system

Abstract

We provide the system. [Solution] A means for receiving destination information, Means for generating or acquiring music data that expresses emotional elements, A means for analyzing an emotional profile based on the aforementioned music data, Means for generating a travel plan based on the aforementioned emotional profile, A means of presenting the aforementioned travel plan, A system that includes this.

Description

Technical Field

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

Background Art

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

Prior Art Documents

Patent Documents

[0003]

Patent Document 1

Summary of the Invention

Problems to be Solved by the Invention

[0004] There is a problem that there are many travel options and it is difficult to find an optimal travel experience based on one's own feelings and moods. In the conventional travel plan creation method, a plan starting from feelings is not provided, and it is difficult to choose a travel suitable for oneself.

Means for Solving the Problems

[0005] This invention provides a means for receiving destination information, generating or acquiring music data that expresses emotional elements, and analyzing an emotional profile based on that music data. Furthermore, it provides a system for generating a travel plan based on this emotional profile and presenting that travel plan. In addition, by customizing music data based on user selection or acquiring music data from external services and using it for analysis, it realizes a personalized travel experience that is in line with the user's emotions.

[0006] "Destination information" refers to data about specific geographical locations or places that a user wants to visit.

[0007] "Emotional elements" are elements or characteristics that can characterize human emotions in a particular way.

[0008] "Music data" refers to digital information that makes up music, such as melody, rhythm, and harmony.

[0009] "Generation" refers to the act of creating or producing something new.

[0010] "Acquisition" means obtaining existing data or information.

[0011] An "emotional profile" is a collection of emotional tendencies and characteristics extracted from specific music data.

[0012] "Analysis" is the act of examining specific data or information in detail and understanding its content and structure.

[0013] A "travel plan" is information that includes details such as the itinerary, accommodation, sightseeing destinations, and activities of a trip.

[0014] "Presentation" refers to the act of showing information or data to a user.

[0015] "Customization" refers to the act of making adjustments or changes to meet specific needs or requests.

[0016] "External service" refers to a service or function provided by a third party outside the own system.

Brief Description of Drawings

[0017] [Figure 1] It 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 a data processing system in Application Example 2 when a sentiment engine is combined.

Embodiments for Carrying Out the Invention

[0018] 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.

[0019] First, the terms used in the following description will be explained.

[0020] In the following embodiments, a numbered processor (hereinafter simply referred to as "processor") may be a single arithmetic unit or a combination of multiple arithmetic units. Also, the processor may be a single type of arithmetic unit or a combination of multiple types of arithmetic units. Examples of arithmetic units include a CPU (Central Processing Unit), a GPU (Graphics Processing Unit), a GPGPU (General-Purpose computing on Graphics Processing Units), an APU (Accelerated Processing Unit), and the like.

[0021] In the following embodiments, a numbered RAM (Random Access Memory) is a memory in which information is temporarily stored and is used as a work memory by the processor.

[0022] In the following embodiments, a numbered storage is one or more non-volatile storage devices that store various programs and various parameters, etc. Examples of non-volatile storage devices include flash memory (SSD (Solid State Drive)), magnetic disks (e.g., hard disks), or magnetic tapes, etc.

[0023] In the following embodiments, the signed communication interface (I / F) is an interface that includes a communication processor and an antenna, etc. The communication interface manages communication between multiple computers. Examples of communication standards applicable to the communication interface include wireless communication standards such as 5G (5th Generation Mobile Communication System), Wi-Fi (registered trademark), or Bluetooth (registered trademark).

[0024] 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."

[0025] [First Embodiment]

[0026] Figure 1 shows an example of the configuration of the data processing system 10 according to the first embodiment.

[0027] 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.

[0028] 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).

[0029] 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.

[0030] 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.

[0031] 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.

[0032] 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.

[0033] Figure 2 shows an example of the main functions of the data processing device 12 and the smart device 14.

[0034] 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.

[0035] 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.

[0036] 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.

[0037] 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".

[0038] The system implementing this invention provides users with a personalized travel experience by suggesting travel plans based on their emotions.

[0039] First, the user enters their desired destination on the device. The device then sends this destination information to the server. Upon receiving the destination information, the server generates music data that reflects emotional elements. Furthermore, the server uses an external music distribution service to obtain music data related to that location. This allows the server to provide both generated music and existing music.

[0040] The user listens to music data provided on their device and selects the music they like. Based on this selection, the device sends the music data back to the server. The server analyzes the music data, extracts the emotional elements of the music, and creates an emotional profile. This emotional profile is used to identify emotions such as "relaxation" or "excitement."

[0041] Next, the server searches and generates a relevant travel plan from the travel database based on the emotional profile. This process is designed to ensure that destinations, accommodations, activities, and transportation all match the emotional profile. The generated travel plan is then sent to the terminal and presented to the user.

[0042] Users can view the presented travel plan on their device and customize its contents. If the user makes changes, the device sends those changes back to the server, which updates the travel plan as needed.

[0043] As a concrete example, consider a scenario where a user enters "Barcelona" as their destination. The server generates and retrieves passionate flamenco music and classical guitar music associated with Barcelona. If the user's chosen music derives an emotional profile of "passion," the server suggests a plan that includes attending a flamenco show and a tour of historical buildings. The user can then further customize this plan to their liking.

[0044] In this way, the present invention provides an optimal travel plan that matches the user's emotions, making the travel selection process more emotional and personalized.

[0045] The following describes the processing flow.

[0046] Step 1:

[0047] The user enters the destination they wish to visit on their device. The device then sends this destination information to the server.

[0048] Step 2:

[0049] The server generates music data that expresses emotional elements based on the received destination information. In parallel, it retrieves relevant existing music data using APIs from external music distribution services.

[0050] Step 3:

[0051] The terminal presents the user with generated and retrieved music data sent from the server. The user listens to the provided music data and selects the music they like.

[0052] Step 4:

[0053] Based on the user's music selection, the device sends the selected music data to the server. The server analyzes the selected music data and generates an emotional profile.

[0054] Step 5:

[0055] The server uses the generated emotion profile to create a travel plan that matches the emotion from the corresponding travel database. Specifically, it selects tourist destinations, accommodations, activities, and so on.

[0056] Step 6:

[0057] The terminal displays a travel plan sent from the server to the user. The user reviews the plan and customizes its contents as needed.

[0058] Step 7:

[0059] When a user customizes their travel plan, the device sends those changes to the server. The server updates the travel plan based on the received changes and then provides the user with the final plan again.

[0060] (Example 1)

[0061] 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."

[0062] Traditional travel planning systems have struggled to personalize travel plans based on individual user emotions and preferences. As a result, users often fail to obtain travel experiences that align with their emotional needs, and the process of adjusting plans accordingly is time-consuming. Therefore, there is a need for a system that automatically generates and presents travel plans based on the user's emotional characteristics.

[0063] 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.

[0064] In this invention, the server includes means for receiving destination data, means for generating or acquiring musical information that expresses emotional elements, means for analyzing emotional characteristics based on the musical information, means for generating a travel plan based on the emotional characteristics, and means for displaying the travel plan. This makes it possible to personalize and present a travel plan based on the user's emotional profile.

[0065] "Destination data" refers to information about geographical locations that users want to visit.

[0066] "Musical information that expresses emotional elements" refers to information related to music designed to evoke or express specific emotions.

[0067] "Analyzing emotional characteristics" refers to the process of analyzing a user's emotional state and preferences from music information and identifying those characteristics.

[0068] "Generating a travel plan" refers to the process of creating a personalized itinerary by combining sightseeing activities, accommodations, transportation, and other elements based on the user's emotional characteristics.

[0069] "Displaying the travel plan" refers to visually presenting the details of the generated travel plan to the user.

[0070] In the system implementing this invention, the user first inputs destination data using a terminal. The destination data is information about the desired travel destination and serves as basic data for the system to perform subsequent processing. The destination data transmitted from the terminal is processed on the server.

[0071] After receiving destination data, the server applies sentiment analysis algorithms and AI models for music generation to generate or acquire musical information that expresses emotional elements. Specific software used includes sentiment analysis programs and APIs from external music distribution services, such as major music service providers. In this step, music is selected according to the user's intentions in order to collect musical information that reflects the user's individual emotional state.

[0072] Next, the user listens to music information on their device, and their emotional characteristics are analyzed based on the music they select. The analyzed emotional characteristics data supports the travel plan generation process on the server. In this process, the emotional characteristics data is analyzed and the most suitable sightseeing activities and accommodations are selected from the travel database. The generated travel plan is then presented to the user via their device.

[0073] For example, if a user enters "Barcelona" as their desired destination, the server will generate and retrieve passionate flamenco music associated with Barcelona. If the user selects this music, the server will analyze the emotional characteristic of "passion" and create a travel plan that includes attending flamenco shows and tours of historical buildings.

[0074] An example of a prompt to input into the generative AI model is as follows: "If the user's emotional profile is 'passionate,' please suggest a plan that provides a passionate travel experience in Barcelona."

[0075] This invention's system allows travelers to smoothly obtain personalized travel experiences tailored to their emotions.

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

[0077] Step 1:

[0078] The user enters travel destination data using a terminal. The entered destination data, which includes geographical information about the travel destination, is sent from the terminal to the server. This allows the server to receive the basic data necessary to begin the next process.

[0079] Step 2:

[0080] The server generates musical information that expresses emotional elements based on the received destination data. The specific software used includes an emotion analysis algorithm and a music generation AI model, which generate emotional musical data related to the user's destination. The output of this process is the generated musical information.

[0081] Step 3:

[0082] The server accesses an external music service provider to retrieve music information relevant to the destination. It uses an external music database or distribution service API to collect existing music data. The resulting output is the retrieved music information.

[0083] Step 4:

[0084] The user listens to music information generated and retrieved on the device and selects their preferred music. This selection process reflects the user's emotional preferences. The device sends the selected music data back to the server, providing emotional data that reflects the user's preferences.

[0085] Step 5:

[0086] The server analyzes the selected music data and extracts emotional characteristics. Using emotion analysis software, it analyzes the emotional characteristics contained in the music and generates emotional characteristic data such as "relaxing" and "passionate." The output of this step is the analyzed emotional characteristic data.

[0087] Step 6:

[0088] The server generates a travel plan based on the analyzed emotional traits data. It creates a personalized travel plan by searching a travel database and selecting sightseeing activities and accommodations that match the emotional traits. The output of this process is the generated travel plan.

[0089] Step 7:

[0090] The generated travel plan is sent from the server to the terminal and presented to the user. The user can review the travel plan and customize its contents as needed. Any changes made by the user are sent from the terminal to the server, and the travel plan is updated as necessary. The final output is a travel plan optimized for the user.

[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] Providing personalized travel experiences tailored to users' emotions and preferences is not easy. In particular, there are limited methods for leveraging the emotional elements of music to align travel plans with users' feelings. Therefore, there is a need to propose travel experiences that users can truly enjoy.

[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 receiving destination information, means for generating or acquiring music data that expresses emotional elements, means for analyzing an emotional profile based on the music data, means for generating a travel plan based on the emotional profile, means for presenting the travel plan, means for updating the emotional profile and customizing the travel plan based on music selected by the user, and means for suggesting relevant cultural experiences and destinations using a generative AI model based on the generated emotional profile. This makes it possible to suggest personalized travel experiences that are tailored to the user's emotions and preferences.

[0096] "Destination information" refers to data about the geographical location that the user wishes to visit.

[0097] "Emotional elements" are attributes that describe the emotional states that music and other content evoke in humans.

[0098] "Music data" refers to digital data that can be played back as music, including emotional elements.

[0099] An "emotional profile" is information that indicates a user's emotional preferences, generated based on the music data selected by the user.

[0100] A "travel plan" is a plan that includes travel destinations, activities, and accommodation information, suggested based on the user's emotional profile.

[0101] "Customizing" means adjusting or changing the plan and data content according to the user's requests and choices.

[0102] A "generative AI model" is an artificial intelligence system trained using large datasets and used to generate content or predictions for specific tasks.

[0103] "To propose" means to present options and information to the user to help them make a decision.

[0104] The system implementing this invention aims to provide a personalized travel plan tailored to the user's emotions. The basic processing consists of acquiring destination information, generating and acquiring music data, analyzing the emotional profile, and generating and presenting a travel plan.

[0105] The server receives destination information entered by the user on the terminal. Based on this information, the server generates relevant music data or retrieves it from an external music distribution service. By utilizing external music data APIs in this process, it is possible to provide more specific and emotionally rich music. For example, one could consider using a "music API".

[0106] The acquired music data is analyzed for emotional elements using specialized analysis software, generating a user emotional profile. The technology used here includes the "Google Cloud Natural Language API." The analysis results are reflected in the user's emotional profile, identifying emotions such as "relaxed" or "excited."

