system

Abstract

We provide the system. [Solution] A means for displaying a user interface for users to input information about celebrities or characters by voice, A means of obtaining information on relevant events and tourist destinations based on the input information through an external information provision service, A means of generating an optimal travel plan based on the acquired information and presenting it in audio and visual formats, A means of having the user review the generated plan and obtain their approval, Based on the approved schedule, a means of managing the necessary transportation and accommodation arrangements, A system that includes means of communication via an information device that notifies users of management information.

Description

Technical Field

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

Background Art

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

Prior Art Documents

Patent Documents

[0003]

Patent Document 1

Summary of the Invention

Problems to be Solved by the Invention

[0004] Conventionally, when participating in fan activities or events, it has been troublesome to search for related tourist spots, investigate traffic routes, and make reservations for accommodation facilities, and there has been a problem that it is difficult for users to enjoy them easily. It is required to solve this problem so that users can enjoy events and tourism efficiently without stress.

Means for Solving the Problems

[0005] This invention provides a system in which a user inputs information about a celebrity or character, and based on that information, retrieves information about related events and tourist destinations. It includes means for generating an optimal travel schedule based on the retrieved information, presenting it to the user, and obtaining their confirmation. This system supports a convenient and fulfilling fan experience by booking transportation and accommodation according to the optimized schedule and notifying the user of the booking information.

[0006] "Interface" refers to the screens and operating methods displayed on a device for users to input information.

[0007] An "event" refers to any gathering, such as a concert or promotional campaign, related to a celebrity or character.

[0008] A "tourist destination" refers to a place or attraction that has cultural or historical value and is intended for travelers to visit.

[0009] A "schedule" refers to a planned sequence of activities based on specific dates and times.

[0010] "Transportation" refers to public transportation and vehicles available to users when they are traveling.

[0011] "Accommodation facilities" refer to facilities such as hotels and inns that travelers can use for their stay.

[0012] "Reservation" refers to the prior procedure that a user takes to secure a specific service.

[0013] "Notification" refers to a message or warning intended to inform a user of information. [Brief explanation of the drawing]

[0014] [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]It is a conceptual diagram showing an example of the main functions of a data processing device and a smart device according to the first embodiment. [Figure 3] It is a conceptual diagram showing an example of the configuration of a data processing system according to the second embodiment. [Figure 4] It 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] It is a conceptual diagram showing an example of the configuration of a data processing system according to the third embodiment. [Figure 6] It 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] It is a conceptual diagram showing an example of the configuration of a data processing system according to the fourth embodiment. [Figure 8] It 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] It shows an emotion map to which a plurality of emotions are mapped. [Figure 10] It shows an emotion map to which a plurality of emotions are mapped. [Figure 11] It is a sequence diagram showing the processing flow of the data processing system in Example 1. [Figure 12] It is a sequence diagram showing the processing flow of the data processing system in Application Example 1. [Figure 13] It is a sequence diagram showing the processing flow of the data processing system in Example 2 when an emotion engine is combined. [Figure 14] It is a sequence diagram showing the processing flow of the data processing system in Application Example 2 when an emotion engine is combined.

Embodiments for Carrying Out the Invention

[0015] Hereinafter, an example of an embodiment of a system according to the technology of the present disclosure will be described with reference to the accompanying drawings.

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

[0017] In the following embodiments, a labeled processor (hereinafter simply referred to as "processor") may be a single arithmetic unit or a combination of multiple arithmetic units. Also, the processor may be a single type of arithmetic unit or a combination of multiple types of arithmetic units. Examples of arithmetic units include a CPU (Central Processing Unit), a GPU (Graphics Processing Unit), a GPGPU (General-Purpose computing on Graphics Processing Units), an APU (Accelerated Processing Unit), and the like.

[0018] In the following embodiments, a labeled RAM (Random Access Memory) is a memory in which information is temporarily stored and is used as a work memory by the processor.

[0019] In the following embodiments, a labeled storage is one or more non-volatile storage devices that store various programs and various parameters, etc. Examples of non-volatile storage devices include flash memory (SSD (Solid State Drive)), magnetic disks (e.g., hard disks), or magnetic tapes, and the like.

[0020] In the following embodiments, a labeled communication I / F (Interface) is an interface including a communication processor and an antenna, etc. The communication I / F controls communication between multiple computers. Examples of communication standards applied to the communication I / F include wireless communication standards including 5G (5th Generation Mobile Communication System), Wi-Fi (registered trademark), or Bluetooth (registered trademark), and the like.

[0021] In the following embodiments, "A and / or B" is synonymous with "at least one of A and B." That is, "A and / or B" means that it may be A alone, or B alone, or a combination of A and B. Furthermore, in this specification, the same concept as "A and / or B" applies when expressing three or more things linked by "and / or."

[0022] [First Embodiment]

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

[0024] As shown in Figure 1, the data processing system 10 includes a data processing device 12 and a smart device 14. An example of the data processing device 12 is a server.

[0025] The data processing device 12 comprises a computer 22, a database 24, and a communication interface 26. The computer 22 is an example of a "computer" related to the technology of this disclosure. The computer 22 comprises a processor 28, RAM 30, and storage 32. The processor 28, RAM 30, and storage 32 are connected to a bus 34. The database 24 and the communication interface 26 are also connected to the bus 34. The communication interface 26 is connected to a network 54. An example of the network 54 is a WAN (Wide Area Network) and / or a LAN (Local Area Network).

[0026] 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.

[0027] The reception device 38 is equipped with a touch panel 38A and a microphone 38B, etc., and receives user input. The touch panel 38A receives user input by detecting contact with an object (e.g., a pen or finger). The microphone 38B receives user input by detecting the user's voice. The control unit 46A transmits data indicating the user input received by the touch panel 38A and microphone 38B to the data processing device 12. In the data processing device 12, the specific processing unit 290 acquires the data indicating the user input.

[0028] The output device 40 includes a display 40A and a speaker 40B, and presents data to the user 20 by outputting the data in a form perceptible to the user 20 (e.g., audio and / or text). The display 40A displays visible information such as text and images according to instructions from the processor 46. The speaker 40B outputs audio according to instructions from the processor 46. The camera 42 is a small digital camera equipped with an optical system such as a lens, aperture, and shutter, and an image sensor such as a CMOS (Complementary Metal-Oxide-Semiconductor) image sensor or a CCD (Charge Coupled Device) image sensor.

[0029] 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.

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

[0031] 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.

[0032] The storage 32 stores the data generation model 58 and the emotion identification model 59. The data generation model 58 and the emotion identification model 59 are used by the identification processing unit 290.

[0033] In the smart device 14, the processor 46 performs the reception output processing. The storage 50 stores the reception output program 60. The reception output program 60 is used in conjunction with a specific processing program 56 by the data processing system 10. The processor 46 reads the reception output program 60 from the storage 50 and executes the read reception output program 60 on the RAM 48. The reception output processing is realized by the processor 46 operating as a control unit 46A according to the reception output program 60 executed on the RAM 48.

[0034] Next, the specific processing performed by the specific processing unit 290 of the data processing device 12 will be described. In the following description, the data processing device 12 will be referred to as the "server" and the smart device 14 as the "terminal".

[0035] A description of embodiments for carrying out this invention will be given.

[0036] The user launches the "Oshi-katsu Concierge" app on their device. This app provides a user interface for the user to enter the name of a celebrity or character. The user uses this interface to select information about their favorite celebrity or character and tags indicating related activities (e.g., "Concert," "Sightseeing," etc.).

[0037] The terminal sends information entered by the user to the server. Based on the received information, the server retrieves event information and tourist destination information tailored to the user's interests by referring to databases and external APIs.

[0038] The server analyzes relevant information and generates an optimal schedule. The schedule includes the user's travel route, destinations, and required duration of stay. The server sends the generated schedule to the terminal, which then presents it to the user in a visually easy-to-understand format.

[0039] After the user reviews and modifies the presented schedule, they perform a final confirmation. If confirmed, the terminal requests the server to book transportation and accommodation. The server then makes the necessary reservations through the reservation system and sends the reservation completion information to the terminal.

[0040] The device notifies the user that the reservation is complete and provides them with complete information to support comprehensive fan and tourism activities.

[0041] For example, if a user wants to attend a concert and sightsee for a "specific celebrity," the app will retrieve the latest concert information, suggest transportation options from the user's current location to the destination, and propose nearby tourist attractions. Furthermore, these details are incorporated into a daily itinerary, such as travel schedules and planned visits, and presented to the user. Once the booking is complete, the user can enjoy their planned fan activities with peace of mind.

[0042] The following describes the processing flow.

[0043] Step 1:

[0044] The user launches the "Oshi-katsu Concierge" app on their device. The device displays an interface for the user to enter the name of a celebrity or character.

[0045] Step 2:

[0046] The user selects the name of their favorite idol and tags related to their activities (e.g., "concert," "tourism"). The device then sends the entered information to the server.

[0047] Step 3:

[0048] Based on the information received by the server, it retrieves relevant event and tourist information by referencing databases and external APIs. Specifically, it collects the latest event schedules related to a particular celebrity and tourist attractions near the event locations.

[0049] Step 4:

[0050] The server analyzes the acquired information and generates an optimal schedule. This schedule incorporates event dates, planned tourist destinations, travel times, and routes.

[0051] Step 5:

[0052] The server generates a schedule and sends it to the terminal. The terminal then presents the schedule to the user in a visually easy-to-understand format. The user reviews the presented information and makes any necessary corrections.

[0053] Step 6:

[0054] Once the user agrees to the schedule, the device sends a request for transportation and accommodation bookings to the server. The server then completes the necessary booking procedures and arranges transportation and accommodation through an external booking system.

[0055] Step 7:

[0056] The server sends the completed reservation information to the device. The device notifies the user that all reservations are complete and that they are ready to engage in their fan activities and sightseeing.

[0057] (Example 1)

[0058] Next, we will describe Example 1. In the following description, the data processing device 12 will be referred to as the "server," and the smart device 14 will be referred to as the "terminal."

[0059] In today's world, efficiently planning and executing events and sightseeing activities related to specific celebrities or characters as part of fan activities is often difficult due to the sheer volume and complexity of information. Users find it time-consuming to search and organize necessary information and adjust their schedules. Furthermore, there is a lack of support in areas such as travel and accommodation reservations, so there is a need for a system that allows for smoother planning and enables people to enjoy their activities with peace of mind.

[0060] The identification process performed by the identification processing unit 290 of the data processing device 12 in Example 1 is realized by the following means.

[0061] In this invention, the server includes means for providing a display means for users to input information about celebrities or characters, means for acquiring relevant event and tourist spot information based on the input information, and means for calculating transportation and required stay time in the generated itinerary and optimizing it using a generation AI model. As a result, users can easily acquire relevant event information, automatically create and modify an optimized itinerary, and leave arrangements for transportation and accommodation to the system.

[0062] A "user" refers to a person who uses the system to input information related to a specific celebrity or character and plans events or tourist activities.

[0063] "Display means" refers to a method of providing an interface on a terminal that allows users to input information about famous people or characters.

[0064] "Event" refers to an event or activity related to a specific celebrity or character.

[0065] "Tourist destination information" refers to information about tourist destinations and places that can be visited that are relevant to the user's interests.

[0066] "Schedule" refers to a planned date or schedule that connects events that users wish to participate in with tourist destinations they wish to visit.

[0067] "Means of transportation" refers to the means or methods of transport that users use to travel over a set period of time.

[0068] "Required stay duration" refers to the recommended or necessary length of stay for a user at a particular event or tourist attraction.

[0069] A "generative AI model" refers to artificial intelligence technology used to analyze large amounts of data and automatically plan and optimize the optimal schedule based on user behavior and interests.

[0070] This invention is a system for efficiently planning and executing fan activities and tourism activities related to specific celebrities or characters. Users begin by launching the "Oshi-katsu Concierge App" using their device and entering information about the celebrity or character. The display means functions as an input interface, allowing users to select events and related tags they wish to participate in.

[0071] The terminal sends the information entered by the user to the server. Based on this information, the server dynamically retrieves relevant event and tourist spot information by referencing external information provision services (APIs) and internal databases. Existing geographic information systems such as Google® Maps API are used in this process. The server further optimizes all items, using a generative AI model to generate the optimal itinerary, calculating transportation methods and required stay times.

[0072] The generated schedule is sent from the server to the terminal, which then presents it to the user through a visual interface. This interface includes map display and schedule confirmation functions. The user can review the schedule and make manual modifications as needed.

[0073] For example, if a user wants to attend a concert by a "specific celebrity" and do some sightseeing in the surrounding area, the app will retrieve the latest concert information and suggest transportation options (e.g., train or bus) from the user's current location to the destination. Furthermore, it will also suggest nearby tourist attractions.

[0074] During the booking process, the terminal requests the server to book transportation and accommodation based on the user's confirmed schedule. The server executes this request through the booking system and, after the booking is complete, sends the information to the terminal.

[0075] An example of a prompt is, "Retrieve the latest concert information for a specific celebrity, combine it with information on related tourist destinations, and generate and present a travel plan." Based on this prompt, the generating AI model proposes an appropriate schedule. In this way, users can plan and carry out their fan activities with peace of mind, efficiently, and smoothly.

[0076] The flow of the specific processing in Example 1 will be explained using Figure 11.

[0077] Step 1:

[0078] The user launches the "Oshikatsu Concierge App" on their device. The user interface is displayed, and the user enters the name of a celebrity or character and related activity tags. These tags may include specific events (e.g., "concert") or locations (e.g., "sightseeing"). The device sends this input as data to the server.

[0079] Step 2:

[0080] The server processes the received input data and queries external information provision services (APIs) and internal databases to retrieve relevant event and tourist destination information. Specifically, the server retrieves relevant event information based on the entered celebrity information and tourist destination information based on specified activity tags. As part of data processing, the retrieved information is filtered and consistency checked. The retrieved results are then prepared for the next step.

[0081] Step 3:

[0082] The server uses a generative AI model to generate the optimal itinerary. In this process, the AI ​​analyzes acquired event information and tourist spot information to formulate the best itinerary for the user. It calculates transportation methods and required stay times to create an overall efficient schedule. The generated itinerary is sent to the terminal as data.

[0083] Step 4:

[0084] The terminal presents the schedule to the user through a visual user interface based on schedule data received from the server. Information is provided to the user in an easy-to-understand manner through map displays and schedule lists. The output includes the order of visits, travel route, and scheduled times. The user can review this information and make corrections if necessary.

[0085] Step 5:

[0086] After the user reviews and modifies their itinerary, they approve the final itinerary on their device and request necessary reservations from the server. Specifically, the device creates requests for transportation and accommodation reservations and sends them to the server.

[0087] Step 6:

[0088] The server executes reservations for transportation and accommodation through the reservation system based on the received reservation request. Using the relevant APIs, it purchases tickets and secures accommodations, and sends the reservation completion information as data to the terminal.

[0089] Step 7:

[0090] The terminal notifies the user based on reservation completion information from the server. The notification includes reservation details, and the user is ultimately ready to enjoy their planned fan activities or sightseeing activities safely and efficiently.

[0091] (Application Example 1)

[0092] Next, we will explain Application Example 1. In the following explanation, the data processing device 12 will be referred to as the "server," and the smart device 14 will be referred to as the "terminal."

[0093] Conventional information acquisition systems make it difficult for users to efficiently gather information related to their favorite idol's activities and create optimal travel plans. Furthermore, the process from information acquisition to planning and actual procedures is complex and burdensome for users. A system is needed to solve this problem and support efficient and smooth idol-related activities.

[0094] The specific processing performed by the specific processing unit 290 of the data processing device 12 in Application Example 1 is realized by the following means.

