system

Abstract

We provide the system. [Solution] A means of receiving user requests via a personal information processing device, A means for transmitting the request to multiple other parties' information processing devices via a computer network, A means for aggregating responses from the other party's information processing device and selecting the optimal plan, Means for notifying the user's information processing device of the selected plan, A means for automatically performing a reservation action when the proposed schedule is approved by the user, Means for notifying all relevant information processing devices of the reservation completion information, A system that includes this.

Description

Technical Field

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

Background Art

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

Prior Art Documents

Patent Documents

[0003]

Patent Document 1

Summary of the Invention

Problems to be Solved by the Invention

[0004] It is intended to solve the problem that users spend a lot of time and effort in communication with family and friends and schedule adjustment. The present invention aims to reduce the burden on users by automating and efficiently managing these tasks. In particular, it is an object to improve the current situation where support is insufficient when various schedules and wishes are involved.

Means for Solving the Problems

[0005] This invention provides a system that uses a personal information processing device to acquire a user's preferences and transmits those preferences to other information processing devices via a computer network. This system aggregates the feedback received from others, selects the most suitable schedule, and notifies the user of the result. Furthermore, it has a function to automatically reserve approved schedules and notifies all related information processing devices after the reservation is complete. In this way, by utilizing an optimization algorithm based on the user's interest information and schedule information, and by providing a means to securely transfer data via a communication protocol, the system streamlines user communication and schedule coordination.

[0006] A "personal information processing device" refers to an electronic device, such as a computer or smartphone, that a user uses to input and output information.

[0007] A "computer network" refers to an infrastructure that connects multiple information processing devices to exchange data and communicate with each other.

[0008] "Feedback" refers to a response or opinion received from another information processing device in response to a user's request.

[0009] The "optimal plan" refers to the plan that, based on aggregated feedback, is determined to best meet the requirements of all relevant users.

[0010] An "algorithm" is a series of computational steps for solving a specific task, and in this invention, it is a procedure for optimizing a plan.

[0011] A "communication protocol" refers to a set of rules or procedures for accurately and efficiently transferring data between information processing devices.

[0012] "Secure transfer" refers to the movement of data between information processing devices in a state where it is protected from unauthorized access and tampering from external sources. [Brief explanation of the drawing]

[0013] [Figure 1] This is a conceptual diagram showing an example of the configuration of a data processing system according to the first embodiment. [Figure 2] This is a conceptual diagram showing an example of the essential functions of a data processing device and a smart device according to the first embodiment. [Figure 3] This is a conceptual diagram showing an example of the configuration of a data processing system according to the second embodiment. [Figure 4] This is a conceptual diagram showing an example of the main functions of a data processing device and smart glasses according to the second embodiment. [Figure 5] This is a conceptual diagram showing an example of the configuration of a data processing system according to the third embodiment. [Figure 6] This is a conceptual diagram showing an example of the main functions of a data processing device and a headset-type terminal according to the third embodiment. [Figure 7] This is a conceptual diagram showing an example of the configuration of a data processing system according to the fourth embodiment. [Figure 8] This is a conceptual diagram showing an example of the main functions of a data processing device and a robot according to the fourth embodiment. [Figure 9] This shows an emotion map where multiple emotions are mapped. [Figure 10] This shows an emotion map where multiple emotions are mapped. [Figure 11] This is a sequence diagram showing the processing flow of the data processing system in Example 1. [Figure 12] This is a sequence diagram showing the processing flow of the data processing system in Application Example 1. [Figure 13] This is a sequence diagram showing the processing flow of the data processing system in Example 2, which incorporates an emotion engine. [Figure 14]It is a sequence diagram showing the processing flow of a data processing system in Application Example 2 when a sentiment engine is combined.

Embodiments for Carrying Out the Invention

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

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

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

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

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

[0019] In the following embodiments, the signed communication interface (I / F) is an interface that includes a communication processor and an antenna, etc. The communication interface manages communication between multiple computers. Examples of communication standards applicable to the communication interface include wireless communication standards such as 5G (5th Generation Mobile Communication System), Wi-Fi (registered trademark), or Bluetooth (registered trademark).

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

[0021] [First Embodiment]

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

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

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

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

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

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

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

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

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

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

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

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

[0034] As an embodiment of the present invention, a communication process between a user, a terminal, and a server will be described. In this system, the user inputs their wishes and requests using the terminal. For example, one might assume the request is, "I would like to have dinner with a friend in the first week of next month."

[0035] The device receives the user's input and, with the user's permission, sends that information to the server. The server receives this information and generates suggested plans based on the user's schedule and past interests. The server then sends the corresponding suggested plans to the devices of friends and family members designated by the user.

[0036] The AI ​​agent on the friend's or family member's device receives this information and compares it with the user's schedule and interests. When this feedback is sent back to the server, the server aggregates all the feedback and selects the optimal plan. Once a plan is selected, the server notifies the original user of that plan.

[0037] When a user approves a plan, the device notifies the server of the approval. The server receives this information and automatically performs the necessary procedures, such as making a reservation. At the same time, it notifies the user and their registered friends and family that the reservation is complete and adds the event to the device's schedule and calendar.

[0038] This invention optimizes schedules according to the user's interests and needs using the proposed algorithm. Furthermore, it is designed to ensure secure data transfer by utilizing communication protocols, enabling efficient and secure communication. This significantly simplifies scheduling and communication among family and friends, making users' lives more convenient.

[0039] The following describes the processing flow.

[0040] Step 1:

[0041] The user enters details of the desired event into their device. This includes information such as the date and time of the event and the number of participants.

[0042] Step 2:

[0043] The terminal receives the user's input as digital data and prepares it for transmission to the server.

[0044] Step 3:

[0045] The server receives data sent from the terminal and analyzes the event preferences. It prepares to generate candidate plans, taking into account the user's past schedule and interests.

[0046] Step 4:

[0047] The server sends suggested plans to the user's friends and family's devices and requests each device to confirm the schedule.

[0048] Step 5:

[0049] Based on candidate plans received from the server by friends' and family members' devices, the system checks each user's schedule and interest data to determine if they can participate and whether they are interested.

[0050] Step 6:

[0051] Each terminal collects user feedback and sends it back to the server.

[0052] Step 7:

[0053] The server aggregates all the feedback and executes a process to select the most suitable plan.

[0054] Step 8:

[0055] The server sends the selected plan to the user's terminal and notifies the user. The user then indicates whether they approve or reject the plan.

[0056] Step 9:

[0057] If the user approves the plan, the device sends that information to the server.

[0058] Step 10:

[0059] The server automatically processes the reservation based on the approved plan and notifies all relevant parties on their devices of its completion.

[0060] Step 11:

[0061] The device adds the event to the user's schedule and provides the user with a final notification.

[0062] (Example 1)

[0063] Next, we will describe Example 1. In the following description, the data processing device 12 will be referred to as the "server," and the smart device 14 will be referred to as the "terminal."

[0064] Conventional scheduling systems made it difficult to select the optimal plan based on user interests and schedules, and required manual confirmation and adjustment when coordinating with multiple parties. Furthermore, there were issues with secure data transmission, making efficient and secure communication a challenge.

[0065] The identification process performed by the identification processing unit 290 of the data processing device 12 in Example 1 is realized by the following means.

[0066] In this invention, the server includes means for receiving user preferences via a personal information processing device, means for selecting the optimal schedule using a generation AI model, and means for using prompt statements when generating the schedule. This enables the automatic generation of an optimal plan based on the user's interests and schedule, as well as secure and efficient data communication.

[0067] A "personal information processing device" is a device that allows users to input and output information through direct operation, and primarily refers to a terminal.

[0068] A "computer network" refers to the communication infrastructure where information processing devices are connected and information is sent and received.

[0069] "Another person's information processing device" refers to an information processing device owned or operated by an individual other than the user.

[0070] A "generative AI model" is a program model that uses artificial intelligence technology to perform tasks such as data analysis and prediction.

[0071] A "prompt statement" is a command statement input to an AI model to prompt it to perform a specific action or generate something.

[0072] "Draft proposal" refers to a proposed plan or schedule presented to the user and related individuals.

[0073] A "communication protocol" is a set of rules and procedures that define how data can be safely and efficiently transferred between information processing devices.

[0074] This invention is a system that automatically processes user wishes and requests and generates and proposes an optimal schedule based on efficient and secure communication between the user, terminal, and server.

[0075] The user first uses a personal information processing device (terminal) to input their preferences and requests. For example, they might use an application on their smartphone or tablet to input something like, "I'd like to have dinner with friends during the first week of next month." In this case, an example of a prompt message might be, "Please suggest the best dinner plan based on the user's schedule and interests."

[0076] Upon receiving user input, the terminal, with the user's permission, transmits the information to the server via the computer network. To ensure secure data transfer, communication protocols such as HTTPS are used for this communication.

[0077] The server uses the received information to reference the user's schedule information and past interest data, and utilizes a generative AI model to generate the optimal schedule. This AI model analyzes the user's past behavior data and interest tags to create a list of suggested options. The generated schedule uses prompts to give specific instructions to the AI ​​model, ensuring that appropriate content is generated.

[0078] Furthermore, the server sends the generated candidate plans to the devices of friends and family members specified by the user, and AI agents on these devices match each user's schedule and interest information to generate feedback. The server aggregates all the feedback and uses a scoring algorithm to select the most appropriate plan.

[0079] Through the process described above, this invention efficiently and securely enables the automatic generation of schedules according to the user's wishes and coordination with relevant parties.

[0080] The flow of the specific processing in Example 1 will be explained using Figure 11.

[0081] Step 1:

[0082] Users input their wishes and requests through their devices. Specifically, they use the application's input form to write down their wishes, such as "I'd like to have dinner with friends during the first week of next month." The input data includes information such as the purpose, date and time, and participants.

[0083] Step 2:

[0084] The terminal receives data entered by the user and validates the input data. After confirming that it is in the correct format, it securely sends it to the server using HTTPS. The output of this process is data formatted in a way that the server can process.

[0085] Step 3:

[0086] The server analyzes the received data and retrieves the user's schedule data and past interests from the database. Next, it inputs the data into a generating AI model and generates optimal candidate plans using the prompt "Suggest the best meal plan based on the user's schedule and interests." The output is a list of candidate plans.

[0087] Step 4:

[0088] The server sends the generated candidate plans to the devices of the designated friends and family. The devices receive these plans, and their built-in AI agent matches the received data with each user's schedule and interest data. The output of this step is feedback from each device, including their willingness to participate and their evaluation.

[0089] Step 5:

[0090] The feedback is sent back to the server. The server aggregates all the feedback and uses a scoring algorithm to select the optimal plan. The output here is the final selected plan.

[0091] Step 6:

[0092] The server notifies the user of the optimal plan and sends the details to the user's device. The user receives the notification and confirms the plan details.

[0093] Step 7:

[0094] When a user approves a proposed plan, they notify the server of their approval via their device. Upon receiving the approval data, the server automatically proceeds with the booking process and notifies all relevant devices of the result. The final output of this step is a booking completion notification.

[0095] (Application Example 1)

[0096] Next, we will explain Application Example 1. In the following explanation, the data processing device 12 will be referred to as the "server," and the smart device 14 will be referred to as the "terminal."

[0097] When coordinating appointments among multiple users, the manual scheduling, booking, and payment processes are cumbersome, time-consuming, and cumbersome. There is a need for a system that can handle these procedures efficiently and securely.

[0098] The specific processing performed by the specific processing unit 290 of the data processing device 12 in Application Example 1 is realized by the following means.

[0099] In this invention, the server includes means for receiving a user's request via a personal information processing device, means for transmitting the request to multiple other information processing devices via a computer network, and means for automatically performing reservation and payment procedures when the proposed schedule is approved by the user. This allows the user to efficiently and securely coordinate schedules, make reservations, and make payments with others without having to go through complicated procedures.

[0100] A "personal information processing device" refers to a terminal device operated by a user, such as an electronic device like a smartphone or tablet.

[0101] A "means of receiving requests" refers to an element that has the function of acquiring schedules and requests from users.

[0102] "Means of transmission via computer networks" refers to functions that transmit information to other devices using the internet or other communication networks.

[0103] "A means of aggregating responses from other information processing devices and selecting the optimal plan" refers to a mechanism that compares multiple response pieces of information and selects the most suitable schedule or plan based on the given conditions.

[0104] "Means for automatically performing reservation and payment procedures" refers to a system that, based on user approval, confirms reservations and automatically completes the necessary payment processing.

[0105] "Means for notifying all relevant information processing devices" refers to a function for informing the user and all relevant parties of the reservation completion information.

[0106] An "algorithm that optimizes suggestions based on interest information and schedule information" is a computational method for generating optimal suggestions tailored to the user's individual interests and schedule.

[0107] "Secure transfer functionality" refers to the technology that uses encryption protocols to safely send and receive data.

[0108] The "function for securely processing payment information" refers to a mechanism for processing transaction information safely and accurately, and is useful in protecting users' payment information.

[0109] The system that implements this application example uses personal information processing devices such as smartphones and tablets to receive user requests, and a server handles the information processing. The server transmits the user's requests to other information processing devices via a computer network, aggregates the responses, and selects the most suitable schedule. The selected schedule is notified to the user, and once approved, the reservation and payment procedures are automatically performed.

[0110] The hardware used will include devices such as smartphones, tablets, and personal computers. The software will utilize React Native for the frontend, Node.js for the backend, and MongoDB for database management. The server will use these technologies to process user interest and schedule information and execute an algorithm to generate optimized suggestions.

[0111] For example, if a user enters a request such as "I want to see a movie with a friend during the first week of next month," the system will generate a list of suitable movie theaters and handle ticket booking and payment in one go. A prompt could be used in the form of, "Please suggest a good movie for me and my friend to see. Also, please check if it fits everyone's schedule, automatically book the theater, and complete the payment." In this way, users can efficiently schedule appointments without cumbersome procedures.

[0112] The flow of a specific process in Application Example 1 will be explained using Figure 12.

[0113] Step 1:

[0114] The user uses a personal information processing device to input their wishes and requests. For example, the user might input, "I want to see a movie with a friend during the first week of next month." This input data becomes the basis for the next processing step.

[0115] Step 2:

[0116] The terminal sends the user's input preferences to the server. The transmitted data includes preferences, user interest information, and schedule information. The server receives this data and parses it in preparation for the next processing step.

[0117] Step 3:

[0118] Based on the received data, the server generates candidate plans, taking into account interest information and schedule information. In this process, it utilizes a generation AI model to analyze past data and create optimal plan candidates. The generated candidate plans are then used in the next step.

[0119] Step 4:

[0120] The server sends the generated candidate plans to the relevant information processing devices of other users. The AI ​​agent then checks the plans sent to each device for consistency with the user's schedule and interests, and generates any necessary feedback.

[0121] Step 5:

[0122] The server aggregates feedback from other users' information processing devices. This feedback includes information such as whether schedule adjustments are possible and the degree of interest matching. Based on this feedback, the server performs data processing to select the optimal plan.

[0123] Step 6:

[0124] The server notifies the user's terminal of the selected optimal plan. The notification includes details of the selected plan, which the user can then review.

[0125] Step 7:

[0126] The user approves the notified plan. The approval process involves the user sending plan approval information from the device to the server. Upon receiving this information, the server acts as a trigger to initiate the next action.

[0127] Step 8:

[0128] The server automatically handles booking and payment procedures based on user approval. It calls the API of the partnered booking and payment system to confirm the booking and securely complete the payment process.

[0129] Step 9:

[0130] The server notifies the user and all related information processing devices that the reservation is complete. This notification updates all schedules, allowing the user and all their friends and family to confirm that the procedure is complete.

[0131] Furthermore, an emotion engine that estimates the user's emotions may be incorporated. That is, the identification processing unit 290 may use the emotion identification model 59 to estimate the user's emotions and perform identification processing using the user's emotions.

[0132] This invention provides a communication and scheduling management system using an emotion engine. Users can input desired events and appointments via a terminal. In this process, the emotion engine uses the user's input and the terminal's sensors to analyze the user's current emotional state.