[0107] Next, the server uses a generative AI model to create a travel plan based on the user's emotional profile. This process utilizes generative AI models such as "GPT-3(registered trademark)" and includes tourist destinations, cultural experiences, and accommodations that fit the user's emotions. This plan is then sent to the terminal and presented to the user.

[0108] Users can customize their travel plans on their devices. When a user makes changes to the plan, the device sends that information back to the server, and the plan is updated as needed.

[0109] For example, if a user enters "Paris" as their destination, the server can retrieve chansons and classical music, and based on the user's emotional profile of "romantic," it can suggest a plan that includes a Seine River cruise and lunch at a cafe. The AI ​​model generates the travel plan using a prompt such as, "Please suggest a romantic travel plan to visit Paris. Please include recommended sights, activities, and accommodations."

[0110] In this way, the present invention can specifically provide a travel experience tailored to the user's emotions and make the travel selection process more personalized.

[0111] The flow of a specific process in Application Example 1 will be explained using Figure 12.

[0112] Step 1:

[0113] The user enters destination information into the terminal. The terminal receives this input and sends the destination information to the server. The input data is a place name, such as "Paris," and is sent to the server as request data.

[0114] Step 2:

[0115] The server generates or retrieves relevant music data from an external service based on the received destination information. Here, a music API is used to search for and retrieve music related to the destination. The input is destination information, and the output is multiple music data related to that destination.

[0116] Step 3:

[0117] The server passes the acquired music data to analysis software to analyze its emotional elements. Using the Google Cloud Natural Language API, it extracts the emotional profile of the music and generates a user emotional profile. The input is music data, and the output is an emotional profile such as "relaxed" or "excited."

[0118] Step 4:

[0119] The server uses a generative AI model to generate travel plans based on emotional profiles. Prompts are input to the AI ​​model, which then proposes travel plans that include tourist destinations, accommodations, and activities that match the user's emotions. The input is the emotional profile, and the output is the generated travel plan.

[0120] Step 5:

[0121] The terminal receives the travel plan sent from the server and presents it to the user. The user can review the plan and customize it by informing the server of any changes through the terminal. The input is the travel plan, and the output is the plan presented to the user.

[0122] Step 6:

[0123] The server receives customization information from the terminal and updates the travel plan accordingly. The recalculated data is sent back to the terminal and presented to the user as the final travel plan. In this step, the user's requested changes are the input, and the output is the updated travel plan.

[0124] 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.

[0125] The system implementing this invention recognizes the user's emotional state using an emotion engine and proposes a personalized travel plan based on that. This makes it possible to provide a travel experience that matches the user's emotions.

[0126] First, the user enters the destination they wish to visit from their device. This destination information is sent from the device to the server. Based on the received destination information, the server generates or obtains music data that expresses emotional elements associated with that location from an external service. Subsequently, the device uses an emotion engine to measure the user's real-time emotional data. The emotion engine analyzes the user's facial expressions, voice, and other biometric data to identify their current emotional state.

[0127] By combining this emotional state with the music data presented to the user, the user selects a song that matches their emotions. This selection is sent from the device to the server, which then analyzes the selected music data in detail to generate an emotional profile.

[0128] The emotional profile reflects in detail the experiences and emotions a user desires from their trip. The server utilizes this emotional profile to generate specific travel plans from the travel database. These plans include destinations, accommodations, activities, and dining options that match the emotional profile.

[0129] Next, when the device presents the travel plan to the user, the emotion engine is used again to measure the user's reaction to the plan in real time. This allows for instant adaptation of the parts that interest the user most and any necessary adjustments.

[0130] As a concrete example, consider a scenario where the user sets "Kyoto" as their destination. The server generates or retrieves emotionally rich music related to art and traditional culture. The device utilizes an emotion engine to measure emotions such as "expectations," and the server generates a plan that includes temple visits and Zen experiences. The user can then review this travel plan in detail, customize it via the device if necessary, and receive the final plan.

[0131] In this way, the present invention aims to realize travel planning based on real-time emotion recognition of users, and to provide a more intuitive and emotionally resonant travel experience.

[0132] The following describes the processing flow.

[0133] Step 1:

[0134] The user enters their desired destination into the device. The destination information is then sent from the device to the server.

[0135] Step 2:

[0136] The server uses the received destination information to activate a generative AI model and generate music data with emotional elements associated with that location. Simultaneously, it retrieves existing music data through an external music service API.

[0137] Step 3:

[0138] The device presents the acquired music data to the user. During presentation, it utilizes an emotion engine to analyze the user's facial expressions and voice, recognizing their current emotions in real time.

[0139] Step 4:

[0140] The user listens to the provided music data and selects their favorite songs. The device sends this selection to the server. Based on the selected songs, the server creates an emotional profile that matches the user's mood.

[0141] Step 5:

[0142] The server generates a travel plan using the created emotional profile. It selects tourist destinations and activities suitable for the emotional profile from the travel database and constructs the plan.

[0143] Step 6:

[0144] The generated travel plan is sent to the device. The device presents the plan to the user. The emotion engine on the device activates again, measuring the user's reaction and evaluating whether the plan meets the user's expectations.

[0145] Step 7:

[0146] If the user reviews the plan and wishes to make adjustments as needed, they send a change request to the server via their device. The server then uses this information to reconstruct the plan and presents the final version to the user.

[0147] (Example 2)

[0148] 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 will be referred to as the "terminal."

[0149] To provide personalized travel experiences, it is necessary to generate travel plans based on the user's emotional state, but there has been no effective means to achieve this in real time. Therefore, there is a need for a system that appropriately reflects the user's current emotional state and provides travel plans that align with the user's interests and expectations.

[0150] 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.

[0151] In this invention, the server includes means for receiving information about places to visit, means for generating or acquiring music-related information that expresses emotional elements, and means for identifying the emotional state using the user's facial expressions, voice, and biometric information. This makes it possible to generate a travel plan that matches the user's emotions in real time, providing a more intuitive and personalized travel experience.

[0152] "Information about places you want to visit" refers to data about the geographical location selected by the user as their travel purpose.

[0153] "Music-related information that expresses emotional elements" refers to music data and related music information that are generated or acquired with the purpose of evoking specific emotions.

[0154] "User facial expressions, voice, and biometric information" refers to facial expressions, voice characteristics, and physiological data of the body collected to identify the user's emotional state.

[0155] "Identifying emotional states" is the process of analyzing a user's emotions and identifying states such as joy, sadness, and anticipation.

[0156] "Analyzing emotional characteristics" involves combining music-related information with the user's emotional state to evaluate the user's emotional preferences and tendencies.

[0157] A "travel plan" is a travel itinerary that includes destinations, accommodations, activities, and dining options, designed based on the user's interests and preferences.

[0158] "Measuring user responses in real time" means collecting and analyzing the user's reactions to the presented travel plan at that moment.

[0159] "External information sources" refer to data and services provided from outside the system, and are used to obtain music-related information.

[0160] The embodiment of the invention provides a system that personalizes travel plans based on the user's emotional state and presents them in real time. This system creates a more personal and emotionally resonant travel itinerary by transmitting, receiving, and processing data among the user, terminal, and server.

[0161] The user first uses a device to enter information about the place they want to visit. The device then acts as a transmitter, sending this information to the server.

[0162] The server generates music-related information that expresses emotional elements associated with the location, based on the received information about the visited place. This process may utilize AI models for music generation, and may also involve obtaining existing music data from external sources.

[0163] The device uses emotion analysis software to acquire the user's facial expressions, voice, and biometric information in real time, thereby identifying the user's current emotional state. This identified emotion data is sent to a server, where it is combined with music-related information to analyze emotional characteristics.

[0164] The specific technology utilizes the emotion analysis software "Emotion Analyzer Pro," and music generation is handled by "Music Generation AI." Based on the emotional profile generated in this way, the server creates a travel plan. The plan includes tourist destinations, accommodations, and various activities that are suited to the user's emotional state.

[0165] When a travel plan is presented to the device, it performs sentiment analysis again, collecting user responses in real time. This process allows for quick responses to the parts that interest the user most and any necessary adjustments.

[0166] As a concrete example, consider a case where a user chooses Kyoto as their travel destination because they want to "experience historical culture." In this case, the server generates music related to traditional culture and, based on emotional data from the device, plans activities that align with the user's emotions, such as visiting temples and shrines or experiencing Zen meditation.

[0167] An example of a prompt message for this system could be: "Use the user's emotional data and information about the selected destination to suggest a travel plan that matches their emotions." This configuration allows users to have a more empathetic and personal travel experience.

[0168] The flow of the specific processing in Example 2 will be explained using Figure 13.

[0169] Step 1:

[0170] The user enters information about the place they wish to visit using their device. This input is done via a touch interface on the screen, etc. The location information entered by the user is sent to the device. Based on this input information, the following processing is performed.

[0171] Step 2:

[0172] The device sends location information from the user to the server. The server receives the HTTP request and analyzes the location data. The data obtained from this analysis is stored on the server as basic information necessary for the next step in music generation.

[0173] Step 3:

[0174] The server uses a product database and AI modules to generate music-related information that expresses emotional elements associated with a location. A generative AI model is used to select music themes based on relevant keywords and characteristics. This generates music-related information, which is then used for subsequent sentiment analysis.

[0175] Step 4:

[0176] The device uses emotion analysis software to measure the user's emotional state in real time. Facial expressions and voice data input from the camera and microphone are processed by the emotion analysis engine to identify the user's current emotional state. The identified emotional data is then reported to the device.

[0177] Step 5:

[0178] The user listens to music presented on the device and interacts with it. For example, facial expressions are detected during music playback, and these reactions are recorded on the device as new emotional data. This information is then sent to a server and used for analyzing emotional characteristics.

[0179] Step 6:

[0180] The server analyzes emotional characteristics based on music-related information and the emotional state received from the user. An AI module is used for the analysis to evaluate the user's emotional preferences and tendencies. The emotional profile generated from this evaluation is then used to create the next travel plan.

[0181] Step 7:

[0182] The server generates a travel plan based on the generated emotional profile. Using the "Travel Planning System," a travel plan is created that includes tourist destinations, accommodations, and activities tailored to the user's emotions. This plan is then ready to be sent to the device.

[0183] Step 8:

[0184] The terminal presents the user with a travel plan sent from the server. A detailed plan is displayed through the user interface, and the user provides feedback. If necessary, the user can adjust the plan through the terminal and finalize it.

[0185] Step 9:

[0186] After the final plan is decided, the device connects with the server to ensure the plan is saved and shared. The final travel plan is provided to the user in a format such as PDF to support travel preparations.

[0187] (Application Example 2)

[0188] 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".

[0189] In modern travel planning, there is a growing demand for experiences and travel plans that align with one's emotional state. However, traditional travel plans are fixed and difficult to customize to the individual emotions of users. Furthermore, there have been limited means of using virtual reality technology to provide users with immersive experiences that resonate with their emotions.

[0190] 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.

[0191] In this invention, the server includes means for acquiring destination information, means for generating or acquiring musical information that expresses emotional elements, and means for providing virtual reality content. This makes it possible to create variable travel plans according to the user's emotional state and to provide a virtual reality experience that is in harmony with those emotions.

[0192] "Destination information" refers to data about places that users want to visit.

[0193] "Emotional elements" are elements that express the user's emotional state through music and content.

[0194] "Music information" refers to music data used to express emotional elements.

[0195] "Emotional description" refers to detailed information about a user's emotional state, analyzed based on music data.

[0196] A "travel plan" is a plan that combines tourist destinations and activities, created based on the user's emotional description.

[0197] "Virtual reality content" refers to content that includes visual and auditory information experienced by users in a virtual environment.

[0198] The system implementing this invention consists of multiple components to provide a travel plan customized according to the user's emotional state. Specifically, it includes a server, a terminal, an emotion engine, a music information generation device, and a virtual reality content provision device.

[0199] The server first receives destination information entered by the user from their terminal. This destination information is entered in text format and sent to the server via the internet. The server generates music information that expresses emotional elements related to the user's specified destination, and can also obtain music information from external music services. This utilizes APIs from music streaming services and generative AI models.

[0200] Next, the device uses an emotion engine to measure the user's real-time emotional state. This emotion engine generates an emotion description by analyzing the user's facial expressions with a camera and their voice with a microphone. The collected emotional data is processed using data analysis tools in the cloud.

[0201] The server creates a travel plan based on the emotion descriptions obtained. This travel plan includes tourist destinations and activities that match the user's emotions. This plan is represented as virtual reality content and delivered to the user through a virtual reality headset. Through this virtual reality experience, the user can visually experience the planned trip.

[0202] For example, if a user sets "Kyoto" as their destination and seeks a relaxing experience, the server will generate a travel plan themed around temples, shrines, and natural landscapes, and then provide that experience in virtual reality. In this process, the content is optimized using a generative AI model by setting prompts such as, "I want to relax today. Please suggest what kind of experiences I can have in Kyoto."

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

[0204] Step 1:

[0205] The user enters destination information in text format using their device. This information is sent to the server via the internet. The entered destination information is output as data used in the next step to generate music information.

