System

Abstract

A system is provided.SOLUTION: This system is provided with a means for inputting a place that a traveler wants to visit and its priority, a means for transmitting the inputted information to a server, a means for calculating the distance and moving time between respective visiting spots based on the information received by the server, and for generating an optimal sightseeing route under the consideration of the priority, and a means for transmitting the generated optimal route to the terminal of the traveler, and for displaying it.SELECTED DRAWING: Figure 1

Description

[Technical Field]

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

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

[0003] [Patent Document 1] Japanese Patent Publication No. 2022-180282 Summary of the Invention [Problem to be solved by the invention]

[0004] Modern navigation systems only provide the shortest route to a destination, making it difficult for travelers to efficiently visit multiple tourist spots. Travelers tend to waste time traveling between tourist spots, making it difficult to visit many places within a limited number of days. Furthermore, travelers often fail to consider the priorities of the places they want to visit when planning their trip, resulting in trips that do not satisfy their individual needs. Therefore, there is a need for a navigation system that allows travelers to efficiently visit the places they want to visit and makes the most of their travel time. [Means for solving the problem]

[0005] This invention is a system that includes a means for a traveler to input places they would like to visit and their priority, a means for transmitting the input information to a server, a means for the server to calculate the distance and travel time between each visit point based on the information received and generate an optimal tourist route taking the priority into consideration, and a means for transmitting the generated optimal route to the traveler's terminal and displaying it. It also includes a means for the traveler to input corrections to the optimal route and re-transmit the corrected information to the server, and a means for the server to re-calculate the optimal route based on the corrected information and transmit it to the traveler's terminal, and solves the problem by generating an optimal tourist route based on the travel area, number of travel days, and means of transportation, and providing on-site navigation.

[0006] "Tourist" refers to an individual or group of people who intend to visit a tourist or travel destination.

[0007] "Places to visit" refers to specific tourist destinations or spots that travelers want to see or experience during their trip.

[0008] "Priority" refers to an indicator that represents the importance or priority that travelers expect for the places they want to visit.

[0009] "Server" refers to a computer system that analyzes information received from travelers' devices and calculates optimal tourist routes.

[0010] "Terminal" refers to the device (smartphone, tablet, PC, etc.) used by travelers to input information and view optimal routes.

[0011] The "optimal tourist route" refers to a route that shows the order in which you can visit tourist spots efficiently, calculated taking into account the priority of the places you want to visit and the travel distance and time.

[0012] "Means of input" refers to the way in which travelers can input information such as the places they want to visit and their priorities into the device (keyboard, touchscreen, voice input, etc.).

[0013] "Means of transmission" refers to the method (wireless communication, internet connection, etc.) by which the information entered from the traveler's terminal to the server is sent as data.

[0014] "Means for receiving" refers to the function of the server to receive information sent from the terminal.

[0015] "Means for analyzing" refers to the data processing method used by the server to calculate the optimum route for the information received.

[0016] "Means for displaying" refers to the method (display, screen, etc.) by which the optimal route is visually displayed on the device.

[0017] "Means to modify" refers to the method by which a traveler can input changes to the proposed optimal route and resubmit them to the server.

[0018] "Navigation means" refers to a method (e.g., map display, voice instructions) that provides real-time guidance to a traveler to enable them to navigate as directed during their trip. [Brief explanation of the drawings]

[0019] [Figure 1] 1 is a conceptual diagram showing an example of the configuration of a data processing system according to a first embodiment. [Figure 2] 1 is a conceptual diagram showing an example of main functions of a data processing device and a smart device according to a first embodiment. [Figure 3] FIG. 10 is a conceptual diagram showing an example of the configuration of a data processing system according to a second embodiment. [Figure 4] FIG. 10 is a conceptual diagram showing an example of main functions of a data processing device and smart glasses according to a second embodiment. [Figure 5] FIG. 10 is a conceptual diagram showing an example of the configuration of a data processing system according to a third embodiment. [Figure 6] FIG. 11 is a conceptual diagram showing an example of main functions of a data processing device and a headset-type terminal according to a third embodiment. [Figure 7]FIG. 10 is a conceptual diagram showing an example of the configuration of a data processing system according to a fourth embodiment. [Figure 8] FIG. 10 is a conceptual diagram showing an example of main functions of a data processing device and a robot according to a fourth embodiment. [Figure 9] 1 shows an emotion map onto which multiple emotions are mapped. [Figure 10] 1 shows an emotion map onto which multiple emotions are mapped. [Figure 11] FIG. 3 is a sequence diagram showing a processing flow of the data processing system according to the first embodiment. [Figure 12] FIG. 10 is a sequence diagram showing the flow of processing in the data processing system in Application Example 1. [Figure 13] FIG. 10 is a sequence diagram showing the flow of processing in the data processing system according to the second embodiment when an emotion engine is combined. [Figure 14] FIG. 10 is a sequence diagram showing the flow of processing in the data processing system in Application Example 2 when an emotion engine is combined. DETAILED DESCRIPTION OF THE INVENTION

[0020] An example of an embodiment of a system according to the technology of the present disclosure will be described below with reference to the accompanying drawings.

[0021] First, the terms used in the following description will be explained.

[0022] In the following embodiments, a coded processor (hereinafter simply referred to as a "processor") may be a single arithmetic device or a combination of multiple arithmetic devices. Furthermore, a processor may be a single type of arithmetic device or a combination of multiple types of arithmetic devices. Examples of arithmetic devices include a CPU (Central Processing Unit), a GPU (Graphics Processing Unit), a GPGPU (General-Purpose computing on Graphics Processing Units), and an APU (Accelerated Processing Unit).

[0023] In the following embodiments, a coded RAM (Random Access Memory) is a memory in which information is temporarily stored and is used as a working memory by a processor.

[0024] In the following embodiments, the coded storage is one or more non-volatile storage devices that store various programs, various parameters, etc. Examples of non-volatile storage devices include flash memory (SSD (Solid State Drive)), magnetic disks (e.g., hard disks), and magnetic tapes.

[0025] In the following embodiments, a communication I / F (Interface) with a symbol is an interface including a communication processor, an antenna, etc. The communication I / F controls communication between multiple computers. Examples of communication standards applied to the communication I / F include wireless communication standards including 5G (5th Generation Mobile Communication System), Wi-Fi (registered trademark), Bluetooth (registered trademark), etc.

[0026] In the following embodiments, "A and / or B" is synonymous with "at least one of A and B." In other words, "A and / or B" means that it may be only A, only B, or a combination of A and B. Furthermore, in this specification, the same concept as "A and / or B" is also applied when three or more things are expressed connected by "and / or."

[0027] [First embodiment]

[0028] FIG. 1 shows an example of the configuration of a data processing system 10 according to the first embodiment.

[0029] 1, a 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.

[0030] The data processing device 12 includes a computer 22, a database 24, and a communication I / F 26. The computer 22 is an example of a "computer" according to the technology of the present disclosure. The computer 22 includes a processor 28, a RAM 30, and a storage 32. The processor 28, the RAM 30, and the storage 32 are connected to a bus 34. The database 24 and the communication I / F 26 are also connected to the bus 34. The communication I / F 26 is connected to a network 54. Examples of the network 54 include a WAN (Wide Area Network) and / or a LAN (Local Area Network).

[0031] The smart device 14 includes a computer 36, a reception device 38, an output device 40, a camera 42, and a communication I / F 44. The computer 36 includes a processor 46, a RAM 48, and a storage 50. The processor 46, the RAM 48, and the storage 50 are connected to a bus 52. The reception device 38, the output device 40, and the camera 42 are also connected to the bus 52.

[0032] The reception device 38 includes a touch panel 38A, a microphone 38B, and the like, and receives user input. The touch panel 38A detects contact with an indicator (for example, a pen or a finger) to receive user input by the touch of the indicator. The microphone 38B detects the user's voice to receive user input by voice. The control unit 46A transmits data indicating the user input received by the touch panel 38A and the 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.

[0033] 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 of expression that the user 20 can perceive (for example, audio and / or text). The display 40A displays visible information such as text and images in accordance with instructions from the processor 46. The speaker 40B outputs audio in accordance with instructions from the processor 46. The camera 42 is a compact digital camera equipped with an optical system including a lens, aperture, and shutter, and an imaging element such as a CMOS (Complementary Metal-Oxide-Semiconductor) image sensor or a CCD (Charge Coupled Device) image sensor.

[0034] The communication I / F 44 is connected to a network 54. The communication I / Fs 44 and 26 control the exchange of various information between the processor 46 and the processor 28 via the network 54.

[0035] FIG. 2 shows an example of the main functions of the data processing device 12 and the smart device 14.

[0036] 2, in the data processing device 12, a specific process 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" 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 process 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.

[0037] 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 identification processing unit 290.

[0038] In the smart device 14, the processor 46 performs the reception output process. The storage 50 stores a reception output program 60. The reception output program 60 is used in conjunction with the 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 process is realized by the processor 46 operating as the control unit 46A in accordance with the reception output program 60 executed on the RAM 48.

[0039] Next, a description will be given of the specific processing performed by the specific processing unit 290 of the data processing device 12. In the following description, the data processing device 12 will be referred to as a "server" and the smart device 14 will be referred to as a "terminal."

[0040] This invention is a system that automatically calculates and provides optimal sightseeing routes based on the tourist's input of the places they want to visit and their priorities. This system utilizes the tourist's terminal and a server to improve the efficiency of travel planning.

[0041] First, the user inputs the area of ​​the travel destination and the number of days of the trip into the terminal. The user also lists the places they want to visit and their priority on the terminal, and sets the priority for each place. For example, a user can plan a "3-day" trip to "Tokyo" and set the places they want to visit as "Tokyo Tower (high priority), " "Sensoji Temple (medium priority)," and "Shinjuku Gyoen (low priority)."

[0042] Next, the device sends the input information (travel area, number of travel days, list of places to visit, priority) to the server. The server analyzes the received data and calculates the optimal sightseeing route. Specifically, the server calculates the distance and estimated travel time between each visit point, and generates an efficient route for the traveler, taking into account the priority of the visit points. For example, based on the user's input, the route for the first day could be "Sensoji Temple → Tokyo Tower" and for the second day, "Shinjuku Gyoen National Garden."

[0043] The optimal route generated by the server is sent to the device and displayed to the user. The user can review the proposed route and make corrections as necessary. For example, if the user wants to change the route order on the first day to "Tokyo Tower → Sensoji Temple," the correction information is resent from the device to the server. The server then recalculates the optimal route and sends the corrected route information back to the device.

[0044] Once the user has finalized the route, the device will save this optimized route and provide navigation when the trip begins. Navigation will help the user to visit tourist spots along the proposed route through map display and voice instructions.

[0045] As a concrete example, consider the case where a user plans a three-day trip to Tokyo (places to visit: Tokyo Tower, Sensoji Temple, Shinjuku Gyoen National Garden). The user sets priorities for each place and sends that information from the device to the server, which then generates the following optimal route based on the priorities:

[0046] Day 1: Sensoji Temple → Tokyo Tower

[0047] Day 2: Shinjuku Gyoen

[0048] If the user checks the proposed route and wants to change the order on the first day to "Tokyo Tower → Sensoji Temple," the device sends the revised information back to the server, and the server calculates a new optimal route based on the revised information.

[0049] This system allows travelers to use their time efficiently and effectively visit the tourist spots they want to visit. Furthermore, users can adjust their routes as needed during their trip, allowing for flexible travel plans.

[0050] The processing flow will be explained below.

[0051] Step 1:

[0052] User: Enter the area of ​​the destination and the number of days of the trip into the device. For example, enter "Tokyo" and "3 days."

[0053] Step 2:

[0054] User: Lists the places they want to visit and their priorities on their device. For example:

[0055] Tokyo Tower (High Priority)

[0056] Sensoji Temple (Medium Priority)

[0057] Shinjuku Gyoen National Garden (Priority: Low)

[0058] Step 3:

[0059] Terminal: Sends the entered travel area, number of travel days, list of places you want to visit, and priority to the server.

[0060] Step 4:

[0061] Server: Analyzes the received information and temporarily stores data based on the traveler's preferences.

[0062] Step 5:

[0063] Server: Calculates distances and estimated travel times between each destination, using map data and traffic information.

[0064] Step 6:

[0065] Server: Generates the optimal sightseeing route by taking into account the priority, distance, and travel time of the places to visit. For example, the route on the first day might be "Sensoji Temple → Tokyo Tower."

[0066] Step 7:

[0067] Server: Sends the generated optimal route information to the terminal.

[0068] Step 8:

[0069] Terminal: Displays the received optimal route to the user. The user confirms the proposed route.

[0070] Step 9:

[0071] User: If you want to make any changes to the proposed optimal route, enter the changes into the device. For example, change the order on the first day to "Tokyo Tower → Sensoji Temple."

[0072] Step 10:

[0073] Terminal: Send the corrected route information to the server again.

[0074] Step 11:

[0075] Server: Recalculate the optimal route based on the revised information and generate a revised route.

[0076] Step 12:

[0077] Server: Sends the recalculated optimal route to the device.

[0078] Step 13:

[0079] Terminal: The revised optimal route is displayed to the user, who then confirms and confirms the final route.

[0080] Step 14:

[0081] Device: Saves final confirmed route and provides real-time navigation at the start of a trip. Navigation is provided through map display and voice instructions.

[0082] Processing is carried out at each step in this way, providing travelers with the optimal sightseeing route tailored to their needs and enabling efficient travel planning.

[0083] Example 1

[0084] Next, a description will be given of Example 1. In the following description, the data processing device 12 will be referred to as a "server" and the smart device 14 will be referred to as a "terminal."

[0085] Conventional travel planning systems require travelers to manually determine the places they want to visit and their priorities, and then manually plan the optimal sightseeing route, which requires a lot of time and effort. Another problem is that it is difficult to change routes, making it difficult to create flexible travel plans. The present invention aims to solve these problems and provide a system that allows travelers to efficiently create and flexibly change travel plans.

[0086] The specific processing by the specific processing unit 290 of the data processing device 12 in the first embodiment is realized by the following means.

[0087] In this invention, the server includes a device for inputting the places a traveler wants to visit and their priority, a device for transmitting the input information to an information processing device, a device for calculating the distance and travel time between each visit point based on the information received by the information processing device and generating an optimal sightseeing route taking the priority into consideration, a device for transmitting the generated optimal route to the traveler's display device and displaying it, and a device for providing navigation based on the optimal route saved at the start of the trip. This allows travelers to plan their trip efficiently and effectively and makes it easy to modify the route in real time.

[0088] A "tourist" is someone who visits a particular place for tourism, business, or other purposes.

[0089] "Places to visit" refers to locations that travelers wish to visit for sightseeing or sightseeing.

[0090] "Priority" refers to a criterion that indicates the importance or urgency of a destination that a traveler wishes to visit.

[0091] "Device" refers to a hardware or software component designed to perform a specific function.

[0092] "Information processing device" refers to a computer or server that receives, analyzes, calculates, and generates results from data.

[0093] "Display device" refers to a device that visually displays data transmitted from an information processing device. Examples include the screens of smartphones, tablets, and PCs.

[0094] "Navigation" refers to the function of providing travelers with the direction and location information they need to travel along a specific route.

[0095] "Distance" refers to the physical distance between two visit points.

[0096] "Travel Time" refers to the estimated time it takes to travel between two destinations.

[0097] A "route" refers to an optimized path for visiting multiple destinations in sequence.

[0098] This invention is a system that automatically calculates and provides optimal sightseeing routes based on the traveler's input of the places they want to visit and their priorities. This system utilizes the traveler's terminal and an information processing device (server) to improve the efficiency of travel planning.

[0099] First, the user inputs the area of ​​the travel destination and the number of days of the trip into the terminal. The user also lists the places they want to visit and their priorities on the terminal, and sets the priority for each place. For example, if the user plans a "3-day" trip to "City A," they can set the places they want to visit as "Location 1 (high priority)," "Location 2 (medium priority)," and "Location 3 (low priority)."

[0100] Next, the device sends the input information (travel area, number of travel days, list of places to visit, priority) to the server. The server analyzes the received data and calculates the optimal sightseeing route. Specifically, the server calculates the distance and estimated travel time between each visit point, and generates an efficient route for the traveler taking into account the priority of the visit points. To do this, the server obtains the distance and travel time using the Google Maps API and uses an optimization algorithm such as Dijkstra's Algorithm. For example, based on the user's input, the route for the first day could be "Location 2 → Location 1," and for the second day, "Location 3."

[0101] The optimal route generated by the server is sent to the device and displayed to the user. The user can review the proposed route and make corrections as necessary. For example, if the user wants to change the route order on the first day to "Location 1 → Location 2," the correction information is resent from the device to the server. The server then recalculates the optimal route and sends the corrected route information back to the device.

[0102] Finally, once the user has finalized the route, the device will save this optimized route and provide navigation when the trip begins, helping the user to visit the tourist spots along the proposed route through map display and voice instructions.

[0103] As a concrete example, consider the case where a user plans a three-day trip to City A (places to visit: Place 1, Place 2, Place 3). The user sets a priority for each place and sends that information from the device to the server. The server then generates the following optimal route based on the priority:

[0104] Day 1: Location 2 → Location 1

[0105] Day 2: Location 3

[0106] If the user checks the proposed route and decides to change the order of the first day from "Location 1 → Location 2," the device sends the revised information back to the server, which then calculates a new optimal route based on the revised information. This system allows travelers to use their time efficiently and effectively visit the tourist spots they want to visit. Furthermore, users can adjust the route as needed during their trip, allowing for flexible travel planning.

[0107] Example prompt sentence:

[0108] Enter the area you want to travel to and the number of days you want to travel. Then, list the places you want to visit and their priority. For example, enter "3 days in City A, Location 1 (high), Location 2 (medium), Location 3 (low)."

[0109] The flow of the identification process in the first embodiment will be described with reference to FIG.

[0110] Step 1:

[0111] User actions

[0112] Enter the area of ​​your destination and the number of days you wish to travel into the terminal.

[0113] Input: Destination area (e.g., "City A"), number of days (e.g., "3 days")

[0114] Specific operation: The user enters "City A" and "3 days" into the input fields of the terminal and clicks the "Next" button.

[0115] Output: Travel destination area and travel days data entered into the device

[0116] Step 2:

[0117] User actions

[0118] Set the places you want to visit and their priorities on your device.

[0119] Input: Locations you want to visit (e.g. "Location 1, Location 2, Location 3"), Priority (e.g. "High, Medium, Low")

[0120] Specific operation: The user enters "Location 1," "Location 2," and "Location 3" and their priorities "High," "Medium," and "Low" into the input fields on the device and clicks the "Add" button.

[0121] Output: A list of locations and priorities entered on the device

[0122] Step 3:

[0123] Processing performed by the device

[0124] The entered information (travel area, number of travel days, list of places to visit, priority) is sent to the server.

[0125] Input: Travel area, travel days, visit list, priority data entered on the device

[0126] Specific operation: The device compiles this data into JSON format and sends it to the server as a POST request.

[0127] Output: Trip information data sent to the server

[0128] Step 4:

[0129] Processing performed by the server

[0130] The received data is analyzed and the information in each field is extracted.

[0131] Input: JSON format travel information data received from the terminal

[0132] Specific operation: The server analyzes the data for "City A," "3 days," "Location 1 (high)," "Location 2 (medium)," and "Location 3 (low)," and stores it in each field.

[0133] Output: Analyzed travel area, travel days, list of places visited, priority data

[0134] Step 5:

[0135] Processing performed by the server

[0136] Calculates the distance and travel time between each visit point and generates the optimal tourist route taking priorities into account.

[0137] Input: Parsed destination list and priority data

[0138] Data processing / calculation: Using Google Maps API to obtain distances and travel times between each destination, and calculating the optimal route using Dijkstra's Algorithm

[0139] What it does: The server sends a request to the Google Maps API, gets distance and time information, and calculates the route using an optimization algorithm.

[0140] Output: Data on optimal tourist routes

[0141] Step 6:

[0142] Processing performed by the server

[0143] The calculated optimal route data is returned to the terminal.

[0144] Input: Data on optimal tourist routes

[0145] Specific operation: The server repackages this data in JSON format and sends it to the terminal as a POST request.

[0146] Output: Optimal route data sent to the device

[0147] Step 7:

[0148] Processing performed by the device

[0149] Analyzes the route data received from the server and displays it to the user.

[0150] Input: JSON data of the optimal route received from the server

[0151] Specific operation: The device displays "Day 1: Location 2 → Location 1, Day 2: Location 3" and the user confirms the content.

[0152] Output: Optimal route displayed to the user

[0153] Step 8:

[0154] User actions

[0155] Corrections to the optimum route are entered and the corrected information is retransmitted from the terminal to the server.

[0156] Input: Revised route information (e.g., change "Day 1: Location 1 → Location 2")

[0157] Specific operation: The user enters the correction information on the terminal, clicks the "Resend" button, and the terminal sends the corrected data to the server.

[0158] Output: Corrected data sent to the server

[0159] Step 9:

[0160] Processing performed by the server

[0161] The optimal route is recalculated based on the revised information, and the new route is sent to the terminal.

[0162] Input: Corrected route information

[0163] Data processing / calculation: Again, we use the Google Maps API to calculate a new route based on the revised route (using Dijkstra's Algorithm).

[0164] Specific operation: The server analyzes the correction information, calculates a new route, and sends it to the device.

[0165] Output: Recalculated optimal route data

[0166] Step 10:

[0167] User actions

[0168] After checking the route, confirm the route and save it to your device.

[0169] Input: Final route information

[0170] Specific operation: The user clicks the "Confirm" button and the device saves the final route.

[0171] Output: Final route saved on the device

[0172] Step 11:

[0173] Processing performed by the device

[0174] When starting a trip, it provides navigation based on saved routes.

[0175] Input: Saved last route information

[0176] Specific operation: The device navigates through map display and voice instructions, such as "Day 1: Location 1 → Location 2, Day 2: Location 3."

[0177] Output: Navigation information provided

[0178] (Application example 1)

[0179] Next, a description will be given of Application Example 1. In the following description, the data processing device 12 will be referred to as a "server" and the smart device 14 will be referred to as a "terminal."

[0180] Conventional tourist route guidance systems simply generate and display the optimal route based on the places to visit and priorities entered by the user. However, when travelers actually visit tourist spots, they need a means of transportation that allows them to travel efficiently. Furthermore, without the ability to modify or adjust routes in real time, it is difficult to realize flexible travel plans, which can lead to many inconveniences. Therefore, there is a need for a system that allows travelers to easily change the optimal route and travel flexibly in conjunction with their means of transportation.

[0181] The specific processing by the specific processing unit 290 of the data processing device 12 in the application example 1 is realized by the following means.

[0182] In this invention, the server includes a means for inputting places that a traveler wants to visit and their priority, a means for transmitting the input information to the server, a means for calculating the distance and travel time between each visit point based on the information received by the server and generating an optimal tourist route taking priority into consideration, a means for transmitting and displaying the generated optimal route to the traveler's terminal, and a means for linking the generated optimal route with an autonomous transport vehicle to support the traveler's movement. This allows travelers to travel around tourist spots efficiently, and enables route adjustments in real time and linkage with transportation means.

[0183] "Tourists" are people who visit a particular region or place for the purpose of sightseeing or travel.

[0184] "Places to visit" are locations or destinations that travelers want to visit when sightseeing or traveling.

[0185] "Priority" refers to the relative importance of a place that a traveler wants to visit, indicating which of the places they want to visit first or which is more important.

[0186] A "server" is a type of computer system that receives, analyzes, and sends data over a network.

