system

Abstract

We provide the system. [Solution] A means for receiving user characteristic information, A means of obtaining information from an external information warehouse based on the above characteristic information, A means for generating a travel plan based on the information obtained above, A means for transmitting the above travel plan to the user's terminal, A means of suggesting sightseeing routes tailored to the characteristics of users, A means of updating the plan in real time based on external conditions, A system that includes this.

Description

Technical Field

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

Background Art

[0002] Patent Document 1 discloses a method for controlling a persona chatbot, which is performed by at least one processor, 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] Modern travelers have difficulty finding the optimal travel plan for themselves from a vast amount of information and options, and there is a problem that conventional travel packages cannot fully meet individual needs. In addition, travelers often find it time-consuming and stressful to create individualized plans based on their interests and characteristics. Based on this, there is a need to provide a more appropriate and satisfying travel experience based on the personality and emotional state of travelers.

Means for Solving the Problems

[0005] This invention provides a means for receiving user characteristic information. Based on the received characteristic information, it provides a means for obtaining reliable information from an external database and generating a travel plan based on this information. The generated travel plan is sent to the user's terminal, and the system further analyzes the user's emotional state and adjusts the plan to improve satisfaction. In this way, a system is realized that provides customized travel plans tailored to travelers easily and quickly.

[0006] "User characteristic information" refers to information that includes the user's personality traits, interests, and travel preferences.

[0007] An "external database" is an online or offline source of information used to collect reliable information on accommodations, tourist destinations, activities, and more.

[0008] A "travel plan" is a schedule that includes an itinerary, destinations, and related activities, generated based on the user's characteristic information.

[0009] A "user terminal" is an electronic device used by a user to check or modify their travel plans.

[0010] "Emotional state" refers to data that indicates the user's current psychological state and is used to adjust travel plans. [Brief explanation of the drawing]

[0011] [Figure 1] This is a conceptual diagram showing an example of the configuration of a data processing system according to the first embodiment. [Figure 2] This is a conceptual diagram showing an example of the essential functions of a data processing device and a smart device according to the first embodiment. [Figure 3] This is a conceptual diagram showing an example of the configuration of a data processing system according to the second embodiment. [Figure 4] This is a conceptual diagram showing an example of the main functions of a data processing device and smart glasses according to the second embodiment. [Figure 5] This is a conceptual diagram showing an example of the configuration of a data processing system according to the third embodiment. [Figure 6] This is a conceptual diagram showing an example of the main functions of a data processing device and a headset-type terminal according to the third embodiment. [Figure 7] This is a conceptual diagram showing an example of the configuration of a data processing system according to the fourth embodiment. [Figure 8] This is a conceptual diagram showing an example of the main functions of a data processing device and a robot according to the fourth embodiment. [Figure 9] This shows an emotion map where multiple emotions are mapped. [Figure 10] This shows an emotion map where multiple emotions are mapped. [Figure 11] This is a sequence diagram showing the processing flow of the data processing system in Example 1. [Figure 12] This is a sequence diagram showing the processing flow of the data processing system in Application Example 1. [Figure 13] This is a sequence diagram showing the processing flow of the data processing system in Example 2, which incorporates an emotion engine. [Figure 14] This is a sequence diagram showing the processing flow of the data processing system in Application Example 2, which combines an emotion engine. [Modes for carrying out the invention]

[0012] Hereinafter, an example of an embodiment of the system relating to the technology of this disclosure will be described with reference to the attached drawings.

[0013] First, let's explain the terminology used in the following explanation.

[0014] In the following embodiments, the 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.

[0015] In the following embodiments, the numbered RAM (Random Access Memory) is a memory in which information is temporarily stored and is used as a work memory by the processor.

[0016] In the following embodiments, the 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, and the like.

[0017] In the following embodiments, the numbered communication I / F (Interface) is an interface including a communication processor and an antenna, etc. The communication I / F controls communication between multiple computers. Examples of communication standards applied to the communication I / F include wireless communication standards including 5G (5th Generation Mobile Communication System), Wi-Fi (registered trademark), or Bluetooth (registered trademark), and the like.

[0018] 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."

[0019] [First Embodiment]

[0020] Figure 1 shows an example of the configuration of the data processing system 10 according to the first embodiment.

[0021] 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.

[0022] 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).

[0023] 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.

[0024] 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.

[0025] 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.

[0026] 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.

[0027] Figure 2 shows an example of the main functions of the data processing device 12 and the smart device 14.

[0028] 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.

[0029] 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.

[0030] 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.

[0031] 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".

[0032] This invention begins with the user inputting characteristic information such as their MBTI type. The user inputs this information using a terminal, which then transmits it to a server. The server uses an external database API to retrieve relevant travel data based on the received characteristic information. Based on this retrieved information, the server automatically generates a travel plan optimized for the user.

[0033] In generating travel plans, the server applies algorithms that reflect the user's personality traits. For example, for introverted users, it creates plans that focus on quiet tourist destinations and individual activities. On the other hand, for extroverted users, it provides plans that include group activities and lively places. In this process, sentiment analysis tools are used to analyze the user's emotional state and further personalize the travel plan.

[0034] The generated travel plan is sent from the server to the user's device. The user can review this travel plan on the device and request adjustments according to their preferences. The device sends the request back to the server, which then generates a new plan reflecting the changes. In this way, users can easily create a travel plan that suits them, resulting in less stressful travel preparation.

[0035] As a concrete example, consider a scenario where a user enters their MBTI type as "INFP" and selects "Copenhagen" as their travel destination. The server suggests quiet tourist spots in Copenhagen, relaxation activities for a hygge experience, and accommodations. The schedule includes personal time and sightseeing plans that avoid crowds. The user reviews these suggestions, and if they wish to extend their spa time, they can request changes from the server via their device and receive an updated plan.

[0036] The following describes the processing flow.

[0037] Step 1:

[0038] Users enter their MBTI type and travel preferences (e.g., destination, budget, dates) into the device. This data is collected through a form.

[0039] Step 2:

[0040] The terminal sends the entered information to the server. This is usually done via an HTTP request, which sends the data to the server.

[0041] Step 3:

[0042] The server retrieves user characteristic information received and retrieves information from an external database to collect appropriate travel data. At this stage, data is collected via an API.

[0043] Step 4:

[0044] Based on the data collected by the server, a travel plan is generated that is tailored to the user's MBTI type. This uses a proprietary algorithm that reflects the user's personality traits.

[0045] Step 5:

[0046] The server uses emotion analysis tools to assess the user's emotional state and make adjustments to personalize the generated travel plan.

[0047] Step 6:

[0048] The server sends the final travel plan to the device. This data transmission is usually done in JSON or a similar format.

[0049] Step 7:

[0050] The user reviews the proposed travel plan on their device and requests adjustments as needed. The device then sends the request back to the server.

[0051] Step 8:

[0052] The server readjusts the travel plan based on the user's change request and generates an updated plan. The new plan is then sent back to the device.

[0053] (Example 1)

[0054] 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."

[0055] In modern society, it is difficult to create optimal travel plans tailored to the individual characteristics and preferences of each user without requiring significant effort. In particular, there is a need for systems that efficiently optimize plans to reflect the user's psychological state and respond to real-time change requests.

[0056] 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.

[0057] In this invention, the server includes means for providing a device for inputting the user's individual characteristics information, means for transmitting this information to a data processing device via a communication device, and means for acquiring related information from an external storage device. This enables the automatic generation of an optimal travel plan tailored to the user's characteristics, the optimization of the plan considering the user's psychological state, and a rapid response to the user's requests for modifications.

[0058] A "user" refers to an individual or group who wishes to use the system to plan a trip.

[0059] "Characteristic information" refers to data that indicates individual travel requirements, such as the user's personality type and preferences.

[0060] "Input device" refers to electronic devices or software used by users to input characteristic information into the system.

[0061] "Communication equipment" refers to network interfaces and protocols used for sending and receiving data.

[0062] A "data processing device" refers to a computer or its internal processing unit used to analyze and process received data.

[0063] "External storage device" refers to a database or storage system used to store travel-related data.

[0064] "Related information" refers to data about travel destinations and activities extracted based on the user's characteristics.

[0065] A "travel plan" refers to a travel schedule and suggestions tailored to the user's individual needs and psychological state.

[0066] "Psychological state" refers to a temporary psychological condition that indicates a user's emotions and mood and influences their judgment.

[0067] "Means for requesting revisions" refers to the mechanisms or interfaces that users use to propose changes to existing travel plans.

[0068] A description of embodiments for carrying out this invention will be given.

[0069] First, the user uses a terminal to input their personal information, such as their MBTI type and travel destination selection. This information is converted into a data format by the user's terminal and sent to the server using a secure communication protocol. The terminal must be equipped with an input device such as a touchscreen or keyboard.

[0070] Based on the received information, the server accesses a database in external storage. Here, the server uses a generative AI model to generate a prompt. Based on this prompt, it retrieves relevant information from the external storage via an API, tailored to the user's characteristics. As a specific example, the prompt "Please suggest a relaxing Copenhagen travel plan suitable for MBTI type 'INFP'" is used.

[0071] The server then analyzes the acquired information and generates travel plans based on the user's personality traits. Specifically, it suggests quiet tourist destinations and relaxation-focused plans for introverted users, while creating plans for active and lively places for extroverted users. Furthermore, the server is equipped with an emotion analysis tool, which can be used to analyze the user's psychological state and optimize the travel plan.

[0072] The generated travel plan is sent back to the terminal by the server. The user can review the proposed travel plan on the terminal and request changes if necessary. At this point, the terminal sends the user's change request to the server, which recalculates based on the new conditions and provides an updated plan.

[0073] In this way, the present invention allows users to easily create travel plans that perfectly suit their characteristics and psychological state, making travel preparations efficient and stress-free.

[0074] The flow of the specific processing in Example 1 will be explained using Figure 11.

[0075] Step 1:

[0076] The user enters personal information using a terminal. This information includes MBTI type and travel destination selection. This input data is converted into a digital format by software on the terminal. The converted data is stored in memory as strings and numerical data, ready for communication.

[0077] Step 2:

[0078] The terminal sends formatted characteristic information to the server. A secure data communication method such as HTTPS is used as the transmission protocol. Encryption technology is used during communication to prevent data alteration or leakage.

[0079] Step 3:

[0080] The server analyzes the characteristic information received from the user. This analysis fragments the received data and converts it into a format suitable for the generative AI model. Based on the characteristic information, data for generating prompt statements is prepared.

[0081] Step 4:

[0082] The server accesses a database on an external storage device and sends the generated prompt message to the API of the aforementioned database. A specific prompt message might be, "Please suggest a relaxing Copenhagen travel plan suitable for someone with the MBTI type 'INFP'." This prompt will then retrieve relevant travel information.

[0083] Step 5:

[0084] The server receives the acquired travel information and generates a travel plan based on that information. Here, the server applies an algorithm tailored to the user's characteristics to filter and classify the information. For example, introverted users will be selected for tourist destinations that prioritize relaxation.

[0085] Step 6:

[0086] The server uses emotion analysis tools to analyze the user's psychological state and optimize the travel plan. For example, if the user is feeling stressed, a plan including more relaxing activities will be suggested. Based on the analysis results, the server makes fine adjustments to the plan.

[0087] Step 7:

[0088] The generated travel plan is sent from the server to the terminal. The server formats the plan and shapes the data into a user-friendly structure.

[0089] Step 8:

[0090] Users can review their travel plans on their devices and request changes as needed. For example, they can request to extend their spa time. The user's requests are then resent to the server by the device.

[0091] Step 9:

[0092] The server receives the user's change request and creates a regenerated plan. The server updates the plan based on the new request, referencing the original plan. The updated travel plan is then provided to the terminal and presented to the user.

[0093] (Application Example 1)

[0094] 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."

[0095] Providing individual travelers with optimal travel plans based on their characteristics and emotions, and flexibly adjusting those plans in response to real-time changes in external conditions, are challenges that current travel planning systems are unable to adequately address. In particular, there is a need to improve the quality of the travel experience, which requires immediate adaptation to individual emotional states and external environments.

[0096] 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.

[0097] In this invention, the server includes means for receiving user characteristic information, means for acquiring information from an external information warehouse, means for generating a travel plan based on the acquired information, means for proposing a sightseeing route tailored to the user's characteristics, means for updating the plan in real time based on external conditions, means for analyzing the user's emotional state and adjusting the plan, and means for the user to submit a change request to the plan. This enables the provision of a personalized and optimal travel experience to individual travelers and allows for flexible changes to the plan in real time.