[0095] In this invention, the server includes means for displaying a user interface for users to input information about celebrities or characters by voice, means for generating an optimal travel plan based on the acquired information and presenting it in voice and visual form, and means for managing the necessary transportation and accommodation arrangements based on the approved schedule. This makes it possible for users to easily acquire information related to their favorite idols, create an optimal plan, and manage all necessary procedures in one place.

[0096] A "user interface" is a means for users to directly interact with machines and applications, and it plays a role in bridging the gap between digital devices and humans.

[0097] An "external information provision service" is a third-party service that provides data via the internet or other means, enabling access to obtain specific information.

[0098] A "plan" is the process of developing detailed action plans to achieve a specific objective, and it is a framework for effectively utilizing time and resources.

[0099] "Presenting information aurally and visually" refers to a method of conveying information to users in an easy-to-understand manner using both audio output and graphical displays.

[0100] "Procedure management" is a methodology for efficiently and accurately handling a series of tasks such as reservations and arrangements, and a system for appropriately allocating related resources.

[0101] A "system" is a system designed to perform tasks independently with minimal user intervention, and is a highly responsive technology that possesses efficiency and flexibility.

[0102] This invention aims to support fans' activities related to their favorite celebrities or characters by enabling them to effectively plan and manage activities associated with those celebrities or characters. This system possesses advanced data acquisition and processing capabilities and is implemented as follows:

[0103] First, the user inputs information about a celebrity or character via voice into the user interface through their device. This information is then transmitted by the system to an external information service to retrieve relevant event and tourist destination information. The server uses this retrieved information to generate an optimal travel plan. This plan is presented to the user visually and audibly, allowing them to review it.

[0104] If the plan is approved, the server will automatically handle the necessary transportation and accommodation arrangements. This process includes speech recognition using Google Cloud Dialogflow, scheduling using the Google Calendar API, and a hotel reservation system using the Booking.com API.

[0105] For example, if a user wants to plan an "art event" and "local sightseeing," the server will find information on the nearest art event, coordinate transportation from the user's current location to the destination, and suggest nearby tourist attractions. All of this booking information and suggestions are provided comprehensively to the user.

[0106] An example of a prompt message to enable the implementation of this invention is as follows: "Create your next travel plan. The destination is a local city, and you will attend an art event. Components include transportation, accommodation, and places to visit. How would you put together the optimal schedule?"

[0107] This allows users to easily plan events and sightseeing trips that suit their interests and complete the necessary procedures quickly and efficiently.

[0108] The flow of a specific process in Application Example 1 will be explained using Figure 12.

[0109] Step 1:

[0110] The device receives voice input from the user. Using speech recognition, it receives the user's desired celebrity or character and related activities, and converts this input data into text. The converted text information becomes the input for the next step.

[0111] Step 2:

[0112] Based on user input, the server retrieves event and tourist information via external information services. The server uses APIs to query necessary databases and collect details of relevant activities. The obtained data, including event names, locations, and dates, is prepared to generate personalized suggestions for the user.

[0113] Step 3:

[0114] Based on the acquired information, the server generates an optimal travel plan that takes into account the user's preferences and time constraints. The server uses a generation AI model to analyze the information and assemble the plan by calculating the travel route, duration of stay, and means of transportation. The generated plan is output as data that is visually displayed on the terminal.

[0115] Step 4:

[0116] The user reviews the proposed travel plan and makes modifications as needed. The device sends these changes to the server, which generates an updated plan. This process incorporates user feedback to create the most satisfying plan.

[0117] Step 5:

[0118] After the plan is approved, the server manages reservations for transportation and accommodation. Specifically, the server uses reservation management APIs such as Booking.com to query and confirm the necessary reservations. Once the reservations are made, the results are returned to the terminal, and the user can perform a final check in a closed loop and confidently begin planning.

[0119] Furthermore, an emotion engine that estimates the user's emotions may be incorporated. That is, the identification processing unit 290 may use the emotion identification model 59 to estimate the user's emotions and perform identification processing using the user's emotions.

[0120] A description of embodiments for carrying out this invention will be given.

[0121] The user launches the "Oshikatsu Concierge" app on their device. This application provides an interface for the user to enter the name of a celebrity or character. In addition, it has an emotion engine that recognizes emotions through the user's input and reactions.

[0122] When a user selects the name of their favorite idol and related activity tags (e.g., "concert," "tourism"), the device sends this information to the server. Based on the received information, the server consults databases and external APIs to gather relevant event and tourist destination information.

[0123] The server analyzes the acquired information and generates an optimal schedule. During this process, an emotion engine determines the user's emotional data, incorporating options and plans tailored to the user's mood. For example, a user who is feeling a little tired might be recommended relaxing tourist destinations or a schedule with ample time.

[0124] The device presents the generated schedule to the user, and the emotion engine monitors the user's response. This monitoring helps evaluate whether the user is satisfied with the schedule.

[0125] Once the user agrees to the schedule, the device requests the server to make reservations for transportation and accommodation. The server then makes these reservations and sends the completed reservation information back to the device.

[0126] For example, if a user is a fan of a "specific celebrity" and the emotion engine detects the user's recent stress, the server will offer relaxation-focused suggestions in addition to typical sightseeing activities (e.g., visiting a hot spring resort or securing a place to relax). In this way, a more personalized fan experience is provided.

[0127] Ultimately, the device notifies the user that all reservations are complete and prepares them to enjoy their fan activities with peace of mind according to the schedule. This approach allows the system to more emotionally support fan activities and increase user satisfaction.

[0128] The following describes the processing flow.

[0129] Step 1:

[0130] The user launches the "Oshi-katsu Concierge" app on their device. The device displays an interface for the user to enter the name of a celebrity or character.

[0131] Step 2:

[0132] The user enters or selects the name of their favorite idol and related activity tags (e.g., "concert," "tourism"). The device sends the entered information and selections to the server.

[0133] Step 3:

[0134] Based on the information received by the server, it uses databases and external APIs to retrieve relevant event information and tourist destination information.

[0135] Step 4:

[0136] The server analyzes the collected information and generates the optimal travel schedule for the user. At this point, the emotion engine monitors the user's emotional data and makes emotionally sensitive adjustments to the schedule.

[0137] Step 5:

[0138] The device presents the generated schedule to the user. The emotion engine emotionally evaluates the user's response and makes further adjustments as needed.

[0139] Step 6:

[0140] If the user agrees to the schedule, the device sends a booking request to the server. This includes booking transportation and accommodation based on the selected schedule.

[0141] Step 7:

[0142] The server executes the necessary reservation procedures and sends the completed reservation information to the terminal. The terminal then notifies the user that the reservation is complete, allowing them to confidently begin their fan activities and sightseeing.

[0143] Step 8:

[0144] The emotion engine continuously monitors user emotions during the trip and when new events are announced, dynamically revising schedules and making new suggestions as needed to further improve satisfaction.

[0145] (Example 2)

[0146] Next, we will describe Example 2. In the following description, the data processing device 12 will be referred to as the "server" and the smart device 14 as the "terminal".

[0147] In today's information-saturated environment, efficiently acquiring information about what users support and creating individual action plans based on that information is not easy. Furthermore, providing personalized experiences based on users' emotions is also difficult. Therefore, there is a need for methods to improve the value of the user experience.

[0148] The identification process performed by the identification processing unit 290 of the data processing device 12 in Example 2 is realized by the following means.

[0149] In this invention, the server includes means for providing a screen for the user to input information about the object they support, means for dynamically acquiring relevant activity information and destination information using the input information and an emotion engine, and means for generating individually tailored action plans that take emotion data into consideration. This makes it possible for users to easily obtain an optimal action plan that matches their emotions.

[0150] A "user" refers to an individual who uses the system to create an action plan tailored to their interests and preferences.

[0151] "Target of support" refers to any entity, including celebrities and characters, that users are interested in and wish to gather information about or participate in related activities.

[0152] "Providing a screen" refers to the function of displaying an interface that allows users to input information.

[0153] An "emotion engine" refers to an algorithm or program that analyzes user input and past responses to determine the user's emotional state.

[0154] "Dynamic acquisition" refers to the process of collecting necessary data in real time from external sources and utilizing it within the system.

[0155] An "action plan" refers to a plan that includes details of recommended activities and schedules, generated for the user's benefit.

[0156] "Transportation means" refers to the means of transport used by users to travel to their destination.

[0157] "Accommodation facilities" refers to lodging services provided to users.

[0158] "External information acquisition means" refers to methods or devices used to acquire necessary data using external information provision services or APIs.

[0159] This system performs advanced information processing to enable users to create individual action plans. Specifically, elements such as servers, terminals, and emotion engines work together in coordination.

[0160] The user launches the "Oshikatsu Concierge" app using their device. This application provides an interface for the user to input the name of the person or thing they support and associated activity tags. The device then sends the input data to the server.

[0161] The server dynamically acquires necessary event and tourist information using external information acquisition methods based on data received from the user. This is done, for example, using the Google Maps API or other information-providing APIs. The acquired information is stored in a database and used in the next step.

[0162] Next, the server activates its emotion engine to analyze the user's emotional state. Using a generative AI model, it generates the most appropriate action plan based on the emotional data. This plan includes selecting activities and tourist destinations that match the user's emotions. For example, if the user is experiencing high stress levels, a plan emphasizing relaxation will be suggested.

[0163] The generated action plan is sent to the device and presented to the user. User feedback and reactions are also monitored by the emotion engine via the device. Finally, the device, with the help of the server, makes reservations for transportation and accommodation and notifies the user that all arrangements are complete.

[0164] As a concrete example, a user might be a fan of a "specific celebrity" and want to attend a performance by that person. In this case, a possible prompt might be, "I'm a fan of 'specific celebrity' and want to attend a concert. I'm also looking for a place to relax." Based on this, the system provides an experience optimized for the user's emotions and schedule.

[0165] In this way, the system creates a personalized and valuable experience for users, enabling efficient information acquisition and planning.

[0166] The flow of the specific processing in Example 2 will be explained using Figure 13.

[0167] Step 1:

[0168] The user launches the "Oshikatsu Concierge" app on their device. The device displays an interface for the user to enter the name of the person or thing they support and activity tags. The user enters information about a specific celebrity and selects activity tags such as "Concert." This input data will be used in a later step.

[0169] Step 2:

[0170] The terminal sends the user's input information to the server. The server receives the input data and dynamically retrieves relevant event and tourist information using its database and external information retrieval methods. For example, it retrieves tourist information from the Google Maps API. The output of this step is a set of retrieved relevant information.

[0171] Step 3:

[0172] The server analyzes the user's emotional state using an emotion engine based on user input data and acquired information. Using a generative AI model, it generates a personalized action plan tailored to the user's emotions. For example, it might suggest a relaxation-focused schedule for a user experiencing high stress. The output is a personalized action plan.

[0173] Step 4:

[0174] The server sends the generated action plan to the terminal. The terminal presents the plan to the user and collects the user's response. The emotion engine evaluates the response and measures user satisfaction. It is also determined at this step whether the user has reviewed the plan.

[0175] Step 5:

[0176] If the user agrees to the action plan, the terminal requests the server to make reservations for transportation and accommodation. The server then makes the necessary reservations, for example, using a transportation reservation API. At this step, information confirming the completion of the reservations is output.

[0177] Step 6:

[0178] The device notifies the user that all reservations and arrangements are complete. Upon receiving the notification, the user is ready to safely begin their fan activities. The output of this step is a completion notification to the user.

[0179] (Application Example 2)

[0180] Next, we will explain application example 2. In the following explanation, the data processing device 12 will be referred to as a "server" and the smart device 14 as a "terminal".

[0181] While advancements in information technology have led to a wide variety of fan activity support applications offering diverse functions, there remains a challenge in providing truly personalized services that resonate with users' emotions. In particular, there is a lack of means to make appropriate suggestions based on the user's psychological state, raising concerns about a decline in the quality of the user experience. Furthermore, feedback and rewards for purchase behavior often fail to reflect the user's emotional state, resulting in a lack of increased user satisfaction.

[0182] The specific processing performed by the specific processing unit 290 of the data processing device 12 in Application Example 2 is realized by the following means.

[0183] In this invention, the server includes means for performing emotion analysis and determining the user's psychological state, means for acquiring information on relevant events and tourist destinations based on the input information and the results of the emotion analysis, and means for presenting special offers tailored to the user's emotional state. This makes it possible to provide a personalized experience that responds to the user's emotions.

[0184] A "user" is an individual who uses an application to input information or receive services.

[0185] A "celebrity" is a person who is widely known to the general public and is active in the entertainment industry or various other fields.

[0186] A "virtual character" is a character that does not actually exist but appears in many media.

[0187] An "input / output device" is a digital device equipped with an interface for users to input information or display results.

[0188] "Emotional analysis" is a process of diagnosing a user's psychological state through their input and responses.

[0189] "Psychological state" refers to the user's mental condition, including their current mood and stress level.

[0190] "Events" refer to performances, events, or related activities.

[0191] A "tourist destination" is a geographical or cultural place that is intended for tourists to visit.

[0192] A "travel plan" is a schedule that outlines the places a user will visit, the events they will participate in, their itinerary, and their means of transportation.

[0193] "Transportation means" refers to the vehicles used by users to travel.

[0194] "Accommodation facilities" refer to establishments or services that provide places for users to stay during their travels.

[0195] A "reservation" is the process of securing the date, time, and location for using a service in advance.

[0196] "Special offers" refer to benefits or services provided based on the user's psychological state and purchase history.

[0197] The system for implementing this invention allows users to use a smartphone or tablet device to input information related to celebrities or virtual characters. The application on the device includes an emotion engine for analyzing the user's emotions, thereby measuring their psychological state. The emotion engine uses the "TENSORFLOW®" library and processes data in real time.

[0198] The server retrieves information about events and tourist destinations via external data provision services based on information and sentiment data received from terminals. During this process, "pandas" is used to format and analyze the data. This ensures that users always receive the most up-to-date information.

[0199] Furthermore, the server considers the results of sentiment analysis to present special offers to users. Generating these special offers involves considering the user's past purchase history and psychological state, and using machine learning libraries such as "scikit-learn" to create optimized offers.

[0200] The travel plan and special offers generated by the server are sent to the user's device for review. After review, reservations for transportation and accommodation are automatically made based on the user's selections.

[0201] As a concrete example, if a user is looking for tickets to a music event and the emotion engine determines that the user is experiencing high stress levels, the server can offer a discount package at a relaxation facility in addition to the usual ticket purchase options. An example of a prompt for this suggestion could be, "What special offers can you offer to a user who is experiencing stress?"

[0202] In this way, the system can provide personalized services that are tailored to the user's emotions and needs, thereby increasing satisfaction.

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

[0204] Step 1:

[0205] The terminal retrieves information about a celebrity or virtual character from the user. The user then inputs the relevant information using the application's input / output device. This information is captured as a prompt.

[0206] Step 2:

[0207] The device uses an emotion engine to analyze the user's current psychological state. It acquires data from the user's facial expressions and voice as input and uses the "TensorFlow" library to diagnose stress levels and mood. The diagnostic results are used for personalization in subsequent steps.

[0208] Step 3:

[0209] The terminal sends the input information and the sentiment analysis results to the server. Based on the received information, the server collects information on events and tourist destinations from external data provision services. Here, "pandas" is used to format and filter the acquired data and select information that is highly relevant to the user.

[0210] Step 4:

[0211] The server generates a travel plan based on all the information. It considers the results of sentiment analysis to determine a suitable time allocation and destinations for the user. An optimization algorithm using "scikit-learn" is employed for plan generation. The output is a detailed travel schedule.

[0212] Step 5:

[0213] The server generates special offers tailored to the user's psychological state. It analyzes the user's past purchase history and current emotional state as input data to generate special offers, such as discounted packages or plans with added benefits.