[0187] An "optimal tourist route" is a route that allows for efficient and effective sightseeing, calculated taking into account the priority, distance, and travel time of the places you want to visit.

[0188] A "terminal" is a device (such as a smartphone or tablet) that a user uses to input and receive information.

[0189] "Autonomous driving transport equipment" refers to a means of transportation equipped with self-driving technology (such as an autonomous vehicle or robotic transport device).

[0190] A "generative AI model" is an artificial intelligence technology that learns from large amounts of data and generates optimal output.

[0191] "Means for entering real-time corrections" means an interface or functionality that allows a user to instantly change routes or update information during a trip.

[0192] "Navigation" refers to a system that provides route guidance and directions to help users reach their destination efficiently.

[0193] This invention is a system that automatically calculates and provides optimal sightseeing routes based on the tourist's input of the places they want to visit and their priorities. This system utilizes the tourist's terminal and a server to improve the efficiency of travel planning.

[0194] System Configuration

[0195] The traveler's device is a smartphone, tablet, or the like, and provides an interface for the traveler to input the places they want to visit and their priorities.

[0196] The server receives the input information, analyzes the data, and performs calculations to calculate the optimal sightseeing route.

[0197] Autonomous transport equipment (autonomous vehicles and robotic transportation devices) will support travelers' movements based on generated optimal routes, enabling efficient tourism.

[0198] Program processing

[0199] 1. Traveler input

[0200] On the terminal, the traveler inputs the area of ​​the travel destination, the number of days of the trip, the places they want to visit, and their priority. For example, the travel destination is "City A," the number of days of the trip is "3 days," and the places they want to visit are set as "Point 1 (high priority)," "Point 2 (medium priority)," and "Point 3 (low priority)."

[0201] 2. Data transmission and analysis

[0202] The device sends the input information to the server, which analyzes the received data and calculates the distance and travel time between each destination.

[0203] 3. Generating the optimal route

[0204] The server generates an efficient sightseeing route by taking into account the priority of the visited points. For example, the route on the first day is "Point 1 → Point 2," and the route on the second day is "Point 3."

[0205] 4. Providing navigation

[0206] The generated optimal route is sent to the traveler's device and displayed, and the route is also linked to the autonomous transport vehicle to provide on-site navigation.

[0207] 5. Real-time corrections

[0208] If a traveler wants to modify the route during the trip, they input the modified information into the terminal and send it back to the server. The server then recalculates the optimal route based on the modified information and sends the new information to the terminal.

[0209] Hardware and Software

[0210] Device: Smartphone or tablet (e.g. iPhone, iPad, Android device)

[0211] Server: A computer system that receives, analyzes, and sends data over a network (e.g., an AWS EC2 instance).

[0212] Autonomous transport equipment: Self-driving cars and robotic transport devices

[0213] Examples and prompts

[0214] Example: When a user plans a three-day trip to "City A" (desired places to visit: Point 1, Point 2, Point 3), the server analyzes and generates the optimal route, presenting the route "Point 1 → Point 2" on the first day and "Point 3" on the second day. If the traveler wants to change the route order on the first day to "Point 2 → Point 1," the traveler can resend the correction information from the device, and the server will recalculate and present a new route.

[0215] Example prompts: "What area are you traveling to?" "Make a list of places you'd like to visit. Be sure to prioritize them."

[0216] In this way, it is possible to realize a system that calculates the optimal route in real time based on the information entered by travelers and supports efficient tourism by linking with self-driving cars.

[0217] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[0218] Step 1:

[0219] Users enter the places they want to visit and their priorities

[0220] Input: The user inputs the area of ​​the travel destination, the number of days of travel, the places they want to visit, and their priority on their device (smartphone or tablet).

[0221] Behavior: Provides an input form using a user interface, and also performs format checks and validation of input data to ensure there are no errors.

[0222] Output: User-entered data on places they want to visit, their priority, travel days, and travel area.

[0223] Step 2:

[0224] The device sends data to the server

[0225] Input: User-entered data on the area of ​​the destination, the number of days of travel, the places they want to visit and their priority.

[0226] How it works: The device sends this data to the server as an HTTP request, for example, using a REST API to send the data to the server in JSON format.

[0227] Output: The transmitted data is received by the server.

[0228] Step 3:

[0229] The server analyzes the data and generates the optimal sightseeing route.

[0230] Input: Data sent from the device about the area of ​​the travel destination, the number of days of travel, the places you want to visit and their priority.

[0231] How it works: The server analyzes the data and calculates the distance and travel time between each destination. The algorithm considers priorities and generates an efficient sightseeing route. It also calculates the optimal route using a network graph library.

[0232] Output: The generated optimal tourist route (e.g., "Point 1 → Point 2", "Point 3").

[0233] Step 4:

[0234] The generated optimal route is sent to the device and displayed.

[0235] Input: Data of optimal tourist routes generated on the server.

[0236] How it works: The server sends the generated route in JSON format to the device. The device receives it and provides an interface to display it. A map view and a list of places to visit are visually presented to the traveler.

[0237] Output: The optimal sightseeing route displayed on the device.

[0238] Step 5:

[0239] Linking with automated transport equipment to support mobility

[0240] Input: Data of the generated optimal tourist route.

[0241] Operation: The server or terminal passes the optimal route to the autonomous transport device. The autonomous transport device follows the instructed route, activates its autonomous driving system, and guides the traveler to the destination.

[0242] Output: Efficient on-site transportation using autonomous transport equipment.

[0243] Step 6:

[0244] User enters route correction information

[0245] Input: Data about the route the user wants to modify on the device or the new places they want to visit.

[0246] Operation: The terminal sends the correction information entered by the user back to the server. Correction comments and changes to priority are also made here.

[0247] Output: The correction information is sent to the server.

[0248] Step 7:

[0249] The server recalculates the optimal route based on the revised information

[0250] Input: Correction information sent from the terminal.

[0251] How it works: The server analyzes the corrections, recalculates distance and travel time, and generates a new, optimized route. It can also use generative AI models to provide a more accurate route.

[0252] Output: The newly generated optimal route.

[0253] Step 8:

[0254] Send the modified route to the device and display it.

[0255] Input: The modified optimal route data generated on the server.

[0256] How it works: The server sends this data to the device, which receives it and displays it to the user, and also provides an interface for updating the map display and the list of places to visit.

[0257] Output: The revised optimal sightseeing route displayed on the device.

[0258] In this way, a system will be built that provides optimal tourist routes based on traveler input data, allows for real-time adjustments during travel, and enables integration with autonomous transport vehicles.

[0259] Furthermore, an emotion engine that estimates the user's emotion may be combined. That is, the identification processing unit 290 may estimate the user's emotion using the emotion identification model 59 and perform identification processing using the user's emotion.

[0260] This invention combines a system that automatically calculates and provides optimal sightseeing routes by allowing travelers to input the places they want to visit and their priorities, with an emotion engine that recognizes the user's emotions. This system utilizes the travelers' terminals and a server to provide flexible travel plans based on their emotions.

[0261] First, the user inputs the area of ​​the travel destination and the number of days of the trip into the terminal. The user also lists the places they want to visit and their priority on the terminal, and sets the priority for each place. For example, a user can plan a "3-day" trip to "Tokyo" and set the places they want to visit as "Tokyo Tower (high priority), " "Sensoji Temple (medium priority)," and "Shinjuku Gyoen (low priority)."

[0262] Next, the device sends the input information (travel area, travel days, wish list, priority) to the server. In addition, the device sends the user's input information, voice, facial expression, etc. to the emotion engine so that the emotion engine can analyze the user's emotions. The emotion engine analyzes this data and understands the user's current emotional state.

[0263] The server analyzes the input travel information and emotion data from the emotion engine to generate an optimal sightseeing route. Specifically, the server calculates the distance and estimated travel time between each visit point, and generates an efficient and emotion-appropriate route for the traveler by taking into account the priority of the visit points and the user's emotional state. For example, if the server recognizes that the user is tired, it shortens the route for that day and adjusts it to prioritize relaxing tourist spots.

[0264] The generated optimal route is sent to the device and displayed to the user. The user can review the proposed route and make corrections as necessary. For example, if the user wants to change the route order on the first day to "Tokyo Tower → Sensoji Temple," the correction information is resent from the device to the server. The server recalculates the optimal route and sends the corrected route information back to the device.

[0265] Once the user has finalized the route, the device will save this optimized route and provide navigation when the trip begins. Navigation will help the user to visit tourist spots along the proposed route through map display and voice instructions.

[0266] As a concrete example, consider the case where a user plans a "3-day trip to Tokyo (places to visit: Tokyo Tower, Sensoji Temple, Shinjuku Gyoen National Garden)." The user sets priorities for each place, the emotion engine analyzes the user's state of fatigue and excitement, and based on that information, the server can generate the following optimal route:

[0267] Day 1: Sensoji Temple → Tokyo Tower

[0268] Day 2: Shinjuku Gyoen

[0269] If the user checks the proposed route and wants to change the order on the first day to "Tokyo Tower → Sensoji Temple," the device sends the revised information back to the server, and the server calculates a new optimal route based on the revised information.

[0270] By taking into account the user's emotional state with the emotion engine, travelers can plan their trip optimally according to their mood at that moment, resulting in a more satisfying travel experience. This system is a breakthrough that saves time and effort and provides flexible travel planning.

[0271] The processing flow will be explained below.

[0272] Step 1:

[0273] User: Enter the area of ​​the destination and the number of days of the trip into the device. For example, enter "Tokyo" and "3 days."

[0274] Step 2:

[0275] User: Lists the places they want to visit and their priorities on their device. For example:

[0276] Tokyo Tower (High Priority)

[0277] Sensoji Temple (Medium Priority)

[0278] Shinjuku Gyoen National Garden (Priority: Low)

[0279] Step 3:

[0280] Device: Sends user input information (travel area, travel days, bucket list, priority) to the server. At the same time, collects data (voice input, facial expressions, text input, etc.) necessary for the emotion engine to analyze the user's current emotions.

[0281] Step 4:

[0282] Emotion engine: Analyzes collected data to identify the user's emotional state, for example, determining whether the user is tired or excited based on their tone of voice and facial expression.

[0283] Step 5:

[0284] Terminal: Sends emotion data obtained from the emotion engine to the server.

[0285] Step 6:

[0286] Server: Analyzes travel information and emotion data received from the device and temporarily stores them.

[0287] Step 7:

[0288] Server: Calculates distances and estimated travel times between each destination, using map data and traffic information.

[0289] Step 8:

[0290] Server: Generates an optimal sightseeing route by taking into account the priority of the places to visit, distance, travel time, and the user's emotional state. For example, if the user is tired, the server will shorten the travel distance and prioritize sightseeing spots where they can relax.

[0291] Step 9:

[0292] Server: Sends the generated optimal route information to the terminal.

[0293] Step 10:

[0294] Terminal: Displays the received optimal route to the user, who can review the proposed route and enter corrections if necessary.

[0295] Step 11:

[0296] User: If the user wants to make corrections to the proposed optimal route, they input the correction information into the terminal. For example, they change the route order on the first day to "Tokyo Tower → Sensoji Temple."

[0297] Step 12:

[0298] Terminal: Send the corrected route information to the server again.

[0299] Step 13:

[0300] Server: Recalculates the optimal route based on the revised information and generates a revised route.

[0301] Step 14:

[0302] Server: Sends the recalculated optimal route to the device.

[0303] Step 15:

[0304] Terminal: The revised optimal route is displayed to the user, who then confirms and confirms the final route.

[0305] Step 16:

[0306] Device: Stores final confirmed route and provides real-time navigation at the start of a trip. Navigation is provided through map display and voice instructions.

[0307] By taking into account the user's emotional state, the emotion engine increases the flexibility of travel plans, allowing travelers to enjoy sightseeing plans that suit their mood at the time. This system saves travelers time and effort, and provides a more comfortable and satisfying travel experience.

[0308] Example 2

[0309] Next, a description will be given of Example 2. In the following description, the data processing device 12 will be referred to as a "server" and the smart device 14 will be referred to as a "terminal."

[0310] Conventional travel planning systems were able to optimize sightseeing routes based on a traveler's desired destinations and priorities, but they did not adjust routes taking into account the traveler's emotional state. This made it difficult to provide flexible travel plans that reflected the traveler's emotional and physical state, which could result in a decline in the quality of the trip. The present invention aims to solve this problem by providing a system that provides optimal sightseeing routes based on the traveler's emotional state.

[0311] The specification process by the specification processing unit 290 of the data processing device 12 in the second embodiment is realized by the following means. In this invention, the server includes a means for inputting the places that the traveler wants to visit and their priority, a means for transmitting the input data and the traveler's emotional data to the server, a means for calculating the distance and travel time between each visit point based on the data and emotional data received by the server and generating an optimal sightseeing route taking into account the priority and the traveler's emotional state, and a means for transmitting the generated optimal route to the traveler's terminal and displaying it. This makes it possible to provide a flexible travel plan that reflects the traveler's emotional state.

[0312] A "traveler" is a person who intends to visit a tourist spot or destination, and is a user of this system.

[0313] "Destinations" are geographical locations or tourist attractions that a traveler wishes to visit during their trip.

[0314] "Priority" is an index of the importance that a traveler assigns to a place they wish to visit, and indicates the order in which they would like to visit.

[0315] "Data" means any electronic form of information, including information entered by a traveler and information for analysis by the emotion engine.

[0316] "Emotion data" refers to information about the emotional state of a traveler analyzed by the emotion engine based on the traveler's voice data, facial expression data, and other physiological indicators.

[0317] "Server" is a computer system that receives and analyzes data and generates optimal tourist routes.

[0318] An "optimal tourist route" is a series of visit sequences that optimizes travel efficiency and traveler comfort, taking into account the places a tourist wants to visit, their priorities, and their emotional state.

[0319] "Terminal" refers to an electronic device, such as a smartphone or tablet, that a traveler uses to input information.

[0320] "Navigation" is a function that provides the traveler with the necessary directions and directions to reach the destination by following the generated tourist route.

[0321] This invention combines a system that automatically calculates and provides optimal sightseeing routes based on the traveler's input of the places they want to visit and their priorities with an emotion engine that recognizes the traveler's emotions. The system aims to provide flexible travel plans based on the traveler's emotions using the traveler's terminal and server.

[0322] First, the user inputs the destination area and number of days of travel into the device. The user also lists the places they want to visit and their priority on the device, and sets the priority for each place. For example, a user can plan a "3-day" trip to "Tokyo" and set the places they want to visit as "Tower (high priority)," "Temple (medium priority)," and "Park (low priority)."

[0323] Next, the device sends the input information (travel area, travel days, wish list, priority) to the server. In addition, the device sends the user's input information, voice, facial expression, etc. to the emotion engine so that the emotion engine can analyze the user's emotions. The emotion engine analyzes this data and understands the user's current emotional state.

[0324] The server analyzes the input travel information and emotion data from the emotion engine to generate an optimal sightseeing route. Specifically, the server calculates the distance and estimated travel time between each visit point, and generates an efficient and emotion-appropriate route for the traveler by taking into account the priority of the visit points and the user's emotional state. For example, if the emotion engine recognizes that the user is tired, it shortens the route for that day and prioritizes tourist spots where people can relax.

[0325] The generated optimal route is sent to the device and displayed to the user. The user can review the proposed route and make corrections if necessary. For example, if the user wants to change the route order on the first day to "Tower → Temple," the device resends the correction information to the server. The server then recalculates the optimal route and sends the corrected route information back to the device.

[0326] Once the user has finalized the route, the device will save this optimized route and provide navigation when the trip begins. Navigation will help the user to visit tourist spots along the proposed route through map display and voice instructions.

[0327] As a concrete example, consider the case where a user plans a "3-day trip to Tokyo (places to visit: towers, temples, parks)." The user sets priorities for each place, the emotion engine analyzes the user's fatigue and excitement levels, and based on that information, the server can generate the following optimal route:

[0328] Day 1: Temple → Tower

[0329] Day 2: The Park

[0330] If the user checks the proposed route and wants to change the order on the first day to "Tower → Temple," the device sends the revised information back to the server, and the server calculates a new optimal route based on the revised information.

[0331] By taking into account the user's emotional state with the emotion engine, travelers can plan their trip optimally according to their mood at that moment, resulting in a more satisfying travel experience. This system is a breakthrough that saves time and effort and provides flexible travel planning.

[0332] Example prompt sentence:

[0333] Example of travel plan input:

[0334] Travel destination area: Tokyo

[0335] Travel duration: 3 days

[0336] Places I want to visit: Tower (high priority), Temple (medium priority), Park (low priority)

[0337] Example of optimal route:

[0338] The suggested route is as follows:

[0339] Day 1: Temple → Tower

[0340] Day 2: The Park

[0341] The flow of the identification process in the second embodiment will be described with reference to FIG.

[0342] Step 1:

[0343] The user inputs travel plan information into the terminal. The user inputs the travel destination area, the number of days of travel, and the places they want to visit and their priority. The input information includes, for example, "Tokyo," "3 days," "Tower (high priority)," "Temple (medium priority)," and "Park (low priority)." The input data format is text.

[0344] Step 2:

[0345] The device sends the user's input information to the server. Specifically, the device sends the following data to the cloud-based server: "Travel destination area: Tokyo," "Travel duration: 3 days," "Places to visit: Tower, temple, park," and "Priority of each place: Tower (high), temple (medium), park (low)." The input is in text format, and the output is the data sent to the server.

[0346] Step 3:

[0347] The device sends the user's voice data and facial expression data to the emotion engine. When the user inputs their travel plans, the device uses a microphone and camera to collect voice and facial expression data. This data is sent to the emotion engine and processed as input.

[0348] Step 4:

[0349] The emotion engine analyzes the user's emotional state. The emotion engine analyzes the received voice data and facial expression data to identify the user's emotional state (e.g., tired, excited). This analysis is performed using machine learning algorithms. The input is voice and facial expression data, and the output is text data representing the user's emotional state.

[0350] Step 5:

[0351] The server calculates the optimal route for the travel plan. The server receives travel information (destination area, travel days, desired places to visit and their priority) and emotion data received from the emotion engine as input, and calculates the distance and travel time between each visit point based on this. Furthermore, it generates the optimal sightseeing route taking into account the priority of the visit points and the user's emotional state. For example, if the user is tired, the server will prioritize routes with shorter distances and places where they can relax. The input is travel information and emotion data, and the output is text data of the optimal sightseeing route.

[0352] Step 6:

[0353] The server sends the optimal route to the terminal. The server then sends the calculated optimal route in text data format to the terminal. For example, route information such as "Day 1: Temple → Tower" and "Day 2: Park" is sent to the terminal. The input is the text data of the optimal route, and the output is the data sent to the terminal.

[0354] Step 7:

[0355] The user checks the optimal route and inputs any necessary corrections into the terminal. For example, if the user wants to change the route order, they input "Change route order for day 1: Tower → Temple" into the terminal as input data. The input is the user's correction information, and the output is the corrected route information displayed on the terminal.

[0356] Step 8:

[0357] The terminal resends the corrected information to the server. The terminal sends the corrected information entered by the user to the server, and the server recalculates the optimal route. The input is the user's corrected information, and the output is the data sent to the server.

[0358] Step 9:

[0359] The server recalculates the revised optimal route and sends it to the terminal. The server recalculates the optimal route based on the revised information and sends the revised route to the terminal in text data format. The input is the revised information and the output is the revised optimal route.

[0360] Step 10:

[0361] The user finalizes the route. The device saves the final route information and provides navigation at the start of the trip. The navigation includes map display and voice instructions to help the user navigate the tourist spots along the proposed route. The input is the finalized route information, and the output is the saved navigation data.

[0362] (Application example 2)

[0363] Next, a description will be given of Application Example 2. In the following description, the data processing device 12 will be referred to as a "server" and the smart device 14 will be referred to as a "terminal."

[0364] Conventional tourist route generation systems calculate routes based on a user's desired places to visit and their priorities. However, these systems lack the ability to flexibly adjust routes based on the user's emotions and physical condition, which hinders traveler satisfaction. In particular, autonomous vehicles require real-time adjustments based on the traveler's emotions to ensure both comfort and efficiency during travel. Therefore, it is crucial to provide a system that can flexibly plan trips while taking into account the user's emotional state.

[0365] The specific processing by the specific processing unit 290 of the data processing device 12 in the application example 2 is realized by the following means.

[0366] In this invention, the server includes: means for inputting places that a traveler wants to visit and their priority; means for transmitting the input information to the server; means for calculating the distance and travel time between each of the visit points based on the information received by the server and generating an optimal sightseeing route taking priority into consideration; an emotion recognition engine and calculation means for analyzing the user's emotion data based on the generated optimal route; means for flexibly adjusting the route taking into consideration the analysis results of the emotion recognition engine; and means for transmitting the generated optimal route to the traveler's terminal and displaying it. This enables travel planning that takes into consideration the user's emotional state and fatigue level, thereby increasing traveler satisfaction.

[0367] A "traveler's device" is a device capable of inputting and displaying information, such as a traveler's smartphone or personal digital assistant, or the infotainment system in an autonomous vehicle.

[0368] "Priority" refers to the importance or priority that a traveler assigns to a place they want to visit.

[0369] "Server" refers to a computer system that receives and processes data sent from travelers' terminals over a network.

[0370] An "emotion recognition engine" is software or hardware that analyzes a user's tone of voice, facial expressions, etc. to identify their current emotional state.

[0371] The "optimal tourist route" is the most efficient and comfortable travel route for the traveler, taking into consideration the desired places and priorities entered by the traveler, travel time, distance, and even the user's emotional data.

[0372] "Means for flexible adjustment" refers to technologies and methods that dynamically change the set tourist route in response to changes in the user's emotions and physical condition, and always provide the optimal route for the traveler.

[0373] "Navigation" means a system or function that provides directions, guidance, and map displays to a traveler to reach a destination along a selected travel route.

[0374] The system based on this invention allows a traveler to input the places they want to visit and their priority, and automatically generates an optimal sightseeing route that takes emotion data into consideration. The user's terminal is a device such as a smartphone or an infotainment system in an autonomous vehicle. Using this terminal, the user can input the places they want to visit and their priority. The terminal has a means for transmitting the input information to a server.

[0375] Based on the input information (desired places to visit, priority, number of travel days, etc.), the server calculates the distance and travel time between each visit point and generates an optimal sightseeing route taking priority into consideration. In this process, the server uses an emotion recognition engine to analyze the user's emotional data and identify the user's current emotional state from their voice and facial expression. Specifically, voice recognition software and facial expression analysis software function as the emotion engine to analyze the user's level of fatigue, excitement, etc.

[0376] Furthermore, the server has the means to flexibly adjust the generated sightseeing route, taking into account the analysis results of the emotion recognition engine. For example, if the user is tired or stressed, the server can shorten the route for that day or prioritize sightseeing spots where the user can relax. The adjusted optimal route is then sent back from the server to the user's device and displayed on the device.

[0377] The navigation system provides directions to help travelers reach their destinations based on local tourist routes, and is reflected in map displays, voice guidance, and even the routes of autonomous vehicles.

[0378] As a specific example, if a user wishes to visit "Tokyo Tower," "Sensoji Temple," and "Shinjuku Gyoen," and the emotion engine determines after input that the user is "tired," the route for the first day will be "Tokyo Tower → Sensoji Temple," and on the second day, a route to visit "Shinjuku Gyoen" will be automatically generated. The user can check this route within the application and change it as necessary.

[0379] An example of a prompt for a generative AI model is:

[0380] The user inputs the travel destination and sets its priority. Then, the user's voice and facial expressions are acquired, and the emotion data is analyzed using the emotion engine. Based on the results, the travel route is calculated.