[0098] "User characteristic information" refers to information that indicates the user's personality and behavioral patterns, and includes psychological characteristics such as MBTI type.

[0099] An "external information warehouse" refers to a database or API that stores information about tourist destinations and accommodations, and serves as a source of information for creating travel plans.

[0100] A "travel plan" refers to a user's planned activities at their travel destination, including details such as places to visit, activities to be done, and time allocation.

[0101] A "user terminal" refers to a communication device, such as a mobile device or computer, used by the user to receive and confirm their travel plan.

[0102] A "tour route" refers to the places to visit at a destination and the order in which they are taken, and it represents a suggested itinerary tailored to the user's characteristics and preferences.

[0103] "External conditions" refer to environmental factors such as weather and event information at the destination, and are elements on which travel plans are adjusted.

[0104] The system for realizing this invention personalizes the user's travel experience based on various characteristic information. The server first receives the user's characteristic information and uses that information to retrieve destination-related data from an external information warehouse. Based on the retrieved data, it generates a travel plan that takes into account the user's personality traits and real-time external conditions.

[0105] This system includes users who use mobile devices such as smartphones and smart glasses. Users input their personal information into their devices, which is then sent to the server. The server uses tourist destination information and environmental data obtained from a database to construct the optimal sightseeing route for the user. Furthermore, the server utilizes a generative AI model to individually adjust the user's travel plan.

[0106] In this process, the server primarily runs Python-based programs and processes data using Flask. Information is also provided to users through a mobile app built with React Native.

[0107] For example, if a user is an INTJ type and is traveling to Barcelona, ​​the system will suggest activities tailored to their personality traits, such as "a tour of Gaudí's architecture" or "relaxing on a quiet beach." This allows users to instantly obtain travel plans based on their individual preferences.

[0108] An example of a prompt might be: "The user's MBTI type is 'INTJ', and they are traveling to Barcelona. The user tends to prefer architecture and quiet activities. Design an optimal one-day itinerary for the user and provide activities at each point." Based on this, the server generates a corresponding travel plan.

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

[0110] Step 1:

[0111] The user enters characteristic information on a terminal. This information includes the user's MBTI type, which indicates their personality. The terminal sends this information to the server. Based on the entered characteristic information, the server collects data that forms the basis for the next processing steps.

[0112] Step 2:

[0113] The server retrieves data on tourist destinations and accommodations from an external data warehouse. This retrieval process involves filtering relevant data based on characteristic information. It receives characteristic information as input, retrieves matching information in real time from a third-party API, and uses it to generate the next travel plan.

[0114] Step 3:

[0115] The server generates a travel plan using acquired tourism data and user characteristic information. Using a generative AI model, it applies algorithms to suggest the optimal sightseeing route for the user. The input is external data and characteristic information, and the output is a personalized travel plan. In this process, the server also incorporates sentiment analysis technology to reflect the user's latent preferences.

[0116] Step 4:

[0117] The generated travel plan is sent to the user's device. The device receives the plan and displays it to the user via an interface. The user can view the details of the travel plan and modify it according to their preferences and needs.

[0118] Step 5:

[0119] Users submit requests to change their travel plans through their devices. These requests are sent back to the server, which updates the plan using new tourism data and a generative AI model. Based on the submitted change requests, the server performs data calculations and generates an adjusted travel plan.

[0120] Step 6:

[0121] The adjusted travel plan is sent back to the user's device for final confirmation. The user reviews the plan and requests further adjustments as needed to achieve the optimal travel experience.

[0122] Furthermore, an emotion engine that estimates the user's emotions may be incorporated. That is, the identification processing unit 290 may use the emotion identification model 59 to estimate the user's emotions and perform identification processing using the user's emotions.

[0123] This invention begins with the user entering their MBTI type and travel preferences into a terminal. The terminal sends this information to a server, which then retrieves relevant travel data from an external database based on that information. Furthermore, the emotion engine included in this invention recognizes and analyzes the user's emotional state to generate a travel plan tailored to the user's mood and psychological state.

[0124] The emotion engine analyzes the user's current emotional state using their past selection history and real-time feedback data from their device. Based on this information, the server comprehensively considers the user's characteristics and emotional state to design the most suitable travel plan. For example, if the user is an "ENFJ" and their current emotional state is seeking relaxation, the server will propose a travel schedule that combines relaxation and socializing.

[0125] The generated travel plan is sent from the server to the user's device, where they can review it and request further adjustments based on their preferences. Furthermore, the emotion engine monitors user feedback in real time, enabling real-time adjustments to the plan as needed, even during the trip. In this way, a system incorporating the emotion engine provides a travel experience closely tailored to the user's psychological needs, enabling more personalized planning.

[0126] For example, if a user uses their device to select "Bali as a travel destination" and "a relaxing stay," the server uses an emotion engine to suggest a plan that prioritizes relaxation. This includes booking time on the beach and spa treatments. Furthermore, once the user actually begins their trip, the emotion engine provides real-time activity suggestions tailored to the user's satisfaction level and mood.

[0127] The following describes the processing flow.

[0128] Step 1:

[0129] The user enters their MBTI type and travel preferences on the device. This includes destination, budget, and length of stay.

[0130] Step 2:

[0131] The terminal sends the information it receives to the server. This information forms the basis for data processing on the server.

[0132] Step 3:

[0133] The server receives user profile information and uses it to retrieve travel-related information from an external database. This process is automated via an API and includes data such as accommodations, activities, and tourist attractions.

[0134] Step 4:

[0135] The server uses an emotion engine to analyze the user's emotional state. Based on real-time data from the device and past selection history, it evaluates the user's current psychological state.

[0136] Step 5:

[0137] The server integrates trait information and emotional state to generate a travel plan best suited to the user's needs. This includes suggesting schedules and activities that take the user's personality traits into account.

[0138] Step 6:

[0139] The server generates a travel plan and sends it to the user's device. The user can then review this plan on their device and request any necessary adjustments to suit their preferences.

[0140] Step 7:

[0141] The emotion engine continuously receives real-time feedback during the trip, and the server dynamically adjusts the travel plan and makes new suggestions in response to changes in the user's emotional state.

[0142] Step 8:

[0143] If the user requests any changes during the process, the terminal transmits that information to the server. The server then regenerates the plan based on this information and provides the updated plan to the terminal.

[0144] (Example 2)

[0145] Next, we will describe Example 2. In the following description, the data processing device 12 will be referred to as the "server" and the smart device 14 as the "terminal".

[0146] Conventional travel planning systems have struggled to provide personalized travel plans that fully consider the user's characteristics and emotional state. Furthermore, they lacked sufficient dynamic adjustments to the plan based on real-time feedback during the trip, resulting in a failure to enhance user satisfaction.

[0147] 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.

[0148] In this invention, the server includes means for receiving user characteristic information, means for acquiring information from external information sources, and means for recognizing and analyzing the user's psychological state using emotion analysis means. This enables the provision of more personalized travel plans to users and dynamic adjustment of the plan in real time.

[0149] "Characteristic information" refers to information that indicates a user's individuality and characteristics, including MBTI type and past selection history.

[0150] "External information sources" refer to databases and internet-based information services that the server can use, and are referenced to obtain travel-related data.

[0151] "Emotional analysis methods" refer to analytical techniques for recognizing and analyzing a user's psychological state, utilizing the user's past choice history and real-time feedback.

[0152] A "travel plan" refers to a travel itinerary and activity schedule generated based on the user's characteristics and psychological state.

[0153] "User terminal" refers to a mobile information terminal or computer used by a user, and is a device used to display and manipulate information transmitted from a server.

[0154] "Real-time feedback" refers to information about the user's current emotions and satisfaction levels during their trip, which is used to dynamically adjust the plan.

[0155] The system of this invention begins with the user inputting their personal information into a user terminal. For example, the user inputs their MBTI type (e.g., ENFJ) and travel preferences (e.g., a trip to Bali, a relaxed stay). The terminal has an interface for transmitting this information to a server.

[0156] Upon receiving this information, the server retrieves relevant travel data by referencing external sources. Databases and online information services are the primary external sources. This allows the server to collect detailed information about destinations and travel styles.

[0157] Simultaneously, the server analyzes the user's emotional state using sentiment analysis tools. This analysis utilizes the user's past selection history and real-time feedback from the device. Based on this, the user's psychological state is inferred, and an optimal travel plan is formulated based on their current mood and needs.

[0158] The server generates prompt sentences using a generative AI model based on the acquired data and sentiment analysis. For example, it might send an instruction to the AI ​​model such as, "Suggest a Bali travel plan for an ENFJ user seeking relaxation." Based on this prompt, the AI ​​generates the optimal travel plan.

[0159] The generated travel plan is sent to the user's terminal, where the user can review its contents and request adjustments to suit their preferences. By receiving real-time feedback from the terminal, the server can adjust the plan even during the trip according to the user's mood and satisfaction. In this way, the system of the present invention makes it possible to provide a personalized travel experience that is suitable for the user.

[0160] The flow of the specific processing in Example 2 will be explained using Figure 13.

[0161] Step 1:

[0162] The user uses a terminal to input their personal information and desired conditions. Specifically, they fill in information such as their MBTI type, travel destination, and preferred style of stay in an input form. This input data is sent to the server and passed on to the next step.

[0163] Step 2:

[0164] Upon receiving user information sent from the terminal, the server issues a query to an external information source to retrieve relevant travel data. This retrieves information such as destination area, accommodation, and local activities from the database. This data is then used in the next processing step.

[0165] Step 3:

[0166] The server analyzes the user's psychological state using sentiment analysis tools. Inputs include the user's past selection history and real-time feedback data. Sentiment analysis identifies the user's mood and needs, and these results are reflected in the generated travel plan.

[0167] Step 4:

[0168] The server generates prompt messages based on the acquired travel data and sentiment analysis results. It sends a prompt message to the generating AI model such as, "Please suggest a Bali travel plan for an ENFJ user seeking relaxation." Based on this prompt, the AI ​​model generates a travel plan, and the server receives that plan.

[0169] Step 5:

[0170] The generated travel plan is sent from the server to the user's terminal. The user reviews the plan and, if necessary, sends adjustment requests from their terminal to the server, such as changing destinations or adding activities. Upon receiving these requests, the server readjusts the travel plan.

[0171] Step 6:

[0172] During the trip, the device collects real-time feedback and sends it to the server. The server analyzes this feedback using sentiment analysis tools, provides real-time activity suggestions as needed, and dynamically adjusts the travel plan. This makes it possible to improve user satisfaction.

[0173] (Application Example 2)

[0174] 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".

[0175] In modern society, as consumers increasingly seek personalized experiences, there is a growing demand for personalized services based on user characteristics and emotional states. In particular, there is a lack of suggestions that meet users' psychological and emotional needs when it comes to choices regarding dining, travel, and entertainment, and this failure to meet these needs leads to a decline in overall satisfaction.

[0176] 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.

[0177] In this invention, the server includes means for receiving user characteristic data, means for acquiring information from external information sources, and means for generating a visit plan and a meal plan based on the acquired information. This makes it possible to provide highly personalized services that are tailored to the user's characteristics and emotional data.

[0178] A "user" refers to an individual consumer who uses a system to receive information or services.

[0179] "Characteristic data" refers to information about the user's psychological characteristics and behavior, and mainly includes personality indicators such as MBTI types.

[0180] "Emotional data" refers to data that reflects the user's current psychological state and is obtained based on real-time feedback and historical data.

[0181] "External information sources" refer to external databases or information providers that the system accesses to obtain the data it needs.

[0182] "Planned destinations" refers to travel and sightseeing schedules suggested based on the user's characteristics and emotional data.

[0183] A "meal plan" refers to a plan that presents dishes and meal options tailored to the user's characteristics and emotional data.

[0184] A "server" refers to a computer system that processes data from users, collects information from external sources, and generates content.

[0185] To implement this invention, it is necessary to build a system in which user terminals, servers, and various software components work together. Users input their characteristic data and emotional data using terminals such as smartphones and tablets. This includes MBTI type and current psychological state.

