system

Abstract

The system according to this embodiment aims to comprehensively support and efficiently manage fans' activities related to their favorite idols. [Solution] The system according to the embodiment comprises an information gathering unit, a schedule management unit, a merchandise purchase support unit, a fan community unit, and a dialogue unit. The information gathering unit collects information about the fan's favorite idol. The schedule management unit manages the schedule based on the information collected by the information gathering unit. The merchandise purchase support unit supports the purchase of merchandise based on the schedule managed by the schedule management unit. The fan community unit forms a fan community based on the purchase information supported by the merchandise purchase support unit. The dialogue unit conducts a dialogue between the user and their favorite idol based on the community information formed by the fan community unit.

Description

Technical Field

[0004] ,

[0006] , , , , ,

[0005] , , , , ,

[0001] The technology of this 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] In the prior art, there is no system that comprehensively supports the fan's promotion activities, and there is a problem that it is difficult to efficiently manage various activities.

[0005] The system according to the embodiment aims to comprehensively support the fan's promotion activities and manage them efficiently.

Means for Solving the Problems

[0006] The system according to this embodiment comprises an information gathering unit, a schedule management unit, a merchandise purchase support unit, a fan community unit, and a dialogue unit. The information gathering unit collects information about the fan's favorite idol. The schedule management unit manages the schedule based on the information collected by the information gathering unit. The merchandise purchase support unit assists in purchasing merchandise based on the schedule managed by the schedule management unit. The fan community unit forms a fan community based on the purchase information supported by the merchandise purchase support unit. The dialogue unit conducts a dialogue between the user and their favorite idol based on the community information formed by the fan community unit. [Effects of the Invention]

[0007] The system according to this embodiment can comprehensively support and efficiently manage fans' activities related to their favorite idols. [Brief explanation of the drawing]

[0008] [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. [Modes for carrying out the invention]

[0009] Hereinafter, an example of an embodiment of the system relating to the technology of this disclosure will be described with reference to the attached drawings.

[0010] First, let's explain the terminology used in the following explanation.

[0011] In the following embodiments, the signed processor (hereinafter simply referred to as "processor") may be a single arithmetic unit or a combination of multiple arithmetic units. Furthermore, the processor may be a single type of arithmetic unit or a combination of multiple types of arithmetic units. Examples of arithmetic units include CPU (Central Processing Unit), GPU (Graphics Processing Unit), GPGPU (General-Purpose computing on Graphics Processing Units), APU (Accelerated Processing Unit), or TPU (Tensor Processing Unit).

[0012] In the following embodiments, signed RAM (Random Access Memory) is a memory that temporarily stores information and is used as work memory by the processor.

[0013] In the following embodiments, the signed storage is one or more non-volatile storage devices that store various programs and various parameters. Examples of non-volatile storage devices include flash memory (SSD (Solid State Drive)), magnetic disks (e.g., hard disks), or magnetic tapes.

[0014] In the following embodiments, the labeled communication I / F (Interface) is an interface including a communication processor, an antenna, etc. The communication I / F manages communication between multiple computers. Examples of communication standards applied to the communication I / F include wireless communication standards such as 5G (5th Generation Mobile Communication System), Wi-Fi (registered trademark), or Bluetooth (registered trademark).

[0015] 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 only A, only B, or a combination of A and B. Also, in this specification, when expressing three or more matters connected by "and / or", the same concept as "A and / or B" is applied.

[0016] [First Embodiment] FIG. 1 shows an example of the configuration of a data processing system 10 according to the first embodiment.

[0017] As shown in FIG. 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.

[0018] The data processing device 12 includes a computer 22, a database 24, and a communication I / F 26. The computer 22 includes a processor 28, a RAM 30, and a storage 32. The processor 28, the RAM 30, and the storage 32 are connected to a bus 34. Also, the database 24 and the communication I / F 26 are connected to the bus 34. The communication I / F 26 is connected to a network 54. Examples of the network 54 include a WAN (Wide Area Network) and / or a LAN (Local Area Network).

[0019] 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.

[0020] The reception device 38 is equipped with a touch panel 38A and a microphone 38B, and accepts user input. The touch panel 38A accepts user input via touch by detecting contact with an object (e.g., a pen or finger). The microphone 38B accepts user input via voice 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 unit 12. In the data processing unit 12, the specific processing unit 290 (see Figure 2) acquires the data indicating the user input.

[0021] The output device 40 includes a display 40A and a speaker 40B, and presents data to the user by outputting the data in a form perceptible to the user (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.

[0022] 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.

[0023] Figure 2 shows an example of the main functions of the data processing device 12 and the smart device 14.

[0024] 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.

[0025] 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. The identification processing unit 290 can estimate the user's emotions using the emotion identification model 59 and perform identification processing using the user's emotions. The emotion estimation function (emotion identification function) using the emotion identification model 59 performs various estimations and predictions regarding the user's emotions, including but not limited to these examples. Furthermore, emotion estimation and prediction also include, for example, emotion analysis.

[0026] In the smart device 14, specific processing is performed by the processor 46. The storage 50 stores a specific processing program 60. The specific processing program 60 is used in conjunction with the specific processing program 56 by the data processing system 10. The processor 46 reads the specific processing program 60 from the storage 50 and executes the read specific processing program 60 on the RAM 48. The specific processing is realized by the processor 46 operating as a control unit 46A according to the specific processing program 60 executed on the RAM 48. The smart device 14 also has a data generation model 58 and an emotion identification model 59, similar to the data generation model and emotion identification model 59, and can perform processing similar to that of the specific processing unit 290 using these models.

[0027] Furthermore, other devices besides the data processing device 12 may also have the data generation model 58. For example, a server device (e.g., a generation server) may have the data generation model 58. In this case, the data processing device 12 obtains processing results (such as prediction results) using the data generation model 58 by communicating with the server device having the data generation model 58. The data processing device 12 may also be a server device or a terminal device owned by a user (e.g., a mobile phone, robot, home appliance, etc.). Next, an example of processing by the data processing system 10 according to the first embodiment will be described.

[0028] (Example of form 1) The personalized communication and management tool according to an embodiment of the present invention is a system that utilizes AI to support fans' activities related to their favorite idols. This system integrates information gathering, schedule management, merchandise purchase support, and fan community functions to cover all aspects of idol activities. Furthermore, users can enjoy personalized conversations with their favorite idols. First, an AI agent automatically collects information about the fan's favorite idol. For example, it collects the latest activity information, schedules, and related news of the idol. Next, based on the collected information, it provides personalized notifications to the user. For example, it notifies the user of new event information or merchandise release information of the idol. In addition, the AI ​​agent assists the user in managing their schedule. For example, it automatically creates a schedule for attending events of the idol and sets reminders. Also, when a user purchases merchandise of their favorite idol, the AI ​​agent suggests the best purchase method. For example, it checks the availability of merchandise, compares prices, and suggests the best place to buy. The AI ​​agent also provides fan community functions. For example, users can interact with other fans in a virtual space. Furthermore, the AI ​​agent enables personalized conversations between the user and their favorite idol. For example, an AI chatbot that has learned the personality and characteristics of the idol engages in natural conversations with the user. In this way, AI agents comprehensively support fans' activities related to their favorite idols, enriching the fan experience. Examples include streamlining information gathering and schedule management, assisting with merchandise purchases, fostering fan communities, and providing personalized conversations. This allows fans to deepen their bond with their idols and enjoy a more fulfilling fan experience. Thus, personalized communication and management tools can comprehensively support fans' activities related to their favorite idols, enriching the fan experience.

[0029] The personalized communication and management tool according to this embodiment comprises an information gathering unit, a schedule management unit, a merchandise purchase support unit, a fan community unit, and a dialogue unit. The information gathering unit collects information about the fan's favorite idol. For example, the information gathering unit collects the latest activity information, schedules, and related news of the idol. For example, the information gathering unit can collect information from the idol's official website and social media accounts. The information gathering unit can also collect information from news sites and fan communities. The information gathering unit can use AI to automate and efficiently collect information. The schedule management unit manages the schedule based on the information collected by the information gathering unit. For example, the schedule management unit can automatically create an event schedule for the idol and set reminders. The schedule management unit can link with the user's calendar and add the idol's event schedule to the user's calendar. The schedule management unit can also suggest the best way to participate in events based on the user's schedule. The merchandise purchase support unit assists in purchasing merchandise based on the schedule managed by the schedule management unit. The Merchandise Purchase Support Department, for example, checks the stock status and compares prices of merchandise to suggest the best place to buy it. The Merchandise Purchase Support Department can acquire inventory information from online shops and physical stores in real time and notify users. It can also analyze users' purchase history and suggest related new products. The Fan Community Department forms fan communities based on the purchase information supported by the Merchandise Purchase Support Department. The Fan Community Department provides features for interacting with other fans in a virtual space, for example. The Fan Community Department includes chat and video call functions to promote interaction among fans. It can also collect event information within the community and notify users. The Dialogue Department facilitates conversations between users and their favorite idols based on the community information formed by the Fan Community Department. The Dialogue Department uses, for example, an AI chatbot that has learned the personality and characteristics of the idols to engage in natural conversations with users. The Dialogue Department can analyze users' past conversation history and suggest the most appropriate conversation content.Furthermore, the dialogue section can update the dialogue content based on the latest activity information of the fan's favorite idol. This allows the personalized communication and management tool according to the embodiment to comprehensively support fans' activities and enrich the fan experience.

[0030] The Information Gathering Department collects information about fans' favorite idols. For example, it collects the latest activity information, schedules, and related news about their favorite idols. Specifically, it can collect information from the idol's official website and social media accounts. The official website provides the latest release information, event information, and media appearance information, and by regularly checking this information, fans can obtain the latest information. Social media accounts feature real-time posts, stories, and live streams from the idol, and by collecting this information, fans can keep up with the idol's latest activities. The Information Gathering Department can also collect information from news sites and fan communities. News sites publish articles, interviews, and reviews about the idol, and by collecting this information, fans can obtain detailed information about the idol's activities. Fan communities contain information, opinions, and impressions shared by other fans, and by collecting this information, fans can promote interaction and information sharing among fans. The Information Gathering Department can automate and efficiently collect information using AI. The AI ​​uses web scraping technology to periodically collect information from specified websites and social media accounts and store it in a database. Furthermore, natural language processing technology can be used to analyze the collected information and extract important details. This allows the information gathering unit to efficiently collect necessary information from a vast amount of data and provide it to fans.

[0031] The Schedule Management Department manages schedules based on information collected by the Information Gathering Department. For example, the Schedule Management Department can automatically create event schedules for a user's favorite idol and set reminders. Specifically, it analyzes the collected event information and registers the date, time, location, and content of the event in the calendar. Furthermore, it can set reminders the day before the event and notify the user to prevent them from missing the event. The Schedule Management Department can also link with the user's calendar and add the idol's event schedule to the user's calendar. For example, it can link with a calendar app and automatically synchronize the idol's event information. This allows the user to centrally manage their own schedule and the idol's event schedule in one calendar. In addition, the Schedule Management Department can also suggest the best way to participate in events based on the user's schedule. For example, it can suggest the best route to participate in events and accommodations, taking into account the user's free time and means of transportation. This allows the user to participate in events efficiently and make their idol-related activities more fulfilling.

[0032] The Merchandise Purchase Support Department assists with merchandise purchases based on schedules managed by the Schedule Management Department. For example, the Merchandise Purchase Support Department compares merchandise availability and prices to suggest the best place to buy. Specifically, it can acquire real-time inventory information from online shops and physical stores and notify users. Online shops sell official merchandise and limited-edition items, and by comparing their availability and prices, the department can suggest the best place to buy to users. Physical stores sometimes sell merchandise in conjunction with specific events and campaigns, and by collecting and notifying users of this information, the department can help users purchase merchandise efficiently. Furthermore, the Merchandise Purchase Support Department can analyze users' purchase history and suggest related new products. For example, based on the types and brands of merchandise previously purchased, it can suggest new products that match the user's preferences. This allows users to always stay up-to-date on the latest merchandise information and enjoy their fan activities even more. In addition, the Merchandise Purchase Support Department can also support the purchase process. For example, it can simplify the online shop purchase process and provide a one-click purchase function. For purchases at physical stores, it can provide a function that allows for smooth payment using 2D codes (e.g., QR codes®). This allows users to purchase merchandise without stress, making their fan activities more fulfilling.

