system

Abstract

We provide the system. [Solution] For event management via communication media from users, A means of receiving information about the event, A means for analyzing the aforementioned information and generating event proposals, A means of scheduling based on the proposed event, A means of gathering participants' opinions and determining the optimal schedule, A means of notifying the finalized schedule, 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 method for controlling a persona chatbot, which is performed by at least one processor, and includes 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] Modern parents are overwhelmed by a variety of daily activities, children's hobbies, and event planning for communication with friends, thus bearing a significant time burden and mental stress. Also, during event planning, opinion adjustment and schedule adjustment among participants are complicated, and efficient management is required. There is a need to improve such a situation and provide a system that allows parents to easily and quickly plan and manage event plans.

Means for Solving the Problems

[0005] To address the above challenges, this system has the functionality to receive event information from users via communication media, analyze that information, and generate event proposals. Furthermore, it adjusts schedules based on the generated proposals, gathers participant feedback, and determines the optimal date. The finalized date is effectively notified to users and participants. The system also optimizes proposals by considering the user's past history and preferences, and supports higher-quality event planning by incorporating seasonal and regional event information in conjunction with external sources.

[0006] "Communication medium" refers to electronic means used by users to send and receive information, specifically referring to applications on smartphones and personal computers.

[0007] "Means for generating event proposals" refers to a system function that automatically creates event content and dates suitable for the user based on information received about events.

[0008] "Methods for scheduling" refers to a system that has the function of adjusting participants' schedules based on available candidate dates and calculating the optimal date.

[0009] "A means of consolidating opinions and determining the optimal schedule" refers to a system process that collects feedback from participants, analyzes that information, and determines a reasonable schedule.

[0010] "Means of notifying the finalized schedule" refers to the means of informing all participants of the confirmed event date, which is usually done via email or messaging services.

[0011] "Optimizing past history and preferences" refers to the process of analyzing data from events a user has previously participated in and their personal interests, and then using that information to further personalize suggestions.

[0012] "Integration with external information sources" refers to the process of a system connecting with external databases and services to obtain more comprehensive information and incorporate it into proposals. [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] This invention is a system that allows users to use their mobile devices to summon an AI agent on a specific communication platform to manage events. The key feature of the invention is that it automates a series of processes, from creating event proposals to finalizing schedules and sending notifications.

[0035] In the operation of the system, the user first activates the AI ​​agent using an application installed on their terminal. For example, the user might input into the application that they want to plan a workshop for children. This information is then sent from the terminal to the server.

[0036] The server analyzes the received information and generates detailed event suggestions. These suggestions include plans based on the user's past event participation history and preferences, as well as current season and regional information. The suggestions typically include multiple candidate dates and event details and are provided as an optimized schedule.

[0037] For example, the server could analyze art-related events a user has previously attended, compare them with the local event calendar for the following month, and suggest, "Why not participate in an art workshop at the local community center on August 10th?" This suggestion would then be notified to the user's terminal and offered as further options.

[0038] Next, the user selects some of the proposals and solicits opinions from other potential participants via LINE. At this stage, the server compiles the responses from each participant and uses them to determine the optimal schedule.

[0039] Finally, the finalized schedule is notified to all participants, and reservations and reminders are automatically managed as needed. In this way, users can significantly reduce the workload of event planning and focus on the parent-child activities that they should be enjoying.

[0040] The following describes the processing flow.

[0041] Step 1:

[0042] The user launches the LINE application on their device and summons the AI ​​agent within a specific group chat. The user then sends a message expressing a specific request, such as "I want to plan an event for children."

[0043] Step 2:

[0044] The device sends the entered message to the server via the LINE API. This message includes initial information such as the purpose and wishes of the event.

[0045] Step 3:

[0046] The server analyzes received messages using natural language processing, parses the event request content, and then automatically generates event suggestions that take into account the user's past history and preferences, the current season, and regional information.

[0047] Step 4:

[0048] The server sends the generated proposals to the user's terminal. These proposals may include specific examples, such as "Hold an art workshop at the local community center on August 10th."

[0049] Step 5:

[0050] Users consider the options from the proposals displayed on their devices and send messages to other members within the LINE group to schedule a meeting in order to gather opinions from prospective participants.

[0051] Step 6:

[0052] Each member will reply via LINE message indicating their available dates and opinions.

[0053] Step 7:

[0054] The server aggregates the responses from each member and runs an algorithm to calculate the optimal date. As a result of this process, the best date is selected.

[0055] Step 8:

[0056] The server will use LINE's voting function to notify all members of the final confirmed schedule.

[0057] Step 9:

[0058] The server informs participants of the finalized schedule and automatically manages and sends reminders and detailed information based on that schedule, according to the planned date.

[0059] (Example 1)

[0060] 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."

[0061] Efficiently managing events and projects involving many people presents a wide range of challenges, including information sharing, scheduling, and gathering feedback from participants. Furthermore, it's difficult to propose optimal plans that consider participants' preferences and past experiences. Therefore, it's necessary to reduce the burden on planners while ensuring a schedule that satisfies all participants.

[0062] 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.

[0063] In this invention, the server includes means for analyzing data on plans submitted by users and generating plan proposals using a generation AI; means for aggregating participants' opinions and collecting member feedback through prompt messages; and means for notifying users of the finalized schedule and automatically managing reservations and reminders. This makes it possible to reduce the planner's workload while increasing participant satisfaction through the optimization and automation of the plan.

[0064] A "user" refers to an individual or group that uses the system to manage plans and events.

[0065] "Information terminal" refers to hardware devices such as mobile phones and tablets that users use to input information.

[0066] "Planning management" refers to the integrated management of all processes related to planning, such as generating event and schedule proposals, scheduling, and notifying participants.

[0067] "Means of receiving data" refers to the function that allows the server to receive plan information sent by the user.

[0068] "Generative AI" refers to an algorithm that uses artificial intelligence technology to analyze data and generate plan proposals.

[0069] A "prompt statement" refers to a guiding statement used to gather opinions from members who are expected to participate in the plan.

[0070] "Methods for automatically managing reservations and reminders" refer to functions that make relevant reservations based on a confirmed schedule and send event reminders to participants.

[0071] "External information sources" refer to information providers who provide data on local events and seasonal events in the areas the system uses.

[0072] "Past records and preferences" refers to data that shows the user's history of events they have participated in and their personal preferences.

[0073] This invention is a system that allows users to efficiently manage plans and events using an information terminal. Users initiate the planning and management process by inputting event details using an information terminal such as a mobile phone or tablet. The information entered by the user is transmitted from the terminal to a server, which then uses that information to formulate and propose a plan.

[0074] The server uses a generative AI model to analyze received data and generate optimal plan suggestions, taking into account the user's past records and preferences, as well as seasonal and regional information from external sources. This allows the user to automatically receive suggestions for appropriate event dates and content. The generated suggestions are then notified from the server to the user's information terminal.

[0075] Users can select plans that interest them from the proposed options and solicit opinions from other potential participants. An example of a prompt message that can be used in this process is, "Would you like to join our art workshop on August 10th?"

[0076] The server aggregates feedback from participants, utilizes a generative AI model to determine the optimal schedule, and notifies all participants. In addition, it automatically manages necessary bookings and reminders based on the finalized schedule. This system reduces the burden of complex planning and management, making it easier to successfully run events.

[0077] The flow of the specific processing in Example 1 will be explained using Figure 11.

[0078] Step 1:

[0079] The user activates their information terminal and launches an application for planning an event. The user enters details of the event, such as "I want to plan a workshop for children," into an input form and presses the submit button. The input in this process consists of basic event information (purpose, desired date, etc.), and the output is this information represented as organized JSON data, which is sent to the server.

[0080] Step 2:

[0081] The terminal transmits user-entered information to the server via a communication platform. The terminal uses a specific API (Application Programming Interface) to appropriately package the input information and transfers the data to the server using a secure protocol (e.g., HTTPS). In this step, the input is the raw data entered by the user, and the output is the formatted data received by the server.

[0082] Step 3:

[0083] The server parses the JSON data received from the terminal. It parses the received data to identify each field (e.g., event type, desired date, location). Utilizing a generative AI model, it analyzes the user's past participation history and preferences in the database to generate event suggestions based on current seasons and local events. The input is the event information received by the server, and the output is the event suggestions provided to the user.

[0084] Step 4:

[0085] The server sends the generated event proposal back to the terminal. This proposal includes multiple candidate dates and event details, and is provided as a schedule proposal optimized for the user. Specifically, the server packages the event proposal in JSON format and sends it back to the terminal via secure communication. The input is data related to the plan proposal, and the output is information received on the user's terminal as a notification.

[0086] Step 5:

[0087] The user checks notifications on their device and selects an event that interests them from the suggested events. The user then uses a messaging app such as LINE to gather opinions from other members who might be considering participating in the selected event. At this stage, a prompt message is used to send a message to participants such as, "Would you like to join the art workshop on August 10th?" The input is the selected event information, and the output is the prompt message sent to the members.

[0088] Step 6:

[0089] The server collects and aggregates responses from users and their members. Based on feedback from the planning participants, the server again uses the generative AI model to execute an algorithm to determine the optimal schedule. The input is the opinions of the participants, and the output is the determined optimal event schedule information.

[0090] Step 7:

[0091] Ultimately, the server notifies all participants of the finalized event schedule and automatically manages necessary bookings and reminder settings. The server sends this information to the terminal in notification format, supporting users and participants in ensuring they don't miss anything in their event preparations. The input is the finalized event schedule, and the output is notifications and automatically managed booking information for products or services.

[0092] (Application Example 1)

[0093] 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."

[0094] In today's living environment, smoothly managing household events is important for many families, but there is a lack of tools to do so efficiently. In particular, there is a need for a system that considers the schedules of all family members, suggests optimal events, and automatically sends notifications.

[0095] 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.

[0096] In this invention, the server includes means for analyzing information and generating event suggestions, means for coordinating with in-home autonomous devices to present and notify event information based on voice commands, and means for notifying the final determined date. This enables users to efficiently and effectively manage events within their homes.

[0097] A "user" refers to an individual or organization that uses this system to manage events.

[0098] "Communication equipment" refers to a medium used by users to send and receive information, and mainly includes mobile terminals and computer devices.

[0099] "Event proposal" refers to an optimal event plan generated by AI based on user requests.

[0100] "Scheduling" refers to the process of determining an appropriate date and time based on the proposed event.

[0101] "Gathering participant opinions" means collecting and compiling participants' thoughts and preferences regarding potential event dates.

[0102] "Autonomous home devices" are devices that operate automatically in a home environment and present information to the user, and include robots and smart devices.

[0103] "Voice commands" refer to instructions or commands that users give to autonomous devices in their homes using their voice.

[0104] "Notification" refers to the act of informing users and participants of information, and is carried out via electronic means.

[0105] The system implementing this invention is designed to enable users to effectively manage events using autonomous devices within their homes. First, the user informs the system via a communication device that they wish to plan an event. In response, the server uses a generative AI model to generate event suggestions. These suggestions are created on the AI ​​platform through an optimization process based on past history and user preferences.

[0106] The server is configured to allow autonomous home devices to make suggestions and send notifications to the user in response to voice commands. Specifically, home robots and smart devices use their voice output functions to notify the user of event details. Furthermore, communication methods such as the LINE API are used to electronically transmit event information to the user and other participants.

[0107] Specific instructions that users can give to the generated AI model might include prompts such as, "Plan a barbecue party for the family. Can you suggest the best date considering the schedules of the participants?"

[0108] By linking autonomous home devices with communication equipment, users can receive information in real time, enabling smooth event management. Through this system, users can efficiently manage the schedules of the entire family and enjoy planning richer family events.

[0109] The flow of a specific process in Application Example 1 will be explained using Figure 12.

[0110] Step 1:

[0111] The user uses a communication device to instruct the system on how to plan an event. The user enters prompt messages into the communication device and sends them to the system. This input is either voice or text data that is analyzed by a generative AI model.

[0112] Step 2:

[0113] The server receives input data from the user and generates event suggestions using a generative AI model based on that data. The server analyzes the input data and creates multiple event suggestions, taking into account the user's preferences and past history. In this process, the user's requests are matched with information stored in the database.

[0114] Step 3:

[0115] The server sends the generated event proposals to the home autonomous device. The home autonomous device presents the received information to the user via voice or display. This step involves formatting the information for delivery through visual or auditory means.

[0116] Step 4:

[0117] The user receives suggestions from the in-home autonomous device and selects the desired event. The user's selection is sent back to the server as input data. The selection data is collected on the server and used as the basis for scheduling.

