system

Abstract

We provide the system. [Solution] Means for obtaining information on the departure point and destination, A means for connecting to an information recording medium that stores location data of information provision locations located along the route, A means for searching for information provision locations along the aforementioned route and displaying them based on the information of the departure point and destination, A means of obtaining information on the information provision location selected by the user and performing the registration procedure at the information provision location, A means for recommending information provision locations, taking into account the user's past data and current circumstances, A system that includes this.

Description

Technical Field

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

Background Art

[0002] Patent Document 1 discloses a method for controlling a persona chatbot, which is performed by at least one processor, and includes steps of receiving a user utterance, adding the user utterance to a prompt including an instruction sentence related to an explanation of a character of the chatbot, 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] With conventional information search means, it has been difficult for users to efficiently search for information-providing locations along the way from the departure point to the destination. For this reason, in order to avoid taking a roundabout route, it has required a lot of effort and time to find a desired food and beverage establishment or other information-providing locations. In addition, due to the lack of recommendations reflecting the preferences and situations of individual users, it has been impossible to make a highly satisfactory choice.

Means for Solving the Problems

[0005] The system according to the present invention acquires information on the starting point and destination, and connects to an information recording medium that stores location data of information provision locations along the route, thereby enabling efficient searching of information provision locations along the route. Furthermore, it has a function to acquire information on the information provision location selected by the user and to perform the actual reception procedure, and further provides personalized recommendations for information provision locations by considering the user's past data and current situation, thereby bringing high satisfaction to the user.

[0006] "Starting point" refers to information that indicates the specific starting point from which the user begins their journey.

[0007] "Destination" refers to information about the place the user ultimately wishes to reach.

[0008] A "route" refers to the path or course taken when traveling from a starting point to a destination.

[0009] An "information provision location" refers to a facility or store that provides specific services or information to users.

[0010] "Location data" refers to data that indicates the physical location of the place where information is provided, and includes geographical coordinates, etc.

[0011] An "information recording medium" is a medium for recording and storing location data of information provision locations, and includes databases and storage devices.

[0012] "Searching" is the act of retrieving information based on specific criteria and extracting that information.

[0013] "Display" refers to the act of providing information to a user visually, and is generally done through a screen.

[0014] "Registration procedures" refer to the process of making reservations or completing pre-registration procedures to use services at an information provision location.

[0015] "Recommendation" refers to the act of proposing specific options based on the user's preferences and situation.

Brief Description of the Drawings

[0016] [Figure 1] It is a conceptual diagram showing an example of the configuration of a data processing system according to the first embodiment. [Figure 2] It is a conceptual diagram showing an example of the main functions of a data processing device and a smart device according to the first embodiment. [Figure 3] It is a conceptual diagram showing an example of the configuration of a data processing system according to the second embodiment. [Figure 4] It is a conceptual diagram showing an example of the main functions of a data processing device and smart glasses according to the second embodiment. [Figure 5] It is a conceptual diagram showing an example of the configuration of a data processing system according to the third embodiment. [Figure 6] It is a conceptual diagram showing an example of the main functions of a data processing device and a headset-type terminal according to the third embodiment. [Figure 7] It is a conceptual diagram showing an example of the configuration of a data processing system according to the fourth embodiment. [Figure 8] It is a conceptual diagram showing an example of the main functions of a data processing device and a robot according to the fourth embodiment. [Figure 9] It shows an emotion map to which multiple emotions are mapped. [Figure 10] It shows an emotion map to which multiple emotions are mapped. [Figure 11] It is a sequence diagram showing the processing flow of the data processing system in Example 1. [Figure 12] It is a sequence diagram showing the processing flow of the data processing system in Application Example 1. [Figure 13] It is a sequence diagram showing the processing flow of the data processing system in Example 2 when the emotion engine is combined. [Figure 14]It is a sequence diagram showing the processing flow of a data processing system in Application Example 2 when a sentiment engine is combined.

Embodiments for Carrying out the Invention

[0017] Hereinafter, an example of an embodiment of a system according to the technology of the present disclosure will be described with reference to the accompanying drawings.

[0018] First, the terms used in the following description will be explained.

[0019] In the following embodiments, a numbered processor (hereinafter simply referred to as "processor") may be a single arithmetic unit or a combination of multiple arithmetic units. Also, the processor may be a single type of arithmetic unit or a combination of multiple types of arithmetic units. Examples of arithmetic units include a CPU (Central Processing Unit), a GPU (Graphics Processing Unit), a GPGPU (General-Purpose computing on Graphics Processing Units), an APU (Accelerated Processing Unit), and the like.

[0020] In the following embodiments, a numbered RAM (Random Access Memory) is a memory in which information is temporarily stored and is used as a work memory by the processor.

[0021] In the following embodiments, a numbered storage is one or more non-volatile storage devices that store various programs and various parameters, etc. Examples of non-volatile storage devices include flash memory (SSD (Solid State Drive)), magnetic disks (e.g., hard disks), or magnetic tapes, etc.

[0022] In the following embodiments, the signed communication interface (I / F) is an interface that includes a communication processor and an antenna, etc. The communication interface manages communication between multiple computers. Examples of communication standards applicable to the communication interface include wireless communication standards such as 5G (5th Generation Mobile Communication System), Wi-Fi (registered trademark), or Bluetooth (registered trademark).

[0023] 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."

[0024] [First Embodiment]

[0025] Figure 1 shows an example of the configuration of the data processing system 10 according to the first embodiment.

[0026] 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.

[0027] 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).

[0028] 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.

[0029] 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.

[0030] 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.

[0031] 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.

[0032] Figure 2 shows an example of the main functions of the data processing device 12 and the smart device 14.

[0033] 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.

[0034] 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.

[0035] 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.

[0036] 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".

[0037] This invention is an information processing system aimed at efficiently searching for and presenting information-providing locations along a route during travel from a starting point to a destination. Specific embodiments of this system will be described below.

[0038] System Concept

[0039] This system consists of a user's terminal, a server connected via a network, and an information recording medium that stores location data of information provision locations.

[0040] Input and search functions

[0041] User: Enter the departure point and destination into the terminal. Also, enter detailed information such as the type of cuisine and time you wish to order as search criteria.

[0042] Terminal: Sends the entered information to the server via the network. This information includes the start point of the journey, the end point, and the user's preferences.

[0043] Server-based processing

[0044] Server: Based on the received information, the server begins calculating the route. The server uses an external map service API to calculate the optimal route and extracts consumer service locations along the route from the database.

[0045] Server: The server also analyzes the user's past behavior history and current situation, and generates personalized recommendations based on that information.

[0046] Display and select results

[0047] Terminal: Displays a list of information sources received from the server to the user. This includes detailed information such as location, ratings, menus, and business hours.

[0048] User: Based on the information provided, select your desired information delivery location and, if you wish to make a reservation, enter that intention into the terminal.

[0049] Reservation procedure

[0050] Terminal: The terminal sends the selected information to the server, which then performs the reservation process with the information provider.

[0051] Server: When a reservation is completed, the server will transfer the result to the terminal and notify the user. It can also provide information on nearby events and promotions as needed.

[0052] Specific example

[0053] For example, if a user requests to "start from Tokyo Station, go to Shinjuku Station, and search for Italian restaurants along the route," the server calculates the travel route from Tokyo Station to Shinjuku Station and searches for Italian restaurants along that route. The server then sends a list of the best options to the user's device based on their preferences. Once the user selects one of the options and makes a reservation, the server confirms the reservation and sends that information back to the device.

[0054] This system allows users to quickly find appropriate information locations along their travel route and even complete reservations without any hassle.

[0055] The following describes the processing flow.

[0056] Step 1:

[0057] The user enters their departure and destination points into the terminal. They then enter their desired type of cuisine and time slot as search criteria and submit a search request.

[0058] Step 2:

[0059] The terminal transmits user input data to the server via the network. This information includes the departure point, destination, desired type of cuisine, and time of visit.

[0060] Step 3:

[0061] The server calculates the optimal travel route based on the received information. It uses a map information service API to obtain the route from the starting point to the destination.

[0062] Step 4:

[0063] The server searches for information providers located along the calculated route. It accesses a database of information providers, such as restaurants and cafes, and lists candidates that match the user's search criteria.

[0064] Step 5:

[0065] The server analyzes the user's past search history and current situation. Using AI, it generates personalized recommendations and reflects them in a list of suggested information sources.

[0066] Step 6:

[0067] The server sends search results and recommendation information to the device. This includes the names, locations, ratings, and menu information of potential information providers.

[0068] Step 7:

[0069] The device displays a list of received information locations to the user. The user selects a desired information location based on the information presented.

[0070] Step 8:

[0071] The user enters their intention to make a reservation at their chosen information provider location into the terminal and submits the reservation request.

[0072] Step 9:

[0073] The terminal sends a reservation request to the server and performs a check to see if the reservation is possible.

[0074] Step 10:

[0075] The server initiates the reservation process for the selected information source. If successful, it sends reservation confirmation information to the terminal.

[0076] Step 11:

[0077] The server will also send promotional and event information for the vicinity of the information provision location where the reservation has been completed to the terminal, if necessary.

[0078] Step 12:

[0079] The user receives a reservation confirmation notification from their device and finalizes their meal plan. They then review any additional information as needed and begin their journey.

[0080] (Example 1)

[0081] 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."

[0082] Conventional information retrieval systems have struggled to efficiently search for information providers located along user-specified routes and provide recommendations tailored to user preferences. Furthermore, they lacked the functionality to offer personalized services utilizing users' past behavioral data, making it impossible to present optimal information to users. This invention aims to solve these problems and make user travel smoother and more meaningful.

[0083] 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.

[0084] In this invention, the server includes means for acquiring data on the starting point and destination, means for connecting to a storage medium storing location data of information providers located along the route, and means for searching for information providers located along the route and displaying them based on the data on the starting point and destination. This enables efficient and personalized searching, display, and reservation of information providers along a route specified by the user.

[0085] "Departure point and destination data" refers to information indicating the start and end points of a journey specified by the user, and is used for calculating the journey route and searching for information provision points.

[0086] An "information provision point" refers to a location that indicates various service facilities and shops that a user can visit while traveling, and it provides data tailored to the user's interests and preferences.

[0087] A "storage medium that stores location data" is a data storage device that records and maintains the geographical location of information provision points, and is a medium that provides data that forms the basis of the search process.

[0088] "Means for connecting to a storage medium" refers to a mechanism for a server or system to access a storage medium in order to acquire the aforementioned location data.

[0089] A "generative AI model" is a model based on machine learning algorithms used to analyze a user's past behavioral data and current situation to generate personalized recommendation information.

[0090] "Means for calculating the optimal route" refers to the process of calculating the most efficient travel route by considering the distance and time from the starting point to the destination, as well as the user's conditions.

[0091] A "terminal" is a device used by users to input information or view results provided by a server, and generally refers to a smartphone or computer.

[0092] "Means for displaying search results on the user's device" refers to a function that presents a list of information sources processed by the server to the user's device in a visual format.

[0093] "Means of performing registration procedures" refers to functions that allow users to formally interact with the information provider location they have selected through the system, such as making reservations or inquiries.

[0094] This invention is a system that efficiently searches for information provision locations along a user's route when they travel from a starting point to a destination, and provides personalized recommendation information tailored to the user's preferences. This system consists of a user's terminal, a server connected via a network, and a storage medium that records location data of information provision locations.

[0095] Users input their departure and destination points using a dedicated application on their own devices. They also enter search criteria such as the type of cuisine and desired visit time, and send this data from their devices to the server.

[0096] The terminal collects user input data, converts it into JSON format, and sends it to the server over the network. This data includes the starting and ending points of the journey, as well as the user's preferences. For example, information such as "starting point is Tokyo Station, destination is Shinjuku Station, search for Italian restaurants along the route" is sent.

[0097] Upon receiving data from the terminal, the server calculates the optimal route using a map program such as Google Maps API. Furthermore, the server accesses a database such as MySQL to search for information-providing locations along the route. During this process, it utilizes a generative AI model to analyze the user's past behavior data and current situation to generate personalized recommendations.

[0098] Search results, including location information, ratings, menus, and business hours, are sent from the server to the user's device. The device displays this information on its user interface, allowing the user to make the best choice.

[0099] When a user selects a specific information provider location and wishes to make a reservation, the terminal sends this information back to the server. The server then coordinates with the reservation system of the selected information provider location and carries out the reservation process. Finally, it notifies the user that the process is complete.

[0100] An example of a prompt message is: "Set the departure point to Tokyo Station and the destination to Shinjuku Station, search for Italian restaurants along the route, and make a reservation based on that."

[0101] Thus, the system of the present invention achieves excellent information processing that seamlessly handles everything from acquiring information on a user-specified travel route, recommending the most suitable information provision location, to reservation procedures.

[0102] The flow of the specific processing in Example 1 will be explained using Figure 11.

[0103] Step 1:

[0104] The user launches a dedicated application on their terminal and enters search criteria such as their departure point, destination, type of cuisine, and desired visit time. This is the input data, which forms the basic information necessary to start processing the entire system.

[0105] Step 2:

[0106] The terminal converts the information entered by the user into JSON format. This data is sent to the server over the network. The output from the terminal is structured data that includes the starting point, destination, and the user's search criteria.

[0107] Step 3:

[0108] The server parses the JSON data received from the terminal. Based on this, it calls an external map service API to calculate the optimal travel route. The input is JSON data from the terminal, and the server obtains route information from this data. The output is the most efficient travel route.

[0109] Step 4:

[0110] The server accesses its own database based on the calculated route information to search for information providers along the route. It uses a database such as MySQL and extracts location information that matches the specified criteria using SQL queries. The input consists of route information and user search criteria, and the output is a list of information providers that meet the criteria.

[0111] Step 5:

[0112] The server utilizes a generative AI model to analyze the user's past behavior history and current situation. This analysis generates personalized recommendations for the user. The input is the user's past behavior data and current situation data, and the output is personalized recommendations.

[0113] Step 6:

[0114] The server structures the search results and recommendation information in JSON format and sends it to the terminal. The input is a list of information sources and recommendation information, and the output is structured data for display on the user's terminal.

[0115] Step 7:

[0116] The terminal parses the information received from the server and displays it on the user interface. The user can view potential information providers along the route. The input is JSON data from the server, and the output is a list-formatted information that appeals to the user's visual sense.

[0117] Step 8:

[0118] The user selects their desired location from the displayed information locations. Furthermore, if a reservation is required, they enter details such as their desired reservation time. This becomes new input data for the next process.

[0119] Step 9:

[0120] The terminal converts the user's selections and reservation information into JSON format and sends it back to the server. The input is the user's selection information, and the output is the reservation request data sent to the server.