[0033] The Fan Community Department forms fan communities based on purchase information supported by the Merchandise Purchase Support Department. The Fan Community Department provides features for interacting with other fans in a virtual space, such as chat and video call functions to facilitate interaction among fans. The chat function allows for the sending of text messages, stamps, images, and videos, promoting active communication among fans. The video call function allows for real-time face-to-face conversations, enabling more intimate interactions. The Fan Community Department can also collect event information within the community and notify users. For example, by collecting and notifying users of events such as fan meetings, live streams, and offline gatherings, it can promote interaction among fans. Furthermore, the Fan Community Department can suggest relevant communities based on users' interests. For example, by suggesting communities related to specific idols or themes, users can find communities that suit them. In this way, the Fan Community Department can promote interaction among fans and enrich the fan experience.

[0034] The Dialogue Department facilitates conversations between users and their favorite idols based on community information created by the Fan Community Department. For example, an AI chatbot that has learned the idol's personality and characteristics engages in natural conversations with the user. Specifically, the AI ​​chatbot learns the idol's past statements, actions, hobbies, and preferences, and can reproduce the idol's tone and speaking style. This allows users to enjoy an experience as if they were directly conversing with their idol. The Dialogue Department analyzes the user's past conversation history and suggests optimal conversation content. For example, it can suggest relevant conversation topics based on topics and questions the user has shown interest in in the past. Furthermore, the Dialogue Department can update conversation content based on the idol's latest activity information. For example, it can provide relevant topics based on the idol's latest release information or event information. This ensures users always enjoy conversations based on the latest information. In addition, the Dialogue Department collects user feedback and continuously improves the accuracy and naturalness of the conversation content. For example, users evaluate the conversation content, and the AI ​​chatbot learns from this evaluation, enabling it to provide more natural and engaging conversations. This allows the dialogue section to enrich the user's interaction experience with their favorite character and improve the fan experience.

[0035] The information gathering department can collect the latest activity information, schedules, and related news about the idol. For example, the information gathering department can collect information from the idol's official website and social media accounts. The information gathering department can also collect information from news sites and fan communities. The information gathering department can automate and efficiently collect information using AI. This allows it to provide users with the latest information by collecting the latest information about the idol. Some or all of the above processing in the information gathering department may be performed using AI, for example, or without AI. For example, the information gathering department can have a generating AI perform the collection of information from the idol's official website and social media accounts.

[0036] The schedule management unit can automatically create schedules and set reminders for attending events featuring one's favorite idol. For example, the schedule management unit can automatically create event schedules and set reminders. The schedule management unit can also link with the user's calendar and add the event schedules to the user's calendar. Furthermore, the schedule management unit can suggest the optimal way to attend events based on the user's schedule. This streamlines the scheduling process for attending events featuring one's favorite idol. Some or all of the above processes in the schedule management unit may be performed using AI, for example, or without AI. For example, the schedule management unit can have a generation AI create the event schedules for one's favorite idol.

[0037] The merchandise purchase support department can check the inventory status and compare prices of merchandise and suggest the best place to buy it. For example, the merchandise purchase support department can check the inventory status and compare prices of merchandise and suggest the best place to buy it. The merchandise purchase support department can acquire inventory information from online shops and physical stores in real time and notify users. Furthermore, the merchandise purchase support department can analyze users' purchase history and suggest related new products. This streamlines the merchandise purchase process and allows for the suggestion of the best place to buy. Some or all of the above processes in the merchandise purchase support department may be performed using AI, or not. For example, the merchandise purchase support department can have a generating AI perform the analysis of inventory status and price comparisons.

[0038] The fan community section can provide functions for interacting with other fans in a virtual space. For example, the fan community section can provide functions for interacting with other fans in a virtual space. The fan community section can have chat functions and video call functions to promote interaction among fans. The fan community section can also collect event information within the community and notify users. This promotes interaction among fans and forms a community. Some or all of the above processing in the fan community section may be performed using AI, for example, or not using AI. For example, the fan community section can have a generating AI perform the provision of interaction functions in the virtual space.

[0039] The dialogue unit allows an AI chatbot, which has learned the personality and characteristics of the user's favorite idol, to engage in natural conversations with the user. For example, the dialogue unit can analyze the user's past conversation history and suggest the most appropriate conversation content. The dialogue unit can also update the conversation content based on the idol's latest activity information. This enables personalized conversations between the user and their favorite idol. Some or all of the above-described processes in the dialogue unit may be performed using AI, for example, or without AI. For example, the dialogue unit can have a generative AI perform the learning of the idol's personality and characteristics.

[0040] The information gathering unit can collect information about the favorite idol's activities in real time and immediately notify the user. For example, the information gathering unit can collect posts from the idol's social media accounts in real time and notify the user. The information gathering unit can also collect the latest information from the idol's official website and fan club site in real time and notify the user. In addition, the information gathering unit can collect information about live streams and events in which the idol will appear in real time and notify the user. In this way, by collecting information about the idol's activities in real time and notifying the user immediately, the information gathering unit can provide the user with the latest information. Some or all of the above processing in the information gathering unit may be performed using AI, for example, or without AI. For example, the information gathering unit can have a generating AI perform the task of collecting posts from the idol's social media accounts.

[0041] The information gathering unit can analyze the past activity history of a favorite idol and gather information by predicting future activities. For example, the information gathering unit can analyze the idol's past event schedule and gather information by predicting when the next event will be held. The information gathering unit can analyze the idol's past release patterns and gather information by predicting when the next new song will be released. Furthermore, the information gathering unit can analyze the idol's past media appearance history and gather information by predicting upcoming appearances. This allows the information gathering unit to proactively provide users with information by predicting the idol's future activities and gathering information accordingly. Some or all of the above processing in the information gathering unit may be performed using AI, for example, or without AI. For example, the information gathering unit can have a generating AI perform the analysis of the idol's past activity history.

[0042] The information gathering unit can collect not only news related to the user's favorite idol, but also related trend information. For example, the information gathering unit can collect industry news related to the idol's activities and provide it to the user. The information gathering unit can collect trend information that is being discussed within the idol's fan community and provide it to the user. In addition, the information gathering unit can collect social trend information that may influence the idol's activities and provide it to the user. In this way, by collecting not only news related to the idol, but also related trend information, a wide range of information can be provided to the user. Some or all of the above processing in the information gathering unit may be performed using AI, for example, or not using AI. For example, the information gathering unit can have a generative AI perform the collection of related news and trend information.

[0043] The information gathering unit can prioritize collecting highly relevant information by considering the user's geographical location when gathering activity information about their favorite idol. For example, the information gathering unit can prioritize collecting information about events held near the user's current location. The information gathering unit can also prioritize collecting news about their favorite idol that is relevant to the user's residential area. Furthermore, based on the user's geographical location, the information gathering unit can also prioritize collecting activity information from nearby fan communities. This allows for the provision of more appropriate information by prioritizing the collection of highly relevant information while considering the user's geographical location. Some or all of the above processing in the information gathering unit may be performed using AI, for example, or without AI. For example, the information gathering unit can input the user's geographical location information into a generating AI and have the generating AI collect highly relevant information.

[0044] The schedule management unit can automatically adjust the user's other appointments based on the event schedule of their favorite idol. For example, the schedule management unit can refer to the user's calendar information and adjust the schedule to avoid conflicts with the idol's event. The schedule management unit can also suggest the optimal timing for attending the idol's event, taking into account the user's work or school schedule. Furthermore, the schedule management unit can also suggest the optimal timing for attending the idol's event, taking into account the user's plans with family and friends. This streamlines schedule management by automatically adjusting the user's other appointments based on the idol's event schedule. Some or all of the above processes in the schedule management unit may be performed using AI, for example, or not. For example, the schedule management unit can input the user's calendar information into a generating AI and have the generating AI perform the schedule adjustments.

[0045] The schedule management unit can analyze the event schedule of your favorite idol and suggest the best way to participate. For example, the schedule management unit can analyze the location and time of your favorite idol's event and suggest the best mode of transportation. The schedule management unit can analyze how to purchase tickets for your favorite idol's event and suggest the best timing for purchase. Furthermore, the schedule management unit can analyze the participation requirements for your favorite idol's event and suggest the best preparation methods. In this way, by analyzing your favorite idol's event schedule and suggesting the best way to participate, the user's event participation becomes more efficient. Some or all of the above processes in the schedule management unit may be performed using AI, for example, or not. For example, the schedule management unit can have a generating AI perform the analysis of the event schedule.

[0046] The schedule management unit can manage not only the event schedule of the favorite idol, but also the schedules of related fan events. For example, the schedule management unit can manage not only the official event schedule of the favorite idol, but also the schedules of events organized by fans. The schedule management unit can also manage the event schedules of related groups and units of the favorite idol. Furthermore, the schedule management unit can also manage the schedules of media appearances and live streams in which the favorite idol appears. This provides users with a wide range of schedule management capabilities by managing not only the event schedule of the favorite idol, but also the schedules of related fan events. Some or all of the above processing in the schedule management unit may be performed using AI, for example, or not. For example, the schedule management unit can have a generating AI perform the schedule management of related fan events.

[0047] The schedule management unit can propose the optimal way for users to participate in events, taking into account their geographical location. For example, the schedule management unit can propose the best mode of transportation from the user's current location to the event venue. The schedule management unit can also prioritize suggesting event venues close to the user's residential area. Furthermore, based on the user's geographical location, the schedule management unit can also suggest ways for users to participate in events together with nearby fans. This makes event participation more efficient for users by suggesting the optimal way to participate in events, taking into account their geographical location. Some or all of the above processing in the schedule management unit may be performed using AI, for example, or not. For example, the schedule management unit can input the user's geographical location into a generating AI and have the generating AI propose the optimal way to participate in events.

[0048] The merchandise purchase support unit can monitor the inventory status of merchandise in real time and notify users immediately. For example, the merchandise purchase support unit can monitor the inventory status of a user's favorite merchandise in real time and notify the user when the stock is running low. The merchandise purchase support unit can also immediately notify the user when the favorite merchandise is restocked. Furthermore, the merchandise purchase support unit can suggest alternative products if the favorite merchandise is out of stock. In this way, by monitoring the inventory status of merchandise in real time and providing immediate notifications, the unit can provide users with the latest inventory information. Some or all of the above processes in the merchandise purchase support unit may be performed using AI, for example, or not using AI. For example, the merchandise purchase support unit can have a generating AI perform the inventory status monitoring.

[0049] The merchandise purchase support department can analyze price fluctuations of merchandise and suggest the optimal purchase timing. For example, the merchandise purchase support department can suggest the optimal purchase timing when the price of a favorite character's merchandise drops. It can also suggest the optimal purchase timing before the price of a favorite character's merchandise rises. Furthermore, the merchandise purchase support department can analyze price fluctuations of a favorite character's merchandise and suggest the most advantageous purchase timing. In this way, by analyzing price fluctuations of merchandise and suggesting the optimal purchase timing, it can provide users with the most advantageous purchase timing. Some or all of the above processes in the merchandise purchase support department may be performed using AI, for example, or not using AI. For example, the merchandise purchase support department can have a generative AI perform the price fluctuation analysis.

[0050] The merchandise purchase support department can analyze the purchase history of merchandise and suggest related new products. For example, the merchandise purchase support department can suggest new products related to merchandise that the user has purchased in the past. The merchandise purchase support department can also suggest new products based on the brands and series of merchandise that the user has purchased in the past. Furthermore, the merchandise purchase support department can analyze the user's purchase history and suggest new products that match the user's preferences. In this way, by analyzing the purchase history of merchandise and suggesting related new products, it is possible to provide new products that are of interest to the user. Some or all of the above processes in the merchandise purchase support department may be performed using AI, for example, or not using AI. For example, the merchandise purchase support department can have a generative AI perform the analysis of purchase history.

[0051] The merchandise purchase support unit can suggest the optimal place to buy by taking into account the user's geographical location. For example, the merchandise purchase support unit can suggest a store near the user's current location. The merchandise purchase support unit can also suggest an online shop that can deliver to the user's area of ​​residence. Furthermore, the merchandise purchase support unit can suggest the optimal place to buy based on the user's geographical location. In this way, by suggesting the optimal place to buy by taking into account the user's geographical location, the unit can provide the user with a convenient place to buy. Some or all of the above processing in the merchandise purchase support unit may be performed using AI, for example, or not using AI. For example, the merchandise purchase support unit can input the user's geographical location information into a generating AI and have the generating AI suggest the optimal place to buy.