[0118] Step 5:

[0119] The server collects user selection data and participant schedule information to determine the optimal date and time. This server process uses an algorithm that aggregates schedule data from each participant and calculates the most available date and time.

[0120] Step 6:

[0121] The finalized schedule is transmitted from the server to the home autonomous devices and communication devices. The home autonomous devices notify the user of the schedule via voice and display, and the communication devices use the LINE API to send electronic notifications to all participants. This notification is delivered in message format, including schedule information.

[0122] 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.

[0123] This invention is a system that recognizes user emotions and dynamically adjusts the event management process based on them. The system is provided by combining an emotion engine with a series of functions, from receiving information from the user, generating event proposals, scheduling, aggregating opinions, and final notification.

[0124] The user activates the AI ​​agent via the LINE application using their device. The user's message is sent from the device to the server, and during this process, the emotion engine analyzes the user's message content and typing speed to evaluate their emotional state.

[0125] The server analyzes received event information, integrates the user's past history, preferences, and seasonal and regional event information from external sources, and generates suggestions. It can also fine-tune the suggestions using the user's emotional state evaluation output by the emotion engine. For example, if a user is feeling stressed, suggestions will prioritize less burdensome events.

[0126] Furthermore, when other participants respond within the LINE group, the sentiment engine analyzes those messages as well and takes them into consideration when consolidating opinions. If multiple users express dissatisfaction, the server can initiate a re-suggestion process to review the options.

[0127] Once the final schedule is determined, the server notifies all participants of the result, and the content of the notification message is adjusted based on the instructions of the emotion engine. For example, if positive emotions are detected, energetic expressions can be added to the notification.

[0128] In this way, this system goes beyond mere automated event management, aiming to provide a more personalized experience that takes user emotions into account and improve user satisfaction.

[0129] The following describes the processing flow.

[0130] Step 1:

[0131] Users use the LINE application on their device to summon an AI agent within a group chat, enter an outline of the event they want to plan as a message, and send it.

[0132] Step 2:

[0133] The device sends this user's message to the server via the LINE API. This message contains the entered text.

[0134] Step 3:

[0135] The server analyzes the received message using natural language processing techniques to extract the event type, purpose, and required conditions.

[0136] Step 4:

[0137] The emotion engine within the server identifies the emotional state of a user from their messages. This is done by analyzing the message content, delivery speed, and past interactions.

[0138] Step 5:

[0139] The event suggestion generation unit creates suggestions based on analysis results and the evaluation of the emotion engine, taking into account the user's past history and preferences, the current season, and regional information. If the emotion indicates signs of stress, it prioritizes suggesting events that promote relaxation.

[0140] Step 6:

[0141] The proposal is sent from the server to the terminal and displayed as a notification on the user's terminal. The user can review the proposal and further adjust their options.

[0142] Step 7:

[0143] A message based on a prepared proposal is sent to prospective participants via LINE to schedule an event, and the process of gathering their opinions on available dates begins.

[0144] Step 8:

[0145] The server receives each message returned by the participants and uses the emotion engine to evaluate their emotional state. If there are many negative emotions, the server may also make a revised suggestion.

[0146] Step 9:

[0147] Once opinions are gathered, the server calculates the optimal schedule and finalizes it.

[0148] Step 10:

[0149] The confirmed schedule is sent from the server to the terminal as a notification. Based on the analysis results of the emotion engine, the wording of this notification is adjusted to suit the user's preferences. Positive expressions may be used more frequently.

[0150] Following this sequence, the system manages events while taking user emotions into consideration, thereby achieving a highly satisfying service.

[0151] (Example 2)

[0152] 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".

[0153] Few event management systems take user emotions into account, making it difficult to increase participant satisfaction with existing systems. In particular, there is a lack of means to dynamically adjust suggestions to match the individual needs of a large number of users with diverse emotional states. Therefore, there is a need for a system that includes a function to analyze user emotions and provide personalized suggestions based on that analysis.

[0154] 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.

[0155] In this invention, the server includes means for receiving information-related data, means for analyzing the data and generating information suggestions, and means for evaluating the user's emotional state using an emotion analysis device and adjusting the content of the suggestions. This makes it possible to generate suggestions that take into account the individual emotional state of the user.

[0156] A "communication device" is a technical device used to receive and transmit data from a user.

[0157] "Information management" is the process of organizing and processing data, with the aim of providing useful information to users.

[0158] "Data analysis" is a technical process that processes received information and derives meaningful results.

[0159] "Proposal generation" refers to the act of constructing useful options and solutions for users based on analysis results.

[0160] "Adjustment" is the process of optimizing a state based on different information and circumstances.

[0161] An "emotion analysis device" is a technological element that identifies emotions from a user's messages and actions and evaluates their state.

[0162] "Opinion aggregation" is the process of gathering opinions from multiple users to arrive at a common conclusion or set of options.

[0163] The "optimal outcome" is the conclusion that best suits the user's needs and circumstances and maximizes their satisfaction.

[0164] "Notification" is the act of explicitly communicating confirmed information to all relevant parties.

[0165] This invention relates to a system that recognizes user emotions and adjusts the event management process accordingly. Specifically, a user accesses an AI agent using a communication device and transmits information about an event. In this process, the terminal sends data to a server via the LINE application. Upon receiving the message, the server evaluates the user's emotional state using an emotion analysis device.

[0166] Based on the evaluated emotional state, the server generates appropriate event suggestions based on the user's past history data and preferences. In generating these suggestions, data processing libraries such as "Pandas" and "NumPy" are utilized during the data analysis process. Furthermore, the server uses "NLTK" and "TextBlob" as emotion engines to analyze message content and evaluate the user's emotional state in detail.

[0167] The generated event proposals are refined in conjunction with aggregated opinions from other participants. This process also involves analyzing and aggregating the messages of other participants. Once the server confirms the optimal proposal, it uses the Twilio API to notify the final result. This notification includes an encouraging message tailored to the user's emotions, derived from sentiment analysis.

[0168] As a concrete example, consider a case where a user wants a relaxing event for the weekend. If the user sends a message saying, "Please suggest some relaxing events for this weekend," the server can take into account the user's stress level and suggest low-stress activities such as watching a movie or visiting a nature park.

[0169] Examples of prompts for a generative AI model are shown below:

[0170] "Please suggest relaxing weekend events that take into account the users' feelings. Users generally enjoy enjoying nature."

[0171] In this way, the present invention aims to realize personalized suggestions that take user emotions into consideration and to improve overall system satisfaction.

[0172] The flow of the specific processing in Example 2 will be explained using Figure 13.

[0173] Step 1:

[0174] The user accesses the AI ​​agent via a communication service using their device and enters a message containing specific event requests or questions. The input is the user's event request message. The output is this message sent to the server via the LINE application.

[0175] Step 2:

[0176] The server retrieves user messages received from the LINE application. It then analyzes the message content using an emotion analyzer and evaluates the user's emotional state. Specifically, it uses natural language processing libraries (such as "NLTK" or "TextBlob") to determine whether the emotion is positive or negative and extracts the stress level. Based on the input, it classifies the emotion and obtains the evaluated emotional state as output.

[0177] Step 3:

[0178] The server retrieves user history and preference information from the database based on the sentiment evaluation results to generate event suggestions. It then processes the data using libraries such as "Pandas" and "NumPy" to generate candidate events suitable for the user. Sentiment state and user history data are used as input, and a list of candidate events is generated as output.

[0179] Step 4:

[0180] The server adjusts the generated event list based on the user's emotional state. If the user is assessed as being highly stressed, it prioritizes events that promote relaxation. Specifically, it filters the event list and selects the events most suitable for the user. This data processing results in optimized event suggestions that are tailored to the user's emotional state.

[0181] Step 5:

[0182] When other participants submit feedback within the LINE group, the server analyzes it again using a sentiment analyzer. It determines whether the feedback is positive or negative and uses this data to determine the most satisfactory proposal. Based on this input, revisions or adjustments may be made. The output consists of information about revisions and finalized events.

[0183] Step 6:

[0184] The server notifies all participants of the finalized event proposal. The result notification includes encouraging and energetic expressions to reflect the user's emotional state. The data used is the determined event information, and the message corresponding to the emotion is output. The notification is sent to the user's device via the "Twilio" API.

[0185] (Application Example 2)

[0186] 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".

[0187] Traditional event management systems have the problem of failing to adequately enhance user satisfaction because they provide uniform schedules and notifications without considering the emotional state of the users. Furthermore, they lack flexibility in proposals and notifications, making it difficult to provide personalized support that meets the needs and circumstances of each participant.

[0188] 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.

[0189] In this invention, the server includes means for analyzing the user's emotional state and adjusting event suggestions based on that analysis, means for adjusting notification content based on the emotional analysis, and means for receiving event-related information from the user via a communication medium for event management. This enables personalized event suggestions and notifications that take emotions into consideration.

[0190] A "communication medium" is a means of exchanging data and information, and includes electronic messaging applications and the internet.

[0191] "Event management" refers to the entire process that includes planning, coordinating, and notifying users of their schedules and activities.

[0192] "Emotional state" refers to the state of the user's psychological condition and emotions, and is inferred from text analysis and typing speed.

[0193] "Sentiment analysis" is the process of analyzing information from users and evaluating their emotions and moods.

[0194] "Event suggestions" refer to possible activities and schedules presented based on the user's preferences and circumstances.

[0195] "Notification content" refers to messages used to communicate confirmed information or schedules to users.

[0196] Personalization means providing suggestions and notifications that are tailored and optimized according to the individual user's characteristics and preferences.

[0197] The specific system for implementing this invention mainly consists of a server and a user terminal. Users manage events through a messaging application, which is a communication medium, using an information terminal such as a smartphone or tablet.

[0198] The server receives messages from users and analyzes them using an emotion analysis engine. Emotion analysis utilizes software incorporating natural language processing techniques and machine learning algorithms, such as open-source natural language processing libraries or custom-developed AI models. The server determines the user's emotional state based on the message content, relevant day-night cycles, typing speed, and other factors. Based on this emotional state assessment, it then generates personalized event suggestions for each individual user.

[0199] Information obtained from sentiment analysis is used to adjust the proposed content to reflect the user's expectations and desires for the event, and is also taken into consideration when aggregating opinions from all participants. The proposed event is optimized based on the user's past history, current situation, and seasonal and regional information obtained from external sources.

[0200] The final adjusted notification content is tailored to the user's emotional state. For example, if the user is stressed, the message will be phrased in a relaxing manner, and if positive emotions are detected, it will include encouraging comments. To achieve this, the server uses a flexible notification message generation algorithm.

[0201] For example, if a user wants to adjust their holiday plans, the server uses sentiment analysis to detect that the user is seeking relaxation and suggests activities such as a picnic in a quiet park. If the event involves multiple family members or friends, the server adjusts the schedule while considering the feelings of each participant. An example of a prompt used in this process might be, "Please think of relaxation methods to suggest when the user is feeling stressed."

[0202] The goal is to create a system where servers and terminals work together to ensure that the information and experiences provided to users go beyond mere automation and incorporate deep consideration tailored to each individual's emotional state.

[0203] The flow of a specific process in Application Example 2 will be explained using Figure 14.

[0204] Step 1:

[0205] The terminal receives event management requests from users via a messaging application. These requests include details such as the desired event content and date. The terminal sends this information to the server in real time.

[0206] Input: User event management request

[0207] Output: Request data sent to the server

[0208] Step 2:

[0209] The server analyzes the user's request data. This analysis extracts necessary event information from the message content and evaluates the user's emotional state using natural language processing techniques. A generative AI model is used to identify the emotional attributes of the message.

[0210] Input: Request data

[0211] Output: Event information and sentiment data

[0212] Step 3:

[0213] The server generates event suggestions based on the user's emotional state. Here, it creates the optimal plan by considering the user's past history and preferences, as well as external seasonal and regional information. Based on evaluations from the emotion engine, data processing is performed to select events that reduce stress and evoke positive emotions.

[0214] Input: Sentiment data and user history

[0215] Output: Tailor-made event proposals

[0216] Step 4:

[0217] The server adjusts the schedule based on the proposed event and sends the proposal to the relevant participants. The server then gathers participant feedback and uses that feedback to determine the optimal date. This process includes sentiment analysis to evaluate opinions.

[0218] Input: Event proposals and participant responses

[0219] Output: Finalized schedule

[0220] Step 5:

[0221] After the final schedule is determined, the server generates a notification message and adjusts its content using sentiment analysis results. Positive expressions and words of encouragement are added before the notification is sent to the device. This makes the information received feel more personal to the user.

[0222] Input: Confirmed schedule and sentiment data

[0223] Output: Adjusted notification message

[0224] Through these steps, the servers and terminals provide users with a personalized, emotionally resonant event management experience.

