistry club," and saves it in JSON format.

[1645] Step 5: Generate future scenarios

[1646] The server uses a generative AI model to generate future scenarios based on the user profile. The algorithm utilizes data from psychology, sociology, and occupational databases.

[1647] Input: User Profile

[1648] Output: Multiple future scenarios

[1649] Specific behavior:

[1650] The server generates the following scenario:

[1651] Scientific laboratory careers

[1652] Presentation at an international conference

[1653] Jogging reduces stress

[1654] Step 6: Screening scenarios

[1655] The server selects the most appropriate scenario from the generated scenarios. The selection algorithm prioritizes realistic and positive scenarios.

[1656] Input: Multiple future scenarios

[1657] Output: Optimal future scenario

[1658] Specific behavior:

[1659] The server evaluates the generated scenarios and determines that "Career in a Science Laboratory" is the most realistic and positive scenario.

[1660] Step 7: Return and view the scenario

[1661] The server re-encrypts the selected future scenarios and sends them to the user's device via HTTPS. The device then decrypts the received scenarios and displays them in a user-friendly format.

[1662] Input: Selected future scenarios

[1663] Output: The decrypted scenario is displayed on the terminal.

[1664] Specific behavior:

[1665] The terminal receives the encrypted scenario and, after decryption, displays the following scenario to the user:

[1666] Chemical Laboratory Career

[1667] Presentation at an international conference

[1668] Jogging to relieve stress

[1669] (Application example 1)

[1670] 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."

[1671] Conventional personalization systems only consider specific goals, hobbies, and interests when generating a user's future scenario. This makes it difficult to provide the specific shopping experience or future lifestyle scenario that the user desires. Another issue is the lack of a means to propose future scenarios that are adapted to the user's needs.

[1672] 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.

[1673] In this invention, the server includes means for verifying information and generating a user profile, means for generating a future scenario using an algorithm, means for returning and displaying the generated future scenario to the user, and means for personalizing the shopping experience and providing the future scenario based on the user's input goals, hobbies, interests, etc. This allows the user to receive a future scenario based on their specific desires and interests.

[1674] An "information input device" is a combination of hardware and software that allows a user to input data such as goals, hobbies, and interests.

[1675] A "device that transmits input information to a server" is a system that encrypts data entered by a user and transmits it to a server using the HTTPS protocol or the like.

[1676] The "device for verifying information received by a server and generating a user profile" refers to a system that verifies the user data received by a server, filters out invalid data, and then generates a profile summarizing the user's characteristics.

[1677] A "device that generates future scenarios using an algorithm based on a user profile" is a system that creates future scenarios using an algorithm that uses psychology, sociology, occupational databases, etc. based on the generated user profile.

[1678] The "device that returns and displays the generated future scenario to the user" is a system that encrypts the future scenario generated on the server, sends it back to the user's terminal via the HTTPS protocol, etc., and displays it in a format that is easy for the user to understand.

[1679] "A device that personalizes the shopping experience and provides future scenarios based on the user's input goals, hobbies, interests, etc." is a system that takes into account the user's goals, hobbies, and interests and suggests optimal shopping experiences and future lifestyle scenarios tailored to their needs.

[1680] This invention is comprised of multiple devices and a system that generates personalized future scenarios based on user input information. The system is primarily comprised of a terminal for inputting and sending information, a server for verifying and processing the data, and a terminal for displaying the results.

[1681] Overall system configuration and technologies used

[1682] 1. User Device:

[1683] Information input device: A device equipped with an interface that allows users to input their goals, hobbies, interests, past experiences, dreams, etc. This input device uses a general terminal such as a smartphone or PC.

[1684] Transmitter: Has the function of encrypting input information and sending it to the server using a secure communication protocol (HTTPS).

[1685] 2. Server:

[1686] Data Validator: The server validates the received information, filters invalid or defective data, and generates user profiles. Here, data processing is done using Node.js (Express framework).

[1687] Future scenario generator: Based on the generated user profile, the server utilizes data from psychology, sociology, and occupational databases to generate future scenarios using an algorithm. The AI ​​model used here is a custom model based on GPT-4.

[1688] Information return device: The selected scenario is encrypted and returned to the user terminal using the HTTPS protocol.

[1689] 3. User terminal again:

[1690] Display device: The received future scenario is displayed in a user-friendly format. The display format here is a simple and intuitive interface, designed to be easily understood by the user.