[0381] In this way, the system can provide flexible travel plans that take into account the user's emotional state, thereby increasing traveler satisfaction.

[0382] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[0383] Step 1:

[0384] The user uses a smartphone or infotainment system to input the places they want to visit and their priority. The user also inputs the travel area and number of days, and this data is saved on the device. The input data includes a list of places they want to visit, their priority, and the number of days they want to travel.

[0385] input:

[0386] A list of places you would like to visit (e.g. Tokyo Tower, Sensoji Temple, Shinjuku Gyoen National Garden)

[0387] Priority (e.g. high, medium, low)

[0388] Travel days

[0389] output:

[0390] Data on desired destinations, priorities, and travel dates stored on your device

[0391] Step 2:

[0392] The device sends the user's input information to the server. Specifically, it is transferred to the server as JSON format data. The server receives this input information and stores it in a database.

[0393] input:

[0394] Input data sent from the terminal

[0395] output:

[0396] Input data stored on the server

[0397] Step 3:

[0398] The server activates an emotion recognition engine to capture and analyze the user's voice and facial expressions. The emotion recognition engine uses voice recognition software and facial expression analysis software to identify the user's emotional state.

[0399] input:

[0400] User voice data

[0401] User's facial expression data

[0402] output:

[0403] User emotional state data (e.g., tired, excited)

[0404] Step 4:

[0405] Based on the received input information and emotional state data, the server calculates the distance and travel time between each visit point, and generates an optimal sightseeing route taking into account the priority and emotional state. A route generation algorithm is used here.

[0406] input:

[0407] List of places you want to visit

[0408] priority

[0409] Travel days

[0410] Emotional state data

[0411] output:

[0412] Optimal tourist route data

[0413] Step 5:

[0414] The server sends the generated optimal sightseeing route to the user's device, which displays it. The user can check the proposed route and input corrections if necessary. The device then sends the corrected information back to the server.

[0415] input:

[0416] Optimal tourist route data

[0417] output:

[0418] The best sightseeing route displayed on your device

[0419] Corrected route data (if necessary)

[0420] Step 6:

[0421] The server recalculates the optimal route based on the revised information and sends the optimized route to the traveler's device, possibly using the emotion recognition engine again.

[0422] input:

[0423] Corrected route data

[0424] Emotional state data (if required)

[0425] output:

[0426] Re-optimized tourist route data

[0427] Step 7:

[0428] Finally, once the user has finalized the route, the device will save this optimized route and provide navigation when the trip begins. The navigation system will provide real-time map display and voice guidance on the spot.

[0429] input:

[0430] Final tourist route data

[0431] output:

[0432] Local navigation instructions

[0433] Map display

[0434] Audio guidance

[0435] 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 a user input regarding the result of the specific processing. The control unit 46A transmits audio data indicating the 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.

[0436] The data generation model 58 is a so-called generative AI (Artificial Intelligence). An example of the data generation model 58 is ChatGPT (Internet Search<URL: https: / / openai.com / blog / chatgpt> ), Gemini (Internet search <url: https: gemini.google.com ?hl="ja">) and other generation AIs. The data generation model 58 is obtained by performing deep learning on a neural network. A prompt including an instruction is input to the data generation model 58, and inference data such as voice data indicating voice, text data indicating text, and image data indicating an image is also input. The data generation model 58 performs inference on the input inference data in accordance with the instruction indicated by the prompt, and outputs the inference result in a data format such as voice data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization.

[0437] In the above embodiment, an example in which the specific process is performed by the data processing device 12 has been given, but the technology of the present disclosure is not limited to this, and the specific process may be performed by the smart device 14.

[0438] [Second embodiment]

[0439] FIG. 3 shows an example of the configuration of a data processing system 210 according to the second embodiment.

[0440] 3, the data processing system 210 includes the data processing device 12 and smart glasses 214. An example of the data processing device 12 is a server.

[0441] The data processing device 12 includes a computer 22, a database 24, and a communication I / F 26. The computer 22 is an example of a "computer" according to the technology of the present disclosure. The computer 22 includes a processor 28, a RAM 30, and a storage 32. The processor 28, the RAM 30, and the storage 32 are connected to a bus 34. The database 24 and the communication I / F 26 are also connected to the bus 34. The communication I / F 26 is connected to a network 54. Examples of the network 54 include a WAN (Wide Area Network) and / or a LAN (Local Area Network).

[0442] The smart glasses 214 include a computer 36, a microphone 238, a speaker 240, a camera 42, and a communication I / F 44. The computer 36 includes a processor 46, a RAM 48, and a storage 50. The processor 46, the RAM 48, and the storage 50 are connected to a bus 52. The microphone 238, the speaker 240, and the camera 42 are also connected to the bus 52.

[0443] The microphone 238 receives instructions and the like from the user 20 by receiving voice uttered by the user 20. The microphone 238 captures the voice uttered by the user 20, converts the captured voice into audio data, and outputs it to the processor 46. The speaker 240 outputs audio in accordance with instructions from the processor 46.

[0444] Camera 42 is a small digital camera equipped with an optical system including a lens, aperture, and shutter, and an imaging element such as a CMOS (Complementary Metal-Oxide-Semiconductor) image sensor or a CCD (Charge Coupled Device) image sensor, and captures images of the surroundings of user 20 (for example, an imaging range defined by an angle of view equivalent to the field of vision of a typical healthy person).

[0445] The communication I / F 44 is connected to a network 54. The communication I / Fs 44 and 26 are responsible for the exchange of various information between the processor 46 and the processor 28 via the network 54. The exchange of various information between the processor 46 and the processor 28 using the communication I / Fs 44 and 26 is carried out in a secure state.

[0446] Fig. 4 shows an example of the main functions of the data processing device 12 and the smart glasses 214. As shown in Fig. 4, in the data processing device 12, a specific process is performed by the processor 28. A specific process program 56 is stored in the storage 32.

[0447] The specific processing program 56 is an example of a "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 the processor 28 operating as a specific processing unit 290 in accordance with the specific processing program 56 executed on the RAM 30.

[0448] 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 identification processing unit 290.

[0449] In the smart glasses 214, the reception output process is performed by the processor 46. A reception output program 60 is stored in the storage 50. 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 process is realized by the processor 46 operating as the control unit 46A in accordance with the reception output program 60 executed on the RAM 48.

[0450] Next, a description will be given of the identification process performed by the identification processing unit 290 of the data processing device 12. 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."

[0451] This invention is a system that automatically calculates and provides optimal sightseeing routes based on the tourist's input of the places they want to visit and their priorities. This system utilizes the tourist's terminal and a server to improve the efficiency of travel planning.

[0452] First, the user inputs the area of ​​the travel destination and the number of days of the trip into the terminal. The user also lists the places they want to visit and their priority on the terminal, and sets the priority for each place. For example, a user can plan a "3-day" trip to "Tokyo" and set the places they want to visit as "Tokyo Tower (high priority), " "Sensoji Temple (medium priority)," and "Shinjuku Gyoen (low priority)."

[0453] Next, the device sends the input information (travel area, number of travel days, list of places to visit, priority) to the server. The server analyzes the received data and calculates the optimal sightseeing route. Specifically, the server calculates the distance and estimated travel time between each visit point, and generates an efficient route for the traveler, taking into account the priority of the visit points. For example, based on the user's input, the route for the first day could be "Sensoji Temple → Tokyo Tower" and for the second day, "Shinjuku Gyoen National Garden."

[0454] The optimal route generated by the server is sent to the device and displayed to the user. The user can review the proposed route and make corrections as necessary. For example, if the user wants to change the route order on the first day to "Tokyo Tower → Sensoji Temple," the correction information is resent from the device to the server. The server then recalculates the optimal route and sends the corrected route information back to the device.

[0455] Once the user has finalized the route, the device will save this optimized route and provide navigation when the trip begins. Navigation will help the user to visit tourist spots along the proposed route through map display and voice instructions.

[0456] As a concrete example, consider the case where a user plans a three-day trip to Tokyo (places to visit: Tokyo Tower, Sensoji Temple, Shinjuku Gyoen National Garden). The user sets priorities for each place and sends that information from the device to the server, which then generates the following optimal route based on the priorities:

[0457] Day 1: Sensoji Temple → Tokyo Tower

[0458] Day 2: Shinjuku Gyoen

[0459] If the user checks the proposed route and wants to change the order on the first day to "Tokyo Tower → Sensoji Temple," the device sends the revised information back to the server, and the server calculates a new optimal route based on the revised information.

[0460] This system allows travelers to use their time efficiently and effectively visit the tourist spots they want to visit. Furthermore, users can adjust their routes as needed during their trip, allowing for flexible travel plans.

[0461] The processing flow will be explained below.

[0462] Step 1:

[0463] User: Enter the area of ​​the destination and the number of days of the trip into the device. For example, enter "Tokyo" and "3 days."

[0464] Step 2:

[0465] User: Lists the places they want to visit and their priorities on their device. For example:

[0466] Tokyo Tower (High Priority)

[0467] Sensoji Temple (Medium Priority)

[0468] Shinjuku Gyoen National Garden (Priority: Low)

[0469] Step 3:

[0470] Terminal: Sends the entered travel area, number of travel days, list of places you want to visit, and priority to the server.

[0471] Step 4:

[0472] Server: Analyzes the received information and temporarily stores data based on the traveler's preferences.

[0473] Step 5:

[0474] Server: Calculates distances and estimated travel times between each destination, using map data and traffic information.

[0475] Step 6:

[0476] Server: Generates the optimal sightseeing route by taking into account the priority, distance, and travel time of the places to visit. For example, the route on the first day might be "Sensoji Temple → Tokyo Tower."

[0477] Step 7:

[0478] Server: Sends the generated optimal route information to the terminal.

[0479] Step 8:

[0480] Terminal: Displays the received optimal route to the user. The user confirms the proposed route.

[0481] Step 9:

[0482] User: If you want to make any changes to the proposed optimal route, enter the changes into the device. For example, change the order on the first day to "Tokyo Tower → Sensoji Temple."

[0483] Step 10:

[0484] Terminal: Send the corrected route information to the server again.

[0485] Step 11:

[0486] Server: Recalculate the optimal route based on the revised information and generate a revised route.

[0487] Step 12:

[0488] Server: Sends the recalculated optimal route to the device.

[0489] Step 13:

[0490] Terminal: The revised optimal route is displayed to the user, who then confirms and confirms the final route.

[0491] Step 14:

[0492] Device: Saves final confirmed route and provides real-time navigation at the start of a trip. Navigation is provided through map display and voice instructions.

[0493] Processing is carried out at each step in this way, providing travelers with the optimal sightseeing route tailored to their needs and enabling efficient travel planning.

[0494] Example 1

[0495] Next, a description will be given of Example 1. In the following description, the data processing device 12 will be referred to as a "server" and the smart glasses 214 will be referred to as a "terminal."

[0496] Conventional travel planning systems require travelers to manually determine the places they want to visit and their priorities, and then manually plan the optimal sightseeing route, which requires a lot of time and effort. Another problem is that it is difficult to change routes, making it difficult to create flexible travel plans. The present invention aims to solve these problems and provide a system that allows travelers to efficiently create and flexibly change travel plans.

[0497] The specific processing by the specific processing unit 290 of the data processing device 12 in the first embodiment is realized by the following means.

[0498] In this invention, the server includes a device for inputting the places a traveler wants to visit and their priority, a device for transmitting the input information to an information processing device, a device for calculating the distance and travel time between each visit point based on the information received by the information processing device and generating an optimal sightseeing route taking the priority into consideration, a device for transmitting the generated optimal route to the traveler's display device and displaying it, and a device for providing navigation based on the optimal route saved at the start of the trip. This allows travelers to plan their trip efficiently and effectively and makes it easy to modify the route in real time.

[0499] A "tourist" is someone who visits a particular place for tourism, business, or other purposes.

[0500] "Places to visit" refers to locations that travelers wish to visit for sightseeing or sightseeing.

[0501] "Priority" refers to a criterion that indicates the importance or urgency of a destination that a traveler wishes to visit.

[0502] "Device" refers to a hardware or software component designed to perform a specific function.

[0503] "Information processing device" refers to a computer or server that receives, analyzes, calculates, and generates results from data.

[0504] "Display device" refers to a device that visually displays data transmitted from an information processing device. Examples include the screens of smartphones, tablets, and PCs.

[0505] "Navigation" refers to the function of providing travelers with the direction and location information they need to travel along a specific route.

[0506] "Distance" refers to the physical distance between two visit points.

[0507] "Travel Time" refers to the estimated time it takes to travel between two destinations.

[0508] A "route" refers to an optimized path for visiting multiple destinations in sequence.

[0509] This invention is a system that automatically calculates and provides optimal sightseeing routes based on the traveler's input of the places they want to visit and their priorities. This system utilizes the traveler's terminal and an information processing device (server) to improve the efficiency of travel planning.

[0510] First, the user inputs the area of ​​the travel destination and the number of days of the trip into the terminal. The user also lists the places they want to visit and their priorities on the terminal, and sets the priority for each place. For example, if the user plans a "3-day" trip to "City A," they can set the places they want to visit as "Location 1 (high priority)," "Location 2 (medium priority)," and "Location 3 (low priority)."

[0511] Next, the device sends the input information (travel area, number of travel days, list of places to visit, priority) to the server. The server analyzes the received data and calculates the optimal sightseeing route. Specifically, the server calculates the distance and estimated travel time between each visit point, and generates an efficient route for the traveler taking into account the priority of the visit points. To do this, the server obtains the distance and travel time using the Google Maps API and uses an optimization algorithm such as Dijkstra's Algorithm. For example, based on the user's input, the route for the first day could be "Location 2 → Location 1," and for the second day, "Location 3."

[0512] The optimal route generated by the server is sent to the device and displayed to the user. The user can review the proposed route and make corrections as necessary. For example, if the user wants to change the route order on the first day to "Location 1 → Location 2," the correction information is resent from the device to the server. The server then recalculates the optimal route and sends the corrected route information back to the device.

[0513] Finally, once the user has finalized the route, the device will save this optimized route and provide navigation when the trip begins, helping the user to visit the tourist spots along the proposed route through map display and voice instructions.

[0514] As a concrete example, consider the case where a user plans a three-day trip to City A (places to visit: Place 1, Place 2, Place 3). The user sets a priority for each place and sends that information from the device to the server. The server then generates the following optimal route based on the priority:

[0515] Day 1: Location 2 → Location 1

[0516] Day 2: Location 3

[0517] If the user checks the proposed route and decides to change the order of the first day from "Location 1 → Location 2," the device sends the revised information back to the server, which then calculates a new optimal route based on the revised information. This system allows travelers to use their time efficiently and effectively visit the tourist spots they want to visit. Furthermore, users can adjust the route as needed during their trip, allowing for flexible travel planning.

[0518] Example prompt sentence:

[0519] Enter the area you want to travel to and the number of days you want to travel. Then, list the places you want to visit and their priority. For example, enter "3 days in City A, Location 1 (high), Location 2 (medium), Location 3 (low)."

[0520] The flow of the identification process in the first embodiment will be described with reference to FIG.

[0521] Step 1:

[0522] User actions

[0523] Enter the area of ​​your destination and the number of days you wish to travel into the terminal.

[0524] Input: Destination area (e.g., "City A"), number of days (e.g., "3 days")

[0525] Specific operation: The user enters "City A" and "3 days" into the input fields of the terminal and clicks the "Next" button.

[0526] Output: Travel destination area and travel days data entered into the device

[0527] Step 2:

[0528] User actions

[0529] Set the places you want to visit and their priorities on your device.

[0530] Input: Locations you want to visit (e.g. "Location 1, Location 2, Location 3"), Priority (e.g. "High, Medium, Low")

[0531] Specific operation: The user enters "Location 1," "Location 2," and "Location 3" and their priorities "High," "Medium," and "Low" into the input fields on the device and clicks the "Add" button.

[0532] Output: A list of locations and priorities entered on the device

[0533] Step 3:

[0534] Processing performed by the device

[0535] The entered information (travel area, number of travel days, list of places to visit, priority) is sent to the server.

[0536] Input: Travel area, travel days, visit list, priority data entered on the device

[0537] Specific operation: The device compiles this data into JSON format and sends it to the server as a POST request.

[0538] Output: Trip information data sent to the server

[0539] Step 4:

[0540] Processing performed by the server

[0541] The received data is analyzed and the information in each field is extracted.

[0542] Input: JSON format travel information data received from the terminal

[0543] Specific operation: The server analyzes the data for "City A," "3 days," "Location 1 (high)," "Location 2 (medium)," and "Location 3 (low)," and stores it in each field.

[0544] Output: Analyzed travel area, travel days, list of places visited, priority data

[0545] Step 5:

[0546] Processing performed by the server

[0547] Calculates the distance and travel time between each visit point and generates the optimal tourist route taking priorities into account.

[0548] Input: Parsed destination list and priority data

[0549] Data processing / calculation: Using Google Maps API to obtain distances and travel times between each destination, and calculating the optimal route using Dijkstra's Algorithm

[0550] What it does: The server sends a request to the Google Maps API, gets distance and time information, and calculates the route using an optimization algorithm.

[0551] Output: Data on optimal tourist routes

[0552] Step 6:

[0553] Processing performed by the server

[0554] The calculated optimal route data is returned to the terminal.

[0555] Input: Data on optimal tourist routes

[0556] Specific operation: The server repackages this data in JSON format and sends it to the terminal as a POST request.

[0557] Output: Optimal route data sent to the device

[0558] Step 7:

[0559] Processing performed by the device

[0560] Analyzes the route data received from the server and displays it to the user.

[0561] Input: JSON data of the optimal route received from the server

[0562] Specific operation: The device displays "Day 1: Location 2 → Location 1, Day 2: Location 3" and the user confirms the content.

[0563] Output: Optimal route displayed to the user

[0564] Step 8:

[0565] User actions

[0566] Corrections to the optimum route are entered and the corrected information is retransmitted from the terminal to the server.

[0567] Input: Revised route information (e.g., change "Day 1: Location 1 → Location 2")

[0568] Specific operation: The user enters the correction information on the terminal, clicks the "Resend" button, and the terminal sends the corrected data to the server.

[0569] Output: Corrected data sent to the server

[0570] Step 9:

[0571] Processing performed by the server

[0572] The optimal route is recalculated based on the revised information, and the new route is sent to the terminal.

[0573] Input: Corrected route information

[0574] Data processing / calculation: Again, we use the Google Maps API to calculate a new route based on the revised route (using Dijkstra's Algorithm).

[0575] Specific operation: The server analyzes the correction information, calculates a new route, and sends it to the device.

[0576] Output: Recalculated optimal route data

[0577] Step 10:

[0578] User actions

[0579] After checking the route, confirm the route and save it to your device.

[0580] Input: Final route information

[0581] Specific operation: The user clicks the "Confirm" button and the device saves the final route.

[0582] Output: Final route saved on the device

[0583] Step 11:

[0584] Processing performed by the device

[0585] When starting a trip, it provides navigation based on saved routes.

[0586] Input: Saved last route information

[0587] Specific operation: The device navigates through map display and voice instructions, such as "Day 1: Location 1 → Location 2, Day 2: Location 3."

[0588] Output: Navigation information provided

[0589] (Application example 1)

[0590] Next, a description will be given of Application Example 1. In the following description, the data processing device 12 will be referred to as a "server" and the smart glasses 214 will be referred to as a "terminal."

[0591] Conventional tourist route guidance systems simply generate and display the optimal route based on the places to visit and priorities entered by the user. However, when travelers actually visit tourist spots, they need a means of transportation that allows them to travel efficiently. Furthermore, without the ability to modify or adjust routes in real time, it is difficult to realize flexible travel plans, which can lead to many inconveniences. Therefore, there is a need for a system that allows travelers to easily change the optimal route and travel flexibly in conjunction with their means of transportation.

[0592] The specific processing by the specific processing unit 290 of the data processing device 12 in the application example 1 is realized by the following means.

[0593] In this invention, the server includes a means for inputting places that a traveler wants to visit and their priority, a means for transmitting the input information to the server, a means for calculating the distance and travel time between each visit point based on the information received by the server and generating an optimal tourist route taking priority into consideration, a means for transmitting and displaying the generated optimal route to the traveler's terminal, and a means for linking the generated optimal route with an autonomous transport vehicle to support the traveler's movement. This allows travelers to travel around tourist spots efficiently, and enables route adjustments in real time and linkage with transportation means.

[0594] "Tourists" are people who visit a particular region or place for the purpose of sightseeing or travel.

[0595] "Places to visit" are locations or destinations that travelers want to visit when sightseeing or traveling.

[0596] "Priority" refers to the relative importance of a place that a traveler wants to visit, indicating which of the places they want to visit first or which is more important.

[0597] A "server" is a type of computer system that receives, analyzes, and sends data over a network.

[0598] An "optimal tourist route" is a route that allows for efficient and effective sightseeing, calculated taking into account the priority, distance, and travel time of the places you want to visit.

[0599] A "terminal" is a device (such as a smartphone or tablet) that a user uses to input and receive information.

[0600] "Autonomous driving transport equipment" refers to a means of transportation equipped with self-driving technology (such as an autonomous vehicle or robotic transport device).

[0601] A "generative AI model" is an artificial intelligence technology that learns from large amounts of data and generates optimal output.

[0602] "Means for entering real-time corrections" means an interface or functionality that allows a user to instantly change routes or update information during a trip.

[0603] "Navigation" refers to a system that provides route guidance and directions to help users reach their destination efficiently.

[0604] This invention is a system that automatically calculates and provides optimal sightseeing routes based on the tourist's input of the places they want to visit and their priorities. This system utilizes the tourist's terminal and a server to improve the efficiency of travel planning.

[0605] System Configuration

[0606] The traveler's device is a smartphone, tablet, or the like, and provides an interface for the traveler to input the places they want to visit and their priorities.

[0607] The server receives the input information, analyzes the data, and performs calculations to calculate the optimal sightseeing route.

[0608] Autonomous transport equipment (autonomous vehicles and robotic transportation devices) will support travelers' movements based on generated optimal routes, enabling efficient tourism.

[0609] Program processing

[0610] 1. Traveler input

[0611] On the terminal, the traveler inputs the area of ​​the travel destination, the number of days of the trip, the places they want to visit, and their priority. For example, the travel destination is "City A," the number of days of the trip is "3 days," and the places they want to visit are set as "Point 1 (high priority)," "Point 2 (medium priority)," and "Point 3 (low priority)."

[0612] 2. Data transmission and analysis

[0613] The device sends the input information to the server, which analyzes the received data and calculates the distance and travel time between each destination.

[0614] 3. Generating the optimal route

[0615] The server generates an efficient sightseeing route by taking into account the priority of the visited points. For example, the route on the first day is "Point 1 → Point 2," and the route on the second day is "Point 3."

[0616] 4. Providing navigation

[0617] The generated optimal route is sent to the traveler's device and displayed, and the route is also linked to the autonomous transport vehicle to provide on-site navigation.

[0618] 5. Real-time corrections

[0619] If a traveler wants to modify the route during the trip, they input the modified information into the terminal and send it back to the server. The server then recalculates the optimal route based on the modified information and sends the new information to the terminal.

[0620] Hardware and Software

[0621] Device: Smartphone or tablet (e.g. iPhone, iPad, Android device)

[0622] Server: A computer system that receives, analyzes, and sends data over a network (e.g., an AWS EC2 instance).