[0133] This emotional information is sent to a server, which combines the user's emotional data with past schedule and interest information to generate optimal candidate plans. The server then sends multiple candidate plans to the user's family and friends' devices, and each device, based on the received plan and taking into account its own emotional state, decides whether or not to participate in the plan.

[0134] As a concrete example, consider a scenario where a user requests "I want to do something relaxing on the weekend." If the emotion engine determines the user's stress level is high, the server will prioritize suggesting plans that emphasize relaxation. For example, it might prioritize booking a spa or massage over watching a movie.

[0135] The selected plan is notified to the user, who then confirms whether they approve it. Based on the approved plan, the server automatically books events and activities, notifies the user and their registered family and friends of the event schedule, and reflects the sentiment information in their respective schedules.

[0136] Thus, the present invention optimizes communication suggestions by considering the user's emotional state using an emotion engine. This makes it possible for users to create schedules that are more comfortable and satisfying. Furthermore, by using a communication protocol, data can be securely transferred, ensuring a high level of privacy protection.

[0137] The following describes the processing flow.

[0138] Step 1:

[0139] The user enters details of their desired event or appointment into the device. During this process, the device utilizes internal sensors to extract emotional data from the user's voice tone, facial expressions, and touch patterns.

[0140] Step 2:

[0141] The device collects emotional data, converts it into a digital format, and sends it to the server along with the user's input information.

[0142] Step 3:

[0143] The server receives preference and sentiment data sent from the terminal and uses the user's past schedule information, interests, and sentiment data to create optimal activity suggestions.

[0144] Step 4:

[0145] The server generates activity suggestions and sends them to the user's family and friends' devices. This process is designed to take into account the emotional states of other users, as received through the emotion engine.

[0146] Step 5:

[0147] Family and friends' devices receive activity suggestions sent from the server, evaluate their likelihood of participation based on their respective user sentiment data, and send feedback back to the server.

[0148] Step 6:

[0149] The server aggregates all the feedback, selects the activity deemed most appropriate, and notifies the original user of the result on their device.

[0150] Step 7:

[0151] The user's device receives suggested activities from the server and displays the suggestions to the user. The user then chooses to accept or reject the suggestions.

[0152] Step 8:

[0153] If the user approves the activity, the device sends that information back to the server, which automatically executes the reservation or arrangement.

[0154] Step 9:

[0155] The server notifies the user and any family or friends involved after the reservation is complete, and each device then updates its schedule accordingly.

[0156] Step 10:

[0157] The device ultimately notifies the user of scheduled information and sets reminders as needed.

[0158] (Example 2)

[0159] Next, we will describe Example 2. In the following description, the data processing device 12 will be referred to as the "server" and the smart device 14 as the "terminal".

[0160] The present invention aims to improve user comfort and satisfaction by presenting more optimal schedule options while considering the user's emotional state and interests. Furthermore, there is a need for a system that automates schedule management while protecting user privacy through secure and efficient data exchange between personal information processing devices.

[0161] The identification process performed by the identification processing unit 290 of the data processing device 12 in Example 2 is realized by the following means.

[0162] In this invention, the server includes means for receiving a user's wishes via a personal information processing device, means for transmitting said wishes to multiple other information processing devices via a computer network, and means for aggregating responses from the other information processing devices and selecting the optimal schedule. This enables the generation, approval, and booking of an optimal schedule based on the user's emotional state.

[0163] A "personal information processing device" refers to a terminal device that a user can directly operate to input and receive data.

[0164] A "computer network" is a communication infrastructure that connects multiple information processing devices to send and receive data.

[0165] An "information processing device" is an electronic device designed for data processing, and includes servers and terminal devices.

[0166] "Emotional analysis means" refers to an analytical mechanism that quantifies or classifies the user's current emotional state based on their biometric information.

[0167] An "artificial intelligence model" is a computational model that generates specific results based on data, and includes technologies that apply machine learning, deep learning, and other similar techniques.

[0168] A "communication protocol" is a set of rules for securely and efficiently transferring data over a network.

[0169] This invention is a system that proposes an optimal schedule to the user through emotion analysis. This system is realized by receiving user data via a personal information processing device (hereinafter referred to as a terminal) and analyzing and processing it on a server.

[0170] First, the user inputs their desired event or activity through a device. This device could be a smartphone or tablet, and it can collect biometric information using an accelerometer or camera. The device then collects the user's heart rate and facial expression data and transmits it to an emotion analysis system.

[0171] The server analyzes the user's emotional state from biometric information received using emotion analysis tools. These tools incorporate machine learning algorithms and facial recognition technology, enabling the quantification of the user's stress level and happiness. The analysis results serve as input for running a generative AI model.

[0172] The generative AI model generates the optimal event plan based on the user's emotional state, past schedule data, and interest information. In this process, the server inputs prompts into the AI ​​model. By giving specific instructions such as, "When the user's emotional score is high stress, prioritize plans aimed at relaxation," the AI ​​outputs an appropriate plan.

[0173] As a concrete example, consider a scenario where a user enters into their device that they "want to do something relaxing on the weekend." The server uses the analyzed emotional information to generate a plan focused on relaxation, such as a spa or massage appointment. Once the user approves this plan, the server automatically completes the booking and notifies all information processing devices of the relevant data.

[0174] This invention makes it possible to help users plan a comfortable and stress-free daily life and improve their quality of life through personalized suggestions.

[0175] The flow of the specific processing in Example 2 will be explained using Figure 13.

[0176] Step 1:

[0177] Users input their desired events or activities as text via their device. The input data includes basic information such as the event name, date, time, and location. This data is then formatted within the device and prepared for transmission to the server.

[0178] Step 2:

[0179] The device preprocesses biometric data collected by its sensors for emotion analysis. Specifically, it uses image data and heart rate acquired by the device's camera and heart rate sensor to generate a basic dataset for analyzing the user's emotional state. This dataset includes information such as facial feature characteristics and heart rate fluctuations. The preprocessed data is then sent to the server.

[0180] Step 3:

[0181] The server receives text information and biometric data sent from the terminal. Next, it analyzes the biometric data using emotion analysis tools to calculate the user's emotion score. At this point, data is obtained that is quantified, for example, as stress level or happiness level. This emotion score is used in subsequent calculations in the AI ​​model.

[0182] Step 4:

[0183] The server inputs data into the generating AI model and instructs it to perform analysis with prompts. These prompts include instructions such as, "If the user's emotional score indicates high stress, prioritize relaxation-focused options." Based on the emotional score and the user's past schedule, the AI ​​model generates multiple event options tailored to the user. The output of this process provides details of each option.

[0184] Step 5:

[0185] The server sends the generated event proposals to the user's and their associated family and friends' devices. The devices display the received proposals to the user and provide a UI to prompt approval. The user can review the displayed proposals and select or approve the most suitable plan.

[0186] Step 6:

[0187] Once the user approves the proposal, the server automatically processes the event or activity reservation through the reservation system's API. Specifically, it confirms the completion of the selected activity reservation and notifies the user's device of the result. The reservation process can also be integrated with schedule management tools and other applications.

[0188] Step 7:

[0189] The server notifies all relevant information processing devices of the details of the confirmed event. Based on this information, the terminal automatically adds the event to the scheduling application and fixes it as part of the user's schedule. Additionally, the reminder function can be used to alert the user in advance, as needed.

[0190] (Application Example 2)

[0191] Next, we will explain application example 2. In the following explanation, the data processing device 12 will be referred to as a "server" and the smart device 14 as a "terminal".

[0192] Elderly individuals face challenges in engaging in appropriate activities that provide emotional fulfillment in their daily lives. Furthermore, family members and caregivers face challenges in understanding the emotional state of elderly individuals and providing optimal care. A support system is needed to address these challenges and enable both elderly individuals and caregivers to live with peace of mind.

[0193] The specific processing performed by the specific processing unit 290 of the data processing device 12 in Application Example 2 is realized by the following means.

[0194] In this invention, the server includes means for receiving the user's wishes and emotional state via a personal information processing device, means for transmitting the wishes and emotional state information to multiple other information processing devices via a computer network, and means for selecting the optimal schedule considering the emotional state of the other users and the user. This enables the suggestion of optimal activities to improve the emotional satisfaction of the elderly, and the sharing and implementation of care plans based on these suggestions.

[0195] A "personal information processing device" is a terminal device used by users to input their wishes and emotional states, and generally refers to smartphones and tablets.

[0196] "Desires" refer to specific requests regarding plans and activities that users would like to undertake.

[0197] "Emotional state" refers to information that indicates the user's current psychological and emotional condition, and is analyzed using data obtained from the device and user input.

[0198] A "computer network" refers to a network infrastructure used to send and receive data between information processing devices, and includes the internet.

[0199] "Others" refers to friends, family, or caregivers or other related parties who are involved in the user's wishes.

[0200] An "information processing device" is a device for receiving, transmitting, and processing data, and includes servers and personal devices.

[0201] "Draft plan" refers to a proposed activity schedule generated considering the user's wishes and emotional state.

[0202] "Selection" refers to the process of analyzing and judging the best option from multiple candidates to make a decision.

[0203] "Reservation action" refers to the process of scheduling a pre-determined activity as an actual activity and making reservations for related services or locations.

[0204] "Secure transfer" refers to a method of preventing unauthorized access or tampering by third parties during data transmission and reception using communication protocols.

[0205] The system that realizes this invention includes a server and a smartphone or tablet as a personal information processing device. The user inputs their wishes and emotional state using the smartphone. The emotional state is analyzed using biometric data acquired through sensors such as the device's camera and microphone. The data obtained here is processed through an emotion engine API to evaluate the user's psychological state.

[0206] The server transmits the user's wishes and emotional state to other information processing devices via the computer network. This makes it easier for all stakeholders to understand the overall plan based on the user's emotional state and wishes. Furthermore, by combining the output of the emotion engine with a generating AI model as needed, more advanced optimization is possible.

[0207] As a concrete example, consider a scenario where a user inputs, "I want to take a pleasant walk today." If the server analyzes that the user's current emotional state is relaxed, it will suggest the optimal walking route, taking into account the weather and past history. The resulting suggestion is then communicated to the user and relevant parties. If the user approves the suggested schedule, the server automatically makes reservations for the relevant services and facilities and sends the schedule to all participants.

[0208] Examples of prompts to input into a generative AI model are as follows:

[0209] "Please propose a schedule plan for seniors based on their emotional state. Their current emotional state is relaxed, and their past Sunday activity history includes reading."

[0210] The flow of a specific process in Application Example 2 will be explained using Figure 14.

[0211] Step 1:

[0212] Users input their preferences and emotional state using a dedicated smartphone app. This input includes text input from the user and biometric data collected from the device's sensors (e.g., heart rate, facial expression). Based on this, the emotion engine API analyzes the emotional state and outputs a specific emotional state such as "relaxed" or "stressed."

[0213] Step 2:

[0214] The terminal sends user preference and emotional state data acquired by the terminal to the server. The input data consists of user emotional information and desired activities analyzed by the emotion engine API. The server receives this data and prepares to perform the next processing in cooperation with other information processing devices.

[0215] Step 3:

[0216] The server uses a generative AI model to plan the optimal activity based on data from the user. Inputs include the user's emotional state, desired activities, and past history. The output generates multiple candidate plans tailored to the emotional state.

[0217] Step 4:

[0218] The server sends candidate plans generated by others (family members or caregivers) to their respective information processing devices. Each other's device uses the received plan to determine whether or not they can participate in the plan, reflecting their individual emotional state, and sends this decision back to the server. The input here is the candidate plan, and the output is the participation status information.

[0219] Step 5:

[0220] The server aggregates participation availability information collected from others and selects the most suitable plan. The input consists of participation availability information from others and optimized candidate plans. Based on this, the final plan proposed to the user is determined.

[0221] Step 6:

[0222] The server notifies the user of the final plan it has selected and requests their approval. The user then chooses to approve or reject the proposal and responds to the server. The input here is the final plan, and the output is the user's approval or rejection.

[0223] Step 7:

[0224] Based on the final plan approved by the user, the server automatically makes reservations for the relevant locations and services. The input is the approved final plan, and the output generates reservation completion information.

[0225] Step 8:

[0226] The server notifies all relevant information processing devices of the reservation completion information, and reflects this in each device's schedule. This ensures that everyone has a share of the feasible activity plan. The input is the reservation completion information, and the output is the updated schedule.

[0227] The specific processing unit 290 transmits the result of the specific processing to the smart device 14. In the smart device 14, the control unit 46A causes the output device 40 to output the result of the specific processing. The microphone 38B acquires audio indicating user input for the result of the specific processing. The control unit 46A transmits the audio data indicating user input acquired by the microphone 38B to the data processing device 12. In the data processing device 12, the specific processing unit 290 acquires the audio data.

[0228] Data generation model 58 is a so-called generative AI (Artificial Intelligence). An example of data generation model 58 is ChatGPT (registered trademark) (Internet search).<URL: https: / / openai.com / blog / chatgpt> ), Gemini (registered trademark) (Internet search) <url: https: gemini.google.com ?hl="ja">Examples of generative AI include the following. The data generation model 58 is obtained by performing deep learning on a neural network. The data generation model 58 is input with prompts containing instructions, and with inference data such as audio data representing speech, text data representing text, and image data representing images. The data generation model 58 infers from the input inference data according to the instructions indicated by the prompts, and outputs the inference results in data formats such as audio data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization.

[0229] In the above embodiment, an example was given in which specific processing is performed by the data processing device 12, but the technology of this disclosure is not limited thereto, and the specific processing may also be performed by the smart device 14.

[0230] [Second Embodiment]

[0231] Figure 3 shows an example of the configuration of the data processing system 210 according to the second embodiment.

[0232] As shown in Figure 3, the data processing system 210 includes a data processing device 12 and smart glasses 214. An example of the data processing device 12 is a server.

[0233] The data processing device 12 comprises a computer 22, a database 24, and a communication interface 26. The computer 22 is an example of a "computer" related to the technology of this disclosure. The computer 22 comprises a processor 28, RAM 30, and storage 32. The processor 28, RAM 30, and storage 32 are connected to a bus 34. The database 24 and the communication interface 26 are also connected to the bus 34. The communication interface 26 is connected to a network 54. An example of the network 54 is a WAN (Wide Area Network) and / or a LAN (Local Area Network).

[0234] The smart glasses 214 include a computer 36, a microphone 238, a speaker 240, a camera 42, and a communication interface 44. The computer 36 includes a processor 46, RAM 48, and storage 50. The processor 46, RAM 48, and storage 50 are connected to a bus 52. The microphone 238, speaker 240, and camera 42 are also connected to the bus 52.

[0235] The microphone 238 receives voice signals from the user 20 and receives instructions from the user 20. The microphone 238 captures the voice signals from the user 20, converts the captured voice into audio data, and outputs it to the processor 46. The speaker 240 outputs audio according to the instructions from the processor 46.

[0236] Camera 42 is a small digital camera equipped with an optical system including a lens, aperture, and shutter, and an image sensor such as a CMOS (Complementary Metal-Oxide-Semiconductor) image sensor or a CCD (Charge Coupled Device) image sensor, and captures images of the area around the user 20 (for example, an imaging range defined by a field of view equivalent to the width of a typical healthy person's field of vision).

[0237] Communication interface 44 is connected to network 54. Communication interfaces 44 and 26 are responsible for the exchange of various information between processor 46 and processor 28 via network 54. The exchange of various information between processor 46 and processor 28 using communication interfaces 44 and 26 is performed in a secure manner.

[0238] Figure 4 shows an example of the main functions of the data processing device 12 and the smart glasses 214. As shown in Figure 4, the data processing device 12 performs specific processing using the processor 28. The storage 32 stores the specific processing program 56.

[0239] The specific processing program 56 is an example of a "program" relating to the technology of this disclosure. The processor 28 reads the specific processing program 56 from the storage 32 and executes the read specific processing program 56 on the RAM 30. The specific processing is realized by the processor 28 operating as a specific processing unit 290 in accordance with the specific processing program 56 executed on the RAM 30.