[1691] Process Details

[1692] Input of user information: The user accesses the future scenario generation app and inputs specific data such as goals, hobbies, interests, past experiences, dreams, etc. For example, "I want to be a scientist," "I read," "I jog," and "I served as a leader in the chemistry club in high school."

[1693] Transmission of information: The information you enter is encrypted and sent to the server via the HTTPS protocol, which ensures secure transmission of information.

[1694] Data validation and analysis: The server validates the received data and checks for any defects before generating a user profile. For example, the server might create a profile with a goal of becoming a scientist, hobbies of reading and jogging, and experience as a leader in the chemistry club.

[1695] Future scenario generation: The server uses AI to generate various future scenarios based on the user profile. For example, the server generates future scenarios such as "a career in a scientific research lab," "presenting at an international conference," and "reducing stress by jogging," and then selects the most appropriate one.

[1696] Return and display of scenario: The generated future scenario is encrypted and sent to the user's device again via HTTPS. The received scenario is decrypted on the user's device and displayed in an intuitive interface. For example, scenarios such as "Career in a scientific laboratory," "Presenting at an international conference," and "Relieving stress by jogging" are presented to the user.

[1697] Prompt Sentence Examples

[1698] Here are some example prompts to use in scenario generation:

[1699] User's goal: I want to be a scientist, Hobbies: Reading and jogging, Interests: Environmental issues, Past experience: Leader of the chemistry club in high school, Dream: I want to participate in nature conservation activities. Generate the best future scenario for this user.

[1700] By implementing this invention, users can obtain specific future scenarios that are personalized based on their interests and goals, which allows them to understand future options more concretely and makes it easier for them to make plans for self-improvement and goal achievement.

[1701] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[1702] Step 1:

[1703] Users input information such as their goals, hobbies, interests, past experiences, and dreams using an input device (smartphone or PC).

[1704] Input: User information such as goals, hobbies, interests, past experiences, dreams, etc.

[1705] Output: User information stored on the user's device

[1706] Step 2:

[1707] The user terminal encrypts the entered information and sends it to the server using the HTTPS protocol.

[1708] Input: User information stored on the user's device

[1709] Output: Encrypted user information is sent to the server

[1710] Step 3:

[1711] The server decrypts the received encrypted information and verifies it using a data verification device, at which point invalid or defective data is filtered out.

[1712] Input: Encrypted user information

[1713] Output: Verified user information

[1714] Step 4:

[1715] The server generates a user profile based on the verified data.

[1716] Input: Verified user information

[1717] Output: User profile

[1718] Step 5:

[1719] The server uses the user profile to generate future scenarios using an AI model (a custom model based on GPT-4), which is based on data from psychology, sociology, and occupational databases.

[1720] Input: User profile

[1721] Output: Generated future scenario

[1722] Step 6:

[1723] The server evaluates the generated scenarios and selects the most suitable one.

[1724] Input: A set of generated future scenarios

[1725] Output: Selected future scenarios

[1726] Step 7:

[1727] The server re-encrypts the selected future scenarios and sends them to the user terminal using the HTTPS protocol.

[1728] Input: Selected future scenarios

[1729] Output: The encrypted selection scenario is sent to the user terminal.

[1730] Step 8:

[1731] The user terminal decrypts the received encrypted scenario and displays it to the user through an intuitive interface.

[1732] Input: Encrypted screening scenario

[1733] Output: The deciphered future scenario is displayed to the user.

[1734] 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.

[1735] The future scenario generation system of this invention, which combines an emotion engine, generates more personalized future scenarios based on the user's input information and their emotional state. This system consists of three main components: the user, the terminal, and the server.

[1736] System Components

[1737] 1. User's device

[1738] Information input method: Users input information such as their life goals, hobbies, interests, past experiences, and dreams via a device (smartphone or PC).

[1739] Transmission method: The terminal encrypts the entered information and sends it to the server via the HTTPS protocol.

[1740] Emotion recognition means: The device is equipped with a camera and microphone, and includes an emotion engine that analyzes the user's facial expressions and tone of voice to recognize emotions.

[1741] 2. Server

[1742] Validation measures: The server validates the received user information to ensure that all required data is provided, including filtering out invalid or missing data.

[1743] User profile generation method: The server generates a user profile based on the verified data. This profile contains user attribute information.

[1744] Emotion data adjustment means: Further adjusts the user profile based on the emotion data recognized by the emotion engine.

[1745] Scenario generation means: The server uses algorithms based on psychology, sociology, occupational databases, etc. to create future scenarios based on the user profile and adjusted emotional data.

[1746] Selection method: Select the most appropriate scenario from the multiple scenarios generated and choose the positive scenario that the user is likely to encounter.