[0225] 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.

[0226] 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.

[0227] 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.

[0228] [Second Embodiment]

[0229] Figure 3 shows an example of the configuration of the data processing system 210 according to the second embodiment.

[0230] 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.

[0231] 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).

[0232] 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.

[0233] 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.

[0234] 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).

[0235] 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.

[0236] 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.

[0237] 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.

[0238] 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.

[0239] 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.

[0240] 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".

[0241] This invention is a system that allows users to use their mobile devices to summon an AI agent on a specific communication platform to manage events. The key feature of the invention is that it automates a series of processes, from creating event proposals to finalizing schedules and sending notifications.

[0242] In the operation of the system, the user first activates the AI ​​agent using an application installed on their terminal. For example, the user might input into the application that they want to plan a workshop for children. This information is then sent from the terminal to the server.

[0243] The server analyzes the received information and generates detailed event suggestions. These suggestions include plans based on the user's past event participation history and preferences, as well as current season and regional information. The suggestions typically include multiple candidate dates and event details and are provided as an optimized schedule.

[0244] For example, the server could analyze art-related events a user has previously attended, compare them with the local event calendar for the following month, and suggest, "Why not participate in an art workshop at the local community center on August 10th?" This suggestion would then be notified to the user's terminal and offered as further options.

[0245] Next, the user selects some of the proposals and solicits opinions from other potential participants via LINE. At this stage, the server compiles the responses from each participant and uses them to determine the optimal schedule.

[0246] Finally, the finalized schedule is notified to all participants, and reservations and reminders are automatically managed as needed. In this way, users can significantly reduce the workload of event planning and focus on the parent-child activities that they should be enjoying.

[0247] The following describes the processing flow.

[0248] Step 1:

[0249] The user launches the LINE application on their device and summons the AI ​​agent within a specific group chat. The user then sends a message expressing a specific request, such as "I want to plan an event for children."

[0250] Step 2:

[0251] The device sends the entered message to the server via the LINE API. This message includes initial information such as the purpose and wishes of the event.

[0252] Step 3:

[0253] The server analyzes received messages using natural language processing, parses the event request content, and then automatically generates event suggestions that take into account the user's past history and preferences, the current season, and regional information.

[0254] Step 4:

[0255] The server sends the generated proposals to the user's terminal. These proposals may include specific examples, such as "Hold an art workshop at the local community center on August 10th."

[0256] Step 5:

[0257] Users consider the options from the proposals displayed on their devices and send messages to other members within the LINE group to schedule a meeting in order to gather opinions from prospective participants.

[0258] Step 6:

[0259] Each member will reply via LINE message indicating their available dates and opinions.

[0260] Step 7:

[0261] The server aggregates the responses from each member and runs an algorithm to calculate the optimal date. As a result of this process, the best date is selected.

[0262] Step 8:

[0263] The server will use LINE's voting function to notify all members of the final confirmed schedule.

[0264] Step 9:

[0265] The server informs participants of the finalized schedule and automatically manages and sends reminders and detailed information based on that schedule, according to the planned date.

[0266] (Example 1)

[0267] 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."

[0268] Efficiently managing events and projects involving many people presents a wide range of challenges, including information sharing, scheduling, and gathering feedback from participants. Furthermore, it's difficult to propose optimal plans that consider participants' preferences and past experiences. Therefore, it's necessary to reduce the burden on planners while ensuring a schedule that satisfies all participants.

[0269] 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.

[0270] In this invention, the server includes means for analyzing data on plans submitted by users and generating plan proposals using a generation AI; means for aggregating participants' opinions and collecting member feedback through prompt messages; and means for notifying users of the finalized schedule and automatically managing reservations and reminders. This makes it possible to reduce the planner's workload while increasing participant satisfaction through the optimization and automation of the plan.

[0271] A "user" refers to an individual or group that uses the system to manage plans and events.

[0272] "Information terminal" refers to hardware devices such as mobile phones and tablets that users use to input information.

[0273] "Planning management" refers to the integrated management of all processes related to planning, such as generating event and schedule proposals, scheduling, and notifying participants.

[0274] "Means of receiving data" refers to the function that allows the server to receive plan information sent by the user.

[0275] "Generative AI" refers to an algorithm that uses artificial intelligence technology to analyze data and generate plan proposals.

[0276] A "prompt statement" refers to a guiding statement used to gather opinions from members who are expected to participate in the plan.

[0277] "Methods for automatically managing reservations and reminders" refer to functions that make relevant reservations based on a confirmed schedule and send event reminders to participants.

[0278] "External information sources" refer to information providers who provide data on local events and seasonal events in the areas the system uses.

[0279] "Past records and preferences" refers to data that shows the user's history of events they have participated in and their personal preferences.

[0280] This invention is a system that allows users to efficiently manage plans and events using an information terminal. Users initiate the planning and management process by inputting event details using an information terminal such as a mobile phone or tablet. The information entered by the user is transmitted from the terminal to a server, which then uses that information to formulate and propose a plan.

[0281] The server uses a generative AI model to analyze the received data and generate an optimal plan proposal considering the user's past records, preferences, and seasonal and regional information from external information sources. As a result, the user is proposed appropriate event schedules and contents in an automated manner. At that time, the generated proposal is notified from the server to the information terminal.

[0282] The user can select something of interest from the proposed plans and solicit opinions from the members who plan to participate. As an example of the prompt sentence at this time, a leading sentence such as "Would you like to participate in the art workshop on August 10th?" can be used.

[0283] The server aggregates the opinions from the participants, re-utilizes the generative AI model to determine the optimal schedule, and notifies all participants. In addition, based on the determined schedule, it also has a function to automatically manage the necessary reservation arrangements and reminders before the scheduled date. By using this system, the user can reduce the burden of complex plan management and easily succeed in the event.

[0284] The flow of the specific process in Example 1 will be described using FIG. 11.

[0285] Step 1:

[0286] The user activates the information terminal and launches an application for event planning. The user enters the details of the event, such as "I want to plan a workshop for children", into the input form and presses the send button. The input in this step is the basic information of the event (purpose, desired date, etc.), and the output is represented as JSON data in which this information is organized and sent to the server.

[0287] Step 2:

[0288] The terminal transmits user-entered information to the server via a communication platform. The terminal uses a specific API (Application Programming Interface) to appropriately package the input information and transfers the data to the server using a secure protocol (e.g., HTTPS). In this step, the input is the raw data entered by the user, and the output is the formatted data received by the server.

[0289] Step 3:

[0290] The server parses the JSON data received from the terminal. It parses the received data to identify each field (e.g., event type, desired date, location). Utilizing a generative AI model, it analyzes the user's past participation history and preferences in the database to generate event suggestions based on current seasons and local events. The input is the event information received by the server, and the output is the event suggestions provided to the user.

[0291] Step 4:

[0292] The server sends the generated event proposal back to the terminal. This proposal includes multiple candidate dates and event details, and is provided as a schedule proposal optimized for the user. Specifically, the server packages the event proposal in JSON format and sends it back to the terminal via secure communication. The input is data related to the plan proposal, and the output is information received on the user's terminal as a notification.

[0293] Step 5:

[0294] The user checks notifications on their device and selects an event that interests them from the suggested events. The user then uses a messaging app such as LINE to gather opinions from other members who might be considering participating in the selected event. At this stage, a prompt message is used to send a message to participants such as, "Would you like to join the art workshop on August 10th?" The input is the selected event information, and the output is the prompt message sent to the members.

[0295] Step 6:

[0296] The server collects and aggregates responses from users and their members. Based on feedback from the planning participants, the server again uses the generative AI model to execute an algorithm to determine the optimal schedule. The input is the opinions of the participants, and the output is the determined optimal event schedule information.

[0297] Step 7:

[0298] Ultimately, the server notifies all participants of the finalized event schedule and automatically manages necessary bookings and reminder settings. The server sends this information to the terminal in notification format, supporting users and participants in ensuring they don't miss anything in their event preparations. The input is the finalized event schedule, and the output is notifications and automatically managed booking information for products or services.

[0299] (Application Example 1)

[0300] 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."

[0301] In today's living environment, smoothly managing household events is important for many families, but there is a lack of tools to do so efficiently. In particular, there is a need for a system that considers the schedules of all family members, suggests optimal events, and automatically sends notifications.

[0302] 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.

[0303] In this invention, the server includes means for analyzing information and generating event proposals, means for presenting and notifying event information based on voice instructions in cooperation with home autonomous devices, and means for notifying the finally determined schedule. As a result, the user can efficiently and effectively manage events within the home.

[0304] The "user" refers to an individual or group that manages events using this system.

[0305] The "communication device" is a medium used by the user to send and receive information, mainly including mobile terminals and computer devices.

[0306] The "event proposal" refers to a draft of an optimal event plan generated by AI based on the user's requirements.

[0307] "Schedule adjustment" refers to the process of determining an appropriate date and time based on the proposed event.

[0308] "Aggregating participants' opinions" means collecting and tallying the thoughts and wishes of participants regarding event candidate dates.

[0309] The "home autonomous device" is a device that automatically operates in a home environment and presents information to the user, including robots and smart devices.

[0310] The "voice instruction" refers to an instruction or command given by the user to a home autonomous device using voice.

[0311] "Notification" is an act of informing users and participants of information, which is carried out via electronic means.

[0312] The system implementing this invention is designed to enable users to effectively manage events using autonomous devices within their homes. First, the user informs the system via a communication device that they wish to plan an event. In response, the server uses a generative AI model to generate event suggestions. These suggestions are created on the AI ​​platform through an optimization process based on past history and user preferences.

[0313] The server is configured to allow autonomous home devices to make suggestions and send notifications to the user in response to voice commands. Specifically, home robots and smart devices use their voice output functions to notify the user of event details. Furthermore, communication methods such as the LINE API are used to electronically transmit event information to the user and other participants.

[0314] Specific instructions that users can give to the generated AI model might include prompts such as, "Plan a barbecue party for the family. Can you suggest the best date considering the schedules of the participants?"

[0315] By linking autonomous home devices with communication equipment, users can receive information in real time, enabling smooth event management. Through this system, users can efficiently manage the schedules of the entire family and enjoy planning richer family events.

[0316] The flow of a specific process in Application Example 1 will be explained using Figure 12.

[0317] Step 1:

[0318] The user uses a communication device to instruct the system on how to plan an event. The user enters prompt messages into the communication device and sends them to the system. This input is either voice or text data that is analyzed by a generative AI model.

[0319] Step 2:

[0320] The server receives input data from the user and generates event suggestions using a generative AI model based on that data. The server analyzes the input data and creates multiple event suggestions, taking into account the user's preferences and past history. In this process, the user's requests are matched with information stored in the database.

[0321] Step 3:

[0322] The server sends the generated event proposals to the home autonomous device. The home autonomous device presents the received information to the user via voice or display. This step involves formatting the information for delivery through visual or auditory means.

[0323] Step 4:

[0324] The user receives suggestions from the in-home autonomous device and selects the desired event. The user's selection is sent back to the server as input data. The selection data is collected on the server and used as the basis for scheduling.

[0325] Step 5:

[0326] The server collects user selection data and participant schedule information to determine the optimal date and time. This server process uses an algorithm that aggregates schedule data from each participant and calculates the most available date and time.

[0327] Step 6:

[0328] The finalized schedule is transmitted from the server to the home autonomous devices and communication devices. The home autonomous devices notify the user of the schedule via voice and display, and the communication devices use the LINE API to send electronic notifications to all participants. This notification is delivered in message format, including schedule information.

[0329] 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.

[0330] This invention is a system that recognizes user emotions and dynamically adjusts the event management process based on them. The system is provided by combining an emotion engine with a series of functions, from receiving information from the user, generating event proposals, scheduling, aggregating opinions, and final notification.

[0331] The user activates the AI ​​agent via the LINE application using their device. The user's message is sent from the device to the server, and during this process, the emotion engine analyzes the user's message content and typing speed to evaluate their emotional state.

[0332] The server analyzes received event information, integrates the user's past history, preferences, and seasonal and regional event information from external sources, and generates suggestions. It can also fine-tune the suggestions using the user's emotional state evaluation output by the emotion engine. For example, if a user is feeling stressed, suggestions will prioritize less burdensome events.

[0333] Furthermore, when other participants respond within the LINE group, the sentiment engine analyzes those messages as well and takes them into consideration when consolidating opinions. If multiple users express dissatisfaction, the server can initiate a re-suggestion process to review the options.

[0334] Once the final schedule is determined, the server notifies all participants of the result, and the content of the notification message is adjusted based on the instructions of the emotion engine. For example, if positive emotions are detected, energetic expressions can be added to the notification.