[0240] The storage 32 stores the data generation model 58 and the emotion identification model 59. The data generation model 58 and the emotion identification model 59 are used by the identification processing unit 290.

[0241] In the smart glasses 214, the processor 46 performs the reception output processing. The storage 50 stores the reception output program 60. The processor 46 reads the reception output program 60 from the storage 50 and executes the read reception output program 60 on the RAM 48. The reception output processing is realized by the processor 46 operating as a control unit 46A according to the reception output program 60 executed on the RAM 48.

[0242] Next, the identification processing performed by the identification processing unit 290 of the data processing device 12 will be described. In the following description, the data processing device 12 will be referred to as the "server" and the smart glasses 214 will be referred to as the "terminal".

[0243] As an embodiment of the present invention, a communication process between a user, a terminal, and a server will be described. In this system, the user inputs their wishes and requests using the terminal. For example, one might assume the request is, "I would like to have dinner with a friend in the first week of next month."

[0244] The device receives the user's input and, with the user's permission, sends that information to the server. The server receives this information and generates suggested plans based on the user's schedule and past interests. The server then sends the corresponding suggested plans to the devices of friends and family members designated by the user.

[0245] The AI ​​agent on the friend's or family member's device receives this information and compares it with the user's schedule and interests. When this feedback is sent back to the server, the server aggregates all the feedback and selects the optimal plan. Once a plan is selected, the server notifies the original user of that plan.

[0246] When a user approves a plan, the device notifies the server of the approval. The server receives this information and automatically performs the necessary procedures, such as making a reservation. At the same time, it notifies the user and their registered friends and family that the reservation is complete and adds the event to the device's schedule and calendar.

[0247] This invention optimizes schedules according to the user's interests and needs using the proposed algorithm. Furthermore, it is designed to ensure secure data transfer by utilizing communication protocols, enabling efficient and secure communication. This significantly simplifies scheduling and communication among family and friends, making users' lives more convenient.

[0248] The following describes the processing flow.

[0249] Step 1:

[0250] The user enters details of the desired event into their device. This includes information such as the date and time of the event and the number of participants.

[0251] Step 2:

[0252] The terminal receives the user's input as digital data and prepares it for transmission to the server.

[0253] Step 3:

[0254] The server receives data sent from the terminal and analyzes the event preferences. It prepares to generate candidate plans, taking into account the user's past schedule and interests.

[0255] Step 4:

[0256] The server sends suggested plans to the user's friends and family's devices and requests each device to confirm the schedule.

[0257] Step 5:

[0258] Based on candidate plans received from the server by friends' and family members' devices, the system checks each user's schedule and interest data to determine if they can participate and whether they are interested.

[0259] Step 6:

[0260] Each terminal collects user feedback and sends it back to the server.

[0261] Step 7:

[0262] The server aggregates all the feedback and executes a process to select the most suitable plan.

[0263] Step 8:

[0264] The server sends the selected plan to the user's terminal and notifies the user. The user then indicates whether they approve or reject the plan.

[0265] Step 9:

[0266] If the user approves the plan, the device sends that information to the server.

[0267] Step 10:

[0268] The server automatically processes the reservation based on the approved plan and notifies all relevant parties on their devices of its completion.

[0269] Step 11:

[0270] The device adds the event to the user's schedule and provides the user with a final notification.

[0271] (Example 1)

[0272] Next, we will describe Example 1. In the following description, the data processing device 12 will be referred to as the "server," and the smart glasses 214 will be referred to as the "terminal."

[0273] Conventional scheduling systems made it difficult to select the optimal plan based on user interests and schedules, and required manual confirmation and adjustment when coordinating with multiple parties. Furthermore, there were issues with secure data transmission, making efficient and secure communication a challenge.

[0274] The identification process performed by the identification processing unit 290 of the data processing device 12 in Example 1 is realized by the following means.

[0275] In this invention, the server includes means for receiving user preferences via a personal information processing device, means for selecting the optimal schedule using a generation AI model, and means for using prompt statements when generating the schedule. This enables the automatic generation of an optimal plan based on the user's interests and schedule, as well as secure and efficient data communication.

[0276] A "personal information processing device" is a device that allows users to input and output information through direct operation, and primarily refers to a terminal.

[0277] A "computer network" refers to the communication infrastructure where information processing devices are connected and information is sent and received.

[0278] "Another person's information processing device" refers to an information processing device owned or operated by an individual other than the user.

[0279] The "generative AI model" is a program model for data analysis, prediction, etc. using artificial intelligence technology.

[0280] The "prompt text" is an instruction text input to prompt specific actions or generations for the AI model.

[0281] The "proposed plan" refers to a candidate plan or schedule to be presented to the user and related individuals.

[0282] The "communication protocol" is a regulation that defines agreements and procedures for securely and efficiently transferring data between information processing devices.

[0283] This invention is a system that automatically processes the wishes and requests of users and generates and proposes optimal proposed plans based on efficient and secure communication among the three parties of the user, terminal, and server.

[0284] First, the user uses a terminal, which is a personal information processing device, to input their wishes and requirements. For example, using an application on a smartphone or tablet to input "I want to have a dinner party with friends in the first week of next month". At this time, as an example of the prompt text, a command such as "Please propose an optimal dinner party plan based on the user's schedule and interests" is used.

[0285] When the terminal receives the user's input content, it obtains the user's permission and transmits the information to the server through the computer network. For this communication, a communication protocol such as HTTPS is used to achieve secure transfer of data.

[0286] Based on the received information, the server refers to the user's schedule information and past interest data, and uses the generative AI model to generate an optimal proposed plan. This AI model analyzes the user's past behavior data and interest tags to create a candidate list for proposal. The generated proposed plan uses the prompt text to give specific instructions to the AI model so that appropriate content is generated.

[0287] Furthermore, the server sends the generated candidate plans to the terminals of the friends and family specified by the user, and on these terminals, the AI agents match the schedules and interest information of each user to generate feedback. The server aggregates all the feedback and selects the most appropriate plan using a scoring algorithm.

[0288] Through the above process, this invention efficiently and securely realizes the automatic generation of schedules according to user wishes and the cooperation with relevant people.

[0289] The flow of the specific process in Example 1 will be described using FIG. 11.

[0290] Step 1:

[0291] The user inputs their wishes and requirements through the terminal. Specifically, using the input form of the application, the user fills in a wish such as "want to have a dinner with friends in the first week of next month". As input data, information such as the purpose, date and time, and participants is obtained.

[0292] Step 2:

[0293] The terminal receives the data input by the user and validates the input data. After confirming that it is in the correct format, it securely sends it to the server using HTTPS. The output of this process is data formatted in a form that the server can process.

[0294] Step 3:

[0295] The server analyzes the received data and obtains the user's schedule data and past interest data from the database. Next, it inputs the data into the generation AI model and uses the prompt sentence "Please propose the optimal dinner plan based on the user's schedule and interests" to generate an optimal candidate plan. As output, a list of candidate plans is obtained.

[0296] Step 4:

[0297] The server sends the generated candidate plans to the devices of the designated friends and family. The devices receive these plans, and their built-in AI agent matches the received data with each user's schedule and interest data. The output of this step is feedback from each device, including their willingness to participate and their evaluation.

[0298] Step 5:

[0299] The feedback is sent back to the server. The server aggregates all the feedback and uses a scoring algorithm to select the optimal plan. The output here is the final selected plan.

[0300] Step 6:

[0301] The server notifies the user of the optimal plan and sends the details to the user's device. The user receives the notification and confirms the plan details.

[0302] Step 7:

[0303] When a user approves a proposed plan, they notify the server of their approval via their device. Upon receiving the approval data, the server automatically proceeds with the booking process and notifies all relevant devices of the result. The final output of this step is a booking completion notification.

[0304] (Application Example 1)

[0305] Next, we will explain Application Example 1. In the following explanation, the data processing device 12 will be referred to as the "server," and the smart glasses 214 will be referred to as the "terminal."

[0306] Regarding the schedule adjustments, reservations, and payments to be coordinated among multiple users, there are issues such as manual schedule adjustments, reservations, and payments being cumbersome and requiring a lot of effort and time. Also, a system for performing these procedures efficiently and securely is required.

[0307] The specific processing by the specific processing unit 290 of the data processing device 12 in Application Example 1 is realized by the following means.

[0308] In this invention, the server includes means for receiving a user's request via a personal information processing device, means for transmitting the request to information processing devices of multiple other parties through a computer network, and means for automatically performing reservation operations and payment procedures when the proposed schedule is approved by the user. As a result, the user can omit complicated procedures and perform schedule adjustments, reservations, and settlements with others efficiently and securely.

[0309] The "personal information processing device" is a terminal device operated by the user and refers to electronic devices such as smartphones and tablet terminals.

[0310] The "means for receiving a request" is an element having a function of acquiring a schedule or requirements from the user.

[0311] The "means for transmitting through a computer network" is a function for transmitting information to other devices using the Internet or other communication networks.

[0312] The "means for aggregating responses from information processing devices of other parties and selecting an optimal proposed schedule" is a mechanism having a function of collating multiple response information and selecting a schedule or plan optimal for the conditions.

[0313] The "means for automatically performing reservation operations and payment procedures" is a mechanism for finalizing a reservation and automatically completing necessary payment processing based on the approval of the user.

[0314] "Means for notifying all relevant information processing devices" refers to a function for informing the user and all relevant parties of the reservation completion information.

[0315] An "algorithm that optimizes suggestions based on interest information and schedule information" is a computational method for generating optimal suggestions tailored to the user's individual interests and schedule.

[0316] "Secure transfer functionality" refers to the technology that uses encryption protocols to safely send and receive data.

[0317] The "function for securely processing payment information" refers to a mechanism for processing transaction information safely and accurately, and is useful in protecting users' payment information.

[0318] The system that implements this application example uses personal information processing devices such as smartphones and tablets to receive user requests, and a server handles the information processing. The server transmits the user's requests to other information processing devices via a computer network, aggregates the responses, and selects the most suitable schedule. The selected schedule is notified to the user, and once approved, the reservation and payment procedures are automatically performed.

[0319] The hardware used will include devices such as smartphones, tablets, and personal computers. The software will utilize React Native for the frontend, Node.js for the backend, and MongoDB for database management. The server will use these technologies to process user interest and schedule information and execute an algorithm to generate optimized suggestions.

[0320] For example, if a user enters a request such as "I want to see a movie with a friend during the first week of next month," the system will generate a list of suitable movie theaters and handle ticket booking and payment in one go. A prompt could be used in the form of, "Please suggest a good movie for me and my friend to see. Also, please check if it fits everyone's schedule, automatically book the theater, and complete the payment." In this way, users can efficiently schedule appointments without cumbersome procedures.

[0321] The flow of a specific process in Application Example 1 will be explained using Figure 12.

[0322] Step 1:

[0323] The user uses a personal information processing device to input their wishes and requests. For example, the user might input, "I want to see a movie with a friend during the first week of next month." This input data becomes the basis for the next processing step.

[0324] Step 2:

[0325] The terminal sends the user's input preferences to the server. The transmitted data includes preferences, user interest information, and schedule information. The server receives this data and parses it in preparation for the next processing step.

[0326] Step 3:

[0327] Based on the received data, the server generates candidate plans, taking into account interest information and schedule information. In this process, it utilizes a generation AI model to analyze past data and create optimal plan candidates. The generated candidate plans are then used in the next step.

[0328] Step 4:

[0329] The server sends the generated candidate plans to the relevant information processing devices of other users. The AI ​​agent then checks the plans sent to each device for consistency with the user's schedule and interests, and generates any necessary feedback.

[0330] Step 5:

[0331] The server aggregates feedback from other users' information processing devices. This feedback includes information such as whether schedule adjustments are possible and the degree of interest matching. Based on this feedback, the server performs data processing to select the optimal plan.

[0332] Step 6:

[0333] The server notifies the user's terminal of the selected optimal plan. The notification includes details of the selected plan, which the user can then review.

[0334] Step 7:

[0335] The user approves the notified plan. The approval process involves the user sending plan approval information from the device to the server. Upon receiving this information, the server acts as a trigger to initiate the next action.

[0336] Step 8:

[0337] The server automatically handles booking and payment procedures based on user approval. It calls the API of the partnered booking and payment system to confirm the booking and securely complete the payment process.

[0338] Step 9:

[0339] The server notifies the user and all related information processing devices that the reservation is complete. This notification updates all schedules, allowing the user and all their friends and family to confirm that the procedure is complete.

[0340] Furthermore, an emotion engine that estimates the user's emotions may be incorporated. That is, the identification processing unit 290 may use the emotion identification model 59 to estimate the user's emotions and perform identification processing using the user's emotions.

[0341] This invention provides a communication and scheduling management system using an emotion engine. Users can input desired events and appointments via a terminal. In this process, the emotion engine uses the user's input and the terminal's sensors to analyze the user's current emotional state.

[0342] This emotional information is sent to a server, which combines the user's emotional data with past schedule and interest information to generate optimal candidate plans. The server then sends multiple candidate plans to the user's family and friends' devices, and each device, based on the received plan and taking into account its own emotional state, decides whether or not to participate in the plan.

[0343] As a concrete example, consider a scenario where a user requests "I want to do something relaxing on the weekend." If the emotion engine determines the user's stress level is high, the server will prioritize suggesting plans that emphasize relaxation. For example, it might prioritize booking a spa or massage over watching a movie.

[0344] The selected plan is notified to the user, who then confirms whether they approve it. Based on the approved plan, the server automatically books events and activities, notifies the user and their registered family and friends of the event schedule, and reflects the sentiment information in their respective schedules.

[0345] Thus, the present invention optimizes communication suggestions by considering the user's emotional state using an emotion engine. This makes it possible for users to create schedules that are more comfortable and satisfying. Furthermore, by using a communication protocol, data can be securely transferred, ensuring a high level of privacy protection.

[0346] The following describes the processing flow.

[0347] Step 1:

[0348] The user enters details of their desired event or appointment into the device. During this process, the device utilizes internal sensors to extract emotional data from the user's voice tone, facial expressions, and touch patterns.

[0349] Step 2:

[0350] The device collects emotional data, converts it into a digital format, and sends it to the server along with the user's input information.

[0351] Step 3:

[0352] The server receives preference and sentiment data sent from the terminal and uses the user's past schedule information, interests, and sentiment data to create optimal activity suggestions.

[0353] Step 4:

[0354] The server generates activity suggestions and sends them to the user's family and friends' devices. This process is designed to take into account the emotional states of other users, as received through the emotion engine.

[0355] Step 5:

[0356] Family and friends' devices receive activity suggestions sent from the server, evaluate their likelihood of participation based on their respective user sentiment data, and send feedback back to the server.

[0357] Step 6:

[0358] The server aggregates all the feedback, selects the activity deemed most appropriate, and notifies the original user of the result on their device.

[0359] Step 7:

[0360] The user's device receives suggested activities from the server and displays the suggestions to the user. The user then chooses to accept or reject the suggestions.

[0361] Step 8:

[0362] If the user approves the activity, the device sends that information back to the server, which automatically executes the reservation or arrangement.

[0363] Step 9:

[0364] The server notifies the user and any family or friends involved after the reservation is complete, and each device then updates its schedule accordingly.

[0365] Step 10:

[0366] The device ultimately notifies the user of scheduled information and sets reminders as needed.

[0367] (Example 2)

[0368] Next, we will describe Example 2. In the following description, the data processing device 12 will be referred to as the "server" and the smart glasses 214 will be referred to as the "terminal".

[0369] The present invention aims to improve user comfort and satisfaction by presenting more optimal schedule options while considering the user's emotional state and interests. Furthermore, there is a need for a system that automates schedule management while protecting user privacy through secure and efficient data exchange between personal information processing devices.

[0370] The identification process performed by the identification processing unit 290 of the data processing device 12 in Example 2 is realized by the following means.

[0371] In this invention, the server includes means for receiving a user's wishes via a personal information processing device, means for transmitting said wishes to multiple other information processing devices via a computer network, and means for aggregating responses from the other information processing devices and selecting the optimal schedule. This enables the generation, approval, and booking of an optimal schedule based on the user's emotional state.