[1747] Return method: The selected scenario is encrypted and returned to the user's device, again using the HTTPS protocol.

[1748] 3. User's device (redisplay)

[1749] Display method: The received future scenario is displayed in a format that is easy for the user to understand. The interface is designed to be intuitive and easy for the user to understand.

[1750] Program processing flow

[1751] Below is the processing flow of Future Story Lab's system, which combines an emotion engine.

[1752] 1. Enter your user information

[1753] Users use their device to access the Future Story Lab website or app and enter information such as their life goals, hobbies, interests, past experiences, and dreams.

[1754] Example: A user enters "I want to be a scientist," "I read," "I jog," and "I was a leader in the high school chemistry club."

[1755] 2. Transmission of information

[1756] The terminal encrypts the input information using the SSL / TLS protocol and sends this information to the server.

[1757] Example: A device encrypts information such as "I want to be a scientist," "I read," "I jog," and "I was a leader in the high school chemistry club" and sends it to a server.

[1758] 3. Emotional Recognition

[1759] Using the device's camera and microphone, the system analyzes the user's facial expressions and tone of voice to recognize their current emotional state.

[1760] Example: The device analyzes the user's facial expressions and detects emotional states such as "excited" or "expectant."

[1761] 4. Data Verification and Analysis

[1762] The server validates the information received and ensures that all required data is present.

[1763] A user profile is generated based on the verified data.

[1764] The user profile is adjusted based on the emotional data recognized by the emotion engine.

[1765] Example: The server verifies the information and generates and adjusts a user profile based on the following information: "I want to be a scientist," "I read," "I jog," "I was a leader in my high school chemistry club," and "I'm excited right now."

[1766] 5. Generation and selection of future scenarios

[1767] The server generates future scenarios based on user profiles using algorithms from psychology, sociology, and occupational databases.

[1768] The most suitable scenarios are selected from the generated scenarios, taking into account their realism and positive impact.

[1769] Example: A server generates future scenarios such as "building a career in a science laboratory," "how reading affects knowledge development," "improving physical fitness through jogging," and "a scenario in which the current state of excitement is sustained," and selects the most suitable one.

[1770] 6. Returning and displaying the scenario

[1771] The server encrypts the selected future scenarios and sends them to the user's terminal.

[1772] The user terminal displays the received scenario, and the user checks the contents.

[1773] Example: The device receives an encrypted scenario and displays to the user "Career plans in a scientific research lab," "Health benefits of jogging," "Presentation at an international conference," and "Scenarios for when excitement continues."

[1774] Specific examples of embodiments

[1775] Users of Future Story Lab can input their dreams and goals in detail, and the emotion engine can recognize their current emotional state to present more detailed and personalized future scenarios. For example, if a user inputs "I want to be a scientist" and the emotion engine recognizes that they are "excited," the system will present a scenario themed around the joy and excitement of building a career in a scientific research lab. In this way, by incorporating the user's emotions, the system can provide more realistic and relatable future scenarios.

[1776] The processing flow will be explained below.

[1777] Step 1:

[1778] Users use their device to access the Future Story Lab website or app and enter information such as their life goals, hobbies, interests, past experiences, and dreams.

[1779] Example: A user enters "I want to be a scientist," "I read," "I jog," and "I was a leader in the high school chemistry club."

[1780] Step 2:

[1781] The terminal encrypts the input information using the SSL / TLS protocol and sends this information to the server.

[1782] Example: A device encrypts information such as "I want to be a scientist," "I read," "I jog," and "I was a leader in the high school chemistry club" and sends it to a server.

[1783] Step 3:

[1784] Using the device's camera and microphone, the system analyzes the user's facial expressions and tone of voice in real time to recognize their current emotional state.

[1785] Example: The device analyzes the user's facial expressions and detects emotional states such as "excited" or "expectant."

[1786] Step 4:

[1787] The device sends the emotion data it recognizes to the server, which is also encrypted using the SSL / TLS protocol.

[1788] Example: A device encrypts emotional data such as "excited" and sends it to a server.

[1789] Step 5:

[1790] The server verifies the received user information and emotion data and checks whether all necessary data is present. If any data is missing, it returns an error message to the terminal and asks the user to re-enter the data.

[1791] Example: A server verifies the following information: "I want to be a scientist," "I read," "I jog," "I was a leader in my high school chemistry club," and "I'm excited."

[1792] Step 6:

[1793] The server analyzes the verified information and generates a user profile, which includes the user's attribute information and emotional data.