[0052] The Fan Community Department can analyze a user's activity history within the community and suggest the most suitable interaction partners. For example, the Fan Community Department can suggest the most suitable interaction partners based on shared interests with people the user has interacted with in the past. The Fan Community Department can analyze a user's activity history and suggest users who have participated in the same events. Furthermore, the Fan Community Department can analyze a user's posts and suggest users with common topics. In this way, by analyzing a user's activity history within the community and suggesting the most suitable interaction partners, the Fan Community Department can provide users with beneficial interactions. Some or all of the above processes in the Fan Community Department may be performed using AI, for example, or not. For example, the Fan Community Department can have a generative AI perform the analysis of activity history.

[0053] The Fan Community Department can analyze the popularity of topics within the community and suggest topics relevant to the user. For example, the Fan Community Department can suggest topics that many users in the community are interested in. The Fan Community Department can also analyze the user's past posts and suggest related topics. Furthermore, the Fan Community Department can analyze the popularity of topics within the community in real time and suggest the latest topics. This allows the Fan Community Department to provide users with interesting information by analyzing the popularity of topics within the community and suggesting topics relevant to them. Some or all of the above processes in the Fan Community Department may be performed using AI, for example, or not. For example, the Fan Community Department can have a generative AI perform the analysis of topic popularity.

[0054] The Fan Community Department can collect event information within the community and notify users. For example, the Fan Community Department can collect information on online events held within the community and notify users. The Fan Community Department can also collect information on offline events within the community and notify users. Furthermore, the Fan Community Department can collect information on fan meetings and social gatherings within the community and notify users. In this way, by collecting event information within the community and notifying users, useful information can be provided to users. Some or all of the above processing in the Fan Community Department may be performed using AI, for example, or not using AI. For example, the Fan Community Department can have a generating AI perform the collection of event information.

[0055] The fan community section can promote interaction with nearby fans by taking into account the user's geographical location. For example, the fan community section can provide functions to promote interaction with fans close to the user's current location. The fan community section can also provide event information related to the user's area of ​​residence to promote interaction with nearby fans. Furthermore, the fan community section can suggest nearby fan communities based on the user's geographical location. In this way, by promoting interaction with nearby fans while taking into account the user's geographical location, it can provide users with beneficial interactions. Some or all of the above processing in the fan community section may be performed using AI, for example, or without AI. For example, the fan community section can input the user's geographical location information into a generating AI and have the generating AI perform the task of promoting interaction with nearby fans.

[0056] The dialogue unit can learn the personality and characteristics of the user's favorite idol, enabling more natural conversations. For example, the dialogue unit can learn the idol's way of speaking and catchphrases to conduct natural conversations. The dialogue unit can learn the idol's favorite topics and hobbies to conduct relevant conversations. Furthermore, the dialogue unit can learn the idol's past statements and actions to conduct consistent conversations. In this way, by learning the personality and characteristics of the idol and achieving more natural conversations, it can provide users with more engaging conversations. Some or all of the above processing in the dialogue unit may be performed using AI, for example, or without AI. For example, the dialogue unit can have a generative AI perform the learning of the idol's personality and characteristics.

[0057] The dialogue unit can analyze the user's past dialogue history and suggest the most appropriate dialogue content. For example, the dialogue unit can suggest relevant dialogue content based on what the user has said in the past. The dialogue unit can analyze the user's past dialogue history and suggest topics that might interest them. Furthermore, the dialogue unit can provide the latest information on the user's favorite things based on their past dialogue history. In this way, by analyzing the user's past dialogue history and suggesting the most appropriate dialogue content, it can provide the user with an interesting dialogue experience. Some or all of the above processing in the dialogue unit may be performed using AI, for example, or not. For example, the dialogue unit can have a generative AI perform the analysis of past dialogue history.

[0058] The dialogue unit can update the dialogue content based on the latest activity information of the favorite idol. For example, the dialogue unit can update the dialogue content based on the latest SNS posts of the favorite idol. The dialogue unit can update the dialogue content based on the latest event information of the favorite idol. Furthermore, the dialogue unit can update the dialogue content based on the latest media appearance information of the favorite idol. In this way, by updating the dialogue content based on the latest activity information of the favorite idol, the system can provide users with the most up-to-date information. Some or all of the above processing in the dialogue unit may be performed using AI, for example, or not using AI. For example, the dialogue unit can have a generating AI perform the collection of the latest activity information and the updating of the dialogue content.

[0059] The dialogue unit can provide relevant dialogue content while taking the user's geographical location information into consideration. For example, the dialogue unit can provide information about the user's favorite activities related to the user's current location. The dialogue unit can also provide news about the user's favorite activities related to the area where the user lives. Furthermore, the dialogue unit can provide information about nearby fan communities based on the user's geographical location information. In this way, by providing relevant dialogue content while taking the user's geographical location information into consideration, the dialogue unit can provide information that is useful to the user. Some or all of the above processing in the dialogue unit may be performed using AI, for example, or without AI. For example, the dialogue unit can input the user's geographical location information into a generating AI and have the generating AI perform the task of providing relevant dialogue content.

[0060] The system according to the embodiment is not limited to the example described above, and various modifications are possible, for example, as follows.

[0061] The information gathering department can collect real-time information on the activities of your favorite idol and immediately notify users. For example, it can collect posts from your favorite idol's social media accounts in real time and notify users. It can also collect the latest information from your favorite idol's official website and fan club site in real time and notify users. Furthermore, it can collect information on live streams and events in which your favorite idol will appear in real time and notify users. In this way, by collecting real-time information on your favorite idol's activities and notifying users immediately, the department can provide users with the latest information.

[0062] The schedule management system can automatically adjust the user's other appointments based on their favorite idol's event schedule. For example, it can refer to the user's calendar information and adjust appointments to avoid conflicts with their favorite idol's events. It can also suggest the optimal timing for attending their favorite idol's events, taking into account the user's work or school schedule. Furthermore, it can suggest the optimal timing for attending their favorite idol's events, taking into account the user's plans with family and friends. This streamlines schedule management by automatically adjusting the user's other appointments based on their favorite idol's event schedule.

[0063] The merchandise purchase support department can monitor merchandise inventory in real time and notify users immediately. For example, it can monitor the inventory status of a user's favorite merchandise in real time and notify them when the stock is running low. It can also immediately notify users when their favorite merchandise is restocked. Furthermore, if a user's favorite merchandise is out of stock, it can suggest alternative products. In this way, by monitoring merchandise inventory in real time and providing immediate notifications, the department can provide users with the latest inventory information.

[0064] The Fan Community Department can analyze users' activity history within the community and suggest the most suitable partners for interaction. For example, it can suggest partners based on shared interests with people the user has interacted with in the past. It can also analyze a user's activity history and suggest users who have participated in the same events. Furthermore, it can analyze a user's posts and suggest users with common topics. In this way, by analyzing a user's activity history within the community and suggesting the most suitable partners, it can provide users with beneficial interactions.

[0065] The dialogue section can update the dialogue content based on the latest activity information of the user's favorite idol. For example, it can update the dialogue content based on the idol's latest social media posts. It can also update the dialogue content based on the idol's latest event information. Furthermore, it can update the dialogue content based on the idol's latest media appearances. In this way, by updating the dialogue content based on the idol's latest activity information, the system can provide users with the most up-to-date information.

[0066] The following briefly describes the processing flow for example form 1.

[0067] Step 1: The Information Gathering Department collects information about fans' favorite idols. For example, it gathers the latest activity information, schedules, and related news about the idols. The Information Gathering Department can collect information from the idols' official websites, social media accounts, news sites, and fan communities. Furthermore, it uses AI to automate and efficiently collect information. Step 2: The Schedule Management Unit manages the schedule based on the information collected by the Information Gathering Unit. For example, it can automatically create event schedules for the user's favorite idols and set reminders. The Schedule Management Unit can also link with the user's calendar and add the favorite idol's event schedules to the user's calendar. It can also suggest the best way for the user to participate in events based on their schedule. Step 3: The merchandise purchase support department assists with merchandise purchases based on schedules managed by the schedule management department. For example, it checks the availability of merchandise, compares prices, and suggests the best place to buy. The merchandise purchase support department can obtain real-time inventory information from online shops and physical stores and notify users. It can also analyze users' purchase history and suggest related new products. Step 4: The Fan Community Department forms fan communities based on purchase information supported by the Merchandise Purchase Support Department. For example, it provides features for fans to interact with each other in a virtual space. The Fan Community Department includes chat and video call functions to promote interaction among fans. It can also collect event information within the community and notify users. Step 5: The dialogue unit conducts conversations between the user and their favorite idol based on community information created by the fan community unit. For example, an AI chatbot that has learned the idol's personality and characteristics will engage in natural conversations with the user. The dialogue unit can analyze the user's past conversation history and suggest the most appropriate conversation content. It can also update the conversation content based on the idol's latest activity information.

[0068] (Example of form 2) The personalized communication and management tool according to an embodiment of the present invention is a system that utilizes AI to support fans' activities related to their favorite idols. This system integrates information gathering, schedule management, merchandise purchase support, and fan community functions to cover all aspects of idol activities. Furthermore, users can enjoy personalized conversations with their favorite idols. First, an AI agent automatically collects information about the fan's favorite idol. For example, it collects the latest activity information, schedules, and related news of the idol. Next, based on the collected information, it provides personalized notifications to the user. For example, it notifies the user of new event information or merchandise release information of the idol. In addition, the AI ​​agent assists the user in managing their schedule. For example, it automatically creates a schedule for attending events of the idol and sets reminders. Also, when a user purchases merchandise of their favorite idol, the AI ​​agent suggests the best purchase method. For example, it checks the availability of merchandise, compares prices, and suggests the best place to buy. The AI ​​agent also provides fan community functions. For example, users can interact with other fans in a virtual space. Furthermore, the AI ​​agent enables personalized conversations between the user and their favorite idol. For example, an AI chatbot that has learned the personality and characteristics of the idol engages in natural conversations with the user. In this way, AI agents comprehensively support fans' activities related to their favorite idols, enriching the fan experience. Examples include streamlining information gathering and schedule management, assisting with merchandise purchases, fostering fan communities, and providing personalized conversations. This allows fans to deepen their bond with their idols and enjoy a more fulfilling fan experience. Thus, personalized communication and management tools can comprehensively support fans' activities related to their favorite idols, enriching the fan experience.

[0069] The personalized communication and management tool according to this embodiment comprises an information gathering unit, a schedule management unit, a merchandise purchase support unit, a fan community unit, and a dialogue unit. The information gathering unit collects information about the fan's favorite idol. For example, the information gathering unit collects the latest activity information, schedules, and related news of the idol. For example, the information gathering unit can collect information from the idol's official website and social media accounts. The information gathering unit can also collect information from news sites and fan communities. The information gathering unit can use AI to automate and efficiently collect information. The schedule management unit manages the schedule based on the information collected by the information gathering unit. For example, the schedule management unit can automatically create an event schedule for the idol and set reminders. The schedule management unit can link with the user's calendar and add the idol's event schedule to the user's calendar. The schedule management unit can also suggest the best way to participate in events based on the user's schedule. The merchandise purchase support unit assists in purchasing merchandise based on the schedule managed by the schedule management unit. The Merchandise Purchase Support Department, for example, checks the stock status and compares prices of merchandise to suggest the best place to buy it. The Merchandise Purchase Support Department can acquire inventory information from online shops and physical stores in real time and notify users. It can also analyze users' purchase history and suggest related new products. The Fan Community Department forms fan communities based on the purchase information supported by the Merchandise Purchase Support Department. The Fan Community Department provides features for interacting with other fans in a virtual space, for example. The Fan Community Department includes chat and video call functions to promote interaction among fans. It can also collect event information within the community and notify users. The Dialogue Department facilitates conversations between users and their favorite idols based on the community information formed by the Fan Community Department. The Dialogue Department uses, for example, an AI chatbot that has learned the personality and characteristics of the idols to engage in natural conversations with users. The Dialogue Department can analyze users' past conversation history and suggest the most appropriate conversation content.Furthermore, the dialogue section can update the dialogue content based on the latest activity information of the fan's favorite idol. This allows the personalized communication and management tool according to the embodiment to comprehensively support fans' activities and enrich the fan experience.