[0186] The data sent from the terminal is sent to the server. The server uses Python and JavaScript® programs for data analysis. It also uses PostgreSQL for database management and Python natural language processing libraries (e.g., NLTK and SpaCy) for data analysis. Based on the user's characteristic data and sentiment data, the server retrieves travel destination data and food information from relevant external sources.

[0187] Based on the acquired information, the server generates a visit plan and meal plan. In this process, a generation AI model is used, and fine-tuning is performed in real time to propose the most suitable plan for the user.

[0188] For example, if a user in this system identifies as "ENFJ" and requests "relaxing travel and meals," the server will suggest a relaxing plan in Bali and healthy, relaxing meal options. Similarly, if the user requests "adventurous meals," the system can suggest spicy ethnic cuisine.

[0189] Examples of prompt statements are as follows:

[0190] User MBTI type: ENFJ

[0191] Current emotional state: Relaxed

[0192] Desired culinary theme: Healthy and comforting

[0193] Suggested meal menu: Japanese-style tofu salad, matcha latte

[0194] The flow of a specific process in Application Example 2 will be explained using Figure 14.

[0195] Step 1:

[0196] The user inputs characteristic data and emotional data using a terminal. The input data includes the user's MBTI type and current emotional state. This information is sent from the terminal to the server.

[0197] Step 2:

[0198] The server receives trait and sentiment data, queries the database to retrieve relevant information, and uses Python's natural language processing library to analyze the input data and extract useful insights.

[0199] Step 3:

[0200] Based on the information acquired and analyzed by the server, a generative AI model is used to generate a visit plan and a meal plan. The data processing involved includes calculations to select candidates that are suitable for the user's characteristics and emotional state. The generated plan is then evaluated to determine if it matches the user's preferences.

[0201] Step 4:

[0202] The server sends the generated visit plan and meal plan to the terminal. The user receives this and can review it on the screen. If the user has any additional requests or desired changes, that feedback is sent to the server in real time.

[0203] Step 5:

[0204] The server receives feedback from the user and readjusts the plan as needed. Generative AI models are also used in this process, allowing for rapid revisions to the plan that reflect user needs. Prompts are used to generate suggestions that better fit the user.

[0205] 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.

[0206] Data generation model 58 is a type of so-called generative AI (Artificial Intelligence). An example of data generation model 58 is ChatGPT (registered trademark) (Internet search).<URL: https: / / openai.com / blog / chatgpt> ), 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.

[0207] 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.

[0208] [Second Embodiment]

[0209] Figure 3 shows an example of the configuration of the data processing system 210 according to the second embodiment.

[0210] 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.

[0211] 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).

[0212] 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.

[0213] 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.

[0214] 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).

[0215] 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.

[0216] 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.

[0217] 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.

[0218] 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.

[0219] 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.

[0220] 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".

[0221] This invention begins with the user inputting characteristic information such as their MBTI type. The user inputs this information using a terminal, which then transmits it to a server. The server uses an external database API to retrieve relevant travel data based on the received characteristic information. Based on this retrieved information, the server automatically generates a travel plan optimized for the user.

[0222] In generating travel plans, the server applies algorithms that reflect the user's personality traits. For example, for introverted users, it creates plans that focus on quiet tourist destinations and individual activities. On the other hand, for extroverted users, it provides plans that include group activities and lively places. In this process, sentiment analysis tools are used to analyze the user's emotional state and further personalize the travel plan.

[0223] The generated travel plan is sent from the server to the user's device. The user can review this travel plan on the device and request adjustments according to their preferences. The device sends the request back to the server, which then generates a new plan reflecting the changes. In this way, users can easily create a travel plan that suits them, resulting in less stressful travel preparation.

[0224] As a concrete example, consider a scenario where a user enters their MBTI type as "INFP" and selects "Copenhagen" as their travel destination. The server suggests quiet tourist spots in Copenhagen, relaxation activities for a hygge experience, and accommodations. The schedule includes personal time and sightseeing plans that avoid crowds. The user reviews these suggestions, and if they wish to extend their spa time, they can request changes from the server via their device and receive an updated plan.

[0225] The following describes the processing flow.

[0226] Step 1:

[0227] Users enter their MBTI type and travel preferences (e.g., destination, budget, dates) into the device. This data is collected through a form.

[0228] Step 2:

[0229] The terminal sends the entered information to the server. This is usually done via an HTTP request, which sends the data to the server.

[0230] Step 3:

[0231] The server retrieves user characteristic information received and retrieves information from an external database to collect appropriate travel data. At this stage, data is collected via an API.

[0232] Step 4:

[0233] Based on the data collected by the server, a travel plan is generated that is tailored to the user's MBTI type. This uses a proprietary algorithm that reflects the user's personality traits.

[0234] Step 5:

[0235] The server uses emotion analysis tools to assess the user's emotional state and make adjustments to personalize the generated travel plan.

[0236] Step 6:

[0237] The server sends the final travel plan to the device. This data transmission is usually done in JSON or a similar format.

[0238] Step 7:

[0239] The user reviews the proposed travel plan on their device and requests adjustments as needed. The device then sends the request back to the server.

[0240] Step 8:

[0241] The server readjusts the travel plan based on the user's change request and generates an updated plan. The new plan is then sent back to the device.

[0242] (Example 1)

[0243] 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."

[0244] In modern society, it is difficult to create optimal travel plans tailored to the individual characteristics and preferences of each user without requiring significant effort. In particular, there is a need for systems that efficiently optimize plans to reflect the user's psychological state and respond to real-time change requests.

[0245] 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.

[0246] In this invention, the server includes means for providing a device for inputting the user's individual characteristics information, means for transmitting this information to a data processing device via a communication device, and means for acquiring related information from an external storage device. This enables the automatic generation of an optimal travel plan tailored to the user's characteristics, the optimization of the plan considering the user's psychological state, and a rapid response to the user's requests for modifications.

[0247] A "user" refers to an individual or group who wishes to use the system to plan a trip.

[0248] "Characteristic information" refers to data that indicates individual travel requirements, such as the user's personality type and preferences.

[0249] "Input device" refers to electronic devices or software used by users to input characteristic information into the system.

[0250] "Communication equipment" refers to network interfaces and protocols used for sending and receiving data.

[0251] A "data processing device" refers to a computer or its internal processing unit used to analyze and process received data.

[0252] "External storage device" refers to a database or storage system used to store travel-related data.

[0253] "Related information" refers to data about travel destinations and activities extracted based on the user's characteristics.

[0254] A "travel plan" refers to a travel schedule and suggestions tailored to the user's individual needs and psychological state.

[0255] "Psychological state" refers to a temporary psychological condition that indicates a user's emotions and mood and influences their judgment.

[0256] "Means for requesting revisions" refers to the mechanisms or interfaces that users use to propose changes to existing travel plans.

[0257] A description of embodiments for carrying out this invention will be given.

[0258] First, the user uses a terminal to input their personal information, such as their MBTI type and travel destination selection. This information is converted into a data format by the user's terminal and sent to the server using a secure communication protocol. The terminal must be equipped with an input device such as a touchscreen or keyboard.

[0259] Based on the received information, the server accesses a database in external storage. Here, the server uses a generative AI model to generate a prompt. Based on this prompt, it retrieves relevant information from the external storage via an API, tailored to the user's characteristics. As a specific example, the prompt "Please suggest a relaxing Copenhagen travel plan suitable for MBTI type 'INFP'" is used.

[0260] The server then analyzes the acquired information and generates travel plans based on the user's personality traits. Specifically, it suggests quiet tourist destinations and relaxation-focused plans for introverted users, while creating plans for active and lively places for extroverted users. Furthermore, the server is equipped with an emotion analysis tool, which can be used to analyze the user's psychological state and optimize the travel plan.

[0261] The generated travel plan is sent back to the terminal by the server. The user can review the proposed travel plan on the terminal and request changes if necessary. At this point, the terminal sends the user's change request to the server, which recalculates based on the new conditions and provides an updated plan.

[0262] In this way, the present invention allows users to easily create travel plans that perfectly suit their characteristics and psychological state, making travel preparations efficient and stress-free.

[0263] The flow of the specific processing in Example 1 will be explained using Figure 11.

[0264] Step 1:

[0265] The user enters personal information using a terminal. This information includes MBTI type and travel destination selection. This input data is converted into a digital format by software on the terminal. The converted data is stored in memory as strings and numerical data, ready for communication.

[0266] Step 2:

[0267] The terminal sends formatted characteristic information to the server. A secure data communication method such as HTTPS is used as the transmission protocol. Encryption technology is used during communication to prevent data alteration or leakage.

[0268] Step 3:

[0269] The server analyzes the characteristic information received from the user. This analysis fragments the received data and converts it into a format suitable for the generative AI model. Based on the characteristic information, data for generating prompt statements is prepared.

[0270] Step 4:

[0271] The server accesses a database on an external storage device and sends the generated prompt message to the API of the aforementioned database. A specific prompt message might be, "Please suggest a relaxing Copenhagen travel plan suitable for someone with the MBTI type 'INFP'." This prompt will then retrieve relevant travel information.

[0272] Step 5:

[0273] The server receives the acquired travel information and generates a travel plan based on that information. Here, the server applies an algorithm tailored to the user's characteristics to filter and classify the information. For example, introverted users will be selected for tourist destinations that prioritize relaxation.

[0274] Step 6:

[0275] The server uses emotion analysis tools to analyze the user's psychological state and optimize the travel plan. For example, if the user is feeling stressed, a plan including more relaxing activities will be suggested. Based on the analysis results, the server makes fine adjustments to the plan.

[0276] Step 7:

[0277] The generated travel plan is sent from the server to the terminal. The server formats the plan and shapes the data into a user-friendly structure.

[0278] Step 8:

[0279] The user checks the travel plan on the terminal and requests changes if necessary. For example, a request such as wanting to extend the spa time is possible. The user's request is resent by the terminal to the server.

[0280] Step 9:

[0281] The server receives the user's change request and creates a regenerated plan proposal. The server updates the plan based on the new request while referring to the original plan. The updated travel plan is provided to the terminal again and presented to the user.

[0282] (Application Example 1)

[0283] 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".

[0284] Providing an optimal travel plan for each individual traveler based on their characteristics and feelings and flexibly adjusting the plan according to the changing external situation in real time is an issue that the current travel planning system cannot fully address. In particular, there is a demand for improving the quality of travel experiences that require immediate adaptation to individual emotional states and external environments.

[0285] 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.

[0286] In this invention, the server includes means for receiving the user's characteristic information, means for obtaining information from the external information warehouse, means for generating a travel plan based on the obtained information, means for proposing a tourist route according to the user's characteristics, means for updating the plan in real time based on the external situation, means for analyzing the user's emotional state and adjusting the plan, and means for enabling the user to execute a change request for the plan. Thereby, an optimized and personalized travel experience can be provided for each individual traveler, and flexible changes to the plan in real time are possible.

[0287] "User characteristic information" refers to information that indicates the user's personality and behavioral patterns, and includes psychological characteristics such as MBTI type.

[0288] An "external information warehouse" refers to a database or API that stores information about tourist destinations and accommodations, and serves as a source of information for creating travel plans.

[0289] A "travel plan" refers to a user's planned activities at their travel destination, including details such as places to visit, activities to be done, and time allocation.

[0290] A "user terminal" refers to a communication device, such as a mobile device or computer, used by the user to receive and confirm their travel plan.

[0291] A "tour route" refers to the places to visit at a destination and the order in which they are taken, and it represents a suggested itinerary tailored to the user's characteristics and preferences.

[0292] "External conditions" refer to environmental factors such as weather and event information at the destination, and are elements on which travel plans are adjusted.

[0293] The system for realizing this invention personalizes the user's travel experience based on various characteristic information. The server first receives the user's characteristic information and uses that information to retrieve destination-related data from an external information warehouse. Based on the retrieved data, it generates a travel plan that takes into account the user's personality traits and real-time external conditions.

[0294] This system includes users who use mobile devices such as smartphones and smart glasses. Users input their personal information into their devices, which is then sent to the server. The server uses tourist destination information and environmental data obtained from a database to construct the optimal sightseeing route for the user. Furthermore, the server utilizes a generative AI model to individually adjust the user's travel plan.

[0295] In this process, the server primarily runs Python-based programs and processes data using Flask. Information is also provided to users through a mobile app built with React Native.

[0296] For example, if a user is an INTJ type and is traveling to Barcelona, ​​the system will suggest activities tailored to their personality traits, such as "a tour of Gaudí's architecture" or "relaxing on a quiet beach." This allows users to instantly obtain travel plans based on their individual preferences.