[0623] Autonomous transport equipment: Self-driving cars and robotic transport devices

[0624] Examples and prompts

[0625] Example: When a user plans a three-day trip to "City A" (desired places to visit: Point 1, Point 2, Point 3), the server analyzes and generates the optimal route, presenting the route "Point 1 → Point 2" on the first day and "Point 3" on the second day. If the traveler wants to change the route order on the first day to "Point 2 → Point 1," the traveler can resend the correction information from the device, and the server will recalculate and present a new route.

[0626] Example prompts: "What area are you traveling to?" "Make a list of places you'd like to visit. Be sure to prioritize them."

[0627] In this way, it is possible to realize a system that calculates the optimal route in real time based on the information entered by travelers and supports efficient tourism by linking with self-driving cars.

[0628] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[0629] Step 1:

[0630] Users enter the places they want to visit and their priorities

[0631] Input: The user inputs the area of ​​the travel destination, the number of days of travel, the places they want to visit, and their priority on their device (smartphone or tablet).

[0632] Behavior: Provides an input form using a user interface, and also performs format checks and validation of input data to ensure there are no errors.

[0633] Output: User-entered data on places they want to visit, their priority, travel days, and travel area.

[0634] Step 2:

[0635] The device sends data to the server

[0636] Input: User-entered data on the area of ​​the destination, the number of days of travel, the places they want to visit and their priority.

[0637] How it works: The device sends this data to the server as an HTTP request, for example, using a REST API to send the data to the server in JSON format.

[0638] Output: The transmitted data is received by the server.

[0639] Step 3:

[0640] The server analyzes the data and generates the optimal sightseeing route.

[0641] Input: Data sent from the device about the area of ​​the travel destination, the number of days of travel, the places you want to visit and their priority.

[0642] How it works: The server analyzes the data and calculates the distance and travel time between each destination. The algorithm considers priorities and generates an efficient sightseeing route. It also calculates the optimal route using a network graph library.

[0643] Output: The generated optimal tourist route (e.g., "Point 1 → Point 2", "Point 3").

[0644] Step 4:

[0645] The generated optimal route is sent to the device and displayed.

[0646] Input: Data of optimal tourist routes generated on the server.

[0647] How it works: The server sends the generated route in JSON format to the device. The device receives it and provides an interface to display it. A map view and a list of places to visit are visually presented to the traveler.

[0648] Output: The optimal sightseeing route displayed on the device.

[0649] Step 5:

[0650] Linking with automated transport equipment to support mobility

[0651] Input: Data of the generated optimal tourist route.

[0652] Operation: The server or terminal passes the optimal route to the autonomous transport device. The autonomous transport device follows the instructed route, activates its autonomous driving system, and guides the traveler to the destination.

[0653] Output: Efficient on-site transportation using autonomous transport equipment.

[0654] Step 6:

[0655] User enters route correction information

[0656] Input: Data about the route the user wants to modify on the device or the new places they want to visit.

[0657] Operation: The terminal sends the correction information entered by the user back to the server. Correction comments and changes to priority are also made here.

[0658] Output: The correction information is sent to the server.

[0659] Step 7:

[0660] The server recalculates the optimal route based on the revised information

[0661] Input: Correction information sent from the terminal.

[0662] How it works: The server analyzes the corrections, recalculates distance and travel time, and generates a new, optimized route. It can also use generative AI models to provide a more accurate route.

[0663] Output: The newly generated optimal route.

[0664] Step 8:

[0665] Send the modified route to the device and display it.

[0666] Input: The modified optimal route data generated on the server.

[0667] How it works: The server sends this data to the device, which receives it and displays it to the user, and also provides an interface for updating the map display and the list of places to visit.

[0668] Output: The revised optimal sightseeing route displayed on the device.

[0669] In this way, a system will be built that provides optimal tourist routes based on traveler input data, allows for real-time adjustments during travel, and enables integration with autonomous transport vehicles.

[0670] Furthermore, an emotion engine that estimates the user's emotion may be further combined. That is, the identification processing unit 290 may estimate the user's emotion using the emotion identification model 59, and perform identification processing using the user's emotion.

[0671] This invention combines a system that automatically calculates and provides optimal sightseeing routes by allowing travelers to input the places they want to visit and their priorities, with an emotion engine that recognizes the user's emotions. This system utilizes the travelers' terminals and a server to provide flexible travel plans based on their emotions.

[0672] First, the user inputs the area of ​​the travel destination and the number of days of the trip into the terminal. The user also lists the places they want to visit and their priority on the terminal, and sets the priority for each place. For example, a user can plan a "3-day" trip to "Tokyo" and set the places they want to visit as "Tokyo Tower (high priority), " "Sensoji Temple (medium priority)," and "Shinjuku Gyoen (low priority)."

[0673] Next, the device sends the input information (travel area, travel days, wish list, priority) to the server. In addition, the device sends the user's input information, voice, facial expression, etc. to the emotion engine so that the emotion engine can analyze the user's emotions. The emotion engine analyzes this data and understands the user's current emotional state.

[0674] The server analyzes the input travel information and emotion data from the emotion engine to generate an optimal sightseeing route. Specifically, the server calculates the distance and estimated travel time between each visit point, and generates an efficient and emotion-appropriate route for the traveler by taking into account the priority of the visit points and the user's emotional state. For example, if the server recognizes that the user is tired, it shortens the route for that day and adjusts it to prioritize relaxing tourist spots.

[0675] The generated optimal route is sent to the device and displayed to the user. The user can review the proposed route and make corrections as necessary. For example, if the user wants to change the route order on the first day to "Tokyo Tower → Sensoji Temple," the correction information is resent from the device to the server. The server recalculates the optimal route and sends the corrected route information back to the device.

[0676] Once the user has finalized the route, the device will save this optimized route and provide navigation when the trip begins. Navigation will help the user to visit tourist spots along the proposed route through map display and voice instructions.

[0677] As a concrete example, consider the case where a user plans a "3-day trip to Tokyo (places to visit: Tokyo Tower, Sensoji Temple, Shinjuku Gyoen National Garden)." The user sets priorities for each place, the emotion engine analyzes the user's state of fatigue and excitement, and based on that information, the server can generate the following optimal route:

[0678] Day 1: Sensoji Temple → Tokyo Tower

[0679] Day 2: Shinjuku Gyoen

[0680] If the user checks the proposed route and wants to change the order on the first day to "Tokyo Tower → Sensoji Temple," the device sends the revised information back to the server, and the server calculates a new optimal route based on the revised information.

[0681] By taking into account the user's emotional state with the emotion engine, travelers can plan their trip optimally according to their mood at that moment, resulting in a more satisfying travel experience. This system is a breakthrough that saves time and effort and provides flexible travel planning.

[0682] The processing flow will be explained below.

[0683] Step 1:

[0684] User: Enter the area of ​​the destination and the number of days of the trip into the device. For example, enter "Tokyo" and "3 days."

[0685] Step 2:

[0686] User: Lists the places they want to visit and their priorities on their device. For example:

[0687] Tokyo Tower (High Priority)

[0688] Sensoji Temple (Medium Priority)

[0689] Shinjuku Gyoen National Garden (Priority: Low)

[0690] Step 3:

[0691] Device: Sends user input information (travel area, travel days, bucket list, priority) to the server. At the same time, collects data (voice input, facial expressions, text input, etc.) necessary for the emotion engine to analyze the user's current emotions.

[0692] Step 4:

[0693] Emotion engine: Analyzes collected data to identify the user's emotional state, for example, determining whether the user is tired or excited based on their tone of voice and facial expression.

[0694] Step 5:

[0695] Terminal: Sends emotion data obtained from the emotion engine to the server.

[0696] Step 6:

[0697] Server: Analyzes travel information and emotion data received from the device and temporarily stores them.

[0698] Step 7:

[0699] Server: Calculates distances and estimated travel times between each destination, using map data and traffic information.

[0700] Step 8:

[0701] Server: Generates an optimal sightseeing route by taking into account the priority of the places to visit, distance, travel time, and the user's emotional state. For example, if the user is tired, the server will shorten the travel distance and prioritize sightseeing spots where they can relax.

[0702] Step 9:

[0703] Server: Sends the generated optimal route information to the terminal.

[0704] Step 10:

[0705] Terminal: Displays the received optimal route to the user, who can review the proposed route and enter corrections if necessary.

[0706] Step 11:

[0707] User: If the user wants to make corrections to the proposed optimal route, they input the correction information into the terminal. For example, they change the route order on the first day to "Tokyo Tower → Sensoji Temple."

[0708] Step 12:

[0709] Terminal: Send the corrected route information to the server again.

[0710] Step 13:

[0711] Server: Recalculates the optimal route based on the revised information and generates a revised route.

[0712] Step 14:

[0713] Server: Sends the recalculated optimal route to the device.

[0714] Step 15:

[0715] Terminal: The revised optimal route is displayed to the user, who then confirms and confirms the final route.

[0716] Step 16:

[0717] Device: Stores final confirmed route and provides real-time navigation at the start of a trip. Navigation is provided through map display and voice instructions.

[0718] By taking into account the user's emotional state, the emotion engine increases the flexibility of travel plans, allowing travelers to enjoy sightseeing plans that suit their mood at the time. This system saves travelers time and effort, and provides a more comfortable and satisfying travel experience.

[0719] Example 2

[0720] Next, a description will be given of Example 2. In the following description, the data processing device 12 will be referred to as a "server" and the smart glasses 214 will be referred to as a "terminal."

[0721] Conventional travel planning systems were able to optimize sightseeing routes based on a traveler's desired destinations and priorities, but they did not adjust routes taking into account the traveler's emotional state. This made it difficult to provide flexible travel plans that reflected the traveler's emotional and physical state, which could result in a decline in the quality of the trip. The present invention aims to solve this problem by providing a system that provides optimal sightseeing routes based on the traveler's emotional state.

[0722] The specification process by the specification processing unit 290 of the data processing device 12 in the second embodiment is realized by the following means. In this invention, the server includes a means for inputting the places that the traveler wants to visit and their priority, a means for transmitting the input data and the traveler's emotional data to the server, a means for calculating the distance and travel time between each visit point based on the data and emotional data received by the server and generating an optimal sightseeing route taking into account the priority and the traveler's emotional state, and a means for transmitting the generated optimal route to the traveler's terminal and displaying it. This makes it possible to provide a flexible travel plan that reflects the traveler's emotional state.

[0723] A "traveler" is a person who intends to visit a tourist spot or destination, and is a user of this system.

[0724] "Destinations" are geographical locations or tourist attractions that a traveler wishes to visit during their trip.

[0725] "Priority" is an index of the importance that a traveler assigns to a place they wish to visit, and indicates the order in which they would like to visit.

[0726] "Data" means any electronic form of information, including information entered by a traveler and information for analysis by the emotion engine.

[0727] "Emotion data" refers to information about the emotional state of a traveler analyzed by the emotion engine based on the traveler's voice data, facial expression data, and other physiological indicators.

[0728] "Server" is a computer system that receives and analyzes data and generates optimal tourist routes.

[0729] An "optimal tourist route" is a series of visit sequences that optimizes travel efficiency and traveler comfort, taking into account the places a tourist wants to visit, their priorities, and their emotional state.

[0730] "Terminal" refers to an electronic device, such as a smartphone or tablet, that a traveler uses to input information.

[0731] "Navigation" is a function that provides the traveler with the necessary directions and directions to reach the destination by following the generated tourist route.

[0732] This invention combines a system that automatically calculates and provides optimal sightseeing routes based on the traveler's input of the places they want to visit and their priorities with an emotion engine that recognizes the traveler's emotions. The system aims to provide flexible travel plans based on the traveler's emotions using the traveler's terminal and server.

[0733] First, the user inputs the destination area and number of days of travel into the device. The user also lists the places they want to visit and their priority on the device, and sets the priority for each place. For example, a user can plan a "3-day" trip to "Tokyo" and set the places they want to visit as "Tower (high priority)," "Temple (medium priority)," and "Park (low priority)."

[0734] Next, the device sends the input information (travel area, travel days, wish list, priority) to the server. In addition, the device sends the user's input information, voice, facial expression, etc. to the emotion engine so that the emotion engine can analyze the user's emotions. The emotion engine analyzes this data and understands the user's current emotional state.

[0735] The server analyzes the input travel information and emotion data from the emotion engine to generate an optimal sightseeing route. Specifically, the server calculates the distance and estimated travel time between each visit point, and generates an efficient and emotion-appropriate route for the traveler by taking into account the priority of the visit points and the user's emotional state. For example, if the emotion engine recognizes that the user is tired, it shortens the route for that day and prioritizes tourist spots where people can relax.

[0736] The generated optimal route is sent to the device and displayed to the user. The user can review the proposed route and make corrections if necessary. For example, if the user wants to change the route order on the first day to "Tower → Temple," the device resends the correction information to the server. The server then recalculates the optimal route and sends the corrected route information back to the device.

[0737] Once the user has finalized the route, the device will save this optimized route and provide navigation when the trip begins. Navigation will help the user to visit tourist spots along the proposed route through map display and voice instructions.

[0738] As a concrete example, consider the case where a user plans a "3-day trip to Tokyo (places to visit: towers, temples, parks)." The user sets priorities for each place, the emotion engine analyzes the user's fatigue and excitement levels, and based on that information, the server can generate the following optimal route:

[0739] Day 1: Temple → Tower

[0740] Day 2: The Park

[0741] If the user checks the proposed route and wants to change the order on the first day to "Tower → Temple," the device sends the revised information back to the server, and the server calculates a new optimal route based on the revised information.

[0742] By taking into account the user's emotional state with the emotion engine, travelers can plan their trip optimally according to their mood at that moment, resulting in a more satisfying travel experience. This system is a breakthrough that saves time and effort and provides flexible travel planning.

[0743] Example prompt sentence:

[0744] Example of travel plan input:

[0745] Travel destination area: Tokyo

[0746] Travel duration: 3 days

[0747] Places I want to visit: Tower (high priority), Temple (medium priority), Park (low priority)

[0748] Example of optimal route:

[0749] The suggested route is as follows:

[0750] Day 1: Temple → Tower

[0751] Day 2: The Park

[0752] The flow of the identification process in the second embodiment will be described with reference to FIG.

[0753] Step 1:

[0754] The user inputs travel plan information into the terminal. The user inputs the travel destination area, the number of days of travel, and the places they want to visit and their priority. The input information includes, for example, "Tokyo," "3 days," "Tower (high priority)," "Temple (medium priority)," and "Park (low priority)." The input data format is text.

[0755] Step 2:

[0756] The device sends the user's input information to the server. Specifically, the device sends the following data to the cloud-based server: "Travel destination area: Tokyo," "Travel duration: 3 days," "Places to visit: Tower, temple, park," and "Priority of each place: Tower (high), temple (medium), park (low)." The input is in text format, and the output is the data sent to the server.

[0757] Step 3:

[0758] The device sends the user's voice data and facial expression data to the emotion engine. When the user inputs their travel plans, the device uses a microphone and camera to collect voice and facial expression data. This data is sent to the emotion engine and processed as input.

[0759] Step 4:

[0760] The emotion engine analyzes the user's emotional state. The emotion engine analyzes the received voice data and facial expression data to identify the user's emotional state (e.g., tired, excited). This analysis is performed using machine learning algorithms. The input is voice and facial expression data, and the output is text data representing the user's emotional state.

[0761] Step 5:

[0762] The server calculates the optimal route for the travel plan. The server receives travel information (destination area, travel days, desired places to visit and their priority) and emotion data received from the emotion engine as input, and calculates the distance and travel time between each visit point based on this. Furthermore, it generates the optimal sightseeing route taking into account the priority of the visit points and the user's emotional state. For example, if the user is tired, the server will prioritize routes with shorter distances and places where they can relax. The input is travel information and emotion data, and the output is text data of the optimal sightseeing route.

[0763] Step 6:

[0764] The server sends the optimal route to the terminal. The server then sends the calculated optimal route in text data format to the terminal. For example, route information such as "Day 1: Temple → Tower" and "Day 2: Park" is sent to the terminal. The input is the text data of the optimal route, and the output is the data sent to the terminal.

[0765] Step 7:

[0766] The user checks the optimal route and inputs any necessary corrections into the terminal. For example, if the user wants to change the route order, they input "Change route order for day 1: Tower → Temple" into the terminal as input data. The input is the user's correction information, and the output is the corrected route information displayed on the terminal.

[0767] Step 8:

[0768] The terminal resends the corrected information to the server. The terminal sends the corrected information entered by the user to the server, and the server recalculates the optimal route. The input is the user's corrected information, and the output is the data sent to the server.

[0769] Step 9:

[0770] The server recalculates the revised optimal route and sends it to the terminal. The server recalculates the optimal route based on the revised information and sends the revised route to the terminal in text data format. The input is the revised information and the output is the revised optimal route.

[0771] Step 10:

[0772] The user finalizes the route. The device saves the final route information and provides navigation at the start of the trip. The navigation includes map display and voice instructions to help the user navigate the tourist spots along the proposed route. The input is the finalized route information, and the output is the saved navigation data.

[0773] (Application example 2)

[0774] Next, a description will be given of Application Example 2. In the following description, the data processing device 12 will be referred to as a "server" and the smart glasses 214 will be referred to as a "terminal."

[0775] Conventional tourist route generation systems calculate routes based on a user's desired places to visit and their priorities. However, these systems lack the ability to flexibly adjust routes based on the user's emotions and physical condition, which hinders traveler satisfaction. In particular, autonomous vehicles require real-time adjustments based on the traveler's emotions to ensure both comfort and efficiency during travel. Therefore, it is crucial to provide a system that can flexibly plan trips while taking into account the user's emotional state.

[0776] The specific processing by the specific processing unit 290 of the data processing device 12 in the application example 2 is realized by the following means.

[0777] In this invention, the server includes: means for inputting places that a traveler wants to visit and their priority; means for transmitting the input information to the server; means for calculating the distance and travel time between each of the visit points based on the information received by the server and generating an optimal sightseeing route taking priority into consideration; an emotion recognition engine and calculation means for analyzing the user's emotion data based on the generated optimal route; means for flexibly adjusting the route taking into consideration the analysis results of the emotion recognition engine; and means for transmitting the generated optimal route to the traveler's terminal and displaying it. This enables travel planning that takes into consideration the user's emotional state and fatigue level, thereby increasing traveler satisfaction.

[0778] A "traveler's device" is a device capable of inputting and displaying information, such as a traveler's smartphone or personal digital assistant, or the infotainment system in an autonomous vehicle.

[0779] "Priority" refers to the importance or priority that a traveler assigns to a place they want to visit.

[0780] "Server" refers to a computer system that receives and processes data sent from travelers' terminals over a network.

[0781] An "emotion recognition engine" is software or hardware that analyzes a user's tone of voice, facial expressions, etc. to identify their current emotional state.

[0782] The "optimal tourist route" is the most efficient and comfortable travel route for the traveler, taking into consideration the desired places and priorities entered by the traveler, travel time, distance, and even the user's emotional data.

[0783] "Means for flexible adjustment" refers to technologies and methods that dynamically change the set tourist route in response to changes in the user's emotions and physical condition, and always provide the optimal route for the traveler.

[0784] "Navigation" means a system or function that provides directions, guidance, and map displays to a traveler to reach a destination along a selected travel route.

[0785] The system based on this invention allows a traveler to input the places they want to visit and their priority, and automatically generates an optimal sightseeing route that takes emotion data into consideration. The user's terminal is a device such as a smartphone or an infotainment system in an autonomous vehicle. Using this terminal, the user can input the places they want to visit and their priority. The terminal has a means for transmitting the input information to a server.

[0786] Based on the input information (desired places to visit, priority, number of travel days, etc.), the server calculates the distance and travel time between each visit point and generates an optimal sightseeing route taking priority into consideration. In this process, the server uses an emotion recognition engine to analyze the user's emotional data and identify the user's current emotional state from their voice and facial expression. Specifically, voice recognition software and facial expression analysis software function as the emotion engine to analyze the user's level of fatigue, excitement, etc.

[0787] Furthermore, the server has the means to flexibly adjust the generated sightseeing route, taking into account the analysis results of the emotion recognition engine. For example, if the user is tired or stressed, the server can shorten the route for that day or prioritize sightseeing spots where the user can relax. The adjusted optimal route is then sent back from the server to the user's device and displayed on the device.

[0788] The navigation system provides directions to help travelers reach their destinations based on local tourist routes, and is reflected in map displays, voice guidance, and even the routes of autonomous vehicles.

[0789] As a specific example, if a user wishes to visit "Tokyo Tower," "Sensoji Temple," and "Shinjuku Gyoen," and the emotion engine determines after input that the user is "tired," the route for the first day will be "Tokyo Tower → Sensoji Temple," and on the second day, a route to visit "Shinjuku Gyoen" will be automatically generated. The user can check this route within the application and change it as necessary.

[0790] An example of a prompt for a generative AI model is:

[0791] The user inputs the travel destination and sets its priority. Then, the user's voice and facial expressions are acquired, and the emotion data is analyzed using the emotion engine. Based on the results, the travel route is calculated.

[0792] In this way, the system can provide flexible travel plans that take into account the user's emotional state, thereby increasing traveler satisfaction.

[0793] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[0794] Step 1:

[0795] The user uses a smartphone or infotainment system to input the places they want to visit and their priority. The user also inputs the travel area and number of days, and this data is saved on the device. The input data includes a list of places they want to visit, their priority, and the number of days they want to travel.

[0796] input:

[0797] A list of places you would like to visit (e.g. Tokyo Tower, Sensoji Temple, Shinjuku Gyoen National Garden)

[0798] Priority (e.g. high, medium, low)

[0799] Travel days

[0800] output:

[0801] Data on desired destinations, priorities, and travel dates stored on your device

[0802] Step 2:

[0803] The device sends the user's input information to the server. Specifically, it is transferred to the server as JSON format data. The server receives this input information and stores it in a database.

[0804] input:

[0805] Input data sent from the terminal

[0806] output:

[0807] Input data stored on the server

[0808] Step 3:

[0809] The server activates an emotion recognition engine to capture and analyze the user's voice and facial expressions. The emotion recognition engine uses voice recognition software and facial expression analysis software to identify the user's emotional state.

[0810] input:

[0811] User voice data

[0812] User's facial expression data

[0813] output:

[0814] User emotional state data (e.g., tired, excited)

[0815] Step 4:

[0816] Based on the received input information and emotional state data, the server calculates the distance and travel time between each visit point, and generates an optimal sightseeing route taking into account the priority and emotional state. A route generation algorithm is used here.

[0817] input:

[0818] List of places you want to visit

[0819] priority

[0820] Travel days

[0821] Emotional state data

[0822] output:

[0823] Optimal tourist route data

[0824] Step 5:

[0825] The server sends the generated optimal sightseeing route to the user's device, which displays it. The user can check the proposed route and input corrections if necessary. The device then sends the corrected information back to the server.

[0826] input:

[0827] Optimal tourist route data

[0828] output:

[0829] The best sightseeing route displayed on your device

[0830] Corrected route data (if necessary)

[0831] Step 6:

[0832] The server recalculates the optimal route based on the revised information and sends the optimized route to the traveler's device, possibly using the emotion recognition engine again.

[0833] input:

[0834] Corrected route data

[0835] Emotional state data (if required)

[0836] output:

[0837] Re-optimized tourist route data

[0838] Step 7:

[0839] Finally, once the user has finalized the route, the device will save this optimized route and provide navigation when the trip begins. The navigation system will provide real-time map display and voice guidance on the spot.

[0840] input:

[0841] Final tourist route data

[0842] output:

[0843] Local navigation instructions

[0844] Map display

[0845] Audio guidance

[0846] 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 a user input regarding the result of the specific processing. The control unit 46A transmits audio data indicating the user input acquired by the microphone 238 to the data processing device 12. In the data processing device 12, the specific processing unit 290 acquires the audio data.