[0070] The Information Gathering Department collects information about fans' favorite idols. For example, it collects the latest activity information, schedules, and related news about their favorite idols. Specifically, it can collect information from the idol's official website and social media accounts. The official website provides the latest release information, event information, and media appearance information, and by regularly checking this information, fans can obtain the latest information. Social media accounts feature real-time posts, stories, and live streams from the idol, and by collecting this information, fans can keep up with the idol's latest activities. The Information Gathering Department can also collect information from news sites and fan communities. News sites publish articles, interviews, and reviews about the idol, and by collecting this information, fans can obtain detailed information about the idol's activities. Fan communities contain information, opinions, and impressions shared by other fans, and by collecting this information, fans can promote interaction and information sharing among fans. The Information Gathering Department can automate and efficiently collect information using AI. The AI ​​uses web scraping technology to periodically collect information from specified websites and social media accounts and store it in a database. Furthermore, natural language processing technology can be used to analyze the collected information and extract important details. This allows the information gathering unit to efficiently collect necessary information from a vast amount of data and provide it to fans.

[0071] The Schedule Management Department manages schedules based on information collected by the Information Gathering Department. For example, the Schedule Management Department can automatically create event schedules for a user's favorite idol and set reminders. Specifically, it analyzes the collected event information and registers the date, time, location, and content of the event in the calendar. Furthermore, it can set reminders the day before the event and notify the user to prevent them from missing the event. The Schedule Management Department can also link with the user's calendar and add the idol's event schedule to the user's calendar. For example, it can link with a calendar app and automatically synchronize the idol's event information. This allows the user to centrally manage their own schedule and the idol's event schedule in one calendar. In addition, the Schedule Management Department can also suggest the best way to participate in events based on the user's schedule. For example, it can suggest the best route to participate in events and accommodations, taking into account the user's free time and means of transportation. This allows the user to participate in events efficiently and make their idol-related activities more fulfilling.

[0072] The Merchandise Purchase Support Department assists with merchandise purchases based on schedules managed by the Schedule Management Department. For example, the Merchandise Purchase Support Department compares merchandise availability and prices to suggest the best place to buy. Specifically, it can acquire real-time inventory information from online shops and physical stores and notify users. Online shops sell official merchandise and limited-edition items, and by comparing their availability and prices, the department can suggest the best place to buy. Physical stores sometimes sell merchandise in conjunction with specific events and campaigns, and by collecting and notifying users of this information, the department can help users purchase merchandise efficiently. Furthermore, the Merchandise Purchase Support Department can analyze users' purchase history and suggest related new products. For example, based on the types and brands of merchandise previously purchased, it can suggest new products that match the user's preferences. This allows users to always stay up-to-date on the latest merchandise information and enjoy their fan activities even more. In addition, the Merchandise Purchase Support Department can also support the purchase process. For example, it can simplify the online shop purchase process and provide a one-click purchase function. For purchases at physical stores, it can provide a function that allows for smooth payment using 2D codes (e.g., QR codes). This allows users to purchase merchandise without stress, making their fan activities more fulfilling.

[0073] The Fan Community Department forms fan communities based on purchase information supported by the Merchandise Purchase Support Department. The Fan Community Department provides features for interacting with other fans in a virtual space, such as chat and video call functions to facilitate interaction among fans. The chat function allows for the sending of text messages, stamps, images, and videos, promoting active communication among fans. The video call function allows for real-time face-to-face conversations, enabling more intimate interactions. The Fan Community Department can also collect event information within the community and notify users. For example, by collecting and notifying users of events such as fan meetings, live streams, and offline gatherings, it can promote interaction among fans. Furthermore, the Fan Community Department can suggest relevant communities based on users' interests. For example, by suggesting communities related to specific idols or themes, users can find communities that suit them. In this way, the Fan Community Department can promote interaction among fans and enrich the fan experience.

[0074] The Dialogue Department facilitates conversations between users and their favorite idols based on community information created by the Fan Community Department. For example, an AI chatbot that has learned the idol's personality and characteristics engages in natural conversations with the user. Specifically, the AI ​​chatbot learns the idol's past statements, actions, hobbies, and preferences, and can reproduce the idol's tone and speaking style. This allows users to enjoy an experience as if they were directly conversing with their idol. The Dialogue Department analyzes the user's past conversation history and suggests optimal conversation content. For example, it can suggest relevant conversation topics based on topics and questions the user has shown interest in in the past. Furthermore, the Dialogue Department can update conversation content based on the idol's latest activity information. For example, it can provide relevant topics based on the idol's latest release information or event information. This ensures users always enjoy conversations based on the latest information. In addition, the Dialogue Department collects user feedback and continuously improves the accuracy and naturalness of the conversation content. For example, users evaluate the conversation content, and the AI ​​chatbot learns from this evaluation, enabling it to provide more natural and engaging conversations. This allows the dialogue section to enrich the user's interaction experience with their favorite character and improve the fan experience.

[0075] The information gathering department can collect the latest activity information, schedules, and related news about the idol. For example, the information gathering department can collect information from the idol's official website and social media accounts. The information gathering department can also collect information from news sites and fan communities. The information gathering department can automate and efficiently collect information using AI. This allows it to provide users with the latest information by collecting the latest information about the idol. Some or all of the above processing in the information gathering department may be performed using AI, for example, or without AI. For example, the information gathering department can have a generating AI perform the collection of information from the idol's official website and social media accounts.

[0076] The schedule management unit can automatically create schedules and set reminders for attending events featuring one's favorite idol. For example, the schedule management unit can automatically create event schedules and set reminders. The schedule management unit can also link with the user's calendar and add the event schedules to the user's calendar. Furthermore, the schedule management unit can suggest the optimal way to attend events based on the user's schedule. This streamlines the scheduling process for attending events featuring one's favorite idol. Some or all of the above processes in the schedule management unit may be performed using AI, for example, or without AI. For example, the schedule management unit can have a generation AI create the event schedules for one's favorite idol.

[0077] The merchandise purchase support department can check the inventory status and compare prices of merchandise and suggest the best place to buy it. For example, the merchandise purchase support department can check the inventory status and compare prices of merchandise and suggest the best place to buy it. The merchandise purchase support department can acquire inventory information from online shops and physical stores in real time and notify users. Furthermore, the merchandise purchase support department can analyze users' purchase history and suggest related new products. This streamlines the merchandise purchase process and allows for the suggestion of the best place to buy. Some or all of the above processes in the merchandise purchase support department may be performed using AI, or not. For example, the merchandise purchase support department can have a generating AI perform the analysis of inventory status and price comparisons.

[0078] The fan community section can provide functions for interacting with other fans in a virtual space. For example, the fan community section can provide functions for interacting with other fans in a virtual space. The fan community section can have chat functions and video call functions to promote interaction among fans. The fan community section can also collect event information within the community and notify users. This promotes interaction among fans and forms a community. Some or all of the above processing in the fan community section may be performed using AI, for example, or not using AI. For example, the fan community section can have a generating AI perform the provision of interaction functions in the virtual space.

[0079] The dialogue unit allows an AI chatbot, which has learned the personality and characteristics of the user's favorite idol, to engage in natural conversations with the user. For example, the dialogue unit can analyze the user's past conversation history and suggest the most appropriate conversation content. The dialogue unit can also update the conversation content based on the idol's latest activity information. This enables personalized conversations between the user and their favorite idol. Some or all of the above-described processes in the dialogue unit may be performed using AI, for example, or without AI. For example, the dialogue unit can have a generative AI perform the learning of the idol's personality and characteristics.

[0080] The information gathering unit can estimate the user's emotions and determine the priority of information to collect based on the estimated emotions. For example, if the user is excited, the information gathering unit can prioritize collecting the latest activity information of their favorite idol and notify them immediately. If the user is depressed, the information gathering unit can prioritize collecting encouraging messages and positive news from their favorite idol. Also, if the user is relaxed, the information gathering unit can prioritize collecting past interviews and episodes of their favorite idol. In this way, by prioritizing information according to the user's emotions, more appropriate information can be provided. Emotion estimation is achieved using an emotion estimation function, for example, using an emotion engine or generative AI. Generative AI is, but is not limited to, text generation AI (e.g., LLM) or multimodal generation AI. Some or all of the above processing in the information gathering unit may be performed using AI, for example, or not using AI. For example, the information gathering unit can input the user's emotion data into a generative AI and have the generative AI determine the priority of information to collect.

[0081] The information gathering unit can collect information about the favorite idol's activities in real time and immediately notify the user. For example, the information gathering unit can collect posts from the idol's social media accounts in real time and notify the user. The information gathering unit can also collect the latest information from the idol's official website and fan club site in real time and notify the user. In addition, the information gathering unit can collect information about live streams and events in which the idol will appear in real time and notify the user. In this way, by collecting information about the idol's activities in real time and notifying the user immediately, the information gathering unit can provide the user with the latest information. Some or all of the above processing in the information gathering unit may be performed using AI, for example, or without AI. For example, the information gathering unit can have a generating AI perform the task of collecting posts from the idol's social media accounts.

[0082] The information gathering unit can analyze the past activity history of a favorite idol and gather information by predicting future activities. For example, the information gathering unit can analyze the idol's past event schedule and gather information by predicting when the next event will be held. The information gathering unit can analyze the idol's past release patterns and gather information by predicting when the next new song will be released. Furthermore, the information gathering unit can analyze the idol's past media appearance history and gather information by predicting upcoming appearances. This allows the information gathering unit to proactively provide users with information by predicting the idol's future activities and gathering information accordingly. Some or all of the above processing in the information gathering unit may be performed using AI, for example, or without AI. For example, the information gathering unit can have a generating AI perform the analysis of the idol's past activity history.

[0083] The information gathering unit can estimate the user's emotions and adjust the way information is displayed based on the estimated emotions. For example, if the user is excited, the information gathering unit can provide a visually stimulating display method. If the user is calm, the information gathering unit can provide a simple and easy-to-read display method. Furthermore, if the user is tired, the information gathering unit can summarize and display the information concisely. This allows for more appropriate information to be provided by adjusting the way information is displayed according to the user's emotions. Emotion estimation is achieved using an emotion estimation function, for example, using an emotion engine or a generative AI. The generative AI is, but is not limited to, a text generation AI (e.g., LLM) or a multimodal generation AI. Some or all of the above processing in the information gathering unit may be performed using AI, or not using AI. For example, the information gathering unit can input user emotion data into the generative AI and have the generative AI adjust the way information is displayed.

[0084] The information gathering unit can collect not only news related to the user's favorite idol, but also related trend information. For example, the information gathering unit can collect industry news related to the idol's activities and provide it to the user. The information gathering unit can collect trend information that is being discussed within the idol's fan community and provide it to the user. In addition, the information gathering unit can collect social trend information that may influence the idol's activities and provide it to the user. In this way, by collecting not only news related to the idol, but also related trend information, a wide range of information can be provided to the user. Some or all of the above processing in the information gathering unit may be performed using AI, for example, or not using AI. For example, the information gathering unit can have a generative AI perform the collection of related news and trend information.

[0085] The information gathering unit can prioritize collecting highly relevant information by considering the user's geographical location when gathering activity information about their favorite idol. For example, the information gathering unit can prioritize collecting information about events held near the user's current location. The information gathering unit can also prioritize collecting news about their favorite idol that is relevant to the user's residential area. Furthermore, based on the user's geographical location, the information gathering unit can also prioritize collecting activity information from nearby fan communities. This allows for the provision of more appropriate information by prioritizing the collection of highly relevant information while considering the user's geographical location. Some or all of the above processing in the information gathering unit may be performed using AI, for example, or without AI. For example, the information gathering unit can input the user's geographical location information into a generating AI and have the generating AI collect highly relevant information.