[0206] Step 2:

[0207] The server generates music information that expresses emotional elements associated with a location, based on destination information received from the user. It also retrieves music information from external music services as needed. In this process, it uses generative AI models and music streaming APIs to process the data and output music information that is relevant to the target audience.

[0208] Step 3:

[0209] The device activates an emotion engine to measure the user's emotional state in real time. Specifically, it analyzes the user's facial expressions using a camera and analyzes their voice tone using a microphone. The emotional data obtained from this analysis is output as an emotion description and sent to the server.

[0210] Step 4:

[0211] The server receives the user's emotion description and generates a travel plan based on it. The system combines the emotion description with musical information to perform calculations, selecting appropriate tourist destinations and activities for the travel plan. As a result, the system outputs a customized travel plan.

[0212] Step 5:

[0213] The server converts the generated travel plan into virtual reality content and presents it to the user through a virtual reality headset. The virtual reality content generated by the data conversion is output, and the user can use this content to gain a visual experience.

[0214] Step 6:

[0215] Through the virtual reality experience, users evaluate whether the selected travel plan matches their emotions and, if necessary, send feedback to the server via their device. This feedback is stored as reference data for generating future plans.

[0216] 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.

[0217] 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.

[0218] 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.

[0219] [Second Embodiment]

[0220] Figure 3 shows an example of the configuration of the data processing system 210 according to the second embodiment.

[0221] 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.

[0222] 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).

[0223] 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.

[0224] 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.

[0225] 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).

[0226] 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.

[0227] 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.

[0228] 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.

[0229] 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.

[0230] 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.

[0231] 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".

[0232] The system implementing this invention provides users with a personalized travel experience by suggesting travel plans based on their emotions.

[0233] First, the user enters their desired destination on the device. The device then sends this destination information to the server. Upon receiving the destination information, the server generates music data that reflects emotional elements. Furthermore, the server uses an external music distribution service to obtain music data related to that location. This allows the server to provide both generated music and existing music.

[0234] The user listens to music data provided on their device and selects the music they like. Based on this selection, the device sends the music data back to the server. The server analyzes the music data, extracts the emotional elements of the music, and creates an emotional profile. This emotional profile is used to identify emotions such as "relaxation" or "excitement."

[0235] Next, the server searches and generates a relevant travel plan from the travel database based on the emotional profile. This process is designed to ensure that destinations, accommodations, activities, and transportation all match the emotional profile. The generated travel plan is then sent to the terminal and presented to the user.

[0236] Users can view the presented travel plan on their device and customize its contents. If the user makes changes, the device sends those changes back to the server, which updates the travel plan as needed.

[0237] As a concrete example, consider a scenario where a user enters "Barcelona" as their destination. The server generates and retrieves passionate flamenco music and classical guitar music associated with Barcelona. If the user's chosen music derives an emotional profile of "passion," the server suggests a plan that includes attending a flamenco show and a tour of historical buildings. The user can then further customize this plan to their liking.

[0238] In this way, the present invention provides an optimal travel plan that matches the user's emotions, making the travel selection process more emotional and personalized.

[0239] The following describes the processing flow.

[0240] Step 1:

[0241] The user enters the destination they wish to visit on their device. The device then sends this destination information to the server.

[0242] Step 2:

[0243] The server generates music data that expresses emotional elements based on the received destination information. In parallel, it retrieves relevant existing music data using APIs from external music distribution services.

[0244] Step 3:

[0245] The terminal presents the user with generated and retrieved music data sent from the server. The user listens to the provided music data and selects the music they like.

[0246] Step 4:

[0247] Based on the user's music selection, the device sends the selected music data to the server. The server analyzes the selected music data and generates an emotional profile.

[0248] Step 5:

[0249] The server uses the generated emotion profile to create a travel plan that matches the emotion from the corresponding travel database. Specifically, it selects tourist destinations, accommodations, activities, and so on.

[0250] Step 6:

[0251] The terminal displays a travel plan sent from the server to the user. The user reviews the plan and customizes its contents as needed.

[0252] Step 7:

[0253] When a user customizes their travel plan, the device sends those changes to the server. The server updates the travel plan based on the received changes and then provides the user with the final plan again.

[0254] (Example 1)

[0255] 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."

[0256] Traditional travel planning systems have struggled to personalize travel plans based on individual user emotions and preferences. As a result, users often fail to obtain travel experiences that align with their emotional needs, and the process of adjusting plans accordingly is time-consuming. Therefore, there is a need for a system that automatically generates and presents travel plans based on the user's emotional characteristics.

[0257] 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.

[0258] In this invention, the server includes means for receiving destination data, means for generating or acquiring musical information that expresses emotional elements, means for analyzing emotional characteristics based on the musical information, means for generating a travel plan based on the emotional characteristics, and means for displaying the travel plan. This makes it possible to personalize and present a travel plan based on the user's emotional profile.

[0259] "Destination data" refers to information about geographical locations that users want to visit.

[0260] "Musical information that expresses emotional elements" refers to information related to music designed to evoke or express specific emotions.

[0261] "Analyzing emotional characteristics" refers to the process of analyzing a user's emotional state and preferences from music information and identifying those characteristics.

[0262] "Generating a travel plan" refers to the process of creating a personalized itinerary by combining sightseeing activities, accommodations, transportation, and other elements based on the user's emotional characteristics.

[0263] "Displaying the travel plan" refers to visually presenting the details of the generated travel plan to the user.

[0264] In the system implementing this invention, the user first inputs destination data using a terminal. The destination data is information about the desired travel destination and serves as basic data for the system to perform subsequent processing. The destination data transmitted from the terminal is processed on the server.

[0265] After receiving destination data, the server applies sentiment analysis algorithms and AI models for music generation to generate or acquire musical information that expresses emotional elements. Specific software used includes sentiment analysis programs and APIs from external music distribution services, such as major music service providers. In this step, music is selected according to the user's intentions in order to collect musical information that reflects the user's individual emotional state.

[0266] Next, the user listens to music information on their device, and their emotional characteristics are analyzed based on the music they select. The analyzed emotional characteristics data supports the travel plan generation process on the server. In this process, the emotional characteristics data is analyzed and the most suitable sightseeing activities and accommodations are selected from the travel database. The generated travel plan is then presented to the user via their device.

[0267] For example, if a user enters "Barcelona" as their desired destination, the server will generate and retrieve passionate flamenco music associated with Barcelona. If the user selects this music, the server will analyze the emotional characteristic of "passion" and create a travel plan that includes attending flamenco shows and tours of historical buildings.

[0268] An example of a prompt to input into the generative AI model is as follows: "If the user's emotional profile is 'passionate,' please suggest a plan that provides a passionate travel experience in Barcelona."

[0269] This invention's system allows travelers to smoothly obtain personalized travel experiences tailored to their emotions.

[0270] The flow of the specific processing in Example 1 will be explained using Figure 11.

[0271] Step 1:

[0272] The user enters travel destination data using a terminal. The entered destination data, which includes geographical information about the travel destination, is sent from the terminal to the server. This allows the server to receive the basic data necessary to begin the next process.

[0273] Step 2:

[0274] The server generates musical information that expresses emotional elements based on the received destination data. The specific software used includes an emotion analysis algorithm and a music generation AI model, which generate emotional musical data related to the user's destination. The output of this process is the generated musical information.

[0275] Step 3:

[0276] The server accesses an external music service provider to retrieve music information relevant to the destination. It uses an external music database or distribution service API to collect existing music data. The resulting output is the retrieved music information.

[0277] Step 4:

[0278] The user listens to music information generated and retrieved on the device and selects their preferred music. This selection process reflects the user's emotional preferences. The device sends the selected music data back to the server, providing emotional data that reflects the user's preferences.

[0279] Step 5:

[0280] The server analyzes the selected music data and extracts emotional characteristics. Using emotion analysis software, it analyzes the emotional characteristics contained in the music and generates emotional characteristic data such as "relaxed" and "passionate". The output of this step is the analyzed emotional characteristic data.

[0281] Step 6:

[0282] Based on the analyzed emotional characteristic data, the server generates a travel plan. By searching the travel database and selecting tourist activities and accommodation facilities that match the emotional characteristics, an individualized travel plan is created. The output of this process is the generated travel plan.

[0283] Step 7:

[0284] The generated travel plan is sent from the server to the terminal and presented to the user. The user can view the travel plan and customize the plan content as needed. The changes made by the user are sent from the terminal to the server, and the travel plan is updated as needed. The final output is a travel plan optimized for the user.

[0285] (Application Example 1)

[0286] Next, Application Example 1 will be described. In the following description, the data processing device 12 is referred to as the "server", and the smart glasses 214 are referred to as the "terminal".

[0287] It is not easy to provide an individualized experience that matches the user's emotions and preferences in a travel plan. In particular, there are limited methods for leveraging the emotional elements of music to fit a travel plan to the user's emotions. Therefore, there is a need to propose a travel experience that users can truly enjoy.

[0288] The specific processing by the specific processing unit 290 of the data processing device 12 in Application Example 1 is realized by the following means.

[0289] In this invention, the server includes means for receiving destination information, means for generating or acquiring music data that expresses emotional elements, means for analyzing an emotional profile based on the music data, means for generating a travel plan based on the emotional profile, means for presenting the travel plan, means for updating the emotional profile and customizing the travel plan based on music selected by the user, and means for suggesting relevant cultural experiences and destinations using a generative AI model based on the generated emotional profile. This makes it possible to suggest personalized travel experiences that are tailored to the user's emotions and preferences.

[0290] "Destination information" refers to data about the geographical location that the user wishes to visit.

[0291] "Emotional elements" are attributes that describe the emotional states that music and other content evoke in humans.

[0292] "Music data" refers to digital data that can be played back as music, including emotional elements.

[0293] An "emotional profile" is information that indicates a user's emotional preferences, generated based on the music data selected by the user.

[0294] A "travel plan" is a plan that includes travel destinations, activities, and accommodation information, suggested based on the user's emotional profile.

[0295] "Customizing" means adjusting or changing the plan and data content according to the user's requests and choices.

[0296] A "generative AI model" is an artificial intelligence system trained using large datasets and used to generate content or predictions for specific tasks.

[0297] "To propose" means to present options and information to the user to help them make a decision.

[0298] The system implementing this invention aims to provide a personalized travel plan tailored to the user's emotions. The basic processing consists of acquiring destination information, generating and acquiring music data, analyzing the emotional profile, and generating and presenting a travel plan.

[0299] The server receives destination information entered by the user on the terminal. Based on this information, the server generates relevant music data or retrieves it from an external music distribution service. By utilizing external music data APIs in this process, it is possible to provide more specific and emotionally rich music. For example, one could consider using a "music API".

[0300] The acquired music data is analyzed for emotional elements using specialized analysis software, generating a user emotional profile. This process includes the use of the "Google Cloud Natural Language API." The analysis results are reflected in the user's emotional profile, identifying emotions such as "relaxed" or "excited."

[0301] Next, the server uses a generative AI model to create a travel plan based on the user's emotional profile. This process utilizes generative AI models such as "GPT-3" and includes tourist destinations, cultural experiences, and accommodations that fit the user's emotions. This plan is then sent to the terminal and presented to the user.

[0302] Users can customize their travel plans on their devices. When a user makes changes to the plan, the device sends that information back to the server, and the plan is updated as needed.

[0303] As a specific example, when the user inputs "Paris" as the destination, the server can obtain chanson and classical music, and propose a plan including a Seine River cruise and lunch at a café based on the user's "romantic" emotion profile. Using the prompt sentence "Please propose a travel plan to visit Paris in a romantic way. Please include recommended tourist attractions, activities, accommodation facilities, etc.", the AI model generates a travel plan.

[0304] In this way, the present invention can specifically provide a travel experience tailored to the user's emotions and make the travel selection process more individualized.

[0305] The flow of the specific process in Application Example 1 will be described using FIG. 12.

[0306] Step 1:

[0307] The user inputs destination information into the terminal. The terminal receives this input and transmits the destination information to the server. The data to be input is, for example, a place name such as "Paris", and the data in the request format sent to the server as output.

[0308] Step 2:

[0309] The server generates or obtains relevant music data based on the received destination information. Here, the music API is used to search for and obtain music related to the destination. The input is the destination information, and the output is a plurality of music data related to the destination.

[0310] Step 3:

[0311] The server passes the acquired music data to analysis software to analyze its emotional elements. Using the Google Cloud Natural Language API, it extracts the emotional profile of the music and generates a user emotional profile. The input is music data, and the output is an emotional profile such as "relaxed" or "excited."

[0312] Step 4:

[0313] The server uses a generative AI model to generate travel plans based on emotional profiles. Prompts are input to the AI ​​model, which then proposes travel plans that include tourist destinations, accommodations, and activities that match the user's emotions. The input is the emotional profile, and the output is the generated travel plan.