[0372] A "personal information processing device" refers to a terminal device that a user can directly operate to input and receive data.

[0373] A "computer network" is a communication infrastructure that connects multiple information processing devices to send and receive data.

[0374] An "information processing device" is an electronic device designed for data processing, and includes servers and terminal devices.

[0375] "Emotional analysis means" refers to an analytical mechanism that quantifies or classifies the user's current emotional state based on their biometric information.

[0376] An "artificial intelligence model" is a computational model that generates specific results based on data, and includes technologies that apply machine learning, deep learning, and other similar techniques.

[0377] A "communication protocol" is a set of rules for securely and efficiently transferring data over a network.

[0378] This invention is a system that proposes an optimal schedule to the user through emotion analysis. This system is realized by receiving user data via a personal information processing device (hereinafter referred to as a terminal) and analyzing and processing it on a server.

[0379] First, the user inputs their desired event or activity through a device. This device could be a smartphone or tablet, and it can collect biometric information using an accelerometer or camera. The device then collects the user's heart rate and facial expression data and transmits it to an emotion analysis system.

[0380] The server analyzes the user's emotional state from biometric information received using emotion analysis tools. These tools incorporate machine learning algorithms and facial recognition technology, enabling the quantification of the user's stress level and happiness. The analysis results serve as input for running a generative AI model.

[0381] The generative AI model generates the optimal event plan based on the user's emotional state, past schedule data, and interest information. In this process, the server inputs prompts into the AI ​​model. By giving specific instructions such as, "When the user's emotional score is high stress, prioritize plans aimed at relaxation," the AI ​​outputs an appropriate plan.

[0382] As a concrete example, consider a scenario where a user enters into their device that they "want to do something relaxing on the weekend." The server uses the analyzed emotional information to generate a plan focused on relaxation, such as a spa or massage appointment. Once the user approves this plan, the server automatically completes the booking and notifies all information processing devices of the relevant data.

[0383] This invention makes it possible to help users plan a comfortable and stress-free daily life and improve their quality of life through personalized suggestions.

[0384] The flow of the specific processing in Example 2 will be explained using Figure 13.

[0385] Step 1:

[0386] Users input their desired events or activities as text via their device. The input data includes basic information such as the event name, date, time, and location. This data is then formatted within the device and prepared for transmission to the server.

[0387] Step 2:

[0388] The device preprocesses biometric data collected by its sensors for emotion analysis. Specifically, it uses image data and heart rate acquired by the device's camera and heart rate sensor to generate a basic dataset for analyzing the user's emotional state. This dataset includes information such as facial feature characteristics and heart rate fluctuations. The preprocessed data is then sent to the server.

[0389] Step 3:

[0390] The server receives text information and biometric data sent from the terminal. Next, it analyzes the biometric data using emotion analysis tools to calculate the user's emotion score. At this point, data is obtained that is quantified, for example, as stress level or happiness level. This emotion score is used in subsequent calculations in the AI ​​model.

[0391] Step 4:

[0392] The server inputs data into the generating AI model and instructs it to perform analysis with prompts. These prompts include instructions such as, "If the user's emotional score indicates high stress, prioritize relaxation-focused options." Based on the emotional score and the user's past schedule, the AI ​​model generates multiple event options tailored to the user. The output of this process provides details of each option.

[0393] Step 5:

[0394] The server sends the generated event proposals to the user's and their associated family and friends' devices. The devices display the received proposals to the user and provide a UI to prompt approval. The user can review the displayed proposals and select or approve the most suitable plan.

[0395] Step 6:

[0396] Once the user approves the proposal, the server automatically processes the event or activity reservation through the reservation system's API. Specifically, it confirms the completion of the selected activity reservation and notifies the user's device of the result. The reservation process can also be integrated with schedule management tools and other applications.

[0397] Step 7:

[0398] The server notifies all relevant information processing devices of the details of the confirmed event. Based on this information, the terminal automatically adds the event to the scheduling application and fixes it as part of the user's schedule. Additionally, the reminder function can be used to alert the user in advance, as needed.

[0399] (Application Example 2)

[0400] Next, we will explain application example 2. In the following explanation, the data processing device 12 will be referred to as the "server," and the smart glasses 214 will be referred to as the "terminal."

[0401] Elderly individuals face challenges in engaging in appropriate activities that provide emotional fulfillment in their daily lives. Furthermore, family members and caregivers face challenges in understanding the emotional state of elderly individuals and providing optimal care. A support system is needed to address these challenges and enable both elderly individuals and caregivers to live with peace of mind.

[0402] The specific processing performed by the specific processing unit 290 of the data processing device 12 in Application Example 2 is realized by the following means.

[0403] In this invention, the server includes means for receiving the user's wishes and emotional state via a personal information processing device, means for transmitting the wishes and emotional state information to multiple other information processing devices via a computer network, and means for selecting the optimal schedule considering the emotional state of the other users and the user. This enables the suggestion of optimal activities to improve the emotional satisfaction of the elderly, and the sharing and implementation of care plans based on these suggestions.

[0404] A "personal information processing device" is a terminal device used by users to input their wishes and emotional states, and generally refers to smartphones and tablets.

[0405] "Desires" refer to specific requests regarding plans and activities that users would like to undertake.

[0406] "Emotional state" refers to information that indicates the user's current psychological and emotional condition, and is analyzed using data obtained from the device and user input.

[0407] A "computer network" refers to a network infrastructure used to send and receive data between information processing devices, and includes the internet.

[0408] "Others" refers to friends, family, or caregivers or other related parties who are involved in the user's wishes.

[0409] An "information processing device" is a device for receiving, transmitting, and processing data, and includes servers and personal devices.

[0410] "Draft plan" refers to a proposed activity schedule generated considering the user's wishes and emotional state.

[0411] "Selection" refers to the process of analyzing and judging the best option from multiple candidates to make a decision.

[0412] "Reservation action" refers to the process of scheduling a pre-determined activity as an actual activity and making reservations for related services or locations.

[0413] "Secure transfer" refers to a method of preventing unauthorized access or tampering by third parties during data transmission and reception using communication protocols.

[0414] The system that realizes this invention includes a server and a smartphone or tablet as a personal information processing device. The user inputs their wishes and emotional state using the smartphone. The emotional state is analyzed using biometric data acquired through sensors such as the device's camera and microphone. The data obtained here is processed through an emotion engine API to evaluate the user's psychological state.

[0415] The server transmits the user's wishes and emotional state to other information processing devices via the computer network. This makes it easier for all stakeholders to understand the overall plan based on the user's emotional state and wishes. Furthermore, by combining the output of the emotion engine with a generating AI model as needed, more advanced optimization is possible.

[0416] As a concrete example, consider a scenario where a user inputs, "I want to take a pleasant walk today." If the server analyzes that the user's current emotional state is relaxed, it will suggest the optimal walking route, taking into account the weather and past history. The resulting suggestion is then communicated to the user and relevant parties. If the user approves the suggested schedule, the server automatically makes reservations for the relevant services and facilities and sends the schedule to all participants.

[0417] Examples of prompts to input into a generative AI model are as follows:

[0418] "Please propose a schedule plan for seniors based on their emotional state. Their current emotional state is relaxed, and their past Sunday activity history includes reading."

[0419] The flow of a specific process in Application Example 2 will be explained using Figure 14.

[0420] Step 1:

[0421] Users input their preferences and emotional state using a dedicated smartphone app. This input includes text input from the user and biometric data collected from the device's sensors (e.g., heart rate, facial expression). Based on this, the emotion engine API analyzes the emotional state and outputs a specific emotional state such as "relaxed" or "stressed."

[0422] Step 2:

[0423] The terminal sends user preference and emotional state data acquired by the terminal to the server. The input data consists of user emotional information and desired activities analyzed by the emotion engine API. The server receives this data and prepares to perform the next processing in cooperation with other information processing devices.

[0424] Step 3:

[0425] The server uses a generative AI model to plan the optimal activity based on data from the user. Inputs include the user's emotional state, desired activities, and past history. The output generates multiple candidate plans tailored to the emotional state.

[0426] Step 4:

[0427] The server sends candidate plans generated by others (family members or caregivers) to their respective information processing devices. Each other's device uses the received plan to determine whether or not they can participate in the plan, reflecting their individual emotional state, and sends this decision back to the server. The input here is the candidate plan, and the output is the participation status information.

[0428] Step 5:

[0429] The server aggregates participation availability information collected from others and selects the most suitable plan. The input consists of participation availability information from others and optimized candidate plans. Based on this, the final plan proposed to the user is determined.

[0430] Step 6:

[0431] The server notifies the user of the final plan it has selected and requests their approval. The user then chooses to approve or reject the proposal and responds to the server. The input here is the final plan, and the output is the user's approval or rejection.

[0432] Step 7:

[0433] Based on the final plan approved by the user, the server automatically makes reservations for the relevant locations and services. The input is the approved final plan, and the output generates reservation completion information.

[0434] Step 8:

[0435] The server notifies all relevant information processing devices of the reservation completion information, and reflects this in each device's schedule. This ensures that everyone has a share of the feasible activity plan. The input is the reservation completion information, and the output is the updated schedule.

[0436] The specific processing unit 290 transmits the result of the specific processing to the smart glasses 214. In the smart glasses 214, the control unit 46A causes the speaker 240 to output the result of the specific processing. The microphone 238 acquires audio indicating user input for the result of the specific processing. The control unit 46A transmits the audio data indicating user input acquired by the microphone 238 to the data processing unit 12. In the data processing unit 12, the specific processing unit 290 acquires the audio data.

[0437] Data generation model 58 is a type of so-called generative AI (Artificial Intelligence). One example of data generation model 58 is ChatGPT (Internet search<URL: https: / / openai.com / blog / chatgpt> ), Gemini (Internet search) <url: https: gemini.google.com ?hl="ja">Examples of generative AI include the following. The data generation model 58 is obtained by performing deep learning on a neural network. The data generation model 58 is input with prompts containing instructions, and with inference data such as audio data representing speech, text data representing text, and image data representing images. The data generation model 58 infers from the input inference data according to the instructions indicated by the prompts, and outputs the inference results in data formats such as audio data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization.

[0438] In the above embodiment, an example was given in which specific processing is performed by the data processing device 12, but the technology of this disclosure is not limited thereto, and the specific processing may also be performed by the smart glasses 214.

[0439] [Third Embodiment]

[0440] Figure 5 shows an example of the configuration of the data processing system 310 according to the third embodiment.

[0441] As shown in Figure 5, the data processing system 310 includes a data processing device 12 and a headset terminal 314. An example of the data processing device 12 is a server.

[0442] The data processing device 12 comprises a computer 22, a database 24, and a communication interface 26. The computer 22 is an example of a "computer" related to the technology of this disclosure. The computer 22 comprises a processor 28, RAM 30, and storage 32. The processor 28, RAM 30, and storage 32 are connected to a bus 34. The database 24 and the communication interface 26 are also connected to the bus 34. The communication interface 26 is connected to a network 54. An example of the network 54 is a WAN (Wide Area Network) and / or a LAN (Local Area Network).

[0443] The headset terminal 314 includes a computer 36, a microphone 238, a speaker 240, a camera 42, a communication interface 44, and a display 343. The computer 36 includes a processor 46, RAM 48, and storage 50. The processor 46, RAM 48, and storage 50 are connected to a bus 52. The microphone 238, speaker 240, camera 42, and display 343 are also connected to the bus 52.

[0444] The microphone 238 receives voice signals from the user 20 and receives instructions from the user 20. The microphone 238 captures the voice signals from the user 20, converts the captured voice into audio data, and outputs it to the processor 46. The speaker 240 outputs audio according to the instructions from the processor 46.

[0445] Camera 42 is a small digital camera equipped with an optical system including a lens, aperture, and shutter, and an image sensor such as a CMOS (Complementary Metal-Oxide-Semiconductor) image sensor or a CCD (Charge Coupled Device) image sensor, and captures images of the area around the user 20 (for example, an imaging range defined by a field of view equivalent to the width of a typical healthy person's field of vision).

[0446] Communication interface 44 is connected to network 54. Communication interfaces 44 and 26 are responsible for the exchange of various information between processor 46 and processor 28 via network 54. The exchange of various information between processor 46 and processor 28 using communication interfaces 44 and 26 is performed in a secure manner.

[0447] Figure 6 shows an example of the main functions of the data processing device 12 and the headset terminal 314. As shown in Figure 6, the data processing device 12 performs specific processing using the processor 28. The storage 32 stores the specific processing program 56.

[0448] The specific processing program 56 is an example of a "program" relating to the technology of this disclosure. The processor 28 reads the specific processing program 56 from the storage 32 and executes the read specific processing program 56 on the RAM 30. The specific processing is realized by the processor 28 operating as a specific processing unit 290 in accordance with the specific processing program 56 executed on the RAM 30.

[0449] The storage 32 stores the data generation model 58 and the emotion identification model 59. The data generation model 58 and the emotion identification model 59 are used by the identification processing unit 290.

[0450] In the headset terminal 314, the processor 46 performs the reception output processing. The storage 50 stores the reception output program 60. The processor 46 reads the reception output program 60 from the storage 50 and executes the read reception output program 60 on the RAM 48. The reception output processing is realized by the processor 46 operating as a control unit 46A according to the reception output program 60 executed on the RAM 48.

[0451] Next, the specific processing performed by the specific processing unit 290 of the data processing device 12 will be described. In the following description, the data processing device 12 will be referred to as the "server" and the headset terminal 314 will be referred to as the "terminal".

[0452] As an embodiment of the present invention, a communication process between a user, a terminal, and a server will be described. In this system, the user inputs their wishes and requests using the terminal. For example, one might assume the request is, "I would like to have dinner with a friend in the first week of next month."

[0453] The device receives the user's input and, with the user's permission, sends that information to the server. The server receives this information and generates suggested plans based on the user's schedule and past interests. The server then sends the corresponding suggested plans to the devices of friends and family members designated by the user.

[0454] The AI ​​agent on the friend's or family member's device receives this information and compares it with the user's schedule and interests. When this feedback is sent back to the server, the server aggregates all the feedback and selects the optimal plan. Once a plan is selected, the server notifies the original user of that plan.

[0455] When a user approves a plan, the device notifies the server of the approval. The server receives this information and automatically performs the necessary procedures, such as making a reservation. At the same time, it notifies the user and their registered friends and family that the reservation is complete and adds the event to the device's schedule and calendar.

[0456] This invention optimizes schedules according to the user's interests and needs using the proposed algorithm. Furthermore, it is designed to ensure secure data transfer by utilizing communication protocols, enabling efficient and secure communication. This significantly simplifies scheduling and communication among family and friends, making users' lives more convenient.

[0457] The following describes the processing flow.

[0458] Step 1:

[0459] The user enters details of the desired event into their device. This includes information such as the date and time of the event and the number of participants.

[0460] Step 2:

[0461] The terminal receives the user's input as digital data and prepares it for transmission to the server.

[0462] Step 3:

[0463] The server receives data sent from the terminal and analyzes the event preferences. It prepares to generate candidate plans, taking into account the user's past schedule and interests.

[0464] Step 4:

[0465] The server sends suggested plans to the user's friends and family's devices and requests each device to confirm the schedule.

[0466] Step 5:

[0467] Based on candidate plans received from the server by friends' and family members' devices, the system checks each user's schedule and interest data to determine if they can participate and whether they are interested.

[0468] Step 6:

[0469] Each terminal collects user feedback and sends it back to the server.

[0470] Step 7:

[0471] The server aggregates all the feedback and executes a process to select the most suitable plan.

[0472] Step 8:

[0473] The server sends the selected plan to the user's terminal and notifies the user. The user then indicates whether they approve or reject the plan.

[0474] Step 9:

[0475] If the user approves the plan, the device sends that information to the server.

[0476] Step 10:

[0477] The server automatically processes the reservation based on the approved plan and notifies all relevant parties on their devices of its completion.

[0478] Step 11:

[0479] The device adds the event to the user's schedule and provides the user with a final notification.