[0086] The schedule management unit can estimate the user's emotions and adjust the timing of schedule notifications based on the estimated emotions. For example, if the user is relaxed, the schedule management unit can send an immediate notification. If the user is busy, the schedule management unit can postpone the notification and send it at an appropriate time. The schedule management unit can also send frequent notifications to provide updates if the user is excited. By adjusting the timing of schedule notifications according to the user's emotions, notifications can be sent at a more appropriate time. Emotion estimation is achieved using an emotion estimation function, for example, using an emotion engine or generative AI. Generative AI is, but is not limited to, text generation AI (e.g., LLM) or multimodal generation AI. Some or all of the above processing in the schedule management unit may be performed using AI, or not using AI. For example, the schedule management unit can input user emotion data into a generative AI and have the generative AI adjust the notification timing.

[0087] The schedule management unit can automatically adjust the user's other appointments based on the event schedule of their favorite idol. For example, the schedule management unit can refer to the user's calendar information and adjust the schedule to avoid conflicts with the idol's event. The schedule management unit can also suggest the optimal timing for attending the idol's event, taking into account the user's work or school schedule. Furthermore, the schedule management unit can also suggest the optimal timing for attending the idol's event, taking into account the user's plans with family and friends. This streamlines schedule management by automatically adjusting the user's other appointments based on the idol's event schedule. Some or all of the above processes in the schedule management unit may be performed using AI, for example, or not. For example, the schedule management unit can input the user's calendar information into a generating AI and have the generating AI perform the schedule adjustments.

[0088] The schedule management unit can analyze the event schedule of your favorite idol and suggest the best way to participate. For example, the schedule management unit can analyze the location and time of your favorite idol's event and suggest the best mode of transportation. The schedule management unit can analyze how to purchase tickets for your favorite idol's event and suggest the best timing for purchase. Furthermore, the schedule management unit can analyze the participation requirements for your favorite idol's event and suggest the best preparation methods. In this way, by analyzing your favorite idol's event schedule and suggesting the best way to participate, the user's event participation becomes more efficient. Some or all of the above processes in the schedule management unit may be performed using AI, for example, or not. For example, the schedule management unit can have a generating AI perform the analysis of the event schedule.

[0089] The schedule management unit can estimate the user's emotions and adjust the schedule display method based on the estimated emotions. For example, if the user is relaxed, the schedule management unit can display a detailed schedule. If the user is busy, the schedule management unit can display a concise schedule that gets straight to the point. Furthermore, if the user is excited, the schedule management unit can display a visually stimulating schedule. This allows for more appropriate schedule management by adjusting the schedule display method according to the user's emotions. Emotion estimation is achieved using an emotion estimation function, for example, using an emotion engine or generative AI. Generative AI is, but is not limited to, text generation AI (e.g., LLM) or multimodal generation AI. Some or all of the above processing in the schedule management unit may be performed using AI, or not using AI. For example, the schedule management unit can input user emotion data into a generative AI and have the generative AI adjust the schedule display method.

[0090] The schedule management unit can manage not only the event schedule of the favorite idol, but also the schedules of related fan events. For example, the schedule management unit can manage not only the official event schedule of the favorite idol, but also the schedules of events organized by fans. The schedule management unit can also manage the event schedules of related groups and units of the favorite idol. Furthermore, the schedule management unit can also manage the schedules of media appearances and live streams in which the favorite idol appears. This provides users with a wide range of schedule management capabilities by managing not only the event schedule of the favorite idol, but also the schedules of related fan events. Some or all of the above processing in the schedule management unit may be performed using AI, for example, or not. For example, the schedule management unit can have a generating AI perform the schedule management of related fan events.

[0091] The schedule management unit can propose the optimal way for users to participate in events, taking into account their geographical location. For example, the schedule management unit can propose the best mode of transportation from the user's current location to the event venue. The schedule management unit can also prioritize suggesting event venues close to the user's residential area. Furthermore, based on the user's geographical location, the schedule management unit can also suggest ways for users to participate in events together with nearby fans. This makes event participation more efficient for users by suggesting the optimal way to participate in events, taking into account their geographical location. Some or all of the above processing in the schedule management unit may be performed using AI, for example, or not. For example, the schedule management unit can input the user's geographical location into a generating AI and have the generating AI propose the optimal way to participate in events.

[0092] The merchandise purchase support unit can estimate the user's emotions and adjust the timing of purchase suggestions based on those emotions. For example, if the user is excited, the merchandise purchase support unit can immediately make a purchase suggestion. If the user is relaxed, the merchandise purchase support unit can make a purchase suggestion at an appropriate time. Furthermore, if the user is busy, the merchandise purchase support unit can postpone the suggestion and make it at an appropriate time. In this way, by adjusting the timing of purchase suggestions according to the user's emotions, purchase suggestions can be made at a more appropriate time. Emotion estimation is achieved using an emotion estimation function, for example, using an emotion engine or generative AI. Generative AI is, but is not limited to, text generation AI (e.g., LLM) or multimodal generation AI. Some or all of the above processing in the merchandise purchase support unit may be performed using AI, for example, or not using AI. For example, the merchandise purchase support unit can input user emotion data into a generative AI and have the generative AI adjust the timing of purchase suggestions.

[0093] The merchandise purchase support unit can monitor the inventory status of merchandise in real time and notify users immediately. For example, the merchandise purchase support unit can monitor the inventory status of a user's favorite merchandise in real time and notify the user when the stock is running low. The merchandise purchase support unit can also immediately notify the user when the favorite merchandise is restocked. Furthermore, the merchandise purchase support unit can suggest alternative products if the favorite merchandise is out of stock. In this way, by monitoring the inventory status of merchandise in real time and providing immediate notifications, the unit can provide users with the latest inventory information. Some or all of the above processes in the merchandise purchase support unit may be performed using AI, for example, or not using AI. For example, the merchandise purchase support unit can have a generating AI perform the inventory status monitoring.

[0094] The merchandise purchase support department can analyze price fluctuations of merchandise and suggest the optimal purchase timing. For example, the merchandise purchase support department can suggest the optimal purchase timing when the price of a favorite character's merchandise drops. It can also suggest the optimal purchase timing before the price of a favorite character's merchandise rises. Furthermore, the merchandise purchase support department can analyze price fluctuations of a favorite character's merchandise and suggest the most advantageous purchase timing. In this way, by analyzing price fluctuations of merchandise and suggesting the optimal purchase timing, it can provide users with the most advantageous purchase timing. Some or all of the above processes in the merchandise purchase support department may be performed using AI, for example, or not using AI. For example, the merchandise purchase support department can have a generative AI perform the price fluctuation analysis.

[0095] The merchandise purchase support unit can estimate the user's emotions and adjust the display method of purchase suggestions based on the estimated emotions. For example, if the user is excited, the merchandise purchase support unit can provide a visually stimulating display method. If the user is calm, the merchandise purchase support unit can provide a simple and highly visible display method. Furthermore, if the user is tired, the merchandise purchase support unit can summarize and display information concisely. In this way, by adjusting the display method of purchase suggestions according to the user's emotions, purchase suggestions can be presented in a more appropriate manner. Emotion estimation is achieved using an emotion estimation function, for example, using an emotion engine or generative AI. Generative AI is, but is not limited to, text generation AI (e.g., LLM) or multimodal generation AI. Some or all of the above processing in the merchandise purchase support unit may be performed using AI, for example, or without AI. For example, the merchandise purchase support unit can input user emotion data into a generative AI and have the generative AI adjust the display method of purchase suggestions.

[0096] The merchandise purchase support department can analyze the purchase history of merchandise and suggest related new products. For example, the merchandise purchase support department can suggest new products related to merchandise that the user has purchased in the past. The merchandise purchase support department can also suggest new products based on the brands and series of merchandise that the user has purchased in the past. Furthermore, the merchandise purchase support department can analyze the user's purchase history and suggest new products that match the user's preferences. In this way, by analyzing the purchase history of merchandise and suggesting related new products, it is possible to provide new products that are of interest to the user. Some or all of the above processes in the merchandise purchase support department may be performed using AI, for example, or not using AI. For example, the merchandise purchase support department can have a generative AI perform the analysis of purchase history.

[0097] The merchandise purchase support unit can suggest the optimal place to buy by taking into account the user's geographical location. For example, the merchandise purchase support unit can suggest a store near the user's current location. The merchandise purchase support unit can also suggest an online shop that can deliver to the user's area of ​​residence. Furthermore, the merchandise purchase support unit can suggest the optimal place to buy based on the user's geographical location. In this way, by suggesting the optimal place to buy by taking into account the user's geographical location, the unit can provide the user with a convenient place to buy. Some or all of the above processing in the merchandise purchase support unit may be performed using AI, for example, or not using AI. For example, the merchandise purchase support unit can input the user's geographical location information into a generating AI and have the generating AI suggest the optimal place to buy.

[0098] The fan community section can estimate a user's emotions and adjust the way they interact within the community based on those emotions. For example, if a user is excited, the fan community section can provide features to facilitate active interaction. If a user is calm, the fan community section can provide features to facilitate quiet interaction. Furthermore, if a user is tired, the fan community section can provide features that allow for easy interaction. This allows for more appropriate interaction methods by adjusting the way users interact within the community according to their emotions. Emotion estimation is achieved using an emotion estimation function, such as an emotion engine or generative AI. Generative AI may be, but is not limited to, text generation AI (e.g., LLM) or multimodal generation AI. Some or all of the above-described processes in the fan community section may be performed using AI, or not. For example, the fan community section can input user emotion data into a generative AI and have the generative AI adjust the interaction methods.

[0099] The Fan Community Department can analyze a user's activity history within the community and suggest the most suitable interaction partners. For example, the Fan Community Department can suggest the most suitable interaction partners based on shared interests with people the user has interacted with in the past. The Fan Community Department can analyze a user's activity history and suggest users who have participated in the same events. Furthermore, the Fan Community Department can analyze a user's posts and suggest users with common topics. In this way, by analyzing a user's activity history within the community and suggesting the most suitable interaction partners, the Fan Community Department can provide users with beneficial interactions. Some or all of the above processes in the Fan Community Department may be performed using AI, for example, or not. For example, the Fan Community Department can have a generative AI perform the analysis of activity history.

[0100] The Fan Community Department can analyze the popularity of topics within the community and suggest topics relevant to the user. For example, the Fan Community Department can suggest topics that many users in the community are interested in. The Fan Community Department can also analyze the user's past posts and suggest related topics. Furthermore, the Fan Community Department can analyze the popularity of topics within the community in real time and suggest the latest topics. This allows the Fan Community Department to provide users with interesting information by analyzing the popularity of topics within the community and suggesting topics relevant to them. Some or all of the above processes in the Fan Community Department may be performed using AI, for example, or not. For example, the Fan Community Department can have a generative AI perform the analysis of topic popularity.

[0101] The fan community unit can estimate a user's emotions and adjust the notification method within the community based on the estimated emotions. For example, if a user is excited, the fan community unit can send an immediate notification. If a user is calm, the fan community unit can send a notification at an appropriate time. Furthermore, if a user is tired, the fan community unit can reduce the frequency of notifications. This allows for more appropriate notification methods by adjusting the notification method within the community according to the user's emotions. Emotion estimation is achieved using an emotion estimation function, for example, using an emotion engine or generative AI. Generative AI is, but is not limited to, text generation AI (e.g., LLM) or multimodal generation AI. Some or all of the above processing in the fan community unit may be performed using AI, or not using AI. For example, the fan community unit can input user emotion data into a generative AI and have the generative AI adjust the notification method.

[0102] The Fan Community Department can collect event information within the community and notify users. For example, the Fan Community Department can collect information on online events held within the community and notify users. The Fan Community Department can also collect information on offline events within the community and notify users. Furthermore, the Fan Community Department can collect information on fan meetings and social gatherings within the community and notify users. In this way, by collecting event information within the community and notifying users, useful information can be provided to users. Some or all of the above processing in the Fan Community Department may be performed using AI, for example, or not using AI. For example, the Fan Community Department can have a generating AI perform the collection of event information.

[0103] The fan community section can promote interaction with nearby fans by taking into account the user's geographical location. For example, the fan community section can provide functions to promote interaction with fans close to the user's current location. The fan community section can also provide event information related to the user's area of ​​residence to promote interaction with nearby fans. Furthermore, the fan community section can suggest nearby fan communities based on the user's geographical location. In this way, by promoting interaction with nearby fans while taking into account the user's geographical location, it can provide users with beneficial interactions. Some or all of the above processing in the fan community section may be performed using AI, for example, or without AI. For example, the fan community section can input the user's geographical location information into a generating AI and have the generating AI perform the task of promoting interaction with nearby fans.