[1794] Example: A server generates a user profile based on the following: "I want to be a scientist," "I read," "I jog," "I was a leader in the high school chemistry club," and "I'm excited right now."

[1795] Step 7:

[1796] The server generates multiple future scenarios based on the user profile using algorithms that reference psychology, sociology, and occupational databases.

[1797] Example: The server generates future scenarios for "Careers in a Science Laboratory," "The Impact of Reading on Knowledge," "The Health Benefits of Jogging," and "Scenarios in an Excited State."

[1798] Step 8:

[1799] The server selects the most suitable future scenario from the generated ones, taking into account the scenario's realism and positive impact.

[1800] Example: The server determines that the following scenarios are suitable: "Career in a scientific laboratory," "Relieving stress through jogging," "The mental calm that comes from reading," and "Presenting at an international conference."

[1801] Step 9:

[1802] The server encrypts the selected future scenarios and sends them to the user's device.

[1803] Example: The server encrypts selected future scenarios and sends scenarios such as "Career in a scientific research lab," "Relieving stress through jogging," and "Presenting at an international conference" to the terminal.

[1804] Step 10:

[1805] The terminal displays the received future scenario to the user. The interface is designed to be intuitive and easy for users to understand.

[1806] Example: The device shows the user scenarios such as "Careers in a scientific laboratory," "The health benefits of jogging," "Presenting at an international conference," and "Scenarios for sustained excitement."

[1807] Step 11:

[1808] The user can review the presented future scenario and, if not satisfied, input feedback to provide further information and request that the scenario be generated again.

[1809] Example: The user provides feedback such as "This career plan seems interesting, but I'd like to know the specific steps," and the scenario is generated again.

[1810] Example 2

[1811] 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."

[1812] In modern society, there is a lack of systems that fully reflect individual characteristics and emotional states when considering future scenarios such as personal life plans and career paths. Furthermore, existing systems lack the ability to comprehensively analyze user information and propose realistic scenarios. This poses a challenge in providing users with personalized, specific, and emotionally relevant future scenarios.

[1813] The identification process by the identification processing unit 290 of the data processing device 12 in the second embodiment is realized by the following means. In this invention, the server includes means for verifying received information and generating a user profile, means for adjusting the user profile based on emotional data, means for generating future scenarios using an algorithm based on the user profile, and means for selecting the optimal one from multiple scenarios. This makes it possible to generate and select personalized future scenarios that reflect the individual characteristics and emotional state of the user.

[1814] "Means for inputting information" refers to a device or interface that allows a user to input information such as life goals, hobbies, interests, past experiences, and dreams using a terminal.

[1815] The "means for transmitting input information to a server" refers to the devices and protocols required to encrypt information input by a user to a terminal and transmit it to a server via a network.

[1816] "Means for recognizing a user's emotional state using a device's camera or microphone" refers to software and hardware that uses a device's camera or microphone to analyze the user's facial expressions and tone of voice to recognize emotions.

[1817] The "means for verifying the information received by the server and generating a user profile" refers to the means for the server to verify the information received from the user, filter out invalid or defective data, and then create a profile including the user's characteristics and attribute information.

[1818] The "means for adjusting a user profile based on emotion data" refers to a means for further refining and adjusting an existing user profile by utilizing emotion data obtained by the emotion recognition means.

[1819] "Means for generating future scenarios using algorithms based on user profiles" refers to means for generating future scenarios using algorithms from psychology, sociology, occupational databases, etc. based on user profiles and adjusted emotional data.

[1820] "Means for selecting the optimal scenario from multiple scenarios" refers to a means for selecting the most appropriate scenario from multiple generated future scenarios, taking into account realism and positive impacts.

[1821] The "means for returning and displaying the generated future scenario to the user" refers to the means for encrypting the generated and selected future scenario, sending it to the user's terminal, and displaying it in a format that the user can check.

[1822] This invention relates to a system that generates future scenarios based on user input information. This system consists of three main components: the user, the terminal, and the server.

[1823] Components

[1824] 1. User's device

[1825] Information input method: Users input information such as their life goals, hobbies, interests, past experiences, and dreams via a device (smartphone or PC).

[1826] Details: Provide information through web forms and input fields in apps.

[1827] Transmission means: The terminal encrypts the input information using the SSL / TLS protocol and transmits it to the server.

[1828] Details: Securely encrypt data using a cryptography library and send it using an HTTP POST request.

[1829] Emotion recognition means: The device is equipped with a camera and microphone, and includes an emotion engine that analyzes the user's facial expressions and tone of voice to recognize emotions.