[0314] Step 5:

[0315] The terminal receives the travel plan sent from the server and presents it to the user. The user can review the plan and customize it by informing the server of any changes through the terminal. The input is the travel plan, and the output is the plan presented to the user.

[0316] Step 6:

[0317] The server receives customization information from the terminal and updates the travel plan accordingly. The recalculated data is sent back to the terminal and presented to the user as the final travel plan. In this step, the user's requested changes are the input, and the output is the updated travel plan.

[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] The system implementing this invention recognizes the user's emotional state using an emotion engine and proposes a personalized travel plan based on that. This makes it possible to provide a travel experience that matches the user's emotions.

[0320] First, the user enters the destination they wish to visit from their device. This destination information is sent from the device to the server. Based on the received destination information, the server generates or obtains music data that expresses emotional elements associated with that location from an external service. Subsequently, the device uses an emotion engine to measure the user's real-time emotional data. The emotion engine analyzes the user's facial expressions, voice, and other biometric data to identify their current emotional state.

[0321] By combining this emotional state with the music data presented to the user, the user selects a song that matches their emotions. This selection is sent from the device to the server, which then analyzes the selected music data in detail to generate an emotional profile.

[0322] The emotional profile reflects in detail the experiences and emotions a user desires from their trip. The server utilizes this emotional profile to generate specific travel plans from the travel database. These plans include destinations, accommodations, activities, and dining options that match the emotional profile.

[0323] Next, when the device presents the travel plan to the user, the emotion engine is used again to measure the user's reaction to the plan in real time. This allows for instant adaptation of the parts that interest the user most and any necessary adjustments.

[0324] As a concrete example, consider a scenario where the user sets "Kyoto" as their destination. The server generates or retrieves emotionally rich music related to art and traditional culture. The device utilizes an emotion engine to measure emotions such as "expectations," and the server generates a plan that includes temple visits and Zen experiences. The user can then review this travel plan in detail, customize it via the device if necessary, and receive the final plan.

[0325] In this way, the present invention aims to realize travel planning based on real-time emotion recognition of users, and to provide a more intuitive and emotionally resonant travel experience.

[0326] The following describes the processing flow.

[0327] Step 1:

[0328] The user enters their desired destination into the device. The destination information is then sent from the device to the server.

[0329] Step 2:

[0330] The server uses the received destination information to activate a generative AI model and generate music data with emotional elements associated with that location. Simultaneously, it retrieves existing music data through an external music service API.

[0331] Step 3:

[0332] The device presents the acquired music data to the user. During presentation, it utilizes an emotion engine to analyze the user's facial expressions and voice, recognizing their current emotions in real time.

[0333] Step 4:

[0334] The user listens to the provided music data and selects their favorite songs. The device sends this selection to the server. Based on the selected songs, the server creates an emotional profile that matches the user's mood.

[0335] Step 5:

[0336] The server generates a travel plan using the created emotional profile. It selects tourist destinations and activities suitable for the emotional profile from the travel database and constructs the plan.

[0337] Step 6:

[0338] The generated travel plan is sent to the device. The device presents the plan to the user. The emotion engine on the device activates again, measuring the user's reaction and evaluating whether the plan meets the user's expectations.

[0339] Step 7:

[0340] If the user reviews the plan and wishes to make adjustments as needed, they send a change request to the server via their device. The server then uses this information to reconstruct the plan and presents the final version to the user.

[0341] (Example 2)

[0342] 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".

[0343] To provide personalized travel experiences, it is necessary to generate travel plans based on the user's emotional state, but there has been no effective means to achieve this in real time. Therefore, there is a need for a system that appropriately reflects the user's current emotional state and provides travel plans that align with the user's interests and expectations.

[0344] 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.

[0345] In this invention, the server includes means for receiving information about places to visit, means for generating or acquiring music-related information that expresses emotional elements, and means for identifying the emotional state using the user's facial expressions, voice, and biometric information. This makes it possible to generate a travel plan that matches the user's emotions in real time, providing a more intuitive and personalized travel experience.

[0346] "Information about places you want to visit" refers to data about the geographical location selected by the user as their travel purpose.

[0347] "Music-related information that expresses emotional elements" refers to music data and related music information that are generated or acquired with the purpose of evoking specific emotions.

[0348] "User facial expressions, voice, and biometric information" refers to facial expressions, voice characteristics, and physiological data of the body collected to identify the user's emotional state.

[0349] "Identifying emotional states" is the process of analyzing a user's emotions and identifying states such as joy, sadness, and anticipation.

[0350] "Analyzing emotional characteristics" involves combining music-related information with the user's emotional state to evaluate the user's emotional preferences and tendencies.

[0351] A "travel plan" is a travel itinerary that includes destinations, accommodations, activities, and dining options, designed based on the user's interests and preferences.

[0352] "Measuring user responses in real time" means collecting and analyzing the user's reactions to the presented travel plan at that moment.

[0353] "External information sources" refer to data and services provided from outside the system, and are used to obtain music-related information.

[0354] The embodiment of the invention provides a system that personalizes travel plans based on the user's emotional state and presents them in real time. This system creates a more personal and emotionally resonant travel itinerary by transmitting, receiving, and processing data among the user, terminal, and server.

[0355] The user first uses a device to enter information about the place they want to visit. The device then acts as a transmitter, sending this information to the server.

[0356] The server generates music-related information that expresses emotional elements associated with the location, based on the received information about the visited place. This process may utilize AI models for music generation, and may also involve obtaining existing music data from external sources.

[0357] The device uses emotion analysis software to acquire the user's facial expressions, voice, and biometric information in real time, thereby identifying the user's current emotional state. This identified emotion data is sent to a server, where it is combined with music-related information to analyze emotional characteristics.

[0358] The specific technology utilizes the emotion analysis software "Emotion Analyzer Pro," and music generation is handled by "Music Generation AI." Based on the emotional profile generated in this way, the server creates a travel plan. The plan includes tourist destinations, accommodations, and various activities that are suited to the user's emotional state.

[0359] When a travel plan is presented to the device, it performs sentiment analysis again, collecting user responses in real time. This process allows for quick responses to the parts that interest the user most and any necessary adjustments.

[0360] As a concrete example, consider a case where a user chooses Kyoto as their travel destination because they want to "experience historical culture." In this case, the server generates music related to traditional culture and, based on emotional data from the device, plans activities that align with the user's emotions, such as visiting temples and shrines or experiencing Zen meditation.

[0361] An example of a prompt message for this system could be: "Use the user's emotional data and information about the selected destination to suggest a travel plan that matches their emotions." This configuration allows users to have a more empathetic and personal travel experience.

[0362] The flow of the specific processing in Example 2 will be explained using Figure 13.

[0363] Step 1:

[0364] The user enters information about the place they wish to visit using their device. This input is done via a touch interface on the screen, etc. The location information entered by the user is sent to the device. Based on this input information, the following processing is performed.

[0365] Step 2:

[0366] The device sends location information from the user to the server. The server receives the HTTP request and analyzes the location data. The data obtained from this analysis is stored on the server as basic information necessary for the next step in music generation.

[0367] Step 3:

[0368] The server uses a product database and AI modules to generate music-related information that expresses emotional elements associated with a location. A generative AI model is used to select music themes based on relevant keywords and characteristics. This generates music-related information, which is then used for subsequent sentiment analysis.

[0369] Step 4:

[0370] The device uses emotion analysis software to measure the user's emotional state in real time. Facial expressions and voice data input from the camera and microphone are processed by the emotion analysis engine to identify the user's current emotional state. The identified emotional data is then reported to the device.

[0371] Step 5:

[0372] The user listens to music presented on the device and interacts with it. For example, facial expressions are detected during music playback, and these reactions are recorded on the device as new emotional data. This information is then sent to a server and used for analyzing emotional characteristics.

[0373] Step 6:

[0374] The server analyzes emotional characteristics based on music-related information and the emotional state received from the user. An AI module is used for the analysis to evaluate the user's emotional preferences and tendencies. The emotional profile generated from this evaluation is then used to create the next travel plan.

[0375] Step 7:

[0376] The server generates a travel plan based on the generated emotional profile. Using the "Travel Planning System," a travel plan is created that includes tourist destinations, accommodations, and activities tailored to the user's emotions. This plan is then ready to be sent to the device.

[0377] Step 8:

[0378] The terminal presents the user with a travel plan sent from the server. A detailed plan is displayed through the user interface, and the user provides feedback. If necessary, the user can adjust the plan through the terminal and finalize it.

[0379] Step 9:

[0380] After the final plan is decided, the device connects with the server to ensure the plan is saved and shared. The final travel plan is provided to the user in a format such as PDF to support travel preparations.

[0381] (Application Example 2)

[0382] 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."

[0383] In modern travel planning, there is a growing demand for experiences and travel plans that align with one's emotional state. However, traditional travel plans are fixed and difficult to customize to the individual emotions of users. Furthermore, there have been limited means of using virtual reality technology to provide users with immersive experiences that resonate with their emotions.

[0384] 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.

[0385] In this invention, the server includes means for acquiring destination information, means for generating or acquiring musical information that expresses emotional elements, and means for providing virtual reality content. This makes it possible to create variable travel plans according to the user's emotional state and to provide a virtual reality experience that is in harmony with those emotions.

[0386] "Destination information" refers to data about places that users want to visit.

[0387] "Emotional elements" are elements that express the user's emotional state through music and content.

[0388] "Music information" refers to music data used to express emotional elements.

[0389] "Emotional description" refers to detailed information about a user's emotional state, analyzed based on music data.

[0390] A "travel plan" is a plan that combines tourist destinations and activities, created based on the user's emotional description.

[0391] "Virtual reality content" refers to content that includes visual and auditory information experienced by users in a virtual environment.

[0392] The system implementing this invention consists of multiple components to provide a travel plan customized according to the user's emotional state. Specifically, it includes a server, a terminal, an emotion engine, a music information generation device, and a virtual reality content provision device.

[0393] The server first receives destination information entered by the user from their terminal. This destination information is entered in text format and sent to the server via the internet. The server generates music information that expresses emotional elements related to the user's specified destination, and can also obtain music information from external music services. This utilizes APIs from music streaming services and generative AI models.

[0394] Next, the device uses an emotion engine to measure the user's real-time emotional state. This emotion engine generates an emotion description by analyzing the user's facial expressions with a camera and their voice with a microphone. The collected emotional data is processed using data analysis tools in the cloud.

[0395] The server creates a travel plan based on the emotion descriptions obtained. This travel plan includes tourist destinations and activities that match the user's emotions. This plan is represented as virtual reality content and delivered to the user through a virtual reality headset. Through this virtual reality experience, the user can visually experience the planned trip.

[0396] For example, if a user sets "Kyoto" as their destination and seeks a relaxing experience, the server will generate a travel plan themed around temples, shrines, and natural landscapes, and then provide that experience in virtual reality. In this process, the content is optimized using a generative AI model by setting prompts such as, "I want to relax today. Please suggest what kind of experiences I can have in Kyoto."

[0397] The flow of a specific process in Application Example 2 will be explained using Figure 14.

[0398] Step 1:

[0399] The user enters destination information in text format using their device. This information is sent to the server via the internet. The entered destination information is output as data used in the next step to generate music information.

[0400] Step 2:

[0401] The server generates music information that expresses emotional elements associated with a location, based on destination information received from the user. It also retrieves music information from external music services as needed. In this process, it uses generative AI models and music streaming APIs to process the data and output music information that is relevant to the target audience.

[0402] Step 3:

[0403] The device activates an emotion engine to measure the user's emotional state in real time. Specifically, it analyzes the user's facial expressions using a camera and analyzes their voice tone using a microphone. The emotional data obtained from this analysis is output as an emotion description and sent to the server.

[0404] Step 4:

[0405] The server receives the user's emotion description and generates a travel plan based on it. The system combines the emotion description with musical information to perform calculations, selecting appropriate tourist destinations and activities for the travel plan. As a result, the system outputs a customized travel plan.

[0406] Step 5:

[0407] The server converts the generated travel plan into virtual reality content and presents it to the user through a virtual reality headset. The virtual reality content generated by the data conversion is output, and the user can use this content to gain a visual experience.

[0408] Step 6:

[0409] Through the virtual reality experience, users evaluate whether the selected travel plan matches their emotions and, if necessary, send feedback to the server via their device. This feedback is stored as reference data for generating future plans.

[0410] 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.

[0411] 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.

[0412] 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.

[0413] [Third Embodiment]

[0414] Figure 5 shows an example of the configuration of the data processing system 310 according to the third embodiment.

[0415] 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.

[0416] 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).

[0417] 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.

[0418] 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.

[0419] 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).

[0420] 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.

[0421] 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.

[0422] 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.

[0423] 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.

[0424] 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.

[0425] 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".

[0426] The system implementing this invention provides users with a personalized travel experience by suggesting travel plans based on their emotions.