[0121] Step 10:

[0122] The server communicates with the system of the selected information provider and executes the reservation process. This confirms the reservation. The input is a reservation request from the terminal, and the output is reservation completion information.

[0123] Step 11:

[0124] The server sends confirmation information to the terminal indicating that the reservation is complete. Furthermore, it provides value-added promotional and event information as needed. The input is the result of the reservation process, and the output is the confirmation information notified to the user.

[0125] (Application Example 1)

[0126] 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."

[0127] When users are traveling, it is essential to efficiently search for information-providing locations along their route from their starting point to their destination and to provide appropriate services without requiring them to expend much effort. This problem can be solved by providing personalized suggestions based on the user's past behavioral data and current situation, but it is necessary to build a system that enhances convenience without compromising usability.

[0128] 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.

[0129] In this invention, the server includes means for acquiring information on the departure point and destination, means for connecting to an information recording medium storing location data of information provision locations along the route, and means for calculating the travel route using external means and presenting recommendation information regarding information provision locations along the route. This enables the user to receive the most suitable service while traveling.

[0130] "Departure point" refers to the location where the user begins their journey.

[0131] "Destination" refers to information indicating the place where the user wants to complete their journey.

[0132] An "information provision location" is a facility or place that provides specific information or services to users.

[0133] "Location data" refers to data that indicates the geographical location of the place where information is provided.

[0134] An "information recording medium" is a medium for storing location data and other related information.

[0135] "External means" refer to external services or APIs that a server uses to connect and perform its functions.

[0136] A "travel route" refers to information indicating the optimal path from the starting point to the destination.

[0137] "Recommendation information" refers to highly relevant information provided based on the user's past data and current circumstances.

[0138] "Service" refers to goods, information, reservations, or other beneficial actions provided to a user.

[0139] The system implementing this invention consists of a user terminal, a server, and an information recording medium. The user uses the terminal to input information about their starting point and destination. This information, along with the user's preferences and details of desired services, is sent to the server. The server calculates the travel route using an external map API and searches a database for information-providing locations along that route or related to the destination.

[0140] The server analyzes the user's past behavior history and current situation to generate optimized recommendation information. In this process, the server refers to location data stored in a database and integrates the information using specified external services, particularly map services such as the Google Maps API.

[0141] For example, if a user requests "Ginza as the starting point, Shibuya as the destination, and recommends sushi restaurants in between," the server will first set up a travel route via the Google Maps API, and then extract and recommend sushi restaurants from the area around that route. This recommendation information will include location data, user ratings, and special offers.

[0142] Using a generative AI model, prompt messages are generated that take into account past usage and current circumstances, leading to more accurate information provision and improved user experience.

[0143] The flow of a specific process in Application Example 1 will be explained using Figure 12.

[0144] Step 1:

[0145] The user enters their departure point, destination, and details of the desired service into the terminal. The terminal receives this as input data and sends it to the server. The output at this stage is the request data sent to the server.

[0146] Step 2:

[0147] The server calculates the travel route using the external Google Maps API based on the data it receives. The input is the request data from the device, and the output is optimized travel route information. This information is used to find information sources in the next step.

[0148] Step 3:

[0149] The server uses route information to match location data of information providers in the database and searches for relevant information providers along the route. The input is travel route information, and the output is a list of candidate information providers. This list includes location information and service details.

[0150] Step 4:

[0151] The server analyzes the user's past usage history and current situation, and generates personalized recommendations using a generative AI model. The input is the user's history data and a list of information sources for search results, and the output is recommendations tailored to the user.

[0152] Step 5:

[0153] The server sends the final recommendation information to the terminal, which then displays it to the user. The input is the recommendation information from the server, and the output is the information displayed on the user's screen. Based on this information, the user selects the service they wish to use.

[0154] 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.

[0155] The present invention is an information processing system for efficiently searching for information-providing locations along a route during travel from a starting point to a destination, and for providing information tailored to the user's emotions. This system consists of a user's terminal, a server connected via a network, an information recording medium storing location data of information-providing locations, and an emotion engine that recognizes the user's emotions.

[0156] System structure and implementation

[0157] User Input: The user enters their departure point and destination using a terminal. They also enter their desired information provision conditions, such as the type of food offered and the planned time of day.

[0158] How the emotion engine works:

[0159] User: Uses the microphone and camera built into the device to transmit emotional data through voice and facial expressions.

[0160] Device: This data is sent to the emotion engine, which analyzes and recognizes the user's emotions.

[0161] Server-side processing:

[0162] Server: After receiving input data from the user, it receives the emotional state identified by the emotion engine.

[0163] Server: Uses a map service API to identify appropriate information sources along the specified route.

[0164] Server: Optimizes the list of information locations based on the user's emotional state. For example, if the user is seeking relaxation, the server prioritizes displaying quiet and calming locations.

[0165] Display and select results:

[0166] Device: Displays a list of informational locations tailored to the user's emotions. The user selects a location they wish to visit based on the displayed information.

[0167] User: If you wish to make a reservation at the selected information provision location, enter this information into the terminal and submit it.

[0168] Booking procedures and notifications:

[0169] Server: Based on the user's selection, it executes the reservation process with the information provider.

[0170] Server: Once a reservation is complete, the server sends the result to the terminal and notifies the user. In addition, it can provide additional information tailored to the user's emotional state (e.g., relaxing events or plans).

[0171] Specific example

[0172] For example, if a user is traveling from Tokyo Station to Yokohama Station and is looking for a cafe where they can relax, the emotion engine analyzes the user's tone of voice and facial expressions to identify an emotional state where they want to reduce stress. Based on this information, the server prioritizes presenting the user with cafes more suitable for a break than a regular list of cafes. The user can then select one from the list, complete the reservation through the server, and head to their next destination with peace of mind.

[0173] In this way, the present invention makes it possible to provide advanced services tailored to individual needs by providing information that takes user emotions into consideration.

[0174] The following describes the processing flow.

[0175] Step 1:

[0176] The user launches the application on their device and enters their starting point and destination. They then enter criteria for the information-providing locations they wish to visit.

[0177] Step 2:

[0178] The terminal transmits the entered departure and destination information, as well as the user's desired information delivery location conditions, to the server via the network.

[0179] Step 3:

[0180] The device uses its built-in microphone and camera to collect user voice data and facial expression video. This data is then sent to the emotion engine.

[0181] Step 4:

[0182] The emotion engine analyzes received audio data and facial expression information to identify the user's current emotional state. For example, it might determine that the user is experiencing stress based on their tone of voice and facial expressions.

[0183] Step 5:

[0184] The server calculates the optimal travel route based on the received origin, destination, and information source conditions. Route information is obtained using a map API.

[0185] Step 6:

[0186] The server searches the database for information delivery locations along the calculated path. Here, it also considers the user's emotional state, prioritizing information delivery locations that align with that emotional state.

[0187] Step 7:

[0188] The server generates a list of recommended locations for information based on the emotional state obtained from the emotion engine. The list includes suggestions that match the emotional state, such as places to reduce stress.

[0189] Step 8:

[0190] The server sends a list of recommended information locations to the terminal. The list includes the location, rating, and available time for each information location.

[0191] Step 9:

[0192] The device displays a list of received information locations to the user. The user selects a location they wish to visit from the displayed list.

[0193] Step 10:

[0194] After the user selects the information provider they wish to visit, the terminal sends this selection information to the server and requests a reservation.

[0195] Step 11:

[0196] The server proceeds with the reservation process for the selected information source. Once the reservation is complete, it sends the result to the terminal.

[0197] Step 12:

[0198] The device displays a reservation confirmation notification to the user. At the same time, it also displays additional recommendations that take into account the user's emotional state (for example, relaxing activities).

[0199] These steps allow users to find the best source of information that reflects their emotions.

[0200] (Example 2)

[0201] 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".

[0202] The present invention aims to provide a system that can efficiently search for information provision locations that accurately reflect the user's emotional state during travel from a starting point to a destination, and provide information optimized to the user's needs. Conventional systems have the problem of lacking convenience because they simply present information provision locations along the route without adequately considering the user's emotions or intuitive needs.

[0203] 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.

[0204] In this invention, the server includes means for acquiring information on the starting point and destination, means for acquiring emotion data using an engine that recognizes the user's emotions, and means for optimizing the recommendation of information provision locations based on the emotion data. This enables the provision of more personalized information that responds to the user's emotions.

[0205] "Starting point" refers to the location that serves as the starting point for beginning a journey.

[0206] "Destination" refers to the place where the journey ends.

[0207] An "information provision point" refers to a facility or location located along a route that provides specific services or information.

[0208] "Location data" refers to coordinate information and related geographical data used to indicate the location of a specific point.

[0209] An "information recording medium" refers to a device or medium that records and stores data in digital format.

[0210] An "emotion engine" refers to software or hardware that analyzes a user's voice and facial expression data to identify their emotional state.

[0211] "Emotional data" refers to information generated by an emotion engine to indicate the user's emotional state.

[0212] "Route" refers to the path or route taken when traveling from a starting point to a destination.

[0213] A "server" refers to a central computing device used for processing information over a network.

[0214] "Reservation procedure" refers to the administrative process of confirming the use of a service at a specific information provision location based on the user's selection.

[0215] A "notification" is a means of communication used to inform users that information has been updated or that a response has been made.

[0216] "Optimization" is the process of efficiently adjusting information provision and processing according to specific conditions and objectives in order to obtain the best possible results.

[0217] This invention is a system that searches for information provision locations along the user's route from their starting point to their destination that are appropriate to the user's emotional state, and provides optimized information. This system is realized by combining a server, a terminal, and an emotion engine.

[0218] First, the user uses a device to enter their starting point and destination. This device is typically a mobile device such as a smartphone or tablet. The device accepts details of the information source that the user enters as conditions.

[0219] Next, the user's voice and facial expression data are acquired via the device's microphone and camera. This data is sent to the emotion engine through the software installed on the device. The emotion engine uses a generative AI model to analyze voice tone and facial expressions to identify the user's emotional state. This process allows the system to understand the user's current state.

[0220] Subsequently, the server receives the departure and destination information obtained from the terminal, as well as sentiment data from the sentiment engine. The server uses a map service API to search for information providers along the specified route and then generates an optimized list based on the sentiment data. This optimization involves filtering the data, for example, prioritizing quiet facilities if relaxation is needed.

[0221] The options offered to the user are displayed in a feed format on the device screen. The user selects the information source they wish to visit by tapping. The selected location is then booked via the server. Once the booking is complete, the server notifies the device. At this time, the server can also provide additional information tailored to the user's emotional state (for example, information on specific entertainment events).

[0222] For example, if a user enters a prompt message into the terminal such as, "My starting point is Tokyo Station, and my destination is Yokohama Station. I'm looking for a cafe where I can relax," the system will use this to provide the most suitable suggestions, ensuring an information retrieval experience that meets the user's needs.

[0223] Thus, the invention realizes a system that is based on emotions and enables the provision of advanced services to Eura.

[0224] The flow of the specific processing in Example 2 will be explained using Figure 13.

[0225] Step 1:

[0226] The user enters their departure point, destination, and desired information source conditions into the terminal. This information is sent to an application within the terminal. The terminal prepares this text data as a formalized request. The output is the user request data used in the next step.

[0227] Step 2:

[0228] The user provides their voice and facial expression data through the device's microphone and camera. The device collects this data to send to the emotion engine. The input is raw voice and visual data, and the output is analyzed data for processing by the emotion engine.

[0229] Step 3:

[0230] The device transmits collected voice and facial expression data to the emotion engine. The emotion engine uses a generative AI model to perform emotion identification calculations from the input data. It analyzes the data and outputs the user's emotional state as a numerical value or tag.

[0231] Step 4:

[0232] The server integrates user request data and sentiment data received from the terminal. The server searches for information points along the route from the starting point to the destination via a map service API. User conditions and sentiment data are used as filter conditions in the search. The output is a list of information points optimized based on sentiment.

[0233] Step 5:

[0234] The device displays a list of information providers received from the server on its screen. The displayed data is listed in a feed format and arranged to be intuitively easy to select. Users select information providers of interest by tapping on them.

[0235] Step 6:

[0236] Based on the user's selection, the server executes the booking process with the information provider. The server communicates with the affiliated online booking system and performs a series of processes to confirm the user's booking. The output is confirmation information of the completed booking.

[0237] Step 7:

[0238] The server notifies the terminal that the reservation is complete. The terminal displays this information to the user as a notification. Depending on the user's emotional state, it may also present additional relevant event or service information. Ultimately, the user is ready to visit the information location with peace of mind.

[0239] (Application Example 2)

[0240] 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".

[0241] In modern urban life, it is difficult for users on the go to obtain information that is appropriate to their emotional state in real time. Furthermore, the information provided is not optimized to the user's emotions, which can lead to stress and dissatisfaction. Conventional systems do not adequately optimize information delivery based on emotions, making it a challenge to improve user satisfaction.

[0242] 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.

[0243] In this invention, the server includes means for acquiring information on the departure point and destination, means for connecting to an information recording medium storing location data of information provision locations along the route, and means for analyzing the user's emotional state and recommending information provision locations based on the results. This allows the user to acquire information that is best suited to their emotional state in real time while traveling, thereby reducing stress and dissatisfaction.

[0244] "Means for obtaining information on the starting point and destination" refers to a system that collects information on the starting and ending points necessary for a user to travel from their current location to their destination.

[0245] "Means for connecting to an information recording medium that stores location data of information provision locations" refers to a method of accessing a database that holds location information of various facilities and services along the route.

[0246] "A means of searching for information provision locations and displaying them based on the departure point and destination information" refers to a system that identifies facilities and services that match the user's travel plans and displays their locations.

[0247] "A means of completing registration procedures at an information provision location selected by the user" refers to a method of making reservations or entries for facilities or services chosen by the user.

[0248] "A means of analyzing the emotional state of users and recommending information provision locations based on the results" refers to a system that grasps the emotions of users from audio and video data and proposes appropriate facilities and services according to that state.

[0249] "A means of providing users with information tailored to their emotional state in real time while they are on the move" refers to a method of constantly monitoring the user's emotions while they are traveling and providing them with timely and appropriate information.

[0250] To implement this invention, the user inputs information about their starting point and destination using a smartphone or wearable device. This allows the device to determine the current location and the travel route, including the destination. Next, the device continuously collects the user's emotional data through a microphone and camera.

[0251] The device uses an emotion analysis engine to analyze collected audio and image data to identify the user's emotional state. Emotion recognition technologies such as Amazon Rekognition and Google Cloud Speech-to-Text are employed in this process. Once the emotion data is processed, the results are sent to a server.

[0252] The server consults a database of information providers based on the received emotional state and the origin and destination information. Using the Google Maps API, it identifies appropriate information providers along the route. For example, if the emotional state indicates stress reduction, the server might recommend a quiet and relaxing cafe or park.