[0335] In this way, this system goes beyond mere automated event management, aiming to provide a more personalized experience that takes user emotions into account and improve user satisfaction.

[0336] The following describes the processing flow.

[0337] Step 1:

[0338] Users use the LINE application on their device to summon an AI agent within a group chat, enter an outline of the event they want to plan as a message, and send it.

[0339] Step 2:

[0340] The device sends this user's message to the server via the LINE API. This message contains the entered text.

[0341] Step 3:

[0342] The server analyzes the received message using natural language processing techniques to extract the event type, purpose, and required conditions.

[0343] Step 4:

[0344] The emotion engine within the server identifies the emotional state of a user from their messages. This is done by analyzing the message content, delivery speed, and past interactions.

[0345] Step 5:

[0346] The event suggestion generation unit creates suggestions based on analysis results and the evaluation of the emotion engine, taking into account the user's past history and preferences, the current season, and regional information. If the emotion indicates signs of stress, it prioritizes suggesting events that promote relaxation.

[0347] Step 6:

[0348] The proposal is sent from the server to the terminal and displayed as a notification on the user's terminal. The user can review the proposal and further adjust their options.

[0349] Step 7:

[0350] A message based on a prepared proposal is sent to prospective participants via LINE to schedule an event, and the process of gathering their opinions on available dates begins.

[0351] Step 8:

[0352] The server receives each message returned by the participants and uses the emotion engine to evaluate their emotional state. If there are many negative emotions, the server may also make a revised suggestion.

[0353] Step 9:

[0354] Once opinions are gathered, the server calculates the optimal schedule and finalizes it.

[0355] Step 10:

[0356] The confirmed schedule is sent from the server to the terminal as a notification. Based on the analysis results of the emotion engine, the wording of this notification is adjusted to suit the user's preferences. Positive expressions may be used more frequently.

[0357] Following this sequence, the system manages events while taking user emotions into consideration, thereby achieving a highly satisfying service.

[0358] (Example 2)

[0359] 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".

[0360] Few event management systems take user emotions into account, making it difficult to increase participant satisfaction with existing systems. In particular, there is a lack of means to dynamically adjust suggestions to match the individual needs of a large number of users with diverse emotional states. Therefore, there is a need for a system that includes a function to analyze user emotions and provide personalized suggestions based on that analysis.

[0361] 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.

[0362] In this invention, the server includes means for receiving information-related data, means for analyzing the data and generating information suggestions, and means for evaluating the user's emotional state using an emotion analysis device and adjusting the content of the suggestions. This makes it possible to generate suggestions that take into account the individual emotional state of the user.

[0363] A "communication device" is a technical device used to receive and transmit data from a user.

[0364] "Information management" is the process of organizing and processing data, with the aim of providing useful information to users.

[0365] "Data analysis" is a technical process that processes received information and derives meaningful results.

[0366] "Proposal generation" refers to the act of constructing useful options and solutions for users based on analysis results.

[0367] "Adjustment" is the process of optimizing a state based on different information and circumstances.

[0368] An "emotion analysis device" is a technological element that identifies emotions from a user's messages and actions and evaluates their state.

[0369] "Opinion aggregation" is the process of gathering opinions from multiple users to arrive at a common conclusion or set of options.

[0370] The "optimal outcome" is the conclusion that best suits the user's needs and circumstances and maximizes their satisfaction.

[0371] "Notification" is the act of explicitly communicating confirmed information to all relevant parties.

[0372] This invention relates to a system that recognizes user emotions and adjusts the event management process accordingly. Specifically, a user accesses an AI agent using a communication device and transmits information about an event. In this process, the terminal sends data to a server via the LINE application. Upon receiving the message, the server evaluates the user's emotional state using an emotion analysis device.

[0373] Based on the evaluated emotional state, the server generates appropriate event suggestions based on the user's past history data and preferences. In generating these suggestions, data processing libraries such as "Pandas" and "NumPy" are utilized during the data analysis process. Furthermore, the server uses "NLTK" and "TextBlob" as emotion engines to analyze message content and evaluate the user's emotional state in detail.

[0374] The generated event proposals are refined in conjunction with aggregated opinions from other participants. This process also involves analyzing and aggregating the messages of other participants. Once the server confirms the optimal proposal, it uses the Twilio API to notify the final result. This notification includes an encouraging message tailored to the user's emotions, derived from sentiment analysis.

[0375] As a concrete example, consider a case where a user wants a relaxing event for the weekend. If the user sends a message saying, "Please suggest some relaxing events for this weekend," the server can take into account the user's stress level and suggest low-stress activities such as watching a movie or visiting a nature park.

[0376] Examples of prompts for a generative AI model are shown below:

[0377] "Please suggest relaxing weekend events that take into account the users' feelings. Users generally enjoy enjoying nature."

[0378] In this way, the present invention aims to realize personalized suggestions that take user emotions into consideration and to improve overall system satisfaction.

[0379] The flow of the specific processing in Example 2 will be explained using Figure 13.

[0380] Step 1:

[0381] The user accesses the AI ​​agent via a communication service using their device and enters a message containing specific event requests or questions. The input is the user's event request message. The output is this message sent to the server via the LINE application.

[0382] Step 2:

[0383] The server retrieves user messages received from the LINE application. It then analyzes the message content using an emotion analyzer and evaluates the user's emotional state. Specifically, it uses natural language processing libraries (such as "NLTK" or "TextBlob") to determine whether the emotion is positive or negative and extracts the stress level. Based on the input, it classifies the emotion and obtains the evaluated emotional state as output.

[0384] Step 3:

[0385] The server retrieves user history and preference information from the database based on the sentiment evaluation results to generate event suggestions. It then processes the data using libraries such as "Pandas" and "NumPy" to generate candidate events suitable for the user. Sentiment state and user history data are used as input, and a list of candidate events is generated as output.

[0386] Step 4:

[0387] The server adjusts the generated event list based on the user's emotional state. If the user is assessed as being highly stressed, it prioritizes events that promote relaxation. Specifically, it filters the event list and selects the events most suitable for the user. This data processing results in optimized event suggestions that are tailored to the user's emotional state.

[0388] Step 5:

[0389] When other participants submit feedback within the LINE group, the server analyzes it again using a sentiment analyzer. It determines whether the feedback is positive or negative and uses this data to determine the most satisfactory proposal. Based on this input, revisions or adjustments may be made. The output consists of information about revisions and finalized events.

[0390] Step 6:

[0391] The server notifies all participants of the finalized event proposal. The result notification includes encouraging and energetic expressions to reflect the user's emotional state. The data used is the determined event information, and the message corresponding to the emotion is output. The notification is sent to the user's device via the "Twilio" API.

[0392] (Application Example 2)

[0393] 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."

[0394] Traditional event management systems have the problem of failing to adequately enhance user satisfaction because they provide uniform schedules and notifications without considering the emotional state of the users. Furthermore, they lack flexibility in proposals and notifications, making it difficult to provide personalized support that meets the needs and circumstances of each participant.

[0395] 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.

[0396] In this invention, the server includes means for analyzing the user's emotional state and adjusting event suggestions based on that analysis, means for adjusting notification content based on the emotional analysis, and means for receiving event-related information from the user via a communication medium for event management. This enables personalized event suggestions and notifications that take emotions into consideration.

[0397] A "communication medium" is a means of exchanging data and information, and includes electronic messaging applications and the internet.

[0398] "Event management" refers to the entire process that includes planning, coordinating, and notifying users of their schedules and activities.

[0399] "Emotional state" refers to the state of the user's psychological condition and emotions, and is inferred from text analysis and typing speed.

[0400] "Sentiment analysis" is the process of analyzing information from users and evaluating their emotions and moods.

[0401] "Event suggestions" refer to possible activities and schedules presented based on the user's preferences and circumstances.

[0402] "Notification content" refers to messages used to communicate confirmed information or schedules to users.

[0403] Personalization means providing suggestions and notifications that are tailored and optimized according to the individual user's characteristics and preferences.

[0404] The specific system for implementing this invention mainly consists of a server and a user terminal. Users manage events through a messaging application, which is a communication medium, using an information terminal such as a smartphone or tablet.

[0405] The server receives messages from users and analyzes them using an emotion analysis engine. Emotion analysis utilizes software incorporating natural language processing techniques and machine learning algorithms, such as open-source natural language processing libraries or custom-developed AI models. The server determines the user's emotional state based on the message content, relevant day-night cycles, typing speed, and other factors. Based on this emotional state assessment, it then generates personalized event suggestions for each individual user.

[0406] Information obtained from sentiment analysis is used to adjust the proposed content to reflect the user's expectations and desires for the event, and is also taken into consideration when aggregating opinions from all participants. The proposed event is optimized based on the user's past history, current situation, and seasonal and regional information obtained from external sources.

[0407] The final adjusted notification content is tailored to the user's emotional state. For example, if the user is stressed, the message will be phrased in a relaxing manner, and if positive emotions are detected, it will include encouraging comments. To achieve this, the server uses a flexible notification message generation algorithm.

[0408] For example, if a user wants to adjust their holiday plans, the server uses sentiment analysis to detect that the user is seeking relaxation and suggests activities such as a picnic in a quiet park. If the event involves multiple family members or friends, the server adjusts the schedule while considering the feelings of each participant. An example of a prompt used in this process might be, "Please think of relaxation methods to suggest when the user is feeling stressed."

[0409] The goal is to create a system where servers and terminals work together to ensure that the information and experiences provided to users go beyond mere automation and incorporate deep consideration tailored to each individual's emotional state.

[0410] The flow of a specific process in Application Example 2 will be explained using Figure 14.

[0411] Step 1:

[0412] The terminal receives event management requests from users via a messaging application. These requests include details such as the desired event content and date. The terminal sends this information to the server in real time.

[0413] Input: User event management request

[0414] Output: Request data sent to the server

[0415] Step 2:

[0416] The server analyzes the user's request data. This analysis extracts necessary event information from the message content and evaluates the user's emotional state using natural language processing techniques. A generative AI model is used to identify the emotional attributes of the message.

[0417] Input: Request data

[0418] Output: Event information and sentiment data

[0419] Step 3:

[0420] The server generates event suggestions based on the user's emotional state. Here, it creates the optimal plan by considering the user's past history and preferences, as well as external seasonal and regional information. Based on evaluations from the emotion engine, data processing is performed to select events that reduce stress and evoke positive emotions.

[0421] Input: Sentiment data and user history

[0422] Output: Tailor-made event proposals

[0423] Step 4:

[0424] The server adjusts the schedule based on the proposed event and sends the proposal to the relevant participants. The server then gathers participant feedback and uses that feedback to determine the optimal date. This process includes sentiment analysis to evaluate opinions.

[0425] Input: Event proposals and participant responses

[0426] Output: Finalized schedule

[0427] Step 5:

[0428] After the final schedule is determined, the server generates a notification message and adjusts its content using sentiment analysis results. Positive expressions and words of encouragement are added before the notification is sent to the device. This makes the information received feel more personal to the user.

[0429] Input: Confirmed schedule and sentiment data

[0430] Output: Adjusted notification message

[0431] Through these steps, the servers and terminals provide users with a personalized, emotionally resonant event management experience.

[0432] 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.

[0433] 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.

[0434] 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.

[0435] [Third Embodiment]

[0436] Figure 5 shows an example of the configuration of the data processing system 310 according to the third embodiment.

[0437] 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.

[0438] 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).

[0439] 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.

[0440] 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.

[0441] 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).

[0442] 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.

[0443] 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.

[0444] 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.

[0445] 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.

[0446] 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.

[0447] 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".

[0448] This invention is a system that allows users to use their mobile devices to summon an AI agent on a specific communication platform to manage events. The key feature of the invention is that it automates a series of processes, from creating event proposals to finalizing schedules and sending notifications.

[0449] In the operation of the system, the user first activates the AI ​​agent using an application installed on their terminal. For example, the user might input into the application that they want to plan a workshop for children. This information is then sent from the terminal to the server.

[0450] The server analyzes the received information and generates detailed event suggestions. These suggestions include plans based on the user's past event participation history and preferences, as well as current season and regional information. The suggestions typically include multiple candidate dates and event details and are provided as an optimized schedule.

[0451] For example, the server could analyze art-related events a user has previously attended, compare them with the local event calendar for the following month, and suggest, "Why not participate in an art workshop at the local community center on August 10th?" This suggestion would then be notified to the user's terminal and offered as further options.

[0452] Next, the user selects some of the proposals and solicits opinions from other potential participants via LINE. At this stage, the server compiles the responses from each participant and uses them to determine the optimal schedule.