[0427] First, the user enters their desired destination on the device. The device then sends this destination information to the server. Upon receiving the destination information, the server generates music data that reflects emotional elements. Furthermore, the server uses an external music distribution service to obtain music data related to that location. This allows the server to provide both generated music and existing music.

[0428] The user listens to music data provided on their device and selects the music they like. Based on this selection, the device sends the music data back to the server. The server analyzes the music data, extracts the emotional elements of the music, and creates an emotional profile. This emotional profile is used to identify emotions such as "relaxation" or "excitement."

[0429] Next, the server searches and generates a relevant travel plan from the travel database based on the emotional profile. This process is designed to ensure that destinations, accommodations, activities, and transportation all match the emotional profile. The generated travel plan is then sent to the terminal and presented to the user.

[0430] Users can view the presented travel plan on their device and customize its contents. If the user makes changes, the device sends those changes back to the server, which updates the travel plan as needed.

[0431] As a concrete example, consider a scenario where a user enters "Barcelona" as their destination. The server generates and retrieves passionate flamenco music and classical guitar music associated with Barcelona. If the user's chosen music derives an emotional profile of "passion," the server suggests a plan that includes attending a flamenco show and a tour of historical buildings. The user can then further customize this plan to their liking.

[0432] In this way, the present invention provides an optimal travel plan that matches the user's emotions, making the travel selection process more emotional and personalized.

[0433] The following describes the processing flow.

[0434] Step 1:

[0435] The user enters the destination they wish to visit on their device. The device then sends this destination information to the server.

[0436] Step 2:

[0437] The server generates music data that expresses emotional elements based on the received destination information. In parallel, it retrieves relevant existing music data using APIs from external music distribution services.

[0438] Step 3:

[0439] The terminal presents the user with generated and retrieved music data sent from the server. The user listens to the provided music data and selects the music they like.

[0440] Step 4:

[0441] Based on the user's music selection, the device sends the selected music data to the server. The server analyzes the selected music data and generates an emotional profile.

[0442] Step 5:

[0443] The server uses the generated emotion profile to create a travel plan that matches the emotion from the corresponding travel database. Specifically, it selects tourist destinations, accommodations, activities, and so on.

[0444] Step 6:

[0445] The terminal displays a travel plan sent from the server to the user. The user reviews the plan and customizes its contents as needed.

[0446] Step 7:

[0447] When a user customizes their travel plan, the device sends those changes to the server. The server updates the travel plan based on the received changes and then provides the user with the final plan again.

[0448] (Example 1)

[0449] 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."

[0450] Traditional travel planning systems have struggled to personalize travel plans based on individual user emotions and preferences. As a result, users often fail to obtain travel experiences that align with their emotional needs, and the process of adjusting plans accordingly is time-consuming. Therefore, there is a need for a system that automatically generates and presents travel plans based on the user's emotional characteristics.

[0451] 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.

[0452] In this invention, the server includes means for receiving destination data, means for generating or acquiring musical information that expresses emotional elements, means for analyzing emotional characteristics based on the musical information, means for generating a travel plan based on the emotional characteristics, and means for displaying the travel plan. This makes it possible to personalize and present a travel plan based on the user's emotional profile.

[0453] "Destination data" refers to information about geographical locations that users want to visit.

[0454] "Musical information that expresses emotional elements" refers to information related to music designed to evoke or express specific emotions.

[0455] "Analyzing emotional characteristics" refers to the process of analyzing a user's emotional state and preferences from music information and identifying those characteristics.

[0456] "Generating a travel plan" refers to the process of creating a personalized itinerary by combining sightseeing activities, accommodations, transportation, and other elements based on the user's emotional characteristics.

[0457] "Displaying the travel plan" refers to visually presenting the details of the generated travel plan to the user.

[0458] In the system implementing this invention, the user first inputs destination data using a terminal. The destination data is information about the desired travel destination and serves as basic data for the system to perform subsequent processing. The destination data transmitted from the terminal is processed on the server.

[0459] After receiving destination data, the server applies sentiment analysis algorithms and AI models for music generation to generate or acquire musical information that expresses emotional elements. Specific software used includes sentiment analysis programs and APIs from external music distribution services, such as major music service providers. In this step, music is selected according to the user's intentions in order to collect musical information that reflects the user's individual emotional state.

[0460] Next, the user listens to music information on their device, and their emotional characteristics are analyzed based on the music they select. The analyzed emotional characteristics data supports the travel plan generation process on the server. In this process, the emotional characteristics data is analyzed and the most suitable sightseeing activities and accommodations are selected from the travel database. The generated travel plan is then presented to the user via their device.

[0461] For example, if a user enters "Barcelona" as their desired destination, the server will generate and retrieve passionate flamenco music associated with Barcelona. If the user selects this music, the server will analyze the emotional characteristic of "passion" and create a travel plan that includes attending flamenco shows and tours of historical buildings.

[0462] An example of a prompt to input into the generative AI model is as follows: "If the user's emotional profile is 'passionate,' please suggest a plan that provides a passionate travel experience in Barcelona."

[0463] This invention's system allows travelers to smoothly obtain personalized travel experiences tailored to their emotions.

[0464] The flow of the specific processing in Example 1 will be explained using Figure 11.

[0465] Step 1:

[0466] The user enters travel destination data using a terminal. The entered destination data, which includes geographical information about the travel destination, is sent from the terminal to the server. This allows the server to receive the basic data necessary to begin the next process.

[0467] Step 2:

[0468] The server generates musical information that expresses emotional elements based on the received destination data. The specific software used includes an emotion analysis algorithm and a music generation AI model, which generate emotional musical data related to the user's destination. The output of this process is the generated musical information.

[0469] Step 3:

[0470] The server accesses an external music service provider to retrieve music information relevant to the destination. It uses an external music database or distribution service API to collect existing music data. The resulting output is the retrieved music information.

[0471] Step 4:

[0472] The user listens to music information generated and retrieved on the device and selects their preferred music. This selection process reflects the user's emotional preferences. The device sends the selected music data back to the server, providing emotional data that reflects the user's preferences.

[0473] Step 5:

[0474] The server analyzes the selected music data and extracts emotional characteristics. Using emotion analysis software, it analyzes the emotional characteristics contained in the music and generates emotional characteristic data such as "relaxing" and "passionate." The output of this step is the analyzed emotional characteristic data.

[0475] Step 6:

[0476] The server generates a travel plan based on the analyzed emotional traits data. It creates a personalized travel plan by searching a travel database and selecting sightseeing activities and accommodations that match the emotional traits. The output of this process is the generated travel plan.

[0477] Step 7:

[0478] The generated travel plan is sent from the server to the terminal and presented to the user. The user can review the travel plan and customize its contents as needed. Any changes made by the user are sent from the terminal to the server, and the travel plan is updated as necessary. The final output is a travel plan optimized for the user.

[0479] (Application Example 1)

[0480] 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."

[0481] Providing personalized travel experiences tailored to users' emotions and preferences is not easy. In particular, there are limited methods for leveraging the emotional elements of music to align travel plans with users' feelings. Therefore, there is a need to propose travel experiences that users can truly enjoy.

[0482] 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.

[0483] In this invention, the server includes means for receiving destination information, means for generating or acquiring music data that expresses emotional elements, means for analyzing an emotional profile based on the music data, means for generating a travel plan based on the emotional profile, means for presenting the travel plan, means for updating the emotional profile and customizing the travel plan based on music selected by the user, and means for suggesting relevant cultural experiences and destinations using a generative AI model based on the generated emotional profile. This makes it possible to suggest personalized travel experiences that are tailored to the user's emotions and preferences.

[0484] "Destination information" refers to data about the geographical location that the user wishes to visit.

[0485] "Emotional elements" are attributes that describe the emotional states that music and other content evoke in humans.

[0486] "Music data" refers to digital data that can be played back as music, including emotional elements.

[0487] An "emotional profile" is information that indicates a user's emotional preferences, generated based on the music data selected by the user.

[0488] A "travel plan" is a plan that includes travel destinations, activities, and accommodation information, suggested based on the user's emotional profile.

[0489] "Customizing" means adjusting or changing the plan and data content according to the user's requests and choices.

[0490] A "generative AI model" is an artificial intelligence system trained using large datasets and used to generate content or predictions for specific tasks.

[0491] "To propose" means to present options and information to the user to help them make a decision.

[0492] The system implementing this invention aims to provide a personalized travel plan tailored to the user's emotions. The basic processing consists of acquiring destination information, generating and acquiring music data, analyzing the emotional profile, and generating and presenting a travel plan.

[0493] The server receives destination information entered by the user on the terminal. Based on this information, the server generates relevant music data or retrieves it from an external music distribution service. By utilizing external music data APIs in this process, it is possible to provide more specific and emotionally rich music. For example, one could consider using a "music API".

[0494] The acquired music data is analyzed for emotional elements using specialized analysis software, generating a user emotional profile. This process includes the use of the "Google Cloud Natural Language API." The analysis results are reflected in the user's emotional profile, identifying emotions such as "relaxed" or "excited."

[0495] Next, the server uses a generative AI model to create a travel plan based on the user's emotional profile. This process utilizes generative AI models such as "GPT-3" and includes tourist destinations, cultural experiences, and accommodations that fit the user's emotions. This plan is then sent to the terminal and presented to the user.

[0496] Users can customize their travel plans on their devices. When a user makes changes to the plan, the device sends that information back to the server, and the plan is updated as needed.

[0497] For example, if a user enters "Paris" as their destination, the server can retrieve chansons and classical music, and based on the user's emotional profile of "romantic," it can suggest a plan that includes a Seine River cruise and lunch at a cafe. The AI ​​model generates the travel plan using a prompt such as, "Please suggest a romantic travel plan to visit Paris. Please include recommended sights, activities, and accommodations."

[0498] In this way, the present invention can specifically provide a travel experience tailored to the user's emotions and make the travel selection process more personalized.

[0499] The flow of a specific process in Application Example 1 will be explained using Figure 12.

[0500] Step 1:

[0501] The user enters destination information into the terminal. The terminal receives this input and sends the destination information to the server. The input data is a place name, such as "Paris," and is sent to the server as request data.

[0502] Step 2:

[0503] The server generates or retrieves relevant music data from an external service based on the received destination information. Here, a music API is used to search for and retrieve music related to the destination. The input is destination information, and the output is multiple music data related to that destination.

[0504] Step 3:

[0505] The server passes the acquired music data to analysis software to analyze its emotional elements. Using the Google Cloud Natural Language API, it extracts the emotional profile of the music and generates a user emotional profile. The input is music data, and the output is an emotional profile such as "relaxed" or "excited."

[0506] Step 4:

[0507] The server uses a generative AI model to generate travel plans based on emotional profiles. Prompts are input to the AI ​​model, which then proposes travel plans that include tourist destinations, accommodations, and activities that match the user's emotions. The input is the emotional profile, and the output is the generated travel plan.

[0508] Step 5:

[0509] The terminal receives the travel plan sent from the server and presents it to the user. The user can review the plan and customize it by informing the server of any changes through the terminal. The input is the travel plan, and the output is the plan presented to the user.

[0510] Step 6:

[0511] The server receives customization information from the terminal and updates the travel plan accordingly. The recalculated data is sent back to the terminal and presented to the user as the final travel plan. In this step, the user's requested changes are the input, and the output is the updated travel plan.

[0512] 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.

[0513] The system implementing this invention recognizes the user's emotional state using an emotion engine and proposes a personalized travel plan based on that. This makes it possible to provide a travel experience that matches the user's emotions.

[0514] First, the user enters the destination they wish to visit from their device. This destination information is sent from the device to the server. Based on the received destination information, the server generates or obtains music data that expresses emotional elements associated with that location from an external service. Subsequently, the device uses an emotion engine to measure the user's real-time emotional data. The emotion engine analyzes the user's facial expressions, voice, and other biometric data to identify their current emotional state.

[0515] By combining this emotional state with the music data presented to the user, the user selects a song that matches their emotions. This selection is sent from the device to the server, which then analyzes the selected music data in detail to generate an emotional profile.

[0516] The emotional profile reflects in detail the experiences and emotions a user desires from their trip. The server utilizes this emotional profile to generate specific travel plans from the travel database. These plans include destinations, accommodations, activities, and dining options that match the emotional profile.

[0517] Next, when the device presents the travel plan to the user, the emotion engine is used again to measure the user's reaction to the plan in real time. This allows for instant adaptation of the parts that interest the user most and any necessary adjustments.

[0518] As a concrete example, consider a scenario where the user sets "Kyoto" as their destination. The server generates or retrieves emotionally rich music related to art and traditional culture. The device utilizes an emotion engine to measure emotions such as "expectations," and the server generates a plan that includes temple visits and Zen experiences. The user can then review this travel plan in detail, customize it via the device if necessary, and receive the final plan.