[0297] An example of a prompt might be: "The user's MBTI type is 'INTJ', and they are traveling to Barcelona. The user tends to prefer architecture and quiet activities. Design an optimal one-day itinerary for the user and provide activities at each point." Based on this, the server generates a corresponding travel plan.

[0298] The flow of a specific process in Application Example 1 will be explained using Figure 12.

[0299] Step 1:

[0300] The user enters characteristic information on a terminal. This information includes the user's MBTI type, which indicates their personality. The terminal sends this information to the server. Based on the entered characteristic information, the server collects data that forms the basis for the next processing steps.

[0301] Step 2:

[0302] The server retrieves data on tourist destinations and accommodations from an external data warehouse. This retrieval process involves filtering relevant data based on characteristic information. It receives characteristic information as input, retrieves matching information in real time from a third-party API, and uses it to generate the next travel plan.

[0303] Step 3:

[0304] The server uses the obtained tourism data and the user's characteristic information to generate a travel plan. An algorithm is applied using a generation AI model to propose an optimal tourism route for the user. The input is external data and characteristic information, and the output is a personalized travel plan. At this time, the server makes full use of sentiment analysis technology to also reflect the user's potential preferences.

[0305] Step 4:

[0306] Send the generated travel plan to the user's terminal. The terminal receives the plan and displays it to the user through an interface. The user can view the details of the travel plan and make changes according to their preferences and needs.

[0307] Step 5:

[0308] The user makes a change request for the travel plan through the terminal. This request is sent to the server again, and the server updates the plan using new tourism data and the generation AI model. Based on the input change request, the server performs data calculations and generates an adjusted travel plan.

[0309] Step 6:

[0310] Send the adjusted travel plan to the user's terminal again to prompt for final confirmation. The user checks the plan content and requests readjustment again if necessary to achieve an optimal travel experience.

[0311] Furthermore, an emotion engine for estimating the user's emotions may be combined. That is, the specific processing unit 290 may estimate the user's emotions using the emotion identification model 59 and perform specific processing using the user's emotions.

[0312] This invention begins with the user entering their MBTI type and travel preferences into a terminal. The terminal sends this information to a server, which then retrieves relevant travel data from an external database based on that information. Furthermore, the emotion engine included in this invention recognizes and analyzes the user's emotional state to generate a travel plan tailored to the user's mood and psychological state.

[0313] The emotion engine analyzes the user's current emotional state using their past selection history and real-time feedback data from their device. Based on this information, the server comprehensively considers the user's characteristics and emotional state to design the most suitable travel plan. For example, if the user is an "ENFJ" and their current emotional state is seeking relaxation, the server will propose a travel schedule that combines relaxation and socializing.

[0314] The generated travel plan is sent from the server to the user's device, where they can review it and request further adjustments based on their preferences. Furthermore, the emotion engine monitors user feedback in real time, enabling real-time adjustments to the plan as needed, even during the trip. In this way, a system incorporating the emotion engine provides a travel experience closely tailored to the user's psychological needs, enabling more personalized planning.

[0315] For example, if a user uses their device to select "Bali as a travel destination" and "a relaxing stay," the server uses an emotion engine to suggest a plan that prioritizes relaxation. This includes booking time on the beach and spa treatments. Furthermore, once the user actually begins their trip, the emotion engine provides real-time activity suggestions tailored to the user's satisfaction level and mood.

[0316] The following describes the processing flow.

[0317] Step 1:

[0318] The user enters their MBTI type and travel preferences on the device. This includes destination, budget, and length of stay.

[0319] Step 2:

[0320] The terminal sends the information it receives to the server. This information forms the basis for data processing on the server.

[0321] Step 3:

[0322] The server receives user profile information and uses it to retrieve travel-related information from an external database. This process is automated via an API and includes data such as accommodations, activities, and tourist attractions.

[0323] Step 4:

[0324] The server uses an emotion engine to analyze the user's emotional state. Based on real-time data from the device and past selection history, it evaluates the user's current psychological state.

[0325] Step 5:

[0326] The server integrates trait information and emotional state to generate a travel plan best suited to the user's needs. This includes suggesting schedules and activities that take the user's personality traits into account.

[0327] Step 6:

[0328] The server generates a travel plan and sends it to the user's device. The user can then review this plan on their device and request any necessary adjustments to suit their preferences.

[0329] Step 7:

[0330] The emotion engine continuously receives real-time feedback during the trip, and the server dynamically adjusts the travel plan and makes new suggestions in response to changes in the user's emotional state.

[0331] Step 8:

[0332] If the user requests any changes during the process, the terminal transmits that information to the server. The server then regenerates the plan based on this information and provides the updated plan to the terminal.

[0333] (Example 2)

[0334] 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".

[0335] Conventional travel planning systems have struggled to provide personalized travel plans that fully consider the user's characteristics and emotional state. Furthermore, they lacked sufficient dynamic adjustments to the plan based on real-time feedback during the trip, resulting in a failure to enhance user satisfaction.

[0336] 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.

[0337] In this invention, the server includes means for receiving user characteristic information, means for acquiring information from external information sources, and means for recognizing and analyzing the user's psychological state using emotion analysis means. This enables the provision of more personalized travel plans to users and dynamic adjustment of the plan in real time.

[0338] "Characteristic information" refers to information that indicates a user's individuality and characteristics, including MBTI type and past selection history.

[0339] "External information sources" refer to databases and internet-based information services that the server can use, and are referenced to obtain travel-related data.

[0340] "Emotional analysis methods" refer to analytical techniques for recognizing and analyzing a user's psychological state, utilizing the user's past choice history and real-time feedback.

[0341] A "travel plan" refers to a travel itinerary and activity schedule generated based on the user's characteristics and psychological state.

[0342] "User terminal" refers to a mobile information terminal or computer used by a user, and is a device used to display and manipulate information transmitted from a server.

[0343] "Real-time feedback" refers to information about the user's current emotions and satisfaction levels during their trip, which is used to dynamically adjust the plan.

[0344] The system of this invention begins with the user inputting their personal information into a user terminal. For example, the user inputs their MBTI type (e.g., ENFJ) and travel preferences (e.g., a trip to Bali, a relaxed stay). The terminal has an interface for transmitting this information to a server.

[0345] Upon receiving this information, the server retrieves relevant travel data by referencing external sources. Databases and online information services are the primary external sources. This allows the server to collect detailed information about destinations and travel styles.

[0346] Simultaneously, the server analyzes the user's emotional state using sentiment analysis tools. This analysis utilizes the user's past selection history and real-time feedback from the device. Based on this, the user's psychological state is inferred, and an optimal travel plan is formulated based on their current mood and needs.

[0347] The server generates prompt sentences using a generative AI model based on the acquired data and sentiment analysis. For example, it might send an instruction to the AI ​​model such as, "Suggest a Bali travel plan for an ENFJ user seeking relaxation." Based on this prompt, the AI ​​generates the optimal travel plan.

[0348] The generated travel plan is sent to the user's terminal, where the user can review its contents and request adjustments to suit their preferences. By receiving real-time feedback from the terminal, the server can adjust the plan even during the trip according to the user's mood and satisfaction. In this way, the system of the present invention makes it possible to provide a personalized travel experience that is suitable for the user.

[0349] The flow of the specific processing in Example 2 will be explained using Figure 13.

[0350] Step 1:

[0351] The user uses a terminal to input their personal information and desired conditions. Specifically, they fill in information such as their MBTI type, travel destination, and preferred style of stay in an input form. This input data is sent to the server and passed on to the next step.

[0352] Step 2:

[0353] Upon receiving user information sent from the terminal, the server issues a query to an external information source to retrieve relevant travel data. This retrieves information such as destination area, accommodation, and local activities from the database. This data is then used in the next processing step.

[0354] Step 3:

[0355] The server analyzes the user's psychological state using sentiment analysis tools. Inputs include the user's past selection history and real-time feedback data. Sentiment analysis identifies the user's mood and needs, and these results are reflected in the generated travel plan.

[0356] Step 4:

[0357] The server generates prompt messages based on the acquired travel data and sentiment analysis results. It sends a prompt message to the generating AI model such as, "Please suggest a Bali travel plan for an ENFJ user seeking relaxation." Based on this prompt, the AI ​​model generates a travel plan, and the server receives that plan.

[0358] Step 5:

[0359] The generated travel plan is sent from the server to the user's terminal. The user reviews the plan and, if necessary, sends adjustment requests from their terminal to the server, such as changing destinations or adding activities. Upon receiving these requests, the server readjusts the travel plan.

[0360] Step 6:

[0361] During the trip, the device collects real-time feedback and sends it to the server. The server analyzes this feedback using sentiment analysis tools, provides real-time activity suggestions as needed, and dynamically adjusts the travel plan. This makes it possible to improve user satisfaction.

[0362] (Application Example 2)

[0363] 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."

[0364] In modern society, as consumers increasingly seek personalized experiences, there is a growing demand for personalized services based on user characteristics and emotional states. In particular, there is a lack of suggestions that meet users' psychological and emotional needs when it comes to choices regarding dining, travel, and entertainment, and this failure to meet these needs leads to a decline in overall satisfaction.

[0365] 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.

[0366] In this invention, the server includes means for receiving user characteristic data, means for acquiring information from external information sources, and means for generating a visit plan and a meal plan based on the acquired information. This makes it possible to provide highly personalized services that are tailored to the user's characteristics and emotional data.

[0367] A "user" refers to an individual consumer who uses a system to receive information or services.

[0368] "Characteristic data" refers to information about the user's psychological characteristics and behavior, and mainly includes personality indicators such as MBTI types.

[0369] "Emotional data" refers to data that reflects the user's current psychological state and is obtained based on real-time feedback and historical data.

[0370] "External information sources" refer to external databases or information providers that the system accesses to obtain the data it needs.

[0371] "Planned destinations" refers to travel and sightseeing schedules suggested based on the user's characteristics and emotional data.

[0372] A "meal plan" refers to a plan that presents dishes and meal options tailored to the user's characteristics and emotional data.

[0373] A "server" refers to a computer system that processes data from users, collects information from external sources, and generates content.

[0374] To implement this invention, it is necessary to build a system in which user terminals, servers, and various software components work together. Users input their characteristic data and emotional data using terminals such as smartphones and tablets. This includes MBTI type and current psychological state.

[0375] The data sent from the terminal is sent to the server. The server uses Python and JavaScript programs for data analysis. It also uses PostgreSQL for database management and Python natural language processing libraries (such as NLTK and SpaCy) for data analysis. Based on the user's characteristic data and sentiment data, the server retrieves travel destination data and food information from relevant external sources.

[0376] Based on the acquired information, the server generates a visit plan and meal plan. In this process, a generation AI model is used, and fine-tuning is performed in real time to propose the most suitable plan for the user.

[0377] For example, if a user in this system identifies as "ENFJ" and requests "relaxing travel and meals," the server will suggest a relaxing plan in Bali and healthy, relaxing meal options. Similarly, if the user requests "adventurous meals," the system can suggest spicy ethnic cuisine.

[0378] Examples of prompt statements are as follows:

[0379] User MBTI type: ENFJ

[0380] Current emotional state: Relaxed

[0381] Desired culinary theme: Healthy and comforting

[0382] Suggested meal menu: Japanese-style tofu salad, matcha latte

[0383] The flow of a specific process in Application Example 2 will be explained using Figure 14.

[0384] Step 1:

[0385] The user inputs characteristic data and emotional data using a terminal. The input data includes the user's MBTI type and current emotional state. This information is sent from the terminal to the server.

[0386] Step 2:

[0387] The server receives trait and sentiment data, queries the database to retrieve relevant information, and uses Python's natural language processing library to analyze the input data and extract useful insights.

[0388] Step 3:

[0389] Based on the information acquired and analyzed by the server, a generative AI model is used to generate a visit plan and a meal plan. The data processing involved includes calculations to select candidates that are suitable for the user's characteristics and emotional state. The generated plan is then evaluated to determine if it matches the user's preferences.

[0390] Step 4:

[0391] The server sends the generated visit plan and meal plan to the terminal. The user receives this and can review it on the screen. If the user has any additional requests or desired changes, that feedback is sent to the server in real time.