[0453] Finally, the finalized schedule is notified to all participants, and reservations and reminders are automatically managed as needed. In this way, users can significantly reduce the workload of event planning and focus on the parent-child activities that they should be enjoying.

[0454] The following describes the processing flow.

[0455] Step 1:

[0456] The user launches the LINE application on their device and summons the AI ​​agent within a specific group chat. The user then sends a message expressing a specific request, such as "I want to plan an event for children."

[0457] Step 2:

[0458] The device sends the entered message to the server via the LINE API. This message includes initial information such as the purpose and wishes of the event.

[0459] Step 3:

[0460] The server analyzes received messages using natural language processing, parses the event request content, and then automatically generates event suggestions that take into account the user's past history and preferences, the current season, and regional information.

[0461] Step 4:

[0462] The server sends the generated proposals to the user's terminal. These proposals may include specific examples, such as "Hold an art workshop at the local community center on August 10th."

[0463] Step 5:

[0464] Users consider the options from the proposals displayed on their devices and send messages to other members within the LINE group to schedule a meeting in order to gather opinions from prospective participants.

[0465] Step 6:

[0466] Each member will reply via LINE message indicating their available dates and opinions.

[0467] Step 7:

[0468] The server aggregates the responses from each member and runs an algorithm to calculate the optimal date. As a result of this process, the best date is selected.

[0469] Step 8:

[0470] The server will use LINE's voting function to notify all members of the final confirmed schedule.

[0471] Step 9:

[0472] The server informs participants of the finalized schedule and automatically manages and sends reminders and detailed information based on that schedule, according to the planned date.

[0473] (Example 1)

[0474] 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."

[0475] Efficiently managing events and projects involving many people presents a wide range of challenges, including information sharing, scheduling, and gathering feedback from participants. Furthermore, it's difficult to propose optimal plans that consider participants' preferences and past experiences. Therefore, it's necessary to reduce the burden on planners while ensuring a schedule that satisfies all participants.

[0476] 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.

[0477] In this invention, the server includes means for analyzing data on plans submitted by users and generating plan proposals using a generation AI; means for aggregating participants' opinions and collecting member feedback through prompt messages; and means for notifying users of the finalized schedule and automatically managing reservations and reminders. This makes it possible to reduce the planner's workload while increasing participant satisfaction through the optimization and automation of the plan.

[0478] A "user" refers to an individual or group that uses the system to manage plans and events.

[0479] "Information terminal" refers to hardware devices such as mobile phones and tablets that users use to input information.

[0480] "Planning management" refers to the integrated management of all processes related to planning, such as generating event and schedule proposals, scheduling, and notifying participants.

[0481] "Means of receiving data" refers to the function that allows the server to receive plan information sent by the user.

[0482] "Generative AI" refers to an algorithm that uses artificial intelligence technology to analyze data and generate plan proposals.

[0483] A "prompt statement" refers to a guiding statement used to gather opinions from members who are expected to participate in the plan.

[0484] "Methods for automatically managing reservations and reminders" refer to functions that make relevant reservations based on a confirmed schedule and send event reminders to participants.

[0485] "External information sources" refer to information providers who provide data on local events and seasonal events in the areas the system uses.

[0486] "Past records and preferences" refers to data that shows the user's history of events they have participated in and their personal preferences.

[0487] This invention is a system that allows users to efficiently manage plans and events using an information terminal. Users initiate the planning and management process by inputting event details using an information terminal such as a mobile phone or tablet. The information entered by the user is transmitted from the terminal to a server, which then uses that information to formulate and propose a plan.

[0488] The server uses a generative AI model to analyze received data and generate optimal plan suggestions, taking into account the user's past records and preferences, as well as seasonal and regional information from external sources. This allows the user to automatically receive suggestions for appropriate event dates and content. The generated suggestions are then notified from the server to the user's information terminal.

[0489] Users can select plans that interest them from the proposed options and solicit opinions from other potential participants. An example of a prompt message that can be used in this process is, "Would you like to join our art workshop on August 10th?"

[0490] The server aggregates feedback from participants, utilizes a generative AI model to determine the optimal schedule, and notifies all participants. In addition, it automatically manages necessary bookings and reminders based on the finalized schedule. This system reduces the burden of complex planning and management, making it easier to successfully run events.

[0491] The flow of the specific processing in Example 1 will be explained using Figure 11.

[0492] Step 1:

[0493] The user activates their information terminal and launches an application for planning an event. The user enters details of the event, such as "I want to plan a workshop for children," into an input form and presses the submit button. The input in this process consists of basic event information (purpose, desired date, etc.), and the output is this information represented as organized JSON data, which is sent to the server.

[0494] Step 2:

[0495] The terminal transmits user-entered information to the server via a communication platform. The terminal uses a specific API (Application Programming Interface) to appropriately package the input information and transfers the data to the server using a secure protocol (e.g., HTTPS). In this step, the input is the raw data entered by the user, and the output is the formatted data received by the server.

[0496] Step 3:

[0497] The server parses the JSON data received from the terminal. It parses the received data to identify each field (e.g., event type, desired date, location). Utilizing a generative AI model, it analyzes the user's past participation history and preferences in the database to generate event suggestions based on current seasons and local events. The input is the event information received by the server, and the output is the event suggestions provided to the user.

[0498] Step 4:

[0499] The server sends the generated event proposal back to the terminal. This proposal includes multiple candidate dates and event details, and is provided as a schedule proposal optimized for the user. Specifically, the server packages the event proposal in JSON format and sends it back to the terminal via secure communication. The input is data related to the plan proposal, and the output is information received on the user's terminal as a notification.

[0500] Step 5:

[0501] The user checks notifications on their device and selects an event that interests them from the suggested events. The user then uses a messaging app such as LINE to gather opinions from other members who might be considering participating in the selected event. At this stage, a prompt message is used to send a message to participants such as, "Would you like to join the art workshop on August 10th?" The input is the selected event information, and the output is the prompt message sent to the members.

[0502] Step 6:

[0503] The server collects and aggregates responses from users and their members. Based on feedback from the planning participants, the server again uses the generative AI model to execute an algorithm to determine the optimal schedule. The input is the opinions of the participants, and the output is the determined optimal event schedule information.

[0504] Step 7:

[0505] Ultimately, the server notifies all participants of the finalized event schedule and automatically manages necessary bookings and reminder settings. The server sends this information to the terminal in notification format, supporting users and participants in ensuring they don't miss anything in their event preparations. The input is the finalized event schedule, and the output is notifications and automatically managed booking information for products or services.

[0506] (Application Example 1)

[0507] 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."

[0508] In today's living environment, smoothly managing household events is important for many families, but there is a lack of tools to do so efficiently. In particular, there is a need for a system that considers the schedules of all family members, suggests optimal events, and automatically sends notifications.

[0509] 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.

[0510] In this invention, the server includes means for analyzing information and generating event suggestions, means for coordinating with in-home autonomous devices to present and notify event information based on voice commands, and means for notifying the final determined date. This enables users to efficiently and effectively manage events within their homes.

[0511] A "user" refers to an individual or organization that uses this system to manage events.

[0512] "Communication equipment" refers to a medium used by users to send and receive information, and mainly includes mobile terminals and computer devices.

[0513] "Event proposal" refers to an optimal event plan generated by AI based on user requests.

[0514] "Scheduling" refers to the process of determining an appropriate date and time based on the proposed event.

[0515] "Gathering participant opinions" means collecting and compiling participants' thoughts and preferences regarding potential event dates.

[0516] "Autonomous home devices" are devices that operate automatically in a home environment and present information to the user, and include robots and smart devices.

[0517] "Voice commands" refer to instructions or commands that users give to autonomous devices in their homes using their voice.

[0518] "Notification" refers to the act of informing users and participants of information, and is carried out via electronic means.

[0519] The system implementing this invention is designed to enable users to effectively manage events using autonomous devices within their homes. First, the user informs the system via a communication device that they wish to plan an event. In response, the server uses a generative AI model to generate event suggestions. These suggestions are created on the AI ​​platform through an optimization process based on past history and user preferences.

[0520] The server is configured to allow autonomous home devices to make suggestions and send notifications to the user in response to voice commands. Specifically, home robots and smart devices use their voice output functions to notify the user of event details. Furthermore, communication methods such as the LINE API are used to electronically transmit event information to the user and other participants.

[0521] Specific instructions that users can give to the generated AI model might include prompts such as, "Plan a barbecue party for the family. Can you suggest the best date considering the schedules of the participants?"

[0522] By linking autonomous home devices with communication equipment, users can receive information in real time, enabling smooth event management. Through this system, users can efficiently manage the schedules of the entire family and enjoy planning richer family events.

[0523] The flow of a specific process in Application Example 1 will be explained using Figure 12.

[0524] Step 1:

[0525] The user uses a communication device to instruct the system on how to plan an event. The user enters prompt messages into the communication device and sends them to the system. This input is either voice or text data that is analyzed by a generative AI model.

[0526] Step 2:

[0527] The server receives input data from the user and generates event suggestions using a generative AI model based on that data. The server analyzes the input data and creates multiple event suggestions, taking into account the user's preferences and past history. In this process, the user's requests are matched with information stored in the database.

[0528] Step 3:

[0529] The server sends the generated event proposals to the home autonomous device. The home autonomous device presents the received information to the user via voice or display. This step involves formatting the information for delivery through visual or auditory means.

[0530] Step 4:

[0531] The user receives suggestions from the in-home autonomous device and selects the desired event. The user's selection is sent back to the server as input data. The selection data is collected on the server and used as the basis for scheduling.

[0532] Step 5:

[0533] The server collects user selection data and participant schedule information to determine the optimal date and time. This server process uses an algorithm that aggregates schedule data from each participant and calculates the most available date and time.

[0534] Step 6:

[0535] The finalized schedule is transmitted from the server to the home autonomous devices and communication devices. The home autonomous devices notify the user of the schedule via voice and display, and the communication devices use the LINE API to send electronic notifications to all participants. This notification is delivered in message format, including schedule information.

[0536] 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.

[0537] This invention is a system that recognizes user emotions and dynamically adjusts the event management process based on them. The system is provided by combining an emotion engine with a series of functions, from receiving information from the user, generating event proposals, scheduling, aggregating opinions, and final notification.

[0538] The user activates the AI ​​agent via the LINE application using their device. The user's message is sent from the device to the server, and during this process, the emotion engine analyzes the user's message content and typing speed to evaluate their emotional state.

[0539] The server analyzes received event information, integrates the user's past history, preferences, and seasonal and regional event information from external sources, and generates suggestions. It can also fine-tune the suggestions using the user's emotional state evaluation output by the emotion engine. For example, if a user is feeling stressed, suggestions will prioritize less burdensome events.

[0540] Furthermore, when other participants respond within the LINE group, the sentiment engine analyzes those messages as well and takes them into consideration when consolidating opinions. If multiple users express dissatisfaction, the server can initiate a re-suggestion process to review the options.

[0541] Once the final schedule is determined, the server notifies all participants of the result, and the content of the notification message is adjusted based on the instructions of the emotion engine. For example, if positive emotions are detected, energetic expressions can be added to the notification.

[0542] In this way, this system goes beyond mere automated event management, aiming to provide a more personalized experience that takes user emotions into account and improve user satisfaction.

[0543] The following describes the processing flow.

[0544] Step 1:

[0545] Users use the LINE application on their device to summon an AI agent within a group chat, enter an outline of the event they want to plan as a message, and send it.

[0546] Step 2:

[0547] The device sends this user's message to the server via the LINE API. This message contains the entered text.

[0548] Step 3:

[0549] The server analyzes the received message using natural language processing techniques to extract the event type, purpose, and required conditions.

[0550] Step 4:

[0551] The emotion engine within the server identifies the emotional state of a user from their messages. This is done by analyzing the message content, delivery speed, and past interactions.

[0552] Step 5:

[0553] The event suggestion generation unit creates suggestions based on analysis results and the evaluation of the emotion engine, taking into account the user's past history and preferences, the current season, and regional information. If the emotion indicates signs of stress, it prioritizes suggesting events that promote relaxation.

[0554] Step 6:

[0555] The proposal is sent from the server to the terminal and displayed as a notification on the user's terminal. The user can review the proposal and further adjust their options.

[0556] Step 7:

[0557] A message based on a prepared proposal is sent to prospective participants via LINE to schedule an event, and the process of gathering their opinions on available dates begins.

[0558] Step 8:

[0559] The server receives each message returned by the participants and uses the emotion engine to evaluate their emotional state. If there are many negative emotions, the server may also make a revised suggestion.

[0560] Step 9:

[0561] Once opinions are gathered, the server calculates the optimal schedule and finalizes it.