[1830] Learn more: Analyze data in real time using image and audio analysis libraries to identify emotional states.

[1831] 2. Server

[1832] Validation measures: The server validates the received user information to ensure that all required data is provided, including filtering out invalid or defective data.

[1833] Details: Use a database management system to ingest and cleanse data.

[1834] User profile generation means: The server generates a user profile based on the verified data. This profile includes user attribute information.

[1835] Details: Store user attribute information in a database and structure it as a profile.

[1836] Emotion data adjustment means: Further adjusts the user profile based on the emotion data recognized by the emotion engine.

[1837] Elaboration: Integrate sentiment data into existing profile data to add more detail.

[1838] Scenario generation means: The server uses algorithms based on psychology, sociology, occupational databases, etc. to create future scenarios based on the user profile and adjusted emotional data.

[1839] Details: Using machine learning algorithms, future scenarios are generated using databases and emotional data as input.

[1840] Selection method: Select the most appropriate scenario from the multiple scenarios generated and choose the positive scenario that the user is likely to encounter.

[1841] Details: A ranking algorithm is used to select the best scenario from the generated scenarios.

[1842] Return method: The selected scenario is encrypted and returned to the user's device, again using the HTTPS protocol.

[1843] Details: Encrypt the data again using an encryption library and send it using an HTTP POST request.

[1844] 3. User's device (redisplay)

[1845] Display method: The received future scenario is displayed in a format that is easy for the user to understand. The interface is designed to be intuitive and easy for the user to understand.

[1846] Details: A graphical user interface (GUI) is used to display received data, providing information in a format that is easy for users to select and understand.

[1847] Specific examples

[1848] The user inputs "I want to be a scientist," "Reading," "Jogging," and "Experience as a leader in the high school chemistry club." The device encrypts this information and sends it to the server, which then uses the camera and microphone to analyze the user's emotional state, such as "Excited" or "Expecting." After verifying this information, the server generates a user profile and integrates the emotional data to adjust the profile. It uses an algorithm to generate future scenarios, such as "Build a career in a science lab," selects the most suitable scenario, and sends it back to the device. The device displays the received scenarios in an intuitive user interface.

[1849] Prompt Sentence Examples

[1850] Examples of prompts that users can use to predict the future using Future Story Lab include:

[1851] "I want to be a scientist. I enjoy reading and jogging. I was a leader in my high school chemistry club and I'm excited about it."

[1852] The flow of the identification process in the second embodiment will be described with reference to FIG.

[1853] Step 1:

[1854] Entering user information

[1855] Users use their device to access the Future Story Lab website or app.

[1856] Users enter information such as their life goals, hobbies, interests, past experiences, and dreams.

[1857] Input: Information such as your life goals, hobbies, interests, past experiences, dreams, etc.

[1858] Output: The information entered by the user is saved on the device.

[1859] What happens: A user enters information into a web form or app input field and presses the submit button.

[1860] Step 2:

[1861] Sending information

[1862] The terminal encrypts the information entered by the user using the SSL / TLS protocol.

[1863] The terminal transmits the encrypted information to the server.

[1864] Input: User input information in the device.

[1865] Output: Encrypted user information is sent to the server.

[1866] What it does: Encrypts data using the encryption library with the SSL / TLS protocol and sends an HTTP POST request.

[1867] Step 3:

[1868] Emotion recognition

[1869] The device uses a camera and microphone to capture the user's facial expressions and tone of voice.

[1870] The device activates an emotion engine to analyze this data and recognize emotions.

[1871] Input: Real-time data from camera and microphone.

[1872] Output: Recognized user emotion data.

[1873] What it does: Analyzes data in real time using image and audio analysis libraries to identify emotional states.

[1874] Step 4:

[1875] Data validation and profile generation

[1876] The server validates the received user information and filters out invalid or defective data.

[1877] The server generates a user profile based on the verified data, which includes user attribute information.

[1878] The server further adjusts the user profile based on the emotion data recognized by the emotion engine.

[1879] Input: User information and emotion data sent to the server.

[1880] Output: Validated data and adjusted user profiles.

[1881] Specific operations: Use a database management system to ingest data, clean the data, generate user profiles, and integrate sentiment data.

[1882] Step 5:

[1883] Generation and selection of future scenarios

[1884] The server generates future scenarios based on user profiles using algorithms from psychology, sociology, and occupational databases.

[1885] The server selects the most suitable scenario from the generated ones, taking into account the scenario's realism and positive impact.