[0392] Step 5:

[0393] The server receives feedback from the user and readjusts the plan as needed. Generative AI models are also used in this process, allowing for rapid revisions to the plan that reflect user needs. Prompts are used to generate suggestions that better fit the user.

[0394] 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.

[0395] 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.

[0396] 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.

[0397] [Third Embodiment]

[0398] Figure 5 shows an example of the configuration of the data processing system 310 according to the third embodiment.

[0399] 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.

[0400] 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).

[0401] 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.

[0402] 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.

[0403] 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).

[0404] 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.

[0405] 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.

[0406] 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.

[0407] 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.

[0408] 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.

[0409] 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".

[0410] This invention begins with the user inputting characteristic information such as their MBTI type. The user inputs this information using a terminal, which then transmits it to a server. The server uses an external database API to retrieve relevant travel data based on the received characteristic information. Based on this retrieved information, the server automatically generates a travel plan optimized for the user.

[0411] In generating travel plans, the server applies algorithms that reflect the user's personality traits. For example, for introverted users, it creates plans that focus on quiet tourist destinations and individual activities. On the other hand, for extroverted users, it provides plans that include group activities and lively places. In this process, sentiment analysis tools are used to analyze the user's emotional state and further personalize the travel plan.

[0412] The generated travel plan is sent from the server to the user's device. The user can review this travel plan on the device and request adjustments according to their preferences. The device sends the request back to the server, which then generates a new plan reflecting the changes. In this way, users can easily create a travel plan that suits them, resulting in less stressful travel preparation.

[0413] As a concrete example, consider a scenario where a user enters their MBTI type as "INFP" and selects "Copenhagen" as their travel destination. The server suggests quiet tourist spots in Copenhagen, relaxation activities for a hygge experience, and accommodations. The schedule includes personal time and sightseeing plans that avoid crowds. The user reviews these suggestions, and if they wish to extend their spa time, they can request changes from the server via their device and receive an updated plan.

[0414] The following describes the processing flow.

[0415] Step 1:

[0416] Users enter their MBTI type and travel preferences (e.g., destination, budget, dates) into the device. This data is collected through a form.

[0417] Step 2:

[0418] The terminal sends the entered information to the server. This is usually done via an HTTP request, which sends the data to the server.

[0419] Step 3:

[0420] The server retrieves user characteristic information received and retrieves information from an external database to collect appropriate travel data. At this stage, data is collected via an API.

[0421] Step 4:

[0422] Based on the data collected by the server, a travel plan is generated that is tailored to the user's MBTI type. This uses a proprietary algorithm that reflects the user's personality traits.

[0423] Step 5:

[0424] The server uses emotion analysis tools to assess the user's emotional state and make adjustments to personalize the generated travel plan.

[0425] Step 6:

[0426] The server sends the final travel plan to the device. This data transmission is usually done in JSON or a similar format.

[0427] Step 7:

[0428] The user reviews the proposed travel plan on their device and requests adjustments as needed. The device then sends the request back to the server.

[0429] Step 8:

[0430] The server readjusts the travel plan based on the user's change request and generates an updated plan. The new plan is then sent back to the device.

[0431] (Example 1)

[0432] 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."

[0433] In modern society, it is difficult to create optimal travel plans tailored to the individual characteristics and preferences of each user without requiring significant effort. In particular, there is a need for systems that efficiently optimize plans to reflect the user's psychological state and respond to real-time change requests.

[0434] 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.

[0435] In this invention, the server includes means for providing a device for inputting the user's individual characteristics information, means for transmitting this information to a data processing device via a communication device, and means for acquiring related information from an external storage device. This enables the automatic generation of an optimal travel plan tailored to the user's characteristics, the optimization of the plan considering the user's psychological state, and a rapid response to the user's requests for modifications.

[0436] A "user" refers to an individual or group who wishes to use the system to plan a trip.

[0437] "Characteristic information" refers to data that indicates individual travel requirements, such as the user's personality type and preferences.

[0438] "Input device" refers to electronic devices or software used by users to input characteristic information into the system.

[0439] "Communication equipment" refers to network interfaces and protocols used for sending and receiving data.

[0440] A "data processing device" refers to a computer or its internal processing unit used to analyze and process received data.

[0441] "External storage device" refers to a database or storage system used to store travel-related data.

[0442] "Related information" refers to data about travel destinations and activities extracted based on the user's characteristics.

[0443] A "travel plan" refers to a travel schedule and suggestions tailored to the user's individual needs and psychological state.

[0444] "Psychological state" refers to a temporary psychological condition that indicates a user's emotions and mood and influences their judgment.

[0445] "Means for requesting revisions" refers to the mechanisms or interfaces that users use to propose changes to existing travel plans.

[0446] A description of embodiments for carrying out this invention will be given.

[0447] First, the user uses a terminal to input their personal information, such as their MBTI type and travel destination selection. This information is converted into a data format by the user's terminal and sent to the server using a secure communication protocol. The terminal must be equipped with an input device such as a touchscreen or keyboard.

[0448] Based on the received information, the server accesses a database in external storage. Here, the server uses a generative AI model to generate a prompt. Based on this prompt, it retrieves relevant information from the external storage via an API, tailored to the user's characteristics. As a specific example, the prompt "Please suggest a relaxing Copenhagen travel plan suitable for MBTI type 'INFP'" is used.

[0449] The server then analyzes the acquired information and generates travel plans based on the user's personality traits. Specifically, it suggests quiet tourist destinations and relaxation-focused plans for introverted users, while creating plans for active and lively places for extroverted users. Furthermore, the server is equipped with an emotion analysis tool, which can be used to analyze the user's psychological state and optimize the travel plan.

[0450] The generated travel plan is sent back to the terminal by the server. The user can review the proposed travel plan on the terminal and request changes if necessary. At this point, the terminal sends the user's change request to the server, which recalculates based on the new conditions and provides an updated plan.

[0451] In this way, the present invention allows users to easily create travel plans that perfectly suit their characteristics and psychological state, making travel preparations efficient and stress-free.

[0452] The flow of the specific processing in Example 1 will be explained using Figure 11.

[0453] Step 1:

[0454] The user enters personal information using a terminal. This information includes MBTI type and travel destination selection. This input data is converted into a digital format by software on the terminal. The converted data is stored in memory as strings and numerical data, ready for communication.

[0455] Step 2:

[0456] The terminal sends formatted characteristic information to the server. A secure data communication method such as HTTPS is used as the transmission protocol. Encryption technology is used during communication to prevent data alteration or leakage.

[0457] Step 3:

[0458] The server analyzes the characteristic information received from the user. This analysis fragments the received data and converts it into a format suitable for the generative AI model. Based on the characteristic information, data for generating prompt statements is prepared.

[0459] Step 4:

[0460] The server accesses a database on an external storage device and sends the generated prompt message to the API of the aforementioned database. A specific prompt message might be, "Please suggest a relaxing Copenhagen travel plan suitable for someone with the MBTI type 'INFP'." This prompt will then retrieve relevant travel information.

[0461] Step 5:

[0462] The server receives the acquired travel information and generates a travel plan based on that information. Here, the server applies an algorithm tailored to the user's characteristics to filter and classify the information. For example, introverted users will be selected for tourist destinations that prioritize relaxation.

[0463] Step 6:

[0464] The server uses emotion analysis tools to analyze the user's psychological state and optimize the travel plan. For example, if the user is feeling stressed, a plan including more relaxing activities will be suggested. Based on the analysis results, the server makes fine adjustments to the plan.

[0465] Step 7:

[0466] The generated travel plan is sent from the server to the terminal. The server formats the plan and shapes the data into a user-friendly structure.

[0467] Step 8:

[0468] Users can review their travel plans on their devices and request changes as needed. For example, they can request to extend their spa time. The user's requests are then resent to the server by the device.

[0469] Step 9:

[0470] The server receives the user's change request and creates a regenerated plan. The server updates the plan based on the new request, referencing the original plan. The updated travel plan is then provided to the terminal and presented to the user.

[0471] (Application Example 1)

[0472] 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."

[0473] Providing individual travelers with optimal travel plans based on their characteristics and emotions, and flexibly adjusting those plans in response to real-time changes in external conditions, are challenges that current travel planning systems are unable to adequately address. In particular, there is a need to improve the quality of the travel experience, which requires immediate adaptation to individual emotional states and external environments.

[0474] 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.

[0475] In this invention, the server includes means for receiving user characteristic information, means for acquiring information from an external information warehouse, means for generating a travel plan based on the acquired information, means for proposing a sightseeing route tailored to the user's characteristics, means for updating the plan in real time based on external conditions, means for analyzing the user's emotional state and adjusting the plan, and means for the user to submit a change request to the plan. This enables the provision of a personalized and optimal travel experience to individual travelers and allows for flexible changes to the plan in real time.

[0476] "User characteristic information" refers to information that indicates the user's personality and behavioral patterns, and includes psychological characteristics such as MBTI type.

[0477] An "external information warehouse" refers to a database or API that stores information about tourist destinations and accommodations, and serves as a source of information for creating travel plans.

[0478] A "travel plan" refers to a user's planned activities at their travel destination, including details such as places to visit, activities to be done, and time allocation.

[0479] A "user terminal" refers to a communication device, such as a mobile device or computer, used by the user to receive and confirm their travel plan.

[0480] A "tour route" refers to the places to visit at a destination and the order in which they are taken, and it represents a suggested itinerary tailored to the user's characteristics and preferences.

[0481] "External conditions" refer to environmental factors such as weather and event information at the destination, and are elements on which travel plans are adjusted.

[0482] The system for realizing this invention personalizes the user's travel experience based on various characteristic information. The server first receives the user's characteristic information and uses that information to retrieve destination-related data from an external information warehouse. Based on the retrieved data, it generates a travel plan that takes into account the user's personality traits and real-time external conditions.

[0483] This system includes users who use mobile devices such as smartphones and smart glasses. Users input their personal information into their devices, which is then sent to the server. The server uses tourist destination information and environmental data obtained from a database to construct the optimal sightseeing route for the user. Furthermore, the server utilizes a generative AI model to individually adjust the user's travel plan.

[0484] In this process, the server primarily runs Python-based programs and processes data using Flask. Information is also provided to users through a mobile app built with React Native.

[0485] For example, if a user is an INTJ type and is traveling to Barcelona, ​​the system will suggest activities tailored to their personality traits, such as "a tour of Gaudí's architecture" or "relaxing on a quiet beach." This allows users to instantly obtain travel plans based on their individual preferences.

[0486] An example of a prompt might be: "The user's MBTI type is 'INTJ', and they are traveling to Barcelona. The user tends to prefer architecture and quiet activities. Design an optimal one-day itinerary for the user and provide activities at each point." Based on this, the server generates a corresponding travel plan.

[0487] The flow of a specific process in Application Example 1 will be explained using Figure 12.

[0488] Step 1:

[0489] The user enters characteristic information on a terminal. This information includes the user's MBTI type, which indicates their personality. The terminal sends this information to the server. Based on the entered characteristic information, the server collects data that forms the basis for the next processing steps.

[0490] Step 2:

[0491] The server retrieves data on tourist destinations and accommodations from an external data warehouse. This retrieval process involves filtering relevant data based on characteristic information. It receives characteristic information as input, retrieves matching information in real time from a third-party API, and uses it to generate the next travel plan.

[0492] Step 3:

[0493] The server generates a travel plan using acquired tourism data and user characteristic information. Using a generative AI model, it applies algorithms to suggest the optimal sightseeing route for the user. The input is external data and characteristic information, and the output is a personalized travel plan. In this process, the server also incorporates sentiment analysis technology to reflect the user's latent preferences.

[0494] Step 4:

[0495] The generated travel plan is sent to the user's device. The device receives the plan and displays it to the user via an interface. The user can view the details of the travel plan and modify it according to their preferences and needs.

[0496] Step 5:

[0497] Users submit requests to change their travel plans through their devices. These requests are sent back to the server, which updates the plan using new tourism data and a generative AI model. Based on the submitted change requests, the server performs data calculations and generates an adjusted travel plan.

[0498] Step 6:

[0499] The adjusted travel plan is sent back to the user's device for final confirmation. The user reviews the plan and requests further adjustments as needed to achieve the optimal travel experience.

[0500] 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.

[0501] This invention begins with the user entering their MBTI type and travel preferences into a terminal. The terminal sends this information to a server, which then retrieves relevant travel data from an external database based on that information. Furthermore, the emotion engine included in this invention recognizes and analyzes the user's emotional state to generate a travel plan tailored to the user's mood and psychological state.