[0214] Step 6:

[0215] The server sends the travel plan and special offers to the device, which then presents them to the user. The user can review and select the plan on the screen, and the device sends the results back to the server.

[0216] Step 7:

[0217] The server makes reservations for necessary transportation and accommodations based on the final travel plan. After the reservations are complete, the information is sent to the terminal and notified to the user. The reservation information is then displayed on the terminal as a confirmation screen, ensuring the user's peace of mind.

[0218] 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.

[0219] Data generation model 58 is a so-called generative AI (Artificial Intelligence). An example of data generation model 58 is ChatGPT (registered trademark) (Internet search).<URL: https: / / openai.com / blog / chatgpt> ), Gemini (registered trademark) (Internet search) <url: https: gemini.google.com ?hl="ja">Examples of generative AI include the following. The data generation model 58 is obtained by performing deep learning on a neural network. The data generation model 58 is input with prompts containing instructions, and with inference data such as audio data representing speech, text data representing text, and image data representing images. The data generation model 58 infers from the input inference data according to the instructions indicated by the prompts, and outputs the inference results in data formats such as audio data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization.

[0220] In the above embodiment, an example was given in which specific processing is performed by the data processing device 12, but the technology of this disclosure is not limited thereto, and the specific processing may also be performed by the smart device 14.

[0221] [Second Embodiment]

[0222] Figure 3 shows an example of the configuration of the data processing system 210 according to the second embodiment.

[0223] 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.

[0224] The data processing device 12 comprises a computer 22, a database 24, and a communication interface 26. The computer 22 is an example of a "computer" related to the technology of this disclosure. The computer 22 comprises a processor 28, RAM 30, and storage 32. The processor 28, RAM 30, and storage 32 are connected to a bus 34. The database 24 and the communication interface 26 are also connected to the bus 34. The communication interface 26 is connected to a network 54. An example of the network 54 is a WAN (Wide Area Network) and / or a LAN (Local Area Network).

[0225] 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.

[0226] The microphone 238 receives voice signals from the user 20 and receives instructions from the user 20. The microphone 238 captures the voice signals from the user 20, converts the captured voice into audio data, and outputs it to the processor 46. The speaker 240 outputs audio according to the instructions from the processor 46.

[0227] Camera 42 is a small digital camera equipped with an optical system including a lens, aperture, and shutter, and an image sensor such as a CMOS (Complementary Metal-Oxide-Semiconductor) image sensor or a CCD (Charge Coupled Device) image sensor, and captures images of the area around the user 20 (for example, an imaging range defined by a field of view equivalent to the width of a typical healthy person's field of vision).

[0228] 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.

[0229] Figure 4 shows an example of the main functions of the data processing device 12 and the smart glasses 214. As shown in Figure 4, the data processing device 12 performs specific processing using the processor 28. The storage 32 stores the specific processing program 56.

[0230] The specific processing program 56 is an example of a "program" relating to the technology of this disclosure. The processor 28 reads the specific processing program 56 from the storage 32 and executes the read specific processing program 56 on the RAM 30. The specific processing is realized by the processor 28 operating as a specific processing unit 290 in accordance with the specific processing program 56 executed on the RAM 30.

[0231] The storage 32 stores the data generation model 58 and the emotion identification model 59. The data generation model 58 and the emotion identification model 59 are used by the identification processing unit 290.

[0232] In the smart glasses 214, the processor 46 performs the reception output processing. The storage 50 stores the reception output program 60. The processor 46 reads the reception output program 60 from the storage 50 and executes the read reception output program 60 on the RAM 48. The reception output processing is realized by the processor 46 operating as a control unit 46A according to the reception output program 60 executed on the RAM 48.

[0233] Next, the identification processing performed by the identification processing unit 290 of the data processing device 12 will be described. In the following description, the data processing device 12 will be referred to as the "server" and the smart glasses 214 will be referred to as the "terminal".

[0234] A description of embodiments for carrying out this invention will be given.

[0235] The user launches the "Oshi-katsu Concierge" app on their device. This app provides a user interface for the user to enter the name of a celebrity or character. The user uses this interface to select information about their favorite celebrity or character and tags indicating related activities (e.g., "Concert," "Sightseeing," etc.).

[0236] The terminal sends information entered by the user to the server. Based on the received information, the server retrieves event information and tourist destination information tailored to the user's interests by referring to databases and external APIs.

[0237] The server analyzes relevant information and generates an optimal schedule. The schedule includes the user's travel route, destinations, and required duration of stay. The server sends the generated schedule to the terminal, which then presents it to the user in a visually easy-to-understand format.

[0238] After the user reviews and modifies the presented schedule, they perform a final confirmation. If confirmed, the terminal requests the server to book transportation and accommodation. The server then makes the necessary reservations through the reservation system and sends the reservation completion information to the terminal.

[0239] The device notifies the user that the reservation is complete and provides them with complete information to support comprehensive fan and tourism activities.

[0240] For example, if a user wants to attend a concert and sightsee for a "specific celebrity," the app will retrieve the latest concert information, suggest transportation options from the user's current location to the destination, and propose nearby tourist attractions. Furthermore, these details are incorporated into a daily itinerary, such as travel schedules and planned visits, and presented to the user. Once the booking is complete, the user can enjoy their planned fan activities with peace of mind.

[0241] The following describes the processing flow.

[0242] Step 1:

[0243] The user launches the "Oshi-katsu Concierge" app on their device. The device displays an interface for the user to enter the name of a celebrity or character.

[0244] Step 2:

[0245] The user selects the name of their favorite idol and tags related to their activities (e.g., "concert," "tourism"). The device then sends the entered information to the server.

[0246] Step 3:

[0247] Based on the information received by the server, it retrieves relevant event and tourist information by referencing databases and external APIs. Specifically, it collects the latest event schedules related to a particular celebrity and tourist attractions near the event locations.

[0248] Step 4:

[0249] The server analyzes the acquired information and generates an optimal schedule. This schedule incorporates event dates, planned tourist destinations, travel times, and routes.

[0250] Step 5:

[0251] The server generates a schedule and sends it to the terminal. The terminal then presents the schedule to the user in a visually easy-to-understand format. The user reviews the presented information and makes any necessary corrections.

[0252] Step 6:

[0253] Once the user agrees to the schedule, the device sends a request for transportation and accommodation bookings to the server. The server then completes the necessary booking procedures and arranges transportation and accommodation through an external booking system.

[0254] Step 7:

[0255] The server sends the completed reservation information to the device. The device notifies the user that all reservations are complete and that they are ready to engage in their fan activities and sightseeing.

[0256] (Example 1)

[0257] Next, we will describe Example 1. In the following description, the data processing device 12 will be referred to as the "server," and the smart glasses 214 will be referred to as the "terminal."

[0258] In today's world, efficiently planning and executing events and sightseeing activities related to specific celebrities or characters as part of fan activities is often difficult due to the sheer volume and complexity of information. Users find it time-consuming to search and organize necessary information and adjust their schedules. Furthermore, there is a lack of support in areas such as travel and accommodation reservations, so there is a need for a system that allows for smoother planning and enables people to enjoy their activities with peace of mind.

[0259] The identification process performed by the identification processing unit 290 of the data processing device 12 in Example 1 is realized by the following means.

[0260] In this invention, the server includes means for providing a display means for users to input information about celebrities or characters, means for acquiring relevant event and tourist spot information based on the input information, and means for calculating transportation and required stay time in the generated itinerary and optimizing it using a generation AI model. As a result, users can easily acquire relevant event information, automatically create and modify an optimized itinerary, and leave arrangements for transportation and accommodation to the system.

[0261] A "user" refers to a person who uses the system to input information related to a specific celebrity or character and plans events or tourist activities.

[0262] "Display means" refers to a method of providing an interface on a terminal that allows users to input information about famous people or characters.

[0263] "Event" refers to an event or activity related to a specific celebrity or character.

[0264] "Tourist destination information" refers to information about tourist destinations and places that can be visited that are relevant to the user's interests.

[0265] "Schedule" refers to a planned date or schedule that connects events that users wish to participate in with tourist destinations they wish to visit.

[0266] "Means of transportation" refers to the means or methods of transport that users use to travel over a set period of time.

[0267] "Required stay duration" refers to the recommended or necessary length of stay for a user at a particular event or tourist attraction.

[0268] A "generative AI model" refers to artificial intelligence technology used to analyze large amounts of data and automatically plan and optimize the optimal schedule based on user behavior and interests.

[0269] This invention is a system for efficiently planning and executing fan activities and tourism activities related to specific celebrities or characters. Users begin by launching the "Oshi-katsu Concierge App" using their device and entering information about the celebrity or character. The display means functions as an input interface, allowing users to select events and related tags they wish to participate in.

[0270] The terminal sends the information entered by the user to the server. Based on this information, the server dynamically retrieves relevant event and tourist spot information by referencing external information provision services (APIs) and internal databases. Existing geographic information systems such as the Google Maps API are used in this process. The server further optimizes all items, using a generative AI model to generate the optimal itinerary, calculating transportation methods and required stay times.

[0271] The generated schedule is sent from the server to the terminal, which then presents it to the user through a visual interface. This interface includes map display and schedule confirmation functions. The user can review the schedule and make manual modifications as needed.

[0272] For example, if a user wants to attend a concert by a "specific celebrity" and do some sightseeing in the surrounding area, the app will retrieve the latest concert information and suggest transportation options (e.g., train or bus) from the user's current location to the destination. Furthermore, it will also suggest nearby tourist attractions.

[0273] During the booking process, the terminal requests the server to book transportation and accommodation based on the user's confirmed schedule. The server executes this request through the booking system and, after the booking is complete, sends the information to the terminal.

[0274] An example of a prompt is, "Retrieve the latest concert information for a specific celebrity, combine it with information on related tourist destinations, and generate and present a travel plan." Based on this prompt, the generating AI model proposes an appropriate schedule. In this way, users can plan and carry out their fan activities with peace of mind, efficiently, and smoothly.

[0275] The flow of the specific processing in Example 1 will be explained using Figure 11.

[0276] Step 1:

[0277] The user launches the "Oshikatsu Concierge App" on their device. The user interface is displayed, and the user enters the name of a celebrity or character and related activity tags. These tags may include specific events (e.g., "concert") or locations (e.g., "sightseeing"). The device sends this input as data to the server.

[0278] Step 2:

[0279] The server processes the received input data, queries external information providing services (APIs) and internal databases to obtain relevant event and tourist attraction information. Specifically, based on the information of the input celebrity, the server obtains relevant event information, and further obtains tourist attraction information based on the specified activity tags. As data processing, the obtained information is filtered and consistency checked. The obtained results are prepared for the next step.

[0280] Step 3:

[0281] The server utilizes a generative AI model to generate an optimal schedule. In this process, based on the obtained event information and tourist attraction information, AI analyzes to formulate an optimal schedule for the user. It calculates the means of transportation and the required staying time, and creates an overall efficient schedule. The generated schedule is transmitted to the terminal as data.

[0282] Step 4:

[0283] Based on the schedule data received from the server, the terminal presents the schedule to the user through a visual user interface. It provides information to the user clearly through map displays and schedule lists. The output includes the visit order, travel route, and scheduled time. The user can check this information and make corrections if necessary.

[0284] Step 5:

[0285] After the user checks and corrects the schedule, the terminal approves the final schedule and requests the necessary reservations from the server. Specifically, the terminal creates requests for reservations of transportation and accommodation facilities and transmits them to the server.

[0286] Step 6:

[0287] The server executes reservations for transportation and accommodation through the reservation system based on the received reservation request. Using the relevant APIs, it purchases tickets and secures accommodations, and sends the reservation completion information as data to the terminal.

[0288] Step 7:

[0289] The terminal notifies the user based on reservation completion information from the server. The notification includes reservation details, and the user is ultimately ready to enjoy their planned fan activities or sightseeing activities safely and efficiently.

[0290] (Application Example 1)

[0291] Next, we will explain Application Example 1. In the following explanation, the data processing device 12 will be referred to as the "server," and the smart glasses 214 will be referred to as the "terminal."

[0292] Conventional information acquisition systems make it difficult for users to efficiently gather information related to their favorite idol's activities and create optimal travel plans. Furthermore, the process from information acquisition to planning and actual procedures is complex and burdensome for users. A system is needed to solve this problem and support efficient and smooth idol-related activities.

[0293] The specific processing performed by the specific processing unit 290 of the data processing device 12 in Application Example 1 is realized by the following means.

[0294] In this invention, the server includes means for displaying a user interface for users to input information about celebrities or characters by voice, means for generating an optimal travel plan based on the acquired information and presenting it in voice and visual form, and means for managing the necessary transportation and accommodation arrangements based on the approved schedule. This makes it possible for users to easily acquire information related to their favorite idols, create an optimal plan, and manage all necessary procedures in one place.

[0295] A "user interface" is a means for users to directly interact with machines and applications, and it plays a role in bridging the gap between digital devices and humans.

[0296] An "external information provision service" is a third-party service that provides data via the internet or other means, enabling access to obtain specific information.

[0297] A "plan" is the process of developing detailed action plans to achieve a specific objective, and it is a framework for effectively utilizing time and resources.

[0298] "Presenting information aurally and visually" refers to a method of conveying information to users in an easy-to-understand manner using both audio output and graphical displays.

[0299] "Procedure management" is a methodology for efficiently and accurately handling a series of tasks such as reservations and arrangements, and a system for appropriately allocating related resources.

[0300] A "system" is a system designed to perform tasks independently with minimal user intervention, and is a highly responsive technology that possesses efficiency and flexibility.

[0301] This invention aims to support fans' activities related to their favorite celebrities or characters by enabling them to effectively plan and manage activities associated with those celebrities or characters. This system possesses advanced data acquisition and processing capabilities and is implemented as follows:

[0302] First, the user inputs information about a celebrity or character via voice into the user interface through their device. This information is then transmitted by the system to an external information service to retrieve relevant event and tourist destination information. The server uses this retrieved information to generate an optimal travel plan. This plan is presented to the user visually and audibly, allowing them to review it.

[0303] If the plan is approved, the server automatically manages the procedures for the necessary means of transportation and accommodation facilities. This process includes voice recognition using Google Cloud Dialogflow, schedule management using the Google Calendar API, and a hotel reservation system using the Booking.com API.

[0304] As a specific example, when a user wishes to plan "art events" and "local tourism", the server searches for information on the nearest art events, arranges the means of transportation from the user's current location to the destination, and proposes tourist attractions near the destination. All reservation information and proposals obtained in this way are comprehensively provided to the user.

[0305] As an example of a prompt sentence to enable the implementation of this invention, the following can be considered. "Please create the following travel plan. The destination is a local city and you will participate in art events. The components include transportation, accommodation facilities, and places to visit. How would you assemble the optimal schedule?"

[0306] This enables the user to smoothly plan events and tourism that match their interests and quickly and efficiently complete the necessary procedures.

[0307] The flow of specific processing in Application Example 1 will be described using FIG. 12.

[0308] Step 1:

[0309] The terminal receives voice input from the user. Using voice recognition, it accepts the relevant activities that the user wishes to do with famous people or characters, and converts this input data into text. The converted character information becomes the input for the next step.

[0310] Step 2:

[0311] Based on user input, the server retrieves event and tourist information via external information services. The server uses APIs to query necessary databases and collect details of relevant activities. The obtained data, including event names, locations, and dates, is prepared to generate personalized suggestions for the user.

[0312] Step 3:

[0313] Based on the acquired information, the server generates an optimal travel plan that takes into account the user's preferences and time constraints. The server uses a generation AI model to analyze the information and assemble the plan by calculating the travel route, duration of stay, and means of transportation. The generated plan is output as data that is visually displayed on the terminal.