[1886] Input: The adjusted user profile.

[1887] Output: Optimal future scenario.

[1888] Specific operation: Using a machine learning algorithm, future scenarios are generated using database and emotional data as input, and the optimal scenario is selected using a ranking algorithm.

[1889] Step 6:

[1890] Returning and displaying scenarios

[1891] The server encrypts the selected future scenarios and transmits them to the user terminal.

[1892] The terminal displays the received scenario so that the user can check the contents.

[1893] Input: Optimal future scenario from the server.

[1894] Output: The future scenario displayed in a format that can be viewed by the user.

[1895] Specific operation: Encrypt the scenario, send an HTTP POST request, analyze the received data, and display it in the GUI.

[1896] (Application example 2)

[1897] 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."

[1898] In today's shopping experience, personalized product suggestions based on users' emotional state and interests are lacking, making it difficult for users to find the best products that fit their current feelings and needs. This can lead to low user satisfaction. Furthermore, especially in physical stores, the difficulty of receiving product suggestions that are in tune with users' emotions in real time leads to inconsistent quality of the shopping experience.

[1899] The specific processing by the specific processing unit 290 of the data processing device 12 in Application Example 2 is realized by the following means. In this invention, the server includes a means for inputting information, a means for transmitting the input information to the server, a means for verifying the information received by the server and generating a user profile, a means for generating a future scenario using an algorithm based on the user profile, a means for recognizing an emotional state using a smartphone or smart glasses and generating a personalized shopping scenario, and a means for returning and displaying the generated future scenario to the user. This allows product suggestions based on the user's emotional state and interests to be provided in real time, thereby improving purchasing satisfaction.

[1900] The "means for inputting information" refers to a device or method that allows a user to input information such as their interests, concerns, purchase history, and the like.

[1901] The "means for transmitting input information to the server" refers to a protocol or device for encrypting information input by the user and transmitting it to the server.

[1902] The "means for verifying information and generating a user profile" refers to a device or method that checks the information received by the server and creates a profile to analyze the user's attributes and tendencies.

[1903] A "means for generating future scenarios using an algorithm" is a device or method that uses an algorithm that utilizes scientific data from psychology, sociology, etc. to create future scenarios based on user profiles.

[1904] "Means for recognizing emotional states using a smartphone or smart glasses" refers to a device or method that uses the camera or microphone of a smart device to analyze emotions from a user's facial expressions and voice.

[1905] A "means for generating personalized shopping scenarios" is a device or method that creates individualized product suggestions based on a user's emotional state and interests.

[1906] The "means for returning and displaying the generated future scenario to the user" refers to a device or method in which the server encrypts the scenario generated, transmits it to the user's terminal, and presents it to the user visually or audibly.

[1907] The present invention is a personalized shopping scenario generation system that combines an emotion recognition engine. A specific embodiment of this system is described below.

[1908] System Components

[1909] 1. User's device

[1910] Information input means: Provides an interface for users to input their interests, concerns, past purchase history, etc. Users use this interface to input information from their smartphone or PC.

[1911] Transmission means: The information entered by the user is encrypted and sent to the server via the HTTPS protocol.

[1912] Emotion recognition: The device is equipped with a camera and microphone, and includes an emotion engine that analyzes the user's facial expressions and tone of voice to recognize emotions. Specifically, it uses APIs from Azure Cognitive Services and Google Cloud Vision.

[1913] 2. Server

[1914] Validation method: The server validates the received user information to ensure that all required data is provided. Invalid or defective data is filtered.

[1915] User profile generation method: The server generates a user profile based on the verified data and stores and manages the user's attribute information. MySQL or PostgreSQL is used as the database.

[1916] Emotion data adjustment means: Further adjusts the user profile based on the emotion data recognized by the emotion engine.

[1917] Scenario generation means: The server uses algorithms based on psychology, sociology, occupational databases, etc. to generate future scenarios based on the user profile and adjusted emotional data.

[1918] Selection method: Select the most appropriate scenario from the multiple scenarios generated and choose the positive scenario that the user is likely to encounter.

[1919] Return method: The selected scenario is encrypted and sent back to the user's device. Again, the HTTPS protocol is used.

[1920] 3. User's device (redisplay)

[1921] Display means: The system has an interface that displays the received personalized shopping scenario in a format that is easy for the user to understand. The interface is designed to be intuitive and easy for the user to understand.