[0104] The dialogue unit can estimate the user's emotions and adjust the content of the dialogue based on the estimated emotions. For example, if the user is excited, the dialogue unit can focus the conversation on the latest activity information of their favorite idol. If the user is depressed, the dialogue unit can focus the conversation on encouraging messages from their favorite idol. If the user is relaxed, the dialogue unit can focus the conversation on past episodes or interviews of their favorite idol. In this way, by adjusting the content of the dialogue according to the user's emotions, a more appropriate dialogue can be provided. Emotion estimation is achieved using an emotion estimation function, for example, using an emotion engine or generative AI. Generative AI is a text generation AI (e.g., LLM) or a multimodal generation AI, but is not limited to such examples. Some or all of the above processing in the dialogue unit may be performed using AI, for example, or without AI. For example, the dialogue unit can input the user's emotion data into a generative AI and have the generative AI adjust the content of the dialogue.

[0105] The dialogue unit can learn the personality and characteristics of the user's favorite idol, enabling more natural conversations. For example, the dialogue unit can learn the idol's way of speaking and catchphrases to conduct natural conversations. The dialogue unit can learn the idol's favorite topics and hobbies to conduct relevant conversations. Furthermore, the dialogue unit can learn the idol's past statements and actions to conduct consistent conversations. In this way, by learning the personality and characteristics of the idol and achieving more natural conversations, it can provide users with more engaging conversations. Some or all of the above processing in the dialogue unit may be performed using AI, for example, or without AI. For example, the dialogue unit can have a generative AI perform the learning of the idol's personality and characteristics.

[0106] The dialogue unit can analyze the user's past dialogue history and suggest the most appropriate dialogue content. For example, the dialogue unit can suggest relevant dialogue content based on what the user has said in the past. The dialogue unit can analyze the user's past dialogue history and suggest topics that might interest them. Furthermore, the dialogue unit can provide the latest information on the user's favorite things based on their past dialogue history. In this way, by analyzing the user's past dialogue history and suggesting the most appropriate dialogue content, it can provide the user with an interesting dialogue experience. Some or all of the above processing in the dialogue unit may be performed using AI, for example, or not. For example, the dialogue unit can have a generative AI perform the analysis of past dialogue history.

[0107] The dialogue unit can estimate the user's emotions and adjust the timing of the dialogue based on the estimated emotions. For example, if the user is excited, the dialogue unit can start the dialogue immediately. If the user is calm, the dialogue unit can start the dialogue at an appropriate time. The dialogue unit can also keep the dialogue subdued if the user is tired. By adjusting the timing of the dialogue according to the user's emotions, it is possible to provide dialogue at a more appropriate time. Emotion estimation is achieved using an emotion estimation function, for example, using an emotion engine or generative AI. Generative AI is, but is not limited to, text generation AI (e.g., LLM) or multimodal generation AI. Some or all of the above processing in the dialogue unit may be performed using AI, for example, or not using AI. For example, the dialogue unit can input user emotion data into a generative AI and have the generative AI adjust the timing of the dialogue.

[0108] The dialogue unit can update the dialogue content based on the latest activity information of the favorite idol. For example, the dialogue unit can update the dialogue content based on the latest SNS posts of the favorite idol. The dialogue unit can update the dialogue content based on the latest event information of the favorite idol. Furthermore, the dialogue unit can update the dialogue content based on the latest media appearance information of the favorite idol. In this way, by updating the dialogue content based on the latest activity information of the favorite idol, the system can provide users with the most up-to-date information. Some or all of the above processing in the dialogue unit may be performed using AI, for example, or not using AI. For example, the dialogue unit can have a generating AI perform the collection of the latest activity information and the updating of the dialogue content.

[0109] The dialogue unit can provide relevant dialogue content while taking the user's geographical location information into consideration. For example, the dialogue unit can provide information about the user's favorite activities related to the user's current location. The dialogue unit can also provide news about the user's favorite activities related to the area where the user lives. Furthermore, the dialogue unit can provide information about nearby fan communities based on the user's geographical location information. In this way, by providing relevant dialogue content while taking the user's geographical location information into consideration, the dialogue unit can provide information that is useful to the user. Some or all of the above processing in the dialogue unit may be performed using AI, for example, or without AI. For example, the dialogue unit can input the user's geographical location information into a generating AI and have the generating AI perform the task of providing relevant dialogue content.

[0110] The system according to the embodiment is not limited to the example described above, and various modifications are possible, for example, as follows.

[0111] The information gathering unit can estimate the user's emotions and adjust the information gathering method based on those emotions. For example, if the user is excited, the information gathering unit can prioritize collecting the latest activity information of their favorite idol and notify them immediately. If the user is depressed, it can prioritize collecting encouraging messages and positive news from their idol. Furthermore, if the user is relaxed, it can prioritize collecting past interviews and episodes of their idol. In this way, by adjusting the information gathering method according to the user's emotions, more appropriate information can be provided.

[0112] The scheduling system can estimate the user's emotions and adjust the way schedule notifications are sent based on those estimates. For example, if the user is relaxed, notifications can be sent immediately. If the user is busy, notifications can be delayed and sent at an appropriate time. Furthermore, if the user is excited, notifications can be sent frequently to provide updates. By adjusting the schedule notification method according to the user's emotions, notifications can be sent at a more appropriate time.

[0113] The merchandise purchase support system can estimate the user's emotions and adjust the timing of purchase suggestions based on those estimates. For example, if the user is excited, it can immediately offer a purchase suggestion. If the user is relaxed, it can offer a purchase suggestion at an appropriate time. Furthermore, if the user is busy, it can postpone the suggestion and offer it at a more appropriate time. By adjusting the timing of purchase suggestions according to the user's emotions, it is possible to offer purchase suggestions at a more appropriate time.

[0114] The fan community section can estimate users' emotions and adjust how they interact within the community based on those estimates. For example, if a user is excited, it can provide features to encourage active interaction. If a user is calm, it can provide features to encourage quieter interaction. Furthermore, if a user is tired, it can provide features that allow for easy interaction. In this way, by adjusting how users interact within the community according to their emotions, it can provide more appropriate ways of interacting.

[0115] The dialogue unit can estimate the user's emotions and adjust the content of the conversation based on those emotions. For example, if the user is excited, the conversation can focus on the latest activity information of their favorite idol. If the user is depressed, the conversation can focus on encouraging messages from their favorite idol. Furthermore, if the user is relaxed, the conversation can focus on past episodes and interviews of their favorite idol. In this way, by adjusting the content of the conversation according to the user's emotions, a more appropriate conversation can be provided.

[0116] The information gathering department can collect real-time information on the activities of your favorite idol and immediately notify users. For example, it can collect posts from your favorite idol's social media accounts in real time and notify users. It can also collect the latest information from your favorite idol's official website and fan club site in real time and notify users. Furthermore, it can collect information on live streams and events in which your favorite idol will appear in real time and notify users. In this way, by collecting real-time information on your favorite idol's activities and notifying users immediately, the department can provide users with the latest information.

[0117] The schedule management system can automatically adjust the user's other appointments based on their favorite idol's event schedule. For example, it can refer to the user's calendar information and adjust appointments to avoid conflicts with their favorite idol's events. It can also suggest the optimal timing for attending their favorite idol's events, taking into account the user's work or school schedule. Furthermore, it can suggest the optimal timing for attending their favorite idol's events, taking into account the user's plans with family and friends. This streamlines schedule management by automatically adjusting the user's other appointments based on their favorite idol's event schedule.

[0118] The merchandise purchase support department can monitor merchandise inventory in real time and notify users immediately. For example, it can monitor the inventory status of a user's favorite merchandise in real time and notify them when the stock is running low. It can also immediately notify users when their favorite merchandise is restocked. Furthermore, if a user's favorite merchandise is out of stock, it can suggest alternative products. In this way, by monitoring merchandise inventory in real time and providing immediate notifications, the department can provide users with the latest inventory information.

[0119] The Fan Community Department can analyze users' activity history within the community and suggest the most suitable partners for interaction. For example, it can suggest partners based on shared interests with people the user has interacted with in the past. It can also analyze a user's activity history and suggest users who have participated in the same events. Furthermore, it can analyze a user's posts and suggest users with common topics. In this way, by analyzing a user's activity history within the community and suggesting the most suitable partners, it can provide users with beneficial interactions.

[0120] The dialogue section can update the dialogue content based on the latest activity information of the user's favorite idol. For example, it can update the dialogue content based on the idol's latest social media posts. It can also update the dialogue content based on the idol's latest event information. Furthermore, it can update the dialogue content based on the idol's latest media appearances. In this way, by updating the dialogue content based on the idol's latest activity information, the system can provide users with the most up-to-date information.

[0121] The following briefly describes the processing flow for example form 2.

[0122] Step 1: The Information Gathering Department collects information about fans' favorite idols. For example, it gathers the latest activity information, schedules, and related news about the idols. The Information Gathering Department can collect information from the idols' official websites, social media accounts, news sites, and fan communities. Furthermore, it uses AI to automate and efficiently collect information. Step 2: The Schedule Management Unit manages the schedule based on the information collected by the Information Gathering Unit. For example, it can automatically create event schedules for the user's favorite idols and set reminders. The Schedule Management Unit can also link with the user's calendar and add the favorite idol's event schedules to the user's calendar. It can also suggest the best way for the user to participate in events based on their schedule. Step 3: The merchandise purchase support department assists with merchandise purchases based on schedules managed by the schedule management department. For example, it checks the availability of merchandise, compares prices, and suggests the best place to buy. The merchandise purchase support department can obtain real-time inventory information from online shops and physical stores and notify users. It can also analyze users' purchase history and suggest related new products. Step 4: The Fan Community Department forms fan communities based on purchase information supported by the Merchandise Purchase Support Department. For example, it provides features for fans to interact with each other in a virtual space. The Fan Community Department includes chat and video call functions to promote interaction among fans. It can also collect event information within the community and notify users. Step 5: The dialogue unit conducts conversations between the user and their favorite idol based on community information created by the fan community unit. For example, an AI chatbot that has learned the idol's personality and characteristics will engage in natural conversations with the user. The dialogue unit can analyze the user's past conversation history and suggest the most appropriate conversation content. It can also update the conversation content based on the idol's latest activity information.

[0123] 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.

[0124] Data generation model 58 is a form of 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> Examples of generative AI include text generation AI, image generation AI, and multimodal generation AI. 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 (e.g., still image data or video data). The data generation model 58 infers from the input inference data according to the instructions indicated by the prompts, and outputs the inference result in one or more data formats from audio data, text data, and image data. The data generation model 58 includes, for example, text generation AI, image generation AI, and multimodal generation AI. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization. The specific processing unit 290 performs the specific processing described above using the data generation model 58. The data generation model 58 may be a fine-tuned model that outputs inference results from prompts that do not contain instructions, in which case the data generation model 58 can output inference results from prompts that do not contain instructions. In the data processing device 12, etc., there are multiple types of data generation models 58, and the data generation model 58 includes AI other than generative AI. AI other than generative AI includes, for example, linear regression, logistic regression, decision trees, random forests, support vector machines (SVMs), k-means clustering, convolutional neural networks (CNNs), recurrent neural networks (RNNs), generative adversarial networks (GANs), or naive Bayes, and can perform various processes, but is not limited to these examples. Also, the AI ​​may be an AI agent. Furthermore, when the processing of each of the above parts is performed by the AI, the processing may be performed by the AI ​​in part or in whole, but is not limited to this example.Furthermore, processing performed by AI, including generative AI, may be replaced with rule-based processing, and rule-based processing may be replaced with processing performed by AI, including generative AI.

[0125] Furthermore, the processing performed by the data processing system 10 described above is carried out by the specific processing unit 290 of the data processing device 12 or the control unit 46A of the smart device 14, but it may also be carried out by the specific processing unit 290 of the data processing device 12 and the control unit 46A of the smart device 14. In addition, the specific processing unit 290 of the data processing device 12 acquires or collects information necessary for processing from the smart device 14 or an external device, and the smart device 14 acquires or collects information necessary for processing from the data processing device 12 or an external device.