[0314] Step 4:

[0315] The user reviews the proposed travel plan and makes modifications as needed. The device sends these changes to the server, which generates an updated plan. This process incorporates user feedback to create the most satisfying plan.

[0316] Step 5:

[0317] After the plan is approved, the server manages reservations for transportation and accommodation. Specifically, the server uses reservation management APIs such as Booking.com to query and confirm the necessary reservations. Once the reservations are made, the results are returned to the terminal, and the user can perform a final check in a closed loop and confidently begin planning.

[0318] Furthermore, an emotion engine that estimates the user's emotions may be incorporated. That is, the identification processing unit 290 may use the emotion identification model 59 to estimate the user's emotions and perform identification processing using the user's emotions.

[0319] A description of embodiments for carrying out this invention will be given.

[0320] The user launches the "Oshikatsu Concierge" app on their device. This application provides an interface for the user to enter the name of a celebrity or character. In addition, it has an emotion engine that recognizes emotions through the user's input and reactions.

[0321] When a user selects the name of their favorite idol and related activity tags (e.g., "concert," "tourism"), the device sends this information to the server. Based on the received information, the server consults databases and external APIs to gather relevant event and tourist destination information.

[0322] The server analyzes the acquired information and generates an optimal schedule. During this process, an emotion engine determines the user's emotional data, incorporating options and plans tailored to the user's mood. For example, a user who is feeling a little tired might be recommended relaxing tourist destinations or a schedule with ample time.

[0323] The device presents the generated schedule to the user, and the emotion engine monitors the user's response. This monitoring helps evaluate whether the user is satisfied with the schedule.

[0324] Once the user agrees to the schedule, the device requests the server to make reservations for transportation and accommodation. The server then makes these reservations and sends the completed reservation information back to the device.

[0325] For example, if a user is a fan of a "specific celebrity" and the emotion engine detects the user's recent stress, the server will offer relaxation-focused suggestions in addition to typical sightseeing activities (e.g., visiting a hot spring resort or securing a place to relax). In this way, a more personalized fan experience is provided.

[0326] Ultimately, the device notifies the user that all reservations are complete and prepares them to enjoy their fan activities with peace of mind according to the schedule. This approach allows the system to more emotionally support fan activities and increase user satisfaction.

[0327] The following describes the processing flow.

[0328] Step 1:

[0329] The user launches the "Oshi-katsu Concierge" app on their device. The device displays an interface for the user to enter the name of a celebrity or character.

[0330] Step 2:

[0331] The user enters or selects the name of their favorite idol and related activity tags (e.g., "concert," "tourism"). The device sends the entered information and selections to the server.

[0332] Step 3:

[0333] Based on the information received by the server, it uses databases and external APIs to retrieve relevant event information and tourist destination information.

[0334] Step 4:

[0335] The server analyzes the collected information and generates the optimal travel schedule for the user. At this point, the emotion engine monitors the user's emotional data and makes emotionally sensitive adjustments to the schedule.

[0336] Step 5:

[0337] The device presents the generated schedule to the user. The emotion engine emotionally evaluates the user's response and makes further adjustments as needed.

[0338] Step 6:

[0339] If the user agrees to the schedule, the device sends a booking request to the server. This includes booking transportation and accommodation based on the selected schedule.

[0340] Step 7:

[0341] The server executes the necessary reservation procedures and sends the completed reservation information to the terminal. The terminal then notifies the user that the reservation is complete, allowing them to confidently begin their fan activities and sightseeing.

[0342] Step 8:

[0343] The emotion engine continuously monitors user emotions during the trip and when new events are announced, dynamically revising schedules and making new suggestions as needed to further improve satisfaction.

[0344] (Example 2)

[0345] Next, we will describe Example 2. In the following description, the data processing device 12 will be referred to as the "server" and the smart glasses 214 will be referred to as the "terminal".

[0346] In today's information-saturated environment, efficiently acquiring information about what users support and creating individual action plans based on that information is not easy. Furthermore, providing personalized experiences based on users' emotions is also difficult. Therefore, there is a need for methods to improve the value of the user experience.

[0347] The identification process performed by the identification processing unit 290 of the data processing device 12 in Example 2 is realized by the following means.

[0348] In this invention, the server includes means for providing a screen for the user to input information about the object they support, means for dynamically acquiring relevant activity information and destination information using the input information and an emotion engine, and means for generating individually tailored action plans that take emotion data into consideration. This makes it possible for users to easily obtain an optimal action plan that matches their emotions.

[0349] A "user" refers to an individual who uses the system to create an action plan tailored to their interests and preferences.

[0350] "Target of support" refers to any entity, including celebrities and characters, that users are interested in and wish to gather information about or participate in related activities.

[0351] "Providing a screen" refers to the function of displaying an interface that allows users to input information.

[0352] An "emotion engine" refers to an algorithm or program that analyzes user input and past responses to determine the user's emotional state.

[0353] "Dynamic acquisition" refers to the process of collecting necessary data in real time from external sources and utilizing it within the system.

[0354] An "action plan" refers to a plan that includes details of recommended activities and schedules, generated for the user's benefit.

[0355] "Transportation means" refers to the means of transport used by users to travel to their destination.

[0356] "Accommodation facilities" refers to lodging services provided to users.

[0357] "External information acquisition means" refers to methods or devices used to acquire necessary data using external information provision services or APIs.

[0358] This system performs advanced information processing to enable users to create individual action plans. Specifically, elements such as servers, terminals, and emotion engines work together in coordination.

[0359] The user launches the "Oshikatsu Concierge" app using their device. This application provides an interface for the user to input the name of the person or thing they support and associated activity tags. The device then sends the input data to the server.

[0360] The server dynamically acquires necessary event and tourist information using external information acquisition methods based on data received from the user. This is done, for example, using the Google Maps API or other information-providing APIs. The acquired information is stored in a database and used in the next step.

[0361] Next, the server activates its emotion engine to analyze the user's emotional state. Using a generative AI model, it generates the most appropriate action plan based on the emotional data. This plan includes selecting activities and tourist destinations that match the user's emotions. For example, if the user is experiencing high stress levels, a plan emphasizing relaxation will be suggested.

[0362] The generated action plan is sent to the device and presented to the user. User feedback and reactions are also monitored by the emotion engine via the device. Finally, the device, with the help of the server, makes reservations for transportation and accommodation and notifies the user that all arrangements are complete.

[0363] As a concrete example, a user might be a fan of a "specific celebrity" and want to attend a performance by that person. In this case, a possible prompt might be, "I'm a fan of 'specific celebrity' and want to attend a concert. I'm also looking for a place to relax." Based on this, the system provides an experience optimized for the user's emotions and schedule.

[0364] In this way, the system creates a personalized and valuable experience for users, enabling efficient information acquisition and planning.

[0365] The flow of the specific processing in Example 2 will be explained using Figure 13.

[0366] Step 1:

[0367] The user launches the "Oshikatsu Concierge" app on their device. The device displays an interface for the user to enter the name of the person or thing they support and activity tags. The user enters information about a specific celebrity and selects activity tags such as "Concert." This input data will be used in a later step.

[0368] Step 2:

[0369] The terminal sends the user's input information to the server. The server receives the input data and dynamically retrieves relevant event and tourist information using its database and external information retrieval methods. For example, it retrieves tourist information from the Google Maps API. The output of this step is a set of retrieved relevant information.

[0370] Step 3:

[0371] The server analyzes the user's emotional state using an emotion engine based on user input data and acquired information. Using a generative AI model, it generates a personalized action plan tailored to the user's emotions. For example, it might suggest a relaxation-focused schedule for a user experiencing high stress. The output is a personalized action plan.

[0372] Step 4:

[0373] The server sends the generated action plan to the terminal. The terminal presents the plan to the user and collects the user's response. The emotion engine evaluates the response and measures user satisfaction. It is also determined at this step whether the user has reviewed the plan.

[0374] Step 5:

[0375] If the user agrees to the action plan, the terminal requests the server to make reservations for transportation and accommodation. The server then makes the necessary reservations, for example, using a transportation reservation API. At this step, information confirming the completion of the reservations is output.

[0376] Step 6:

[0377] The device notifies the user that all reservations and arrangements are complete. Upon receiving the notification, the user is ready to safely begin their fan activities. The output of this step is a completion notification to the user.

[0378] (Application Example 2)

[0379] Next, we will explain application example 2. In the following explanation, the data processing device 12 will be referred to as the "server," and the smart glasses 214 will be referred to as the "terminal."

[0380] While advancements in information technology have led to a wide variety of fan activity support applications offering diverse functions, there remains a challenge in providing truly personalized services that resonate with users' emotions. In particular, there is a lack of means to make appropriate suggestions based on the user's psychological state, raising concerns about a decline in the quality of the user experience. Furthermore, feedback and rewards for purchase behavior often fail to reflect the user's emotional state, resulting in a lack of increased user satisfaction.

[0381] The specific processing performed by the specific processing unit 290 of the data processing device 12 in Application Example 2 is realized by the following means.

[0382] In this invention, the server includes means for performing emotion analysis and determining the user's psychological state, means for acquiring information on relevant events and tourist destinations based on the input information and the results of the emotion analysis, and means for presenting special offers tailored to the user's emotional state. This makes it possible to provide a personalized experience that responds to the user's emotions.

[0383] A "user" is an individual who uses an application to input information or receive services.

[0384] A "celebrity" is a person who is widely known to the general public and is active in the entertainment industry or various other fields.

[0385] A "virtual character" is a character that does not actually exist but appears in many media.

[0386] An "input / output device" is a digital device equipped with an interface for users to input information or display results.

[0387] "Emotional analysis" is a process of diagnosing a user's psychological state through their input and responses.

[0388] "Psychological state" refers to the user's mental condition, including their current mood and stress level.

[0389] "Events" refer to performances, events, or related activities.

[0390] A "tourist destination" is a geographical or cultural place that is intended for tourists to visit.

[0391] A "travel plan" is a schedule that outlines the places a user will visit, the events they will participate in, their itinerary, and their means of transportation.

[0392] "Transportation means" refers to the vehicles used by users to travel.

[0393] "Accommodation facilities" refer to establishments or services that provide places for users to stay during their travels.

[0394] A "reservation" is the process of securing the date, time, and location for using a service in advance.

[0395] "Special offers" refer to benefits or services provided based on the user's psychological state and purchase history.

[0396] The system for carrying out this invention allows users to use a smartphone or tablet device to input information related to celebrities or virtual characters. The application on the device includes an emotion engine for analyzing the user's emotions, thereby measuring their psychological state. The emotion engine uses the "TensorFlow" library and processes data in real time.

[0397] The server retrieves information about events and tourist destinations via external data provision services based on information and sentiment data received from terminals. During this process, "pandas" is used to format and analyze the data. This ensures that users always receive the most up-to-date information.

[0398] Furthermore, the server considers the results of sentiment analysis to present special offers to users. Generating these special offers involves considering the user's past purchase history and psychological state, and using machine learning libraries such as "scikit-learn" to create optimized offers.

[0399] The travel plan and special offers generated by the server are sent to the user's device for review. After review, reservations for transportation and accommodation are automatically made based on the user's selections.

[0400] As a concrete example, if a user is looking for tickets to a music event and the emotion engine determines that the user is experiencing high stress levels, the server can offer a discount package at a relaxation facility in addition to the usual ticket purchase options. An example of a prompt for this suggestion could be, "What special offers can you offer to a user who is experiencing stress?"

[0401] In this way, the system can provide personalized services that are tailored to the user's emotions and needs, thereby increasing satisfaction.

[0402] The flow of a specific process in Application Example 2 will be explained using Figure 14.

[0403] Step 1:

[0404] The terminal retrieves information about a celebrity or virtual character from the user. The user then inputs the relevant information using the application's input / output device. This information is captured as a prompt.

[0405] Step 2:

[0406] The device uses an emotion engine to analyze the user's current psychological state. It acquires data from the user's facial expressions and voice as input and uses the "TensorFlow" library to diagnose stress levels and mood. The diagnostic results are used for personalization in subsequent steps.

[0407] Step 3:

[0408] The terminal sends the input information and the sentiment analysis results to the server. Based on the received information, the server collects information on events and tourist destinations from external data provision services. Here, "pandas" is used to format and filter the acquired data and select information that is highly relevant to the user.

[0409] Step 4:

[0410] The server generates a travel plan based on all the information. It considers the results of sentiment analysis to determine a suitable time allocation and destinations for the user. An optimization algorithm using "scikit-learn" is employed for plan generation. The output is a detailed travel schedule.

[0411] Step 5:

[0412] The server generates special offers tailored to the user's psychological state. It analyzes the user's past purchase history and current emotional state as input data to generate special offers, such as discounted packages or plans with added benefits.

[0413] Step 6:

[0414] The server sends the travel plan and special offers to the device, which then presents them to the user. The user can review and select the plan on the screen, and the device sends the results back to the server.

[0415] Step 7:

[0416] The server makes reservations for necessary transportation and accommodations based on the final travel plan. After the reservations are complete, the information is sent to the terminal and notified to the user. The reservation information is then displayed on the terminal as a confirmation screen, ensuring the user's peace of mind.

[0417] 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.

[0418] Data generation model 58 is a type of so-called generative AI (Artificial Intelligence). One example of data generation model 58 is ChatGPT (Internet search<URL: https: / / openai.com / blog / chatgpt> ), Gemini (Internet search) <url: https: gemini.google.com ?hl="ja">Examples of generative AI include the following. The data generation model 58 is obtained by performing deep learning on a neural network. The data generation model 58 is input with prompts containing instructions, and with inference data such as audio data representing speech, text data representing text, and image data representing images. The data generation model 58 infers from the input inference data according to the instructions indicated by the prompts, and outputs the inference results in data formats such as audio data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization.

[0419] In the above embodiment, an example was given in which specific processing is performed by the data processing device 12, but the technology of this disclosure is not limited thereto, and the specific processing may also be performed by the smart glasses 214.

[0420] [Third Embodiment]

[0421] Figure 5 shows an example of the configuration of the data processing system 310 according to the third embodiment.

[0422] 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.

[0423] The data processing device 12 comprises a computer 22, a database 24, and a communication interface 26. The computer 22 is an example of a "computer" related to the technology of this disclosure. The computer 22 comprises a processor 28, RAM 30, and storage 32. The processor 28, RAM 30, and storage 32 are connected to a bus 34. The database 24 and the communication interface 26 are also connected to the bus 34. The communication interface 26 is connected to a network 54. An example of the network 54 is a WAN (Wide Area Network) and / or a LAN (Local Area Network).

[0424] 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.

[0425] The microphone 238 receives voice signals from the user 20 and receives instructions from the user 20. The microphone 238 captures the voice signals from the user 20, converts the captured voice into audio data, and outputs it to the processor 46. The speaker 240 outputs audio according to the instructions from the processor 46.

[0426] Camera 42 is a small digital camera equipped with an optical system including a lens, aperture, and shutter, and an image sensor such as a CMOS (Complementary Metal-Oxide-Semiconductor) image sensor or a CCD (Charge Coupled Device) image sensor, and captures images of the area around the user 20 (for example, an imaging range defined by a field of view equivalent to the width of a typical healthy person's field of vision).

[0427] 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.

[0428] 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.

[0429] The specific processing program 56 is an example of a "program" relating to the technology of this disclosure. The processor 28 reads the specific processing program 56 from the storage 32 and executes the read specific processing program 56 on the RAM 30. The specific processing is realized by the processor 28 operating as a specific processing unit 290 in accordance with the specific processing program 56 executed on the RAM 30.

[0430] The storage 32 stores the data generation model 58 and the emotion identification model 59. The data generation model 58 and the emotion identification model 59 are used by the identification processing unit 290.