[0847] The data generation model 58 is a so-called generative AI (Artificial Intelligence). An example of the data generation model 58 is ChatGPT (Internet Search<URL: https: / / openai.com / blog / chatgpt> ), Gemini (Internet search <url: https: gemini.google.com ?hl="ja">) and other generation AIs. The data generation model 58 is obtained by performing deep learning on a neural network. A prompt including an instruction is input to the data generation model 58, and inference data such as voice data indicating voice, text data indicating text, and image data indicating an image is also input. The data generation model 58 performs inference on the input inference data in accordance with the instruction indicated by the prompt, and outputs the inference result in a data format such as voice data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization.

[0848] In the above embodiment, an example in which the specific processing is performed by the data processing device 12 has been given, but the technology of the present disclosure is not limited to this, and the specific processing may be performed by the smart glasses 214.

[0849] [Third embodiment]

[0850] FIG. 5 shows an example of the configuration of a data processing system 310 according to the third embodiment.

[0851] 5, the data processing system 310 includes the data processing device 12 and a headset type terminal 314. An example of the data processing device 12 is a server.

[0852] The data processing device 12 includes a computer 22, a database 24, and a communication I / F 26. The computer 22 is an example of a "computer" according to the technology of the present disclosure. The computer 22 includes a processor 28, a RAM 30, and a storage 32. The processor 28, the RAM 30, and the storage 32 are connected to a bus 34. The database 24 and the communication I / F 26 are also connected to the bus 34. The communication I / F 26 is connected to a network 54. Examples of the network 54 include a WAN (Wide Area Network) and / or a LAN (Local Area Network).

[0853] The headset type terminal 314 includes a computer 36, a microphone 238, a speaker 240, a camera 42, a communication I / F 44, and a display 343. The computer 36 includes a processor 46, a RAM 48, and a storage 50. The processor 46, the RAM 48, and the storage 50 are connected to a bus 52. The microphone 238, the speaker 240, the camera 42, and the display 343 are also connected to the bus 52.

[0854] The microphone 238 receives instructions and the like from the user 20 by receiving voice uttered by the user 20. The microphone 238 captures the voice uttered by the user 20, converts the captured voice into audio data, and outputs it to the processor 46. The speaker 240 outputs audio in accordance with instructions from the processor 46.

[0855] Camera 42 is a small digital camera equipped with an optical system including a lens, aperture, and shutter, and an imaging element such as a CMOS (Complementary Metal-Oxide-Semiconductor) image sensor or a CCD (Charge Coupled Device) image sensor, and captures images of the surroundings of user 20 (for example, an imaging range defined by an angle of view equivalent to the field of vision of a typical healthy person).

[0856] The communication I / F 44 is connected to a network 54. The communication I / Fs 44 and 26 are responsible for the exchange of various information between the processor 46 and the processor 28 via the network 54. The exchange of various information between the processor 46 and the processor 28 using the communication I / Fs 44 and 26 is carried out in a secure state.

[0857] Fig. 6 shows an example of the main functions of the data processing device 12 and the headset type terminal 314. As shown in Fig. 6, in the data processing device 12, a specific process is performed by the processor 28. A specific process program 56 is stored in the storage 32.

[0858] The specific processing program 56 is an example of a "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 the processor 28 operating as a specific processing unit 290 in accordance with the specific processing program 56 executed on the RAM 30.

[0859] 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 identification processing unit 290.

[0860] In the headset type terminal 314, a reception output process is performed by the processor 46. A reception output program 60 is stored in the storage 50. 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 process is realized by the processor 46 operating as the control unit 46A in accordance with the reception output program 60 executed on the RAM 48.

[0861] Next, a description will be given of the identification process performed by the identification processing unit 290 of the data processing device 12. 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."

[0862] This invention is a system that automatically calculates and provides optimal sightseeing routes based on the tourist's input of the places they want to visit and their priorities. This system utilizes the tourist's terminal and a server to improve the efficiency of travel planning.

[0863] First, the user inputs the area of ​​the travel destination and the number of days of the trip into the terminal. The user also lists the places they want to visit and their priority on the terminal, and sets the priority for each place. For example, a user can plan a "3-day" trip to "Tokyo" and set the places they want to visit as "Tokyo Tower (high priority), " "Sensoji Temple (medium priority)," and "Shinjuku Gyoen (low priority)."

[0864] Next, the device sends the input information (travel area, number of travel days, list of places to visit, priority) to the server. The server analyzes the received data and calculates the optimal sightseeing route. Specifically, the server calculates the distance and estimated travel time between each visit point, and generates an efficient route for the traveler, taking into account the priority of the visit points. For example, based on the user's input, the route for the first day could be "Sensoji Temple → Tokyo Tower" and for the second day, "Shinjuku Gyoen National Garden."

[0865] The optimal route generated by the server is sent to the device and displayed to the user. The user can review the proposed route and make corrections as necessary. For example, if the user wants to change the route order on the first day to "Tokyo Tower → Sensoji Temple," the correction information is resent from the device to the server. The server then recalculates the optimal route and sends the corrected route information back to the device.

[0866] Once the user has finalized the route, the device will save this optimized route and provide navigation when the trip begins. Navigation will help the user to visit tourist spots along the proposed route through map display and voice instructions.

[0867] As a concrete example, consider the case where a user plans a three-day trip to Tokyo (places to visit: Tokyo Tower, Sensoji Temple, Shinjuku Gyoen National Garden). The user sets priorities for each place and sends that information from the device to the server, which then generates the following optimal route based on the priorities:

[0868] Day 1: Sensoji Temple → Tokyo Tower

[0869] Day 2: Shinjuku Gyoen

[0870] If the user checks the proposed route and wants to change the order on the first day to "Tokyo Tower → Sensoji Temple," the device sends the revised information back to the server, and the server calculates a new optimal route based on the revised information.

[0871] This system allows travelers to use their time efficiently and effectively visit the tourist spots they want to visit. Furthermore, users can adjust their routes as needed during their trip, allowing for flexible travel plans.

[0872] The processing flow will be explained below.

[0873] Step 1:

[0874] User: Enter the area of ​​the destination and the number of days of the trip into the device. For example, enter "Tokyo" and "3 days."

[0875] Step 2:

[0876] User: Lists the places they want to visit and their priorities on their device. For example:

[0877] Tokyo Tower (High Priority)

[0878] Sensoji Temple (Medium Priority)

[0879] Shinjuku Gyoen National Garden (Priority: Low)

[0880] Step 3:

[0881] Terminal: Sends the entered travel area, number of travel days, list of places you want to visit, and priority to the server.

[0882] Step 4:

[0883] Server: Analyzes the received information and temporarily stores data based on the traveler's preferences.

[0884] Step 5:

[0885] Server: Calculates distances and estimated travel times between each destination, using map data and traffic information.

[0886] Step 6:

[0887] Server: Generates the optimal sightseeing route by taking into account the priority, distance, and travel time of the places to visit. For example, the route on the first day might be "Sensoji Temple → Tokyo Tower."

[0888] Step 7:

[0889] Server: Sends the generated optimal route information to the terminal.

[0890] Step 8:

[0891] Terminal: Displays the received optimal route to the user. The user confirms the proposed route.

[0892] Step 9:

[0893] User: If you want to make any changes to the proposed optimal route, enter the changes into the device. For example, change the order on the first day to "Tokyo Tower → Sensoji Temple."

[0894] Step 10:

[0895] Terminal: Send the corrected route information to the server again.

[0896] Step 11:

[0897] Server: Recalculate the optimal route based on the revised information and generate a revised route.

[0898] Step 12:

[0899] Server: Sends the recalculated optimal route to the device.

[0900] Step 13:

[0901] Terminal: The revised optimal route is displayed to the user, who then confirms and confirms the final route.

[0902] Step 14:

[0903] Device: Saves final confirmed route and provides real-time navigation at the start of a trip. Navigation is provided through map display and voice instructions.

[0904] Processing is carried out at each step in this way, providing travelers with the optimal sightseeing route tailored to their needs and enabling efficient travel planning.

[0905] Example 1

[0906] Next, a description will be given of Example 1. In the following description, the data processing device 12 will be referred to as a "server" and the headset type terminal 314 will be referred to as a "terminal."

[0907] Conventional travel planning systems require travelers to manually determine the places they want to visit and their priorities, and then manually plan the optimal sightseeing route, which requires a lot of time and effort. Another problem is that it is difficult to change routes, making it difficult to create flexible travel plans. The present invention aims to solve these problems and provide a system that allows travelers to efficiently create and flexibly change travel plans.

[0908] The specific processing by the specific processing unit 290 of the data processing device 12 in the first embodiment is realized by the following means.

[0909] In this invention, the server includes a device for inputting the places a traveler wants to visit and their priority, a device for transmitting the input information to an information processing device, a device for calculating the distance and travel time between each visit point based on the information received by the information processing device and generating an optimal sightseeing route taking the priority into consideration, a device for transmitting the generated optimal route to the traveler's display device and displaying it, and a device for providing navigation based on the optimal route saved at the start of the trip. This allows travelers to plan their trip efficiently and effectively and makes it easy to modify the route in real time.

[0910] A "tourist" is someone who visits a particular place for tourism, business, or other purposes.

[0911] "Places to visit" refers to locations that travelers wish to visit for sightseeing or sightseeing.

[0912] "Priority" refers to a criterion that indicates the importance or urgency of a destination that a traveler wishes to visit.

[0913] "Device" refers to a hardware or software component designed to perform a specific function.

[0914] "Information processing device" refers to a computer or server that receives, analyzes, calculates, and generates results from data.

[0915] "Display device" refers to a device that visually displays data transmitted from an information processing device. Examples include the screens of smartphones, tablets, and PCs.

[0916] "Navigation" refers to the function of providing travelers with the direction and location information they need to travel along a specific route.

[0917] "Distance" refers to the physical distance between two visit points.

[0918] "Travel Time" refers to the estimated time it takes to travel between two destinations.

[0919] A "route" refers to an optimized path for visiting multiple destinations in sequence.

[0920] This invention is a system that automatically calculates and provides optimal sightseeing routes based on the traveler's input of the places they want to visit and their priorities. This system utilizes the traveler's terminal and an information processing device (server) to improve the efficiency of travel planning.

[0921] First, the user inputs the area of ​​the travel destination and the number of days of the trip into the terminal. The user also lists the places they want to visit and their priorities on the terminal, and sets the priority for each place. For example, if the user plans a "3-day" trip to "City A," they can set the places they want to visit as "Location 1 (high priority)," "Location 2 (medium priority)," and "Location 3 (low priority)."

[0922] Next, the device sends the input information (travel area, number of travel days, list of places to visit, priority) to the server. The server analyzes the received data and calculates the optimal sightseeing route. Specifically, the server calculates the distance and estimated travel time between each visit point, and generates an efficient route for the traveler taking into account the priority of the visit points. To do this, the server obtains the distance and travel time using the Google Maps API and uses an optimization algorithm such as Dijkstra's Algorithm. For example, based on the user's input, the route for the first day could be "Location 2 → Location 1," and for the second day, "Location 3."

[0923] The optimal route generated by the server is sent to the device and displayed to the user. The user can review the proposed route and make corrections as necessary. For example, if the user wants to change the route order on the first day to "Location 1 → Location 2," the correction information is resent from the device to the server. The server then recalculates the optimal route and sends the corrected route information back to the device.

[0924] Finally, once the user has finalized the route, the device will save this optimized route and provide navigation when the trip begins, helping the user to visit the tourist spots along the proposed route through map display and voice instructions.

[0925] As a concrete example, consider the case where a user plans a three-day trip to City A (places to visit: Place 1, Place 2, Place 3). The user sets a priority for each place and sends that information from the device to the server. The server then generates the following optimal route based on the priority:

[0926] Day 1: Location 2 → Location 1

[0927] Day 2: Location 3

[0928] If the user checks the proposed route and decides to change the order of the first day from "Location 1 → Location 2," the device sends the revised information back to the server, which then calculates a new optimal route based on the revised information. This system allows travelers to use their time efficiently and effectively visit the tourist spots they want to visit. Furthermore, users can adjust the route as needed during their trip, allowing for flexible travel planning.

[0929] Example prompt sentence:

[0930] Enter the area you want to travel to and the number of days you want to travel. Then, list the places you want to visit and their priority. For example, enter "3 days in City A, Location 1 (high), Location 2 (medium), Location 3 (low)."

[0931] The flow of the identification process in the first embodiment will be described with reference to FIG.

[0932] Step 1:

[0933] User actions

[0934] Enter the area of ​​your destination and the number of days you wish to travel into the terminal.

[0935] Input: Destination area (e.g., "City A"), number of days (e.g., "3 days")

[0936] Specific operation: The user enters "City A" and "3 days" into the input fields of the terminal and clicks the "Next" button.

[0937] Output: Travel destination area and travel days data entered into the device

[0938] Step 2:

[0939] User actions

[0940] Set the places you want to visit and their priorities on your device.

[0941] Input: Locations you want to visit (e.g. "Location 1, Location 2, Location 3"), Priority (e.g. "High, Medium, Low")

[0942] Specific operation: The user enters "Location 1," "Location 2," and "Location 3" and their priorities "High," "Medium," and "Low" into the input fields on the device and clicks the "Add" button.

[0943] Output: A list of locations and priorities entered on the device

[0944] Step 3:

[0945] Processing performed by the device

[0946] The entered information (travel area, number of travel days, list of places to visit, priority) is sent to the server.

[0947] Input: Travel area, travel days, visit list, priority data entered on the device

[0948] Specific operation: The device compiles this data into JSON format and sends it to the server as a POST request.

[0949] Output: Trip information data sent to the server

[0950] Step 4:

[0951] Processing performed by the server

[0952] The received data is analyzed and the information in each field is extracted.

[0953] Input: JSON format travel information data received from the terminal

[0954] Specific operation: The server analyzes the data for "City A," "3 days," "Location 1 (high)," "Location 2 (medium)," and "Location 3 (low)," and stores it in each field.

[0955] Output: Analyzed travel area, travel days, list of places visited, priority data

[0956] Step 5:

[0957] Processing performed by the server

[0958] Calculates the distance and travel time between each visit point and generates the optimal tourist route taking priorities into account.

[0959] Input: Parsed destination list and priority data

[0960] Data processing / calculation: Using Google Maps API to obtain distances and travel times between each destination, and calculating the optimal route using Dijkstra's Algorithm

[0961] What it does: The server sends a request to the Google Maps API, gets distance and time information, and calculates the route using an optimization algorithm.

[0962] Output: Data on optimal tourist routes

[0963] Step 6:

[0964] Processing performed by the server

[0965] The calculated optimal route data is returned to the terminal.

[0966] Input: Data on optimal tourist routes

[0967] Specific operation: The server repackages this data in JSON format and sends it to the terminal as a POST request.

[0968] Output: Optimal route data sent to the device

[0969] Step 7:

[0970] Processing performed by the device

[0971] Analyzes the route data received from the server and displays it to the user.

[0972] Input: JSON data of the optimal route received from the server

[0973] Specific operation: The device displays "Day 1: Location 2 → Location 1, Day 2: Location 3" and the user confirms the content.

[0974] Output: Optimal route displayed to the user

[0975] Step 8:

[0976] User actions

[0977] Corrections to the optimum route are entered and the corrected information is retransmitted from the terminal to the server.

[0978] Input: Revised route information (e.g., change "Day 1: Location 1 → Location 2")

[0979] Specific operation: The user enters the correction information on the terminal, clicks the "Resend" button, and the terminal sends the corrected data to the server.

[0980] Output: Corrected data sent to the server

[0981] Step 9:

[0982] Processing performed by the server

[0983] The optimal route is recalculated based on the revised information, and the new route is sent to the terminal.

[0984] Input: Corrected route information

[0985] Data processing / calculation: Again, we use the Google Maps API to calculate a new route based on the revised route (using Dijkstra's Algorithm).

[0986] Specific operation: The server analyzes the correction information, calculates a new route, and sends it to the device.

[0987] Output: Recalculated optimal route data

[0988] Step 10:

[0989] User actions

[0990] After checking the route, confirm the route and save it to your device.

[0991] Input: Final route information

[0992] Specific operation: The user clicks the "Confirm" button and the device saves the final route.

[0993] Output: Final route saved on the device

[0994] Step 11:

[0995] Processing performed by the device

[0996] When starting a trip, it provides navigation based on saved routes.

[0997] Input: Saved last route information

[0998] Specific operation: The device navigates through map display and voice instructions, such as "Day 1: Location 1 → Location 2, Day 2: Location 3."

[0999] Output: Navigation information provided

[1000] (Application example 1)

[1001] Next, a description will be given of Application Example 1. In the following description, the data processing device 12 will be referred to as a "server" and the headset type terminal 314 will be referred to as a "terminal."

[1002] Conventional tourist route guidance systems simply generate and display the optimal route based on the places to visit and priorities entered by the user. However, when travelers actually visit tourist spots, they need a means of transportation that allows them to travel efficiently. Furthermore, without the ability to modify or adjust routes in real time, it is difficult to realize flexible travel plans, which can lead to many inconveniences. Therefore, there is a need for a system that allows travelers to easily change the optimal route and travel flexibly in conjunction with their means of transportation.

[1003] The specific processing by the specific processing unit 290 of the data processing device 12 in the application example 1 is realized by the following means.

[1004] In this invention, the server includes a means for inputting places that a traveler wants to visit and their priority, a means for transmitting the input information to the server, a means for calculating the distance and travel time between each visit point based on the information received by the server and generating an optimal tourist route taking priority into consideration, a means for transmitting and displaying the generated optimal route to the traveler's terminal, and a means for linking the generated optimal route with an autonomous transport vehicle to support the traveler's movement. This allows travelers to travel around tourist spots efficiently, and enables route adjustments in real time and linkage with transportation means.

[1005] "Tourists" are people who visit a particular region or place for the purpose of sightseeing or travel.

[1006] "Places to visit" are locations or destinations that travelers want to visit when sightseeing or traveling.

[1007] "Priority" refers to the relative importance of a place that a traveler wants to visit, indicating which of the places they want to visit first or which is more important.

[1008] A "server" is a type of computer system that receives, analyzes, and sends data over a network.

[1009] An "optimal tourist route" is a route that allows for efficient and effective sightseeing, calculated taking into account the priority, distance, and travel time of the places you want to visit.

[1010] A "terminal" is a device (such as a smartphone or tablet) that a user uses to input and receive information.

[1011] "Autonomous driving transport equipment" refers to a means of transportation equipped with self-driving technology (such as an autonomous vehicle or robotic transport device).

[1012] A "generative AI model" is an artificial intelligence technology that learns from large amounts of data and generates optimal output.

[1013] "Means for entering real-time corrections" means an interface or functionality that allows a user to instantly change routes or update information during a trip.

[1014] "Navigation" refers to a system that provides route guidance and directions to help users reach their destination efficiently.

[1015] This invention is a system that automatically calculates and provides optimal sightseeing routes based on the tourist's input of the places they want to visit and their priorities. This system utilizes the tourist's terminal and a server to improve the efficiency of travel planning.

[1016] System Configuration

[1017] The traveler's device is a smartphone, tablet, or the like, and provides an interface for the traveler to input the places they want to visit and their priorities.

[1018] The server receives the input information, analyzes the data, and performs calculations to calculate the optimal sightseeing route.

[1019] Autonomous transport equipment (autonomous vehicles and robotic transportation devices) will support travelers' movements based on generated optimal routes, enabling efficient tourism.

[1020] Program processing

[1021] 1. Traveler input

[1022] On the terminal, the traveler inputs the area of ​​the travel destination, the number of days of the trip, the places they want to visit, and their priority. For example, the travel destination is "City A," the number of days of the trip is "3 days," and the places they want to visit are set as "Point 1 (high priority)," "Point 2 (medium priority)," and "Point 3 (low priority)."

[1023] 2. Data transmission and analysis

[1024] The device sends the input information to the server, which analyzes the received data and calculates the distance and travel time between each destination.

[1025] 3. Generating the optimal route

[1026] The server generates an efficient sightseeing route by taking into account the priority of the visited points. For example, the route on the first day is "Point 1 → Point 2," and the route on the second day is "Point 3."

[1027] 4. Providing navigation

[1028] The generated optimal route is sent to the traveler's device and displayed, and the route is also linked to the autonomous transport vehicle to provide on-site navigation.

[1029] 5. Real-time corrections

[1030] If a traveler wants to modify the route during the trip, they input the modified information into the terminal and send it back to the server. The server then recalculates the optimal route based on the modified information and sends the new information to the terminal.

[1031] Hardware and Software

[1032] Device: Smartphone or tablet (e.g. iPhone, iPad, Android device)

[1033] Server: A computer system that receives, analyzes, and sends data over a network (e.g., an AWS EC2 instance).

[1034] Autonomous transport equipment: Self-driving cars and robotic transport devices

[1035] Examples and prompts

[1036] Example: When a user plans a three-day trip to "City A" (desired places to visit: Point 1, Point 2, Point 3), the server analyzes and generates the optimal route, presenting the route "Point 1 → Point 2" on the first day and "Point 3" on the second day. If the traveler wants to change the route order on the first day to "Point 2 → Point 1," the traveler can resend the correction information from the device, and the server will recalculate and present a new route.

[1037] Example prompts: "What area are you traveling to?" "Make a list of places you'd like to visit. Be sure to prioritize them."

[1038] In this way, it is possible to realize a system that calculates the optimal route in real time based on the information entered by travelers and supports efficient tourism by linking with self-driving cars.

[1039] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[1040] Step 1:

[1041] Users enter the places they want to visit and their priorities

[1042] Input: The user inputs the area of ​​the travel destination, the number of days of travel, the places they want to visit, and their priority on their device (smartphone or tablet).

[1043] Behavior: Provides an input form using a user interface, and also performs format checks and validation of input data to ensure there are no errors.

[1044] Output: User-entered data on places they want to visit, their priority, travel days, and travel area.

[1045] Step 2:

[1046] The device sends data to the server

[1047] Input: User-entered data on the area of ​​the destination, the number of days of travel, the places they want to visit and their priority.

[1048] How it works: The device sends this data to the server as an HTTP request, for example, using a REST API to send the data to the server in JSON format.

[1049] Output: The transmitted data is received by the server.

[1050] Step 3:

[1051] The server analyzes the data and generates the optimal sightseeing route.

[1052] Input: Data sent from the device about the area of ​​the travel destination, the number of days of travel, the places you want to visit and their priority.

[1053] How it works: The server analyzes the data and calculates the distance and travel time between each destination. The algorithm considers priorities and generates an efficient sightseeing route. It also calculates the optimal route using a network graph library.

[1054] Output: The generated optimal tourist route (e.g., "Point 1 → Point 2", "Point 3").

[1055] Step 4:

[1056] The generated optimal route is sent to the device and displayed.

[1057] Input: Data of optimal tourist routes generated on the server.

[1058] How it works: The server sends the generated route in JSON format to the device. The device receives it and provides an interface to display it. A map view and a list of places to visit are visually presented to the traveler.

[1059] Output: The optimal sightseeing route displayed on the device.

[1060] Step 5:

[1061] Linking with automated transport equipment to support mobility

[1062] Input: Data of the generated optimal tourist route.

[1063] Operation: The server or terminal passes the optimal route to the autonomous transport device. The autonomous transport device follows the instructed route, activates its autonomous driving system, and guides the traveler to the destination.

[1064] Output: Efficient on-site transportation using autonomous transport equipment.