[0519] In this way, the present invention aims to realize travel planning based on real-time emotion recognition of users, and to provide a more intuitive and emotionally resonant travel experience.

[0520] The following describes the processing flow.

[0521] Step 1:

[0522] The user enters their desired destination into the device. The destination information is then sent from the device to the server.

[0523] Step 2:

[0524] The server uses the received destination information to activate a generative AI model and generate music data with emotional elements associated with that location. Simultaneously, it retrieves existing music data through an external music service API.

[0525] Step 3:

[0526] The device presents the acquired music data to the user. During presentation, it utilizes an emotion engine to analyze the user's facial expressions and voice, recognizing their current emotions in real time.

[0527] Step 4:

[0528] The user listens to the provided music data and selects their favorite songs. The device sends this selection to the server. Based on the selected songs, the server creates an emotional profile that matches the user's mood.

[0529] Step 5:

[0530] The server generates a travel plan using the created emotional profile. It selects tourist destinations and activities suitable for the emotional profile from the travel database and constructs the plan.

[0531] Step 6:

[0532] The generated travel plan is sent to the device. The device presents the plan to the user. The emotion engine on the device activates again, measuring the user's reaction and evaluating whether the plan meets the user's expectations.

[0533] Step 7:

[0534] If the user reviews the plan and wishes to make adjustments as needed, they send a change request to the server via their device. The server then uses this information to reconstruct the plan and presents the final version to the user.

[0535] (Example 2)

[0536] 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."

[0537] To provide personalized travel experiences, it is necessary to generate travel plans based on the user's emotional state, but there has been no effective means to achieve this in real time. Therefore, there is a need for a system that appropriately reflects the user's current emotional state and provides travel plans that align with the user's interests and expectations.

[0538] 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.

[0539] In this invention, the server includes means for receiving information about places to visit, means for generating or acquiring music-related information that expresses emotional elements, and means for identifying the emotional state using the user's facial expressions, voice, and biometric information. This makes it possible to generate a travel plan that matches the user's emotions in real time, providing a more intuitive and personalized travel experience.

[0540] "Information about places you want to visit" refers to data about the geographical location selected by the user as their travel purpose.

[0541] "Music-related information that expresses emotional elements" refers to music data and related music information that are generated or acquired with the purpose of evoking specific emotions.

[0542] "User facial expressions, voice, and biometric information" refers to facial expressions, voice characteristics, and physiological data of the body collected to identify the user's emotional state.

[0543] "Identifying emotional states" is the process of analyzing a user's emotions and identifying states such as joy, sadness, and anticipation.

[0544] "Analyzing emotional characteristics" involves combining music-related information with the user's emotional state to evaluate the user's emotional preferences and tendencies.

[0545] A "travel plan" is a travel itinerary that includes destinations, accommodations, activities, and dining options, designed based on the user's interests and preferences.

[0546] "Measuring user responses in real time" means collecting and analyzing the user's reactions to the presented travel plan at that moment.

[0547] "External information sources" refer to data and services provided from outside the system, and are used to obtain music-related information.

[0548] The embodiment of the invention provides a system that personalizes travel plans based on the user's emotional state and presents them in real time. This system creates a more personal and emotionally resonant travel itinerary by transmitting, receiving, and processing data among the user, terminal, and server.

[0549] The user first uses a device to enter information about the place they want to visit. The device then acts as a transmitter, sending this information to the server.

[0550] The server generates music-related information that expresses emotional elements associated with the location, based on the received information about the visited place. This process may utilize AI models for music generation, and may also involve obtaining existing music data from external sources.

[0551] The device uses emotion analysis software to acquire the user's facial expressions, voice, and biometric information in real time, thereby identifying the user's current emotional state. This identified emotion data is sent to a server, where it is combined with music-related information to analyze emotional characteristics.

[0552] The specific technology utilizes the emotion analysis software "Emotion Analyzer Pro," and music generation is handled by "Music Generation AI." Based on the emotional profile generated in this way, the server creates a travel plan. The plan includes tourist destinations, accommodations, and various activities that are suited to the user's emotional state.

[0553] When a travel plan is presented to the device, it performs sentiment analysis again, collecting user responses in real time. This process allows for quick responses to the parts that interest the user most and any necessary adjustments.

[0554] As a concrete example, consider a case where a user chooses Kyoto as their travel destination because they want to "experience historical culture." In this case, the server generates music related to traditional culture and, based on emotional data from the device, plans activities that align with the user's emotions, such as visiting temples and shrines or experiencing Zen meditation.

[0555] An example of a prompt message for this system could be: "Use the user's emotional data and information about the selected destination to suggest a travel plan that matches their emotions." This configuration allows users to have a more empathetic and personal travel experience.

[0556] The flow of the specific processing in Example 2 will be explained using Figure 13.

[0557] Step 1:

[0558] The user enters information about the place they wish to visit using their device. This input is done via a touch interface on the screen, etc. The location information entered by the user is sent to the device. Based on this input information, the following processing is performed.

[0559] Step 2:

[0560] The device sends location information from the user to the server. The server receives the HTTP request and analyzes the location data. The data obtained from this analysis is stored on the server as basic information necessary for the next step in music generation.

[0561] Step 3:

[0562] The server uses a product database and AI modules to generate music-related information that expresses emotional elements associated with a location. A generative AI model is used to select music themes based on relevant keywords and characteristics. This generates music-related information, which is then used for subsequent sentiment analysis.

[0563] Step 4:

[0564] The device uses emotion analysis software to measure the user's emotional state in real time. Facial expressions and voice data input from the camera and microphone are processed by the emotion analysis engine to identify the user's current emotional state. The identified emotional data is then reported to the device.

[0565] Step 5:

[0566] The user listens to music presented on the device and interacts with it. For example, facial expressions are detected during music playback, and these reactions are recorded on the device as new emotional data. This information is then sent to a server and used for analyzing emotional characteristics.

[0567] Step 6:

[0568] The server analyzes emotional characteristics based on music-related information and the emotional state received from the user. An AI module is used for the analysis to evaluate the user's emotional preferences and tendencies. The emotional profile generated from this evaluation is then used to create the next travel plan.

[0569] Step 7:

[0570] The server generates a travel plan based on the generated emotional profile. Using the "Travel Planning System," a travel plan is created that includes tourist destinations, accommodations, and activities tailored to the user's emotions. This plan is then ready to be sent to the device.

[0571] Step 8:

[0572] The terminal presents the user with a travel plan sent from the server. A detailed plan is displayed through the user interface, and the user provides feedback. If necessary, the user can adjust the plan through the terminal and finalize it.

[0573] Step 9:

[0574] After the final plan is decided, the device connects with the server to ensure the plan is saved and shared. The final travel plan is provided to the user in a format such as PDF to support travel preparations.

[0575] (Application Example 2)

[0576] 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."

[0577] In modern travel planning, there is a growing demand for experiences and travel plans that align with one's emotional state. However, traditional travel plans are fixed and difficult to customize to the individual emotions of users. Furthermore, there have been limited means of using virtual reality technology to provide users with immersive experiences that resonate with their emotions.

[0578] 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.

[0579] In this invention, the server includes means for acquiring destination information, means for generating or acquiring musical information that expresses emotional elements, and means for providing virtual reality content. This makes it possible to create variable travel plans according to the user's emotional state and to provide a virtual reality experience that is in harmony with those emotions.

[0580] "Destination information" refers to data about places that users want to visit.

[0581] "Emotional elements" are elements that express the user's emotional state through music and content.

[0582] "Music information" refers to music data used to express emotional elements.

[0583] "Emotional description" refers to detailed information about a user's emotional state, analyzed based on music data.

[0584] A "travel plan" is a plan that combines tourist destinations and activities, created based on the user's emotional description.

[0585] "Virtual reality content" refers to content that includes visual and auditory information experienced by users in a virtual environment.

[0586] The system implementing this invention consists of multiple components to provide a travel plan customized according to the user's emotional state. Specifically, it includes a server, a terminal, an emotion engine, a music information generation device, and a virtual reality content provision device.

[0587] The server first receives destination information entered by the user from their terminal. This destination information is entered in text format and sent to the server via the internet. The server generates music information that expresses emotional elements related to the user's specified destination, and can also obtain music information from external music services. This utilizes APIs from music streaming services and generative AI models.

[0588] Next, the device uses an emotion engine to measure the user's real-time emotional state. This emotion engine generates an emotion description by analyzing the user's facial expressions with a camera and their voice with a microphone. The collected emotional data is processed using data analysis tools in the cloud.

[0589] The server creates a travel plan based on the emotion descriptions obtained. This travel plan includes tourist destinations and activities that match the user's emotions. This plan is represented as virtual reality content and delivered to the user through a virtual reality headset. Through this virtual reality experience, the user can visually experience the planned trip.

[0590] For example, if a user sets "Kyoto" as their destination and seeks a relaxing experience, the server will generate a travel plan themed around temples, shrines, and natural landscapes, and then provide that experience in virtual reality. In this process, the content is optimized using a generative AI model by setting prompts such as, "I want to relax today. Please suggest what kind of experiences I can have in Kyoto."

[0591] The flow of a specific process in Application Example 2 will be explained using Figure 14.

[0592] Step 1:

[0593] The user enters destination information in text format using their device. This information is sent to the server via the internet. The entered destination information is output as data used in the next step to generate music information.

[0594] Step 2:

[0595] The server generates music information that expresses emotional elements associated with a location, based on destination information received from the user. It also retrieves music information from external music services as needed. In this process, it uses generative AI models and music streaming APIs to process the data and output music information that is relevant to the target audience.

[0596] Step 3:

[0597] The device activates an emotion engine to measure the user's emotional state in real time. Specifically, it analyzes the user's facial expressions using a camera and analyzes their voice tone using a microphone. The emotional data obtained from this analysis is output as an emotion description and sent to the server.

[0598] Step 4:

[0599] The server receives the user's emotion description and generates a travel plan based on it. The system combines the emotion description with musical information to perform calculations, selecting appropriate tourist destinations and activities for the travel plan. As a result, the system outputs a customized travel plan.

[0600] Step 5:

[0601] The server converts the generated travel plan into virtual reality content and presents it to the user through a virtual reality headset. The virtual reality content generated by the data conversion is output, and the user can use this content to gain a visual experience.

[0602] Step 6:

[0603] Through the virtual reality experience, users evaluate whether the selected travel plan matches their emotions and, if necessary, send feedback to the server via their device. This feedback is stored as reference data for generating future plans.

[0604] 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.

[0605] 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.

[0606] 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.

[0607] [Fourth Embodiment]

[0608] Figure 7 shows an example of the configuration of the data processing system 410 according to the fourth embodiment.

[0609] 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.

[0610] 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).

[0611] 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.

[0612] 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.

[0613] 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).

[0614] 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.

[0615] 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.

[0616] 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.

[0617] 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.

[0618] 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.

[0619] 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.

[0620] 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".

[0621] The system implementing this invention provides users with a personalized travel experience by suggesting travel plans based on their emotions.

[0622] First, the user enters their desired destination on the device. The device then sends this destination information to the server. Upon receiving the destination information, the server generates music data that reflects emotional elements. Furthermore, the server uses an external music distribution service to obtain music data related to that location. This allows the server to provide both generated music and existing music.

[0623] The user listens to music data provided on their device and selects the music they like. Based on this selection, the device sends the music data back to the server. The server analyzes the music data, extracts the emotional elements of the music, and creates an emotional profile. This emotional profile is used to identify emotions such as "relaxation" or "excitement."

[0624] Next, the server searches and generates a relevant travel plan from the travel database based on the emotional profile. This process is designed to ensure that destinations, accommodations, activities, and transportation all match the emotional profile. The generated travel plan is then sent to the terminal and presented to the user.

[0625] Users can view the presented travel plan on their device and customize its contents. If the user makes changes, the device sends those changes back to the server, which updates the travel plan as needed.

[0626] As a concrete example, consider a scenario where a user enters "Barcelona" as their destination. The server generates and retrieves passionate flamenco music and classical guitar music associated with Barcelona. If the user's chosen music derives an emotional profile of "passion," the server suggests a plan that includes attending a flamenco show and a tour of historical buildings. The user can then further customize this plan to their liking.

[0627] In this way, the present invention provides an optimal travel plan that matches the user's emotions, making the travel selection process more emotional and personalized.

[0628] The following describes the processing flow.

[0629] Step 1:

[0630] The user enters the destination they wish to visit on their device. The device then sends this destination information to the server.

[0631] Step 2:

[0632] The server generates music data that expresses emotional elements based on the received destination information. In parallel, it retrieves relevant existing music data using APIs from external music distribution services.

[0633] Step 3:

[0634] The terminal presents the user with generated and retrieved music data sent from the server. The user listens to the provided music data and selects the music they like.

[0635] Step 4:

[0636] Based on the user's music selection, the device sends the selected music data to the server. The server analyzes the selected music data and generates an emotional profile.