[0431] In the headset terminal 314, the processor 46 performs the reception output processing. The storage 50 stores the reception output program 60. The processor 46 reads the reception output program 60 from the storage 50 and executes the read reception output program 60 on the RAM 48. The reception output processing is realized by the processor 46 operating as a control unit 46A according to the reception output program 60 executed on the RAM 48.

[0432] Next, the specific processing performed by the specific processing unit 290 of the data processing device 12 will be described. In the following description, the data processing device 12 will be referred to as the "server" and the headset terminal 314 will be referred to as the "terminal".

[0433] A description of embodiments for carrying out this invention will be given.

[0434] The user launches the "Oshi-katsu Concierge" app on their device. This app provides a user interface for the user to enter the name of a celebrity or character. The user uses this interface to select information about their favorite celebrity or character and tags indicating related activities (e.g., "Concert," "Sightseeing," etc.).

[0435] The terminal sends information entered by the user to the server. Based on the received information, the server retrieves event information and tourist destination information tailored to the user's interests by referring to databases and external APIs.

[0436] The server analyzes relevant information and generates an optimal schedule. The schedule includes the user's travel route, destinations, and required duration of stay. The server sends the generated schedule to the terminal, which then presents it to the user in a visually easy-to-understand format.

[0437] After the user reviews and modifies the presented schedule, they perform a final confirmation. If confirmed, the terminal requests the server to book transportation and accommodation. The server then makes the necessary reservations through the reservation system and sends the reservation completion information to the terminal.

[0438] The device notifies the user that the reservation is complete and provides them with complete information to support comprehensive fan and tourism activities.

[0439] For example, if a user wants to attend a concert and sightsee for a "specific celebrity," the app will retrieve the latest concert information, suggest transportation options from the user's current location to the destination, and propose nearby tourist attractions. Furthermore, these details are incorporated into a daily itinerary, such as travel schedules and planned visits, and presented to the user. Once the booking is complete, the user can enjoy their planned fan activities with peace of mind.

[0440] The following describes the processing flow.

[0441] Step 1:

[0442] The user launches the "Oshi-katsu Concierge" app on their device. The device displays an interface for the user to enter the name of a celebrity or character.

[0443] Step 2:

[0444] The user selects the name of their favorite idol and tags related to their activities (e.g., "concert," "tourism"). The device then sends the entered information to the server.

[0445] Step 3:

[0446] Based on the information received by the server, it retrieves relevant event and tourist information by referencing databases and external APIs. Specifically, it collects the latest event schedules related to a particular celebrity and tourist attractions near the event locations.

[0447] Step 4:

[0448] The server analyzes the acquired information and generates an optimal schedule. This schedule incorporates event dates, planned tourist destinations, travel times, and routes.

[0449] Step 5:

[0450] The server generates a schedule and sends it to the terminal. The terminal then presents the schedule to the user in a visually easy-to-understand format. The user reviews the presented information and makes any necessary corrections.

[0451] Step 6:

[0452] Once the user agrees to the schedule, the device sends a request for transportation and accommodation bookings to the server. The server then completes the necessary booking procedures and arranges transportation and accommodation through an external booking system.

[0453] Step 7:

[0454] The server sends the completed reservation information to the device. The device notifies the user that all reservations are complete and that they are ready to engage in their fan activities and sightseeing.

[0455] (Example 1)

[0456] Next, we will describe Example 1. In the following description, the data processing device 12 will be referred to as the "server," and the headset-type terminal 314 will be referred to as the "terminal."

[0457] In today's world, efficiently planning and executing events and sightseeing activities related to specific celebrities or characters as part of fan activities is often difficult due to the sheer volume and complexity of information. Users find it time-consuming to search and organize necessary information and adjust their schedules. Furthermore, there is a lack of support in areas such as travel and accommodation reservations, so there is a need for a system that allows for smoother planning and enables people to enjoy their activities with peace of mind.

[0458] The identification process performed by the identification processing unit 290 of the data processing device 12 in Example 1 is realized by the following means.

[0459] In this invention, the server includes means for providing a display means for users to input information about celebrities or characters, means for acquiring relevant event and tourist spot information based on the input information, and means for calculating transportation and required stay time in the generated itinerary and optimizing it using a generation AI model. As a result, users can easily acquire relevant event information, automatically create and modify an optimized itinerary, and leave arrangements for transportation and accommodation to the system.

[0460] A "user" refers to a person who uses the system to input information related to a specific celebrity or character and plans events or tourist activities.

[0461] "Display means" refers to a method of providing an interface on a terminal that allows users to input information about famous people or characters.

[0462] "Event" refers to an event or activity related to a specific celebrity or character.

[0463] "Tourist destination information" refers to information about tourist destinations and places that can be visited that are relevant to the user's interests.

[0464] "Schedule" refers to a planned date or schedule that connects events that users wish to participate in with tourist destinations they wish to visit.

[0465] "Means of transportation" refers to the means or methods of transport that users use to travel over a set period of time.

[0466] "Required stay duration" refers to the recommended or necessary length of stay for a user at a particular event or tourist attraction.

[0467] A "generative AI model" refers to artificial intelligence technology used to analyze large amounts of data and automatically plan and optimize the optimal schedule based on user behavior and interests.

[0468] This invention is a system for efficiently planning and executing fan activities and tourism activities related to specific celebrities or characters. Users begin by launching the "Oshi-katsu Concierge App" using their device and entering information about the celebrity or character. The display means functions as an input interface, allowing users to select events and related tags they wish to participate in.

[0469] The terminal sends the information entered by the user to the server. Based on this information, the server dynamically retrieves relevant event and tourist spot information by referencing external information provision services (APIs) and internal databases. Existing geographic information systems such as the Google Maps API are used in this process. The server further optimizes all items, using a generative AI model to generate the optimal itinerary, calculating transportation methods and required stay times.

[0470] The generated schedule is sent from the server to the terminal, which then presents it to the user through a visual interface. This interface includes map display and schedule confirmation functions. The user can review the schedule and make manual modifications as needed.

[0471] For example, if a user wants to attend a concert by a "specific celebrity" and do some sightseeing in the surrounding area, the app will retrieve the latest concert information and suggest transportation options (e.g., train or bus) from the user's current location to the destination. Furthermore, it will also suggest nearby tourist attractions.

[0472] During the booking process, the terminal requests the server to book transportation and accommodation based on the user's confirmed schedule. The server executes this request through the booking system and, after the booking is complete, sends the information to the terminal.

[0473] An example of a prompt is, "Retrieve the latest concert information for a specific celebrity, combine it with information on related tourist destinations, and generate and present a travel plan." Based on this prompt, the generating AI model proposes an appropriate schedule. In this way, users can plan and carry out their fan activities with peace of mind, efficiently, and smoothly.

[0474] The flow of the specific processing in Example 1 will be explained using Figure 11.

[0475] Step 1:

[0476] The user launches the "Oshikatsu Concierge App" on their device. The user interface is displayed, and the user enters the name of a celebrity or character and related activity tags. These tags may include specific events (e.g., "concert") or locations (e.g., "sightseeing"). The device sends this input as data to the server.

[0477] Step 2:

[0478] The server processes the received input data and queries external information provision services (APIs) and internal databases to retrieve relevant event and tourist destination information. Specifically, the server retrieves relevant event information based on the entered celebrity information and tourist destination information based on specified activity tags. As part of data processing, the retrieved information is filtered and consistency checked. The retrieved results are then prepared for the next step.

[0479] Step 3:

[0480] The server uses a generative AI model to generate the optimal itinerary. In this process, the AI ​​analyzes acquired event information and tourist spot information to formulate the best itinerary for the user. It calculates transportation methods and required stay times to create an overall efficient schedule. The generated itinerary is sent to the terminal as data.

[0481] Step 4:

[0482] The terminal presents the schedule to the user through a visual user interface based on schedule data received from the server. Information is provided to the user in an easy-to-understand manner through map displays and schedule lists. The output includes the order of visits, travel route, and scheduled times. The user can review this information and make corrections if necessary.

[0483] Step 5:

[0484] After the user reviews and modifies their itinerary, they approve the final itinerary on their device and request necessary reservations from the server. Specifically, the device creates requests for transportation and accommodation reservations and sends them to the server.

[0485] Step 6:

[0486] The server executes reservations for transportation and accommodation through the reservation system based on the received reservation request. Using the relevant APIs, it purchases tickets and secures accommodations, and sends the reservation completion information as data to the terminal.

[0487] Step 7:

[0488] The terminal notifies the user based on reservation completion information from the server. The notification includes reservation details, and the user is ultimately ready to enjoy their planned fan activities or sightseeing activities safely and efficiently.

[0489] (Application Example 1)

[0490] Next, we will explain Application Example 1. In the following explanation, the data processing device 12 will be referred to as the "server," and the headset-type terminal 314 will be referred to as the "terminal."

[0491] Conventional information acquisition systems make it difficult for users to efficiently gather information related to their favorite idol's activities and create optimal travel plans. Furthermore, the process from information acquisition to planning and actual procedures is complex and burdensome for users. A system is needed to solve this problem and support efficient and smooth idol-related activities.

[0492] The specific processing performed by the specific processing unit 290 of the data processing device 12 in Application Example 1 is realized by the following means.

[0493] In this invention, the server includes means for displaying a user interface for users to input information about celebrities or characters by voice, means for generating an optimal travel plan based on the acquired information and presenting it in voice and visual form, and means for managing the necessary transportation and accommodation arrangements based on the approved schedule. This makes it possible for users to easily acquire information related to their favorite idols, create an optimal plan, and manage all necessary procedures in one place.

[0494] A "user interface" is a means for users to directly interact with machines and applications, and it plays a role in bridging the gap between digital devices and humans.

[0495] An "external information provision service" is a third-party service that provides data via the internet or other means, enabling access to obtain specific information.

[0496] A "plan" is the process of developing detailed action plans to achieve a specific objective, and it is a framework for effectively utilizing time and resources.

[0497] "Presenting information aurally and visually" refers to a method of conveying information to users in an easy-to-understand manner using both audio output and graphical displays.

[0498] "Procedure management" is a methodology for efficiently and accurately handling a series of tasks such as reservations and arrangements, and a system for appropriately allocating related resources.

[0499] A "system" is a system designed to perform tasks independently with minimal user intervention, and is a highly responsive technology that possesses efficiency and flexibility.

[0500] This invention aims to support fans' activities related to their favorite celebrities or characters by enabling them to effectively plan and manage activities associated with those celebrities or characters. This system possesses advanced data acquisition and processing capabilities and is implemented as follows:

[0501] First, the user inputs information about a celebrity or character via voice into the user interface through their device. This information is then transmitted by the system to an external information service to retrieve relevant event and tourist destination information. The server uses this retrieved information to generate an optimal travel plan. This plan is presented to the user visually and audibly, allowing them to review it.

[0502] If the plan is approved, the server will automatically handle the necessary transportation and accommodation arrangements. This process includes speech recognition using Google Cloud Dialogflow, scheduling using the Google Calendar API, and a hotel reservation system using the Booking.com API.

[0503] For example, if a user wants to plan an "art event" and "local sightseeing," the server will find information on the nearest art event, coordinate transportation from the user's current location to the destination, and suggest nearby tourist attractions. All of this booking information and suggestions are provided comprehensively to the user.

[0504] An example of a prompt message to enable the implementation of this invention is as follows: "Please create your next travel plan. The destination is a local city, and you will attend an art event. Components include transportation, accommodation, and places to visit. How would you put together the optimal schedule?"

[0505] This allows users to easily plan events and sightseeing trips that suit their interests and complete the necessary procedures quickly and efficiently.

[0506] The flow of a specific process in Application Example 1 will be explained using Figure 12.

[0507] Step 1:

[0508] The device receives voice input from the user. Using speech recognition, it receives the user's desired celebrity or character and related activities, and converts this input data into text. The converted text information becomes the input for the next step.

[0509] Step 2:

[0510] Based on user input, the server retrieves event and tourist information via external information services. The server uses APIs to query necessary databases and collect details of relevant activities. The obtained data, including event names, locations, and dates, is prepared to generate personalized suggestions for the user.

[0511] Step 3:

[0512] Based on the acquired information, the server generates an optimal travel plan that takes into account the user's preferences and time constraints. The server uses a generation AI model to analyze the information and assemble the plan by calculating the travel route, duration of stay, and means of transportation. The generated plan is output as data that is visually displayed on the terminal.

[0513] Step 4:

[0514] The user reviews the proposed travel plan and makes modifications as needed. The device sends these changes to the server, which generates an updated plan. This process incorporates user feedback to create the most satisfying plan.

[0515] Step 5:

[0516] After the plan is approved, the server manages reservations for transportation and accommodation. Specifically, the server uses reservation management APIs such as Booking.com to query and confirm the necessary reservations. Once the reservations are made, the results are returned to the terminal, and the user can perform a final check in a closed loop and confidently begin planning.

[0517] Furthermore, an emotion engine that estimates the user's emotions may be incorporated. That is, the identification processing unit 290 may use the emotion identification model 59 to estimate the user's emotions and perform identification processing using the user's emotions.

[0518] A description of embodiments for carrying out this invention will be given.

[0519] The user launches the "Oshikatsu Concierge" app on their device. This application provides an interface for the user to enter the name of a celebrity or character. In addition, it has an emotion engine that recognizes emotions through the user's input and reactions.

[0520] When a user selects the name of their favorite idol and related activity tags (e.g., "concert," "tourism"), the device sends this information to the server. Based on the received information, the server consults databases and external APIs to gather relevant event and tourist destination information.

[0521] The server analyzes the acquired information and generates an optimal schedule. During this process, an emotion engine determines the user's emotional data, incorporating options and plans tailored to the user's mood. For example, a user who is feeling a little tired might be recommended relaxing tourist destinations or a schedule with ample time.

[0522] The device presents the generated schedule to the user, and the emotion engine monitors the user's response. This monitoring helps evaluate whether the user is satisfied with the schedule.

[0523] Once the user agrees to the schedule, the device requests the server to make reservations for transportation and accommodation. The server then makes these reservations and sends the completed reservation information back to the device.

[0524] For example, if a user is a fan of a "specific celebrity" and the emotion engine detects the user's recent stress, the server will offer relaxation-focused suggestions in addition to typical sightseeing activities (e.g., visiting a hot spring resort or securing a place to relax). In this way, a more personalized fan experience is provided.

[0525] Ultimately, the device notifies the user that all reservations are complete and prepares them to enjoy their fan activities with peace of mind according to the schedule. This approach allows the system to more emotionally support fan activities and increase user satisfaction.

[0526] The following describes the processing flow.

[0527] Step 1:

[0528] The user launches the "Oshi-katsu Concierge" app on their device. The device displays an interface for the user to enter the name of a celebrity or character.

[0529] Step 2:

[0530] The user enters or selects the name of their favorite idol and related activity tags (e.g., "concert," "tourism"). The device sends the entered information and selections to the server.

[0531] Step 3:

[0532] Based on the information received by the server, it uses databases and external APIs to retrieve relevant event information and tourist destination information.

[0533] Step 4:

[0534] The server analyzes the collected information and generates the optimal travel schedule for the user. At this point, the emotion engine monitors the user's emotional data and makes emotionally sensitive adjustments to the schedule.

[0535] Step 5:

[0536] The device presents the generated schedule to the user. The emotion engine emotionally evaluates the user's response and makes further adjustments as needed.

[0537] Step 6:

[0538] If the user agrees to the schedule, the device sends a booking request to the server. This includes booking transportation and accommodation based on the selected schedule.

[0539] Step 7:

[0540] The server executes the necessary reservation procedures and sends the completed reservation information to the terminal. The terminal then notifies the user that the reservation is complete, allowing them to confidently begin their fan activities and sightseeing.