[0502] The emotion engine analyzes the user's current emotional state using their past selection history and real-time feedback data from their device. Based on this information, the server comprehensively considers the user's characteristics and emotional state to design the most suitable travel plan. For example, if the user is an "ENFJ" and their current emotional state is seeking relaxation, the server will propose a travel schedule that combines relaxation and socializing.

[0503] The generated travel plan is sent from the server to the user's device, where they can review it and request further adjustments based on their preferences. Furthermore, the emotion engine monitors user feedback in real time, enabling real-time adjustments to the plan as needed, even during the trip. In this way, a system incorporating the emotion engine provides a travel experience closely tailored to the user's psychological needs, enabling more personalized planning.

[0504] For example, if a user uses their device to select "Bali as a travel destination" and "a relaxing stay," the server uses an emotion engine to suggest a plan that prioritizes relaxation. This includes booking time on the beach and spa treatments. Furthermore, once the user actually begins their trip, the emotion engine provides real-time activity suggestions tailored to the user's satisfaction level and mood.

[0505] The following describes the processing flow.

[0506] Step 1:

[0507] The user enters their MBTI type and travel preferences on the device. This includes destination, budget, and length of stay.

[0508] Step 2:

[0509] The terminal sends the information it receives to the server. This information forms the basis for data processing on the server.

[0510] Step 3:

[0511] The server receives user profile information and uses it to retrieve travel-related information from an external database. This process is automated via an API and includes data such as accommodations, activities, and tourist attractions.

[0512] Step 4:

[0513] The server uses an emotion engine to analyze the user's emotional state. Based on real-time data from the device and past selection history, it evaluates the user's current psychological state.

[0514] Step 5:

[0515] The server integrates trait information and emotional state to generate a travel plan best suited to the user's needs. This includes suggesting schedules and activities that take the user's personality traits into account.

[0516] Step 6:

[0517] The server generates a travel plan and sends it to the user's device. The user can then review this plan on their device and request any necessary adjustments to suit their preferences.

[0518] Step 7:

[0519] The emotion engine continuously receives real-time feedback during the trip, and the server dynamically adjusts the travel plan and makes new suggestions in response to changes in the user's emotional state.

[0520] Step 8:

[0521] If the user requests any changes during the process, the terminal transmits that information to the server. The server then regenerates the plan based on this information and provides the updated plan to the terminal.

[0522] (Example 2)

[0523] 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."

[0524] Conventional travel planning systems have struggled to provide personalized travel plans that fully consider the user's characteristics and emotional state. Furthermore, they lacked sufficient dynamic adjustments to the plan based on real-time feedback during the trip, resulting in a failure to enhance user satisfaction.

[0525] 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.

[0526] In this invention, the server includes means for receiving user characteristic information, means for acquiring information from external information sources, and means for recognizing and analyzing the user's psychological state using emotion analysis means. This enables the provision of more personalized travel plans to users and dynamic adjustment of the plan in real time.

[0527] "Characteristic information" refers to information that indicates a user's individuality and characteristics, including MBTI type and past selection history.

[0528] "External information sources" refer to databases and internet-based information services that the server can use, and are referenced to obtain travel-related data.

[0529] "Emotional analysis methods" refer to analytical techniques for recognizing and analyzing a user's psychological state, utilizing the user's past choice history and real-time feedback.

[0530] A "travel plan" refers to a travel itinerary and activity schedule generated based on the user's characteristics and psychological state.

[0531] "User terminal" refers to a mobile information terminal or computer used by a user, and is a device used to display and manipulate information transmitted from a server.

[0532] "Real-time feedback" refers to information about the user's current emotions and satisfaction levels during their trip, which is used to dynamically adjust the plan.

[0533] The system of this invention begins with the user inputting their personal information into a user terminal. For example, the user inputs their MBTI type (e.g., ENFJ) and travel preferences (e.g., a trip to Bali, a relaxed stay). The terminal has an interface for transmitting this information to a server.

[0534] Upon receiving this information, the server retrieves relevant travel data by referencing external sources. Databases and online information services are the primary external sources. This allows the server to collect detailed information about destinations and travel styles.

[0535] Simultaneously, the server analyzes the user's emotional state using sentiment analysis tools. This analysis utilizes the user's past selection history and real-time feedback from the device. Based on this, the user's psychological state is inferred, and an optimal travel plan is formulated based on their current mood and needs.

[0536] The server generates prompt sentences using a generative AI model based on the acquired data and sentiment analysis. For example, it might send an instruction to the AI ​​model such as, "Suggest a Bali travel plan for an ENFJ user seeking relaxation." Based on this prompt, the AI ​​generates the optimal travel plan.

[0537] The generated travel plan is sent to the user's terminal, where the user can review its contents and request adjustments to suit their preferences. By receiving real-time feedback from the terminal, the server can adjust the plan even during the trip according to the user's mood and satisfaction. In this way, the system of the present invention makes it possible to provide a personalized travel experience that is suitable for the user.

[0538] The flow of the specific processing in Example 2 will be explained using Figure 13.

[0539] Step 1:

[0540] The user uses a terminal to input their personal information and desired conditions. Specifically, they fill in information such as their MBTI type, travel destination, and preferred style of stay in an input form. This input data is sent to the server and passed on to the next step.

[0541] Step 2:

[0542] Upon receiving user information sent from the terminal, the server issues a query to an external information source to retrieve relevant travel data. This retrieves information such as destination area, accommodation, and local activities from the database. This data is then used in the next processing step.

[0543] Step 3:

[0544] The server analyzes the user's psychological state using sentiment analysis tools. Inputs include the user's past selection history and real-time feedback data. Sentiment analysis identifies the user's mood and needs, and these results are reflected in the generated travel plan.

[0545] Step 4:

[0546] The server generates prompt messages based on the acquired travel data and sentiment analysis results. It sends a prompt message to the generating AI model such as, "Please suggest a Bali travel plan for an ENFJ user seeking relaxation." Based on this prompt, the AI ​​model generates a travel plan, and the server receives that plan.

[0547] Step 5:

[0548] The generated travel plan is sent from the server to the user's terminal. The user reviews the plan and, if necessary, sends adjustment requests from their terminal to the server, such as changing destinations or adding activities. Upon receiving these requests, the server readjusts the travel plan.

[0549] Step 6:

[0550] During the trip, the device collects real-time feedback and sends it to the server. The server analyzes this feedback using sentiment analysis tools, provides real-time activity suggestions as needed, and dynamically adjusts the travel plan. This makes it possible to improve user satisfaction.

[0551] (Application Example 2)

[0552] 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."

[0553] In modern society, as consumers increasingly seek personalized experiences, there is a growing demand for personalized services based on user characteristics and emotional states. In particular, there is a lack of suggestions that meet users' psychological and emotional needs when it comes to choices regarding dining, travel, and entertainment, and this failure to meet these needs leads to a decline in overall satisfaction.

[0554] 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.

[0555] In this invention, the server includes means for receiving user characteristic data, means for acquiring information from external information sources, and means for generating a visit plan and a meal plan based on the acquired information. This makes it possible to provide highly personalized services that are tailored to the user's characteristics and emotional data.

[0556] A "user" refers to an individual consumer who uses a system to receive information or services.

[0557] "Characteristic data" refers to information about the user's psychological characteristics and behavior, and mainly includes personality indicators such as MBTI types.

[0558] "Emotional data" refers to data that reflects the user's current psychological state and is obtained based on real-time feedback and historical data.

[0559] "External information sources" refer to external databases or information providers that the system accesses to obtain the data it needs.

[0560] "Planned destinations" refers to travel and sightseeing schedules suggested based on the user's characteristics and emotional data.

[0561] A "meal plan" refers to a plan that presents dishes and meal options tailored to the user's characteristics and emotional data.

[0562] A "server" refers to a computer system that processes data from users, collects information from external sources, and generates content.

[0563] To implement this invention, it is necessary to build a system in which user terminals, servers, and various software components work together. Users input their characteristic data and emotional data using terminals such as smartphones and tablets. This includes MBTI type and current psychological state.

[0564] The data sent from the terminal is sent to the server. The server uses Python and JavaScript programs for data analysis. It also uses PostgreSQL for database management and Python natural language processing libraries (such as NLTK and SpaCy) for data analysis. Based on the user's characteristic data and sentiment data, the server retrieves travel destination data and food information from relevant external sources.

[0565] Based on the acquired information, the server generates a visit plan and meal plan. In this process, a generation AI model is used, and fine-tuning is performed in real time to propose the most suitable plan for the user.

[0566] For example, if a user in this system identifies as "ENFJ" and requests "relaxing travel and meals," the server will suggest a relaxing plan in Bali and healthy, relaxing meal options. Similarly, if the user requests "adventurous meals," the system can suggest spicy ethnic cuisine.

[0567] Examples of prompt statements are as follows:

[0568] User MBTI type: ENFJ

[0569] Current emotional state: Relaxed

[0570] Desired culinary theme: Healthy and comforting

[0571] Suggested meal menu: Japanese-style tofu salad, matcha latte

[0572] The flow of a specific process in Application Example 2 will be explained using Figure 14.

[0573] Step 1:

[0574] The user inputs characteristic data and emotional data using a terminal. The input data includes the user's MBTI type and current emotional state. This information is sent from the terminal to the server.

[0575] Step 2:

[0576] The server receives trait and sentiment data, queries the database to retrieve relevant information, and uses Python's natural language processing library to analyze the input data and extract useful insights.

[0577] Step 3:

[0578] Based on the information acquired and analyzed by the server, a generative AI model is used to generate a visit plan and a meal plan. The data processing involved includes calculations to select candidates that are suitable for the user's characteristics and emotional state. The generated plan is then evaluated to determine if it matches the user's preferences.

[0579] Step 4:

[0580] The server sends the generated visit plan and meal plan to the terminal. The user receives this and can review it on the screen. If the user has any additional requests or desired changes, that feedback is sent to the server in real time.

[0581] Step 5:

[0582] The server receives feedback from the user and readjusts the plan as needed. Generative AI models are also used in this process, allowing for rapid revisions to the plan that reflect user needs. Prompts are used to generate suggestions that better fit the user.

[0583] 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.

[0584] 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.

[0585] 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.

[0586] [Fourth Embodiment]

[0587] Figure 7 shows an example of the configuration of the data processing system 410 according to the fourth embodiment.

[0588] 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.

[0589] 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).

[0590] 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.

[0591] 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.

[0592] 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).

[0593] 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.

[0594] 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.

[0595] 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.

[0596] 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.

[0597] 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.

[0598] 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.

[0599] 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".

[0600] This invention begins with the user inputting characteristic information such as their MBTI type. The user inputs this information using a terminal, which then transmits it to a server. The server uses an external database API to retrieve relevant travel data based on the received characteristic information. Based on this retrieved information, the server automatically generates a travel plan optimized for the user.

[0601] In generating travel plans, the server applies algorithms that reflect the user's personality traits. For example, for introverted users, it creates plans that focus on quiet tourist destinations and individual activities. On the other hand, for extroverted users, it provides plans that include group activities and lively places. In this process, sentiment analysis tools are used to analyze the user's emotional state and further personalize the travel plan.

[0602] The generated travel plan is sent from the server to the user's device. The user can review this travel plan on the device and request adjustments according to their preferences. The device sends the request back to the server, which then generates a new plan reflecting the changes. In this way, users can easily create a travel plan that suits them, resulting in less stressful travel preparation.

[0603] As a concrete example, consider a scenario where a user enters their MBTI type as "INFP" and selects "Copenhagen" as their travel destination. The server suggests quiet tourist spots in Copenhagen, relaxation activities for a hygge experience, and accommodations. The schedule includes personal time and sightseeing plans that avoid crowds. The user reviews these suggestions, and if they wish to extend their spa time, they can request changes from the server via their device and receive an updated plan.

[0604] The following describes the processing flow.

[0605] Step 1:

[0606] Users enter their MBTI type and travel preferences (e.g., destination, budget, dates) into the device. This data is collected through a form.

[0607] Step 2:

[0608] The terminal sends the entered information to the server. This is usually done via an HTTP request, which sends the data to the server.

[0609] Step 3:

[0610] The server retrieves user characteristic information received and retrieves information from an external database to collect appropriate travel data. At this stage, data is collected via an API.