[0253] The recommendation results are sent to the device and displayed to the user as a list of appropriate information sources. If the user selects a specific location, the reservation process is carried out via the server. Once the reservation is complete, the device is notified, and additional event information tailored to the user's emotional state is also provided.

[0254] For example, if a user wants to relax after work, the device analyzes the user's state and recommends a spa or cafe with a quiet environment. An example of a prompt message would be, "If the user is feeling stressed, please suggest a place where they can relax." In this way, the invention enables the provision of information that is tailored to the user's emotions.

[0255] The flow of a specific process in Application Example 2 will be explained using Figure 14.

[0256] Step 1:

[0257] The user enters their starting point and destination into the device. The entered data is stored on the device, and a travel route is established. Based on this, the device tracks the user's location in real time.

[0258] Step 2:

[0259] The device uses a microphone and camera to collect audio and image data. This data is preprocessed for sentiment analysis, including noise reduction. The preprocessed data is then sent to the sentiment engine.

[0260] Step 3:

[0261] The emotion engine analyzes the user's emotional state from audio and image data. Here, a generative AI model is used to analyze the data and output the emotional state. The output emotional state data is then sent to the server.

[0262] Step 4:

[0263] The server receives emotional state data and uses existing geographic information APIs to search for information providers along the route. It uses data on the starting point, destination, and route-based information providers as input to generate a list of facilities that match the emotional state.

[0264] Step 5:

[0265] The generated list of information-providing locations is optimized based on the user's emotional state and sent from the server to the terminal. Depending on the user's mood, for example, if relaxation is deemed necessary, quiet locations will be prioritized.

[0266] Step 6:

[0267] The terminal displays an optimized list to the user and provides an interface for the user to make a selection. Once the user has made their selection, that information is sent to the server.

[0268] Step 7:

[0269] The server receives the user's selection information and initiates the reservation process with the information provider. Upon successful reservation, a reservation completion notification and additional information are sent to the terminal.

[0270] Step 8:

[0271] The device displays a notification to the user regarding the completion of their reservation, including additional information such as events and plans tailored to the user's emotional state. This allows the user to proceed to the next step with confidence.

[0272] 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.

[0273] Data generation model 58 is a so-called generative AI (Artificial Intelligence). An example of data generation model 58 is ChatGPT (registered trademark) (Internet search).<URL: https: / / openai.com / blog / chatgpt> ), Gemini (registered trademark) (Internet search) <url: https: gemini.google.com ?hl="ja">Examples of generative AI include the following. The data generation model 58 is obtained by performing deep learning on a neural network. The data generation model 58 is input with prompts containing instructions, and with inference data such as audio data representing speech, text data representing text, and image data representing images. The data generation model 58 infers from the input inference data according to the instructions indicated by the prompts, and outputs the inference results in data formats such as audio data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization.

[0274] 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.

[0275] [Second Embodiment]

[0276] Figure 3 shows an example of the configuration of the data processing system 210 according to the second embodiment.

[0277] 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.

[0278] 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).

[0279] 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.

[0280] 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.

[0281] 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).

[0282] 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.

[0283] 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.

[0284] The specific processing program 56 is an example of the "program" according to the technology of the present 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 operating as the specific processing unit 290 according to the specific processing program 56 executed by the processor 28 on the RAM 30.

[0285] The storage 32 stores a data generation model 58 and an emotion identification model 59. The data generation model 58 and the emotion identification model 59 are used by the specific processing unit 290.

[0286] In the smart glasses 214, the processor 46 performs reception and output processing. The storage 50 stores a reception and output program 60. The processor 46 reads the reception and output program 60 from the storage 50 and executes the read reception and output program 60 on the RAM 48. The reception and output processing is realized by operating as the control unit 46A according to the reception and output program 60 executed by the processor 46 on the RAM 48.

[0287] Next, the specific processing by the specific processing unit 290 of the data processing device 12 will be described. In the following description, the data processing device 12 is referred to as a "server", and the smart glasses 214 are referred to as a "terminal".

[0288] The present invention is an information processing system aimed at efficiently searching for information-providing locations on the route and presenting them to the user during the movement from the starting point to the destination. Hereinafter, specific embodiments of this system will be described.

[0289] Concept of the system

[0290] This system is composed of a user's terminal, a server connected via a network, and an information recording medium that records the position data of the information-providing locations.

[0291] Input and search functions

[0292] User: Enter the departure point and destination into the terminal. Also, enter detailed information such as the type of cuisine and time you wish to order as search criteria.

[0293] Terminal: Sends the entered information to the server via the network. This information includes the start point of the journey, the end point, and the user's preferences.

[0294] Server-based processing

[0295] Server: Based on the received information, the server begins calculating the route. The server uses an external map service API to calculate the optimal route and extracts consumer service locations along the route from the database.

[0296] Server: The server also analyzes the user's past behavior history and current situation, and generates personalized recommendations based on that information.

[0297] Display and select results

[0298] Terminal: Displays a list of information sources received from the server to the user. This includes detailed information such as location, ratings, menus, and business hours.

[0299] User: Based on the information provided, select the desired information delivery location and, if you wish to make a reservation, enter that intention into the terminal.

[0300] Reservation procedure

[0301] Terminal: The terminal sends the selected information to the server, which then performs the reservation process with the information provider.

[0302] Server: When a reservation is completed, the server will transfer the result to the terminal and notify the user. It can also provide information on nearby events and promotions as needed.

[0303] Specific Example

[0304] For example, when the user wishes to "search for an Italian restaurant along the route from Tokyo Station to Shinjuku Station as the starting point and destination", the server calculates the moving route from Tokyo Station to Shinjuku Station and searches for Italian restaurants on that route. The server sends a list of the optimal candidates to the terminal based on the user's preferences. When the user selects one of the candidates and makes a reservation, the server confirms the reservation and sends the information back to the terminal.

[0305] With this system, the user can quickly find an appropriate information-providing place along their moving route without much effort and complete the reservation.

[0306] The following describes the processing flow.

[0307] Step 1:

[0308] The user inputs the starting point and destination into the terminal. Further, the user inputs the type of cuisine and the time zone of use as search conditions and sends a search request.

[0309] Step 2:

[0310] The terminal sends the input data from the user to the server via the network. This information includes the starting point, destination, type of cuisine desired, visiting time zone, etc.

[0311] Step 3:

[0312] Based on the received information, the server calculates the optimal moving route. Using the API of the map information service, the server obtains the route from the starting point to the destination.

[0313] Step 4:

[0314] The server searches for information providers located along the calculated route. It accesses a database of information providers, such as restaurants and cafes, and lists candidates that match the user's search criteria.

[0315] Step 5:

[0316] The server analyzes the user's past search history and current situation. Using AI, it generates personalized recommendations and reflects them in a list of suggested information sources.

[0317] Step 6:

[0318] The server sends search results and recommendation information to the device. This includes the names, locations, ratings, and menu information of potential information providers.

[0319] Step 7:

[0320] The device displays a list of received information locations to the user. The user selects a desired information location based on the information presented.

[0321] Step 8:

[0322] The user enters their intention to make a reservation at their chosen information provider location into the terminal and submits the reservation request.

[0323] Step 9:

[0324] The terminal sends a reservation request to the server and performs a check to see if the reservation is possible.

[0325] Step 10:

[0326] The server initiates the reservation process for the selected information source. If successful, it sends reservation confirmation information to the terminal.

[0327] Step 11:

[0328] The server will also send promotional and event information for the vicinity of the information provision location where the reservation has been completed to the terminal, if necessary.

[0329] Step 12:

[0330] The user receives a reservation confirmation notification from their device and finalizes their meal plan. They then review any additional information as needed and begin their journey.

[0331] (Example 1)

[0332] 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."

[0333] Conventional information retrieval systems have struggled to efficiently search for information providers located along user-specified routes and provide recommendations tailored to user preferences. Furthermore, they lacked the functionality to offer personalized services utilizing users' past behavioral data, making it impossible to present optimal information to users. This invention aims to solve these problems and make user travel smoother and more meaningful.

[0334] 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.

[0335] In this invention, the server includes means for acquiring data on the starting point and destination, means for connecting to a storage medium storing location data of information providers located along the route, and means for searching for information providers located along the route and displaying them based on the data on the starting point and destination. This enables efficient and personalized searching, display, and reservation of information providers along a route specified by the user.

[0336] "Departure point and destination data" refers to information indicating the start and end points of a journey specified by the user, and is used for calculating the journey route and searching for information provision points.

[0337] An "information provision point" refers to a location that indicates various service facilities and shops that a user can visit while traveling, and it provides data tailored to the user's interests and preferences.

[0338] A "storage medium that stores location data" is a data storage device that records and maintains the geographical location of information provision points, and is a medium that provides data that forms the basis of the search process.

[0339] "Means for connecting to a storage medium" refers to a mechanism for a server or system to access a storage medium in order to acquire the aforementioned location data.

[0340] A "generative AI model" is a model based on machine learning algorithms used to analyze a user's past behavioral data and current situation to generate personalized recommendation information.

[0341] "Means for calculating the optimal route" refers to the process of calculating the most efficient travel route by considering the distance and time from the starting point to the destination, as well as the user's conditions.

[0342] A "terminal" is a device used by users to input information or view results provided by a server, and generally refers to a smartphone or computer.

[0343] "Means for displaying search results on the user's device" refers to a function that presents a list of information sources processed by the server to the user's device in a visual format.

[0344] "Means of performing registration procedures" refers to functions that allow users to formally interact with the information provider location they have selected through the system, such as making reservations or inquiries.

[0345] This invention is a system that efficiently searches for information provision locations along a user's route when they travel from a starting point to a destination, and provides personalized recommendation information tailored to the user's preferences. This system consists of a user's terminal, a server connected via a network, and a storage medium that records location data of information provision locations.

[0346] Users input their departure and destination points using a dedicated application on their own devices. They also enter search criteria such as the type of cuisine and desired visit time, and send this data from their devices to the server.

[0347] The terminal collects user input data, converts it into JSON format, and sends it to the server over the network. This data includes the starting and ending points of the journey, as well as the user's preferences. For example, information such as "starting point is Tokyo Station, destination is Shinjuku Station, search for Italian restaurants along the route" is sent.

[0348] Upon receiving data from the terminal, the server calculates the optimal route using a mapping program such as the Google Maps API. Furthermore, the server accesses a database such as MySQL to search for information points along the route. During this process, it utilizes a generative AI model to analyze the user's past behavior data and current situation, generating personalized recommendations.

[0349] Search results, including location information, ratings, menus, and business hours, are sent from the server to the user's device. The device displays this information on its user interface, allowing the user to make the best choice.

[0350] When a user selects a specific information provider location and wishes to make a reservation, the terminal sends this information back to the server. The server then coordinates with the reservation system of the selected information provider location and carries out the reservation process. Finally, it notifies the user that the process is complete.

[0351] An example of a prompt message is: "Set the departure point to Tokyo Station and the destination to Shinjuku Station, search for Italian restaurants along the route, and make a reservation based on that."

[0352] Thus, the system of the present invention achieves excellent information processing that seamlessly handles everything from acquiring information about the travel route specified by the user, recommending the optimal information provision location, and completing the reservation procedure.

[0353] The flow of the specific processing in Example 1 will be explained using Figure 11.

[0354] Step 1:

[0355] The user launches a dedicated application on their terminal and enters search criteria such as their departure point, destination, type of cuisine, and desired visit time. This is the input data, which forms the basic information necessary to start processing the entire system.

[0356] Step 2:

[0357] The terminal converts the information entered by the user into JSON format. This data is sent to the server over the network. The output from the terminal is structured data that includes the starting point, destination, and the user's search criteria.

[0358] Step 3:

[0359] The server parses the JSON data received from the terminal. Based on this, it calls an external map service API to calculate the optimal travel route. The input is JSON data from the terminal, and the server obtains route information from this data. The output is the most efficient travel route.

[0360] Step 4:

[0361] The server accesses its own database based on the calculated route information to search for information providers along the route. It uses a database such as MySQL and extracts location information that matches the specified criteria using SQL queries. The input consists of route information and user search criteria, and the output is a list of information providers that meet the criteria.

[0362] Step 5:

[0363] The server utilizes a generative AI model to analyze the user's past behavior history and current situation. This analysis generates personalized recommendations for the user. The input is the user's past behavior data and current situation data, and the output is personalized recommendations.

[0364] Step 6:

[0365] The server structures the search results and recommendation information in JSON format and sends it to the terminal. The input is a list of information sources and recommendation information, and the output is structured data for display on the user's terminal.

[0366] Step 7:

[0367] The terminal parses the information received from the server and displays it on the user interface. The user can view potential information providers along the route. The input is JSON data from the server, and the output is a list-formatted information that appeals to the user's visual sense.

[0368] Step 8:

[0369] The user selects their desired location from the displayed information locations. Furthermore, if a reservation is required, they enter details such as their desired reservation time. This becomes new input data for the next process.

[0370] Step 9:

[0371] The terminal converts the user's selections and reservation information into JSON format and sends it back to the server. The input is the user's selection information, and the output is the reservation request data sent to the server.

[0372] Step 10:

[0373] The server communicates with the system of the selected information provider and executes the reservation process. This confirms the reservation. The input is a reservation request from the terminal, and the output is reservation completion information.

[0374] Step 11:

[0375] The server sends confirmation information to the terminal indicating that the reservation is complete. Furthermore, it provides value-added promotional and event information as needed. The input is the result of the reservation process, and the output is the confirmation information notified to the user.

[0376] (Application Example 1)

[0377] Next, we will explain Application Example 1. In the following explanation, the data processing device 12 will be referred to as the "server," and the smart glasses 214 will be referred to as the "terminal."

[0378] When users are traveling, it is essential to efficiently search for information-providing locations along their route from their starting point to their destination and to provide appropriate services without requiring them to expend much effort. This problem can be solved by providing personalized suggestions based on the user's past behavioral data and current situation, but it is necessary to build a system that enhances convenience without compromising usability.

[0379] 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.

[0380] In this invention, the server includes means for acquiring information on the departure point and destination, means for connecting to an information recording medium storing location data of information provision locations along the route, and means for calculating the travel route using external means and presenting recommendation information regarding information provision locations along the route. This enables the user to receive the most suitable service while traveling.

[0381] "Departure point" refers to the location where the user begins their journey.

[0382] "Destination" refers to information indicating the place where the user wants to complete their journey.

[0383] An "information provision location" is a facility or place that provides specific information or services to users.

[0384] "Location data" refers to data that indicates the geographical location of the place where information is provided.

[0385] An "information recording medium" is a medium for storing location data and other related information.

[0386] "External means" refer to external services or APIs that a server uses to connect and perform its functions.

[0387] A "travel route" refers to information indicating the optimal path from the starting point to the destination.