[0637] Step 5:

[0638] The server uses the generated emotion profile to create a travel plan that matches the emotion from the corresponding travel database. Specifically, it selects tourist destinations, accommodations, activities, and so on.

[0639] Step 6:

[0640] The terminal displays a travel plan sent from the server to the user. The user reviews the plan and customizes its contents as needed.

[0641] Step 7:

[0642] When a user customizes their travel plan, the device sends those changes to the server. The server updates the travel plan based on the received changes and then provides the user with the final plan again.

[0643] (Example 1)

[0644] 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".

[0645] Traditional travel planning systems have struggled to personalize travel plans based on individual user emotions and preferences. As a result, users often fail to obtain travel experiences that align with their emotional needs, and the process of adjusting plans accordingly is time-consuming. Therefore, there is a need for a system that automatically generates and presents travel plans based on the user's emotional characteristics.

[0646] 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.

[0647] In this invention, the server includes means for receiving destination data, means for generating or acquiring musical information that expresses emotional elements, means for analyzing emotional characteristics based on the musical information, means for generating a travel plan based on the emotional characteristics, and means for displaying the travel plan. This makes it possible to personalize and present a travel plan based on the user's emotional profile.

[0648] "Destination data" refers to information about geographical locations that users want to visit.

[0649] "Musical information that expresses emotional elements" refers to information related to music designed to evoke or express specific emotions.

[0650] "Analyzing emotional characteristics" refers to the process of analyzing a user's emotional state and preferences from music information and identifying those characteristics.

[0651] "Generating a travel plan" refers to the process of creating a personalized itinerary by combining sightseeing activities, accommodations, transportation, and other elements based on the user's emotional characteristics.

[0652] "Displaying the travel plan" refers to visually presenting the details of the generated travel plan to the user.

[0653] In the system implementing this invention, the user first inputs destination data using a terminal. The destination data is information about the desired travel destination and serves as basic data for the system to perform subsequent processing. The destination data transmitted from the terminal is processed on the server.

[0654] After receiving destination data, the server applies sentiment analysis algorithms and AI models for music generation to generate or acquire musical information that expresses emotional elements. Specific software used includes sentiment analysis programs and APIs from external music distribution services, such as major music service providers. In this step, music is selected according to the user's intentions in order to collect musical information that reflects the user's individual emotional state.

[0655] Next, the user listens to music information on their device, and their emotional characteristics are analyzed based on the music they select. The analyzed emotional characteristics data supports the travel plan generation process on the server. In this process, the emotional characteristics data is analyzed and the most suitable sightseeing activities and accommodations are selected from the travel database. The generated travel plan is then presented to the user via their device.

[0656] For example, if a user enters "Barcelona" as their desired destination, the server will generate and retrieve passionate flamenco music associated with Barcelona. If the user selects this music, the server will analyze the emotional characteristic of "passion" and create a travel plan that includes attending flamenco shows and tours of historical buildings.

[0657] An example of a prompt to input into the generative AI model is as follows: "If the user's emotional profile is 'passionate,' please suggest a plan that provides a passionate travel experience in Barcelona."

[0658] This invention's system allows travelers to smoothly obtain personalized travel experiences tailored to their emotions.

[0659] The flow of the specific processing in Example 1 will be explained using Figure 11.

[0660] Step 1:

[0661] The user enters travel destination data using a terminal. The entered destination data, which includes geographical information about the travel destination, is sent from the terminal to the server. This allows the server to receive the basic data necessary to begin the next process.

[0662] Step 2:

[0663] The server generates musical information that expresses emotional elements based on the received destination data. The specific software used includes an emotion analysis algorithm and a music generation AI model, which generate emotional musical data related to the user's destination. The output of this process is the generated musical information.

[0664] Step 3:

[0665] The server accesses an external music service provider to retrieve music information relevant to the destination. It uses an external music database or distribution service API to collect existing music data. The resulting output is the retrieved music information.

[0666] Step 4:

[0667] The user listens to music information generated and retrieved on the device and selects their preferred music. This selection process reflects the user's emotional preferences. The device sends the selected music data back to the server, providing emotional data that reflects the user's preferences.

[0668] Step 5:

[0669] The server analyzes the selected music data and extracts emotional characteristics. Using emotion analysis software, it analyzes the emotional characteristics contained in the music and generates emotional characteristic data such as "relaxing" and "passionate." The output of this step is the analyzed emotional characteristic data.

[0670] Step 6:

[0671] The server generates a travel plan based on the analyzed emotional traits data. It creates a personalized travel plan by searching a travel database and selecting sightseeing activities and accommodations that match the emotional traits. The output of this process is the generated travel plan.

[0672] Step 7:

[0673] The generated travel plan is sent from the server to the terminal and presented to the user. The user can review the travel plan and customize its contents as needed. Any changes made by the user are sent from the terminal to the server, and the travel plan is updated as necessary. The final output is a travel plan optimized for the user.

[0674] (Application Example 1)

[0675] 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".

[0676] Providing personalized travel experiences tailored to users' emotions and preferences is not easy. In particular, there are limited methods for leveraging the emotional elements of music to align travel plans with users' feelings. Therefore, there is a need to propose travel experiences that users can truly enjoy.

[0677] 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.

[0678] In this invention, the server includes means for receiving destination information, means for generating or acquiring music data that expresses emotional elements, means for analyzing an emotional profile based on the music data, means for generating a travel plan based on the emotional profile, means for presenting the travel plan, means for updating the emotional profile and customizing the travel plan based on music selected by the user, and means for suggesting relevant cultural experiences and destinations using a generative AI model based on the generated emotional profile. This makes it possible to suggest personalized travel experiences that are tailored to the user's emotions and preferences.

[0679] "Destination information" refers to data about the geographical location that the user wishes to visit.

[0680] "Emotional elements" are attributes that describe the emotional states that music and other content evoke in humans.

[0681] "Music data" refers to digital data that can be played back as music, including emotional elements.

[0682] An "emotional profile" is information that indicates a user's emotional preferences, generated based on the music data selected by the user.

[0683] A "travel plan" is a plan that includes travel destinations, activities, and accommodation information, suggested based on the user's emotional profile.

[0684] "Customizing" means adjusting or changing the plan and data content according to the user's requests and choices.

[0685] A "generative AI model" is an artificial intelligence system trained using large datasets and used to generate content or predictions for specific tasks.

[0686] "To propose" means to present options and information to the user to help them make a decision.

[0687] The system implementing this invention aims to provide a personalized travel plan tailored to the user's emotions. The basic processing consists of acquiring destination information, generating and acquiring music data, analyzing the emotional profile, and generating and presenting a travel plan.

[0688] The server receives destination information entered by the user on the terminal. Based on this information, the server generates relevant music data or retrieves it from an external music distribution service. By utilizing external music data APIs in this process, it is possible to provide more specific and emotionally rich music. For example, one could consider using a "music API".

[0689] The acquired music data is analyzed for emotional elements using specialized analysis software, generating a user emotional profile. This process includes the use of the "Google Cloud Natural Language API." The analysis results are reflected in the user's emotional profile, identifying emotions such as "relaxed" or "excited."

[0690] Next, the server uses a generative AI model to create a travel plan based on the user's emotional profile. This process utilizes generative AI models such as "GPT-3" and includes tourist destinations, cultural experiences, and accommodations that fit the user's emotions. This plan is then sent to the terminal and presented to the user.

[0691] Users can customize their travel plans on their devices. When a user makes changes to the plan, the device sends that information back to the server, and the plan is updated as needed.

[0692] For example, if a user enters "Paris" as their destination, the server can retrieve chansons and classical music, and based on the user's emotional profile of "romantic," it can suggest a plan that includes a Seine River cruise and lunch at a cafe. The AI ​​model generates the travel plan using a prompt such as, "Please suggest a romantic travel plan to visit Paris. Please include recommended sights, activities, and accommodations."

[0693] In this way, the present invention can specifically provide a travel experience tailored to the user's emotions and make the travel selection process more personalized.

[0694] The flow of a specific process in Application Example 1 will be explained using Figure 12.

[0695] Step 1:

[0696] The user enters destination information into the terminal. The terminal receives this input and sends the destination information to the server. The input data is a place name, such as "Paris," and is sent to the server as request data.

[0697] Step 2:

[0698] The server generates or retrieves relevant music data from an external service based on the received destination information. Here, a music API is used to search for and retrieve music related to the destination. The input is destination information, and the output is multiple music data related to that destination.

[0699] Step 3:

[0700] The server passes the acquired music data to analysis software to analyze its emotional elements. Using the Google Cloud Natural Language API, it extracts the emotional profile of the music and generates a user emotional profile. The input is music data, and the output is an emotional profile such as "relaxed" or "excited."

[0701] Step 4:

[0702] The server uses a generative AI model to generate travel plans based on emotional profiles. Prompts are input to the AI ​​model, which then proposes travel plans that include tourist destinations, accommodations, and activities that match the user's emotions. The input is the emotional profile, and the output is the generated travel plan.

[0703] Step 5:

[0704] The terminal receives the travel plan sent from the server and presents it to the user. The user can review the plan and customize it by informing the server of any changes through the terminal. The input is the travel plan, and the output is the plan presented to the user.

[0705] Step 6:

[0706] The server receives customization information from the terminal and updates the travel plan accordingly. The recalculated data is sent back to the terminal and presented to the user as the final travel plan. In this step, the user's requested changes are the input, and the output is the updated travel plan.

[0707] 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.

[0708] The system implementing this invention recognizes the user's emotional state using an emotion engine and proposes a personalized travel plan based on that. This makes it possible to provide a travel experience that matches the user's emotions.

[0709] First, the user enters the destination they wish to visit from their device. This destination information is sent from the device to the server. Based on the received destination information, the server generates or obtains music data that expresses emotional elements associated with that location from an external service. Subsequently, the device uses an emotion engine to measure the user's real-time emotional data. The emotion engine analyzes the user's facial expressions, voice, and other biometric data to identify their current emotional state.

[0710] By combining this emotional state with the music data presented to the user, the user selects a song that matches their emotions. This selection is sent from the device to the server, which then analyzes the selected music data in detail to generate an emotional profile.

[0711] The emotional profile reflects in detail the experiences and emotions a user desires from their trip. The server utilizes this emotional profile to generate specific travel plans from the travel database. These plans include destinations, accommodations, activities, and dining options that match the emotional profile.

[0712] Next, when the device presents the travel plan to the user, the emotion engine is used again to measure the user's reaction to the plan in real time. This allows for instant adaptation of the parts that interest the user most and any necessary adjustments.

[0713] As a concrete example, consider a scenario where the user sets "Kyoto" as their destination. The server generates or retrieves emotionally rich music related to art and traditional culture. The device utilizes an emotion engine to measure emotions such as "expectations," and the server generates a plan that includes temple visits and Zen experiences. The user can then review this travel plan in detail, customize it via the device if necessary, and receive the final plan.

[0714] In this way, the present invention aims to realize travel planning based on real-time emotion recognition of users, and to provide a more intuitive and emotionally resonant travel experience.

[0715] The following describes the processing flow.

[0716] Step 1:

[0717] The user enters their desired destination into the device. The destination information is then sent from the device to the server.

[0718] Step 2:

[0719] The server uses the received destination information to activate a generative AI model and generate music data with emotional elements associated with that location. Simultaneously, it retrieves existing music data through an external music service API.

[0720] Step 3:

[0721] The device presents the acquired music data to the user. During presentation, it utilizes an emotion engine to analyze the user's facial expressions and voice, recognizing their current emotions in real time.

[0722] Step 4:

[0723] The user listens to the provided music data and selects their favorite songs. The device sends this selection to the server. Based on the selected songs, the server creates an emotional profile that matches the user's mood.

[0724] Step 5:

[0725] The server generates a travel plan using the created emotional profile. It selects tourist destinations and activities suitable for the emotional profile from the travel database and constructs the plan.

[0726] Step 6:

[0727] The generated travel plan is sent to the device. The device presents the plan to the user. The emotion engine on the device activates again, measuring the user's reaction and evaluating whether the plan meets the user's expectations.

[0728] Step 7:

[0729] If the user reviews the plan and wishes to make adjustments as needed, they send a change request to the server via their device. The server then uses this information to reconstruct the plan and presents the final version to the user.

[0730] (Example 2)

[0731] 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".

[0732] To provide personalized travel experiences, it is necessary to generate travel plans based on the user's emotional state, but there has been no effective means to achieve this in real time. Therefore, there is a need for a system that appropriately reflects the user's current emotional state and provides travel plans that align with the user's interests and expectations.

[0733] 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.

[0734] In this invention, the server includes means for receiving information about places to visit, means for generating or acquiring music-related information that expresses emotional elements, and means for identifying the emotional state using the user's facial expressions, voice, and biometric information. This makes it possible to generate a travel plan that matches the user's emotions in real time, providing a more intuitive and personalized travel experience.