[0126] Each of the multiple elements described above, including the information gathering unit, schedule management unit, merchandise purchase support unit, fan community unit, and dialogue unit, is implemented by, for example, at least one of the smart device 14 and the data processing unit 12. For example, the information gathering unit is implemented by the control unit 46A of the smart device 14 and collects information from the favorite idol's official website and SNS accounts. The schedule management unit is implemented by, for example, the specific processing unit 290 of the data processing unit 12 and manages the schedule based on the collected information. The merchandise purchase support unit is implemented by, for example, the control unit 46A of the smart device 14 and compares the inventory status and prices of merchandise, and suggests the best place to buy it. The fan community unit is implemented by, for example, the specific processing unit 290 of the data processing unit 12 and provides a function to interact with other fans in a virtual space. The dialogue unit is implemented by, for example, the control unit 46A of the smart device 14, and an AI chatbot that has learned the personality and characteristics of the favorite idol engages in natural dialogue with the user. The correspondence between each unit and the device or control unit is not limited to the examples described above and can be changed in various ways.

[0127] [Second Embodiment] Figure 3 shows an example of the configuration of the data processing system 210 according to the second embodiment.

[0128] 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.

[0129] The data processing device 12 comprises a computer 22, a database 24, and a communication interface 26. 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 and / or LAN.

[0130] 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.

[0131] The microphone 238 receives voice signals from the user and accepts instructions from the user. The microphone 238 captures the voice signals from the user, 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.

[0132] 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, which captures images of the area around the user (for example, an imaging range defined by a field of view equivalent to the field of vision of a typical healthy person).

[0133] 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.

[0134] 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 by the processor 28. The storage 32 stores the specific processing program 56.

[0135] The processor 28 reads a 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 acting as a specific processing unit 290 according to the specific processing program 56 executed on the RAM 30.

[0136] 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. The identification processing unit 290 can estimate the user's emotions using the emotion identification model 59 and perform identification processing using the user's emotions. The emotion estimation function (emotion identification function) using the emotion identification model 59 performs various estimations and predictions regarding the user's emotions, including but not limited to these examples. Furthermore, emotion estimation and prediction also include, for example, emotion analysis.

[0137] In the smart glasses 214, specific processing is performed by the processor 46. The storage 50 stores a specific processing program 60. The processor 46 reads the specific processing program 60 from the storage 50 and executes the read specific processing program 60 on the RAM 48. The specific processing is realized by the processor 46 acting as a control unit 46A according to the specific processing program 60 executed on the RAM 48. The smart glasses 214 also have a data generation model 58 and an emotion identification model 59, similar to the data generation model and emotion identification model 59, and can perform processing similar to that of the specific processing unit 290 using these models.

[0138] Furthermore, other devices besides the data processing device 12 may also have the data generation model 58. For example, a server device may have the data generation model 58. In this case, the data processing device 12 obtains processing results (such as prediction results) using the data generation model 58 by communicating with the server device that has the data generation model 58. Also, the data processing device 12 may be a server device or a terminal device owned by the user (for example, a mobile phone, robot, home appliance, etc.).

[0139] 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.

[0140] The data generation model 58 is a so-called generative AI. An example of a data generation model 58 is a generative AI such as ChatGPT. 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 inference data such as audio data representing speech, text data representing text, and image data representing images (e.g., still image data or video data). The data generation model 58 infers from the input inference data according to the instructions indicated by the prompts, and outputs the inference result in one or more data formats such as audio data, text data, and image data. The data generation model 58 includes, for example, text generation AI, image generation AI, and multimodal generation AI. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization. The specific processing unit 290 performs the specific processing described above using the data generation model 58. The data generation model 58 may be a fine-tuned model that outputs inference results from prompts that do not contain instructions, in which case the data generation model 58 can output inference results from prompts that do not contain instructions. In the data processing device 12, etc., there are multiple types of data generation models 58, and the data generation model 58 includes AI other than generative AI. AI other than generative AI includes, for example, linear regression, logistic regression, decision trees, random forests, support vector machines (SVM), k-means clustering, convolutional neural networks (CNN), recurrent neural networks (RNN), generative adversarial networks (GAN), or naive Bayes, and can perform various processes, but is not limited to these examples. Also, the AI ​​may be an AI agent. Furthermore, when the processing of each part described above is performed by the AI, the processing may be performed by the AI ​​in part or in whole, but is not limited to this example. Also, processing performed by an AI including a generative AI may be replaced by rule-based processing, and rule-based processing may be replaced by processing performed by an AI including a generative AI.

[0141] The data processing system 210 according to the second embodiment performs the same processing as the data processing system 10 according to the first embodiment. The processing by the data processing system 210 is performed by the specific processing unit 290 of the data processing device 12 or the control unit 46A of the smart glasses 214, but it may also be performed by the specific processing unit 290 of the data processing device 12 and the control unit 46A of the smart glasses 214. In addition, the specific processing unit 290 of the data processing device 12 acquires or collects information necessary for processing from the smart glasses 214 or an external device, and the smart glasses 214 acquires or collects information necessary for processing from the data processing device 12 or an external device.

[0142] Each of the multiple elements described above, including the information gathering unit, schedule management unit, merchandise purchase support unit, fan community unit, and dialogue unit, is implemented by at least one of the smart glasses 214 and the data processing unit 12. For example, the information gathering unit is implemented by the control unit 46A of the smart glasses 214 and collects information from the favorite idol's official website and social media accounts. The schedule management unit is implemented by the specific processing unit 290 of the data processing unit 12 and manages the schedule based on the collected information. The merchandise purchase support unit is implemented by the control unit 46A of the smart glasses 214 and compares the availability and prices of merchandise, and suggests the best place to buy it. The fan community unit is implemented by the specific processing unit 290 of the data processing unit 12 and provides a function to interact with other fans in a virtual space. The dialogue unit is implemented by the control unit 46A of the smart glasses 214 and uses an AI chatbot that has learned the personality and characteristics of the favorite idol to have a natural conversation with the user. The correspondence between each unit and the device or control unit is not limited to the examples described above and can be changed in various ways.

[0143] [Third Embodiment] Figure 5 shows an example of the configuration of the data processing system 310 according to the third embodiment.

[0144] 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.

[0145] The data processing device 12 comprises a computer 22, a database 24, and a communication interface 26. 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 and / or LAN.

[0146] 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.

[0147] The microphone 238 receives voice signals from the user and accepts instructions from the user. The microphone 238 captures the voice signals from the user, 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.

[0148] 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, which captures images of the area around the user (for example, an imaging range defined by a field of view equivalent to the field of vision of a typical healthy person).

[0149] 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.

[0150] 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.

[0151] The processor 28 reads a 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 acting as a specific processing unit 290 according to the specific processing program 56 executed on the RAM 30.

[0152] 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. The identification processing unit 290 can estimate the user's emotions using the emotion identification model 59 and perform identification processing using the user's emotions. The emotion estimation function (emotion identification function) using the emotion identification model 59 performs various estimations and predictions regarding the user's emotions, including but not limited to these examples. Furthermore, emotion estimation and prediction also include, for example, emotion analysis.

[0153] In the headset terminal 314, specific processing is performed by the processor 46. The storage 50 stores a specific program 60. The processor 46 reads the specific program 60 from the storage 50 and executes the read specific program 60 on the RAM 48. The specific processing is realized by the processor 46 acting as a control unit 46A according to the specific program 60 executed on the RAM 48. The headset terminal 314 also has a data generation model 58 and an emotion identification model 59, similar to the data generation model and emotion identification model 59, and can perform processing similar to that of the specific processing unit 290 using these models.

[0154] Furthermore, other devices besides the data processing device 12 may also have the data generation model 58. For example, a server device may have the data generation model 58. In this case, the data processing device 12 obtains processing results (such as prediction results) using the data generation model 58 by communicating with the server device that has the data generation model 58. Also, the data processing device 12 may be a server device or a terminal device owned by the user (for example, a mobile phone, robot, home appliance, etc.).

[0155] 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.

[0156] The data generation model 58 is a so-called generative AI. An example of a data generation model 58 is a generative AI such as ChatGPT. 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 inference data such as audio data representing speech, text data representing text, and image data representing images (e.g., still image data or video data). The data generation model 58 infers from the input inference data according to the instructions indicated by the prompts, and outputs the inference result in one or more data formats such as audio data, text data, and image data. The data generation model 58 includes, for example, text generation AI, image generation AI, and multimodal generation AI. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization. The specific processing unit 290 performs the specific processing described above using the data generation model 58. The data generation model 58 may be a fine-tuned model that outputs inference results from prompts that do not contain instructions, in which case the data generation model 58 can output inference results from prompts that do not contain instructions. In the data processing device 12, etc., there are multiple types of data generation models 58, and the data generation model 58 includes AI other than generative AI. AI other than generative AI includes, for example, linear regression, logistic regression, decision trees, random forests, support vector machines (SVM), k-means clustering, convolutional neural networks (CNN), recurrent neural networks (RNN), generative adversarial networks (GAN), or naive Bayes, and can perform various processes, but is not limited to these examples. Also, the AI ​​may be an AI agent. Furthermore, when the processing of each part described above is performed by the AI, the processing may be performed by the AI ​​in part or in whole, but is not limited to this example. Also, processing performed by an AI including a generative AI may be replaced by rule-based processing, and rule-based processing may be replaced by processing performed by an AI including a generative AI.

[0157] The data processing system 310 according to the third embodiment performs the same processing as the data processing system 10 according to the first embodiment. The processing by the data processing system 310 is performed by the specific processing unit 290 of the data processing device 12 or the control unit 46A of the headset terminal 314, but may also be performed by the specific processing unit 290 of the data processing device 12 and the control unit 46A of the headset terminal 314. In addition, the specific processing unit 290 of the data processing device 12 acquires or collects information necessary for processing from the headset terminal 314 or an external device, and the headset terminal 314 acquires or collects information necessary for processing from the data processing device 12 or an external device.

[0158] Each of the multiple elements described above, including the information gathering unit, schedule management unit, merchandise purchase support unit, fan community unit, and dialogue unit, is implemented by, for example, at least one of the headset terminal 314 and the data processing unit 12. For example, the information gathering unit is implemented by the control unit 46A of the headset terminal 314 and collects information from the favorite idol's official website and SNS accounts. The schedule management unit is implemented by, for example, the specific processing unit 290 of the data processing unit 12 and manages the schedule based on the collected information. The merchandise purchase support unit is implemented by, for example, the control unit 46A of the headset terminal 314 and compares the inventory status and prices of merchandise, and suggests the best place to buy it. The fan community unit is implemented by, for example, the specific processing unit 290 of the data processing unit 12 and provides a function to interact with other fans in a virtual space. The dialogue unit is implemented by, for example, the control unit 46A of the headset terminal 314, and an AI chatbot that has learned the personality and characteristics of the favorite idol engages in natural dialogue with the user. The correspondence between each unit and the device or control unit is not limited to the examples described above and can be changed in various ways.

[0159] [Fourth Embodiment] Figure 7 shows an example of the configuration of the data processing system 410 according to the fourth embodiment.

[0160] 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.

[0161] The data processing device 12 comprises a computer 22, a database 24, and a communication interface 26. 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 and / or LAN.

[0162] 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.

[0163] The microphone 238 receives voice signals from the user and accepts instructions from the user. The microphone 238 captures the voice signals from the user, 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.

[0164] 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 image sensor or CCD image sensor, which captures images of the area around the user (for example, an imaging range defined by a field of view equivalent to the field of vision of a typical healthy person).

[0165] 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.

[0166] 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. The robot 414's facial expressions can also be expressed by controlling the illumination state of the LEDs in its eyes.

[0167] 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.

[0168] The processor 28 reads a 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 acting as a specific processing unit 290 according to the specific processing program 56 executed on the RAM 30.

[0169] 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. The identification processing unit 290 can estimate the user's emotions using the emotion identification model 59 and perform identification processing using the user's emotions. The emotion estimation function (emotion identification function) using the emotion identification model 59 performs various estimations and predictions regarding the user's emotions, including but not limited to these examples. Furthermore, emotion estimation and prediction also include, for example, emotion analysis.

[0170] In robot 414, specific processing is performed by processor 46. A specific program 60 is stored in storage 50. Processor 46 reads the specific program 60 from storage 50 and executes it on RAM 48. The specific processing is achieved by processor 46 acting as a control unit 46A according to the specific program 60 executed on RAM 48. Robot 414 also has data generation model 58 and emotion identification model 59, similar to those of the robot, and can perform processing similar to that of the specific processing unit 290 using these models.