[0480] (Example 1)

[0481] Next, we will describe Example 1. In the following description, the data processing device 12 will be referred to as the "server," and the headset-type terminal 314 will be referred to as the "terminal."

[0482] Conventional scheduling systems made it difficult to select the optimal plan based on user interests and schedules, and required manual confirmation and adjustment when coordinating with multiple parties. Furthermore, there were issues with secure data transmission, making efficient and secure communication a challenge.

[0483] The identification process performed by the identification processing unit 290 of the data processing device 12 in Example 1 is realized by the following means.

[0484] In this invention, the server includes means for receiving user preferences via a personal information processing device, means for selecting the optimal schedule using a generation AI model, and means for using prompt statements when generating the schedule. This enables the automatic generation of an optimal plan based on the user's interests and schedule, as well as secure and efficient data communication.

[0485] A "personal information processing device" is a device that allows users to input and output information through direct operation, and primarily refers to a terminal.

[0486] A "computer network" refers to the communication infrastructure where information processing devices are connected and information is sent and received.

[0487] "Another person's information processing device" refers to an information processing device owned or operated by an individual other than the user.

[0488] A "generative AI model" is a program model that uses artificial intelligence technology to perform tasks such as data analysis and prediction.

[0489] A "prompt statement" is a command statement input to an AI model to prompt it to perform a specific action or generate something.

[0490] "Draft proposal" refers to a proposed plan or schedule presented to the user and related individuals.

[0491] A "communication protocol" is a set of rules and procedures that define how data can be safely and efficiently transferred between information processing devices.

[0492] This invention is a system that automatically processes user wishes and requests and generates and proposes an optimal schedule based on efficient and secure communication between the user, terminal, and server.

[0493] The user first uses a personal information processing device (terminal) to input their preferences and requests. For example, they might use an application on their smartphone or tablet to input something like, "I'd like to have dinner with friends during the first week of next month." In this case, an example of a prompt message might be, "Please suggest the best dinner plan based on the user's schedule and interests."

[0494] Upon receiving user input, the terminal, with the user's permission, transmits the information to the server via the computer network. To ensure secure data transfer, communication protocols such as HTTPS are used for this communication.

[0495] The server uses the received information to reference the user's schedule information and past interest data, and utilizes a generative AI model to generate the optimal schedule. This AI model analyzes the user's past behavior data and interest tags to create a list of suggested options. The generated schedule uses prompts to give specific instructions to the AI ​​model, ensuring that appropriate content is generated.

[0496] Furthermore, the server sends the generated candidate plans to the devices of friends and family members specified by the user, and AI agents on these devices match each user's schedule and interest information to generate feedback. The server aggregates all the feedback and uses a scoring algorithm to select the most appropriate plan.

[0497] Through the process described above, this invention efficiently and securely enables the automatic generation of schedules according to the user's wishes and coordination with relevant parties.

[0498] The flow of the specific processing in Example 1 will be explained using Figure 11.

[0499] Step 1:

[0500] Users input their wishes and requests through their devices. Specifically, they use the application's input form to write down a wish such as, "I'd like to have dinner with friends during the first week of next month." The input data includes information such as the purpose, date and time, and participants.

[0501] Step 2:

[0502] The terminal receives data entered by the user and validates the input data. After confirming that it is in the correct format, it securely sends it to the server using HTTPS. The output of this process is data formatted in a way that the server can process.

[0503] Step 3:

[0504] The server analyzes the received data and retrieves the user's schedule data and past interests from the database. Next, it inputs the data into a generating AI model and generates optimal candidate plans using the prompt "Suggest the best meal plan based on the user's schedule and interests." The output is a list of candidate plans.

[0505] Step 4:

[0506] The server sends the generated candidate plans to the devices of the designated friends and family. The devices receive these plans, and their built-in AI agent matches the received data with each user's schedule and interest data. The output of this step is feedback from each device, including their willingness to participate and their evaluation.

[0507] Step 5:

[0508] The feedback is sent back to the server. The server aggregates all the feedback and uses a scoring algorithm to select the optimal plan. The output here is the final selected plan.

[0509] Step 6:

[0510] The server notifies the user of the optimal plan and sends the details to the user's device. The user receives the notification and confirms the plan details.

[0511] Step 7:

[0512] When a user approves a proposed plan, they notify the server of their approval via their device. Upon receiving the approval data, the server automatically proceeds with the booking process and notifies all relevant devices of the result. The final output of this step is a booking completion notification.

[0513] (Application Example 1)

[0514] Next, we will explain Application Example 1. In the following explanation, the data processing device 12 will be referred to as the "server," and the headset-type terminal 314 will be referred to as the "terminal."

[0515] When coordinating appointments among multiple users, the manual scheduling, booking, and payment processes are cumbersome, time-consuming, and cumbersome. There is a need for a system that can handle these procedures efficiently and securely.

[0516] The specific processing performed by the specific processing unit 290 of the data processing device 12 in Application Example 1 is realized by the following means.

[0517] In this invention, the server includes means for receiving a user's request via a personal information processing device, means for transmitting the request to multiple other information processing devices via a computer network, and means for automatically performing reservation and payment procedures when the proposed schedule is approved by the user. This allows the user to efficiently and securely coordinate schedules, make reservations, and make payments with others without having to go through complicated procedures.

[0518] A "personal information processing device" refers to a terminal device operated by a user, such as an electronic device like a smartphone or tablet.

[0519] A "means of receiving requests" refers to an element that has the function of acquiring schedules and requests from users.

[0520] "Means of transmission via computer networks" refers to functions that transmit information to other devices using the internet or other communication networks.

[0521] "A means of aggregating responses from other information processing devices and selecting the optimal plan" refers to a mechanism that compares multiple response pieces of information and selects the most suitable schedule or plan based on the given conditions.

[0522] "Means for automatically performing reservation and payment procedures" refers to a system that, based on user approval, confirms reservations and automatically completes the necessary payment processing.

[0523] "Means for notifying all relevant information processing devices" refers to a function for informing the user and all relevant parties of the reservation completion information.

[0524] An "algorithm that optimizes suggestions based on interest information and schedule information" is a computational method for generating optimal suggestions tailored to the user's individual interests and schedule.

[0525] "Secure transfer functionality" refers to the technology that uses encryption protocols to safely send and receive data.

[0526] The "function for securely processing payment information" refers to a mechanism for processing transaction information safely and accurately, and is useful in protecting users' payment information.

[0527] The system that implements this application example uses personal information processing devices such as smartphones and tablets to receive user requests, and a server handles the information processing. The server transmits the user's requests to other information processing devices via a computer network, aggregates the responses, and selects the most suitable schedule. The selected schedule is notified to the user, and once approved, the reservation and payment procedures are automatically performed.

[0528] The hardware used will include devices such as smartphones, tablets, and personal computers. The software will utilize React Native for the frontend, Node.js for the backend, and MongoDB for database management. The server will use these technologies to process user interest and schedule information and execute an algorithm to generate optimized suggestions.

[0529] For example, if a user enters a request such as "I want to see a movie with a friend during the first week of next month," the system will generate a list of suitable movie theaters and handle ticket booking and payment in one go. A prompt could be used in the form of, "Please suggest a good movie for me and my friend to see. Also, please check if it fits everyone's schedule, automatically book the theater, and complete the payment." In this way, users can efficiently schedule appointments without cumbersome procedures.

[0530] The flow of a specific process in Application Example 1 will be explained using Figure 12.

[0531] Step 1:

[0532] The user uses a personal information processing device to input their wishes and requests. For example, the user might input, "I want to see a movie with a friend during the first week of next month." This input data becomes the basis for the next processing step.

[0533] Step 2:

[0534] The terminal sends the user's input preferences to the server. The transmitted data includes preferences, user interest information, and schedule information. The server receives this data and parses it in preparation for the next processing step.

[0535] Step 3:

[0536] Based on the received data, the server generates candidate plans, taking into account interest information and schedule information. In this process, it utilizes a generation AI model to analyze past data and create optimal plan candidates. The generated candidate plans are then used in the next step.

[0537] Step 4:

[0538] The server sends the generated candidate plans to the relevant information processing devices of other users. The AI ​​agent then checks the plans sent to each device for consistency with the user's schedule and interests, and generates any necessary feedback.

[0539] Step 5:

[0540] The server aggregates feedback from other users' information processing devices. This feedback includes information such as whether schedule adjustments are possible and the degree of interest matching. Based on this feedback, the server performs data processing to select the optimal plan.

[0541] Step 6:

[0542] The server notifies the user's terminal of the selected optimal plan. The notification includes details of the selected plan, which the user can then review.

[0543] Step 7:

[0544] The user approves the notified plan. The approval process involves the user sending plan approval information from the device to the server. Upon receiving this information, the server acts as a trigger to initiate the next action.

[0545] Step 8:

[0546] The server automatically handles booking and payment procedures based on user approval. It calls the API of the partnered booking and payment system to confirm the booking and securely complete the payment process.

[0547] Step 9:

[0548] The server notifies the user and all related information processing devices that the reservation is complete. This notification updates all schedules, allowing the user and all their friends and family to confirm that the procedure is complete.

[0549] Furthermore, an emotion engine that estimates the user's emotions may be incorporated. That is, the identification processing unit 290 may use the emotion identification model 59 to estimate the user's emotions and perform identification processing using the user's emotions.

[0550] This invention provides a communication and scheduling management system using an emotion engine. Users can input desired events and appointments via a terminal. In this process, the emotion engine uses the user's input and the terminal's sensors to analyze the user's current emotional state.

[0551] This emotional information is sent to a server, which combines the user's emotional data with past schedule and interest information to generate optimal candidate plans. The server then sends multiple candidate plans to the user's family and friends' devices, and each device, based on the received plan and taking into account its own emotional state, decides whether or not to participate in the plan.

[0552] As a concrete example, consider a scenario where a user requests "I want to do something relaxing on the weekend." If the emotion engine determines the user's stress level is high, the server will prioritize suggesting plans that emphasize relaxation. For example, it might prioritize booking a spa or massage over watching a movie.

[0553] The selected plan is notified to the user, who then confirms whether they approve it. Based on the approved plan, the server automatically books events and activities, notifies the user and their registered family and friends of the event schedule, and reflects the sentiment information in their respective schedules.

[0554] Thus, the present invention optimizes communication suggestions by considering the user's emotional state using an emotion engine. This makes it possible for users to create schedules that are more comfortable and satisfying. Furthermore, by using a communication protocol, data can be securely transferred, ensuring a high level of privacy protection.

[0555] The following describes the processing flow.

[0556] Step 1:

[0557] The user enters details of their desired event or appointment into the device. During this process, the device utilizes internal sensors to extract emotional data from the user's voice tone, facial expressions, and touch patterns.

[0558] Step 2:

[0559] The device collects emotional data, converts it into a digital format, and sends it to the server along with the user's input information.

[0560] Step 3:

[0561] The server receives preference and sentiment data sent from the terminal and uses the user's past schedule information, interests, and sentiment data to create optimal activity suggestions.

[0562] Step 4:

[0563] The server generates activity suggestions and sends them to the user's family and friends' devices. This process is designed to take into account the emotional states of other users, as received through the emotion engine.

[0564] Step 5:

[0565] Family and friends' devices receive activity suggestions sent from the server, evaluate their likelihood of participation based on their respective user sentiment data, and send feedback back to the server.

[0566] Step 6:

[0567] The server aggregates all the feedback, selects the activity deemed most appropriate, and notifies the original user of the result on their device.

[0568] Step 7:

[0569] The user's device receives suggested activities from the server and displays the suggestions to the user. The user then chooses to accept or reject the suggestions.

[0570] Step 8:

[0571] If the user approves the activity, the device sends that information back to the server, which automatically executes the reservation or arrangement.

[0572] Step 9:

[0573] The server notifies the user and any family or friends involved after the reservation is complete, and each device then updates its schedule accordingly.

[0574] Step 10:

[0575] The device ultimately notifies the user of scheduled information and sets reminders as needed.

[0576] (Example 2)

[0577] Next, we will describe Example 2. In the following description, the data processing device 12 will be referred to as the "server," and the headset-type terminal 314 will be referred to as the "terminal."

[0578] The present invention aims to improve user comfort and satisfaction by presenting more optimal schedule options while considering the user's emotional state and interests. Furthermore, there is a need for a system that automates schedule management while protecting user privacy through secure and efficient data exchange between personal information processing devices.

[0579] The identification process performed by the identification processing unit 290 of the data processing device 12 in Example 2 is realized by the following means.

[0580] In this invention, the server includes means for receiving a user's wishes via a personal information processing device, means for transmitting said wishes to multiple other information processing devices via a computer network, and means for aggregating responses from the other information processing devices and selecting the optimal schedule. This enables the generation, approval, and booking of an optimal schedule based on the user's emotional state.

[0581] A "personal information processing device" refers to a terminal device that a user can directly operate to input and receive data.

[0582] A "computer network" is a communication infrastructure that connects multiple information processing devices to send and receive data.

[0583] An "information processing device" is an electronic device designed for data processing, and includes servers and terminal devices.

[0584] "Emotional analysis means" refers to an analytical mechanism that quantifies or classifies the user's current emotional state based on their biometric information.

[0585] An "artificial intelligence model" is a computational model that generates specific results based on data, and includes technologies that apply machine learning, deep learning, and other similar techniques.

[0586] A "communication protocol" is a set of rules for securely and efficiently transferring data over a network.

[0587] This invention is a system that proposes an optimal schedule to the user through emotion analysis. This system is realized by receiving user data via a personal information processing device (hereinafter referred to as a terminal) and analyzing and processing it on a server.

[0588] First, the user inputs their desired event or activity through a device. This device could be a smartphone or tablet, and it can collect biometric information using an accelerometer or camera. The device then collects the user's heart rate and facial expression data and transmits it to an emotion analysis system.

[0589] The server analyzes the user's emotional state from biometric information received using emotion analysis tools. These tools incorporate machine learning algorithms and facial recognition technology, enabling the quantification of the user's stress level and happiness. The analysis results serve as input for running a generative AI model.

[0590] The generative AI model generates the optimal event plan based on the user's emotional state, past schedule data, and interest information. In this process, the server inputs prompts into the AI ​​model. By giving specific instructions such as, "When the user's emotional score is high stress, prioritize plans aimed at relaxation," the AI ​​outputs an appropriate plan.

[0591] As a concrete example, consider a scenario where a user enters into their device that they "want to do something relaxing on the weekend." The server uses the analyzed emotional information to generate a plan focused on relaxation, such as a spa or massage appointment. Once the user approves this plan, the server automatically completes the booking and notifies all information processing devices of the relevant data.

[0592] This invention makes it possible to help users plan a comfortable and stress-free daily life and improve their quality of life through personalized suggestions.

[0593] The flow of the specific processing in Example 2 will be explained using Figure 13.

[0594] Step 1:

[0595] Users input their desired events or activities as text via their device. The input data includes basic information such as the event name, date, time, and location. This data is then formatted within the device and prepared for transmission to the server.

[0596] Step 2:

[0597] The device preprocesses biometric data collected by its sensors for emotion analysis. Specifically, it uses image data and heart rate acquired by the device's camera and heart rate sensor to generate a basic dataset for analyzing the user's emotional state. This dataset includes information such as facial feature characteristics and heart rate fluctuations. The preprocessed data is then sent to the server.

[0598] Step 3:

[0599] The server receives text information and biometric data sent from the terminal. Next, it analyzes the biometric data using emotion analysis tools to calculate the user's emotion score. At this point, data is obtained that is quantified, for example, as stress level or happiness level. This emotion score is used in subsequent calculations in the AI ​​model.

[0600] Step 4:

[0601] The server inputs data into the generating AI model and instructs it to perform analysis with prompts. These prompts include instructions such as, "If the user's emotional score indicates high stress, prioritize relaxation-focused options." Based on the emotional score and the user's past schedule, the AI ​​model generates multiple event options tailored to the user. The output of this process provides details of each option.

[0602] Step 5:

[0603] The server sends the generated event proposals to the user's and their associated family and friends' devices. The devices display the received proposals to the user and provide a UI to prompt approval. The user can review the displayed proposals and select or approve the most suitable plan.