[0388] "Recommendation information" refers to highly relevant information provided based on the user's past data and current circumstances.

[0389] "Service" refers to goods, information, reservations, or other beneficial actions provided to a user.

[0390] The system implementing this invention consists of a user terminal, a server, and an information recording medium. The user uses the terminal to input information about their starting point and destination. This information, along with the user's preferences and details of desired services, is sent to the server. The server calculates the travel route using an external map API and searches a database for information-providing locations along that route or related to the destination.

[0391] The server analyzes the user's past behavior history and current situation to generate optimized recommendation information. In this process, the server refers to location data stored in a database and integrates the information using specified external services, particularly map services such as the Google Maps API.

[0392] For example, if a user requests "Ginza as the starting point, Shibuya as the destination, and recommends sushi restaurants in between," the server will first set up a travel route via the Google Maps API, and then extract and recommend sushi restaurants from the area around that route. This recommendation information will include location data, user ratings, and special offers.

[0393] Using a generative AI model, prompt messages are generated that take into account past usage and current circumstances, leading to more accurate information provision and improved user experience.

[0394] The flow of a specific process in Application Example 1 will be explained using Figure 12.

[0395] Step 1:

[0396] The user enters their departure point, destination, and details of the desired service into the terminal. The terminal receives this as input data and sends it to the server. The output at this stage is the request data sent to the server.

[0397] Step 2:

[0398] The server calculates the travel route using the external Google Maps API based on the data it receives. The input is the request data from the device, and the output is optimized travel route information. This information is used to find information sources in the next step.

[0399] Step 3:

[0400] The server uses route information to match location data of information providers in the database and searches for relevant information providers along the route. The input is travel route information, and the output is a list of candidate information providers. This list includes location information and service details.

[0401] Step 4:

[0402] The server analyzes the user's past usage history and current situation, and generates personalized recommendations using a generative AI model. The input is the user's history data and a list of information sources for search results, and the output is recommendations tailored to the user.

[0403] Step 5:

[0404] The server sends the final recommendation information to the terminal, which then displays it to the user. The input is the recommendation information from the server, and the output is the information displayed on the user's screen. Based on this information, the user selects the service they wish to use.

[0405] 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.

[0406] The present invention is an information processing system for efficiently searching for information-providing locations along a route during travel from a starting point to a destination, and for providing information tailored to the user's emotions. This system consists of a user's terminal, a server connected via a network, an information recording medium storing location data of information-providing locations, and an emotion engine that recognizes the user's emotions.

[0407] System structure and implementation

[0408] User Input: The user enters their departure point and destination using a terminal. They also enter their desired information provision conditions, such as the type of food offered and the planned time of day.

[0409] How the emotion engine works:

[0410] User: Uses the microphone and camera built into the device to transmit emotional data through voice and facial expressions.

[0411] Device: This data is sent to the emotion engine, which analyzes and recognizes the user's emotions.

[0412] Server-side processing:

[0413] Server: After receiving input data from the user, it receives the emotional state identified by the emotion engine.

[0414] Server: Uses a map service API to identify appropriate information sources along the specified route.

[0415] Server: Optimizes the list of information locations based on the user's emotional state. For example, if the user is seeking relaxation, the server prioritizes displaying quiet and calming locations.

[0416] Display and select results:

[0417] Device: Displays a list of informational locations tailored to the user's emotions. The user selects a location they wish to visit based on the displayed information.

[0418] User: If you wish to make a reservation at the selected information provision location, enter this information into the terminal and submit it.

[0419] Booking procedures and notifications:

[0420] Server: Based on the user's selection, it executes the reservation process with the information provider.

[0421] Server: Once a reservation is complete, the server sends the result to the terminal and notifies the user. In addition, it can provide additional information tailored to the user's emotional state (e.g., relaxing events or plans).

[0422] Specific example

[0423] For example, if a user is traveling from Tokyo Station to Yokohama Station and is looking for a cafe where they can relax, the emotion engine analyzes the user's tone of voice and facial expressions to identify an emotional state where they want to reduce stress. Based on this information, the server prioritizes presenting the user with cafes more suitable for a break than a regular list of cafes. The user can then select one from the list, complete the reservation through the server, and head to their next destination with peace of mind.

[0424] In this way, the present invention makes it possible to provide advanced services tailored to individual needs by providing information that takes user emotions into consideration.

[0425] The following describes the processing flow.

[0426] Step 1:

[0427] The user launches the application on their device and enters their starting point and destination. They then enter criteria for the information-providing locations they wish to visit.

[0428] Step 2:

[0429] The terminal transmits the entered departure and destination information, as well as the user's desired information delivery location conditions, to the server via the network.

[0430] Step 3:

[0431] The device uses its built-in microphone and camera to collect user voice data and facial expression video. This data is then sent to the emotion engine.

[0432] Step 4:

[0433] The emotion engine analyzes received audio data and facial expression information to identify the user's current emotional state. For example, it might determine that the user is experiencing stress based on their tone of voice and facial expressions.

[0434] Step 5:

[0435] The server calculates the optimal travel route based on the received origin, destination, and information source conditions. Route information is obtained using a map API.

[0436] Step 6:

[0437] The server searches the database for information delivery locations along the calculated path. Here, it also considers the user's emotional state, prioritizing information delivery locations that align with that emotional state.

[0438] Step 7:

[0439] The server generates a list of recommended locations for information based on the emotional state obtained from the emotion engine. The list includes suggestions that match the emotional state, such as places to reduce stress.

[0440] Step 8:

[0441] The server sends a list of recommended information locations to the terminal. The list includes the location, rating, and available time for each information location.

[0442] Step 9:

[0443] The device displays a list of received information locations to the user. The user selects a location they wish to visit from the displayed list.

[0444] Step 10:

[0445] After the user selects the information provider they wish to visit, the terminal sends this selection information to the server and requests a reservation.

[0446] Step 11:

[0447] The server proceeds with the reservation process for the selected information source. Once the reservation is complete, it sends the result to the terminal.

[0448] Step 12:

[0449] The device displays a reservation confirmation notification to the user. At the same time, it also displays additional recommendations that take into account the user's emotional state (for example, relaxing activities).

[0450] These steps allow users to find the best source of information that reflects their emotions.

[0451] (Example 2)

[0452] 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".

[0453] The present invention aims to provide a system that can efficiently search for information provision locations that accurately reflect the user's emotional state during travel from a starting point to a destination, and provide information optimized to the user's needs. Conventional systems have the problem of lacking convenience because they simply present information provision locations along the route without adequately considering the user's emotions or intuitive needs.

[0454] 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.

[0455] In this invention, the server includes means for acquiring information on the starting point and destination, means for acquiring emotion data using an engine that recognizes the user's emotions, and means for optimizing the recommendation of information provision locations based on the emotion data. This enables the provision of more personalized information that responds to the user's emotions.

[0456] "Starting point" refers to the location that serves as the starting point for beginning a journey.

[0457] "Destination" refers to the place where the journey ends.

[0458] An "information provision point" refers to a facility or location located along a route that provides specific services or information.

[0459] "Location data" refers to coordinate information and related geographical data used to indicate the location of a specific point.

[0460] An "information recording medium" refers to a device or medium that records and stores data in digital format.

[0461] An "emotion engine" refers to software or hardware that analyzes a user's voice and facial expression data to identify their emotional state.

[0462] "Emotional data" refers to information generated by an emotion engine to indicate the user's emotional state.

[0463] "Route" refers to the path or route taken when traveling from a starting point to a destination.

[0464] A "server" refers to a central computing device used for processing information over a network.

[0465] "Reservation procedure" refers to the administrative process of confirming the use of a service at a specific information provision location based on the user's selection.

[0466] A "notification" is a means of communication used to inform users that information has been updated or that a response has been made.

[0467] "Optimization" is the process of efficiently adjusting information provision and processing according to specific conditions and objectives in order to obtain the best possible results.

[0468] This invention is a system that searches for information provision locations along the user's route from their starting point to their destination that are appropriate to the user's emotional state, and provides optimized information. This system is realized by combining a server, a terminal, and an emotion engine.

[0469] First, the user uses a device to enter their starting point and destination. This device is typically a mobile device such as a smartphone or tablet. The device accepts details of the information source that the user enters as conditions.

[0470] Next, the user's voice and facial expression data are acquired via the device's microphone and camera. This data is sent to the emotion engine through the software installed on the device. The emotion engine uses a generative AI model to analyze voice tone and facial expressions to identify the user's emotional state. This process allows the system to understand the user's current state.

[0471] Subsequently, the server receives the departure and destination information obtained from the terminal, as well as sentiment data from the sentiment engine. The server uses a map service API to search for information providers along the specified route and then generates an optimized list based on the sentiment data. This optimization involves filtering the data, for example, prioritizing quiet facilities if relaxation is needed.

[0472] The options offered to the user are displayed in a feed format on the device screen. The user selects the information source they wish to visit by tapping. The selected location is then booked via the server. Once the booking is complete, the server notifies the device. At this time, the server can also provide additional information tailored to the user's emotional state (for example, information on specific entertainment events).

[0473] For example, if a user enters a prompt message into the terminal such as, "My starting point is Tokyo Station, and my destination is Yokohama Station. I'm looking for a cafe where I can relax," the system will use this to provide the most suitable suggestions, ensuring an information retrieval experience that meets the user's needs.

[0474] Thus, the invention realizes a system that is based on emotions and enables the provision of advanced services to Eura.

[0475] The flow of the specific processing in Example 2 will be explained using Figure 13.

[0476] Step 1:

[0477] The user enters their departure point, destination, and desired information source conditions into the terminal. This information is sent to an application within the terminal. The terminal prepares this text data as a formalized request. The output is the user request data used in the next step.

[0478] Step 2:

[0479] The user provides their voice and facial expression data through the device's microphone and camera. The device collects this data to send to the emotion engine. The input is raw voice and visual data, and the output is analyzed data for processing by the emotion engine.

[0480] Step 3:

[0481] The device transmits collected voice and facial expression data to the emotion engine. The emotion engine uses a generative AI model to perform emotion identification calculations from the input data. It analyzes the data and outputs the user's emotional state as a numerical value or tag.

[0482] Step 4:

[0483] The server integrates user request data and sentiment data received from the terminal. The server searches for information points along the route from the starting point to the destination via a map service API. User conditions and sentiment data are used as filter conditions in the search. The output is a list of information points optimized based on sentiment.

[0484] Step 5:

[0485] The device displays a list of information providers received from the server on its screen. The displayed data is listed in a feed format and arranged to be intuitively easy to select. Users select information providers of interest by tapping on them.

[0486] Step 6:

[0487] Based on the user's selection, the server executes the booking process with the information provider. The server communicates with the affiliated online booking system and performs a series of processes to confirm the user's booking. The output is confirmation information of the completed booking.

[0488] Step 7:

[0489] The server notifies the terminal that the reservation is complete. The terminal displays this information to the user as a notification. Depending on the user's emotional state, it may also present additional relevant event or service information. Ultimately, the user is ready to visit the information location with peace of mind.

[0490] (Application Example 2)

[0491] 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."

[0492] In modern urban life, it is difficult for users on the go to obtain information that is appropriate to their emotional state in real time. Furthermore, the information provided is not optimized to the user's emotions, which can lead to stress and dissatisfaction. Conventional systems do not adequately optimize information delivery based on emotions, making it a challenge to improve user satisfaction.

[0493] 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.

[0494] In this invention, the server includes means for acquiring information on the departure point and destination, means for connecting to an information recording medium storing location data of information provision locations along the route, and means for analyzing the user's emotional state and recommending information provision locations based on the results. This allows the user to acquire information that is best suited to their emotional state in real time while traveling, thereby reducing stress and dissatisfaction.

[0495] "Means for obtaining information on the starting point and destination" refers to a system that collects information on the starting and ending points necessary for a user to travel from their current location to their destination.

[0496] "Means for connecting to an information recording medium that stores location data of information provision locations" refers to a method of accessing a database that holds location information of various facilities and services along the route.

[0497] "A means of searching for information provision locations and displaying them based on the departure point and destination information" refers to a system that identifies facilities and services that match the user's travel plans and displays their locations.

[0498] "Means of registering at an information provision location selected by the user" refers to methods of making reservations or entries for facilities or services chosen by the user.

[0499] "A means of analyzing the emotional state of users and recommending information provision locations based on the results" refers to a system that grasps the emotions of users from audio and video data and proposes appropriate facilities and services according to that state.

[0500] "A means of providing users with information tailored to their emotional state in real time while they are on the move" refers to a method of constantly monitoring the user's emotions while they are traveling and providing them with timely and appropriate information.

[0501] To implement this invention, the user inputs information about their starting point and destination using a smartphone or wearable device. This allows the device to determine the current location and the travel route, including the destination. Next, the device continuously collects the user's emotional data through a microphone and camera.

[0502] The device uses an emotion analysis engine to analyze collected audio and image data to identify the user's emotional state. Emotion recognition technologies such as Amazon Rekognition and Google Cloud Speech-to-Text are used in this process. Once the emotion data is processed, the results are sent to the server.

[0503] The server consults a database of information providers based on the received emotional state and the origin and destination information. Using the Google Maps API, it identifies appropriate information providers along the route. For example, if the emotional state indicates stress reduction, the server might recommend a quiet and relaxing cafe or park.

[0504] The recommendation results are sent to the device and displayed to the user as a list of appropriate information sources. If the user selects a specific location, the reservation process is carried out via the server. Once the reservation is complete, the device is notified, and additional event information tailored to the user's emotional state is also provided.

[0505] For example, if a user wants to relax after work, the device analyzes the user's state and recommends a spa or cafe with a quiet environment. An example of a prompt message would be, "If the user is feeling stressed, please suggest a place where they can relax." In this way, the invention enables the provision of information that is tailored to the user's emotions.

[0506] The flow of a specific process in Application Example 2 will be explained using Figure 14.

[0507] Step 1:

[0508] The user enters their starting point and destination into the device. The entered data is stored on the device, and a travel route is established. Based on this, the device tracks the user's location in real time.

[0509] Step 2:

[0510] The device uses a microphone and camera to collect audio and image data. This data is preprocessed for sentiment analysis, including noise reduction. The preprocessed data is then sent to the sentiment engine.

[0511] Step 3:

[0512] The emotion engine analyzes the user's emotional state from audio and image data. Here, a generative AI model is used to analyze the data and output the emotional state. The output emotional state data is then sent to the server.

[0513] Step 4:

[0514] The server receives emotional state data and uses existing geographic information APIs to search for information providers along the route. It uses data on the starting point, destination, and route-based information providers as input to generate a list of facilities that match the emotional state.

[0515] Step 5:

[0516] The generated list of information-providing locations is optimized based on the user's emotional state and sent from the server to the terminal. Depending on the user's mood, for example, if relaxation is deemed necessary, quiet locations will be prioritized.