[0562] Step 10:

[0563] The confirmed schedule is sent from the server to the terminal as a notification. Based on the analysis results of the emotion engine, the wording of this notification is adjusted to suit the user's preferences. Positive expressions may be used more frequently.

[0564] Following this sequence, the system manages events while taking user emotions into consideration, thereby achieving a highly satisfying service.

[0565] (Example 2)

[0566] 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."

[0567] Few event management systems take user emotions into account, making it difficult to increase participant satisfaction with existing systems. In particular, there is a lack of means to dynamically adjust suggestions to match the individual needs of a large number of users with diverse emotional states. Therefore, there is a need for a system that includes a function to analyze user emotions and provide personalized suggestions based on that analysis.

[0568] 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.

[0569] In this invention, the server includes means for receiving information-related data, means for analyzing the data and generating information suggestions, and means for evaluating the user's emotional state using an emotion analysis device and adjusting the content of the suggestions. This makes it possible to generate suggestions that take into account the individual emotional state of the user.

[0570] A "communication device" is a technical device used to receive and transmit data from a user.

[0571] "Information management" is the process of organizing and processing data, with the aim of providing useful information to users.

[0572] "Data analysis" is a technical process that processes received information and derives meaningful results.

[0573] "Proposal generation" refers to the act of constructing useful options and solutions for users based on analysis results.

[0574] "Adjustment" is the process of optimizing a state based on different information and circumstances.

[0575] An "emotion analysis device" is a technological element that identifies emotions from a user's messages and actions and evaluates their state.

[0576] "Opinion aggregation" is the process of gathering opinions from multiple users to arrive at a common conclusion or set of options.

[0577] The "optimal outcome" is the conclusion that best suits the user's needs and circumstances and maximizes their satisfaction.

[0578] "Notification" is the act of explicitly communicating confirmed information to all relevant parties.

[0579] This invention relates to a system that recognizes user emotions and adjusts the event management process accordingly. Specifically, a user accesses an AI agent using a communication device and transmits information about an event. In this process, the terminal sends data to a server via the LINE application. Upon receiving the message, the server evaluates the user's emotional state using an emotion analysis device.

[0580] Based on the evaluated emotional state, the server generates appropriate event suggestions based on the user's past history data and preferences. In generating these suggestions, data processing libraries such as "Pandas" and "NumPy" are utilized during the data analysis process. Furthermore, the server uses "NLTK" and "TextBlob" as emotion engines to analyze message content and evaluate the user's emotional state in detail.

[0581] The generated event proposals are refined in conjunction with aggregated opinions from other participants. This process also involves analyzing and aggregating the messages of other participants. Once the server confirms the optimal proposal, it uses the Twilio API to notify the final result. This notification includes an encouraging message tailored to the user's emotions, derived from sentiment analysis.

[0582] As a concrete example, consider a case where a user wants a relaxing event for the weekend. If the user sends a message saying, "Please suggest some relaxing events for this weekend," the server can take into account the user's stress level and suggest low-stress activities such as watching a movie or visiting a nature park.

[0583] Examples of prompts for a generative AI model are shown below:

[0584] "Please suggest relaxing weekend events that take into account the users' feelings. Users generally enjoy enjoying nature."

[0585] In this way, the present invention aims to realize personalized suggestions that take user emotions into consideration and to improve overall system satisfaction.

[0586] The flow of the specific processing in Example 2 will be explained using Figure 13.

[0587] Step 1:

[0588] The user accesses the AI ​​agent via a communication service using their device and enters a message containing specific event requests or questions. The input is the user's event request message. The output is this message sent to the server via the LINE application.

[0589] Step 2:

[0590] The server retrieves user messages received from the LINE application. It then analyzes the message content using an emotion analyzer and evaluates the user's emotional state. Specifically, it uses natural language processing libraries (such as "NLTK" or "TextBlob") to determine whether the emotion is positive or negative and extracts the stress level. Based on the input, it classifies the emotion and obtains the evaluated emotional state as output.

[0591] Step 3:

[0592] The server retrieves user history and preference information from the database based on the sentiment evaluation results to generate event suggestions. It then processes the data using libraries such as "Pandas" and "NumPy" to generate candidate events suitable for the user. Sentiment state and user history data are used as input, and a list of candidate events is generated as output.

[0593] Step 4:

[0594] The server adjusts the generated event list based on the user's emotional state. If the user is assessed as being highly stressed, it prioritizes events that promote relaxation. Specifically, it filters the event list and selects the events most suitable for the user. This data processing results in optimized event suggestions that are tailored to the user's emotional state.

[0595] Step 5:

[0596] When other participants submit feedback within the LINE group, the server analyzes it again using a sentiment analyzer. It determines whether the feedback is positive or negative and uses this data to determine the most satisfactory proposal. Based on this input, revisions or adjustments may be made. The output consists of information about revisions and finalized events.

[0597] Step 6:

[0598] The server notifies all participants of the finalized event proposal. The result notification includes encouraging and energetic expressions to reflect the user's emotional state. The data used is the determined event information, and the message corresponding to the emotion is output. The notification is sent to the user's device via the "Twilio" API.

[0599] (Application Example 2)

[0600] 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."

[0601] Traditional event management systems have the problem of failing to adequately enhance user satisfaction because they provide uniform schedules and notifications without considering the emotional state of the users. Furthermore, they lack flexibility in proposals and notifications, making it difficult to provide personalized support that meets the needs and circumstances of each participant.

[0602] 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.

[0603] In this invention, the server includes means for analyzing the user's emotional state and adjusting event suggestions based on that analysis, means for adjusting notification content based on the emotional analysis, and means for receiving event-related information from the user via a communication medium for event management. This enables personalized event suggestions and notifications that take emotions into consideration.

[0604] A "communication medium" is a means of exchanging data and information, and includes electronic messaging applications and the internet.

[0605] "Event management" refers to the entire process that includes planning, coordinating, and notifying users of their schedules and activities.

[0606] "Emotional state" refers to the state of the user's psychological condition and emotions, and is inferred from text analysis and typing speed.

[0607] "Sentiment analysis" is the process of analyzing information from users and evaluating their emotions and moods.

[0608] "Event suggestions" refer to possible activities and schedules presented based on the user's preferences and circumstances.

[0609] "Notification content" refers to messages used to communicate confirmed information or schedules to users.

[0610] Personalization means providing suggestions and notifications that are tailored and optimized according to the individual user's characteristics and preferences.

[0611] The specific system for implementing this invention mainly consists of a server and a user terminal. Users manage events through a messaging application, which is a communication medium, using an information terminal such as a smartphone or tablet.

[0612] The server receives messages from users and analyzes them using an emotion analysis engine. Emotion analysis utilizes software incorporating natural language processing techniques and machine learning algorithms, such as open-source natural language processing libraries or custom-developed AI models. The server determines the user's emotional state based on the message content, relevant day-night cycles, typing speed, and other factors. Based on this emotional state assessment, it then generates personalized event suggestions for each individual user.

[0613] Information obtained from sentiment analysis is used to adjust the proposed content to reflect the user's expectations and desires for the event, and is also taken into consideration when aggregating opinions from all participants. The proposed event is optimized based on the user's past history, current situation, and seasonal and regional information obtained from external sources.

[0614] The final adjusted notification content is tailored to the user's emotional state. For example, if the user is stressed, the message will be phrased in a relaxing manner, and if positive emotions are detected, it will include encouraging comments. To achieve this, the server uses a flexible notification message generation algorithm.

[0615] For example, if a user wants to adjust their holiday plans, the server uses sentiment analysis to detect that the user is seeking relaxation and suggests activities such as a picnic in a quiet park. If the event involves multiple family members or friends, the server adjusts the schedule while considering the feelings of each participant. An example of a prompt used in this process might be, "Please think of relaxation methods to suggest when the user is feeling stressed."

[0616] The goal is to create a system where servers and terminals work together to ensure that the information and experiences provided to users go beyond mere automation and incorporate deep consideration tailored to each individual's emotional state.

[0617] The flow of a specific process in Application Example 2 will be explained using Figure 14.

[0618] Step 1:

[0619] The terminal receives event management requests from users via a messaging application. These requests include details such as the desired event content and date. The terminal sends this information to the server in real time.

[0620] Input: User event management request

[0621] Output: Request data sent to the server

[0622] Step 2:

[0623] The server analyzes the user's request data. This analysis extracts necessary event information from the message content and evaluates the user's emotional state using natural language processing techniques. A generative AI model is used to identify the emotional attributes of the message.

[0624] Input: Request data

[0625] Output: Event information and sentiment data

[0626] Step 3:

[0627] The server generates event suggestions based on the user's emotional state. Here, it creates the optimal plan by considering the user's past history and preferences, as well as external seasonal and regional information. Based on evaluations from the emotion engine, data processing is performed to select events that reduce stress and evoke positive emotions.

[0628] Input: Sentiment data and user history

[0629] Output: Tailor-made event proposals

[0630] Step 4:

[0631] The server adjusts the schedule based on the proposed event and sends the proposal to the relevant participants. The server then gathers participant feedback and uses that feedback to determine the optimal date. This process includes sentiment analysis to evaluate opinions.

[0632] Input: Event proposals and participant responses

[0633] Output: Finalized schedule

[0634] Step 5:

[0635] After the final schedule is determined, the server generates a notification message and adjusts its content using sentiment analysis results. Positive expressions and words of encouragement are added before the notification is sent to the device. This makes the information received feel more personal to the user.

[0636] Input: Confirmed schedule and sentiment data

[0637] Output: Adjusted notification message

[0638] Through these steps, the servers and terminals provide users with a personalized, emotionally resonant event management experience.

[0639] 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.

[0640] 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.

[0641] 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.

[0642] [Fourth Embodiment]

[0643] Figure 7 shows an example of the configuration of the data processing system 410 according to the fourth embodiment.

[0644] 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.

[0645] 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).

[0646] 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.

[0647] 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.

[0648] 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).

[0649] 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.

[0650] 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.

[0651] 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.

[0652] 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.

[0653] 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.

[0654] 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.

[0655] 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".

[0656] This invention is a system that allows users to use their mobile devices to summon an AI agent on a specific communication platform to manage events. The key feature of the invention is that it automates a series of processes, from creating event proposals to finalizing schedules and sending notifications.

[0657] In the operation of the system, the user first activates the AI ​​agent using an application installed on their terminal. For example, the user might input into the application that they want to plan a workshop for children. This information is then sent from the terminal to the server.

[0658] The server analyzes the received information and generates detailed event suggestions. These suggestions include plans based on the user's past event participation history and preferences, as well as current season and regional information. The suggestions typically include multiple candidate dates and event details and are provided as an optimized schedule.

[0659] For example, the server could analyze art-related events a user has previously attended, compare them with the local event calendar for the following month, and suggest, "Why not participate in an art workshop at the local community center on August 10th?" This suggestion would then be notified to the user's terminal and offered as further options.

[0660] Next, the user selects some of the proposals and solicits opinions from other potential participants via LINE. At this stage, the server compiles the responses from each participant and uses them to determine the optimal schedule.

[0661] Finally, the finalized schedule is notified to all participants, and reservations and reminders are automatically managed as needed. In this way, users can significantly reduce the workload of event planning and focus on the parent-child activities that they should be enjoying.

[0662] The following describes the processing flow.

[0663] Step 1:

[0664] The user launches the LINE application on their device and summons the AI ​​agent within a specific group chat. The user then sends a message expressing a specific request, such as "I want to plan an event for children."

[0665] Step 2:

[0666] The device sends the entered message to the server via the LINE API. This message includes initial information such as the purpose and wishes of the event.

[0667] Step 3:

[0668] The server analyzes received messages using natural language processing, parses the event request content, and then automatically generates event suggestions that take into account the user's past history and preferences, the current season, and regional information.

[0669] Step 4:

[0670] The server sends the generated proposals to the user's terminal. These proposals may include specific examples, such as "Hold an art workshop at the local community center on August 10th."

[0671] Step 5:

[0672] Users consider the options from the proposals displayed on their devices and send messages to other members within the LINE group to schedule a meeting in order to gather opinions from prospective participants.

[0673] Step 6:

[0674] Each member will reply via LINE message indicating their available dates and opinions.

[0675] Step 7:

[0676] The server aggregates the responses from each member and runs an algorithm to calculate the optimal date. As a result of this process, the best date is selected.

[0677] Step 8:

[0678] The server will use LINE's voting function to notify all members of the final confirmed schedule.

[0679] Step 9:

[0680] The server informs participants of the finalized schedule and automatically manages and sends reminders and detailed information based on that schedule, according to the planned date.