[0604] Step 6:

[0605] Once the user approves the proposal, the server automatically processes the event or activity reservation through the reservation system's API. Specifically, it confirms the completion of the selected activity reservation and notifies the user's device of the result. The reservation process can also be integrated with schedule management tools and other applications.

[0606] Step 7:

[0607] The server notifies all relevant information processing devices of the details of the confirmed event. Based on this information, the terminal automatically adds the event to the scheduling application and fixes it as part of the user's schedule. Additionally, the reminder function can be used to alert the user in advance, as needed.

[0608] (Application Example 2)

[0609] Next, we will explain application example 2. In the following explanation, the data processing device 12 will be referred to as the "server," and the headset-type terminal 314 will be referred to as the "terminal."

[0610] Elderly individuals face challenges in engaging in appropriate activities that provide emotional fulfillment in their daily lives. Furthermore, family members and caregivers face challenges in understanding the emotional state of elderly individuals and providing optimal care. A support system is needed to address these challenges and enable both elderly individuals and caregivers to live with peace of mind.

[0611] The specific processing performed by the specific processing unit 290 of the data processing device 12 in Application Example 2 is realized by the following means.

[0612] In this invention, the server includes means for receiving the user's wishes and emotional state via a personal information processing device, means for transmitting the wishes and emotional state information to multiple other information processing devices via a computer network, and means for selecting the optimal schedule considering the emotional state of the other users and the user. This enables the suggestion of optimal activities to improve the emotional satisfaction of the elderly, and the sharing and implementation of care plans based on these suggestions.

[0613] A "personal information processing device" is a terminal device used by users to input their wishes and emotional states, and generally refers to smartphones and tablets.

[0614] "Desires" refer to specific requests regarding plans and activities that users would like to undertake.

[0615] "Emotional state" refers to information that indicates the user's current psychological and emotional condition, and is analyzed using data obtained from the device and user input.

[0616] A "computer network" refers to a network infrastructure used to send and receive data between information processing devices, and includes the internet.

[0617] "Others" refers to friends, family, or caregivers or other related parties who are involved in the user's wishes.

[0618] An "information processing device" is a device for receiving, transmitting, and processing data, and includes servers and personal devices.

[0619] "Draft plan" refers to a proposed activity schedule generated considering the user's wishes and emotional state.

[0620] "Selection" refers to the process of analyzing and judging the best option from multiple candidates to make a decision.

[0621] "Reservation action" refers to the process of scheduling a pre-determined activity as an actual activity and making reservations for related services or locations.

[0622] "Secure transfer" refers to a method of preventing unauthorized access or tampering by third parties during data transmission and reception using communication protocols.

[0623] The system that realizes this invention includes a server and a smartphone or tablet as a personal information processing device. The user inputs their wishes and emotional state using the smartphone. The emotional state is analyzed using biometric data acquired through sensors such as the device's camera and microphone. The data obtained here is processed through an emotion engine API to evaluate the user's psychological state.

[0624] The server transmits the user's wishes and emotional state to other information processing devices via the computer network. This makes it easier for all stakeholders to understand the overall plan based on the user's emotional state and wishes. Furthermore, by combining the output of the emotion engine with a generating AI model as needed, more advanced optimization is possible.

[0625] As a concrete example, consider a scenario where a user inputs, "I want to take a pleasant walk today." If the server analyzes that the user's current emotional state is relaxed, it will suggest the optimal walking route, taking into account the weather and past history. The resulting suggestion is then communicated to the user and relevant parties. If the user approves the suggested schedule, the server automatically makes reservations for the relevant services and facilities and sends the schedule to all participants.

[0626] Examples of prompts to input into a generative AI model are as follows:

[0627] "Please propose a schedule plan for seniors based on their emotional state. Their current emotional state is relaxed, and their past Sunday activity history includes reading."

[0628] The flow of a specific process in Application Example 2 will be explained using Figure 14.

[0629] Step 1:

[0630] Users input their preferences and emotional state using a dedicated smartphone app. This input includes text input from the user and biometric data collected from the device's sensors (e.g., heart rate, facial expression). Based on this, the emotion engine API analyzes the emotional state and outputs a specific emotional state such as "relaxed" or "stressed."

[0631] Step 2:

[0632] The terminal sends user preference and emotional state data acquired by the terminal to the server. The input data consists of user emotional information and desired activities analyzed by the emotion engine API. The server receives this data and prepares to perform the next processing in cooperation with other information processing devices.

[0633] Step 3:

[0634] The server uses a generative AI model to plan the optimal activity based on data from the user. Inputs include the user's emotional state, desired activities, and past history. The output generates multiple candidate plans tailored to the emotional state.

[0635] Step 4:

[0636] The server sends candidate plans generated by others (family members or caregivers) to their respective information processing devices. Each other's device uses the received plan to determine whether or not they can participate in the plan, reflecting their individual emotional state, and sends this decision back to the server. The input here is the candidate plan, and the output is the participation status information.

[0637] Step 5:

[0638] The server aggregates participation availability information collected from others and selects the most suitable plan. The input consists of participation availability information from others and optimized candidate plans. Based on this, the final plan proposed to the user is determined.

[0639] Step 6:

[0640] The server notifies the user of the final plan it has selected and requests their approval. The user then chooses to approve or reject the proposal and responds to the server. The input here is the final plan, and the output is the user's approval or rejection.

[0641] Step 7:

[0642] Based on the final plan approved by the user, the server automatically makes reservations for the relevant locations and services. The input is the approved final plan, and the output generates reservation completion information.

[0643] Step 8:

[0644] The server notifies all relevant information processing devices of the reservation completion information, and reflects this in each device's schedule. This ensures that everyone has a share of the feasible activity plan. The input is the reservation completion information, and the output is the updated schedule.

[0645] The specific processing unit 290 transmits the result of the specific processing to the headset terminal 314. In the headset terminal 314, the control unit 46A causes the speaker 240 and display 343 to output the result of the specific processing. The microphone 238 acquires audio indicating user input for the result of the specific processing. The control unit 46A transmits the audio data indicating user input acquired by the microphone 238 to the data processing unit 12. In the data processing unit 12, the specific processing unit 290 acquires the audio data.

[0646] Data generation model 58 is a type of so-called generative AI (Artificial Intelligence). One example of data generation model 58 is ChatGPT (Internet search<URL: https: / / openai.com / blog / chatgpt> ), Gemini (Internet search) <url: https: gemini.google.com ?hl="ja">Examples of generative AI include the following. The data generation model 58 is obtained by performing deep learning on a neural network. The data generation model 58 is input with prompts containing instructions, and with inference data such as audio data representing speech, text data representing text, and image data representing images. The data generation model 58 infers from the input inference data according to the instructions indicated by the prompts, and outputs the inference results in data formats such as audio data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization.

[0647] In the above embodiment, an example was given in which specific processing is performed by the data processing device 12, but the technology of this disclosure is not limited thereto, and specific processing may also be performed by the headset terminal 314.

[0648] [Fourth Embodiment]

[0649] Figure 7 shows an example of the configuration of the data processing system 410 according to the fourth embodiment.

[0650] As shown in Figure 7, the data processing system 410 includes a data processing device 12 and a robot 414. An example of the data processing device 12 is a server.

[0651] The data processing device 12 comprises a computer 22, a database 24, and a communication interface 26. The computer 22 is an example of a "computer" related to the technology of this disclosure. The computer 22 comprises a processor 28, RAM 30, and storage 32. The processor 28, RAM 30, and storage 32 are connected to a bus 34. The database 24 and the communication interface 26 are also connected to the bus 34. The communication interface 26 is connected to a network 54. An example of the network 54 is a WAN (Wide Area Network) and / or a LAN (Local Area Network).

[0652] The robot 414 includes a computer 36, a microphone 238, a speaker 240, a camera 42, a communication interface 44, and a controlled object 443. The computer 36 includes a processor 46, RAM 48, and storage 50. The processor 46, RAM 48, and storage 50 are connected to a bus 52. The microphone 238, speaker 240, camera 42, and controlled object 443 are also connected to the bus 52.

[0653] The microphone 238 receives voice signals from the user 20 and receives instructions from the user 20. The microphone 238 captures the voice signals from the user 20, converts the captured voice into audio data, and outputs it to the processor 46. The speaker 240 outputs audio according to the instructions from the processor 46.

[0654] Camera 42 is a small digital camera equipped with an optical system including a lens, aperture, and shutter, and an image sensor such as a CMOS (Complementary Metal-Oxide-Semiconductor) image sensor or a CCD (Charge Coupled Device) image sensor, and captures images of the area around the user 20 (for example, an imaging range defined by a field of view equivalent to the width of a typical healthy person's field of vision).

[0655] Communication interface 44 is connected to network 54. Communication interfaces 44 and 26 are responsible for the exchange of various information between processor 46 and processor 28 via network 54. The exchange of various information between processor 46 and processor 28 using communication interfaces 44 and 26 is performed in a secure manner.

[0656] The controlled object 443 includes a display device, LEDs in the eyes, and motors that drive the arms, hands, and feet. The posture and gestures of the robot 414 are controlled by controlling the motors of the arms, hands, and feet. Some of the robot 414's emotions can be expressed by controlling these motors. Furthermore, the robot 414's facial expressions can also be expressed by controlling the illumination state of the LEDs in its eyes.

[0657] Figure 8 shows an example of the main functions of the data processing device 12 and the robot 414. As shown in Figure 8, the data processing device 12 performs specific processing using the processor 28. The storage 32 stores the specific processing program 56.

[0658] The specific processing program 56 is an example of a "program" relating to the technology of this disclosure. The processor 28 reads the specific processing program 56 from the storage 32 and executes the read specific processing program 56 on the RAM 30. The specific processing is realized by the processor 28 operating as a specific processing unit 290 in accordance with the specific processing program 56 executed on the RAM 30.

[0659] The storage 32 stores the data generation model 58 and the emotion identification model 59. The data generation model 58 and the emotion identification model 59 are used by the identification processing unit 290.

[0660] In robot 414, the processor 46 performs the reception output processing. The storage 50 stores the reception output program 60. The processor 46 reads the reception output program 60 from the storage 50 and executes the read reception output program 60 on the RAM 48. The reception output processing is realized by the processor 46 operating as a control unit 46A according to the reception output program 60 executed on the RAM 48.

[0661] Next, the specific processing performed by the specific processing unit 290 of the data processing device 12 will be described. In the following description, the data processing device 12 will be referred to as the "server" and the robot 414 as the "terminal".

[0662] As an embodiment of the present invention, a communication process between a user, a terminal, and a server will be described. In this system, the user inputs their wishes and requests using the terminal. For example, one might assume the request is, "I would like to have dinner with a friend in the first week of next month."

[0663] The device receives the user's input and, with the user's permission, sends that information to the server. The server receives this information and generates suggested plans based on the user's schedule and past interests. The server then sends the corresponding suggested plans to the devices of friends and family members designated by the user.

[0664] The AI ​​agent on the friend's or family member's device receives this information and compares it with the user's schedule and interests. When this feedback is sent back to the server, the server aggregates all the feedback and selects the optimal plan. Once a plan is selected, the server notifies the original user of that plan.

[0665] When a user approves a plan, the device notifies the server of the approval. The server receives this information and automatically performs the necessary procedures, such as making a reservation. At the same time, it notifies the user and their registered friends and family that the reservation is complete and adds the event to the device's schedule and calendar.

[0666] This invention optimizes schedules according to the user's interests and needs using the proposed algorithm. Furthermore, it is designed to ensure secure data transfer by utilizing communication protocols, enabling efficient and secure communication. This significantly simplifies scheduling and communication among family and friends, making users' lives more convenient.

[0667] The following describes the processing flow.

[0668] Step 1:

[0669] The user enters details of the desired event into their device. This includes information such as the date and time of the event and the number of participants.

[0670] Step 2:

[0671] The terminal receives the user's input as digital data and prepares it for transmission to the server.

[0672] Step 3:

[0673] The server receives data sent from the terminal and analyzes the event preferences. It prepares to generate candidate plans, taking into account the user's past schedule and interests.

[0674] Step 4:

[0675] The server sends suggested plans to the user's friends and family's devices and requests each device to confirm the schedule.

[0676] Step 5:

[0677] Based on candidate plans received from the server by friends' and family members' devices, the system checks each user's schedule and interest data to determine if they can participate and whether they are interested.

[0678] Step 6:

[0679] Each terminal collects user feedback and sends it back to the server.

[0680] Step 7:

[0681] The server aggregates all the feedback and executes a process to select the most suitable plan.

[0682] Step 8:

[0683] The server sends the selected plan to the user's terminal and notifies the user. The user then indicates whether they approve or reject the plan.

[0684] Step 9:

[0685] If the user approves the plan, the device sends that information to the server.

[0686] Step 10:

[0687] The server automatically processes the reservation based on the approved plan and notifies all relevant parties on their devices of its completion.

[0688] Step 11:

[0689] The device adds the event to the user's schedule and provides the user with a final notification.

[0690] (Example 1)

[0691] Next, we will describe Example 1. In the following description, the data processing device 12 will be referred to as the "server" and the robot 414 as the "terminal".

[0692] Conventional scheduling systems made it difficult to select the optimal plan based on user interests and schedules, and required manual confirmation and adjustment when coordinating with multiple parties. Furthermore, there were issues with secure data transmission, making efficient and secure communication a challenge.

[0693] The identification process performed by the identification processing unit 290 of the data processing device 12 in Example 1 is realized by the following means.

[0694] In this invention, the server includes means for receiving user preferences via a personal information processing device, means for selecting the optimal schedule using a generation AI model, and means for using prompt statements when generating the schedule. This enables the automatic generation of an optimal plan based on the user's interests and schedule, as well as secure and efficient data communication.

[0695] A "personal information processing device" is a device that allows users to input and output information through direct operation, and primarily refers to a terminal.

[0696] A "computer network" refers to the communication infrastructure where information processing devices are connected and information is sent and received.

[0697] "Another person's information processing device" refers to an information processing device owned or operated by an individual other than the user.

[0698] A "generative AI model" is a program model that uses artificial intelligence technology to perform tasks such as data analysis and prediction.

[0699] A "prompt statement" is a command statement input to an AI model to prompt it to perform a specific action or generate something.

[0700] "Draft proposal" refers to a proposed plan or schedule presented to the user and related individuals.

[0701] A "communication protocol" is a set of rules and procedures that define how data can be safely and efficiently transferred between information processing devices.

[0702] This invention is a system that automatically processes user wishes and requests and generates and proposes an optimal schedule based on efficient and secure communication between the user, terminal, and server.

[0703] The user first uses a personal information processing device (terminal) to input their preferences and requests. For example, they might use an application on their smartphone or tablet to input something like, "I'd like to have dinner with friends during the first week of next month." In this case, an example of a prompt message might be, "Please suggest the best dinner plan based on the user's schedule and interests."

[0704] Upon receiving user input, the terminal, with the user's permission, transmits the information to the server via the computer network. To ensure secure data transfer, communication protocols such as HTTPS are used for this communication.

[0705] The server uses the received information to reference the user's schedule information and past interest data, and utilizes a generative AI model to generate the optimal schedule. This AI model analyzes the user's past behavior data and interest tags to create a list of suggested options. The generated schedule uses prompts to give specific instructions to the AI ​​model, ensuring that appropriate content is generated.

[0706] Furthermore, the server sends the generated candidate plans to the devices of friends and family members specified by the user, and AI agents on these devices match each user's schedule and interest information to generate feedback. The server aggregates all the feedback and uses a scoring algorithm to select the most appropriate plan.

[0707] Through the process described above, this invention efficiently and securely enables the automatic generation of schedules according to the user's wishes and coordination with relevant parties.

[0708] The flow of the specific processing in Example 1 will be explained using Figure 11.

[0709] Step 1:

[0710] Users input their wishes and requests through their devices. Specifically, they use the application's input form to write down a wish such as, "I'd like to have dinner with friends during the first week of next month." The input data includes information such as the purpose, date and time, and participants.