[1065] Step 6:

[1066] User enters route correction information

[1067] Input: Data about the route the user wants to modify on the device or the new places they want to visit.

[1068] Operation: The terminal sends the correction information entered by the user back to the server. Correction comments and changes to priority are also made here.

[1069] Output: The correction information is sent to the server.

[1070] Step 7:

[1071] The server recalculates the optimal route based on the revised information

[1072] Input: Correction information sent from the terminal.

[1073] How it works: The server analyzes the corrections, recalculates distance and travel time, and generates a new, optimized route. It can also use generative AI models to provide a more accurate route.

[1074] Output: The newly generated optimal route.

[1075] Step 8:

[1076] Send the modified route to the device and display it.

[1077] Input: The modified optimal route data generated on the server.

[1078] How it works: The server sends this data to the device, which receives it and displays it to the user, and also provides an interface for updating the map display and the list of places to visit.

[1079] Output: The revised optimal sightseeing route displayed on the device.

[1080] In this way, a system will be built that provides optimal tourist routes based on traveler input data, allows for real-time adjustments during travel, and enables integration with autonomous transport vehicles.

[1081] Furthermore, an emotion engine that estimates the user's emotion may be further combined. That is, the identification processing unit 290 may estimate the user's emotion using the emotion identification model 59, and perform identification processing using the user's emotion.

[1082] This invention combines a system that automatically calculates and provides optimal sightseeing routes by allowing travelers to input the places they want to visit and their priorities, with an emotion engine that recognizes the user's emotions. This system utilizes the travelers' terminals and a server to provide flexible travel plans based on their emotions.

[1083] First, the user inputs the area of ​​the travel destination and the number of days of the trip into the terminal. The user also lists the places they want to visit and their priority on the terminal, and sets the priority for each place. For example, a user can plan a "3-day" trip to "Tokyo" and set the places they want to visit as "Tokyo Tower (high priority), " "Sensoji Temple (medium priority)," and "Shinjuku Gyoen (low priority)."

[1084] Next, the device sends the input information (travel area, travel days, wish list, priority) to the server. In addition, the device sends the user's input information, voice, facial expression, etc. to the emotion engine so that the emotion engine can analyze the user's emotions. The emotion engine analyzes this data and understands the user's current emotional state.

[1085] The server analyzes the input travel information and emotion data from the emotion engine to generate an optimal sightseeing route. Specifically, the server calculates the distance and estimated travel time between each visit point, and generates an efficient and emotion-appropriate route for the traveler by taking into account the priority of the visit points and the user's emotional state. For example, if the server recognizes that the user is tired, it shortens the route for that day and adjusts it to prioritize relaxing tourist spots.

[1086] The generated optimal route is sent to the device and displayed to the user. The user can review the proposed route and make corrections as necessary. For example, if the user wants to change the route order on the first day to "Tokyo Tower → Sensoji Temple," the correction information is resent from the device to the server. The server recalculates the optimal route and sends the corrected route information back to the device.

[1087] Once the user has finalized the route, the device will save this optimized route and provide navigation when the trip begins. Navigation will help the user to visit tourist spots along the proposed route through map display and voice instructions.

[1088] As a concrete example, consider the case where a user plans a "3-day trip to Tokyo (places to visit: Tokyo Tower, Sensoji Temple, Shinjuku Gyoen National Garden)." The user sets priorities for each place, the emotion engine analyzes the user's state of fatigue and excitement, and based on that information, the server can generate the following optimal route:

[1089] Day 1: Sensoji Temple → Tokyo Tower

[1090] Day 2: Shinjuku Gyoen

[1091] If the user checks the proposed route and wants to change the order on the first day to "Tokyo Tower → Sensoji Temple," the device sends the revised information back to the server, and the server calculates a new optimal route based on the revised information.

[1092] By taking into account the user's emotional state with the emotion engine, travelers can plan their trip optimally according to their mood at that moment, resulting in a more satisfying travel experience. This system is a breakthrough that saves time and effort and provides flexible travel planning.

[1093] The processing flow will be explained below.

[1094] Step 1:

[1095] User: Enter the area of ​​the destination and the number of days of the trip into the device. For example, enter "Tokyo" and "3 days."

[1096] Step 2:

[1097] User: Lists the places they want to visit and their priorities on their device. For example:

[1098] Tokyo Tower (High Priority)

[1099] Sensoji Temple (Medium Priority)

[1100] Shinjuku Gyoen National Garden (Priority: Low)

[1101] Step 3:

[1102] Device: Sends user input information (travel area, travel days, bucket list, priority) to the server. At the same time, collects data (voice input, facial expressions, text input, etc.) necessary for the emotion engine to analyze the user's current emotions.

[1103] Step 4:

[1104] Emotion engine: Analyzes collected data to identify the user's emotional state, for example, determining whether the user is tired or excited based on their tone of voice and facial expression.

[1105] Step 5:

[1106] Terminal: Sends emotion data obtained from the emotion engine to the server.

[1107] Step 6:

[1108] Server: Analyzes travel information and emotion data received from the device and temporarily stores them.

[1109] Step 7:

[1110] Server: Calculates distances and estimated travel times between each destination, using map data and traffic information.

[1111] Step 8:

[1112] Server: Generates an optimal sightseeing route by taking into account the priority of the places to visit, distance, travel time, and the user's emotional state. For example, if the user is tired, the server will shorten the travel distance and prioritize sightseeing spots where they can relax.

[1113] Step 9:

[1114] Server: Sends the generated optimal route information to the terminal.

[1115] Step 10:

[1116] Terminal: Displays the received optimal route to the user, who can review the proposed route and enter corrections if necessary.

[1117] Step 11:

[1118] User: If the user wants to make corrections to the proposed optimal route, they input the correction information into the terminal. For example, they change the route order on the first day to "Tokyo Tower → Sensoji Temple."

[1119] Step 12:

[1120] Terminal: Send the corrected route information to the server again.

[1121] Step 13:

[1122] Server: Recalculates the optimal route based on the revised information and generates a revised route.

[1123] Step 14:

[1124] Server: Sends the recalculated optimal route to the device.

[1125] Step 15:

[1126] Terminal: The revised optimal route is displayed to the user, who then confirms and confirms the final route.

[1127] Step 16:

[1128] Device: Stores final confirmed route and provides real-time navigation at the start of a trip. Navigation is provided through map display and voice instructions.

[1129] By taking into account the user's emotional state, the emotion engine increases the flexibility of travel plans, allowing travelers to enjoy sightseeing plans that suit their mood at the time. This system saves travelers time and effort, and provides a more comfortable and satisfying travel experience.

[1130] Example 2

[1131] Next, a description will be given of Example 2. In the following description, the data processing device 12 will be referred to as a "server" and the headset type terminal 314 will be referred to as a "terminal."

[1132] Conventional travel planning systems were able to optimize sightseeing routes based on a traveler's desired destinations and priorities, but they did not adjust routes taking into account the traveler's emotional state. This made it difficult to provide flexible travel plans that reflected the traveler's emotional and physical state, which could result in a decline in the quality of the trip. The present invention aims to solve this problem by providing a system that provides optimal sightseeing routes based on the traveler's emotional state.

[1133] The specification process by the specification processing unit 290 of the data processing device 12 in the second embodiment is realized by the following means. In this invention, the server includes a means for inputting the places that the traveler wants to visit and their priority, a means for transmitting the input data and the traveler's emotional data to the server, a means for calculating the distance and travel time between each visit point based on the data and emotional data received by the server and generating an optimal sightseeing route taking into account the priority and the traveler's emotional state, and a means for transmitting the generated optimal route to the traveler's terminal and displaying it. This makes it possible to provide a flexible travel plan that reflects the traveler's emotional state.

[1134] A "traveler" is a person who intends to visit a tourist spot or destination, and is a user of this system.

[1135] "Destinations" are geographical locations or tourist attractions that a traveler wishes to visit during their trip.

[1136] "Priority" is an index of the importance that a traveler assigns to a place they wish to visit, and indicates the order in which they would like to visit.

[1137] "Data" means any electronic form of information, including information entered by a traveler and information for analysis by the emotion engine.

[1138] "Emotion data" refers to information about the emotional state of a traveler analyzed by the emotion engine based on the traveler's voice data, facial expression data, and other physiological indicators.

[1139] "Server" is a computer system that receives and analyzes data and generates optimal tourist routes.

[1140] An "optimal tourist route" is a series of visit sequences that optimizes travel efficiency and traveler comfort, taking into account the places a tourist wants to visit, their priorities, and their emotional state.

[1141] "Terminal" refers to an electronic device, such as a smartphone or tablet, that a traveler uses to input information.

[1142] "Navigation" is a function that provides the traveler with the necessary directions and directions to reach the destination by following the generated tourist route.

[1143] This invention combines a system that automatically calculates and provides optimal sightseeing routes based on the traveler's input of the places they want to visit and their priorities with an emotion engine that recognizes the traveler's emotions. The system aims to provide flexible travel plans based on the traveler's emotions using the traveler's terminal and server.

[1144] First, the user inputs the destination area and number of days of travel into the device. The user also lists the places they want to visit and their priority on the device, and sets the priority for each place. For example, a user can plan a "3-day" trip to "Tokyo" and set the places they want to visit as "Tower (high priority)," "Temple (medium priority)," and "Park (low priority)."

[1145] Next, the device sends the input information (travel area, travel days, wish list, priority) to the server. In addition, the device sends the user's input information, voice, facial expression, etc. to the emotion engine so that the emotion engine can analyze the user's emotions. The emotion engine analyzes this data and understands the user's current emotional state.

[1146] The server analyzes the input travel information and emotion data from the emotion engine to generate an optimal sightseeing route. Specifically, the server calculates the distance and estimated travel time between each visit point, and generates an efficient and emotion-appropriate route for the traveler by taking into account the priority of the visit points and the user's emotional state. For example, if the emotion engine recognizes that the user is tired, it shortens the route for that day and prioritizes tourist spots where people can relax.

[1147] The generated optimal route is sent to the device and displayed to the user. The user can review the proposed route and make corrections if necessary. For example, if the user wants to change the route order on the first day to "Tower → Temple," the device resends the correction information to the server. The server then recalculates the optimal route and sends the corrected route information back to the device.

[1148] Once the user has finalized the route, the device will save this optimized route and provide navigation when the trip begins. Navigation will help the user to visit tourist spots along the proposed route through map display and voice instructions.

[1149] As a concrete example, consider the case where a user plans a "3-day trip to Tokyo (places to visit: towers, temples, parks)." The user sets priorities for each place, the emotion engine analyzes the user's fatigue and excitement levels, and based on that information, the server can generate the following optimal route:

[1150] Day 1: Temple → Tower

[1151] Day 2: The Park

[1152] If the user checks the proposed route and wants to change the order on the first day to "Tower → Temple," the device sends the revised information back to the server, and the server calculates a new optimal route based on the revised information.

[1153] By taking into account the user's emotional state with the emotion engine, travelers can plan their trip optimally according to their mood at that moment, resulting in a more satisfying travel experience. This system is a breakthrough that saves time and effort and provides flexible travel planning.

[1154] Example prompt sentence:

[1155] Example of travel plan input:

[1156] Travel destination area: Tokyo

[1157] Travel duration: 3 days

[1158] Places I want to visit: Tower (high priority), Temple (medium priority), Park (low priority)

[1159] Example of optimal route:

[1160] The suggested route is as follows:

[1161] Day 1: Temple → Tower

[1162] Day 2: The Park

[1163] The flow of the identification process in the second embodiment will be described with reference to FIG.

[1164] Step 1:

[1165] The user inputs travel plan information into the terminal. The user inputs the travel destination area, the number of days of travel, and the places they want to visit and their priority. The input information includes, for example, "Tokyo," "3 days," "Tower (high priority)," "Temple (medium priority)," and "Park (low priority)." The input data format is text.

[1166] Step 2:

[1167] The device sends the user's input information to the server. Specifically, the device sends the following data to the cloud-based server: "Travel destination area: Tokyo," "Travel duration: 3 days," "Places to visit: Tower, temple, park," and "Priority of each place: Tower (high), temple (medium), park (low)." The input is in text format, and the output is the data sent to the server.

[1168] Step 3:

[1169] The device sends the user's voice data and facial expression data to the emotion engine. When the user inputs their travel plans, the device uses a microphone and camera to collect voice and facial expression data. This data is sent to the emotion engine and processed as input.

[1170] Step 4:

[1171] The emotion engine analyzes the user's emotional state. The emotion engine analyzes the received voice data and facial expression data to identify the user's emotional state (e.g., tired, excited). This analysis is performed using machine learning algorithms. The input is voice and facial expression data, and the output is text data representing the user's emotional state.

[1172] Step 5:

[1173] The server calculates the optimal route for the travel plan. The server receives travel information (destination area, travel days, desired places to visit and their priority) and emotion data received from the emotion engine as input, and calculates the distance and travel time between each visit point based on this. Furthermore, it generates the optimal sightseeing route taking into account the priority of the visit points and the user's emotional state. For example, if the user is tired, the server will prioritize routes with shorter distances and places where they can relax. The input is travel information and emotion data, and the output is text data of the optimal sightseeing route.

[1174] Step 6:

[1175] The server sends the optimal route to the terminal. The server then sends the calculated optimal route in text data format to the terminal. For example, route information such as "Day 1: Temple → Tower" and "Day 2: Park" is sent to the terminal. The input is the text data of the optimal route, and the output is the data sent to the terminal.

[1176] Step 7:

[1177] The user checks the optimal route and inputs any necessary corrections into the terminal. For example, if the user wants to change the route order, they input "Change route order for day 1: Tower → Temple" into the terminal as input data. The input is the user's correction information, and the output is the corrected route information displayed on the terminal.

[1178] Step 8:

[1179] The terminal resends the corrected information to the server. The terminal sends the corrected information entered by the user to the server, and the server recalculates the optimal route. The input is the user's corrected information, and the output is the data sent to the server.

[1180] Step 9:

[1181] The server recalculates the revised optimal route and sends it to the terminal. The server recalculates the optimal route based on the revised information and sends the revised route to the terminal in text data format. The input is the revised information and the output is the revised optimal route.

[1182] Step 10:

[1183] The user finalizes the route. The device saves the final route information and provides navigation at the start of the trip. The navigation includes map display and voice instructions to help the user navigate the tourist spots along the proposed route. The input is the finalized route information, and the output is the saved navigation data.

[1184] (Application example 2)

[1185] Next, a description will be given of Application Example 2. In the following description, the data processing device 12 will be referred to as a "server" and the headset type terminal 314 will be referred to as a "terminal."

[1186] Conventional tourist route generation systems calculate routes based on a user's desired places to visit and their priorities. However, these systems lack the ability to flexibly adjust routes based on the user's emotions and physical condition, which hinders traveler satisfaction. In particular, autonomous vehicles require real-time adjustments based on the traveler's emotions to ensure both comfort and efficiency during travel. Therefore, it is crucial to provide a system that can flexibly plan trips while taking into account the user's emotional state.

[1187] The specific processing by the specific processing unit 290 of the data processing device 12 in the application example 2 is realized by the following means.

[1188] In this invention, the server includes: means for inputting places that a traveler wants to visit and their priority; means for transmitting the input information to the server; means for calculating the distance and travel time between each of the visit points based on the information received by the server and generating an optimal sightseeing route taking priority into consideration; an emotion recognition engine and calculation means for analyzing the user's emotion data based on the generated optimal route; means for flexibly adjusting the route taking into consideration the analysis results of the emotion recognition engine; and means for transmitting the generated optimal route to the traveler's terminal and displaying it. This enables travel planning that takes into consideration the user's emotional state and fatigue level, thereby increasing traveler satisfaction.

[1189] A "traveler's device" is a device capable of inputting and displaying information, such as a traveler's smartphone or personal digital assistant, or the infotainment system in an autonomous vehicle.

[1190] "Priority" refers to the importance or priority that a traveler assigns to a place they want to visit.

[1191] "Server" refers to a computer system that receives and processes data sent from travelers' terminals over a network.

[1192] An "emotion recognition engine" is software or hardware that analyzes a user's tone of voice, facial expressions, etc. to identify their current emotional state.

[1193] The "optimal tourist route" is the most efficient and comfortable travel route for the traveler, taking into consideration the desired places and priorities entered by the traveler, travel time, distance, and even the user's emotional data.

[1194] "Means for flexible adjustment" refers to technologies and methods that dynamically change the set tourist route in response to changes in the user's emotions and physical condition, and always provide the optimal route for the traveler.

[1195] "Navigation" means a system or function that provides directions, guidance, and map displays to a traveler to reach a destination along a selected travel route.

[1196] The system based on this invention allows a traveler to input the places they want to visit and their priority, and automatically generates an optimal sightseeing route that takes emotion data into consideration. The user's terminal is a device such as a smartphone or an infotainment system in an autonomous vehicle. Using this terminal, the user can input the places they want to visit and their priority. The terminal has a means for transmitting the input information to a server.

[1197] Based on the input information (desired places to visit, priority, number of travel days, etc.), the server calculates the distance and travel time between each visit point and generates an optimal sightseeing route taking priority into consideration. In this process, the server uses an emotion recognition engine to analyze the user's emotional data and identify the user's current emotional state from their voice and facial expression. Specifically, voice recognition software and facial expression analysis software function as the emotion engine to analyze the user's level of fatigue, excitement, etc.

[1198] Furthermore, the server has the means to flexibly adjust the generated sightseeing route, taking into account the analysis results of the emotion recognition engine. For example, if the user is tired or stressed, the server can shorten the route for that day or prioritize sightseeing spots where the user can relax. The adjusted optimal route is then sent back from the server to the user's device and displayed on the device.

[1199] The navigation system provides directions to help travelers reach their destinations based on local tourist routes, and is reflected in map displays, voice guidance, and even the routes of autonomous vehicles.

[1200] As a specific example, if a user wishes to visit "Tokyo Tower," "Sensoji Temple," and "Shinjuku Gyoen," and the emotion engine determines after input that the user is "tired," the route for the first day will be "Tokyo Tower → Sensoji Temple," and on the second day, a route to visit "Shinjuku Gyoen" will be automatically generated. The user can check this route within the application and change it as necessary.

[1201] An example of a prompt for a generative AI model is:

[1202] The user inputs the travel destination and sets its priority. Then, the user's voice and facial expressions are acquired, and the emotion data is analyzed using the emotion engine. Based on the results, the travel route is calculated.

[1203] In this way, the system can provide flexible travel plans that take into account the user's emotional state, thereby increasing traveler satisfaction.

[1204] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[1205] Step 1:

[1206] The user uses a smartphone or infotainment system to input the places they want to visit and their priority. The user also inputs the travel area and number of days, and this data is saved on the device. The input data includes a list of places they want to visit, their priority, and the number of days they want to travel.

[1207] input:

[1208] A list of places you would like to visit (e.g. Tokyo Tower, Sensoji Temple, Shinjuku Gyoen National Garden)

[1209] Priority (e.g. high, medium, low)

[1210] Travel days

[1211] output:

[1212] Data on desired destinations, priorities, and travel dates stored on your device

[1213] Step 2:

[1214] The device sends the user's input information to the server. Specifically, it is transferred to the server as JSON format data. The server receives this input information and stores it in a database.

[1215] input:

[1216] Input data sent from the terminal

[1217] output:

[1218] Input data stored on the server

[1219] Step 3:

[1220] The server activates an emotion recognition engine to capture and analyze the user's voice and facial expressions. The emotion recognition engine uses voice recognition software and facial expression analysis software to identify the user's emotional state.

[1221] input:

[1222] User voice data

[1223] User's facial expression data

[1224] output:

[1225] User emotional state data (e.g., tired, excited)

[1226] Step 4:

[1227] Based on the received input information and emotional state data, the server calculates the distance and travel time between each visit point, and generates an optimal sightseeing route taking into account the priority and emotional state. A route generation algorithm is used here.

[1228] input:

[1229] List of places you want to visit

[1230] priority

[1231] Travel days

[1232] Emotional state data

[1233] output:

[1234] Optimal tourist route data

[1235] Step 5:

[1236] The server sends the generated optimal sightseeing route to the user's device, which displays it. The user can check the proposed route and input corrections if necessary. The device then sends the corrected information back to the server.

[1237] input:

[1238] Optimal tourist route data

[1239] output:

[1240] The best sightseeing route displayed on your device

[1241] Corrected route data (if necessary)

[1242] Step 6:

[1243] The server recalculates the optimal route based on the revised information and sends the optimized route to the traveler's device, possibly using the emotion recognition engine again.

[1244] input:

[1245] Corrected route data

[1246] Emotional state data (if required)

[1247] output:

[1248] Re-optimized tourist route data

[1249] Step 7:

[1250] Finally, once the user has finalized the route, the device will save this optimized route and provide navigation when the trip begins. The navigation system will provide real-time map display and voice guidance on the spot.

[1251] input:

[1252] Final tourist route data

[1253] output:

[1254] Local navigation instructions

[1255] Map display

[1256] Audio guidance

[1257] The specific processing unit 290 transmits the result of the specific processing to the headset type terminal 314. In the headset type terminal 314, the control unit 46A causes the speaker 240 and the display 343 to output the result of the specific processing. The microphone 238 acquires audio indicating a user input regarding the result of the specific processing. The control unit 46A transmits audio data indicating the user input acquired by the microphone 238 to the data processing device 12. In the data processing device 12, the specific processing unit 290 acquires the audio data.

[1258] The data generation model 58 is a so-called generative AI (Artificial Intelligence). An example of the data generation model 58 is ChatGPT (Internet Search<URL: https: / / openai.com / blog / chatgpt> ), Gemini (Internet search <url: https: gemini.google.com ?hl="ja">) and other generation AIs. The data generation model 58 is obtained by performing deep learning on a neural network. A prompt including an instruction is input to the data generation model 58, and inference data such as voice data indicating voice, text data indicating text, and image data indicating an image is also input. The data generation model 58 performs inference on the input inference data in accordance with the instruction indicated by the prompt, and outputs the inference result in a data format such as voice data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization.

[1259] 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 the present disclosure is not limited to this, and the specific processing may be performed by the headset type terminal 314.

[1260] [Fourth embodiment]

[1261] FIG. 7 shows an example of the configuration of a data processing system 410 according to the fourth embodiment.

[1262] 7, a 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.

[1263] The data processing device 12 includes a computer 22, a database 24, and a communication I / F 26. The computer 22 is an example of a "computer" according to the technology of the present disclosure. The computer 22 includes a processor 28, a RAM 30, and a storage 32. The processor 28, the RAM 30, and the storage 32 are connected to a bus 34. The database 24 and the communication I / F 26 are also connected to the bus 34. The communication I / F 26 is connected to a network 54. Examples of the network 54 include a WAN (Wide Area Network) and / or a LAN (Local Area Network).

[1264] The robot 414 includes a computer 36, a microphone 238, a speaker 240, a camera 42, a communication I / F 44, and a control target 443. The computer 36 includes a processor 46, a RAM 48, and a storage 50. The processor 46, the RAM 48, and the storage 50 are connected to a bus 52. The microphone 238, the speaker 240, the camera 42, and the control target 443 are also connected to the bus 52.

[1265] The microphone 238 receives instructions and the like from the user 20 by receiving voice uttered by the user 20. The microphone 238 captures the voice uttered by the user 20, converts the captured voice into audio data, and outputs it to the processor 46. The speaker 240 outputs audio in accordance with instructions from the processor 46.

[1266] Camera 42 is a small digital camera equipped with an optical system including a lens, aperture, and shutter, and an imaging element such as a CMOS (Complementary Metal-Oxide-Semiconductor) image sensor or a CCD (Charge Coupled Device) image sensor, and captures images of the surroundings of user 20 (for example, an imaging range defined by an angle of view equivalent to the field of vision of a typical healthy person).