[0681] (Example 1)

[0682] 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".

[0683] Efficiently managing events and projects involving many people presents a wide range of challenges, including information sharing, scheduling, and gathering feedback from participants. Furthermore, it's difficult to propose optimal plans that consider participants' preferences and past experiences. Therefore, it's necessary to reduce the burden on planners while ensuring a schedule that satisfies all participants.

[0684] 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.

[0685] In this invention, the server includes means for analyzing data on plans submitted by users and generating plan proposals using a generation AI; means for aggregating participants' opinions and collecting member feedback through prompt messages; and means for notifying users of the finalized schedule and automatically managing reservations and reminders. This makes it possible to reduce the planner's workload while increasing participant satisfaction through the optimization and automation of the plan.

[0686] A "user" refers to an individual or group that uses the system to manage plans and events.

[0687] "Information terminal" refers to hardware devices such as mobile phones and tablets that users use to input information.

[0688] "Planning management" refers to the integrated management of all processes related to planning, such as generating event and schedule proposals, scheduling, and notifying participants.

[0689] "Means of receiving data" refers to the function that allows the server to receive plan information sent by the user.

[0690] "Generative AI" refers to an algorithm that uses artificial intelligence technology to analyze data and generate plan proposals.

[0691] A "prompt statement" refers to a guiding statement used to gather opinions from members who are expected to participate in the plan.

[0692] "Methods for automatically managing reservations and reminders" refer to functions that make relevant reservations based on a confirmed schedule and send event reminders to participants.

[0693] "External information sources" refer to information providers who provide data on local events and seasonal events in the areas the system uses.

[0694] "Past records and preferences" refers to data that shows the user's history of events they have participated in and their personal preferences.

[0695] This invention is a system that allows users to efficiently manage plans and events using an information terminal. Users initiate the planning and management process by inputting event details using an information terminal such as a mobile phone or tablet. The information entered by the user is transmitted from the terminal to a server, which then uses that information to formulate and propose a plan.

[0696] The server uses a generative AI model to analyze received data and generate optimal plan suggestions, taking into account the user's past records and preferences, as well as seasonal and regional information from external sources. This allows the user to automatically receive suggestions for appropriate event dates and content. The generated suggestions are then notified from the server to the user's information terminal.

[0697] Users can select plans that interest them from the proposed options and solicit opinions from other potential participants. An example of a prompt message that can be used in this process is, "Would you like to join our art workshop on August 10th?"

[0698] The server aggregates feedback from participants, utilizes a generative AI model to determine the optimal schedule, and notifies all participants. In addition, it automatically manages necessary bookings and reminders based on the finalized schedule. This system reduces the burden of complex planning and management, making it easier to successfully run events.

[0699] The flow of the specific processing in Example 1 will be explained using Figure 11.

[0700] Step 1:

[0701] The user activates their information terminal and launches an application for planning an event. The user enters details of the event, such as "I want to plan a workshop for children," into an input form and presses the submit button. The input in this process consists of basic event information (purpose, desired date, etc.), and the output is this information represented as organized JSON data, which is sent to the server.

[0702] Step 2:

[0703] The terminal transmits user-entered information to the server via a communication platform. The terminal uses a specific API (Application Programming Interface) to appropriately package the input information and transfers the data to the server using a secure protocol (e.g., HTTPS). In this step, the input is the raw data entered by the user, and the output is the formatted data received by the server.

[0704] Step 3:

[0705] The server parses the JSON data received from the terminal. It parses the received data to identify each field (e.g., event type, desired date, location). Utilizing a generative AI model, it analyzes the user's past participation history and preferences in the database to generate event suggestions based on current seasons and local events. The input is the event information received by the server, and the output is the event suggestions provided to the user.

[0706] Step 4:

[0707] The server sends the generated event proposal back to the terminal. This proposal includes multiple candidate dates and event details, and is provided as a schedule proposal optimized for the user. Specifically, the server packages the event proposal in JSON format and sends it back to the terminal via secure communication. The input is data related to the plan proposal, and the output is information received on the user's terminal as a notification.

[0708] Step 5:

[0709] The user checks notifications on their device and selects an event that interests them from the suggested events. The user then uses a messaging app such as LINE to gather opinions from other members who might be considering participating in the selected event. At this stage, a prompt message is used to send a message to participants such as, "Would you like to join the art workshop on August 10th?" The input is the selected event information, and the output is the prompt message sent to the members.

[0710] Step 6:

[0711] The server collects and aggregates responses from users and their members. Based on feedback from the planning participants, the server again uses the generative AI model to execute an algorithm to determine the optimal schedule. The input is the opinions of the participants, and the output is the determined optimal event schedule information.

[0712] Step 7:

[0713] Ultimately, the server notifies all participants of the finalized event schedule and automatically manages necessary bookings and reminder settings. The server sends this information to the terminal in notification format, supporting users and participants in ensuring they don't miss anything in their event preparations. The input is the finalized event schedule, and the output is notifications and automatically managed booking information for products or services.

[0714] (Application Example 1)

[0715] 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".

[0716] In today's living environment, smoothly managing household events is important for many families, but there is a lack of tools to do so efficiently. In particular, there is a need for a system that considers the schedules of all family members, suggests optimal events, and automatically sends notifications.

[0717] 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.

[0718] In this invention, the server includes means for analyzing information and generating event suggestions, means for coordinating with in-home autonomous devices to present and notify event information based on voice commands, and means for notifying the final determined date. This enables users to efficiently and effectively manage events within their homes.

[0719] A "user" refers to an individual or organization that uses this system to manage events.

[0720] "Communication equipment" refers to a medium used by users to send and receive information, and mainly includes mobile terminals and computer devices.

[0721] "Event proposal" refers to an optimal event plan generated by AI based on user requests.

[0722] "Scheduling" refers to the process of determining an appropriate date and time based on the proposed event.

[0723] "Gathering participant opinions" means collecting and compiling participants' thoughts and preferences regarding potential event dates.

[0724] "Autonomous home devices" are devices that operate automatically in a home environment and present information to the user, and include robots and smart devices.

[0725] "Voice commands" refer to instructions or commands that users give to autonomous devices in their homes using their voice.

[0726] "Notification" refers to the act of informing users and participants of information, and is carried out via electronic means.

[0727] The system implementing this invention is designed to enable users to effectively manage events using autonomous devices within their homes. First, the user informs the system via a communication device that they wish to plan an event. In response, the server uses a generative AI model to generate event suggestions. These suggestions are created on the AI ​​platform through an optimization process based on past history and user preferences.

[0728] The server is configured to allow autonomous home devices to make suggestions and send notifications to the user in response to voice commands. Specifically, home robots and smart devices use their voice output functions to notify the user of event details. Furthermore, communication methods such as the LINE API are used to electronically transmit event information to the user and other participants.

[0729] Specific instructions that users can give to the generated AI model might include prompts such as, "Plan a barbecue party for the family. Can you suggest the best date considering the schedules of the participants?"

[0730] By linking autonomous home devices with communication equipment, users can receive information in real time, enabling smooth event management. Through this system, users can efficiently manage the schedules of the entire family and enjoy planning richer family events.

[0731] The flow of a specific process in Application Example 1 will be explained using Figure 12.

[0732] Step 1:

[0733] The user uses a communication device to instruct the system on how to plan an event. The user enters prompt messages into the communication device and sends them to the system. This input is either voice or text data that is analyzed by a generative AI model.

[0734] Step 2:

[0735] The server receives input data from the user and generates event suggestions using a generative AI model based on that data. The server analyzes the input data and creates multiple event suggestions, taking into account the user's preferences and past history. In this process, the user's requests are matched with information stored in the database.

[0736] Step 3:

[0737] The server sends the generated event proposals to the home autonomous device. The home autonomous device presents the received information to the user via voice or display. This step involves formatting the information for delivery through visual or auditory means.

[0738] Step 4:

[0739] The user receives suggestions from the in-home autonomous device and selects the desired event. The user's selection is sent back to the server as input data. The selection data is collected on the server and used as the basis for scheduling.

[0740] Step 5:

[0741] The server collects user selection data and participant schedule information to determine the optimal date and time. This server process uses an algorithm that aggregates schedule data from each participant and calculates the most available date and time.

[0742] Step 6:

[0743] The finalized schedule is transmitted from the server to the home autonomous devices and communication devices. The home autonomous devices notify the user of the schedule via voice and display, and the communication devices use the LINE API to send electronic notifications to all participants. This notification is delivered in message format, including schedule information.

[0744] 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.

[0745] This invention is a system that recognizes user emotions and dynamically adjusts the event management process based on them. The system is provided by combining an emotion engine with a series of functions, from receiving information from the user, generating event proposals, scheduling, aggregating opinions, and final notification.

[0746] The user activates the AI ​​agent via the LINE application using their device. The user's message is sent from the device to the server, and during this process, the emotion engine analyzes the user's message content and typing speed to evaluate their emotional state.

[0747] The server analyzes received event information, integrates the user's past history, preferences, and seasonal and regional event information from external sources, and generates suggestions. It can also fine-tune the suggestions using the user's emotional state evaluation output by the emotion engine. For example, if a user is feeling stressed, suggestions will prioritize less burdensome events.

[0748] Furthermore, when other participants respond within the LINE group, the sentiment engine analyzes those messages as well and takes them into consideration when consolidating opinions. If multiple users express dissatisfaction, the server can initiate a re-suggestion process to review the options.

[0749] Once the final schedule is determined, the server notifies all participants of the result, and the content of the notification message is adjusted based on the instructions of the emotion engine. For example, if positive emotions are detected, energetic expressions can be added to the notification.

[0750] In this way, this system goes beyond mere automated event management, aiming to provide a more personalized experience that takes user emotions into account and improve user satisfaction.

[0751] The following describes the processing flow.

[0752] Step 1:

[0753] Users use the LINE application on their device to summon an AI agent within a group chat, enter an outline of the event they want to plan as a message, and send it.

[0754] Step 2:

[0755] The device sends this user's message to the server via the LINE API. This message contains the entered text.

[0756] Step 3:

[0757] The server analyzes the received message using natural language processing techniques to extract the event type, purpose, and required conditions.

[0758] Step 4:

[0759] The emotion engine within the server identifies the emotional state of a user from their messages. This is done by analyzing the message content, delivery speed, and past interactions.

[0760] Step 5:

[0761] The event suggestion generation unit creates suggestions based on analysis results and the evaluation of the emotion engine, taking into account the user's past history and preferences, the current season, and regional information. If the emotion indicates signs of stress, it prioritizes suggesting events that promote relaxation.

[0762] Step 6:

[0763] The proposal is sent from the server to the terminal and displayed as a notification on the user's terminal. The user can review the proposal and further adjust their options.

[0764] Step 7:

[0765] A message based on a prepared proposal is sent to prospective participants via LINE to schedule an event, and the process of gathering their opinions on available dates begins.

[0766] Step 8:

[0767] The server receives each message returned by the participants and uses the emotion engine to evaluate their emotional state. If there are many negative emotions, the server may also make a revised suggestion.

[0768] Step 9:

[0769] Once opinions are gathered, the server calculates the optimal schedule and finalizes it.

[0770] Step 10:

[0771] The confirmed schedule is sent from the server to the terminal as a notification. Based on the analysis results of the emotion engine, the wording of this notification is adjusted to suit the user's preferences. Positive expressions may be used more frequently.

[0772] Following this sequence, the system manages events while taking user emotions into consideration, thereby achieving a highly satisfying service.

[0773] (Example 2)

[0774] 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".

[0775] Few event management systems take user emotions into account, making it difficult to increase participant satisfaction with existing systems. In particular, there is a lack of means to dynamically adjust suggestions to match the individual needs of a large number of users with diverse emotional states. Therefore, there is a need for a system that includes a function to analyze user emotions and provide personalized suggestions based on that analysis.

[0776] 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.

[0777] In this invention, the server includes means for receiving information-related data, means for analyzing the data and generating information suggestions, and means for evaluating the user's emotional state using an emotion analysis device and adjusting the content of the suggestions. This makes it possible to generate suggestions that take into account the individual emotional state of the user.

[0778] A "communication device" is a technical device used to receive and transmit data from a user.

[0779] "Information management" is the process of organizing and processing data, with the aim of providing useful information to users.

[0780] "Data analysis" is a technical process that processes received information and derives meaningful results.

[0781] "Proposal generation" refers to the act of constructing useful options and solutions for users based on analysis results.

[0782] "Adjustment" is the process of optimizing a state based on different information and circumstances.

[0783] An "emotion analysis device" is a technological element that identifies emotions from a user's messages and actions and evaluates their state.