[0711] Step 2:

[0712] The terminal receives data entered by the user and validates the input data. After confirming that it is in the correct format, it securely sends it to the server using HTTPS. The output of this process is data formatted in a way that the server can process.

[0713] Step 3:

[0714] The server analyzes the received data and retrieves the user's schedule data and past interests from the database. Next, it inputs the data into a generating AI model and generates optimal candidate plans using the prompt "Suggest the best meal plan based on the user's schedule and interests." The output is a list of candidate plans.

[0715] Step 4:

[0716] The server sends the generated candidate plans to the devices of the designated friends and family. The devices receive these plans, and their built-in AI agent matches the received data with each user's schedule and interest data. The output of this step is feedback from each device, including their willingness to participate and their evaluation.

[0717] Step 5:

[0718] The feedback is sent back to the server. The server aggregates all the feedback and uses a scoring algorithm to select the optimal plan. The output here is the final selected plan.

[0719] Step 6:

[0720] The server notifies the user of the optimal plan and sends the details to the user's device. The user receives the notification and confirms the plan details.

[0721] Step 7:

[0722] When a user approves a proposed plan, they notify the server of their approval via their device. Upon receiving the approval data, the server automatically proceeds with the booking process and notifies all relevant devices of the result. The final output of this step is a booking completion notification.

[0723] (Application Example 1)

[0724] Next, we will explain Application Example 1. In the following explanation, the data processing device 12 will be referred to as the "server" and the robot 414 as the "terminal".

[0725] When coordinating appointments among multiple users, the manual scheduling, booking, and payment processes are cumbersome, time-consuming, and cumbersome. There is a need for a system that can handle these procedures efficiently and securely.

[0726] The specific processing performed by the specific processing unit 290 of the data processing device 12 in Application Example 1 is realized by the following means.

[0727] In this invention, the server includes means for receiving a user's request via a personal information processing device, means for transmitting the request to multiple other information processing devices via a computer network, and means for automatically performing reservation and payment procedures when the proposed schedule is approved by the user. This allows the user to efficiently and securely coordinate schedules, make reservations, and make payments with others without having to go through complicated procedures.

[0728] A "personal information processing device" refers to a terminal device operated by a user, such as an electronic device like a smartphone or tablet.

[0729] A "means of receiving requests" refers to an element that has the function of acquiring schedules and requests from users.

[0730] "Means of transmission via computer networks" refers to functions that transmit information to other devices using the internet or other communication networks.

[0731] "A means of aggregating responses from other information processing devices and selecting the optimal plan" refers to a mechanism that compares multiple response pieces of information and selects the most suitable schedule or plan based on the given conditions.

[0732] "Means for automatically performing reservation and payment procedures" refers to a system that, based on user approval, confirms reservations and automatically completes the necessary payment processing.

[0733] "Means for notifying all relevant information processing devices" refers to a function for informing the user and all relevant parties of the reservation completion information.

[0734] An "algorithm that optimizes suggestions based on interest information and schedule information" is a computational method for generating optimal suggestions tailored to the user's individual interests and schedule.

[0735] "Secure transfer functionality" refers to the technology that uses encryption protocols to safely send and receive data.

[0736] The "function for securely processing payment information" refers to a mechanism for processing transaction information safely and accurately, and is useful in protecting users' payment information.

[0737] The system that implements this application example uses personal information processing devices such as smartphones and tablets to receive user requests, and a server handles the information processing. The server transmits the user's requests to other information processing devices via a computer network, aggregates the responses, and selects the most suitable schedule. The selected schedule is notified to the user, and once approved, the reservation and payment procedures are automatically performed.

[0738] The hardware used will include devices such as smartphones, tablets, and personal computers. The software will utilize React Native for the frontend, Node.js for the backend, and MongoDB for database management. The server will use these technologies to process user interest and schedule information and execute an algorithm to generate optimized suggestions.

[0739] For example, if a user enters a request such as "I want to see a movie with a friend during the first week of next month," the system will generate a list of suitable movie theaters and handle ticket booking and payment in one go. A prompt could be used in the form of, "Please suggest a good movie for me and my friend to see. Also, please check if it fits everyone's schedule, automatically book the theater, and complete the payment." In this way, users can efficiently schedule appointments without cumbersome procedures.

[0740] The flow of a specific process in Application Example 1 will be explained using Figure 12.

[0741] Step 1:

[0742] The user uses a personal information processing device to input their wishes and requests. For example, the user might input, "I want to see a movie with a friend during the first week of next month." This input data becomes the basis for the next processing step.

[0743] Step 2:

[0744] The terminal sends the user's input preferences to the server. The transmitted data includes preferences, user interest information, and schedule information. The server receives this data and parses it in preparation for the next processing step.

[0745] Step 3:

[0746] Based on the received data, the server generates candidate plans, taking into account interest information and schedule information. In this process, it utilizes a generation AI model to analyze past data and create optimal plan candidates. The generated candidate plans are then used in the next step.

[0747] Step 4:

[0748] The server sends the generated candidate plans to the relevant information processing devices of other users. The AI ​​agent then checks the plans sent to each device for consistency with the user's schedule and interests, and generates any necessary feedback.

[0749] Step 5:

[0750] The server aggregates feedback from other users' information processing devices. This feedback includes information such as whether schedule adjustments are possible and the degree of interest matching. Based on this feedback, the server performs data processing to select the optimal plan.

[0751] Step 6:

[0752] The server notifies the user's terminal of the selected optimal plan. The notification includes details of the selected plan, which the user can then review.

[0753] Step 7:

[0754] The user approves the notified plan. The approval process involves the user sending plan approval information from the device to the server. Upon receiving this information, the server acts as a trigger to initiate the next action.

[0755] Step 8:

[0756] The server automatically handles booking and payment procedures based on user approval. It calls the API of the partnered booking and payment system to confirm the booking and securely complete the payment process.

[0757] Step 9:

[0758] The server notifies the user and all related information processing devices that the reservation is complete. This notification updates all schedules, allowing the user and all their friends and family to confirm that the procedure is complete.

[0759] Furthermore, an emotion engine that estimates the user's emotions may be incorporated. That is, the identification processing unit 290 may use the emotion identification model 59 to estimate the user's emotions and perform identification processing using the user's emotions.

[0760] This invention provides a communication and scheduling management system using an emotion engine. Users can input desired events and appointments via a terminal. In this process, the emotion engine uses the user's input and the terminal's sensors to analyze the user's current emotional state.

[0761] This emotional information is sent to a server, which combines the user's emotional data with past schedule and interest information to generate optimal candidate plans. The server then sends multiple candidate plans to the user's family and friends' devices, and each device, based on the received plan and taking into account its own emotional state, decides whether or not to participate in the plan.

[0762] As a concrete example, consider a scenario where a user requests "I want to do something relaxing on the weekend." If the emotion engine determines the user's stress level is high, the server will prioritize suggesting plans that emphasize relaxation. For example, it might prioritize booking a spa or massage over watching a movie.

[0763] The selected plan is notified to the user, who then confirms whether they approve it. Based on the approved plan, the server automatically books events and activities, notifies the user and their registered family and friends of the event schedule, and reflects the sentiment information in their respective schedules.

[0764] Thus, the present invention optimizes communication suggestions by considering the user's emotional state using an emotion engine. This makes it possible for users to create schedules that are more comfortable and satisfying. Furthermore, by using a communication protocol, data can be securely transferred, ensuring a high level of privacy protection.

[0765] The following describes the processing flow.

[0766] Step 1:

[0767] The user enters details of their desired event or appointment into the device. During this process, the device utilizes internal sensors to extract emotional data from the user's voice tone, facial expressions, and touch patterns.

[0768] Step 2:

[0769] The device collects emotional data, converts it into a digital format, and sends it to the server along with the user's input information.

[0770] Step 3:

[0771] The server receives preference and sentiment data sent from the terminal and uses the user's past schedule information, interests, and sentiment data to create optimal activity suggestions.

[0772] Step 4:

[0773] The server generates activity suggestions and sends them to the user's family and friends' devices. This process is designed to take into account the emotional states of other users, as received through the emotion engine.

[0774] Step 5:

[0775] Family and friends' devices receive activity suggestions sent from the server, evaluate their likelihood of participation based on their respective user sentiment data, and send feedback back to the server.

[0776] Step 6:

[0777] The server aggregates all the feedback, selects the activity deemed most appropriate, and notifies the original user of the result on their device.

[0778] Step 7:

[0779] The user's device receives suggested activities from the server and displays the suggestions to the user. The user then chooses to accept or reject the suggestions.

[0780] Step 8:

[0781] If the user approves the activity, the device sends that information back to the server, which automatically executes the reservation or arrangement.

[0782] Step 9:

[0783] The server notifies the user and any family or friends involved after the reservation is complete, and each device then updates its schedule accordingly.

[0784] Step 10:

[0785] The device ultimately notifies the user of scheduled information and sets reminders as needed.

[0786] (Example 2)

[0787] Next, we will describe Example 2. In the following description, the data processing device 12 will be referred to as the "server" and the robot 414 as the "terminal".

[0788] The present invention aims to improve user comfort and satisfaction by presenting more optimal schedule options while considering the user's emotional state and interests. Furthermore, there is a need for a system that automates schedule management while protecting user privacy through secure and efficient data exchange between personal information processing devices.

[0789] The identification process performed by the identification processing unit 290 of the data processing device 12 in Example 2 is realized by the following means.

[0790] In this invention, the server includes means for receiving a user's wishes via a personal information processing device, means for transmitting said wishes to multiple other information processing devices via a computer network, and means for aggregating responses from the other information processing devices and selecting the optimal schedule. This enables the generation, approval, and booking of an optimal schedule based on the user's emotional state.

[0791] A "personal information processing device" refers to a terminal device that a user can directly operate to input and receive data.

[0792] A "computer network" is a communication infrastructure that connects multiple information processing devices to send and receive data.

[0793] An "information processing device" is an electronic device designed for data processing, and includes servers and terminal devices.

[0794] "Emotional analysis means" refers to an analytical mechanism that quantifies or classifies the user's current emotional state based on their biometric information.

[0795] An "artificial intelligence model" is a computational model that generates specific results based on data, and includes technologies that apply machine learning, deep learning, and other similar techniques.

[0796] A "communication protocol" is a set of rules for securely and efficiently transferring data over a network.

[0797] This invention is a system that proposes an optimal schedule to the user through emotion analysis. This system is realized by receiving user data via a personal information processing device (hereinafter referred to as a terminal) and analyzing and processing it on a server.

[0798] First, the user inputs their desired event or activity through a device. This device could be a smartphone or tablet, and it can collect biometric information using an accelerometer or camera. The device then collects the user's heart rate and facial expression data and transmits it to an emotion analysis system.

[0799] The server analyzes the user's emotional state from biometric information received using emotion analysis tools. These tools incorporate machine learning algorithms and facial recognition technology, enabling the quantification of the user's stress level and happiness. The analysis results serve as input for running a generative AI model.

[0800] The generative AI model generates the optimal event plan based on the user's emotional state, past schedule data, and interest information. In this process, the server inputs prompts into the AI ​​model. By giving specific instructions such as, "When the user's emotional score is high stress, prioritize plans aimed at relaxation," the AI ​​outputs an appropriate plan.

[0801] As a concrete example, consider a scenario where a user enters into their device that they "want to do something relaxing on the weekend." The server uses the analyzed emotional information to generate a plan focused on relaxation, such as a spa or massage appointment. Once the user approves this plan, the server automatically completes the booking and notifies all information processing devices of the relevant data.

[0802] This invention makes it possible to help users plan a comfortable and stress-free daily life and improve their quality of life through personalized suggestions.

[0803] The flow of the specific processing in Example 2 will be explained using Figure 13.

[0804] Step 1:

[0805] Users input their desired events or activities as text via their device. The input data includes basic information such as the event name, date, time, and location. This data is then formatted within the device and prepared for transmission to the server.

[0806] Step 2:

[0807] The device preprocesses biometric data collected by its sensors for emotion analysis. Specifically, it uses image data and heart rate acquired by the device's camera and heart rate sensor to generate a basic dataset for analyzing the user's emotional state. This dataset includes information such as facial feature characteristics and heart rate fluctuations. The preprocessed data is then sent to the server.

[0808] Step 3:

[0809] The server receives text information and biometric data sent from the terminal. Next, it analyzes the biometric data using emotion analysis tools to calculate the user's emotion score. At this point, data is obtained that is quantified, for example, as stress level or happiness level. This emotion score is used in subsequent calculations in the AI ​​model.

[0810] Step 4:

[0811] The server inputs data into the generating AI model and instructs it to perform analysis with prompts. These prompts include instructions such as, "If the user's emotional score indicates high stress, prioritize relaxation-focused options." Based on the emotional score and the user's past schedule, the AI ​​model generates multiple event options tailored to the user. The output of this process provides details of each option.

[0812] Step 5:

[0813] The server sends the generated event proposals to the user's and their associated family and friends' devices. The devices display the received proposals to the user and provide a UI to prompt approval. The user can review the displayed proposals and select or approve the most suitable plan.

[0814] Step 6:

[0815] Once the user approves the proposal, the server automatically processes the event or activity reservation through the reservation system's API. Specifically, it confirms the completion of the selected activity reservation and notifies the user's device of the result. The reservation process can also be integrated with schedule management tools and other applications.

[0816] Step 7:

[0817] The server notifies all relevant information processing devices of the details of the confirmed event. Based on this information, the terminal automatically adds the event to the scheduling application and fixes it as part of the user's schedule. Additionally, the reminder function can be used to alert the user in advance, as needed.

[0818] (Application Example 2)

[0819] Next, we will explain application example 2. In the following explanation, the data processing device 12 will be referred to as the "server" and the robot 414 as the "terminal".

[0820] Elderly individuals face challenges in engaging in appropriate activities that provide emotional fulfillment in their daily lives. Furthermore, family members and caregivers face challenges in understanding the emotional state of elderly individuals and providing optimal care. A support system is needed to address these challenges and enable both elderly individuals and caregivers to live with peace of mind.

[0821] The specific processing performed by the specific processing unit 290 of the data processing device 12 in Application Example 2 is realized by the following means.

[0822] In this invention, the server includes means for receiving the user's wishes and emotional state via a personal information processing device, means for transmitting the wishes and emotional state information to multiple other information processing devices via a computer network, and means for selecting the optimal schedule considering the emotional state of the other users and the user. This enables the suggestion of optimal activities to improve the emotional satisfaction of the elderly, and the sharing and implementation of care plans based on these suggestions.

[0823] A "personal information processing device" is a terminal device used by users to input their wishes and emotional states, and generally refers to smartphones and tablets.

[0824] "Desires" refer to specific requests regarding plans and activities that users would like to undertake.

[0825] "Emotional state" refers to information that indicates the user's current psychological and emotional condition, and is analyzed using data obtained from the device and user input.

[0826] A "computer network" refers to a network infrastructure used to send and receive data between information processing devices, and includes the internet.

[0827] "Others" refers to friends, family, or caregivers or other related parties who are involved in the user's wishes.

[0828] An "information processing device" is a device for receiving, transmitting, and processing data, and includes servers and personal devices.

[0829] "Draft plan" refers to a proposed activity schedule generated considering the user's wishes and emotional state.

[0830] "Selection" refers to the process of analyzing and judging the best option from multiple candidates to make a decision.

[0831] "Reservation action" refers to the process of scheduling a pre-determined activity as an actual activity and making reservations for related services or locations.

[0832] "Secure transfer" refers to a method of preventing unauthorized access or tampering by third parties during data transmission and reception using communication protocols.

[0833] The system that realizes this invention includes a server and a smartphone or tablet as a personal information processing device. The user inputs their wishes and emotional state using the smartphone. The emotional state is analyzed using biometric data acquired through sensors such as the device's camera and microphone. The data obtained here is processed through an emotion engine API to evaluate the user's psychological state.

[0834] The server transmits the user's wishes and emotional state to other information processing devices via the computer network. This makes it easier for all stakeholders to understand the overall plan based on the user's emotional state and wishes. Furthermore, by combining the output of the emotion engine with a generating AI model as needed, more advanced optimization is possible.