[0611] Step 4:

[0612] Based on the data collected by the server, a travel plan is generated that is tailored to the user's MBTI type. This uses a proprietary algorithm that reflects the user's personality traits.

[0613] Step 5:

[0614] The server uses emotion analysis tools to assess the user's emotional state and make adjustments to personalize the generated travel plan.

[0615] Step 6:

[0616] The server sends the final travel plan to the device. This data transmission is usually done in JSON or a similar format.

[0617] Step 7:

[0618] The user reviews the proposed travel plan on their device and requests adjustments as needed. The device then sends the request back to the server.

[0619] Step 8:

[0620] The server readjusts the travel plan based on the user's change request and generates an updated plan. The new plan is then sent back to the device.

[0621] (Example 1)

[0622] 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".

[0623] In modern society, it is difficult to create optimal travel plans tailored to the individual characteristics and preferences of each user without requiring significant effort. In particular, there is a need for systems that efficiently optimize plans to reflect the user's psychological state and respond to real-time change requests.

[0624] 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.

[0625] In this invention, the server includes means for providing a device for inputting the user's individual characteristics information, means for transmitting this information to a data processing device via a communication device, and means for acquiring related information from an external storage device. This enables the automatic generation of an optimal travel plan tailored to the user's characteristics, the optimization of the plan considering the user's psychological state, and a rapid response to the user's requests for modifications.

[0626] A "user" refers to an individual or group who wishes to use the system to plan a trip.

[0627] "Characteristic information" refers to data that indicates individual travel requirements, such as the user's personality type and preferences.

[0628] "Input device" refers to electronic devices or software used by users to input characteristic information into the system.

[0629] "Communication equipment" refers to network interfaces and protocols used for sending and receiving data.

[0630] A "data processing device" refers to a computer or its internal processing unit used to analyze and process received data.

[0631] "External storage device" refers to a database or storage system used to store travel-related data.

[0632] "Related information" refers to data about travel destinations and activities extracted based on the user's characteristics.

[0633] A "travel plan" refers to a travel schedule and suggestions tailored to the user's individual needs and psychological state.

[0634] "Psychological state" refers to a temporary psychological condition that indicates a user's emotions and mood and influences their judgment.

[0635] "Means for requesting revisions" refers to the mechanisms or interfaces that users use to propose changes to existing travel plans.

[0636] A description of embodiments for carrying out this invention will be given.

[0637] First, the user uses a terminal to input their personal information, such as their MBTI type and travel destination selection. This information is converted into a data format by the user's terminal and sent to the server using a secure communication protocol. The terminal must be equipped with an input device such as a touchscreen or keyboard.

[0638] Based on the received information, the server accesses a database in external storage. Here, the server uses a generative AI model to generate a prompt. Based on this prompt, it retrieves relevant information from the external storage via an API, tailored to the user's characteristics. As a specific example, the prompt "Please suggest a relaxing Copenhagen travel plan suitable for MBTI type 'INFP'" is used.

[0639] The server then analyzes the acquired information and generates travel plans based on the user's personality traits. Specifically, it suggests quiet tourist destinations and relaxation-focused plans for introverted users, while creating plans for active and lively places for extroverted users. Furthermore, the server is equipped with an emotion analysis tool, which can be used to analyze the user's psychological state and optimize the travel plan.

[0640] The generated travel plan is sent back to the terminal by the server. The user can review the proposed travel plan on the terminal and request changes if necessary. At this point, the terminal sends the user's change request to the server, which recalculates based on the new conditions and provides an updated plan.

[0641] In this way, the present invention allows users to easily create travel plans that perfectly suit their characteristics and psychological state, making travel preparations efficient and stress-free.

[0642] The flow of the specific processing in Example 1 will be explained using Figure 11.

[0643] Step 1:

[0644] The user enters personal information using a terminal. This information includes MBTI type and travel destination selection. This input data is converted into a digital format by software on the terminal. The converted data is stored in memory as strings and numerical data, ready for communication.

[0645] Step 2:

[0646] The terminal sends formatted characteristic information to the server. A secure data communication method such as HTTPS is used as the transmission protocol. Encryption technology is used during communication to prevent data alteration or leakage.

[0647] Step 3:

[0648] The server analyzes the characteristic information received from the user. This analysis fragments the received data and converts it into a format suitable for the generative AI model. Based on the characteristic information, data for generating prompt statements is prepared.

[0649] Step 4:

[0650] The server accesses a database on an external storage device and sends the generated prompt message to the API of the aforementioned database. A specific prompt message might be, "Please suggest a relaxing Copenhagen travel plan suitable for someone with the MBTI type 'INFP'." This prompt will then retrieve relevant travel information.

[0651] Step 5:

[0652] The server receives the acquired travel information and generates a travel plan based on that information. Here, the server applies an algorithm tailored to the user's characteristics to filter and classify the information. For example, introverted users will be selected for tourist destinations that prioritize relaxation.

[0653] Step 6:

[0654] The server uses emotion analysis tools to analyze the user's psychological state and optimize the travel plan. For example, if the user is feeling stressed, a plan including more relaxing activities will be suggested. Based on the analysis results, the server makes fine adjustments to the plan.

[0655] Step 7:

[0656] The generated travel plan is sent from the server to the terminal. The server formats the plan and shapes the data into a user-friendly structure.

[0657] Step 8:

[0658] Users can review their travel plans on their devices and request changes as needed. For example, they can request to extend their spa time. The user's requests are then resent to the server by the device.

[0659] Step 9:

[0660] The server receives the user's change request and creates a regenerated plan. The server updates the plan based on the new request, referencing the original plan. The updated travel plan is then provided to the terminal and presented to the user.

[0661] (Application Example 1)

[0662] 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".

[0663] Providing individual travelers with optimal travel plans based on their characteristics and emotions, and flexibly adjusting those plans in response to real-time changes in external conditions, are challenges that current travel planning systems are unable to adequately address. In particular, there is a need to improve the quality of the travel experience, which requires immediate adaptation to individual emotional states and external environments.

[0664] 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.

[0665] In this invention, the server includes means for receiving user characteristic information, means for acquiring information from an external information warehouse, means for generating a travel plan based on the acquired information, means for proposing a sightseeing route tailored to the user's characteristics, means for updating the plan in real time based on external conditions, means for analyzing the user's emotional state and adjusting the plan, and means for the user to submit a change request to the plan. This enables the provision of a personalized and optimal travel experience to individual travelers and allows for flexible changes to the plan in real time.

[0666] "User characteristic information" refers to information that indicates the user's personality and behavioral patterns, and includes psychological characteristics such as MBTI type.

[0667] An "external information warehouse" refers to a database or API that stores information about tourist destinations and accommodations, and serves as a source of information for creating travel plans.

[0668] A "travel plan" refers to a user's planned activities at their travel destination, including details such as places to visit, activities to be done, and time allocation.

[0669] A "user terminal" refers to a communication device, such as a mobile device or computer, used by the user to receive and confirm their travel plan.

[0670] A "tour route" refers to the places to visit at a destination and the order in which they are taken, and it represents a suggested itinerary tailored to the user's characteristics and preferences.

[0671] "External conditions" refer to environmental factors such as weather and event information at the destination, and are elements on which travel plans are adjusted.

[0672] The system for realizing this invention personalizes the user's travel experience based on various characteristic information. The server first receives the user's characteristic information and uses that information to retrieve destination-related data from an external information warehouse. Based on the retrieved data, it generates a travel plan that takes into account the user's personality traits and real-time external conditions.

[0673] This system includes users who use mobile devices such as smartphones and smart glasses. Users input their personal information into their devices, which is then sent to the server. The server uses tourist destination information and environmental data obtained from a database to construct the optimal sightseeing route for the user. Furthermore, the server utilizes a generative AI model to individually adjust the user's travel plan.

[0674] In this process, the server primarily runs Python-based programs and processes data using Flask. Information is also provided to users through a mobile app built with React Native.

[0675] For example, if a user is an INTJ type and is traveling to Barcelona, ​​the system will suggest activities tailored to their personality traits, such as "a tour of Gaudí's architecture" or "relaxing on a quiet beach." This allows users to instantly obtain travel plans based on their individual preferences.

[0676] An example of a prompt might be: "The user's MBTI type is 'INTJ', and they are traveling to Barcelona. The user tends to prefer architecture and quiet activities. Design an optimal one-day itinerary for the user and provide activities at each point." Based on this, the server generates a corresponding travel plan.

[0677] The flow of a specific process in Application Example 1 will be explained using Figure 12.

[0678] Step 1:

[0679] The user enters characteristic information on a terminal. This information includes the user's MBTI type, which indicates their personality. The terminal sends this information to the server. Based on the entered characteristic information, the server collects data that forms the basis for the next processing steps.

[0680] Step 2:

[0681] The server retrieves data on tourist destinations and accommodations from an external data warehouse. This retrieval process involves filtering relevant data based on characteristic information. It receives characteristic information as input, retrieves matching information in real time from a third-party API, and uses it to generate the next travel plan.

[0682] Step 3:

[0683] The server generates a travel plan using acquired tourism data and user characteristic information. Using a generative AI model, it applies algorithms to suggest the optimal sightseeing route for the user. The input is external data and characteristic information, and the output is a personalized travel plan. In this process, the server also incorporates sentiment analysis technology to reflect the user's latent preferences.

[0684] Step 4:

[0685] The generated travel plan is sent to the user's device. The device receives the plan and displays it to the user via an interface. The user can view the details of the travel plan and modify it according to their preferences and needs.

[0686] Step 5:

[0687] Users submit requests to change their travel plans through their devices. These requests are sent back to the server, which updates the plan using new tourism data and a generative AI model. Based on the submitted change requests, the server performs data calculations and generates an adjusted travel plan.

[0688] Step 6:

[0689] The adjusted travel plan is sent back to the user's device for final confirmation. The user reviews the plan and requests further adjustments as needed to achieve the optimal travel experience.

[0690] 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.

[0691] This invention begins with the user entering their MBTI type and travel preferences into a terminal. The terminal sends this information to a server, which then retrieves relevant travel data from an external database based on that information. Furthermore, the emotion engine included in this invention recognizes and analyzes the user's emotional state to generate a travel plan tailored to the user's mood and psychological state.

[0692] The emotion engine analyzes the user's current emotional state using their past selection history and real-time feedback data from their device. Based on this information, the server comprehensively considers the user's characteristics and emotional state to design the most suitable travel plan. For example, if the user is an "ENFJ" and their current emotional state is seeking relaxation, the server will propose a travel schedule that combines relaxation and socializing.

[0693] The generated travel plan is sent from the server to the user's device, where they can review it and request further adjustments based on their preferences. Furthermore, the emotion engine monitors user feedback in real time, enabling real-time adjustments to the plan as needed, even during the trip. In this way, a system incorporating the emotion engine provides a travel experience closely tailored to the user's psychological needs, enabling more personalized planning.

[0694] For example, if a user uses their device to select "Bali as a travel destination" and "a relaxing stay," the server uses an emotion engine to suggest a plan that prioritizes relaxation. This includes booking time on the beach and spa treatments. Furthermore, once the user actually begins their trip, the emotion engine provides real-time activity suggestions tailored to the user's satisfaction level and mood.

[0695] The following describes the processing flow.

[0696] Step 1:

[0697] The user enters their MBTI type and travel preferences on the device. This includes destination, budget, and length of stay.

[0698] Step 2:

[0699] The terminal sends the information it receives to the server. This information forms the basis for data processing on the server.

[0700] Step 3:

[0701] The server receives user profile information and uses it to retrieve travel-related information from an external database. This process is automated via an API and includes data such as accommodations, activities, and tourist attractions.

[0702] Step 4:

[0703] The server uses an emotion engine to analyze the user's emotional state. Based on real-time data from the device and past selection history, it evaluates the user's current psychological state.

[0704] Step 5:

[0705] The server integrates trait information and emotional state to generate a travel plan best suited to the user's needs. This includes suggesting schedules and activities that take the user's personality traits into account.

[0706] Step 6:

[0707] The server generates a travel plan and sends it to the user's device. The user can then review this plan on their device and request any necessary adjustments to suit their preferences.

[0708] Step 7:

[0709] The emotion engine continuously receives real-time feedback during the trip, and the server dynamically adjusts the travel plan and makes new suggestions in response to changes in the user's emotional state.