[0784] "Opinion aggregation" is the process of gathering opinions from multiple users to arrive at a common conclusion or set of options.

[0785] The "optimal outcome" is the conclusion that best suits the user's needs and circumstances and maximizes their satisfaction.

[0786] "Notification" is the act of explicitly communicating confirmed information to all relevant parties.

[0787] This invention relates to a system that recognizes user emotions and adjusts the event management process accordingly. Specifically, a user accesses an AI agent using a communication device and transmits information about an event. In this process, the terminal sends data to a server via the LINE application. Upon receiving the message, the server evaluates the user's emotional state using an emotion analysis device.

[0788] Based on the evaluated emotional state, the server generates appropriate event suggestions based on the user's past history data and preferences. In generating these suggestions, data processing libraries such as "Pandas" and "NumPy" are utilized during the data analysis process. Furthermore, the server uses "NLTK" and "TextBlob" as emotion engines to analyze message content and evaluate the user's emotional state in detail.

[0789] The generated event proposals are refined in conjunction with aggregated opinions from other participants. This process also involves analyzing and aggregating the messages of other participants. Once the server confirms the optimal proposal, it uses the Twilio API to notify the final result. This notification includes an encouraging message tailored to the user's emotions, derived from sentiment analysis.

[0790] As a concrete example, consider a case where a user wants a relaxing event for the weekend. If the user sends a message saying, "Please suggest some relaxing events for this weekend," the server can take into account the user's stress level and suggest low-stress activities such as watching a movie or visiting a nature park.

[0791] Examples of prompts for a generative AI model are shown below:

[0792] "Please suggest relaxing weekend events that take into account the users' feelings. Users generally enjoy enjoying nature."

[0793] In this way, the present invention aims to realize personalized suggestions that take user emotions into consideration and to improve overall system satisfaction.

[0794] The flow of the specific processing in Example 2 will be explained using Figure 13.

[0795] Step 1:

[0796] The user accesses the AI ​​agent via a communication service using their device and enters a message containing specific event requests or questions. The input is the user's event request message. The output is this message sent to the server via the LINE application.

[0797] Step 2:

[0798] The server retrieves user messages received from the LINE application. It then analyzes the message content using an emotion analyzer and evaluates the user's emotional state. Specifically, it uses natural language processing libraries (such as "NLTK" or "TextBlob") to determine whether the emotion is positive or negative and extracts the stress level. Based on the input, it classifies the emotion and obtains the evaluated emotional state as output.

[0799] Step 3:

[0800] The server retrieves user history and preference information from the database based on the sentiment evaluation results to generate event suggestions. It then processes the data using libraries such as "Pandas" and "NumPy" to generate candidate events suitable for the user. Sentiment state and user history data are used as input, and a list of candidate events is generated as output.

[0801] Step 4:

[0802] The server adjusts the generated event list based on the user's emotional state. If the user is assessed as being highly stressed, it prioritizes events that promote relaxation. Specifically, it filters the event list and selects the events most suitable for the user. This data processing results in optimized event suggestions that are tailored to the user's emotional state.

[0803] Step 5:

[0804] When other participants submit feedback within the LINE group, the server analyzes it again using a sentiment analyzer. It determines whether the feedback is positive or negative and uses this data to determine the most satisfactory proposal. Based on this input, revisions or adjustments may be made. The output consists of information about revisions and finalized events.

[0805] Step 6:

[0806] The server notifies all participants of the finalized event proposal. The result notification includes encouraging and energetic expressions to reflect the user's emotional state. The data used is the determined event information, and the message corresponding to the emotion is output. The notification is sent to the user's device via the "Twilio" API.

[0807] (Application Example 2)

[0808] 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".

[0809] Traditional event management systems have the problem of failing to adequately enhance user satisfaction because they provide uniform schedules and notifications without considering the emotional state of the users. Furthermore, they lack flexibility in proposals and notifications, making it difficult to provide personalized support that meets the needs and circumstances of each participant.

[0810] 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.

[0811] In this invention, the server includes means for analyzing the user's emotional state and adjusting event suggestions based on that analysis, means for adjusting notification content based on the emotional analysis, and means for receiving event-related information from the user via a communication medium for event management. This enables personalized event suggestions and notifications that take emotions into consideration.

[0812] A "communication medium" is a means of exchanging data and information, and includes electronic messaging applications and the internet.

[0813] "Event management" refers to the entire process that includes planning, coordinating, and notifying users of their schedules and activities.

[0814] "Emotional state" refers to the state of the user's psychological condition and emotions, and is inferred from text analysis and typing speed.

[0815] "Sentiment analysis" is the process of analyzing information from users and evaluating their emotions and moods.

[0816] "Event suggestions" refer to possible activities and schedules presented based on the user's preferences and circumstances.

[0817] "Notification content" refers to messages used to communicate confirmed information or schedules to users.

[0818] Personalization means providing suggestions and notifications that are tailored and optimized according to the individual user's characteristics and preferences.

[0819] The specific system for implementing this invention mainly consists of a server and a user terminal. Users manage events through a messaging application, which is a communication medium, using an information terminal such as a smartphone or tablet.

[0820] The server receives messages from users and analyzes them using an emotion analysis engine. Emotion analysis utilizes software incorporating natural language processing techniques and machine learning algorithms, such as open-source natural language processing libraries or custom-developed AI models. The server determines the user's emotional state based on the message content, relevant day-night cycles, typing speed, and other factors. Based on this emotional state assessment, it then generates personalized event suggestions for each individual user.

[0821] Information obtained from sentiment analysis is used to adjust the proposed content to reflect the user's expectations and desires for the event, and is also taken into consideration when aggregating opinions from all participants. The proposed event is optimized based on the user's past history, current situation, and seasonal and regional information obtained from external sources.

[0822] The final adjusted notification content is tailored to the user's emotional state. For example, if the user is stressed, the message will be phrased in a relaxing manner, and if positive emotions are detected, it will include encouraging comments. To achieve this, the server uses a flexible notification message generation algorithm.

[0823] For example, if a user wants to adjust their holiday plans, the server uses sentiment analysis to detect that the user is seeking relaxation and suggests activities such as a picnic in a quiet park. If the event involves multiple family members or friends, the server adjusts the schedule while considering the feelings of each participant. An example of a prompt used in this process might be, "Please think of relaxation methods to suggest when the user is feeling stressed."

[0824] The goal is to create a system where servers and terminals work together to ensure that the information and experiences provided to users go beyond mere automation and incorporate deep consideration tailored to each individual's emotional state.

[0825] The flow of a specific process in Application Example 2 will be explained using Figure 14.

[0826] Step 1:

[0827] The terminal receives event management requests from users via a messaging application. These requests include details such as the desired event content and date. The terminal sends this information to the server in real time.

[0828] Input: User event management request

[0829] Output: Request data sent to the server

[0830] Step 2:

[0831] The server analyzes the user's request data. This analysis extracts necessary event information from the message content and evaluates the user's emotional state using natural language processing techniques. A generative AI model is used to identify the emotional attributes of the message.

[0832] Input: Request data

[0833] Output: Event information and sentiment data

[0834] Step 3:

[0835] The server generates event suggestions based on the user's emotional state. Here, it creates the optimal plan by considering the user's past history and preferences, as well as external seasonal and regional information. Based on evaluations from the emotion engine, data processing is performed to select events that reduce stress and evoke positive emotions.

[0836] Input: Sentiment data and user history

[0837] Output: Tailor-made event proposals

[0838] Step 4:

[0839] The server adjusts the schedule based on the proposed event and sends the proposal to the relevant participants. The server then gathers participant feedback and uses that feedback to determine the optimal date. This process includes sentiment analysis to evaluate opinions.

[0840] Input: Event proposals and participant responses

[0841] Output: Finalized schedule

[0842] Step 5:

[0843] After the final schedule is determined, the server generates a notification message and adjusts its content using sentiment analysis results. Positive expressions and words of encouragement are added before the notification is sent to the device. This makes the information received feel more personal to the user.

[0844] Input: Confirmed schedule and sentiment data

[0845] Output: Adjusted notification message

[0846] Through these steps, the servers and terminals provide users with a personalized, emotionally resonant event management experience.

[0847] 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.

[0848] 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.

[0849] 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.

[0850] 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.

[0851] 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.

[0852] 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.

[0853] 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.

[0854] 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.

[0855] 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."

[0856] 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.

[0857] 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.

[0858] 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.

[0859] 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.

[0860] 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.

[0861] 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.

[0862] 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.

[0863] 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.

[0864] 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.

[0865] 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.

[0866] 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.

[0867] 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.

[0868] The following is further disclosed regarding the embodiments described above.

[0869] (Claim 1)

[0870] For event management via communication media from users,

[0871] A means of receiving information about the event,

[0872] A means for analyzing the aforementioned information and generating event proposals,

[0873] A means of scheduling based on the proposed event,

[0874] A means of gathering participants' opinions and determining the optimal schedule,

[0875] A means of notifying the finalized schedule,

[0876] A system that includes this.

[0877] (Claim 2)

[0878] The system according to claim 1, which optimizes event suggestions based on the user's past history and preferences.

[0879] (Claim 3)

[0880] The system according to claim 1, which takes into account seasonal and local event information in conjunction with external information sources.

[0881] "Example 1"

[0882] (Claim 1)

[0883] For plan management via user information terminals,

[0884] Means for receiving data related to the plan,

[0885] A means for analyzing the aforementioned data and generating plan proposals using a generation AI,

[0886] A means of scheduling based on the proposed plan,

[0887] A means of gathering participants' opinions, determining the optimal schedule, and collecting member opinions through prompt messages,

[0888] A means to notify you of the finalized schedule and to automatically manage reservations and reminders,

[0889] A system that includes this.

[0890] (Claim 2)

[0891] The system according to claim 1, which optimizes plan suggestions based on the user's past records and preferences.

[0892] (Claim 3)

[0893] The system according to claim 1, which collaborates with external sources and takes into account seasonal and local planning information.

[0894] "Application Example 1"

[0895] (Claim 1)

[0896] For event management via communication devices from users,

[0897] A means of receiving information about the event,

[0898] A means for analyzing the aforementioned information and generating event proposals,

[0899] A means of scheduling based on the proposed event,

[0900] A means of gathering participants' opinions and determining the optimal schedule,

[0901] A means of providing and notifying event information based on voice commands in conjunction with autonomous devices in the home,

[0902] A means of notifying the finalized schedule,

[0903] A system that includes this.

[0904] (Claim 2)

[0905] The system according to claim 1, which optimizes event suggestions based on the user's past history and preferences.

[0906] (Claim 3)

[0907] The system according to claim 1, which takes into account seasonal and local event information in conjunction with external information sources.

[0908] "Example 2 of combining an emotion engine"

[0909] (Claim 1)

[0910] For managing information received from users via communication devices,

[0911] Means for receiving data related to information,

[0912] A means for analyzing the aforementioned data and generating information suggestions,

[0913] A means of making adjustments based on the analyzed data,

[0914] A means of gathering user feedback and determining the optimal result,

[0915] A means of notifying the final decision,

[0916] A means of evaluating the user's emotional state using an emotion analysis device and adjusting the suggested content,

[0917] A system that includes this.

[0918] (Claim 2)

[0919] The system according to claim 1, which optimizes information suggestions based on the user's past history and preferences.

[0920] (Claim 3)

[0921] The system according to claim 1, which takes into account time and location information in conjunction with external information sources.

[0922] "Application example 2 when combining with an emotional engine"

[0923] (Claim 1)

[0924] For event management via communication media from users,

[0925] A means of receiving information about the event,

[0926] A means for analyzing the aforementioned information and generating event proposals,

[0927] A means of scheduling based on the proposed event,

[0928] A means of gathering participants' opinions and determining the optimal schedule,

[0929] A means of analyzing the user's emotional state and adjusting the event suggestions based on that analysis,

[0930] A means of adjusting notification content based on sentiment analysis,

[0931] A system that includes this.

[0932] (Claim 2)

[0933] The system according to claim 1, which optimizes event suggestions based on the user's past history and preferences.

[0934] (Claim 3)

[0935] The system according to claim 1, which takes into account seasonal and local event information in conjunction with external information sources. [Explanation of symbols]

[0936] 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. For event management via communication media from users, A means of receiving information about the event, A means for analyzing the aforementioned information and generating event proposals, A means of scheduling based on the proposed event, A means of gathering participants' opinions and determining the optimal schedule, A means of notifying the finalized schedule, A system that includes this.

2. The system according to claim 1, which optimizes event suggestions based on the user's past history and preferences.

3. The system according to claim 1, which takes into account seasonal and local event information in conjunction with external information sources.

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