[0835] As a concrete example, consider a scenario where a user inputs, "I want to take a pleasant walk today." If the server analyzes that the user's current emotional state is relaxed, it will suggest the optimal walking route, taking into account the weather and past history. The resulting suggestion is then communicated to the user and relevant parties. If the user approves the suggested schedule, the server automatically makes reservations for the relevant services and facilities and sends the schedule to all participants.

[0836] Examples of prompts to input into a generative AI model are as follows:

[0837] "Please propose a schedule plan for seniors based on their emotional state. Their current emotional state is relaxed, and their past Sunday activity history includes reading."

[0838] The flow of a specific process in Application Example 2 will be explained using Figure 14.

[0839] Step 1:

[0840] Users input their preferences and emotional state using a dedicated smartphone app. This input includes text input from the user and biometric data collected from the device's sensors (e.g., heart rate, facial expression). Based on this, the emotion engine API analyzes the emotional state and outputs a specific emotional state such as "relaxed" or "stressed."

[0841] Step 2:

[0842] The terminal sends user preference and emotional state data acquired by the terminal to the server. The input data consists of user emotional information and desired activities analyzed by the emotion engine API. The server receives this data and prepares to perform the next processing in cooperation with other information processing devices.

[0843] Step 3:

[0844] The server uses a generative AI model to plan the optimal activity based on data from the user. Inputs include the user's emotional state, desired activities, and past history. The output generates multiple candidate plans tailored to the emotional state.

[0845] Step 4:

[0846] The server sends candidate plans generated by others (family members or caregivers) to their respective information processing devices. Each other's device uses the received plan to determine whether or not they can participate in the plan, reflecting their individual emotional state, and sends this decision back to the server. The input here is the candidate plan, and the output is the participation status information.

[0847] Step 5:

[0848] The server aggregates participation availability information collected from others and selects the most suitable plan. The input consists of participation availability information from others and optimized candidate plans. Based on this, the final plan proposed to the user is determined.

[0849] Step 6:

[0850] The server notifies the user of the final plan it has selected and requests their approval. The user then chooses to approve or reject the proposal and responds to the server. The input here is the final plan, and the output is the user's approval or rejection.

[0851] Step 7:

[0852] Based on the final plan approved by the user, the server automatically makes reservations for the relevant locations and services. The input is the approved final plan, and the output generates reservation completion information.

[0853] Step 8:

[0854] The server notifies all relevant information processing devices of the reservation completion information, and reflects this in each device's schedule. This ensures that everyone has a share of the feasible activity plan. The input is the reservation completion information, and the output is the updated schedule.

[0855] The specific processing unit 290 transmits the result of the specific processing to the robot 414. In the robot 414, the control unit 46A causes the speaker 240 and the controlled object 443 to output the result of the specific processing. The microphone 238 acquires audio indicating user input for the result of the specific processing. The control unit 46A transmits the audio data indicating user input acquired by the microphone 238 to the data processing unit 12. In the data processing unit 12, the specific processing unit 290 acquires the audio data.

[0856] Data generation model 58 is a type of so-called generative AI (Artificial Intelligence). One example of data generation model 58 is ChatGPT (Internet search<URL: https: / / openai.com / blog / chatgpt> ), Gemini (Internet search) <url: https: gemini.google.com ?hl="ja">Examples of generative AI include the following. The data generation model 58 is obtained by performing deep learning on a neural network. The data generation model 58 is input with prompts containing instructions, and with inference data such as audio data representing speech, text data representing text, and image data representing images. The data generation model 58 infers from the input inference data according to the instructions indicated by the prompts, and outputs the inference results in data formats such as audio data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization.

[0857] 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 this disclosure is not limited thereto, and the specific processing may also be performed by the robot 414.

[0858] Furthermore, the emotion identification model 59, acting as an emotion engine, may determine the user's emotion according to a specific mapping. Specifically, the emotion identification model 59 may determine the user's emotion according to a specific mapping, which is an emotion map (see Figure 9). Similarly, the emotion identification model 59 may also determine the robot's emotion, and the identification processing unit 290 may perform identification processing using the robot's emotion.

[0859] Figure 9 shows an emotion map 400 in which multiple emotions are mapped. In the emotion map 400, emotions are arranged in concentric circles radiating from the center. The closer to the center of the concentric circles, the more primitive the emotions are located. Further out of the concentric circles, emotions representing states and actions arising from mental states are located. Emotion is a concept that includes feelings and mental states. On the left side of the concentric circles, emotions that are generally generated from reactions occurring in the brain are located. On the right side of the concentric circles, emotions that are generally induced by situational judgment are located. Above and below the concentric circles, emotions that are generally generated from reactions occurring in the brain and induced by situational judgment are located. In addition, the emotion of "pleasure" is located on the upper side of the concentric circles, and the emotion of "displeasure" is located on the lower side. Thus, in the emotion map 400, multiple emotions are mapped based on the structure in which emotions arise, and emotions that are likely to occur simultaneously are mapped close together.

[0860] These emotions are distributed at the 3 o'clock position on the Emotion Map 400, and usually fluctuate between feelings of security and anxiety. In the right half of the Emotion Map 400, situational awareness takes precedence over internal feelings, resulting in a calm impression.

[0861] The inside of the Emotion Map 400 represents inner thoughts, while the outside represents actions. Therefore, the further you go from the outside of the Emotion Map 400, the more visible (expressed in actions) your emotions become.

[0862] Here, human emotions are based on various balances, such as posture and blood sugar levels. When these balances deviate from the ideal, it results in discomfort, and when they approach the ideal, it results in pleasure. Similarly, in robots, cars, motorcycles, etc., emotions can be created based on various balances, such as posture and battery level. When these balances deviate from the ideal, it results in discomfort, and when they approach the ideal, it results in pleasure. The emotion map can be generated, for example, based on Dr. Mitsuyoshi's emotion map (Research on a system for analyzing brain physiological signals of speech emotion recognition and emotion, Tokushima University, doctoral dissertation: https: / / ci.nii.ac.jp / naid / 500000375379). The left half of the emotion map contains emotions belonging to a region called "response," where sensation is dominant. The right half of the emotion map contains emotions belonging to a region called "situation," where situational awareness is dominant.

[0863] The emotion map defines two emotions that promote learning. One is the emotion around the middle of the negative "repentance" and "reflection" on the situation side. In other words, it is when the robot experiences negative emotions such as "I never want to feel this way again" or "I don't want to be scolded again." The other is the emotion around the positive "desire" on the reaction side. In other words, it is when the robot has positive feelings such as "I want more" or "I want to know more."

[0864] The emotion identification model 59 inputs user input into a pre-trained neural network, obtains emotion values ​​representing each emotion shown in the emotion map 400, and determines the user's emotion. This neural network is pre-trained based on multiple training data sets, which are combinations of user input and emotion values ​​representing each emotion shown in the emotion map 400. Furthermore, this neural network is trained so that emotions located close together have similar values, as shown in the emotion map 900 in Figure 10. Figure 10 shows an example where multiple emotions such as "reassured," "calm," and "confident" have similar emotion values.

[0865] The above description primarily focuses on the functions of the data processing device 12 in relation to this disclosure. However, the system related to this disclosure is not necessarily implemented on a server. The system related to this disclosure may be implemented as a general information processing system. This disclosure may be implemented, for example, as a software program that runs on a personal computer or as an application that runs on a smartphone. The method related to this disclosure may be provided to users in SaaS (Software as a Service) format.

[0866] In the above embodiment, an example was given in which a specific process is performed by a single computer 22. However, the technology of this disclosure is not limited thereto, and a distributed processing of the specific process may be performed by multiple computers, including computer 22. For example, a data generation model 58 may be provided in an external device of the data processing device 12, and the external device may generate data according to the input data.

[0867] In the above embodiment, an example was given in which the specific processing program 56 is stored in the storage 32, but the technology of this disclosure is not limited thereto. For example, the specific processing program 56 may be stored in a portable, computer-readable, non-temporary storage medium such as a USB (Universal Serial Bus) memory. The specific processing program 56 stored in the non-temporary storage medium is installed in the computer 22 of the data processing device 12. The processor 28 executes specific processing according to the specific processing program 56.

[0868] 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.

[0869] Furthermore, it is not necessary to store the entirety of the specific processing program 56 in a storage device such as a server connected to the data processing device 12 via the network 54, or to store the entirety of the specific processing program 56 in the storage 32; it is acceptable to store only a portion of the specific processing program 56.

[0870] The following types of processors can be used as hardware resources to perform specific processing. Examples of processors include a CPU, a general-purpose processor that functions as a hardware resource to perform specific processing by executing software, i.e., a program. Other examples of processors include dedicated electrical circuits, such as FPGAs (Field-Programmable Gate Arrays), PLDs (Programmable Logic Devices), or ASICs (Application Specific Integrated Circuits), which have circuit configurations specifically designed to perform specific processing. All of these processors have built-in or connected memory, and all of them perform specific processing by using memory.

[0871] The hardware resource that performs a specific process may consist of one of these various processors, or it may consist of a combination of two or more processors of the same or different types (for example, a combination of multiple FPGAs, or a combination of a CPU and an FPGA). Alternatively, the hardware resource that performs a specific process may consist of a single processor.

[0872] Examples of configurations using a single processor include, firstly, a configuration in which one or more CPUs and software are combined to form a single processor, and this processor functions as a hardware resource that performs a specific process. Secondly, there is a configuration using a processor that realizes the functions of the entire system, including multiple hardware resources that perform a specific process, on a single IC chip, as exemplified by SoCs (System-on-a-chip). In this way, a specific process is realized using one or more of the above types of processors as hardware resources.

[0873] Furthermore, the hardware structure of these various processors can more specifically utilize electrical circuits that combine circuit elements such as semiconductor devices. Also, the specific processing described above is merely an example. Therefore, it goes without saying that unnecessary steps can be deleted, new steps added, or the processing order rearranged, as long as it does not deviate from the main purpose.

[0874] The descriptions and illustrations presented above are detailed explanations of the technical aspects of this disclosure and are merely examples of the technical aspects. For example, the above descriptions of the structure, function, operation, and effect are examples of the structure, function, operation, and effect of the technical aspects of this disclosure. Therefore, it goes without saying that you may delete unnecessary parts, add new elements, or replace elements in the descriptions and illustrations presented above, as long as you do not deviate from the essence of the technical aspects of this disclosure. Furthermore, in order to avoid confusion and facilitate understanding of the technical aspects of this disclosure, explanations of common technical knowledge and the like that do not require special explanation to enable the implementation of the technical aspects of this disclosure have been omitted from the descriptions and illustrations presented above.

[0875] All documents, patent applications, and technical standards described herein are incorporated by reference to the same extent as if each individual document, patent application, and technical standard were specifically and individually noted to be incorporated by reference.

[0876] The following is further disclosed regarding the embodiments described above.

[0877] (Claim 1)

[0878] A means of receiving user requests via a personal information processing device,

[0879] A means for transmitting the request to multiple other parties' information processing devices via a computer network,

[0880] A means for aggregating responses from the other party's information processing device and selecting the optimal plan,

[0881] Means for notifying the user's information processing device of the selected plan,

[0882] A means for automatically performing a reservation action when the proposed schedule is approved by the user,

[0883] Means for notifying all relevant information processing devices of the reservation completion information,

[0884] A system that includes this.

[0885] (Claim 2)

[0886] The system according to claim 1, characterized by including an algorithm that optimizes suggestions based on user interest information and schedule information.

[0887] (Claim 3)

[0888] The system according to claim 1, characterized by securely transferring data using a communication protocol.

[0889] "Example 1"

[0890] (Claim 1)

[0891] A means of receiving user requests via a personal information processing device,

[0892] A means for transmitting the request to multiple other parties' information processing devices via a computer network,

[0893] A means for aggregating responses from the other party's information processing device and selecting the optimal plan using a generation AI model,

[0894] Means for notifying the user's information processing device of the selected plan,

[0895] A means for automatically performing a reservation action when the proposed schedule is approved by the user,

[0896] Means for notifying all relevant information processing devices of the reservation completion information,

[0897] A means of using prompt statements when generating the said draft,

[0898] A system that includes this.

[0899] (Claim 2)

[0900] The system according to claim 1, characterized by including an algorithm that optimizes suggestions based on user interest information and schedule information.

[0901] (Claim 3)

[0902] The system according to claim 1, characterized by securely transferring data using a communication protocol.

[0903] "Application Example 1"

[0904] (Claim 1)

[0905] A means of receiving user requests via a personal information processing device,

[0906] A means for transmitting the request to multiple other parties' information processing devices via a computer network,

[0907] A means for aggregating responses from the other party's information processing device and selecting the optimal plan,

[0908] Means for notifying the user's information processing device of the selected plan,

[0909] A means for automatically performing reservation and payment procedures when the proposed schedule is approved by the user,

[0910] Means for notifying all relevant information processing devices of the reservation completion information,

[0911] A system that includes this.

[0912] (Claim 2)

[0913] The system according to claim 1, characterized by including an algorithm that optimizes suggestions based on user interest information and schedule information, and automating payment processing in the booking process.

[0914] (Claim 3)

[0915] The system according to claim 1, characterized by having the ability to securely transfer data using a communication protocol and to securely process payment information.

[0916] "Example 2 of combining an emotion engine"

[0917] (Claim 1)

[0918] A means of receiving user requests via a personal information processing device,

[0919] A means for transmitting the request to multiple other parties' information processing devices via a computer network,

[0920] A means for aggregating responses from the other party's information processing device and selecting the optimal plan,

[0921] Means for notifying the user's information processing device of the selected plan,

[0922] A means for automatically performing a reservation action when the proposed schedule is approved by the user,

[0923] An emotion analysis means including a mechanism for analyzing the emotional state using the user's biometric information,

[0924] A computation means using an artificial intelligence model that generates event proposals based on data obtained from the emotion analysis means,

[0925] Means for notifying all relevant information processing devices of the reservation completion information,

[0926] A system that includes this.

[0927] (Claim 2)

[0928] The system according to claim 1, characterized by including an algorithm that optimizes suggestions based on the user's interests, schedule, and emotional state.

[0929] (Claim 3)

[0930] The system according to claim 1, characterized by securely transferring data using a communication protocol.

[0931] "Application example 2 when combining with an emotional engine"

[0932] (Claim 1)

[0933] A means for receiving the user's wishes and emotional state via a personal information processing device,

[0934] Means for transmitting the desired and emotional information to multiple other parties' information processing devices via a computer network,

[0935] A means for aggregating responses from the other party's information processing device and selecting the optimal plan considering the emotional state of the other party and the user,

[0936] Means for notifying the user and other parties' information processing devices of the selected plan,

[0937] A means to automatically perform a reservation action when the proposed schedule is approved by the user, and to reflect the emotional state in the schedule,

[0938] Means for notifying all relevant information processing devices of the reservation completion information,

[0939] A system that includes this.

[0940] (Claim 2)

[0941] The system according to claim 1, characterized by including an algorithm that optimizes suggestions based on the user's interests, schedule, and emotional state.

[0942] (Claim 3)

[0943] The system according to claim 1, characterized by securely transferring data using a communication protocol. [Explanation of symbols]

[0944] 10, 210, 310, 410 Data Processing Systems 12 Data Processing Devices 14 Smart Devices 214 Smart Glasses 314 Headset-type terminal 414 Robots< / url:> < / url:> < / url:> < / url:>

Claims

1. A means of receiving user requests via a personal information processing device, A means for transmitting the request to multiple other parties' information processing devices via a computer network, A means for aggregating responses from the other party's information processing device and selecting the optimal plan, Means for notifying the user's information processing device of the selected plan, A means for automatically performing a reservation action when the proposed schedule is approved by the user, Means for notifying all relevant information processing devices of the reservation completion information, A system that includes this.

2. The system according to claim 1, characterized by including an algorithm that optimizes suggestions based on user interest information and schedule information.

3. The system according to claim 1, characterized by securely transferring data using a communication protocol.

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