[1922] Program processing overview

[1923] The server runs a program using Python. It processes the user information it receives, performs necessary verification, and generates a user profile. It then adjusts the profile based on emotion recognition data and uses an algorithm to generate a future scenario. Finally, it returns this scenario to the user and displays it on their device.

[1924] Specific examples

[1925] If a user inputs "fashion," "sports," or "reading" into the app and the current emotion of "excitement" is recognized, the server will generate scenarios such as "new fashion items," "sale information on sports goods," and "recently released books," and select the most appropriate one to provide to the user.

[1926] Example prompt sentence:

[1927] Want recommendations based on your current mood and interests? Something special happening right now? Choose from the following categories: Fashion, Sports, Reading.

[1928] The system uses Azure Cognitive Services' emotion recognition API and MySQL database, ensuring secure data communication using HTTPS protocol. This allows users to enjoy a real-time, personalized shopping experience that is sensitive to their emotions.

[1929] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[1930] Step 1:

[1931] A user accesses the shopping assistant app on their device and enters information such as their interests and past purchase history, including categories such as "fashion," "sports," and "reading." The app then formats the information.

[1932] (Input): User's selected interest categories and past purchase history.

[1933] (Data processing): Convert information into JSON format.

[1934] (Output): User information in JSON format.

[1935] Step 2:

[1936] The information entered on the device is encrypted using the SSL / TLS protocol and sent to the server. This transmission uses the HTTPS protocol to ensure security.

[1937] (Input): User information in JSON format.

[1938] (Data calculation): Information is encrypted using SSL / TLS.

[1939] (Output): Encrypted user information.

[1940] Step 3:

[1941] The device's camera and microphone are used to analyze the user's facial expressions and tone of voice to recognize their current emotional state. Emotion recognition is performed using the Azure Cognitive Services API. The analysis results are collected as emotional data.

[1942] (Input): User's facial expression, tone of voice.

[1943] (Data Computation): Analysis of emotional states.

[1944] (Output): Recognized emotion data (e.g. excited).

[1945] Step 4:

[1946] The server validates the information received to ensure all required data is present. Invalid or defective data is filtered out.

[1947] (Input): Encrypted user information.

[1948] (Data processing): Data validation and filtering.

[1949] (Output): The verified user data.

[1950] Step 5:

[1951] The server generates a user profile based on the verified user data and stores and manages the user's attribute information. MySQL is used as the database.

[1952] (Input): Validated user data.

[1953] (Data processing): Creation of user profiles.

[1954] (Output): The user profile stored in the database.

[1955] Step 6:

[1956] The server adjusts the user profile based on the emotion recognition data, which includes modifying the profile weights and parameters based on the emotion data.

[1957] (Input): User profile, recognized emotion data.

[1958] (Data calculation): Profile adjustment.

[1959] (Output): The adjusted user profile.

[1960] Step 7:

[1961] The server uses algorithms based on psychology, sociology, and occupational databases to generate future scenarios based on user profiles and adjusted emotional data. This is done using a generative AI model.

[1962] (Input): The adjusted user profile.

[1963] (Data calculation): Execution of future scenario generation algorithm.

[1964] (Output): Generated future scenario.

[1965] Step 8:

[1966] The server selects the most appropriate future scenario from the generated ones, taking into account the scenario's realism and positive impact.

[1967] (Input): Generated future scenario.

[1968] (Data calculation): Evaluation and selection of scenarios.

[1969] (Output): A suitable future scenario.

[1970] Step 9:

[1971] The server encrypts the selected future scenario and sends it to the user's device. This communication is also secured using the HTTPS protocol.

[1972] (Input): A suitable future scenario.

[1973] (Data calculation): Encryption of scenario.

[1974] (Output): Encrypted future scenario.

[1975] Step 10:

[1976] The terminal interprets the received future scenario and displays it to the user in an easy-to-understand format. The display interface is designed to be intuitive and easy to understand.

[1977] (Input): Encrypted future scenario.

[1978] (Data Calculation): Deciphering the scenario.

[1979] (Output): The future scenario displayed to the user.

[1980] 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.

[1981] 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.

[1982] 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.

[1983] 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.

[1984] 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.

[1985] 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.

[1986] 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).

[1987] 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.

[1988] 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."

[1989] 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.

[1990] 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).

[1991] 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.

[1992] 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.

[1993] 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.

[1994] 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.

[1995] 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.

[1996] 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.

[1997] 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.

[1998] 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.

[1999] 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, in order to avoid confusion and to 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.

[2000] 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.

[2001] The following is further disclosed regarding the above embodiment.