[0541] Step 8:

[0542] The emotion engine continuously monitors user emotions during the trip and when new events are announced, dynamically revising schedules and making new suggestions as needed to further improve satisfaction.

[0543] (Example 2)

[0544] Next, we will describe Example 2. In the following description, the data processing device 12 will be referred to as the "server," and the headset-type terminal 314 will be referred to as the "terminal."

[0545] In today's information-saturated environment, efficiently acquiring information about what users support and creating individual action plans based on that information is not easy. Furthermore, providing personalized experiences based on users' emotions is also difficult. Therefore, there is a need for methods to improve the value of the user experience.

[0546] The identification process performed by the identification processing unit 290 of the data processing device 12 in Example 2 is realized by the following means.

[0547] In this invention, the server includes means for providing a screen for the user to input information about the object they support, means for dynamically acquiring relevant activity information and destination information using the input information and an emotion engine, and means for generating individually tailored action plans that take emotion data into consideration. This makes it possible for users to easily obtain an optimal action plan that matches their emotions.

[0548] A "user" refers to an individual who uses the system to create an action plan tailored to their interests and preferences.

[0549] "Target of support" refers to any entity, including celebrities and characters, that users are interested in and wish to gather information about or participate in related activities.

[0550] "Providing a screen" refers to the function of displaying an interface that allows users to input information.

[0551] An "emotion engine" refers to an algorithm or program that analyzes user input and past responses to determine the user's emotional state.

[0552] "Dynamic acquisition" refers to the process of collecting necessary data in real time from external sources and utilizing it within the system.

[0553] An "action plan" refers to a plan that includes details of recommended activities and schedules, generated for the user's benefit.

[0554] "Transportation means" refers to the means of transport used by users to travel to their destination.

[0555] "Accommodation facilities" refers to lodging services provided to users.

[0556] "External information acquisition means" refers to methods or devices used to acquire necessary data using external information provision services or APIs.

[0557] This system performs advanced information processing to enable users to create individual action plans. Specifically, elements such as servers, terminals, and emotion engines work together in coordination.

[0558] The user launches the "Oshikatsu Concierge" app using their device. This application provides an interface for the user to input the name of the person or thing they support and associated activity tags. The device then sends the input data to the server.

[0559] The server dynamically acquires necessary event and tourist information using external information acquisition methods based on data received from the user. This is done, for example, using the Google Maps API or other information-providing APIs. The acquired information is stored in a database and used in the next step.

[0560] Next, the server activates its emotion engine to analyze the user's emotional state. Using a generative AI model, it generates the most appropriate action plan based on the emotional data. This plan includes selecting activities and tourist destinations that match the user's emotions. For example, if the user is experiencing high stress levels, a plan emphasizing relaxation will be suggested.

[0561] The generated action plan is sent to the device and presented to the user. User feedback and reactions are also monitored by the emotion engine via the device. Finally, the device, with the help of the server, makes reservations for transportation and accommodation and notifies the user that all arrangements are complete.

[0562] As a concrete example, a user might be a fan of a "specific celebrity" and want to attend a performance by that person. In this case, a possible prompt might be, "I'm a fan of 'specific celebrity' and want to attend a concert. I'm also looking for a place to relax." Based on this, the system provides an experience optimized for the user's emotions and schedule.

[0563] In this way, the system creates a personalized and valuable experience for users, enabling efficient information acquisition and planning.

[0564] The flow of the specific processing in Example 2 will be explained using Figure 13.

[0565] Step 1:

[0566] The user launches the "Oshikatsu Concierge" app on their device. The device displays an interface for the user to enter the name of the person or thing they support and activity tags. The user enters information about a specific celebrity and selects activity tags such as "Concert." This input data will be used in a later step.

[0567] Step 2:

[0568] The terminal sends the user's input information to the server. The server receives the input data and dynamically retrieves relevant event and tourist information using its database and external information retrieval methods. For example, it retrieves tourist information from the Google Maps API. The output of this step is a set of retrieved relevant information.

[0569] Step 3:

[0570] The server analyzes the user's emotional state using an emotion engine based on user input data and acquired information. Using a generative AI model, it generates a personalized action plan tailored to the user's emotions. For example, it might suggest a relaxation-focused schedule for a user experiencing high stress. The output is a personalized action plan.

[0571] Step 4:

[0572] The server sends the generated action plan to the terminal. The terminal presents the plan to the user and collects the user's response. The emotion engine evaluates the response and measures user satisfaction. It is also determined at this step whether the user has reviewed the plan.

[0573] Step 5:

[0574] If the user agrees to the action plan, the terminal requests the server to make reservations for transportation and accommodation. The server then makes the necessary reservations, for example, using a transportation reservation API. At this step, information confirming the completion of the reservations is output.

[0575] Step 6:

[0576] The device notifies the user that all reservations and arrangements are complete. Upon receiving the notification, the user is ready to safely begin their fan activities. The output of this step is a completion notification to the user.

[0577] (Application Example 2)

[0578] Next, we will explain application example 2. In the following explanation, the data processing device 12 will be referred to as the "server," and the headset-type terminal 314 will be referred to as the "terminal."

[0579] While advancements in information technology have led to a wide variety of fan activity support applications offering diverse functions, there remains a challenge in providing truly personalized services that resonate with users' emotions. In particular, there is a lack of means to make appropriate suggestions based on the user's psychological state, raising concerns about a decline in the quality of the user experience. Furthermore, feedback and rewards for purchase behavior often fail to reflect the user's emotional state, resulting in a lack of increased user satisfaction.

[0580] The specific processing performed by the specific processing unit 290 of the data processing device 12 in Application Example 2 is realized by the following means.

[0581] In this invention, the server includes means for performing emotion analysis and determining the user's psychological state, means for acquiring information on relevant events and tourist destinations based on the input information and the results of the emotion analysis, and means for presenting special offers tailored to the user's emotional state. This makes it possible to provide a personalized experience that responds to the user's emotions.

[0582] A "user" is an individual who uses an application to input information or receive services.

[0583] A "celebrity" is a person who is widely known to the general public and is active in the entertainment industry or various other fields.

[0584] A "virtual character" is a character that does not actually exist but appears in many media.

[0585] An "input / output device" is a digital device equipped with an interface for users to input information or display results.

[0586] "Emotional analysis" is a process of diagnosing a user's psychological state through their input and responses.

[0587] "Psychological state" refers to the user's mental condition, including their current mood and stress level.

[0588] "Events" refer to performances, events, or related activities.

[0589] A "tourist destination" is a geographical or cultural place that is intended for tourists to visit.

[0590] A "travel plan" is a schedule that outlines the places a user will visit, the events they will participate in, their itinerary, and their means of transportation.

[0591] "Transportation means" refers to the vehicles used by users to travel.

[0592] "Accommodation facilities" refer to establishments or services that provide places for users to stay during their travels.

[0593] A "reservation" is the process of securing the date, time, and location for using a service in advance.

[0594] "Special offers" refer to benefits or services provided based on the user's psychological state and purchase history.

[0595] The system for carrying out this invention allows users to use a smartphone or tablet device to input information related to celebrities or virtual characters. The application on the device includes an emotion engine for analyzing the user's emotions, thereby measuring their psychological state. The emotion engine uses the "TensorFlow" library and processes data in real time.

[0596] The server retrieves information about events and tourist destinations via external data provision services based on information and sentiment data received from terminals. During this process, "pandas" is used to format and analyze the data. This ensures that users always receive the most up-to-date information.

[0597] Furthermore, the server considers the results of sentiment analysis to present special offers to users. Generating these special offers involves considering the user's past purchase history and psychological state, and using machine learning libraries such as "scikit-learn" to create optimized offers.

[0598] The travel plan and special offers generated by the server are sent to the user's device for review. After review, reservations for transportation and accommodation are automatically made based on the user's selections.

[0599] As a concrete example, if a user is looking for tickets to a music event and the emotion engine determines that the user is experiencing high stress levels, the server can offer a discount package at a relaxation facility in addition to the usual ticket purchase options. An example of a prompt for this suggestion could be, "What special offers can you offer to a user who is experiencing stress?"

[0600] In this way, the system can provide personalized services that are tailored to the user's emotions and needs, thereby increasing satisfaction.

[0601] The flow of a specific process in Application Example 2 will be explained using Figure 14.

[0602] Step 1:

[0603] The terminal retrieves information about a celebrity or virtual character from the user. The user then inputs the relevant information using the application's input / output device. This information is captured as a prompt.

[0604] Step 2:

[0605] The device uses an emotion engine to analyze the user's current psychological state. It acquires data from the user's facial expressions and voice as input and uses the "TensorFlow" library to diagnose stress levels and mood. The diagnostic results are used for personalization in subsequent steps.

[0606] Step 3:

[0607] The terminal sends the input information and the sentiment analysis results to the server. Based on the received information, the server collects information on events and tourist destinations from external data provision services. Here, "pandas" is used to format and filter the acquired data and select information that is highly relevant to the user.

[0608] Step 4:

[0609] The server generates a travel plan based on all the information. It considers the results of sentiment analysis to determine a suitable time allocation and destinations for the user. An optimization algorithm using "scikit-learn" is employed for plan generation. The output is a detailed travel schedule.

[0610] Step 5:

[0611] The server generates special offers tailored to the user's psychological state. It analyzes the user's past purchase history and current emotional state as input data to generate special offers, such as discounted packages or plans with added benefits.

[0612] Step 6:

[0613] The server sends the travel plan and special offers to the device, which then presents them to the user. The user can review and select the plan on the screen, and the device sends the results back to the server.

[0614] Step 7:

[0615] The server makes reservations for necessary transportation and accommodations based on the final travel plan. After the reservations are complete, the information is sent to the terminal and notified to the user. The reservation information is then displayed on the terminal as a confirmation screen, ensuring the user's peace of mind.

[0616] 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.

[0617] Data generation model 58 is a type of so-called generative AI (Artificial Intelligence). One example of data generation model 58 is ChatGPT (Internet search<URL: https: / / openai.com / blog / chatgpt> ), Gemini (Internet search) <url: https: gemini.google.com ?hl="ja">Examples of generative AI include the following. The data generation model 58 is obtained by performing deep learning on a neural network. The data generation model 58 is input with prompts containing instructions, and with inference data such as audio data representing speech, text data representing text, and image data representing images. The data generation model 58 infers from the input inference data according to the instructions indicated by the prompts, and outputs the inference results in data formats such as audio data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization.

[0618] In the above embodiment, an example was given in which specific processing is performed by the data processing device 12, but the technology of this disclosure is not limited thereto, and specific processing may also be performed by the headset terminal 314.

[0619] [Fourth Embodiment]

[0620] Figure 7 shows an example of the configuration of the data processing system 410 according to the fourth embodiment.

[0621] 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.

[0622] The data processing device 12 comprises a computer 22, a database 24, and a communication interface 26. The computer 22 is an example of a "computer" related to the technology of this disclosure. The computer 22 comprises a processor 28, RAM 30, and storage 32. The processor 28, RAM 30, and storage 32 are connected to a bus 34. The database 24 and the communication interface 26 are also connected to the bus 34. The communication interface 26 is connected to a network 54. An example of the network 54 is a WAN (Wide Area Network) and / or a LAN (Local Area Network).

[0623] 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.

[0624] The microphone 238 receives voice signals from the user 20 and receives instructions from the user 20. The microphone 238 captures the voice signals from the user 20, converts the captured voice into audio data, and outputs it to the processor 46. The speaker 240 outputs audio according to the instructions from the processor 46.

[0625] Camera 42 is a small digital camera equipped with an optical system including a lens, aperture, and shutter, and an image sensor such as a CMOS (Complementary Metal-Oxide-Semiconductor) image sensor or a CCD (Charge Coupled Device) image sensor, and captures images of the area around the user 20 (for example, an imaging range defined by a field of view equivalent to the width of a typical healthy person's field of vision).

[0626] 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.

[0627] The controlled object 443 includes a display device, LEDs in the eyes, and motors that drive the arms, hands, and feet. The posture and gestures of the robot 414 are controlled by controlling the motors of the arms, hands, and feet. Some of the robot 414's emotions can be expressed by controlling these motors. Furthermore, the robot 414's facial expressions can also be expressed by controlling the illumination state of the LEDs in its eyes.

[0628] 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.

[0629] The specific processing program 56 is an example of a "program" relating to the technology of this disclosure. The processor 28 reads the specific processing program 56 from the storage 32 and executes the read specific processing program 56 on the RAM 30. The specific processing is realized by the processor 28 operating as a specific processing unit 290 in accordance with the specific processing program 56 executed on the RAM 30.

[0630] The storage 32 stores the data generation model 58 and the emotion identification model 59. The data generation model 58 and the emotion identification model 59 are used by the identification processing unit 290.

[0631] In robot 414, the processor 46 performs the reception output processing. The storage 50 stores the reception output program 60. The processor 46 reads the reception output program 60 from the storage 50 and executes the read reception output program 60 on the RAM 48. The reception output processing is realized by the processor 46 operating as a control unit 46A according to the reception output program 60 executed on the RAM 48.

[0632] Next, the specific processing performed by the specific processing unit 290 of the data processing device 12 will be described. In the following description, the data processing device 12 will be referred to as the "server" and the robot 414 as the "terminal".

[0633] A description of embodiments for carrying out this invention will be given.

[0634] The user launches the "Oshi-katsu Concierge" app on their device. This app provides a user interface for the user to enter the name of a celebrity or character. The user uses this interface to select information about their favorite celebrity or character and tags indicating related activities (e.g., "Concert," "Sightseeing," etc.).

[0635] The terminal sends information entered by the user to the server. Based on the received information, the server retrieves event information and tourist destination information tailored to the user's interests by referring to databases and external APIs.

[0636] The server analyzes relevant information and generates an optimal schedule. The schedule includes the user's travel route, destinations, and required duration of stay. The server sends the generated schedule to the terminal, which then presents it to the user in a visually easy-to-understand format.

[0637] After the user reviews and modifies the presented schedule, they perform a final confirmation. If confirmed, the terminal requests the server to book transportation and accommodation. The server then makes the necessary reservations through the reservation system and sends the reservation completion information to the terminal.

[0638] The device notifies the user that the reservation is complete and provides them with complete information to support comprehensive fan and tourism activities.

[0639] For example, if a user wants to attend a concert and sightsee for a "specific celebrity," the app will retrieve the latest concert information, suggest transportation options from the user's current location to the destination, and propose nearby tourist attractions. Furthermore, these details are incorporated into a daily itinerary, such as travel schedules and planned visits, and presented to the user. Once the booking is complete, the user can enjoy their planned fan activities with peace of mind.

[0640] The following describes the processing flow.

[0641] Step 1:

[0642] The user launches the "Oshi-katsu Concierge" app on their device. The device displays an interface for the user to enter the name of a celebrity or character.

[0643] Step 2:

[0644] The user selects the name of their favorite idol and tags related to their activities (e.g., "concert," "tourism"). The device then sends the entered information to the server.

[0645] Step 3:

[0646] Based on the information received by the server, it retrieves relevant event and tourist information by referencing databases and external APIs. Specifically, it collects the latest event schedules related to a particular celebrity and tourist attractions near the event locations.

[0647] Step 4:

[0648] The server analyzes the acquired information and generates an optimal schedule. This schedule incorporates event dates, planned tourist destinations, travel times, and routes.

[0649] Step 5:

[0650] The server generates a schedule and sends it to the terminal. The terminal then presents the schedule to the user in a visually easy-to-understand format. The user reviews the presented information and makes any necessary corrections.

[0651] Step 6:

[0652] Once the user agrees to the schedule, the device sends a request for transportation and accommodation bookings to the server. The server then completes the necessary booking procedures and arranges transportation and accommodation through an external booking system.