[0710] Step 8:

[0711] If the user requests any changes during the process, the terminal transmits that information to the server. The server then regenerates the plan based on this information and provides the updated plan to the terminal.

[0712] (Example 2)

[0713] 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".

[0714] Conventional travel planning systems have struggled to provide personalized travel plans that fully consider the user's characteristics and emotional state. Furthermore, they lacked sufficient dynamic adjustments to the plan based on real-time feedback during the trip, resulting in a failure to enhance user satisfaction.

[0715] 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.

[0716] In this invention, the server includes means for receiving user characteristic information, means for acquiring information from external information sources, and means for recognizing and analyzing the user's psychological state using emotion analysis means. This enables the provision of more personalized travel plans to users and dynamic adjustment of the plan in real time.

[0717] "Characteristic information" refers to information that indicates a user's individuality and characteristics, including MBTI type and past selection history.

[0718] "External information sources" refer to databases and internet-based information services that the server can use, and are referenced to obtain travel-related data.

[0719] "Emotional analysis methods" refer to analytical techniques for recognizing and analyzing a user's psychological state, utilizing the user's past choice history and real-time feedback.

[0720] A "travel plan" refers to a travel itinerary and activity schedule generated based on the user's characteristics and psychological state.

[0721] "User terminal" refers to a mobile information terminal or computer used by a user, and is a device used to display and manipulate information transmitted from a server.

[0722] "Real-time feedback" refers to information about the user's current emotions and satisfaction levels during their trip, which is used to dynamically adjust the plan.

[0723] The system of this invention begins with the user inputting their personal information into a user terminal. For example, the user inputs their MBTI type (e.g., ENFJ) and travel preferences (e.g., a trip to Bali, a relaxed stay). The terminal has an interface for transmitting this information to a server.

[0724] Upon receiving this information, the server retrieves relevant travel data by referencing external sources. Databases and online information services are the primary external sources. This allows the server to collect detailed information about destinations and travel styles.

[0725] Simultaneously, the server analyzes the user's emotional state using sentiment analysis tools. This analysis utilizes the user's past selection history and real-time feedback from the device. Based on this, the user's psychological state is inferred, and an optimal travel plan is formulated based on their current mood and needs.

[0726] The server generates prompt sentences using a generative AI model based on the acquired data and sentiment analysis. For example, it might send an instruction to the AI ​​model such as, "Suggest a Bali travel plan for an ENFJ user seeking relaxation." Based on this prompt, the AI ​​generates the optimal travel plan.

[0727] The generated travel plan is sent to the user's terminal, where the user can review its contents and request adjustments to suit their preferences. By receiving real-time feedback from the terminal, the server can adjust the plan even during the trip according to the user's mood and satisfaction. In this way, the system of the present invention makes it possible to provide a personalized travel experience that is suitable for the user.

[0728] The flow of the specific processing in Example 2 will be explained using Figure 13.

[0729] Step 1:

[0730] The user uses a terminal to input their personal information and desired conditions. Specifically, they fill in information such as their MBTI type, travel destination, and preferred style of stay in an input form. This input data is sent to the server and passed on to the next step.

[0731] Step 2:

[0732] Upon receiving user information sent from the terminal, the server issues a query to an external information source to retrieve relevant travel data. This retrieves information such as destination area, accommodation, and local activities from the database. This data is then used in the next processing step.

[0733] Step 3:

[0734] The server analyzes the user's psychological state using sentiment analysis tools. Inputs include the user's past selection history and real-time feedback data. Sentiment analysis identifies the user's mood and needs, and these results are reflected in the generated travel plan.

[0735] Step 4:

[0736] The server generates prompt messages based on the acquired travel data and sentiment analysis results. It sends a prompt message to the generating AI model such as, "Please suggest a Bali travel plan for an ENFJ user seeking relaxation." Based on this prompt, the AI ​​model generates a travel plan, and the server receives that plan.

[0737] Step 5:

[0738] The generated travel plan is sent from the server to the user's terminal. The user reviews the plan and, if necessary, sends adjustment requests from their terminal to the server, such as changing destinations or adding activities. Upon receiving these requests, the server readjusts the travel plan.

[0739] Step 6:

[0740] During the trip, the device collects real-time feedback and sends it to the server. The server analyzes this feedback using sentiment analysis tools, provides real-time activity suggestions as needed, and dynamically adjusts the travel plan. This makes it possible to improve user satisfaction.

[0741] (Application Example 2)

[0742] 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".

[0743] In modern society, as consumers increasingly seek personalized experiences, there is a growing demand for personalized services based on user characteristics and emotional states. In particular, there is a lack of suggestions that meet users' psychological and emotional needs when it comes to choices regarding dining, travel, and entertainment, and this failure to meet these needs leads to a decline in overall satisfaction.

[0744] 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.

[0745] In this invention, the server includes means for receiving user characteristic data, means for acquiring information from external information sources, and means for generating a visit plan and a meal plan based on the acquired information. This makes it possible to provide highly personalized services that are tailored to the user's characteristics and emotional data.

[0746] A "user" refers to an individual consumer who uses a system to receive information or services.

[0747] "Characteristic data" refers to information about the user's psychological characteristics and behavior, and mainly includes personality indicators such as MBTI types.

[0748] "Emotional data" refers to data that reflects the user's current psychological state and is obtained based on real-time feedback and historical data.

[0749] "External information sources" refer to external databases or information providers that the system accesses to obtain the data it needs.

[0750] "Planned destinations" refers to travel and sightseeing schedules suggested based on the user's characteristics and emotional data.

[0751] A "meal plan" refers to a plan that presents dishes and meal options tailored to the user's characteristics and emotional data.

[0752] A "server" refers to a computer system that processes data from users, collects information from external sources, and generates content.

[0753] To implement this invention, it is necessary to build a system in which user terminals, servers, and various software components work together. Users input their characteristic data and emotional data using terminals such as smartphones and tablets. This includes MBTI type and current psychological state.

[0754] The data sent from the terminal is sent to the server. The server uses Python and JavaScript programs for data analysis. It also uses PostgreSQL for database management and Python natural language processing libraries (such as NLTK and SpaCy) for data analysis. Based on the user's characteristic data and sentiment data, the server retrieves travel destination data and food information from relevant external sources.

[0755] Based on the acquired information, the server generates a visit plan and meal plan. In this process, a generation AI model is used, and fine-tuning is performed in real time to propose the most suitable plan for the user.

[0756] For example, if a user in this system identifies as "ENFJ" and requests "relaxing travel and meals," the server will suggest a relaxing plan in Bali and healthy, relaxing meal options. Similarly, if the user requests "adventurous meals," the system can suggest spicy ethnic cuisine.

[0757] Examples of prompt statements are as follows:

[0758] User MBTI type: ENFJ

[0759] Current emotional state: Relaxed

[0760] Desired culinary theme: Healthy and comforting

[0761] Suggested meal menu: Japanese-style tofu salad, matcha latte

[0762] The flow of a specific process in Application Example 2 will be explained using Figure 14.

[0763] Step 1:

[0764] The user inputs characteristic data and emotional data using a terminal. The input data includes the user's MBTI type and current emotional state. This information is sent from the terminal to the server.

[0765] Step 2:

[0766] The server receives trait and sentiment data, queries the database to retrieve relevant information, and uses Python's natural language processing library to analyze the input data and extract useful insights.

[0767] Step 3:

[0768] Based on the information acquired and analyzed by the server, a generative AI model is used to generate a visit plan and a meal plan. The data processing involved includes calculations to select candidates that are suitable for the user's characteristics and emotional state. The generated plan is then evaluated to determine if it matches the user's preferences.

[0769] Step 4:

[0770] The server sends the generated visit plan and meal plan to the terminal. The user receives this and can review it on the screen. If the user has any additional requests or desired changes, that feedback is sent to the server in real time.

[0771] Step 5:

[0772] The server receives feedback from the user and readjusts the plan as needed. Generative AI models are also used in this process, allowing for rapid revisions to the plan that reflect user needs. Prompts are used to generate suggestions that better fit the user.

[0773] 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.

[0774] 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.

[0775] 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 robot 414.

[0776] 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.

[0777] 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.

[0778] 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.

[0779] 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.

[0780] 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.

[0781] 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."

[0782] 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.

[0783] 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.

[0784] 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.

[0785] 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.

[0786] 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.

[0787] 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.

[0788] 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.

[0789] 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.

[0790] 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.

[0791] 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.

[0792] 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.

[0793] 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.

[0794] The following is further disclosed regarding the embodiments described above.

[0795] (Claim 1)

[0796] A means for receiving user characteristic information,

[0797] A means of obtaining information from an external database based on the above characteristic information,

[0798] A means of generating a travel plan based on the information obtained above,

[0799] A means of transmitting the above travel plan to the user's terminal,

[0800] A system that includes this.

[0801] (Claim 2)

[0802] The system according to claim 1, further comprising means for analyzing the user's emotional state and adjusting the travel plan accordingly.

[0803] (Claim 3)

[0804] The system according to claim 1, further comprising means for a user to request changes to the above travel plan.

[0805] "Example 1"

[0806] (Claim 1)

[0807] A means for providing a device for inputting individual user characteristic information,

[0808] Means for transmitting the above characteristic information to a data processing device via a communication device,

[0809] A means for obtaining related information from an external storage device based on the above characteristic information,

[0810] Based on the relevant information obtained above, a means for generating a travel plan,

[0811] A means of sending the generated travel plan to the user's device,

[0812] A system that includes this.

[0813] (Claim 2)

[0814] The system according to claim 1, further comprising means for analyzing the psychological state of users and individually optimizing travel plans.

[0815] (Claim 3)

[0816] The system according to claim 1, further comprising means for a user to request modifications to a proposed travel plan.

[0817] "Application Example 1"

[0818] (Claim 1)

[0819] A means for receiving user characteristic information,

[0820] A means of obtaining information from an external information warehouse based on the above characteristic information,

[0821] A means for generating a travel plan based on the information obtained above,

[0822] A means for transmitting the above travel plan to the user's terminal,

[0823] A means of suggesting sightseeing routes tailored to the characteristics of users,

[0824] A means of updating the plan in real time based on external conditions,

[0825] A system that includes this.

[0826] (Claim 2)

[0827] The system according to claim 1, further comprising means for analyzing the emotional state of the user and adjusting the above-mentioned travel plan.

[0828] (Claim 3)

[0829] The system according to claim 1, further comprising means for a user to submit a request for change to the above travel plan.

[0830] "Example 2 of combining an emotion engine"

[0831] (Claim 1)

[0832] A means for receiving user characteristic information,

[0833] A means of obtaining information from an external source based on the above characteristic information,

[0834] A means of recognizing and analyzing a user's psychological state using emotion analysis tools,

[0835] A means for generating a travel plan based on the information obtained above and the user's psychological state,

[0836] A means of transmitting the above travel plan to the user's terminal,

[0837] A system that includes this.

[0838] (Claim 2)

[0839] The system according to claim 1, further comprising means for adjusting the above travel plan in real time based on the results of emotion analysis.

[0840] (Claim 3)

[0841] The system according to claim 1, further comprising means for a user to request changes to the above travel plan and for readjusting the plan.

[0842] "Application example 2 when combining with an emotional engine"

[0843] (Claim 1)

[0844] A means of receiving user characteristic data,

[0845] A means of obtaining information from an external source based on the above characteristic data,

[0846] A means of generating a visit plan based on the information obtained above,

[0847] A means of sending the above visit plan to the user's device,

[0848] A means of analyzing user emotional data and generating meal plans,

[0849] A system that includes this.

[0850] (Claim 2)

[0851] The system according to claim 1, further comprising means for analyzing emotional data and adjusting visit plans and meal plans.

[0852] (Claim 3)

[0853] The system according to claim 1, further comprising means for the user to request changes to the above-mentioned visit destination plan or meal plan. [Explanation of Symbols]

[0854] 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 user characteristic information, A means of obtaining information from an external information warehouse based on the above characteristic information, A means for generating a travel plan based on the information obtained above, A means for transmitting the above travel plan to the user's terminal, A means of suggesting sightseeing routes tailored to the characteristics of users, A means of updating the plan in real time based on external conditions, A system that includes this.

2. The system according to claim 1, further comprising means for analyzing the emotional state of the user and adjusting the above-mentioned travel plan.

3. The system according to claim 1, further comprising means for a user to submit a request for change to the above travel plan.

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