[2002] (Claim 1)

[2003] a means for inputting information;

[2004] means for transmitting the input information to a server;

[2005] means for the server to verify the received information and generate a user profile;

[2006] means for generating future scenarios using an algorithm based on a user profile;

[2007] a means for returning the generated future scenario to the user and displaying it;

[2008] A system including:

[2009] (Claim 2)

[2010] 10. The system of claim 1, wherein the system generates future scenarios based on user-provided life goals, hobbies, interests, past experiences, and dreams.

[2011] (Claim 3)

[2012] 2. The system of claim 1, wherein future scenarios are generated based on algorithms using scientific data such as psychology, sociology, and occupational databases.

[2013] "Example 1"

[2014] (Claim 1)

[2015] means for providing an interface for a user to input information;

[2016] A means for encrypting input information and transmitting it to a server;

[2017] means for the server to verify the received information and generate a user profile;

[2018] A means for generating future scenarios using a generative AI model based on a user profile;

[2019] A means for selecting the optimal future scenario from among the multiple future scenarios generated;

[2020] a means for encrypting the selected future scenario, returning it to the user's terminal, and displaying it;

[2021] A system including:

[2022] (Claim 2)

[2023] 10. The system of claim 1, wherein the system generates future scenarios based on user-provided life goals, hobbies, interests, past experiences, and dreams.

[2024] (Claim 3)

[2025] 2. The system of claim 1, wherein future scenarios are generated based on algorithms using scientific data such as psychology, sociology, and occupational databases.

[2026] "Application Example 1"

[2027] (Claim 1)

[2028] a device for inputting information;

[2029] a device for transmitting input information to a server;

[2030] a device for verifying the information received by the server and generating a user profile;

[2031] a device that generates future scenarios using an algorithm based on a user profile;

[2032] a device that returns the generated future scenario to the user and displays it;

[2033] a device that personalizes the shopping experience based on the user's input goals, hobbies, interests, etc., and provides future scenarios;

[2034] A system including:

[2035] (Claim 2)

[2036] 10. The system of claim 1, wherein the system generates future scenarios based on user-provided goals, hobbies, interests, past experiences, and dreams.

[2037] (Claim 3)

[2038] 2. The system of claim 1, wherein future scenarios are generated based on scientific data such as psychology, sociology, and occupational databases, and AI models.

[2039] "Example 2: Combining Emotion Engines"

[2040] (Claim 1)

[2041] a means for inputting information;

[2042] means for transmitting the input information to a server;

[2043] A means for recognizing the emotional state of a user using a camera or microphone of the device;

[2044] means for the server to verify the received information and generate a user profile;

[2045] means for adjusting a user profile based on the emotion data;

[2046] means for generating future scenarios using an algorithm based on a user profile;

[2047] A means of selecting the best one from multiple scenarios,

[2048] a means for returning the generated future scenario to the user and displaying it;

[2049] A system including:

[2050] (Claim 2)

[2051] 10. The system of claim 1, wherein the system generates future scenarios based on user-provided life goals, hobbies, interests, past experiences, dreams, and emotional states.

[2052] (Claim 3)

[2053] 2. The system of claim 1, wherein future scenarios are generated based on algorithms using psychological, sociological, occupational, and emotional data.

[2054] "Application example 2 when combining emotion engines"

[2055] (Claim 1)

[2056] a means for inputting information;

[2057] means for transmitting the input information to a server;

[2058] means for the server to verify the received information and generate a user profile;

[2059] means for generating future scenarios using an algorithm based on a user profile;

[2060] A means for recognizing emotional states using a smartphone or smart glasses and generating personalized shopping scenarios;

[2061] a means for returning the generated future scenario to the user and displaying it;

[2062] A system including:

[2063] (Claim 2)

[2064] 10. The system of claim 1, wherein the system generates future scenarios based on user-provided life goals, hobbies, interests, past experiences, and dreams.

[2065] (Claim 3)

[2066] 2. The system of claim 1, wherein future scenarios are generated based on algorithms using scientific data such as psychology, sociology, and occupational databases. [Explanation of symbols]

[2067] 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 for inputting information; means for transmitting the input information to a server; means for the server to verify the received information and generate a user profile; means for generating future scenarios using an algorithm based on a user profile; a means for returning the generated future scenario to the user and displaying it; A system including:

2. The system of claim 1, wherein the system generates future scenarios based on user-provided life goals, hobbies, interests, past experiences, and dreams.

3. 2. The system according to claim 1, wherein future scenarios are generated based on algorithms using scientific data such as psychology, sociology, and occupational databases.

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