[0653] Step 7:

[0654] The server sends the completed reservation information to the device. The device notifies the user that all reservations are complete and that they are ready to engage in their fan activities and sightseeing.

[0655] (Example 1)

[0656] Next, we will describe Example 1. In the following description, the data processing device 12 will be referred to as the "server" and the robot 414 as the "terminal".

[0657] In today's world, efficiently planning and executing events and sightseeing activities related to specific celebrities or characters as part of fan activities is often difficult due to the sheer volume and complexity of information. Users find it time-consuming to search and organize necessary information and adjust their schedules. Furthermore, there is a lack of support in areas such as travel and accommodation reservations, so there is a need for a system that allows for smoother planning and enables people to enjoy their activities with peace of mind.

[0658] The identification process performed by the identification processing unit 290 of the data processing device 12 in Example 1 is realized by the following means.

[0659] In this invention, the server includes means for providing a display means for users to input information about celebrities or characters, means for acquiring relevant event and tourist spot information based on the input information, and means for calculating transportation and required stay time in the generated itinerary and optimizing it using a generation AI model. As a result, users can easily acquire relevant event information, automatically create and modify an optimized itinerary, and leave arrangements for transportation and accommodation to the system.

[0660] A "user" refers to a person who uses the system to input information related to a specific celebrity or character and plans events or tourist activities.

[0661] "Display means" refers to a method of providing an interface on a terminal that allows users to input information about famous people or characters.

[0662] "Event" refers to an event or activity related to a specific celebrity or character.

[0663] "Tourist destination information" refers to information about tourist destinations and places that can be visited that are relevant to the user's interests.

[0664] "Schedule" refers to a planned date or schedule that connects events that users wish to participate in with tourist destinations they wish to visit.

[0665] "Means of transportation" refers to the means or methods of transport that users use to travel over a set period of time.

[0666] "Required stay duration" refers to the recommended or necessary length of stay for a user at a particular event or tourist attraction.

[0667] A "generative AI model" refers to artificial intelligence technology used to analyze large amounts of data and automatically plan and optimize the optimal schedule based on user behavior and interests.

[0668] This invention is a system for efficiently planning and executing fan activities and tourism activities related to specific celebrities or characters. Users begin by launching the "Oshi-katsu Concierge App" using their device and entering information about the celebrity or character. The display means functions as an input interface, allowing users to select events and related tags they wish to participate in.

[0669] The terminal sends the information entered by the user to the server. Based on this information, the server dynamically retrieves relevant event and tourist spot information by referencing external information provision services (APIs) and internal databases. Existing geographic information systems such as the Google Maps API are used in this process. The server further optimizes all items, using a generative AI model to generate the optimal itinerary, calculating transportation methods and required stay times.

[0670] The generated schedule is sent from the server to the terminal, which then presents it to the user through a visual interface. This interface includes map display and schedule confirmation functions. The user can review the schedule and make manual modifications as needed.

[0671] For example, if a user wants to attend a concert by a "specific celebrity" and do some sightseeing in the surrounding area, the app will retrieve the latest concert information and suggest transportation options (e.g., train or bus) from the user's current location to the destination. Furthermore, it will also suggest nearby tourist attractions.

[0672] During the booking process, the terminal requests the server to book transportation and accommodation based on the user's confirmed schedule. The server executes this request through the booking system and, after the booking is complete, sends the information to the terminal.

[0673] An example of a prompt is, "Retrieve the latest concert information for a specific celebrity, combine it with information on related tourist destinations, and generate and present a travel plan." Based on this prompt, the generating AI model proposes an appropriate schedule. In this way, users can plan and carry out their fan activities with peace of mind, efficiently, and smoothly.

[0674] The flow of the specific processing in Example 1 will be explained using Figure 11.

[0675] Step 1:

[0676] The user launches the "Oshikatsu Concierge App" on their device. The user interface is displayed, and the user enters the name of a celebrity or character and related activity tags. These tags may include specific events (e.g., "concert") or locations (e.g., "sightseeing"). The device sends this input as data to the server.

[0677] Step 2:

[0678] The server processes the received input data and queries external information provision services (APIs) and internal databases to retrieve relevant event and tourist destination information. Specifically, the server retrieves relevant event information based on the entered celebrity information and tourist destination information based on specified activity tags. As part of data processing, the retrieved information is filtered and consistency checked. The retrieved results are then prepared for the next step.

[0679] Step 3:

[0680] The server uses a generative AI model to generate the optimal itinerary. In this process, the AI ​​analyzes acquired event information and tourist spot information to formulate the best itinerary for the user. It calculates transportation methods and required stay times to create an overall efficient schedule. The generated itinerary is sent to the terminal as data.

[0681] Step 4:

[0682] The terminal presents the schedule to the user through a visual user interface based on schedule data received from the server. Information is provided to the user in an easy-to-understand manner through map displays and schedule lists. The output includes the order of visits, travel route, and scheduled times. The user can review this information and make corrections if necessary.

[0683] Step 5:

[0684] After the user reviews and modifies their itinerary, they approve the final itinerary on their device and request necessary reservations from the server. Specifically, the device creates requests for transportation and accommodation reservations and sends them to the server.

[0685] Step 6:

[0686] The server executes reservations for transportation and accommodation through the reservation system based on the received reservation request. Using the relevant APIs, it purchases tickets and secures accommodations, and sends the reservation completion information as data to the terminal.

[0687] Step 7:

[0688] The terminal notifies the user based on reservation completion information from the server. The notification includes reservation details, and the user is ultimately ready to enjoy their planned fan activities or sightseeing activities safely and efficiently.

[0689] (Application Example 1)

[0690] Next, we will explain Application Example 1. In the following explanation, the data processing device 12 will be referred to as the "server" and the robot 414 as the "terminal".

[0691] Conventional information acquisition systems make it difficult for users to efficiently gather information related to their favorite idol's activities and create optimal travel plans. Furthermore, the process from information acquisition to planning and actual procedures is complex and burdensome for users. A system is needed to solve this problem and support efficient and smooth idol-related activities.

[0692] The specific processing performed by the specific processing unit 290 of the data processing device 12 in Application Example 1 is realized by the following means.

[0693] In this invention, the server includes means for displaying a user interface for users to input information about celebrities or characters by voice, means for generating an optimal travel plan based on the acquired information and presenting it in voice and visual form, and means for managing the necessary transportation and accommodation arrangements based on the approved schedule. This makes it possible for users to easily acquire information related to their favorite idols, create an optimal plan, and manage all necessary procedures in one place.

[0694] A "user interface" is a means for users to directly interact with machines and applications, and it plays a role in bridging the gap between digital devices and humans.

[0695] An "external information provision service" is a third-party service that provides data via the internet or other means, enabling access to obtain specific information.

[0696] A "plan" is the process of developing detailed action plans to achieve a specific objective, and it is a framework for effectively utilizing time and resources.

[0697] "Presenting information aurally and visually" refers to a method of conveying information to users in an easy-to-understand manner using both audio output and graphical displays.

[0698] "Procedure management" is a methodology for efficiently and accurately handling a series of tasks such as reservations and arrangements, and a system for appropriately allocating related resources.

[0699] A "system" is a system designed to perform tasks independently with minimal user intervention, and is a highly responsive technology that possesses efficiency and flexibility.

[0700] This invention aims to support fans' activities related to their favorite celebrities or characters by enabling them to effectively plan and manage activities associated with those celebrities or characters. This system possesses advanced data acquisition and processing capabilities and is implemented as follows:

[0701] First, the user inputs information about a celebrity or character via voice into the user interface through their device. This information is then transmitted by the system to an external information service to retrieve relevant event and tourist destination information. The server uses this retrieved information to generate an optimal travel plan. This plan is presented to the user visually and audibly, allowing them to review it.

[0702] If the plan is approved, the server will automatically handle the necessary transportation and accommodation arrangements. This process includes speech recognition using Google Cloud Dialogflow, scheduling using the Google Calendar API, and a hotel reservation system using the Booking.com API.

[0703] For example, if a user wants to plan an "art event" and "local sightseeing," the server will find information on the nearest art event, coordinate transportation from the user's current location to the destination, and suggest nearby tourist attractions. All of this booking information and suggestions are provided comprehensively to the user.

[0704] An example of a prompt message to enable the implementation of this invention is as follows: "Please create your next travel plan. The destination is a local city, and you will attend an art event. Components include transportation, accommodation, and places to visit. How would you put together the optimal schedule?"

[0705] This allows users to easily plan events and sightseeing trips that suit their interests and complete the necessary procedures quickly and efficiently.

[0706] The flow of a specific process in Application Example 1 will be explained using Figure 12.

[0707] Step 1:

[0708] The device receives voice input from the user. Using speech recognition, it receives the user's desired celebrity or character and related activities, and converts this input data into text. The converted text information becomes the input for the next step.

[0709] Step 2:

[0710] Based on user input, the server retrieves event and tourist information via external information services. The server uses APIs to query necessary databases and collect details of relevant activities. The obtained data, including event names, locations, and dates, is prepared to generate personalized suggestions for the user.

[0711] Step 3:

[0712] Based on the acquired information, the server generates an optimal travel plan that takes into account the user's preferences and time constraints. The server uses a generation AI model to analyze the information and assemble the plan by calculating the travel route, duration of stay, and means of transportation. The generated plan is output as data that is visually displayed on the terminal.

[0713] Step 4:

[0714] The user reviews the proposed travel plan and makes modifications as needed. The device sends these changes to the server, which generates an updated plan. This process incorporates user feedback to create the most satisfying plan.

[0715] Step 5:

[0716] After the plan is approved, the server manages reservations for transportation and accommodation. Specifically, the server uses reservation management APIs such as Booking.com to query and confirm the necessary reservations. Once the reservations are made, the results are returned to the terminal, and the user can perform a final check in a closed loop and confidently begin planning.

[0717] Furthermore, an emotion engine that estimates the user's emotions may be incorporated. That is, the identification processing unit 290 may use the emotion identification model 59 to estimate the user's emotions and perform identification processing using the user's emotions.

[0718] A description of embodiments for carrying out this invention will be given.

[0719] The user launches the "Oshikatsu Concierge" app on their device. This application provides an interface for the user to enter the name of a celebrity or character. In addition, it has an emotion engine that recognizes emotions through the user's input and reactions.

[0720] When a user selects the name of their favorite idol and related activity tags (e.g., "concert," "tourism"), the device sends this information to the server. Based on the received information, the server consults databases and external APIs to gather relevant event and tourist destination information.

[0721] The server analyzes the acquired information and generates an optimal schedule. During this process, an emotion engine determines the user's emotional data, incorporating options and plans tailored to the user's mood. For example, a user who is feeling a little tired might be recommended relaxing tourist destinations or a schedule with ample time.

[0722] The device presents the generated schedule to the user, and the emotion engine monitors the user's response. This monitoring helps evaluate whether the user is satisfied with the schedule.

[0723] Once the user agrees to the schedule, the device requests the server to make reservations for transportation and accommodation. The server then makes these reservations and sends the completed reservation information back to the device.

[0724] For example, if a user is a fan of a "specific celebrity" and the emotion engine detects the user's recent stress, the server will offer relaxation-focused suggestions in addition to typical sightseeing activities (e.g., visiting a hot spring resort or securing a place to relax). In this way, a more personalized fan experience is provided.

[0725] Ultimately, the device notifies the user that all reservations are complete and prepares them to enjoy their fan activities with peace of mind according to the schedule. This approach allows the system to more emotionally support fan activities and increase user satisfaction.

[0726] The following describes the processing flow.

[0727] Step 1:

[0728] The user launches the "Oshi-katsu Concierge" app on their device. The device displays an interface for the user to enter the name of a celebrity or character.

[0729] Step 2:

[0730] The user enters or selects the name of their favorite idol and related activity tags (e.g., "concert," "tourism"). The device sends the entered information and selections to the server.

[0731] Step 3:

[0732] Based on the information received by the server, it uses databases and external APIs to retrieve relevant event information and tourist destination information.

[0733] Step 4:

[0734] The server analyzes the collected information and generates the optimal travel schedule for the user. At this point, the emotion engine monitors the user's emotional data and makes emotionally sensitive adjustments to the schedule.

[0735] Step 5:

[0736] The device presents the generated schedule to the user. The emotion engine emotionally evaluates the user's response and makes further adjustments as needed.

[0737] Step 6:

[0738] If the user agrees to the schedule, the device sends a booking request to the server. This includes booking transportation and accommodation based on the selected schedule.

[0739] Step 7:

[0740] The server executes the necessary reservation procedures and sends the completed reservation information to the terminal. The terminal then notifies the user that the reservation is complete, allowing them to confidently begin their fan activities and sightseeing.

[0741] Step 8:

[0742] The emotion engine continuously monitors user emotions during the trip and when new events are announced, dynamically revising schedules and making new suggestions as needed to further improve satisfaction.

[0743] (Example 2)

[0744] Next, we will describe Example 2. In the following description, the data processing device 12 will be referred to as the "server" and the robot 414 as the "terminal".

[0745] In today's information-saturated environment, efficiently acquiring information about what users support and creating individual action plans based on that information is not easy. Furthermore, providing personalized experiences based on users' emotions is also difficult. Therefore, there is a need for methods to improve the value of the user experience.

[0746] The identification process performed by the identification processing unit 290 of the data processing device 12 in Example 2 is realized by the following means.

[0747] In this invention, the server includes means for providing a screen for the user to input information about the object they support, means for dynamically acquiring relevant activity information and destination information using the input information and an emotion engine, and means for generating individually tailored action plans that take emotion data into consideration. This makes it possible for users to easily obtain an optimal action plan that matches their emotions.

[0748] A "user" refers to an individual who uses the system to create an action plan tailored to their interests and preferences.

[0749] "Target of support" refers to any entity, including celebrities and characters, that users are interested in and wish to gather information about or participate in related activities.

[0750] "Providing a screen" refers to the function of displaying an interface that allows users to input information.

[0751] An "emotion engine" refers to an algorithm or program that analyzes user input and past responses to determine the user's emotional state.

[0752] "Dynamic acquisition" refers to the process of collecting necessary data in real time from external sources and utilizing it within the system.

[0753] An "action plan" refers to a plan that includes details of recommended activities and schedules, generated for the user's benefit.

[0754] "Transportation means" refers to the means of transport used by users to travel to their destination.

[0755] "Accommodation facilities" refers to lodging services provided to users.

[0756] "External information acquisition means" refers to methods or devices used to acquire necessary data using external information provision services or APIs.

[0757] This system performs advanced information processing to enable users to create individual action plans. Specifically, elements such as servers, terminals, and emotion engines work together in coordination.

[0758] The user launches the "Oshikatsu Concierge" app using their device. This application provides an interface for the user to input the name of the person or thing they support and associated activity tags. The device then sends the input data to the server.

[0759] The server dynamically acquires necessary event and tourist information using external information acquisition methods based on data received from the user. This is done, for example, using the Google Maps API or other information-providing APIs. The acquired information is stored in a database and used in the next step.

[0760] Next, the server activates its emotion engine to analyze the user's emotional state. Using a generative AI model, it generates the most appropriate action plan based on the emotional data. This plan includes selecting activities and tourist destinations that match the user's emotions. For example, if the user is experiencing high stress levels, a plan emphasizing relaxation will be suggested.

[0761] The generated action plan is sent to the device and presented to the user. User feedback and reactions are also monitored by the emotion engine via the device. Finally, the device, with the help of the server, makes reservations for transportation and accommodation and notifies the user that all arrangements are complete.

[0762] As a concrete example, a user might be a fan of a "specific celebrity" and want to attend a performance by that person. In this case, a possible prompt might be, "I'm a fan of 'specific celebrity' and want to attend a concert. I'm also looking for a place to relax." Based on this, the system provides an experience optimized for the user's emotions and schedule.