[0517] Step 6:

[0518] The terminal displays an optimized list to the user and provides an interface for the user to make a selection. Once the user has made their selection, that information is sent to the server.

[0519] Step 7:

[0520] The server receives the user's selection information and initiates the reservation process with the information provider. Upon successful reservation, a reservation completion notification and additional information are sent to the terminal.

[0521] Step 8:

[0522] The device displays a notification to the user regarding the completion of their reservation, including additional information such as events and plans tailored to the user's emotional state. This allows the user to proceed to the next step with confidence.

[0523] 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.

[0524] 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.

[0525] 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.

[0526] [Third Embodiment]

[0527] Figure 5 shows an example of the configuration of the data processing system 310 according to the third embodiment.

[0528] 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.

[0529] 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).

[0530] 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.

[0531] 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.

[0532] 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).

[0533] 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.

[0534] 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.

[0535] 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.

[0536] 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.

[0537] 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.

[0538] 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".

[0539] This invention is an information processing system aimed at efficiently searching for and presenting information-providing locations along a route during travel from a starting point to a destination. Specific embodiments of this system will be described below.

[0540] System Concept

[0541] This system consists of a user's terminal, a server connected via a network, and an information recording medium that stores location data of information provision locations.

[0542] Input and search functions

[0543] User: Enter the departure point and destination into the terminal. Also, enter detailed information such as the type of cuisine and time you wish to order as search criteria.

[0544] Terminal: Sends the entered information to the server via the network. This information includes the start point of the journey, the end point, and the user's preferences.

[0545] Server-based processing

[0546] Server: Based on the received information, the server begins calculating the route. The server uses an external map service API to calculate the optimal route and extracts consumer service locations along the route from the database.

[0547] Server: The server also analyzes the user's past behavior history and current situation, and generates personalized recommendations based on that information.

[0548] Display and select results

[0549] Terminal: Displays a list of information sources received from the server to the user. This includes detailed information such as location, ratings, menus, and business hours.

[0550] User: Based on the information provided, select the desired information delivery location and, if you wish to make a reservation, enter that intention into the terminal.

[0551] Reservation procedure

[0552] Terminal: The terminal sends the selected information to the server, which then performs the reservation process with the information provider.

[0553] Server: When a reservation is completed, the server will transfer the result to the terminal and notify the user. It can also provide information on nearby events and promotions as needed.

[0554] Specific example

[0555] For example, if a user requests to "start from Tokyo Station, go to Shinjuku Station, and search for Italian restaurants along the route," the server calculates the travel route from Tokyo Station to Shinjuku Station and searches for Italian restaurants along that route. The server then sends a list of the best options to the user's device based on their preferences. Once the user selects one of the options and makes a reservation, the server confirms the reservation and sends that information back to the device.

[0556] This system allows users to quickly find appropriate information locations along their travel route and even complete reservations without any hassle.

[0557] The following describes the processing flow.

[0558] Step 1:

[0559] The user enters their departure and destination points into the terminal. They then enter their desired type of cuisine and time slot as search criteria and submit a search request.

[0560] Step 2:

[0561] The terminal transmits user input data to the server via the network. This information includes the departure point, destination, desired type of cuisine, and time of visit.

[0562] Step 3:

[0563] The server calculates the optimal travel route based on the received information. It uses a map information service API to obtain the route from the starting point to the destination.

[0564] Step 4:

[0565] The server searches for information providers located along the calculated route. It accesses a database of information providers, such as restaurants and cafes, and lists candidates that match the user's search criteria.

[0566] Step 5:

[0567] The server analyzes the user's past search history and current situation. Using AI, it generates personalized recommendations and reflects them in a list of suggested information sources.

[0568] Step 6:

[0569] The server sends search results and recommendation information to the device. This includes the names, locations, ratings, and menu information of potential information providers.

[0570] Step 7:

[0571] The device displays a list of received information locations to the user. The user selects a desired information location based on the information presented.

[0572] Step 8:

[0573] The user enters their intention to make a reservation at their chosen information provider location into the terminal and submits the reservation request.

[0574] Step 9:

[0575] The terminal sends a reservation request to the server and performs a check to see if the reservation is possible.

[0576] Step 10:

[0577] The server initiates the reservation process for the selected information source. If successful, it sends reservation confirmation information to the terminal.

[0578] Step 11:

[0579] The server will also send promotional and event information for the vicinity of the information provision location where the reservation has been completed to the terminal, if necessary.

[0580] Step 12:

[0581] The user receives a reservation confirmation notification from their device and finalizes their meal plan. They then review any additional information as needed and begin their journey.

[0582] (Example 1)

[0583] 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."

[0584] Conventional information retrieval systems have struggled to efficiently search for information providers located along user-specified routes and provide recommendations tailored to user preferences. Furthermore, they lacked the functionality to offer personalized services utilizing users' past behavioral data, making it impossible to present optimal information to users. This invention aims to solve these problems and make user travel smoother and more meaningful.

[0585] 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.

[0586] In this invention, the server includes means for acquiring data on the starting point and destination, means for connecting to a storage medium storing location data of information providers located along the route, and means for searching for information providers located along the route and displaying them based on the data on the starting point and destination. This enables efficient and personalized searching, display, and reservation of information providers along a route specified by the user.

[0587] "Departure point and destination data" refers to information indicating the start and end points of a journey specified by the user, and is used for calculating the journey route and searching for information provision points.

[0588] An "information provision point" refers to a location that indicates various service facilities and shops that a user can visit while traveling, and it provides data tailored to the user's interests and preferences.

[0589] A "storage medium that stores location data" is a data storage device that records and maintains the geographical location of information provision points, and is a medium that provides data that forms the basis of the search process.

[0590] "Means for connecting to a storage medium" refers to a mechanism for a server or system to access a storage medium in order to acquire the aforementioned location data.

[0591] A "generative AI model" is a model based on machine learning algorithms used to analyze a user's past behavioral data and current situation to generate personalized recommendation information.

[0592] "Means for calculating the optimal route" refers to the process of calculating the most efficient travel route by considering the distance and time from the starting point to the destination, as well as the user's conditions.

[0593] A "terminal" is a device used by users to input information or view results provided by a server, and generally refers to a smartphone or computer.

[0594] "Means for displaying search results on the user's device" refers to a function that presents a list of information sources processed by the server to the user's device in a visual format.

[0595] "Means of performing registration procedures" refers to functions that allow users to formally interact with the information provider location they have selected through the system, such as making reservations or inquiries.

[0596] This invention is a system that efficiently searches for information provision locations along a user's route when they travel from a starting point to a destination, and provides personalized recommendation information tailored to the user's preferences. This system consists of a user's terminal, a server connected via a network, and a storage medium that records location data of information provision locations.

[0597] Users input their departure and destination points using a dedicated application on their own devices. They also enter search criteria such as the type of cuisine and desired visit time, and send this data from their devices to the server.

[0598] The terminal collects user input data, converts it into JSON format, and sends it to the server over the network. This data includes the starting and ending points of the journey, as well as the user's preferences. For example, information such as "starting point is Tokyo Station, destination is Shinjuku Station, search for Italian restaurants along the route" is sent.

[0599] Upon receiving data from the terminal, the server calculates the optimal route using a mapping program such as the Google Maps API. Furthermore, the server accesses a database such as MySQL to search for information points along the route. During this process, it utilizes a generative AI model to analyze the user's past behavior data and current situation, generating personalized recommendations.

[0600] Search results, including location information, ratings, menus, and business hours, are sent from the server to the user's device. The device displays this information on its user interface, allowing the user to make the best choice.

[0601] When a user selects a specific information provider location and wishes to make a reservation, the terminal sends this information back to the server. The server then coordinates with the reservation system of the selected information provider location and carries out the reservation process. Finally, it notifies the user that the process is complete.

[0602] An example of a prompt message is: "Set the departure point to Tokyo Station and the destination to Shinjuku Station, search for Italian restaurants along the route, and make a reservation based on that."

[0603] Thus, the system of the present invention achieves excellent information processing that seamlessly handles everything from acquiring information about the travel route specified by the user, recommending the optimal information provision location, and completing the reservation procedure.

[0604] The flow of the specific processing in Example 1 will be explained using Figure 11.

[0605] Step 1:

[0606] The user launches a dedicated application on their terminal and enters search criteria such as their departure point, destination, type of cuisine, and desired visit time. This is the input data, which forms the basic information necessary to start processing the entire system.

[0607] Step 2:

[0608] The terminal converts the information entered by the user into JSON format. This data is sent to the server over the network. The output from the terminal is structured data that includes the starting point, destination, and the user's search criteria.

[0609] Step 3:

[0610] The server parses the JSON data received from the terminal. Based on this, it calls an external map service API to calculate the optimal travel route. The input is JSON data from the terminal, and the server obtains route information from this data. The output is the most efficient travel route.

[0611] Step 4:

[0612] The server accesses its own database based on the calculated route information to search for information providers along the route. It uses a database such as MySQL and extracts location information that matches the specified criteria using SQL queries. The input consists of route information and user search criteria, and the output is a list of information providers that meet the criteria.

[0613] Step 5:

[0614] The server utilizes a generative AI model to analyze the user's past behavior history and current situation. This analysis generates personalized recommendations for the user. The input is the user's past behavior data and current situation data, and the output is personalized recommendations.

[0615] Step 6:

[0616] The server structures the search results and recommendation information in JSON format and sends it to the terminal. The input is a list of information sources and recommendation information, and the output is structured data for display on the user's terminal.

[0617] Step 7:

[0618] The terminal parses the information received from the server and displays it on the user interface. The user can view potential information providers along the route. The input is JSON data from the server, and the output is a list-formatted information that appeals to the user's visual sense.

[0619] Step 8:

[0620] The user selects their desired location from the displayed information locations. Furthermore, if a reservation is required, they enter details such as their desired reservation time. This becomes new input data for the next process.

[0621] Step 9:

[0622] The terminal converts the user's selections and reservation information into JSON format and sends it back to the server. The input is the user's selection information, and the output is the reservation request data sent to the server.

[0623] Step 10:

[0624] The server communicates with the system of the selected information provider and executes the reservation process. This confirms the reservation. The input is a reservation request from the terminal, and the output is reservation completion information.

[0625] Step 11:

[0626] The server sends confirmation information to the terminal indicating that the reservation is complete. Furthermore, it provides value-added promotional and event information as needed. The input is the result of the reservation process, and the output is the confirmation information notified to the user.

[0627] (Application Example 1)

[0628] 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."

[0629] When users are traveling, it is essential to efficiently search for information-providing locations along their route from their starting point to their destination and to provide appropriate services without requiring them to expend much effort. This problem can be solved by providing personalized suggestions based on the user's past behavioral data and current situation, but it is necessary to build a system that enhances convenience without compromising usability.

[0630] 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.

[0631] In this invention, the server includes means for acquiring information on the departure point and destination, means for connecting to an information recording medium storing location data of information provision locations along the route, and means for calculating the travel route using external means and presenting recommendation information regarding information provision locations along the route. This enables the user to receive the most suitable service while traveling.

[0632] "Departure point" refers to the location where the user begins their journey.

[0633] "Destination" refers to information indicating the place where the user wants to complete their journey.

[0634] An "information provision location" is a facility or place that provides specific information or services to users.

[0635] "Location data" refers to data that indicates the geographical location of the place where information is provided.

[0636] An "information recording medium" is a medium for storing location data and other related information.

[0637] "External means" refer to external services or APIs that a server uses to connect and perform its functions.

[0638] A "travel route" refers to information indicating the optimal path from the starting point to the destination.

[0639] "Recommendation information" refers to highly relevant information provided based on the user's past data and current circumstances.

[0640] "Service" refers to goods, information, reservations, or other beneficial actions provided to a user.

[0641] The system implementing this invention consists of a user terminal, a server, and an information recording medium. The user uses the terminal to input information about their starting point and destination. This information, along with the user's preferences and details of desired services, is sent to the server. The server calculates the travel route using an external map API and searches a database for information-providing locations along that route or related to the destination.

[0642] The server analyzes the user's past behavior history and current situation to generate optimized recommendation information. In this process, the server refers to location data stored in a database and integrates the information using specified external services, particularly map services such as the Google Maps API.

[0643] For example, if a user requests "Ginza as the starting point, Shibuya as the destination, and recommends sushi restaurants in between," the server will first set up a travel route via the Google Maps API, and then extract and recommend sushi restaurants from the area around that route. This recommendation information will include location data, user ratings, and special offers.

[0644] Using a generative AI model, prompt messages are generated that take into account past usage and current circumstances, leading to more accurate information provision and improved user experience.

[0645] The flow of a specific process in Application Example 1 will be explained using Figure 12.

[0646] Step 1:

[0647] The user enters their departure point, destination, and details of the desired service into the terminal. The terminal receives this as input data and sends it to the server. The output at this stage is the request data sent to the server.

[0648] Step 2:

[0649] The server calculates the travel route using the external Google Maps API based on the data it receives. The input is the request data from the device, and the output is optimized travel route information. This information is used to find information sources in the next step.

[0650] Step 3:

[0651] The server uses route information to match location data of information providers in the database and searches for relevant information providers along the route. The input is travel route information, and the output is a list of candidate information providers. This list includes location information and service details.

[0652] Step 4:

[0653] The server analyzes the user's past usage history and current situation, and generates personalized recommendations using a generative AI model. The input is the user's history data and a list of information sources for search results, and the output is recommendations tailored to the user.

[0654] Step 5:

[0655] The server sends the final recommendation information to the terminal, which then displays it to the user. The input is the recommendation information from the server, and the output is the information displayed on the user's screen. Based on this information, the user selects the service they wish to use.

[0656] 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.

[0657] The present invention is an information processing system for efficiently searching for information-providing locations along a route during travel from a starting point to a destination, and for providing information tailored to the user's emotions. This system consists of a user's terminal, a server connected via a network, an information recording medium storing location data of information-providing locations, and an emotion engine that recognizes the user's emotions.

[0658] System structure and implementation

[0659] User Input: The user enters their departure point and destination using a terminal. They also enter their desired information provision conditions, such as the type of food offered and the planned time of day.

[0660] How the emotion engine works:

[0661] User: Uses the microphone and camera built into the device to transmit emotional data through voice and facial expressions.

[0662] Device: This data is sent to the emotion engine, which analyzes and recognizes the user's emotions.

[0663] Server-side processing:

[0664] Server: After receiving input data from the user, it receives the emotional state identified by the emotion engine.

[0665] Server: Uses a map service API to identify appropriate information sources along the specified route.

[0666] Server: Optimizes the list of information locations based on the user's emotional state. For example, if the user is seeking relaxation, the server prioritizes displaying quiet and calming locations.