[0171] Furthermore, other devices besides the data processing device 12 may also have the data generation model 58. For example, a server device may have the data generation model 58. In this case, the data processing device 12 obtains processing results (such as prediction results) using the data generation model 58 by communicating with the server device that has the data generation model 58. Also, the data processing device 12 may be a server device or a terminal device owned by the user (for example, a mobile phone, robot, home appliance, etc.).

[0172] 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.

[0173] The data generation model 58 is a so-called generative AI. An example of a data generation model 58 is a generative AI such as ChatGPT. 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 inference data such as audio data representing speech, text data representing text, and image data representing images (e.g., still image data or video data). The data generation model 58 infers from the input inference data according to the instructions indicated by the prompts, and outputs the inference result in one or more data formats such as audio data, text data, and image data. The data generation model 58 includes, for example, text generation AI, image generation AI, and multimodal generation AI. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization. The specific processing unit 290 performs the specific processing described above using the data generation model 58. The data generation model 58 may be a fine-tuned model that outputs inference results from prompts that do not contain instructions, in which case the data generation model 58 can output inference results from prompts that do not contain instructions. In the data processing device 12, etc., there are multiple types of data generation models 58, and the data generation model 58 includes AI other than generative AI. AI other than generative AI includes, for example, linear regression, logistic regression, decision trees, random forests, support vector machines (SVM), k-means clustering, convolutional neural networks (CNN), recurrent neural networks (RNN), generative adversarial networks (GAN), or naive Bayes, and can perform various processes, but is not limited to these examples. Also, the AI ​​may be an AI agent. Furthermore, when the processing of each part described above is performed by the AI, the processing may be performed by the AI ​​in part or in whole, but is not limited to this example. Also, processing performed by an AI including a generative AI may be replaced by rule-based processing, and rule-based processing may be replaced by processing performed by an AI including a generative AI.

[0174] The data processing system 410 according to the fourth embodiment performs the same processing as the data processing system 10 according to the first embodiment. The processing by the data processing system 410 is performed by the specific processing unit 290 of the data processing device 12 or the control unit 46A of the robot 414, but it may also be performed by the specific processing unit 290 of the data processing device 12 and the control unit 46A of the robot 414. In addition, the specific processing unit 290 of the data processing device 12 acquires or collects information necessary for processing from the robot 414 or an external device, and the robot 414 acquires or collects information necessary for processing from the data processing device 12 or an external device.

[0175] Each of the multiple elements described above, including the information gathering unit, schedule management unit, merchandise purchase support unit, fan community unit, and dialogue unit, is implemented by, for example, at least one of the robot 414 and the data processing unit 12. For example, the information gathering unit is implemented by the control unit 46A of the robot 414 and collects information from the favorite idol's official website and SNS accounts. The schedule management unit is implemented by, for example, the specific processing unit 290 of the data processing unit 12 and manages the schedule based on the collected information. The merchandise purchase support unit is implemented by, for example, the control unit 46A of the robot 414 and compares the inventory status and prices of merchandise, and suggests the best place to buy it. The fan community unit is implemented by, for example, the specific processing unit 290 of the data processing unit 12 and provides a function to interact with other fans in a virtual space. The dialogue unit is implemented by, for example, the control unit 46A of the robot 414, and an AI chatbot that has learned the personality and characteristics of the favorite idol engages in natural dialogue with the user. The correspondence between each unit and the device or control unit is not limited to the examples described above and can be changed in various ways.

[0176] 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.

[0177] Figure 9 shows the 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.

[0178] 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.

[0179] 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.

[0180] 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, and motorcycles, 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 based, for example, 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.

[0181] 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."

[0182] 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.

[0183] 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 method for the specific process may be used, which includes computer 22 and multiple other computers.

[0184] 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.

[0185] 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.

[0186] 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.

[0187] 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.

[0188] 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.

[0189] 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.

[0190] 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.

[0191] Furthermore, although the above-described examples were divided into four embodiments, some or all of these embodiments may be combined. Also, the smart device 14, smart glasses 214, headset terminal 314, and robot 414 are just examples, and they may be combined, or other devices may be used. Also, although the above-described examples were divided into two embodiments, Embodiment 1 and Embodiment 2, these may be combined.

[0192] 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 other things 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.

[0193] 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.

[0194] (Note 1) The Information Gathering Department collects information about fans' favorite idols, A schedule management unit manages the schedule based on the information collected by the aforementioned information collection unit, A merchandise purchase support unit assists in purchasing merchandise based on the schedule managed by the aforementioned schedule management unit, The Fan Community Department forms a fan community based on the purchase information supported by the aforementioned Goods Purchase Support Department, The system includes a dialogue unit that facilitates interaction between the user and their favorite character based on community information formed by the aforementioned fan community unit. A system characterized by the following features. (Note 2) The aforementioned information gathering unit, Collect the latest activity information, schedules, and related news of your favorite idol. The system described in Appendix 1, characterized by the features described herein. (Note 3) The aforementioned schedule management unit, Automatically create a schedule and set reminders for attending your favorite idol's events. The system described in Appendix 1, characterized by the features described herein. (Note 4) The aforementioned merchandise purchase support department, We check the availability and compare prices of merchandise to suggest the best place to buy. The system described in Appendix 1, characterized by the features described herein. (Note 5) The aforementioned fan community section, It provides a feature that allows fans to interact with each other in a virtual space. The system described in Appendix 1, characterized by the features described herein. (Note 6) The aforementioned dialogue unit, An AI chatbot that has learned the personality and characteristics of your favorite idol will engage in natural conversation with you. The system described in Appendix 1, characterized by the features described herein. (Note 7) The aforementioned information gathering unit, It estimates the user's emotions and prioritizes the information to collect based on those estimated emotions. The system described in Appendix 1, characterized by the features described herein. (Note 8) The aforementioned information gathering unit, Collect real-time activity information about your favorite idol and notify users immediately. The system described in Appendix 1, characterized by the features described herein. (Note 9) The aforementioned information gathering unit, Analyze your favorite idol's past activities and gather information to predict their future activities. The system described in Appendix 1, characterized by the features described herein. (Note 10) The aforementioned information gathering unit, It estimates the user's emotions and adjusts how information is displayed based on those estimated emotions. The system described in Appendix 1, characterized by the features described herein. (Note 11) The aforementioned information gathering unit, I collect not only news related to my favorite idol, but also related trending information. The system described in Appendix 1, characterized by the features described herein. (Note 12) The aforementioned information gathering unit, When collecting activity information about your favorite idol, prioritize collecting highly relevant information by considering the user's geographical location. The system described in Appendix 1, characterized by the features described herein. (Note 13) The aforementioned schedule management unit, It estimates the user's emotions and adjusts the timing of scheduled notifications based on those emotions. The system described in Appendix 1, characterized by the features described herein. (Note 14) The aforementioned schedule management unit, The system automatically adjusts the user's other plans based on their favorite idol's event schedule. The system described in Appendix 1, characterized by the features described herein. (Note 15) The aforementioned schedule management unit, We analyze your favorite idol's event schedule and suggest the best way to participate. The system described in Appendix 1, characterized by the features described herein. (Note 16) The aforementioned schedule management unit, It estimates the user's emotions and adjusts how the schedule is displayed based on those emotions. The system described in Appendix 1, characterized by the features described herein. (Note 17) The aforementioned schedule management unit, I manage not only my favorite idol's event schedule, but also the schedules of related fan events. The system described in Appendix 1, characterized by the features described herein. (Note 18) The aforementioned schedule management unit, We will suggest the optimal way for users to participate in the event, taking their geographical location into consideration. The system described in Appendix 1, characterized by the features described herein. (Note 19) The aforementioned merchandise purchase support department, It estimates the user's emotions and adjusts the timing of purchase suggestions based on those estimated emotions. The system described in Appendix 1, characterized by the features described herein. (Note 20) The aforementioned merchandise purchase support department, The system monitors the inventory status of merchandise in real time and immediately notifies users. The system described in Appendix 1, characterized by the features described herein. (Note 21) The aforementioned merchandise purchase support department, We analyze price fluctuations of merchandise and suggest the optimal time to purchase. The system described in Appendix 1, characterized by the features described herein. (Note 22) The aforementioned merchandise purchase support department, The system estimates the user's emotions and adjusts how purchase suggestions are displayed based on those estimated emotions. The system described in Appendix 1, characterized by the features described herein. (Note 23) The aforementioned merchandise purchase support department, We analyze your purchase history of merchandise and suggest related new products. The system described in Appendix 1, characterized by the features described herein. (Note 24) The aforementioned merchandise purchase support department, We suggest the best place to buy by taking into account the user's geographical location. The system described in Appendix 1, characterized by the features described herein. (Note 25) The aforementioned fan community section, It estimates user emotions and adjusts how users interact within the community based on those estimated emotions. The system described in Appendix 1, characterized by the features described herein. (Note 26) The aforementioned fan community section, We analyze users' activity history within the community and suggest the most suitable partners for interaction. The system described in Appendix 1, characterized by the features described herein. (Note 27) The aforementioned fan community section, Analyze the popularity of topics within the community and suggest topics relevant to the user. The system described in Appendix 1, characterized by the features described herein. (Note 28) The aforementioned fan community section, It estimates user sentiment and adjusts notification methods within the community based on the estimated user sentiment. The system described in Appendix 1, characterized by the features described herein. (Note 29) The aforementioned fan community section, Collect event information within the community and notify users. The system described in Appendix 1, characterized by the features described herein. (Note 30) The aforementioned fan community section, Taking the user's geographical location into consideration, we promote interaction with nearby fans. The system described in Appendix 1, characterized by the features described herein. (Note 31) The aforementioned dialogue unit, It estimates the user's emotions and adjusts the content of the conversation based on the estimated emotions. The system described in Appendix 1, characterized by the features described herein. (Note 32) The aforementioned dialogue unit, Learn the personality and characteristics of your favorite idol to enable more natural conversations. The system described in Appendix 1, characterized by the features described herein. (Note 33) The aforementioned dialogue unit, It analyzes the user's past conversation history and suggests the most suitable conversation content. The system described in Appendix 1, characterized by the features described herein. (Note 34) The aforementioned dialogue unit, It estimates the user's emotions and adjusts the timing of the interaction based on the estimated emotions. The system described in Appendix 1, characterized by the features described herein. (Note 35) The aforementioned dialogue unit, Update the conversation content based on the latest activity information of your favorite idol. The system described in Appendix 1, characterized by the features described herein. (Note 36) The aforementioned dialogue unit, Provide relevant dialogue content, taking into account the user's geographical location. The system described in Appendix 1, characterized by the features described herein. [Explanation of symbols]

[0195] 10, 210, 310, 410 Data Processing Systems 12 Data Processing Devices 14 Smart Devices 214 Smart Glasses 314 Headset-type terminal 414 Robots

Claims

1. The Information Gathering Department collects information about fans' favorite idols, A schedule management unit manages the schedule based on the information collected by the aforementioned information collection unit, A merchandise purchase support unit assists in purchasing merchandise based on the schedule managed by the aforementioned schedule management unit, The Fan Community Department forms a fan community based on the purchase information supported by the aforementioned Goods Purchase Support Department, The system includes a dialogue unit that facilitates interaction between the user and their favorite character based on community information formed by the aforementioned fan community unit. A system characterized by the following features.

2. The aforementioned information gathering unit, Collect the latest activity information, schedules, and related news of your favorite idol. The system according to feature 1.

3. The aforementioned schedule management unit, Automatically create a schedule and set reminders for attending your favorite idol's events. The system according to feature 1.

4. The aforementioned merchandise purchase support department, We check the availability and compare prices of merchandise to suggest the best place to buy. The system according to feature 1.

5. The aforementioned fan community section, It provides a feature that allows fans to interact with each other in a virtual space. The system according to feature 1.

6. The aforementioned dialogue unit, An AI chatbot that has learned the personality and characteristics of your favorite idol will engage in natural conversation with you. The system according to feature 1.

7. The aforementioned information gathering unit, It estimates the user's emotions and prioritizes the information to collect based on those estimated emotions. The system according to feature 1.

8. The aforementioned information gathering unit, Collect real-time activity information about your favorite idol and notify users immediately. The system according to feature 1.

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