[0763] In this way, the system creates a personalized and valuable experience for users, enabling efficient information acquisition and planning.

[0764] The flow of the specific processing in Example 2 will be explained using Figure 13.

[0765] Step 1:

[0766] The user launches the "Oshikatsu Concierge" app on their device. The device displays an interface for the user to enter the name of the person or thing they support and activity tags. The user enters information about a specific celebrity and selects activity tags such as "Concert." This input data will be used in a later step.

[0767] Step 2:

[0768] The terminal sends the user's input information to the server. The server receives the input data and dynamically retrieves relevant event and tourist information using its database and external information retrieval methods. For example, it retrieves tourist information from the Google Maps API. The output of this step is a set of retrieved relevant information.

[0769] Step 3:

[0770] The server analyzes the user's emotional state using an emotion engine based on user input data and acquired information. Using a generative AI model, it generates a personalized action plan tailored to the user's emotions. For example, it might suggest a relaxation-focused schedule for a user experiencing high stress. The output is a personalized action plan.

[0771] Step 4:

[0772] The server sends the generated action plan to the terminal. The terminal presents the plan to the user and collects the user's response. The emotion engine evaluates the response and measures user satisfaction. It is also determined at this step whether the user has reviewed the plan.

[0773] Step 5:

[0774] If the user agrees to the action plan, the terminal requests the server to make reservations for transportation and accommodation. The server then makes the necessary reservations, for example, using a transportation reservation API. At this step, information confirming the completion of the reservations is output.

[0775] Step 6:

[0776] The device notifies the user that all reservations and arrangements are complete. Upon receiving the notification, the user is ready to safely begin their fan activities. The output of this step is a completion notification to the user.

[0777] (Application Example 2)

[0778] Next, we will explain application example 2. In the following explanation, the data processing device 12 will be referred to as the "server" and the robot 414 as the "terminal".

[0779] While advancements in information technology have led to a wide variety of fan activity support applications offering diverse functions, there remains a challenge in providing truly personalized services that resonate with users' emotions. In particular, there is a lack of means to make appropriate suggestions based on the user's psychological state, raising concerns about a decline in the quality of the user experience. Furthermore, feedback and rewards for purchase behavior often fail to reflect the user's emotional state, resulting in a lack of increased user satisfaction.

[0780] The specific processing performed by the specific processing unit 290 of the data processing device 12 in Application Example 2 is realized by the following means.

[0781] In this invention, the server includes means for performing emotion analysis and determining the user's psychological state, means for acquiring information on relevant events and tourist destinations based on the input information and the results of the emotion analysis, and means for presenting special offers tailored to the user's emotional state. This makes it possible to provide a personalized experience that responds to the user's emotions.

[0782] A "user" is an individual who uses an application to input information or receive services.

[0783] A "celebrity" is a person who is widely known to the general public and is active in the entertainment industry or various other fields.

[0784] A "virtual character" is a character that does not actually exist but appears in many media.

[0785] An "input / output device" is a digital device equipped with an interface for users to input information or display results.

[0786] "Emotional analysis" is a process of diagnosing a user's psychological state through their input and responses.

[0787] "Psychological state" refers to the user's mental condition, including their current mood and stress level.

[0788] "Events" refer to performances, events, or related activities.

[0789] A "tourist destination" is a geographical or cultural place that is intended for tourists to visit.

[0790] A "travel plan" is a schedule that outlines the places a user will visit, the events they will participate in, their itinerary, and their means of transportation.

[0791] "Transportation means" refers to the vehicles used by users to travel.

[0792] "Accommodation facilities" refer to establishments or services that provide places for users to stay during their travels.

[0793] A "reservation" is the process of securing the date, time, and location for using a service in advance.

[0794] "Special offers" refer to benefits or services provided based on the user's psychological state and purchase history.

[0795] The system for carrying out this invention allows users to use a smartphone or tablet device to input information related to celebrities or virtual characters. The application on the device includes an emotion engine for analyzing the user's emotions, thereby measuring their psychological state. The emotion engine uses the "TensorFlow" library and processes data in real time.

[0796] The server retrieves information about events and tourist destinations via external data provision services based on information and sentiment data received from terminals. During this process, "pandas" is used to format and analyze the data. This ensures that users always receive the most up-to-date information.

[0797] Furthermore, the server considers the results of sentiment analysis to present special offers to users. Generating these special offers involves considering the user's past purchase history and psychological state, and using machine learning libraries such as "scikit-learn" to create optimized offers.

[0798] The travel plan and special offers generated by the server are sent to the user's device for review. After review, reservations for transportation and accommodation are automatically made based on the user's selections.

[0799] As a concrete example, if a user is looking for tickets to a music event and the emotion engine determines that the user is experiencing high stress levels, the server can offer a discount package at a relaxation facility in addition to the usual ticket purchase options. An example of a prompt for this suggestion could be, "What special offers can you offer to a user who is experiencing stress?"

[0800] In this way, the system can provide personalized services that are tailored to the user's emotions and needs, thereby increasing satisfaction.

[0801] The flow of a specific process in Application Example 2 will be explained using Figure 14.

[0802] Step 1:

[0803] The terminal retrieves information about a celebrity or virtual character from the user. The user then inputs the relevant information using the application's input / output device. This information is captured as a prompt.

[0804] Step 2:

[0805] The device uses an emotion engine to analyze the user's current psychological state. It acquires data from the user's facial expressions and voice as input and uses the "TensorFlow" library to diagnose stress levels and mood. The diagnostic results are used for personalization in subsequent steps.

[0806] Step 3:

[0807] The terminal sends the input information and the sentiment analysis results to the server. Based on the received information, the server collects information on events and tourist destinations from external data provision services. Here, "pandas" is used to format and filter the acquired data and select information that is highly relevant to the user.

[0808] Step 4:

[0809] The server generates a travel plan based on all the information. It considers the results of sentiment analysis to determine a suitable time allocation and destinations for the user. An optimization algorithm using "scikit-learn" is employed for plan generation. The output is a detailed travel schedule.

[0810] Step 5:

[0811] The server generates special offers tailored to the user's psychological state. It analyzes the user's past purchase history and current emotional state as input data to generate special offers, such as discounted packages or plans with added benefits.

[0812] Step 6:

[0813] The server sends the travel plan and special offers to the device, which then presents them to the user. The user can review and select the plan on the screen, and the device sends the results back to the server.

[0814] Step 7:

[0815] The server makes reservations for necessary transportation and accommodations based on the final travel plan. After the reservations are complete, the information is sent to the terminal and notified to the user. The reservation information is then displayed on the terminal as a confirmation screen, ensuring the user's peace of mind.

[0816] 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.

[0817] Data generation model 58 is a type of so-called generative AI (Artificial Intelligence). One example of data generation model 58 is ChatGPT (Internet search<URL: https: / / openai.com / blog / chatgpt> ), Gemini (Internet search) <url: https: gemini.google.com ?hl="ja">Examples of generative AI include the following. The data generation model 58 is obtained by performing deep learning on a neural network. The data generation model 58 is input with prompts containing instructions, and with inference data such as audio data representing speech, text data representing text, and image data representing images. The data generation model 58 infers from the input inference data according to the instructions indicated by the prompts, and outputs the inference results in data formats such as audio data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization.

[0818] In the above embodiment, an example was given in which the specific processing is performed by the data processing device 12, but the technology of this disclosure is not limited thereto, and the specific processing may also be performed by the robot 414.

[0819] 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.

[0820] Figure 9 shows an emotion map 400 in which multiple emotions are mapped. In the emotion map 400, emotions are arranged in concentric circles radiating from the center. The closer to the center of the concentric circles, the more primitive the emotions are located. Further out of the concentric circles, emotions representing states and actions arising from mental states are located. Emotion is a concept that includes feelings and mental states. On the left side of the concentric circles, emotions that are generally generated from reactions occurring in the brain are located. On the right side of the concentric circles, emotions that are generally induced by situational judgment are located. Above and below the concentric circles, emotions that are generally generated from reactions occurring in the brain and induced by situational judgment are located. In addition, the emotion of "pleasure" is located on the upper side of the concentric circles, and the emotion of "displeasure" is located on the lower side. Thus, in the emotion map 400, multiple emotions are mapped based on the structure in which emotions arise, and emotions that are likely to occur simultaneously are mapped close together.

[0821] 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.

[0822] 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.

[0823] Here, human emotions are based on various balances, such as posture and blood sugar levels. When these balances deviate from the ideal, it results in discomfort, and when they approach the ideal, it results in pleasure. Similarly, in robots, cars, motorcycles, etc., emotions can be created based on various balances, such as posture and battery level. When these balances deviate from the ideal, it results in discomfort, and when they approach the ideal, it results in pleasure. The emotion map can be generated, for example, based on Dr. Mitsuyoshi's emotion map (Research on a system for analyzing brain physiological signals of speech emotion recognition and emotion, Tokushima University, doctoral dissertation: https: / / ci.nii.ac.jp / naid / 500000375379). The left half of the emotion map contains emotions belonging to a region called "response," where sensation is dominant. The right half of the emotion map contains emotions belonging to a region called "situation," where situational awareness is dominant.

[0824] 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."

[0825] 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.

[0826] The above description primarily focuses on the functions of the data processing device 12 in relation to this disclosure. However, the system related to this disclosure is not necessarily implemented on a server. The system related to this disclosure may be implemented as a general information processing system. This disclosure may be implemented, for example, as a software program that runs on a personal computer or as an application that runs on a smartphone. The method related to this disclosure may be provided to users in SaaS (Software as a Service) format.

[0827] In the above embodiment, an example was given in which a specific process is performed by a single computer 22. However, the technology of this disclosure is not limited thereto, and a distributed processing of the specific process may be performed by multiple computers, including computer 22. For example, a data generation model 58 may be provided in an external device of the data processing device 12, and the external device may generate data according to the input data.

[0828] 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.

[0829] 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.

[0830] 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.

[0831] 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.

[0832] 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.

[0833] 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.

[0834] 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.

[0835] The descriptions and illustrations presented above are detailed explanations of the technical aspects of this disclosure and are merely examples of the technical aspects. For example, the above descriptions of the structure, function, operation, and effect are examples of the structure, function, operation, and effect of the technical aspects of this disclosure. Therefore, it goes without saying that you may delete unnecessary parts, add new elements, or replace elements in the descriptions and illustrations presented above, as long as you do not deviate from the essence of the technical aspects of this disclosure. Furthermore, in order to avoid confusion and facilitate understanding of the technical aspects of this disclosure, explanations of common technical knowledge and the like that do not require special explanation to enable the implementation of the technical aspects of this disclosure have been omitted from the descriptions and illustrations presented above.

[0836] 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 as being incorporated by reference.

[0837] The following is further disclosed regarding the embodiments described above.

[0838] (Claim 1)

[0839] A means of displaying an interface for users to input information about a celebrity or character,

[0840] A means of obtaining information on relevant events and tourist destinations based on the input information,

[0841] A means of generating the optimal travel schedule based on the acquired information,

[0842] A means of presenting the generated schedule to the user and obtaining their confirmation,

[0843] Based on the confirmed schedule, the means to make necessary transportation and accommodation reservations,

[0844] A system that includes means for notifying users of reservation information.

[0845] (Claim 2)

[0846] The system according to claim 1, which calculates and optimizes the means of travel and the time required in the generated schedule.

[0847] (Claim 3)

[0848] The system according to claim 1, which dynamically acquires event information and tourist destination information using an external API.

[0849] "Example 1"

[0850] (Claim 1)

[0851] A means of providing a display mechanism for users to input information about famous people or characters,

[0852] A means for obtaining information on relevant events and tourist spots based on the input information,

[0853] A means for generating an optimal schedule based on acquired information,

[0854] A means of presenting the generated schedule to the user and obtaining confirmation from the user,

[0855] Based on the confirmed schedule, a means of making reservations for necessary transportation and accommodation,

[0856] A system that includes a means of notifying users of reservation completion information.

[0857] (Claim 2)

[0858] The system according to claim 1, which calculates the means of transportation and required stay time in the generated schedule and optimizes them using a generated AI model.

[0859] (Claim 3)

[0860] The system according to claim 1, which dynamically acquires event information and tourist spot information using an external information provision service.

[0861] "Application Example 1"

[0862] (Claim 1)

[0863] A means for displaying a user interface for users to input information about celebrities or characters by voice,

[0864] A means of obtaining information on relevant events and tourist destinations based on the input information through an external information provision service,

[0865] A means of generating an optimal travel plan based on the acquired information and presenting it in audio and visual formats,

[0866] A means of having the user review the generated plan and obtain their approval,

[0867] Based on the approved schedule, a means of managing the necessary transportation and accommodation arrangements,

[0868] A system that includes means of communication via an information device that notifies users of management information.

[0869] (Claim 2)

[0870] The system according to claim 1, which calculates the means of transportation and the time required based on the generated plan, and optimizes it.

[0871] (Claim 3)

[0872] The system according to claim 1, which dynamically acquires and processes event information and tourist destination information using an external information provision service.

[0873] "Example 2 of combining an emotion engine"

[0874] (Claim 1)

[0875] A means of providing a screen for users to input information about the object they support,

[0876] A means for dynamically acquiring relevant activity information and place of visit information using input information and an emotion engine,

[0877] A means of generating individually tailored action plans that take emotional data into consideration,

[0878] A method for presenting a generated action plan to the user, analyzing their emotional response, and obtaining their approval,

[0879] Based on the approved action plan, means of arranging transportation and accommodation,

[0880] A system that includes means for notifying users of completed arrangement information.

[0881] (Claim 2)

[0882] The system according to claim 1, which calculates and adjusts the means of transportation and the time required in the generated action plan.

[0883] (Claim 3)

[0884] The system according to claim 1, which dynamically collects activity information and place of visit information by making full use of external information acquisition means.

[0885] "Application example 2 when combining with an emotional engine"

[0886] (Claim 1)

[0887] A means for displaying an input / output device for users to input information about famous people or virtual characters,

[0888] A means of analyzing emotions to determine the user's psychological state,

[0889] A means of obtaining information on relevant events and tourist destinations based on the input information and the results of sentiment analysis,

[0890] A means of generating the optimal travel plan based on the acquired information,

[0891] A means of presenting the generated plan to the user and obtaining their confirmation,

[0892] Based on the confirmed plan, the means of making reservations for essential transportation and accommodation,

[0893] Means of notifying users of reservation information,

[0894] A system that includes means of offering special services tailored to the user's emotional state.

[0895] (Claim 2)

[0896] The system according to claim 1, which calculates and optimizes the means of travel and travel time in the generated plan and incorporates benefits.

[0897] (Claim 3)

[0898] The system according to claim 1, which dynamically acquires event information and tourist destination information using an external data provision service. [Explanation of Symbols]

[0899] 10, 210, 310, 410 Data Processing Systems 12 Data Processing Devices 14 Smart Devices 214 Smart Glasses 314 Headset-type terminal 414 Robots< / url:> < / url:> < / url:> < / url:>

Claims

1. A means for displaying a user interface for users to input information about celebrities or characters by voice, A means of obtaining information on relevant events and tourist destinations based on the input information through an external information provision service, A means of generating an optimal travel plan based on the acquired information and presenting it in audio and visual formats, A means of having the user review the generated plan and obtain their approval, Based on the approved schedule, a means of managing the necessary transportation and accommodation arrangements, A system that includes means of communication via an information device that notifies users of management information.

2. The system according to claim 1, which calculates the means of transportation and the time required based on the generated plan, and optimizes it.

3. The system according to claim 1, which dynamically acquires and processes event information and tourist destination information using an external information provision service.

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