[0667] Display and select results:

[0668] Device: Displays a list of informational locations tailored to the user's emotions. The user selects a location they wish to visit based on the displayed information.

[0669] User: If you wish to make a reservation at the selected information provision location, enter this information into the terminal and submit it.

[0670] Booking procedures and notifications:

[0671] Server: Based on the user's selection, it executes the reservation process with the information provider.

[0672] Server: Once a reservation is complete, the server sends the result to the terminal and notifies the user. In addition, it can provide additional information tailored to the user's emotional state (e.g., relaxing events or plans).

[0673] Specific example

[0674] For example, if a user is traveling from Tokyo Station to Yokohama Station and is looking for a cafe where they can relax, the emotion engine analyzes the user's tone of voice and facial expressions to identify an emotional state where they want to reduce stress. Based on this information, the server prioritizes presenting the user with cafes more suitable for a break than a regular list of cafes. The user can then select one from the list, complete the reservation through the server, and head to their next destination with peace of mind.

[0675] In this way, the present invention makes it possible to provide advanced services tailored to individual needs by providing information that takes user emotions into consideration.

[0676] The following describes the processing flow.

[0677] Step 1:

[0678] The user launches the application on their device and enters their starting point and destination. They then enter criteria for the information-providing locations they wish to visit.

[0679] Step 2:

[0680] The terminal transmits the entered departure and destination information, as well as the user's desired information delivery location conditions, to the server via the network.

[0681] Step 3:

[0682] The device uses its built-in microphone and camera to collect user voice data and facial expression video. This data is then sent to the emotion engine.

[0683] Step 4:

[0684] The emotion engine analyzes received audio data and facial expression information to identify the user's current emotional state. For example, it might determine that the user is experiencing stress based on their tone of voice and facial expressions.

[0685] Step 5:

[0686] The server calculates the optimal travel route based on the received origin, destination, and information source conditions. Route information is obtained using a map API.

[0687] Step 6:

[0688] The server searches the database for information delivery locations along the calculated path. Here, it also considers the user's emotional state, prioritizing information delivery locations that align with that emotional state.

[0689] Step 7:

[0690] The server generates a list of recommended locations for information based on the emotional state obtained from the emotion engine. The list includes suggestions that match the emotional state, such as places to reduce stress.

[0691] Step 8:

[0692] The server sends a list of recommended information locations to the terminal. The list includes the location, rating, and available time for each information location.

[0693] Step 9:

[0694] The device displays a list of received information locations to the user. The user selects a location they wish to visit from the displayed list.

[0695] Step 10:

[0696] After the user selects the information provider they wish to visit, the terminal sends this selection information to the server and requests a reservation.

[0697] Step 11:

[0698] The server proceeds with the reservation process for the selected information source. Once the reservation is complete, it sends the result to the terminal.

[0699] Step 12:

[0700] The device displays a reservation confirmation notification to the user. At the same time, it also displays additional recommendations that take into account the user's emotional state (for example, relaxing activities).

[0701] These steps allow users to find the best source of information that reflects their emotions.

[0702] (Example 2)

[0703] 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."

[0704] The present invention aims to provide a system that can efficiently search for information provision locations that accurately reflect the user's emotional state during travel from a starting point to a destination, and provide information optimized to the user's needs. Conventional systems have the problem of lacking convenience because they simply present information provision locations along the route without adequately considering the user's emotions or intuitive needs.

[0705] 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.

[0706] In this invention, the server includes means for acquiring information on the starting point and destination, means for acquiring emotion data using an engine that recognizes the user's emotions, and means for optimizing the recommendation of information provision locations based on the emotion data. This enables the provision of more personalized information that responds to the user's emotions.

[0707] "Starting point" refers to the location that serves as the starting point for beginning a journey.

[0708] "Destination" refers to the place where the journey ends.

[0709] An "information provision point" refers to a facility or location located along a route that provides specific services or information.

[0710] "Location data" refers to coordinate information and related geographical data used to indicate the location of a specific point.

[0711] An "information recording medium" refers to a device or medium that records and stores data in digital format.

[0712] An "emotion engine" refers to software or hardware that analyzes a user's voice and facial expression data to identify their emotional state.

[0713] "Emotional data" refers to information generated by an emotion engine to indicate the user's emotional state.

[0714] "Route" refers to the path or route taken when traveling from a starting point to a destination.

[0715] A "server" refers to a central computing device used for processing information over a network.

[0716] "Reservation procedure" refers to the administrative process of confirming the use of a service at a specific information provision location based on the user's selection.

[0717] A "notification" is a means of communication used to inform users that information has been updated or that a response has been made.

[0718] "Optimization" is the process of efficiently adjusting information provision and processing according to specific conditions and objectives in order to obtain the best possible results.

[0719] This invention is a system that searches for information provision locations along the user's route from their starting point to their destination that are appropriate to the user's emotional state, and provides optimized information. This system is realized by combining a server, a terminal, and an emotion engine.

[0720] First, the user uses a device to enter their starting point and destination. This device is typically a mobile device such as a smartphone or tablet. The device accepts details of the information source that the user enters as conditions.

[0721] Next, the user's voice and facial expression data are acquired via the device's microphone and camera. This data is sent to the emotion engine through the software installed on the device. The emotion engine uses a generative AI model to analyze voice tone and facial expressions to identify the user's emotional state. This process allows the system to understand the user's current state.

[0722] Subsequently, the server receives the departure and destination information obtained from the terminal, as well as sentiment data from the sentiment engine. The server uses a map service API to search for information providers along the specified route and then generates an optimized list based on the sentiment data. This optimization involves filtering the data, for example, prioritizing quiet facilities if relaxation is needed.

[0723] The options offered to the user are displayed in a feed format on the device screen. The user selects the information source they wish to visit by tapping. The selected location is then booked via the server. Once the booking is complete, the server notifies the device. At this time, the server can also provide additional information tailored to the user's emotional state (for example, information on specific entertainment events).

[0724] For example, if a user enters a prompt message into the terminal such as, "My starting point is Tokyo Station, and my destination is Yokohama Station. I'm looking for a cafe where I can relax," the system will use this to provide the most suitable suggestions, ensuring an information retrieval experience that meets the user's needs.

[0725] Thus, the invention realizes a system that is based on emotions and enables the provision of advanced services to Eura.

[0726] The flow of the specific processing in Example 2 will be explained using Figure 13.

[0727] Step 1:

[0728] The user enters their departure point, destination, and desired information source conditions into the terminal. This information is sent to an application within the terminal. The terminal prepares this text data as a formalized request. The output is the user request data used in the next step.

[0729] Step 2:

[0730] The user provides their voice and facial expression data through the device's microphone and camera. The device collects this data to send to the emotion engine. The input is raw voice and visual data, and the output is analyzed data for processing by the emotion engine.

[0731] Step 3:

[0732] The device transmits collected voice and facial expression data to the emotion engine. The emotion engine uses a generative AI model to perform emotion identification calculations from the input data. It analyzes the data and outputs the user's emotional state as a numerical value or tag.

[0733] Step 4:

[0734] The server integrates user request data and sentiment data received from the terminal. The server searches for information points along the route from the starting point to the destination via a map service API. User conditions and sentiment data are used as filter conditions in the search. The output is a list of information points optimized based on sentiment.

[0735] Step 5:

[0736] The device displays a list of information providers received from the server on its screen. The displayed data is listed in a feed format and arranged to be intuitively easy to select. Users select information providers of interest by tapping on them.

[0737] Step 6:

[0738] Based on the user's selection, the server executes the booking process with the information provider. The server communicates with the affiliated online booking system and performs a series of processes to confirm the user's booking. The output is confirmation information of the completed booking.

[0739] Step 7:

[0740] The server notifies the terminal that the reservation is complete. The terminal displays this information to the user as a notification. Depending on the user's emotional state, it may also present additional relevant event or service information. Ultimately, the user is ready to visit the information location with peace of mind.

[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 headset-type terminal 314 will be referred to as the "terminal."

[0743] In modern urban life, it is difficult for users on the go to obtain information that is appropriate to their emotional state in real time. Furthermore, the information provided is not optimized to the user's emotions, which can lead to stress and dissatisfaction. Conventional systems do not adequately optimize information delivery based on emotions, making it a challenge to improve user 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 acquiring information on the departure point and destination, means for connecting to an information recording medium storing location data of information provision locations along the route, and means for analyzing the user's emotional state and recommending information provision locations based on the results. This allows the user to acquire information that is best suited to their emotional state in real time while traveling, thereby reducing stress and dissatisfaction.

[0746] "Means for obtaining information on the starting point and destination" refers to a system that collects information on the starting and ending points necessary for a user to travel from their current location to their destination.

[0747] "Means for connecting to an information recording medium that stores location data of information provision locations" refers to a method of accessing a database that holds location information of various facilities and services along the route.

[0748] "A means of searching for information provision locations and displaying them based on the departure point and destination information" refers to a system that identifies facilities and services that match the user's travel plans and displays their locations.

[0749] "Means of registering at an information provision location selected by the user" refers to methods of making reservations or entries for facilities or services chosen by the user.

[0750] "A means of analyzing the emotional state of users and recommending information provision locations based on the results" refers to a system that grasps the emotions of users from audio and video data and proposes appropriate facilities and services according to that state.

[0751] "A means of providing users with information tailored to their emotional state in real time while they are on the move" refers to a method of constantly monitoring the user's emotions while they are traveling and providing them with timely and appropriate information.

[0752] To implement this invention, the user inputs information about their starting point and destination using a smartphone or wearable device. This allows the device to determine the current location and the travel route, including the destination. Next, the device continuously collects the user's emotional data through a microphone and camera.

[0753] The device uses an emotion analysis engine to analyze collected audio and image data to identify the user's emotional state. Emotion recognition technologies such as Amazon Rekognition and Google Cloud Speech-to-Text are used in this process. Once the emotion data is processed, the results are sent to the server.

[0754] The server consults a database of information providers based on the received emotional state and the origin and destination information. Using the Google Maps API, it identifies appropriate information providers along the route. For example, if the emotional state indicates stress reduction, the server might recommend a quiet and relaxing cafe or park.

[0755] The recommendation results are sent to the device and displayed to the user as a list of appropriate information sources. If the user selects a specific location, the reservation process is carried out via the server. Once the reservation is complete, the device is notified, and additional event information tailored to the user's emotional state is also provided.

[0756] For example, if a user wants to relax after work, the device analyzes the user's state and recommends a spa or cafe with a quiet environment. An example of a prompt message would be, "If the user is feeling stressed, please suggest a place where they can relax." In this way, the invention enables the provision of information that is tailored to the user's emotions.

[0757] The flow of a specific process in Application Example 2 will be explained using Figure 14.

[0758] Step 1:

[0759] The user enters their starting point and destination into the device. The entered data is stored on the device, and a travel route is established. Based on this, the device tracks the user's location in real time.

[0760] Step 2:

[0761] The device uses a microphone and camera to collect audio and image data. This data is preprocessed for sentiment analysis, including noise reduction. The preprocessed data is then sent to the sentiment engine.

[0762] Step 3:

[0763] The emotion engine analyzes the user's emotional state from audio and image data. Here, a generative AI model is used to analyze the data and output the emotional state. The output emotional state data is then sent to the server.

[0764] Step 4:

[0765] The server receives emotional state data and uses existing geographic information APIs to search for information providers along the route. It uses data on the starting point, destination, and route-based information providers as input to generate a list of facilities that match the emotional state.

[0766] Step 5:

[0767] The generated list of information-providing locations is optimized based on the user's emotional state and sent from the server to the terminal. Depending on the user's mood, for example, if relaxation is deemed necessary, quiet locations will be prioritized.

[0768] Step 6:

[0769] The terminal displays an optimized list to the user and provides an interface for the user to make a selection. Once the user has made their selection, that information is sent to the server.

[0770] Step 7:

[0771] The server receives the user's selection information and initiates the reservation process with the information provider. Upon successful reservation, a reservation completion notification and additional information are sent to the terminal.

[0772] Step 8:

[0773] The device displays a notification to the user regarding the completion of their reservation, including additional information such as events and plans tailored to the user's emotional state. This allows the user to proceed to the next step with confidence.

[0774] 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.

[0775] 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.

[0776] 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.

[0777] [Fourth Embodiment]

[0778] Figure 7 shows an example of the configuration of the data processing system 410 according to the fourth embodiment.

[0779] 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.

[0780] 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).

[0781] 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.

[0782] 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.

[0783] 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).

[0784] 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.

[0785] 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.

[0786] 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.

[0787] 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.

[0788] 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.

[0789] 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.

[0790] 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".

[0791] This invention is an information processing system aimed at efficiently searching for and presenting information-providing locations along a route during travel from a starting point to a destination. Specific embodiments of this system will be described below.

[0792] System Concept

[0793] This system consists of a user's terminal, a server connected via a network, and an information recording medium that stores location data of information provision locations.

[0794] Input and search functions

[0795] User: Enter the departure point and destination into the terminal. Also, enter detailed information such as the type of cuisine and time you wish to order as search criteria.

[0796] Terminal: Sends the entered information to the server via the network. This information includes the start point of the journey, the end point, and the user's preferences.

[0797] Server-based processing

[0798] Server: Based on the received information, the server begins calculating the route. The server uses an external map service API to calculate the optimal route and extracts consumer service locations along the route from the database.

[0799] Server: The server also analyzes the user's past behavior history and current situation, and generates personalized recommendations based on that information.

[0800] Display and select results

[0801] Terminal: Displays a list of information sources received from the server to the user. This includes detailed information such as location, ratings, menus, and business hours.

[0802] User: Based on the information provided, select your desired information delivery location and, if you wish to make a reservation, enter that intention into the terminal.

[0803] Reservation procedure

[0804] Terminal: The terminal sends the selected information to the server, which then performs the reservation process with the information provider.

[0805] Server: When a reservation is completed, the server will transfer the result to the terminal and notify the user. It can also provide information on nearby events and promotions as needed.

[0806] Specific example

[0807] For example, if a user requests to "start from Tokyo Station, go to Shinjuku Station, and search for Italian restaurants along the route," the server calculates the travel route from Tokyo Station to Shinjuku Station and searches for Italian restaurants along that route. The server then sends a list of the best options to the user's device based on their preferences. Once the user selects one of the options and makes a reservation, the server confirms the reservation and sends that information back to the device.

[0808] This system allows users to quickly find appropriate information locations along their travel route and even complete reservations without any hassle.

[0809] The following describes the processing flow.

[0810] Step 1:

[0811] The user enters their departure and destination points into the terminal. They then enter their desired type of cuisine and time slot as search criteria and submit a search request.

[0812] Step 2:

[0813] The terminal transmits user input data to the server via the network. This information includes the departure point, destination, desired type of cuisine, and time of visit.