[1267] The communication I / F 44 is connected to a network 54. The communication I / Fs 44 and 26 are responsible for the exchange of various information between the processor 46 and the processor 28 via the network 54. The exchange of various information between the processor 46 and the processor 28 using the communication I / Fs 44 and 26 is carried out in a secure state.

[1268] The control object 443 includes a display device, LEDs in the eyes, and motors for driving 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 emotions of the robot 414 can be expressed by controlling these motors. In addition, the facial expressions of the robot 414 can also be expressed by controlling the light emission state of the LEDs in the eyes of the robot 414.

[1269] Fig. 8 shows an example of the main functions of the data processing device 12 and the robot 414. As shown in Fig. 8, in the data processing device 12, a specific process is performed by the processor 28. A specific process program 56 is stored in the storage 32.

[1270] The specific processing program 56 is an example of a "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 the processor 28 operating as a specific processing unit 290 in accordance with the specific processing program 56 executed on the RAM 30.

[1271] 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 identification processing unit 290.

[1272] In the robot 414, the processor 46 performs the reception output process. A reception output program 60 is stored in the storage 50. 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 process is realized by the processor 46 operating as the control unit 46A in accordance with the reception output program 60 executed on the RAM 48.

[1273] Next, a description will be given of the specific processing performed by the specific processing unit 290 of the data processing device 12. In the following description, the data processing device 12 will be referred to as a "server" and the robot 414 will be referred to as a "terminal."

[1274] This invention is a system that automatically calculates and provides optimal sightseeing routes based on the tourist's input of the places they want to visit and their priorities. This system utilizes the tourist's terminal and a server to improve the efficiency of travel planning.

[1275] First, the user inputs the area of ​​the travel destination and the number of days of the trip into the terminal. The user also lists the places they want to visit and their priority on the terminal, and sets the priority for each place. For example, a user can plan a "3-day" trip to "Tokyo" and set the places they want to visit as "Tokyo Tower (high priority), " "Sensoji Temple (medium priority)," and "Shinjuku Gyoen (low priority)."

[1276] Next, the device sends the input information (travel area, number of travel days, list of places to visit, priority) to the server. The server analyzes the received data and calculates the optimal sightseeing route. Specifically, the server calculates the distance and estimated travel time between each visit point, and generates an efficient route for the traveler, taking into account the priority of the visit points. For example, based on the user's input, the route for the first day could be "Sensoji Temple → Tokyo Tower" and for the second day, "Shinjuku Gyoen National Garden."

[1277] The optimal route generated by the server is sent to the device and displayed to the user. The user can review the proposed route and make corrections as necessary. For example, if the user wants to change the route order on the first day to "Tokyo Tower → Sensoji Temple," the correction information is resent from the device to the server. The server then recalculates the optimal route and sends the corrected route information back to the device.

[1278] Once the user has finalized the route, the device will save this optimized route and provide navigation when the trip begins. Navigation will help the user to visit tourist spots along the proposed route through map display and voice instructions.

[1279] As a concrete example, consider the case where a user plans a three-day trip to Tokyo (places to visit: Tokyo Tower, Sensoji Temple, Shinjuku Gyoen National Garden). The user sets priorities for each place and sends that information from the device to the server, which then generates the following optimal route based on the priorities:

[1280] Day 1: Sensoji Temple → Tokyo Tower

[1281] Day 2: Shinjuku Gyoen

[1282] If the user checks the proposed route and wants to change the order on the first day to "Tokyo Tower → Sensoji Temple," the device sends the revised information back to the server, and the server calculates a new optimal route based on the revised information.

[1283] This system allows travelers to use their time efficiently and effectively visit the tourist spots they want to visit. Furthermore, users can adjust their routes as needed during their trip, allowing for flexible travel plans.

[1284] The processing flow will be explained below.

[1285] Step 1:

[1286] User: Enter the area of ​​the destination and the number of days of the trip into the device. For example, enter "Tokyo" and "3 days."

[1287] Step 2:

[1288] User: Lists the places they want to visit and their priorities on their device. For example:

[1289] Tokyo Tower (High Priority)

[1290] Sensoji Temple (Medium Priority)

[1291] Shinjuku Gyoen National Garden (Priority: Low)

[1292] Step 3:

[1293] Terminal: Sends the entered travel area, number of travel days, list of places you want to visit, and priority to the server.

[1294] Step 4:

[1295] Server: Analyzes the received information and temporarily stores data based on the traveler's preferences.

[1296] Step 5:

[1297] Server: Calculates distances and estimated travel times between each destination, using map data and traffic information.

[1298] Step 6:

[1299] Server: Generates the optimal sightseeing route by taking into account the priority, distance, and travel time of the places to visit. For example, the route on the first day might be "Sensoji Temple → Tokyo Tower."

[1300] Step 7:

[1301] Server: Sends the generated optimal route information to the terminal.

[1302] Step 8:

[1303] Terminal: Displays the received optimal route to the user. The user confirms the proposed route.

[1304] Step 9:

[1305] User: If you want to make any changes to the proposed optimal route, enter the changes into the device. For example, change the order on the first day to "Tokyo Tower → Sensoji Temple."

[1306] Step 10:

[1307] Terminal: Send the corrected route information to the server again.

[1308] Step 11:

[1309] Server: Recalculate the optimal route based on the revised information and generate a revised route.

[1310] Step 12:

[1311] Server: Sends the recalculated optimal route to the device.

[1312] Step 13:

[1313] Terminal: The revised optimal route is displayed to the user, who then confirms and confirms the final route.

[1314] Step 14:

[1315] Device: Saves final confirmed route and provides real-time navigation at the start of a trip. Navigation is provided through map display and voice instructions.

[1316] Processing is carried out at each step in this way, providing travelers with the optimal sightseeing route tailored to their needs and enabling efficient travel planning.

[1317] Example 1

[1318] Next, a description will be given of Example 1. In the following description, the data processing device 12 will be referred to as a "server" and the robot 414 will be referred to as a "terminal."

[1319] Conventional travel planning systems require travelers to manually determine the places they want to visit and their priorities, and then manually plan the optimal sightseeing route, which requires a lot of time and effort. Another problem is that it is difficult to change routes, making it difficult to create flexible travel plans. The present invention aims to solve these problems and provide a system that allows travelers to efficiently create and flexibly change travel plans.

[1320] The specific processing by the specific processing unit 290 of the data processing device 12 in the first embodiment is realized by the following means.

[1321] In this invention, the server includes a device for inputting the places a traveler wants to visit and their priority, a device for transmitting the input information to an information processing device, a device for calculating the distance and travel time between each visit point based on the information received by the information processing device and generating an optimal sightseeing route taking the priority into consideration, a device for transmitting the generated optimal route to the traveler's display device and displaying it, and a device for providing navigation based on the optimal route saved at the start of the trip. This allows travelers to plan their trip efficiently and effectively and makes it easy to modify the route in real time.

[1322] A "tourist" is someone who visits a particular place for tourism, business, or other purposes.

[1323] "Places to visit" refers to locations that travelers wish to visit for sightseeing or sightseeing.

[1324] "Priority" refers to a criterion that indicates the importance or urgency of a destination that a traveler wishes to visit.

[1325] "Device" refers to a hardware or software component designed to perform a specific function.

[1326] "Information processing device" refers to a computer or server that receives, analyzes, calculates, and generates results from data.

[1327] "Display device" refers to a device that visually displays data transmitted from an information processing device. Examples include the screens of smartphones, tablets, and PCs.

[1328] "Navigation" refers to the function of providing travelers with the direction and location information they need to travel along a specific route.

[1329] "Distance" refers to the physical distance between two visit points.

[1330] "Travel Time" refers to the estimated time it takes to travel between two destinations.

[1331] A "route" refers to an optimized path for visiting multiple destinations in sequence.

[1332] This invention is a system that automatically calculates and provides optimal sightseeing routes based on the traveler's input of the places they want to visit and their priorities. This system utilizes the traveler's terminal and an information processing device (server) to improve the efficiency of travel planning.

[1333] First, the user inputs the area of ​​the travel destination and the number of days of the trip into the terminal. The user also lists the places they want to visit and their priorities on the terminal, and sets the priority for each place. For example, if the user plans a "3-day" trip to "City A," they can set the places they want to visit as "Location 1 (high priority)," "Location 2 (medium priority)," and "Location 3 (low priority)."

[1334] Next, the device sends the input information (travel area, number of travel days, list of places to visit, priority) to the server. The server analyzes the received data and calculates the optimal sightseeing route. Specifically, the server calculates the distance and estimated travel time between each visit point, and generates an efficient route for the traveler taking into account the priority of the visit points. To do this, the server obtains the distance and travel time using the Google Maps API and uses an optimization algorithm such as Dijkstra's Algorithm. For example, based on the user's input, the route for the first day could be "Location 2 → Location 1," and for the second day, "Location 3."

[1335] The optimal route generated by the server is sent to the device and displayed to the user. The user can review the proposed route and make corrections as necessary. For example, if the user wants to change the route order on the first day to "Location 1 → Location 2," the correction information is resent from the device to the server. The server then recalculates the optimal route and sends the corrected route information back to the device.

[1336] Finally, once the user has finalized the route, the device will save this optimized route and provide navigation when the trip begins, helping the user to visit the tourist spots along the proposed route through map display and voice instructions.

[1337] As a concrete example, consider the case where a user plans a three-day trip to City A (places to visit: Place 1, Place 2, Place 3). The user sets a priority for each place and sends that information from the device to the server. The server then generates the following optimal route based on the priority:

[1338] Day 1: Location 2 → Location 1

[1339] Day 2: Location 3

[1340] If the user checks the proposed route and decides to change the order of the first day from "Location 1 → Location 2," the device sends the revised information back to the server, which then calculates a new optimal route based on the revised information. This system allows travelers to use their time efficiently and effectively visit the tourist spots they want to visit. Furthermore, users can adjust the route as needed during their trip, allowing for flexible travel planning.

[1341] Example prompt sentence:

[1342] Enter the area you want to travel to and the number of days you want to travel. Then, list the places you want to visit and their priority. For example, enter "3 days in City A, Location 1 (high), Location 2 (medium), Location 3 (low)."

[1343] The flow of the identification process in the first embodiment will be described with reference to FIG.

[1344] Step 1:

[1345] User actions

[1346] Enter the area of ​​your destination and the number of days you wish to travel into the terminal.

[1347] Input: Destination area (e.g., "City A"), number of days (e.g., "3 days")

[1348] Specific operation: The user enters "City A" and "3 days" into the input fields of the terminal and clicks the "Next" button.

[1349] Output: Travel destination area and travel days data entered into the device

[1350] Step 2:

[1351] User actions

[1352] Set the places you want to visit and their priorities on your device.

[1353] Input: Locations you want to visit (e.g. "Location 1, Location 2, Location 3"), Priority (e.g. "High, Medium, Low")

[1354] Specific operation: The user enters "Location 1," "Location 2," and "Location 3" and their priorities "High," "Medium," and "Low" into the input fields on the device and clicks the "Add" button.

[1355] Output: A list of locations and priorities entered on the device

[1356] Step 3:

[1357] Processing performed by the device

[1358] The entered information (travel area, number of travel days, list of places to visit, priority) is sent to the server.

[1359] Input: Travel area, travel days, visit list, priority data entered on the device

[1360] Specific operation: The device compiles this data into JSON format and sends it to the server as a POST request.

[1361] Output: Trip information data sent to the server

[1362] Step 4:

[1363] Processing performed by the server

[1364] The received data is analyzed and the information in each field is extracted.

[1365] Input: JSON format travel information data received from the terminal

[1366] Specific operation: The server analyzes the data for "City A," "3 days," "Location 1 (high)," "Location 2 (medium)," and "Location 3 (low)," and stores it in each field.

[1367] Output: Analyzed travel area, travel days, list of places visited, priority data

[1368] Step 5:

[1369] Processing performed by the server

[1370] Calculates the distance and travel time between each visit point and generates the optimal tourist route taking priorities into account.

[1371] Input: Parsed destination list and priority data

[1372] Data processing / calculation: Using Google Maps API to obtain distances and travel times between each destination, and calculating the optimal route using Dijkstra's Algorithm

[1373] What it does: The server sends a request to the Google Maps API, gets distance and time information, and calculates the route using an optimization algorithm.

[1374] Output: Data on optimal tourist routes

[1375] Step 6:

[1376] Processing performed by the server

[1377] The calculated optimal route data is returned to the terminal.

[1378] Input: Data on optimal tourist routes

[1379] Specific operation: The server repackages this data in JSON format and sends it to the terminal as a POST request.

[1380] Output: Optimal route data sent to the device

[1381] Step 7:

[1382] Processing performed by the device

[1383] Analyzes the route data received from the server and displays it to the user.

[1384] Input: JSON data of the optimal route received from the server

[1385] Specific operation: The device displays "Day 1: Location 2 → Location 1, Day 2: Location 3" and the user confirms the content.

[1386] Output: Optimal route displayed to the user

[1387] Step 8:

[1388] User actions

[1389] Corrections to the optimum route are entered and the corrected information is retransmitted from the terminal to the server.

[1390] Input: Revised route information (e.g., change "Day 1: Location 1 → Location 2")

[1391] Specific operation: The user enters the correction information on the terminal, clicks the "Resend" button, and the terminal sends the corrected data to the server.

[1392] Output: Corrected data sent to the server

[1393] Step 9:

[1394] Processing performed by the server

[1395] The optimal route is recalculated based on the revised information, and the new route is sent to the terminal.

[1396] Input: Corrected route information

[1397] Data processing / calculation: Again, we use the Google Maps API to calculate a new route based on the revised route (using Dijkstra's Algorithm).

[1398] Specific operation: The server analyzes the correction information, calculates a new route, and sends it to the device.

[1399] Output: Recalculated optimal route data

[1400] Step 10:

[1401] User actions

[1402] After checking the route, confirm the route and save it to your device.

[1403] Input: Final route information

[1404] Specific operation: The user clicks the "Confirm" button and the device saves the final route.

[1405] Output: Final route saved on the device

[1406] Step 11:

[1407] Processing performed by the device

[1408] When starting a trip, it provides navigation based on saved routes.

[1409] Input: Saved last route information

[1410] Specific operation: The device navigates through map display and voice instructions, such as "Day 1: Location 1 → Location 2, Day 2: Location 3."

[1411] Output: Navigation information provided

[1412] (Application example 1)

[1413] Next, a description will be given of Application Example 1. In the following description, the data processing device 12 will be referred to as a "server" and the robot 414 will be referred to as a "terminal."

[1414] Conventional tourist route guidance systems simply generate and display the optimal route based on the places to visit and priorities entered by the user. However, when travelers actually visit tourist spots, they need a means of transportation that allows them to travel efficiently. Furthermore, without the ability to modify or adjust routes in real time, it is difficult to realize flexible travel plans, which can lead to many inconveniences. Therefore, there is a need for a system that allows travelers to easily change the optimal route and travel flexibly in conjunction with their means of transportation.

[1415] The specific processing by the specific processing unit 290 of the data processing device 12 in the application example 1 is realized by the following means.

[1416] In this invention, the server includes a means for inputting places that a traveler wants to visit and their priority, a means for transmitting the input information to the server, a means for calculating the distance and travel time between each visit point based on the information received by the server and generating an optimal tourist route taking priority into consideration, a means for transmitting and displaying the generated optimal route to the traveler's terminal, and a means for linking the generated optimal route with an autonomous transport vehicle to support the traveler's movement. This allows travelers to travel around tourist spots efficiently, and enables route adjustments in real time and linkage with transportation means.

[1417] "Tourists" are people who visit a particular region or place for the purpose of sightseeing or travel.

[1418] "Places to visit" are locations or destinations that travelers want to visit when sightseeing or traveling.

[1419] "Priority" refers to the relative importance of a place that a traveler wants to visit, indicating which of the places they want to visit first or which is more important.

[1420] A "server" is a type of computer system that receives, analyzes, and sends data over a network.

[1421] An "optimal tourist route" is a route that allows for efficient and effective sightseeing, calculated taking into account the priority, distance, and travel time of the places you want to visit.

[1422] A "terminal" is a device (such as a smartphone or tablet) that a user uses to input and receive information.

[1423] "Autonomous driving transport equipment" refers to a means of transportation equipped with self-driving technology (such as an autonomous vehicle or robotic transport device).

[1424] A "generative AI model" is an artificial intelligence technology that learns from large amounts of data and generates optimal output.

[1425] "Means for entering real-time corrections" means an interface or functionality that allows a user to instantly change routes or update information during a trip.

[1426] "Navigation" refers to a system that provides route guidance and directions to help users reach their destination efficiently.

[1427] This invention is a system that automatically calculates and provides optimal sightseeing routes based on the tourist's input of the places they want to visit and their priorities. This system utilizes the tourist's terminal and a server to improve the efficiency of travel planning.

[1428] System Configuration

[1429] The traveler's device is a smartphone, tablet, or the like, and provides an interface for the traveler to input the places they want to visit and their priorities.

[1430] The server receives the input information, analyzes the data, and performs calculations to calculate the optimal sightseeing route.

[1431] Autonomous transport equipment (autonomous vehicles and robotic transportation devices) will support travelers' movements based on generated optimal routes, enabling efficient tourism.

[1432] Program processing

[1433] 1. Traveler input

[1434] On the terminal, the traveler inputs the area of ​​the travel destination, the number of days of the trip, the places they want to visit, and their priority. For example, the travel destination is "City A," the number of days of the trip is "3 days," and the places they want to visit are set as "Point 1 (high priority)," "Point 2 (medium priority)," and "Point 3 (low priority)."

[1435] 2. Data transmission and analysis

[1436] The device sends the input information to the server, which analyzes the received data and calculates the distance and travel time between each destination.

[1437] 3. Generating the optimal route

[1438] The server generates an efficient sightseeing route by taking into account the priority of the visited points. For example, the route on the first day is "Point 1 → Point 2," and the route on the second day is "Point 3."

[1439] 4. Providing navigation

[1440] The generated optimal route is sent to the traveler's device and displayed, and the route is also linked to the autonomous transport vehicle to provide on-site navigation.

[1441] 5. Real-time corrections

[1442] If a traveler wants to modify the route during the trip, they input the modified information into the terminal and send it back to the server. The server then recalculates the optimal route based on the modified information and sends the new information to the terminal.

[1443] Hardware and Software

[1444] Device: Smartphone or tablet (e.g. iPhone, iPad, Android device)

[1445] Server: A computer system that receives, analyzes, and sends data over a network (e.g., an AWS EC2 instance).

[1446] Autonomous transport equipment: Self-driving cars and robotic transport devices

[1447] Examples and prompts

[1448] Example: When a user plans a three-day trip to "City A" (desired places to visit: Point 1, Point 2, Point 3), the server analyzes and generates the optimal route, presenting the route "Point 1 → Point 2" on the first day and "Point 3" on the second day. If the traveler wants to change the route order on the first day to "Point 2 → Point 1," the traveler can resend the correction information from the device, and the server will recalculate and present a new route.

[1449] Example prompts: "What area are you traveling to?" "Make a list of places you'd like to visit. Be sure to prioritize them."

[1450] In this way, it is possible to realize a system that calculates the optimal route in real time based on the information entered by travelers and supports efficient tourism by linking with self-driving cars.

[1451] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[1452] Step 1:

[1453] Users enter the places they want to visit and their priorities

[1454] Input: The user inputs the area of ​​the travel destination, the number of days of travel, the places they want to visit, and their priority on their device (smartphone or tablet).

[1455] Behavior: Provides an input form using a user interface, and also performs format checks and validation of input data to ensure there are no errors.

[1456] Output: User-entered data on places they want to visit, their priority, travel days, and travel area.

[1457] Step 2:

[1458] The device sends data to the server

[1459] Input: User-entered data on the area of ​​the destination, the number of days of travel, the places they want to visit and their priority.

[1460] How it works: The device sends this data to the server as an HTTP request, for example, using a REST API to send the data to the server in JSON format.

[1461] Output: The transmitted data is received by the server.

[1462] Step 3:

[1463] The server analyzes the data and generates the optimal sightseeing route.

[1464] Input: Data sent from the device about the area of ​​the travel destination, the number of days of travel, the places you want to visit and their priority.

[1465] How it works: The server analyzes the data and calculates the distance and travel time between each destination. The algorithm considers priorities and generates an efficient sightseeing route. It also calculates the optimal route using a network graph library.

[1466] Output: The generated optimal tourist route (e.g., "Point 1 → Point 2", "Point 3").

[1467] Step 4:

[1468] The generated optimal route is sent to the device and displayed.

[1469] Input: Data of optimal tourist routes generated on the server.

[1470] How it works: The server sends the generated route in JSON format to the device. The device receives it and provides an interface to display it. A map view and a list of places to visit are visually presented to the traveler.

[1471] Output: The optimal sightseeing route displayed on the device.

[1472] Step 5:

[1473] Linking with automated transport equipment to support mobility

[1474] Input: Data of the generated optimal tourist route.

[1475] Operation: The server or terminal passes the optimal route to the autonomous transport device. The autonomous transport device follows the instructed route, activates its autonomous driving system, and guides the traveler to the destination.

[1476] Output: Efficient on-site transportation using autonomous transport equipment.

[1477] Step 6:

[1478] User enters route correction information

[1479] Input: Data about the route the user wants to modify on the device or the new places they want to visit.

[1480] Operation: The terminal sends the correction information entered by the user back to the server. Correction comments and changes to priority are also made here.

[1481] Output: The correction information is sent to the server.

[1482] Step 7:

[1483] The server recalculates the optimal route based on the revised information

[1484] Input: Correction information sent from the terminal.

[1485] How it works: The server analyzes the corrections, recalculates distance and travel time, and generates a new, optimized route. It can also use generative AI models to provide a more accurate route.

[1486] Output: The newly generated optimal route.

[1487] Step 8:

[1488] Send the modified route to the device and display it.

[1489] Input: The modified optimal route data generated on the server.

[1490] How it works: The server sends this data to the device, which receives it and displays it to the user, and also provides an interface for updating the map display and the list of places to visit.

[1491] Output: The revised optimal sightseeing route displayed on the device.

[1492] In this way, a system will be built that provides optimal tourist routes based on traveler input data, allows for real-time adjustments during travel, and enables integration with autonomous transport vehicles.

[1493] Furthermore, an emotion engine that estimates the user's emotion may be further combined. That is, the identification processing unit 290 may estimate the user's emotion using the emotion identification model 59, and perform identification processing using the user's emotion.

[1494] This invention combines a system that automatically calculates and provides optimal sightseeing routes by allowing travelers to input the places they want to visit and their priorities, with an emotion engine that recognizes the user's emotions. This system utilizes the travelers' terminals and a server to provide flexible travel plans based on their emotions.

[1495] First, the user inputs the area of ​​the travel destination and the number of days of the trip into the terminal. The user also lists the places they want to visit and their priority on the terminal, and sets the priority for each place. For example, a user can plan a "3-day" trip to "Tokyo" and set the places they want to visit as "Tokyo Tower (high priority), " "Sensoji Temple (medium priority)," and "Shinjuku Gyoen (low priority)."

[1496] Next, the device sends the input information (travel area, travel days, wish list, priority) to the server. In addition, the device sends the user's input information, voice, facial expression, etc. to the emotion engine so that the emotion engine can analyze the user's emotions. The emotion engine analyzes this data and understands the user's current emotional state.