[0735] "Information about places you want to visit" refers to data about the geographical location selected by the user as their travel purpose.

[0736] "Music-related information that expresses emotional elements" refers to music data and related music information that are generated or acquired with the purpose of evoking specific emotions.

[0737] "User facial expressions, voice, and biometric information" refers to facial expressions, voice characteristics, and physiological data of the body collected to identify the user's emotional state.

[0738] "Identifying emotional states" is the process of analyzing a user's emotions and identifying states such as joy, sadness, and anticipation.

[0739] "Analyzing emotional characteristics" involves combining music-related information with the user's emotional state to evaluate the user's emotional preferences and tendencies.

[0740] A "travel plan" is a travel itinerary that includes destinations, accommodations, activities, and dining options, designed based on the user's interests and preferences.

[0741] "Measuring user responses in real time" means collecting and analyzing the user's reactions to the presented travel plan at that moment.

[0742] "External information sources" refer to data and services provided from outside the system, and are used to obtain music-related information.

[0743] The embodiment of the invention provides a system that personalizes travel plans based on the user's emotional state and presents them in real time. This system creates a more personal and emotionally resonant travel itinerary by transmitting, receiving, and processing data among the user, terminal, and server.

[0744] The user first uses a device to enter information about the place they want to visit. The device then acts as a transmitter, sending this information to the server.

[0745] The server generates music-related information that expresses emotional elements associated with the location, based on the received information about the visited place. This process may utilize AI models for music generation, and may also involve obtaining existing music data from external sources.

[0746] The device uses emotion analysis software to acquire the user's facial expressions, voice, and biometric information in real time, thereby identifying the user's current emotional state. This identified emotion data is sent to a server, where it is combined with music-related information to analyze emotional characteristics.

[0747] The specific technology utilizes the emotion analysis software "Emotion Analyzer Pro," and music generation is handled by "Music Generation AI." Based on the emotional profile generated in this way, the server creates a travel plan. The plan includes tourist destinations, accommodations, and various activities that are suited to the user's emotional state.

[0748] When a travel plan is presented to the device, it performs sentiment analysis again, collecting user responses in real time. This process allows for quick responses to the parts that interest the user most and any necessary adjustments.

[0749] As a concrete example, consider a case where a user chooses Kyoto as their travel destination because they want to "experience historical culture." In this case, the server generates music related to traditional culture and, based on emotional data from the device, plans activities that align with the user's emotions, such as visiting temples and shrines or experiencing Zen meditation.

[0750] An example of a prompt message for this system could be: "Use the user's emotional data and information about the selected destination to suggest a travel plan that matches their emotions." This configuration allows users to have a more empathetic and personal travel experience.

[0751] The flow of the specific processing in Example 2 will be explained using Figure 13.

[0752] Step 1:

[0753] The user enters information about the place they wish to visit using their device. This input is done via a touch interface on the screen, etc. The location information entered by the user is sent to the device. Based on this input information, the following processing is performed.

[0754] Step 2:

[0755] The device sends location information from the user to the server. The server receives the HTTP request and analyzes the location data. The data obtained from this analysis is stored on the server as basic information necessary for the next step in music generation.

[0756] Step 3:

[0757] The server uses a product database and AI modules to generate music-related information that expresses emotional elements associated with a location. A generative AI model is used to select music themes based on relevant keywords and characteristics. This generates music-related information, which is then used for subsequent sentiment analysis.

[0758] Step 4:

[0759] The device uses emotion analysis software to measure the user's emotional state in real time. Facial expressions and voice data input from the camera and microphone are processed by the emotion analysis engine to identify the user's current emotional state. The identified emotional data is then reported to the device.

[0760] Step 5:

[0761] The user listens to music presented on the device and interacts with it. For example, facial expressions are detected during music playback, and these reactions are recorded on the device as new emotional data. This information is then sent to a server and used for analyzing emotional characteristics.

[0762] Step 6:

[0763] The server analyzes emotional characteristics based on music-related information and the emotional state received from the user. An AI module is used for the analysis to evaluate the user's emotional preferences and tendencies. The emotional profile generated from this evaluation is then used to create the next travel plan.

[0764] Step 7:

[0765] The server generates a travel plan based on the generated emotional profile. Using the "Travel Planning System," a travel plan is created that includes tourist destinations, accommodations, and activities tailored to the user's emotions. This plan is then ready to be sent to the device.

[0766] Step 8:

[0767] The terminal presents the user with a travel plan sent from the server. A detailed plan is displayed through the user interface, and the user provides feedback. If necessary, the user can adjust the plan through the terminal and finalize it.

[0768] Step 9:

[0769] After the final plan is decided, the device connects with the server to ensure the plan is saved and shared. The final travel plan is provided to the user in a format such as PDF to support travel preparations.

[0770] (Application Example 2)

[0771] 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".

[0772] In modern travel planning, there is a growing demand for experiences and travel plans that align with one's emotional state. However, traditional travel plans are fixed and difficult to customize to the individual emotions of users. Furthermore, there have been limited means of using virtual reality technology to provide users with immersive experiences that resonate with their emotions.

[0773] 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.

[0774] In this invention, the server includes means for acquiring destination information, means for generating or acquiring musical information that expresses emotional elements, and means for providing virtual reality content. This makes it possible to create variable travel plans according to the user's emotional state and to provide a virtual reality experience that is in harmony with those emotions.

[0775] "Destination information" refers to data about places that users want to visit.

[0776] "Emotional elements" are elements that express the user's emotional state through music and content.

[0777] "Music information" refers to music data used to express emotional elements.

[0778] "Emotional description" refers to detailed information about a user's emotional state, analyzed based on music data.

[0779] A "travel plan" is a plan that combines tourist destinations and activities, created based on the user's emotional description.

[0780] "Virtual reality content" refers to content that includes visual and auditory information experienced by users in a virtual environment.

[0781] The system implementing this invention consists of multiple components to provide a travel plan customized according to the user's emotional state. Specifically, it includes a server, a terminal, an emotion engine, a music information generation device, and a virtual reality content provision device.

[0782] The server first receives destination information entered by the user from their terminal. This destination information is entered in text format and sent to the server via the internet. The server generates music information that expresses emotional elements related to the user's specified destination, and can also obtain music information from external music services. This utilizes APIs from music streaming services and generative AI models.

[0783] Next, the device uses an emotion engine to measure the user's real-time emotional state. This emotion engine generates an emotion description by analyzing the user's facial expressions with a camera and their voice with a microphone. The collected emotional data is processed using data analysis tools in the cloud.

[0784] The server creates a travel plan based on the emotion descriptions obtained. This travel plan includes tourist destinations and activities that match the user's emotions. This plan is represented as virtual reality content and delivered to the user through a virtual reality headset. Through this virtual reality experience, the user can visually experience the planned trip.

[0785] For example, if a user sets "Kyoto" as their destination and seeks a relaxing experience, the server will generate a travel plan themed around temples, shrines, and natural landscapes, and then provide that experience in virtual reality. In this process, the content is optimized using a generative AI model by setting prompts such as, "I want to relax today. Please suggest what kind of experiences I can have in Kyoto."

[0786] The flow of a specific process in Application Example 2 will be explained using Figure 14.

[0787] Step 1:

[0788] The user enters destination information in text format using their device. This information is sent to the server via the internet. The entered destination information is output as data used in the next step to generate music information.

[0789] Step 2:

[0790] The server generates music information that expresses emotional elements associated with a location, based on destination information received from the user. It also retrieves music information from external music services as needed. In this process, it uses generative AI models and music streaming APIs to process the data and output music information that is relevant to the target audience.

[0791] Step 3:

[0792] The device activates an emotion engine to measure the user's emotional state in real time. Specifically, it analyzes the user's facial expressions using a camera and analyzes their voice tone using a microphone. The emotional data obtained from this analysis is output as an emotion description and sent to the server.

[0793] Step 4:

[0794] The server receives the user's emotion description and generates a travel plan based on it. The system combines the emotion description with musical information to perform calculations, selecting appropriate tourist destinations and activities for the travel plan. As a result, the system outputs a customized travel plan.

[0795] Step 5:

[0796] The server converts the generated travel plan into virtual reality content and presents it to the user through a virtual reality headset. The virtual reality content generated by the data conversion is output, and the user can use this content to gain a visual experience.

[0797] Step 6:

[0798] Through the virtual reality experience, users evaluate whether the selected travel plan matches their emotions and, if necessary, send feedback to the server via their device. This feedback is stored as reference data for generating future plans.

[0799] 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.

[0800] 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.

[0801] 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.

[0802] 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.

[0803] 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.

[0804] 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.

[0805] 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.

[0806] 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.

[0807] 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."

[0808] 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.

[0809] 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.

[0810] 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.

[0811] 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.

[0812] 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.

[0813] 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.

[0814] 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.

[0815] 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.

[0816] 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.

[0817] 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.

[0818] 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.

[0819] All documents, patent applications, and technical standards described herein are incorporated by reference to the same extent as if each individual document, patent application, and technical standard were specifically and individually noted to be incorporated by reference.

[0820] The following is further disclosed regarding the embodiments described above.

[0821] (Claim 1)

[0822] A means for receiving destination information,

[0823] Means for generating or acquiring music data that expresses emotional elements,

[0824] A means for analyzing an emotional profile based on the aforementioned music data,

[0825] Means for generating a travel plan based on the aforementioned emotional profile,

[0826] A means of presenting the aforementioned travel plan,

[0827] A system that includes this.

[0828] (Claim 2)

[0829] The system according to claim 1, which customizes music data based on user selection.

[0830] (Claim 3)

[0831] The system according to claim 1, which acquires music data from an external service and uses it for analysis.

[0832] "Example 1"

[0833] (Claim 1)

[0834] A means of receiving destination data,

[0835] Means for generating or acquiring musical information that expresses emotional elements,

[0836] A means for analyzing emotional characteristics based on the aforementioned music information,

[0837] Means for generating a travel plan based on the aforementioned emotional characteristics,

[0838] Means for displaying the aforementioned travel plan,

[0839] A system that includes this.

[0840] (Claim 2)

[0841] The system according to claim 1, which adjusts music information based on the user's selection.

[0842] (Claim 3)

[0843] The system according to claim 1, which acquires music information from external equipment and uses it for analysis.

[0844] "Application Example 1"

[0845] (Claim 1)

[0846] A means for receiving destination information,

[0847] Means for generating or acquiring music data that expresses emotional elements,

[0848] A means for analyzing an emotional profile based on the aforementioned music data,

[0849] Means for generating a travel plan based on the aforementioned emotional profile,

[0850] A means of presenting the aforementioned travel plan,

[0851] A means of updating the emotional profile and customizing the travel plan based on the music selected by the user,

[0852] A method for suggesting related cultural experiences and places to visit based on the generated emotional profile, using a generative AI model,

[0853] A system that includes this.

[0854] (Claim 2)

[0855] The system according to claim 1, which customizes music data based on user selection.

[0856] (Claim 3)

[0857] The system according to claim 1, which acquires music data from an external service and uses it for analysis.

[0858] "Example 2 of combining an emotion engine"

[0859] (Claim 1)

[0860] A means of receiving information about the place you want to visit,

[0861] Means for generating or acquiring music-related information that expresses emotional elements,

[0862] A means of identifying an emotional state using the user's facial expressions, voice, and biometric information,

[0863] A method for analyzing emotional characteristics by combining music-related information and emotional states,

[0864] A means of generating a travel plan based on emotional characteristics,

[0865] A means of presenting travel plans and measuring user reactions in real time,

[0866] A system that includes this.

[0867] (Claim 2)

[0868] The system according to claim 1, which adjusts music-related information and updates emotional characteristics according to the user's selection.

[0869] (Claim 3)

[0870] The system according to claim 1, which obtains music-related information from an external source and uses it for the analysis of emotional characteristics.

[0871] "Application example 2 when combining with an emotional engine"

[0872] (Claim 1)

[0873] Means of obtaining destination information,

[0874] Means for generating or acquiring musical information that expresses emotional elements,

[0875] A means for analyzing emotional descriptions based on the aforementioned musical information,

[0876] A means for creating a travel plan based on the aforementioned emotional description,

[0877] Means for presenting the aforementioned travel plan,

[0878] Means for providing virtual reality content,

[0879] A system that includes this.

[0880] (Claim 2)

[0881] The system according to claim 1, which adjusts music information based on the user's selection.

[0882] (Claim 3)

[0883] The system according to claim 1, which acquires music information from external resources and uses it for analysis. [Explanation of symbols]

[0884] 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 receiving destination information, Means for generating or acquiring music data that expresses emotional elements, A means for analyzing an emotional profile based on the aforementioned music data, Means for generating a travel plan based on the aforementioned emotional profile, A means of presenting the aforementioned travel plan, A system that includes this.

2. The system according to claim 1, which customizes music data based on the user's selection.

3. The system according to claim 1, which acquires music data from an external service and uses it for analysis.

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