[0814] Step 3:

[0815] The server calculates the optimal travel route based on the received information. It uses a map information service API to obtain the route from the starting point to the destination.

[0816] Step 4:

[0817] The server searches for information providers located along the calculated route. It accesses a database of information providers, such as restaurants and cafes, and lists candidates that match the user's search criteria.

[0818] Step 5:

[0819] The server analyzes the user's past search history and current situation. Using AI, it generates personalized recommendations and reflects them in a list of suggested information sources.

[0820] Step 6:

[0821] The server sends search results and recommendation information to the device. This includes the names, locations, ratings, and menu information of potential information providers.

[0822] Step 7:

[0823] The device displays a list of received information locations to the user. The user selects a desired information location based on the information presented.

[0824] Step 8:

[0825] The user enters their intention to make a reservation at their chosen information provider location into the terminal and submits the reservation request.

[0826] Step 9:

[0827] The terminal sends a reservation request to the server and performs a check to see if the reservation is possible.

[0828] Step 10:

[0829] The server initiates the reservation process for the selected information source. If successful, it sends reservation confirmation information to the terminal.

[0830] Step 11:

[0831] The server will also send promotional and event information for the vicinity of the information provision location where the reservation has been completed to the terminal, if necessary.

[0832] Step 12:

[0833] The user receives a reservation confirmation notification from their device and finalizes their meal plan. They then review any additional information as needed and begin their journey.

[0834] (Example 1)

[0835] 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".

[0836] Conventional information retrieval systems have struggled to efficiently search for information providers located along user-specified routes and provide recommendations tailored to user preferences. Furthermore, they lacked the functionality to offer personalized services utilizing users' past behavioral data, making it impossible to present optimal information to users. This invention aims to solve these problems and make user travel smoother and more meaningful.

[0837] 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.

[0838] In this invention, the server includes means for acquiring data on the starting point and destination, means for connecting to a storage medium storing location data of information providers located along the route, and means for searching for information providers located along the route and displaying them based on the data on the starting point and destination. This enables efficient and personalized searching, display, and reservation of information providers along a route specified by the user.

[0839] "Departure point and destination data" refers to information indicating the start and end points of a journey specified by the user, and is used for calculating the journey route and searching for information provision points.

[0840] An "information provision point" refers to a location that indicates various service facilities and shops that a user can visit while traveling, and it provides data tailored to the user's interests and preferences.

[0841] A "storage medium that stores location data" is a data storage device that records and maintains the geographical location of information provision points, and is a medium that provides data that forms the basis of the search process.

[0842] "Means for connecting to a storage medium" refers to a mechanism for a server or system to access a storage medium in order to acquire the aforementioned location data.

[0843] A "generative AI model" is a model based on machine learning algorithms used to analyze a user's past behavioral data and current situation to generate personalized recommendation information.

[0844] "Means for calculating the optimal route" refers to the process of calculating the most efficient travel route by considering the distance and time from the starting point to the destination, as well as the user's conditions.

[0845] A "terminal" is a device used by users to input information or view results provided by a server, and generally refers to a smartphone or computer.

[0846] "Means for displaying search results on the user's device" refers to a function that presents a list of information sources processed by the server to the user's device in a visual format.

[0847] "Means of performing registration procedures" refers to functions that allow users to formally interact with the information provider location they have selected through the system, such as making reservations or inquiries.

[0848] This invention is a system that efficiently searches for information provision locations along a user's route when they travel from a starting point to a destination, and provides personalized recommendation information tailored to the user's preferences. This system consists of a user's terminal, a server connected via a network, and a storage medium that records location data of information provision locations.

[0849] Users input their departure and destination points using a dedicated application on their own devices. They also enter search criteria such as the type of cuisine and desired visit time, and send this data from their devices to the server.

[0850] The terminal collects user input data, converts it into JSON format, and sends it to the server over the network. This data includes the starting and ending points of the journey, as well as the user's preferences. For example, information such as "starting point is Tokyo Station, destination is Shinjuku Station, search for Italian restaurants along the route" is sent.

[0851] Upon receiving data from the terminal, the server calculates the optimal route using a mapping program such as the Google Maps API. Furthermore, the server accesses a database such as MySQL to search for information points along the route. During this process, it utilizes a generative AI model to analyze the user's past behavior data and current situation, generating personalized recommendations.

[0852] Search results, including location information, ratings, menus, and business hours, are sent from the server to the user's device. The device displays this information on its user interface, allowing the user to make the best choice.

[0853] When a user selects a specific information provider location and wishes to make a reservation, the terminal sends this information back to the server. The server then coordinates with the reservation system of the selected information provider location and carries out the reservation process. Finally, it notifies the user that the process is complete.

[0854] An example of a prompt message is: "Set the departure point to Tokyo Station and the destination to Shinjuku Station, search for Italian restaurants along the route, and make a reservation based on that."

[0855] Thus, the system of the present invention achieves excellent information processing that seamlessly handles everything from acquiring information about the travel route specified by the user, recommending the optimal information provision location, and completing the reservation procedure.

[0856] The flow of the specific processing in Example 1 will be explained using Figure 11.

[0857] Step 1:

[0858] The user launches a dedicated application on their terminal and enters search criteria such as their departure point, destination, type of cuisine, and desired visit time. This is the input data, which forms the basic information necessary to start processing the entire system.

[0859] Step 2:

[0860] The terminal converts the information entered by the user into JSON format. This data is sent to the server over the network. The output from the terminal is structured data that includes the starting point, destination, and the user's search criteria.

[0861] Step 3:

[0862] The server parses the JSON data received from the terminal. Based on this, it calls an external map service API to calculate the optimal travel route. The input is JSON data from the terminal, and the server obtains route information from this data. The output is the most efficient travel route.

[0863] Step 4:

[0864] The server accesses its own database based on the calculated route information to search for information providers along the route. It uses a database such as MySQL and extracts location information that matches the specified criteria using SQL queries. The input consists of route information and user search criteria, and the output is a list of information providers that meet the criteria.

[0865] Step 5:

[0866] The server utilizes a generative AI model to analyze the user's past behavior history and current situation. This analysis generates personalized recommendations for the user. The input is the user's past behavior data and current situation data, and the output is personalized recommendations.

[0867] Step 6:

[0868] The server structures the search results and recommendation information in JSON format and sends it to the terminal. The input is a list of information sources and recommendation information, and the output is structured data for display on the user's terminal.

[0869] Step 7:

[0870] The terminal parses the information received from the server and displays it on the user interface. The user can view potential information providers along the route. The input is JSON data from the server, and the output is a list-formatted information that appeals to the user's visual sense.

[0871] Step 8:

[0872] The user selects their desired location from the displayed information locations. Furthermore, if a reservation is required, they enter details such as their desired reservation time. This becomes new input data for the next process.

[0873] Step 9:

[0874] The terminal converts the user's selections and reservation information into JSON format and sends it back to the server. The input is the user's selection information, and the output is the reservation request data sent to the server.

[0875] Step 10:

[0876] The server communicates with the system of the selected information provider and executes the reservation process. This confirms the reservation. The input is a reservation request from the terminal, and the output is reservation completion information.

[0877] Step 11:

[0878] The server sends confirmation information to the terminal indicating that the reservation is complete. Furthermore, it provides value-added promotional and event information as needed. The input is the result of the reservation process, and the output is the confirmation information notified to the user.

[0879] (Application Example 1)

[0880] 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".

[0881] When users are traveling, it is essential to efficiently search for information-providing locations along their route from their starting point to their destination and to provide appropriate services without requiring them to expend much effort. This problem can be solved by providing personalized suggestions based on the user's past behavioral data and current situation, but it is necessary to build a system that enhances convenience without compromising usability.

[0882] 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.

[0883] In this invention, the server includes means for acquiring information on the departure point and destination, means for connecting to an information recording medium storing location data of information provision locations along the route, and means for calculating the travel route using external means and presenting recommendation information regarding information provision locations along the route. This enables the user to receive the most suitable service while traveling.

[0884] "Departure point" refers to the location where the user begins their journey.

[0885] "Destination" refers to information indicating the place where the user wants to complete their journey.

[0886] An "information provision location" is a facility or place that provides specific information or services to users.

[0887] "Location data" refers to data that indicates the geographical location of the place where information is provided.

[0888] An "information recording medium" is a medium for storing location data and other related information.

[0889] "External means" refer to external services or APIs that a server uses to connect and perform its functions.

[0890] A "travel route" refers to information indicating the optimal path from the starting point to the destination.

[0891] "Recommendation information" refers to highly relevant information provided based on the user's past data and current circumstances.

[0892] "Service" refers to goods, information, reservations, or other beneficial actions provided to a user.

[0893] The system implementing this invention consists of a user terminal, a server, and an information recording medium. The user uses the terminal to input information about their starting point and destination. This information, along with the user's preferences and details of desired services, is sent to the server. The server calculates the travel route using an external map API and searches a database for information-providing locations along that route or related to the destination.

[0894] The server analyzes the user's past behavior history and current situation to generate optimized recommendation information. In this process, the server refers to location data stored in a database and integrates the information using specified external services, particularly map services such as the Google Maps API.

[0895] For example, if a user requests "Ginza as the starting point, Shibuya as the destination, and recommends sushi restaurants in between," the server will first set up a travel route via the Google Maps API, and then extract and recommend sushi restaurants from the area around that route. This recommendation information will include location data, user ratings, and special offers.

[0896] Using a generative AI model, prompt messages are generated that take into account past usage and current circumstances, leading to more accurate information provision and improved user experience.

[0897] The flow of a specific process in Application Example 1 will be explained using Figure 12.

[0898] Step 1:

[0899] The user enters their departure point, destination, and details of the desired service into the terminal. The terminal receives this as input data and sends it to the server. The output at this stage is the request data sent to the server.

[0900] Step 2:

[0901] The server calculates the travel route using the external Google Maps API based on the data it receives. The input is the request data from the device, and the output is optimized travel route information. This information is used to find information sources in the next step.

[0902] Step 3:

[0903] The server uses route information to match location data of information providers in the database and searches for relevant information providers along the route. The input is travel route information, and the output is a list of candidate information providers. This list includes location information and service details.

[0904] Step 4:

[0905] The server analyzes the user's past usage history and current situation, and generates personalized recommendations using a generative AI model. The input is the user's history data and a list of information sources for search results, and the output is recommendations tailored to the user.

[0906] Step 5:

[0907] The server sends the final recommendation information to the terminal, which then displays it to the user. The input is the recommendation information from the server, and the output is the information displayed on the user's screen. Based on this information, the user selects the service they wish to use.

[0908] 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.

[0909] The present invention is an information processing system for efficiently searching for information-providing locations along a route during travel from a starting point to a destination, and for providing information tailored to the user's emotions. This system consists of a user's terminal, a server connected via a network, an information recording medium storing location data of information-providing locations, and an emotion engine that recognizes the user's emotions.

[0910] System structure and implementation

[0911] User Input: The user enters their departure point and destination using a terminal. They also enter their desired information provision conditions, such as the type of food offered and the planned time of day.

[0912] How the emotion engine works:

[0913] User: Uses the microphone and camera built into the device to transmit emotional data through voice and facial expressions.

[0914] Device: This data is sent to the emotion engine, which analyzes and recognizes the user's emotions.

[0915] Server-side processing:

[0916] Server: After receiving input data from the user, it receives the emotional state identified by the emotion engine.

[0917] Server: Uses a map service API to identify appropriate information sources along the specified route.

[0918] Server: Optimizes the list of information locations based on the user's emotional state. For example, if the user is seeking relaxation, the server prioritizes displaying quiet and calming locations.

[0919] Display and select results:

[0920] Device: Displays a list of informational locations tailored to the user's emotions. The user selects a location they wish to visit based on the displayed information.

[0921] User: If you wish to make a reservation at the selected information provision location, enter this information into the terminal and submit it.

[0922] Booking procedures and notifications:

[0923] Server: Based on the user's selection, it executes the reservation process with the information provider.

[0924] Server: Once a reservation is complete, the server sends the result to the terminal and notifies the user. In addition, it can provide additional information tailored to the user's emotional state (e.g., relaxing events or plans).

[0925] Specific example

[0926] For example, if a user is traveling from Tokyo Station to Yokohama Station and is looking for a cafe where they can relax, the emotion engine analyzes the user's tone of voice and facial expressions to identify an emotional state where they want to reduce stress. Based on this information, the server prioritizes presenting the user with cafes more suitable for a break than a regular list of cafes. The user can then select one from the list, complete the reservation through the server, and head to their next destination with peace of mind.

[0927] In this way, the present invention makes it possible to provide advanced services tailored to individual needs by providing information that takes user emotions into consideration.

[0928] The following describes the processing flow.

[0929] Step 1:

[0930] The user launches the application on their device and enters their starting point and destination. They then enter criteria for the information-providing locations they wish to visit.

[0931] Step 2:

[0932] The terminal transmits the entered departure and destination information, as well as the user's desired information delivery location conditions, to the server via the network.

[0933] Step 3:

[0934] The device uses its built-in microphone and camera to collect user voice data and facial expression video. This data is then sent to the emotion engine.

[0935] Step 4:

[0936] The emotion engine analyzes received audio data and facial expression information to identify the user's current emotional state. For example, it might determine that the user is experiencing stress based on their tone of voice and facial expressions.

[0937] Step 5:

[0938] The server calculates the optimal travel route based on the received origin, destination, and information source conditions. Route information is obtained using a map API.

[0939] Step 6:

[0940] The server searches the database for information delivery locations along the calculated path. Here, it also considers the user's emotional state, prioritizing information delivery locations that align with that emotional state.

[0941] Step 7:

[0942] The server generates a list of recommended locations for information based on the emotional state obtained from the emotion engine. The list includes suggestions that match the emotional state, such as places to reduce stress.

[0943] Step 8:

[0944] The server sends a list of recommended information locations to the terminal. The list includes the location, rating, and available time for each information location.

[0945] Step 9:

[0946] The device displays a list of received information locations to the user. The user selects a location they wish to visit from the displayed list.

[0947] Step 10:

[0948] After the user selects the information provider they wish to visit, the terminal sends this selection information to the server and requests a reservation.

[0949] Step 11:

[0950] The server proceeds with the reservation process for the selected information source. Once the reservation is complete, it sends the result to the terminal.

[0951] Step 12:

[0952] The device displays a reservation confirmation notification to the user. At the same time, it also displays additional recommendations that take into account the user's emotional state (for example, relaxing activities).

[0953] These steps allow users to find the best source of information that reflects their emotions.

[0954] (Example 2)

[0955] 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".

[0956] The present invention aims to provide a system that can efficiently search for information provision locations that accurately reflect the user's emotional state during travel from a starting point to a destination, and provide information optimized to the user's needs. Conventional systems have the problem of lacking convenience because they simply present information provision locations along the route without adequately considering the user's emotions or intuitive needs.

[0957] 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.

[0958] In this invention, the server includes means for acquiring information on the starting point and destination, means for acquiring emotion data using an engine that recognizes the user's emotions, and means for optimizing the recommendation of information provision locations based on the emotion data. This enables the provision of more personalized information that responds to the user's emotions.

[0959] "Starting point" refers to the location that serves as the starting point for beginning a journey.

[0960] "Destination" refers to the place where the journey ends.

[0961] An "information provision point" refers to a facility or location located along a route that provides specific services or information.

[0962] "Location data" refers to coordinate information and related geographical data used to indicate the location of a specific point.

[0963] An "information recording medium" refers to a device or medium that records and stores data in digital format.

[0964] An "emotion engine" refers to software or hardware that analyzes a user's voice and facial expression data to identify their emotional state.

[0965] "Emotional data" refers to information generated by an emotion engine to indicate the user's emotional state.

[0966] "Route" refers to the path or route taken when traveling from a starting point to a destination.

[0967] A "server" refers to a central computing device used for processing information over a network.

[0968] "Reservation procedure" refers to the administrative process of confirming the use of a service at a specific information provision location based on the user's selection.

[0969] A "notification" is a means of communication used to inform users that information has been updated or that a response has been made.

[0970] "Optimization" is the process of efficiently adjusting information provision and processing according to specific conditions and objectives in order to obtain the best possible results.

[0971] This invention is a system that searches for information provision locations along the user's route from their starting point to their destination that are appropriate to the user's emotional state, and provides optimized information. This system is realized by combining a server, a terminal, and an emotion engine.

[0972] First, the user uses a device to enter their starting point and destination. This device is typically a mobile device such as a smartphone or tablet. The device accepts details of the information source that the user enters as conditions.

[0973] Next, the user's voice and facial expression data are acquired via the device's microphone and camera. This data is sent to the emotion engine through the software installed on the device. The emotion engine uses a generative AI model to analyze voice tone and facial expressions to identify the user's emotional state. This process allows the system to understand the user's current state.

[0974] Subsequently, the server receives the departure and destination information obtained from the terminal, as well as sentiment data from the sentiment engine. The server uses a map service API to search for information providers along the specified route and then generates an optimized list based on the sentiment data. This optimization involves filtering the data, for example, prioritizing quiet facilities if relaxation is needed.

[0975] The options offered to the user are displayed in a feed format on the device screen. The user selects the information source they wish to visit by tapping. The selected location is then booked via the server. Once the booking is complete, the server notifies the device. At this time, the server can also provide additional information tailored to the user's emotional state (for example, information on specific entertainment events).

[0976] For example, if a user enters a prompt message into the terminal such as, "My starting point is Tokyo Station, and my destination is Yokohama Station. I'm looking for a cafe where I can relax," the system will use this to provide the most suitable suggestions, ensuring an information retrieval experience that meets the user's needs.

[0977] Thus, the invention realizes a system that is based on emotions and enables the provision of advanced services to Eura.

[0978] The flow of the specific processing in Example 2 will be explained using Figure 13.

[0979] Step 1:

[0980] The user enters their departure point, destination, and desired information source conditions into the terminal. This information is sent to an application within the terminal. The terminal prepares this text data as a formalized request. The output is the user request data used in the next step.

[0981] Step 2:

[0982] The user provides their voice and facial expression data through the device's microphone and camera. The device collects this data to send to the emotion engine. The input is raw voice and visual data, and the output is analyzed data for processing by the emotion engine.

[0983] Step 3:

[0984] The device transmits collected voice and facial expression data to the emotion engine. The emotion engine uses a generative AI model to perform emotion identification calculations from the input data. It analyzes the data and outputs the user's emotional state as a numerical value or tag.

[0985] Step 4:

[0986] The server integrates user request data and sentiment data received from the terminal. The server searches for information points along the route from the starting point to the destination via a map service API. User conditions and sentiment data are used as filter conditions in the search. The output is a list of information points optimized based on sentiment.

[0987] Step 5:

[0988] The device displays a list of information providers received from the server on its screen. The displayed data is listed in a feed format and arranged to be intuitively easy to select. Users select information providers of interest by tapping on them.

[0989] Step 6:

[0990] Based on the user's selection, the server executes the booking process with the information provider. The server communicates with the affiliated online booking system and performs a series of processes to confirm the user's booking. The output is confirmation information of the completed booking.

[0991] Step 7:

[0992] The server notifies the terminal that the reservation is complete. The terminal displays this information to the user as a notification. Depending on the user's emotional state, it may also present additional relevant event or service information. Ultimately, the user is ready to visit the information location with peace of mind.

[0993] (Application Example 2)

[0994] 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".

[0995] In modern urban life, it is difficult for users on the go to obtain information that is appropriate to their emotional state in real time. Furthermore, the information provided is not optimized to the user's emotions, which can lead to stress and dissatisfaction. Conventional systems do not adequately optimize information delivery based on emotions, making it a challenge to improve user satisfaction.

[0996] 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.

[0997] In this invention, the server includes means for acquiring information on the departure point and destination, means for connecting to an information recording medium storing location data of information provision locations along the route, and means for analyzing the user's emotional state and recommending information provision locations based on the results. This allows the user to acquire information that is best suited to their emotional state in real time while traveling, thereby reducing stress and dissatisfaction.

[0998] "Means for obtaining information on the starting point and destination" refers to a system that collects information on the starting and ending points necessary for a user to travel from their current location to their destination.

[0999] "Means for connecting to an information recording medium that stores location data of information provision locations" refers to a method of accessing a database that holds location information of various facilities and services along the route.

[1000] "A means of searching for information provision locations and displaying them based on the departure point and destination information" refers to a system that identifies facilities and services that match the user's travel plans and displays their locations.

[1001] "Means of registering at an information provision location selected by the user" refers to methods of making reservations or entries for facilities or services chosen by the user.

[1002] "A means of analyzing the emotional state of users and recommending information provision locations based on the results" refers to a system that grasps the emotions of users from audio and video data and proposes appropriate facilities and services according to that state.

[1003] "A means of providing users with information tailored to their emotional state in real time while they are on the move" refers to a method of constantly monitoring the user's emotions while they are traveling and providing them with timely and appropriate information.

[1004] To implement this invention, the user inputs information about their starting point and destination using a smartphone or wearable device. This allows the device to determine the current location and the travel route, including the destination. Next, the device continuously collects the user's emotional data through a microphone and camera.

[1005] The device uses an emotion analysis engine to analyze collected audio and image data to identify the user's emotional state. Emotion recognition technologies such as Amazon Rekognition and Google Cloud Speech-to-Text are used in this process. Once the emotion data is processed, the results are sent to the server.

[1006] The server consults a database of information providers based on the received emotional state and the origin and destination information. Using the Google Maps API, it identifies appropriate information providers along the route. For example, if the emotional state indicates stress reduction, the server might recommend a quiet and relaxing cafe or park.

[1007] The recommendation results are sent to the device and displayed to the user as a list of appropriate information sources. If the user selects a specific location, the reservation process is carried out via the server. Once the reservation is complete, the device is notified, and additional event information tailored to the user's emotional state is also provided.

[1008] For example, if a user wants to relax after work, the device analyzes the user's state and recommends a spa or cafe with a quiet environment. An example of a prompt message would be, "If the user is feeling stressed, please suggest a place where they can relax." In this way, the invention enables the provision of information that is tailored to the user's emotions.

[1009] The flow of a specific process in Application Example 2 will be explained using Figure 14.

[1010] Step 1:

[1011] The user enters their starting point and destination into the device. The entered data is stored on the device, and a travel route is established. Based on this, the device tracks the user's location in real time.

[1012] Step 2:

[1013] The device uses a microphone and camera to collect audio and image data. This data is preprocessed for sentiment analysis, including noise reduction. The preprocessed data is then sent to the sentiment engine.

[1014] Step 3:

[1015] The emotion engine analyzes the user's emotional state from audio and image data. Here, a generative AI model is used to analyze the data and output the emotional state. The output emotional state data is then sent to the server.

[1016] Step 4:

[1017] The server receives emotional state data and uses existing geographic information APIs to search for information providers along the route. It uses data on the starting point, destination, and route-based information providers as input to generate a list of facilities that match the emotional state.

[1018] Step 5:

[1019] The generated list of information-providing locations is optimized based on the user's emotional state and sent from the server to the terminal. Depending on the user's mood, for example, if relaxation is deemed necessary, quiet locations will be prioritized.

[1020] Step 6:

[1021] The terminal displays an optimized list to the user and provides an interface for the user to make a selection. Once the user has made their selection, that information is sent to the server.

[1022] Step 7:

[1023] The server receives the user's selection information and initiates the reservation process with the information provider. Upon successful reservation, a reservation completion notification and additional information are sent to the terminal.

[1024] Step 8:

[1025] The device displays a notification to the user regarding the completion of their reservation, including additional information such as events and plans tailored to the user's emotional state. This allows the user to proceed to the next step with confidence.

[1026] 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.

[1027] 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.

[1028] In the above embodiment, an example was given in which the specific processing is performed by the data processing device 12, but the technology of this disclosure is not limited thereto, and the specific processing may also be performed by the robot 414.

[1029] 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.

[1030] 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.

[1031] 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.

[1032] 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.

[1033] 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.

[1034] 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."

[1035] 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.

[1036] 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.

[1037] 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.

[1038] 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.

[1039] 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.

[1040] 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.

[1041] 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.

[1042] 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.

[1043] 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.

[1044] 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.

[1045] 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.

[1046] 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.

[1047] The following is further disclosed regarding the embodiments described above.

[1048] (Claim 1)

[1049] Means for obtaining information on the departure point and destination,

[1050] A means for connecting to an information recording medium that stores location data of information provision locations located along the route,

[1051] A means for searching for information provision locations along the aforementioned route and displaying them based on the information of the departure point and destination,

[1052] A means of obtaining information on the information provision location selected by the user and performing the registration procedure at the information provision location,

[1053] A means for recommending information provision locations, taking into account the user's past data and current circumstances,

[1054] A system that includes this.

[1055] (Claim 2)

[1056] The system according to claim 1, wherein the display means displays location information of the information provision location based on the location data of the information provision location.

[1057] (Claim 3)

[1058] The system according to claim 1, further comprising means for notifying the user that the aforementioned registration procedure has been completed.

[1059] "Example 1"

[1060] (Claim 1)

[1061] A means of obtaining data on the starting point and destination,

[1062] A means for connecting to a storage medium that stores location data of information provision points located along the route,

[1063] A means for searching for information provision points located along the aforementioned route and displaying them based on the data of the departure point and destination,

[1064] A means for obtaining data from the information provision location selected by the user and performing a reception procedure at the said information provision location,

[1065] A means of calculating the optimal route using an external map program,

[1066] A means for generating personalized recommendation information by analyzing a user's past behavioral data and current situation using a generative AI model,

[1067] A means for displaying the aforementioned search results on the user's terminal,

[1068] A system that includes this.

[1069] (Claim 2)

[1070] The system according to claim 1, wherein the display means displays the location data of the information provision location based on the location data of the information provision location.

[1071] (Claim 3)

[1072] The system according to claim 1, further comprising means for notifying the user of data indicating that the aforementioned reception procedure has been completed.

[1073] "Application Example 1"

[1074] (Claim 1)

[1075] Means for obtaining information on the departure point and destination,

[1076] A means for connecting to an information recording medium that stores location data of information provision locations located along the route,

[1077] A means for searching for information provision locations along the aforementioned route and displaying them based on the information of the departure point and destination,

[1078] A means of obtaining information on the information provision location selected by the user and performing the registration procedure at the information provision location,

[1079] A means for recommending information provision locations, taking into account the user's past data and current circumstances,

[1080] A means for calculating a travel route using external means and presenting recommended information regarding information provision locations along the route,

[1081] Means for performing procedures to provide the specified service based on the aforementioned travel route,

[1082] A system that includes this.

[1083] (Claim 2)

[1084] The system according to claim 1, wherein the display means displays location information of the information provision location and proposes a specified service based on location data of the information provision location.

[1085] (Claim 3)

[1086] The system according to claim 1, further comprising means for notifying the user that the aforementioned registration procedure has been completed and for providing additional recommendation information.

[1087] "Example 2 of combining an emotion engine"

[1088] (Claim 1)

[1089] Means for obtaining information on the departure point and destination,

[1090] A means for connecting to an information recording medium that stores location data of information provision points located along the route,

[1091] A means for searching for information provision points located along the aforementioned route and displaying them based on the information of the departure point and destination,

[1092] A means for acquiring emotional data using the aforementioned engine for recognizing the user's emotions,

[1093] A means for optimizing the recommendation of information provision locations based on the aforementioned sentiment data,

[1094] A means for obtaining information on the information provision location selected by the user and for making a reservation at the said information provision location,

[1095] A means of notifying the user that the aforementioned reservation procedure has been completed and providing additional information based on emotions,

[1096] A system that includes this.

[1097] (Claim 2)

[1098] The system according to claim 1, which displays location information of an information provision point based on location data of the information provision point.

[1099] (Claim 3)

[1100] The system according to claim 1, further comprising means for preferentially displaying optimized information provision locations according to the emotional state of the user.

[1101] "Application example 2 when combining with an emotional engine"

[1102] (Claim 1)

[1103] Means for obtaining information on the departure point and destination,

[1104] A means for connecting to an information recording medium that stores location data of information provision locations located along the route,

[1105] A means for searching for information provision locations along the aforementioned route and displaying them based on the information of the departure point and destination,

[1106] A means of obtaining information on the information provision location selected by the user and performing the registration procedure at the information provision location,

[1107] A means for analyzing the emotional state of the user and recommending information provision locations based on the results,

[1108] A means of providing the user with information in real time that corresponds to their emotional state while they are on the move,

[1109] A system that includes this.

[1110] (Claim 2)

[1111] The system according to claim 1, wherein the display means displays location information of the information provision location based on the location data of the information provision location.

[1112] (Claim 3)

[1113] The system according to claim 1, further comprising means for notifying the user that the aforementioned registration procedure has been completed and for providing additional information according to the emotional state. [Explanation of Symbols]

[1114] 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. Means for obtaining information on the departure point and destination, A means for connecting to an information recording medium that stores location data of information provision locations located along the route, A means for searching for information provision locations along the aforementioned route and displaying them based on the information of the departure point and destination, A means of obtaining information on the information provision location selected by the user and performing the registration procedure at the information provision location, A means for recommending information provision locations, taking into account the user's past data and current circumstances, A system that includes this.

2. The system according to claim 1, wherein the display means displays location information of the information provision location based on the location data of the information provision location.

3. The system according to claim 1, further comprising means for notifying the user that the aforementioned registration procedure has been completed.

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