[1497] The server analyzes the input travel information and emotion data from the emotion engine to generate an optimal sightseeing route. Specifically, the server calculates the distance and estimated travel time between each visit point, and generates an efficient and emotion-appropriate route for the traveler by taking into account the priority of the visit points and the user's emotional state. For example, if the server recognizes that the user is tired, it shortens the route for that day and adjusts it to prioritize relaxing tourist spots.

[1498] The generated optimal route is sent to the device and displayed to the user. The user can review the proposed route and make corrections as necessary. For example, if the user wants to change the route order on the first day to "Tokyo Tower → Sensoji Temple," the correction information is resent from the device to the server. The server recalculates the optimal route and sends the corrected route information back to the device.

[1499] Once the user has finalized the route, the device will save this optimized route and provide navigation when the trip begins. Navigation will help the user to visit tourist spots along the proposed route through map display and voice instructions.

[1500] As a concrete example, consider the case where a user plans a "3-day trip to Tokyo (places to visit: Tokyo Tower, Sensoji Temple, Shinjuku Gyoen National Garden)." The user sets priorities for each place, the emotion engine analyzes the user's state of fatigue and excitement, and based on that information, the server can generate the following optimal route:

[1501] Day 1: Sensoji Temple → Tokyo Tower

[1502] Day 2: Shinjuku Gyoen

[1503] If the user checks the proposed route and wants to change the order on the first day to "Tokyo Tower → Sensoji Temple," the device sends the revised information back to the server, and the server calculates a new optimal route based on the revised information.

[1504] By taking into account the user's emotional state with the emotion engine, travelers can plan their trip optimally according to their mood at that moment, resulting in a more satisfying travel experience. This system is a breakthrough that saves time and effort and provides flexible travel planning.

[1505] The processing flow will be explained below.

[1506] Step 1:

[1507] User: Enter the area of ​​the destination and the number of days of the trip into the device. For example, enter "Tokyo" and "3 days."

[1508] Step 2:

[1509] User: Lists the places they want to visit and their priorities on their device. For example:

[1510] Tokyo Tower (High Priority)

[1511] Sensoji Temple (Medium Priority)

[1512] Shinjuku Gyoen National Garden (Priority: Low)

[1513] Step 3:

[1514] Device: Sends user input information (travel area, travel days, bucket list, priority) to the server. At the same time, collects data (voice input, facial expressions, text input, etc.) necessary for the emotion engine to analyze the user's current emotions.

[1515] Step 4:

[1516] Emotion engine: Analyzes collected data to identify the user's emotional state, for example, determining whether the user is tired or excited based on their tone of voice and facial expression.

[1517] Step 5:

[1518] Terminal: Sends emotion data obtained from the emotion engine to the server.

[1519] Step 6:

[1520] Server: Analyzes travel information and emotion data received from the device and temporarily stores them.

[1521] Step 7:

[1522] Server: Calculates distances and estimated travel times between each destination, using map data and traffic information.

[1523] Step 8:

[1524] Server: Generates an optimal sightseeing route by taking into account the priority of the places to visit, distance, travel time, and the user's emotional state. For example, if the user is tired, the server will shorten the travel distance and prioritize sightseeing spots where they can relax.

[1525] Step 9:

[1526] Server: Sends the generated optimal route information to the terminal.

[1527] Step 10:

[1528] Terminal: Displays the received optimal route to the user, who can review the proposed route and enter corrections if necessary.

[1529] Step 11:

[1530] User: If the user wants to make corrections to the proposed optimal route, they input the correction information into the terminal. For example, they change the route order on the first day to "Tokyo Tower → Sensoji Temple."

[1531] Step 12:

[1532] Terminal: Send the corrected route information to the server again.

[1533] Step 13:

[1534] Server: Recalculates the optimal route based on the revised information and generates a revised route.

[1535] Step 14:

[1536] Server: Sends the recalculated optimal route to the device.

[1537] Step 15:

[1538] Terminal: The revised optimal route is displayed to the user, who then confirms and confirms the final route.

[1539] Step 16:

[1540] Device: Stores final confirmed route and provides real-time navigation at the start of a trip. Navigation is provided through map display and voice instructions.

[1541] By taking into account the user's emotional state, the emotion engine increases the flexibility of travel plans, allowing travelers to enjoy sightseeing plans that suit their mood at the time. This system saves travelers time and effort, and provides a more comfortable and satisfying travel experience.

[1542] Example 2

[1543] Next, a description will be given of Example 2. In the following description, the data processing device 12 will be referred to as a "server" and the robot 414 will be referred to as a "terminal."

[1544] Conventional travel planning systems were able to optimize sightseeing routes based on a traveler's desired destinations and priorities, but they did not adjust routes taking into account the traveler's emotional state. This made it difficult to provide flexible travel plans that reflected the traveler's emotional and physical state, which could result in a decline in the quality of the trip. The present invention aims to solve this problem by providing a system that provides optimal sightseeing routes based on the traveler's emotional state.

[1545] The specification process by the specification processing unit 290 of the data processing device 12 in the second embodiment is realized by the following means. In this invention, the server includes a means for inputting the places that the traveler wants to visit and their priority, a means for transmitting the input data and the traveler's emotional data to the server, a means for calculating the distance and travel time between each visit point based on the data and emotional data received by the server and generating an optimal sightseeing route taking into account the priority and the traveler's emotional state, and a means for transmitting the generated optimal route to the traveler's terminal and displaying it. This makes it possible to provide a flexible travel plan that reflects the traveler's emotional state.

[1546] A "traveler" is a person who intends to visit a tourist spot or destination, and is a user of this system.

[1547] "Destinations" are geographical locations or tourist attractions that a traveler wishes to visit during their trip.

[1548] "Priority" is an index of the importance that a traveler assigns to a place they wish to visit, and indicates the order in which they would like to visit.

[1549] "Data" means any electronic form of information, including information entered by a traveler and information for analysis by the emotion engine.

[1550] "Emotion data" refers to information about the emotional state of a traveler analyzed by the emotion engine based on the traveler's voice data, facial expression data, and other physiological indicators.

[1551] "Server" is a computer system that receives and analyzes data and generates optimal tourist routes.

[1552] An "optimal tourist route" is a series of visit sequences that optimizes travel efficiency and traveler comfort, taking into account the places a tourist wants to visit, their priorities, and their emotional state.

[1553] "Terminal" refers to an electronic device, such as a smartphone or tablet, that a traveler uses to input information.

[1554] "Navigation" is a function that provides the traveler with the necessary directions and directions to reach the destination by following the generated tourist route.

[1555] This invention combines a system that automatically calculates and provides optimal sightseeing routes based on the traveler's input of the places they want to visit and their priorities with an emotion engine that recognizes the traveler's emotions. The system aims to provide flexible travel plans based on the traveler's emotions using the traveler's terminal and server.

[1556] First, the user inputs the destination area and number of days of travel into the device. The user also lists the places they want to visit and their priority on the device, and sets the priority for each place. For example, a user can plan a "3-day" trip to "Tokyo" and set the places they want to visit as "Tower (high priority)," "Temple (medium priority)," and "Park (low priority)."

[1557] Next, the device sends the input information (travel area, travel days, wish list, priority) to the server. In addition, the device sends the user's input information, voice, facial expression, etc. to the emotion engine so that the emotion engine can analyze the user's emotions. The emotion engine analyzes this data and understands the user's current emotional state.

[1558] The server analyzes the input travel information and emotion data from the emotion engine to generate an optimal sightseeing route. Specifically, the server calculates the distance and estimated travel time between each visit point, and generates an efficient and emotion-appropriate route for the traveler by taking into account the priority of the visit points and the user's emotional state. For example, if the emotion engine recognizes that the user is tired, it shortens the route for that day and prioritizes tourist spots where people can relax.

[1559] The generated optimal route is sent to the device and displayed to the user. The user can review the proposed route and make corrections if necessary. For example, if the user wants to change the route order on the first day to "Tower → Temple," the device resends the correction information to the server. The server then recalculates the optimal route and sends the corrected route information back to the device.

[1560] Once the user has finalized the route, the device will save this optimized route and provide navigation when the trip begins. Navigation will help the user to visit tourist spots along the proposed route through map display and voice instructions.

[1561] As a concrete example, consider the case where a user plans a "3-day trip to Tokyo (places to visit: towers, temples, parks)." The user sets priorities for each place, the emotion engine analyzes the user's fatigue and excitement levels, and based on that information, the server can generate the following optimal route:

[1562] Day 1: Temple → Tower

[1563] Day 2: The Park

[1564] If the user checks the proposed route and wants to change the order on the first day to "Tower → Temple," the device sends the revised information back to the server, and the server calculates a new optimal route based on the revised information.

[1565] By taking into account the user's emotional state with the emotion engine, travelers can plan their trip optimally according to their mood at that moment, resulting in a more satisfying travel experience. This system is a breakthrough that saves time and effort and provides flexible travel planning.

[1566] Example prompt sentence:

[1567] Example of travel plan input:

[1568] Travel destination area: Tokyo

[1569] Travel duration: 3 days

[1570] Places I want to visit: Tower (high priority), Temple (medium priority), Park (low priority)

[1571] Example of optimal route:

[1572] The suggested route is as follows:

[1573] Day 1: Temple → Tower

[1574] Day 2: The Park

[1575] The flow of the identification process in the second embodiment will be described with reference to FIG.

[1576] Step 1:

[1577] The user inputs travel plan information into the terminal. The user inputs the travel destination area, the number of days of travel, and the places they want to visit and their priority. The input information includes, for example, "Tokyo," "3 days," "Tower (high priority)," "Temple (medium priority)," and "Park (low priority)." The input data format is text.

[1578] Step 2:

[1579] The device sends the user's input information to the server. Specifically, the device sends the following data to the cloud-based server: "Travel destination area: Tokyo," "Travel duration: 3 days," "Places to visit: Tower, temple, park," and "Priority of each place: Tower (high), temple (medium), park (low)." The input is in text format, and the output is the data sent to the server.

[1580] Step 3:

[1581] The device sends the user's voice data and facial expression data to the emotion engine. When the user inputs their travel plans, the device uses a microphone and camera to collect voice and facial expression data. This data is sent to the emotion engine and processed as input.

[1582] Step 4:

[1583] The emotion engine analyzes the user's emotional state. The emotion engine analyzes the received voice data and facial expression data to identify the user's emotional state (e.g., tired, excited). This analysis is performed using machine learning algorithms. The input is voice and facial expression data, and the output is text data representing the user's emotional state.

[1584] Step 5:

[1585] The server calculates the optimal route for the travel plan. The server receives travel information (destination area, travel days, desired places to visit and their priority) and emotion data received from the emotion engine as input, and calculates the distance and travel time between each visit point based on this. Furthermore, it generates the optimal sightseeing route taking into account the priority of the visit points and the user's emotional state. For example, if the user is tired, the server will prioritize routes with shorter distances and places where they can relax. The input is travel information and emotion data, and the output is text data of the optimal sightseeing route.

[1586] Step 6:

[1587] The server sends the optimal route to the terminal. The server then sends the calculated optimal route in text data format to the terminal. For example, route information such as "Day 1: Temple → Tower" and "Day 2: Park" is sent to the terminal. The input is the text data of the optimal route, and the output is the data sent to the terminal.

[1588] Step 7:

[1589] The user checks the optimal route and inputs any necessary corrections into the terminal. For example, if the user wants to change the route order, they input "Change route order for day 1: Tower → Temple" into the terminal as input data. The input is the user's correction information, and the output is the corrected route information displayed on the terminal.

[1590] Step 8:

[1591] The terminal resends the corrected information to the server. The terminal sends the corrected information entered by the user to the server, and the server recalculates the optimal route. The input is the user's corrected information, and the output is the data sent to the server.

[1592] Step 9:

[1593] The server recalculates the revised optimal route and sends it to the terminal. The server recalculates the optimal route based on the revised information and sends the revised route to the terminal in text data format. The input is the revised information and the output is the revised optimal route.

[1594] Step 10:

[1595] The user finalizes the route. The device saves the final route information and provides navigation at the start of the trip. The navigation includes map display and voice instructions to help the user navigate the tourist spots along the proposed route. The input is the finalized route information, and the output is the saved navigation data.

[1596] (Application example 2)

[1597] Next, a description will be given of Application Example 2. In the following description, the data processing device 12 will be referred to as a "server" and the robot 414 will be referred to as a "terminal."

[1598] Conventional tourist route generation systems calculate routes based on a user's desired places to visit and their priorities. However, these systems lack the ability to flexibly adjust routes based on the user's emotions and physical condition, which hinders traveler satisfaction. In particular, autonomous vehicles require real-time adjustments based on the traveler's emotions to ensure both comfort and efficiency during travel. Therefore, it is crucial to provide a system that can flexibly plan trips while taking into account the user's emotional state.

[1599] The specific processing by the specific processing unit 290 of the data processing device 12 in the application example 2 is realized by the following means.

[1600] In this invention, the server includes: means for inputting places that a traveler wants to visit and their priority; means for transmitting the input information to the server; means for calculating the distance and travel time between each of the visit points based on the information received by the server and generating an optimal sightseeing route taking priority into consideration; an emotion recognition engine and calculation means for analyzing the user's emotion data based on the generated optimal route; means for flexibly adjusting the route taking into consideration the analysis results of the emotion recognition engine; and means for transmitting the generated optimal route to the traveler's terminal and displaying it. This enables travel planning that takes into consideration the user's emotional state and fatigue level, thereby increasing traveler satisfaction.

[1601] A "traveler's device" is a device capable of inputting and displaying information, such as a traveler's smartphone or personal digital assistant, or the infotainment system in an autonomous vehicle.

[1602] "Priority" refers to the importance or priority that a traveler assigns to a place they want to visit.

[1603] "Server" refers to a computer system that receives and processes data sent from travelers' terminals over a network.

[1604] An "emotion recognition engine" is software or hardware that analyzes a user's tone of voice, facial expressions, etc. to identify their current emotional state.

[1605] The "optimal tourist route" is the most efficient and comfortable travel route for the traveler, taking into consideration the desired places and priorities entered by the traveler, travel time, distance, and even the user's emotional data.

[1606] "Means for flexible adjustment" refers to technologies and methods that dynamically change the set tourist route in response to changes in the user's emotions and physical condition, and always provide the optimal route for the traveler.

[1607] "Navigation" means a system or function that provides directions, guidance, and map displays to a traveler to reach a destination along a selected travel route.

[1608] The system based on this invention allows a traveler to input the places they want to visit and their priority, and automatically generates an optimal sightseeing route that takes emotion data into consideration. The user's terminal is a device such as a smartphone or an infotainment system in an autonomous vehicle. Using this terminal, the user can input the places they want to visit and their priority. The terminal has a means for transmitting the input information to a server.

[1609] Based on the input information (desired places to visit, priority, number of travel days, etc.), the server calculates the distance and travel time between each visit point and generates an optimal sightseeing route taking priority into consideration. In this process, the server uses an emotion recognition engine to analyze the user's emotional data and identify the user's current emotional state from their voice and facial expression. Specifically, voice recognition software and facial expression analysis software function as the emotion engine to analyze the user's level of fatigue, excitement, etc.

[1610] Furthermore, the server has the means to flexibly adjust the generated sightseeing route, taking into account the analysis results of the emotion recognition engine. For example, if the user is tired or stressed, the server can shorten the route for that day or prioritize sightseeing spots where the user can relax. The adjusted optimal route is then sent back from the server to the user's device and displayed on the device.

[1611] The navigation system provides directions to help travelers reach their destinations based on local tourist routes, and is reflected in map displays, voice guidance, and even the routes of autonomous vehicles.

[1612] As a specific example, if a user wishes to visit "Tokyo Tower," "Sensoji Temple," and "Shinjuku Gyoen," and the emotion engine determines after input that the user is "tired," the route for the first day will be "Tokyo Tower → Sensoji Temple," and on the second day, a route to visit "Shinjuku Gyoen" will be automatically generated. The user can check this route within the application and change it as necessary.

[1613] An example of a prompt for a generative AI model is:

[1614] The user inputs the travel destination and sets its priority. Then, the user's voice and facial expressions are acquired, and the emotion data is analyzed using the emotion engine. Based on the results, the travel route is calculated.

[1615] In this way, the system can provide flexible travel plans that take into account the user's emotional state, thereby increasing traveler satisfaction.

[1616] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[1617] Step 1:

[1618] The user uses a smartphone or infotainment system to input the places they want to visit and their priority. The user also inputs the travel area and number of days, and this data is saved on the device. The input data includes a list of places they want to visit, their priority, and the number of days they want to travel.

[1619] input:

[1620] A list of places you would like to visit (e.g. Tokyo Tower, Sensoji Temple, Shinjuku Gyoen National Garden)

[1621] Priority (e.g. high, medium, low)

[1622] Travel days

[1623] output:

[1624] Data on desired destinations, priorities, and travel dates stored on your device

[1625] Step 2:

[1626] The device sends the user's input information to the server. Specifically, it is transferred to the server as JSON format data. The server receives this input information and stores it in a database.

[1627] input:

[1628] Input data sent from the terminal

[1629] output:

[1630] Input data stored on the server

[1631] Step 3:

[1632] The server activates an emotion recognition engine to capture and analyze the user's voice and facial expressions. The emotion recognition engine uses voice recognition software and facial expression analysis software to identify the user's emotional state.

[1633] input:

[1634] User voice data

[1635] User's facial expression data

[1636] output:

[1637] User emotional state data (e.g., tired, excited)

[1638] Step 4:

[1639] Based on the received input information and emotional state data, the server calculates the distance and travel time between each visit point, and generates an optimal sightseeing route taking into account the priority and emotional state. A route generation algorithm is used here.

[1640] input:

[1641] List of places you want to visit

[1642] priority

[1643] Travel days

[1644] Emotional state data

[1645] output:

[1646] Optimal tourist route data

[1647] Step 5:

[1648] The server sends the generated optimal sightseeing route to the user's device, which displays it. The user can check the proposed route and input corrections if necessary. The device then sends the corrected information back to the server.

[1649] input:

[1650] Optimal tourist route data

[1651] output:

[1652] The best sightseeing route displayed on your device

[1653] Corrected route data (if necessary)

[1654] Step 6:

[1655] The server recalculates the optimal route based on the revised information and sends the optimized route to the traveler's device, possibly using the emotion recognition engine again.

[1656] input:

[1657] Corrected route data

[1658] Emotional state data (if required)

[1659] output:

[1660] Re-optimized tourist route data

[1661] Step 7:

[1662] Finally, once the user has finalized the route, the device will save this optimized route and provide navigation when the trip begins. The navigation system will provide real-time map display and voice guidance on the spot.

[1663] input:

[1664] Final tourist route data

[1665] output:

[1666] Local navigation instructions

[1667] Map display

[1668] Audio guidance

[1669] 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 control target 443 to output the result of the specific processing. The microphone 238 acquires voice indicating a user input regarding the result of the specific processing. The control unit 46A transmits voice data indicating the user input acquired by the microphone 238 to the data processing device 12. In the data processing device 12, the specific processing unit 290 acquires the voice data.

[1670] The data generation model 58 is a so-called generative AI (Artificial Intelligence). An example of the data generation model 58 is ChatGPT (Internet Search<URL: https: / / openai.com / blog / chatgpt> ), Gemini (Internet search <url: https: gemini.google.com ?hl="ja">) and other generation AIs. The data generation model 58 is obtained by performing deep learning on a neural network. A prompt including an instruction is input to the data generation model 58, and inference data such as voice data indicating voice, text data indicating text, and image data indicating an image is also input. The data generation model 58 performs inference on the input inference data in accordance with the instruction indicated by the prompt, and outputs the inference result in a data format such as voice data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization.

[1671] 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 the present disclosure is not limited to this, and the specific processing may be performed by the robot 414.

[1672] The emotion identification model 59 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 an emotion map (see FIG. 9), which is a specific mapping. Similarly, the emotion identification model 59 may determine the robot's emotion, and the identification processing unit 290 may perform identification processing using the robot's emotion.

[1673] FIG. 9 illustrates an emotion map 400 on which multiple emotions are mapped. In the emotion map 400, emotions are arranged in concentric circles radiating from the center. Emotions closer to the center of the concentric circles are more primitive. Emotions representing states and behaviors arising from a state of mind are arranged on the outer edges of the concentric circles. The concept of emotion includes both affect and mental states. Emotions generally generated from reactions occurring in the brain are arranged on the left side of the concentric circles. Emotions generally induced by situational judgment are arranged on the right side of the concentric circles. Emotions generally generated from reactions occurring in the brain and induced by situational judgment are arranged on the upper and lower sides of the concentric circles. Furthermore, the emotion of "pleasure" is arranged on the upper side of the concentric circles, and the emotion of "discomfort" is arranged on the lower side. In this way, in the emotion map 400, multiple emotions are mapped based on the structure by which emotions are generated, and emotions that tend to occur simultaneously are mapped close to each other.

[1674] These emotions are distributed in the 3 o'clock direction on emotion map 400, and typically fluctuate between relief and anxiety. In the right half of emotion map 400, situational awareness dominates over internal sensations, resulting in a sense of calm.

[1675] The inside of emotion map 400 represents what is going on in the mind, and the outside of emotion map 400 represents behavior, so the further you go outside emotion map 400, the more visible the emotions become (the more they are expressed in behavior).

[1676] Human emotions are based on various balances, such as posture and blood sugar levels. When these balances deviate from the ideal, a state of discomfort is indicated, and when they approach the ideal, a state of pleasure is indicated. Emotions can also be created for robots, automobiles, and motorcycles, based on various balances, such as posture and remaining battery life. When these balances deviate from the ideal, a state of discomfort is indicated, and when they approach the ideal, a state of pleasure is indicated. An emotion map can be generated, for example, based on Dr. Mitsuyoshi's emotion map (Research on Voice Emotion Recognition and Emotional Brain Physiological Signal Analysis Systems, Tokushima University, Doctoral Dissertation: https: / / ci.nii.ac.jp / naid / 500000375379). The left half of the emotion map lists emotions belonging to the "reaction" domain, where sensation is dominant. The right half of the emotion map lists emotions belonging to the "situation" domain, where situational awareness is dominant.

[1677] The emotion map defines two emotions that promote learning. One is a negative emotion on the situation side, around the middle of "repentance" or "reflection." In other words, this occurs 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 a positive emotion on the response side, around "desire." In other words, this occurs when the robot experiences positive feelings such as "I want more" or "I want to know more."

[1678] The emotion identification model 59 inputs user input into a pre-trained neural network, obtains emotion values ​​indicating each emotion shown in the emotion map 400, and determines the user's emotion. This neural network is pre-trained based on multiple pieces of training data that are combinations of user input and emotion values ​​indicating each emotion shown in the emotion map 400. Furthermore, this neural network is trained so that emotions that are located close to each other have similar values, as in the emotion map 900 shown in FIG. 10. FIG. 10 shows an example in which multiple emotions, "relieved," "calm," and "reassuring," have similar emotion values.

[1679] The system according to the present disclosure has been described above mainly with respect to the functions of the data processing device 12, but the system according to the present disclosure is not necessarily implemented on a server. The system according to the present disclosure may be implemented as a general information processing system. The present disclosure may be implemented, for example, as a software program running on a personal computer or an application running on a smartphone, etc. The method according to the present disclosure may be provided to users in the form of SaaS (Software as a Service).

[1680] In the above embodiment, an example was given in which the specific processing is performed by one computer 22, but the technology of the present disclosure is not limited to this, and the specific processing may be distributed and performed by a plurality of computers including the computer 22. For example, the data generation model 58 may be provided in an external device of the data processing device 12, and data may be generated in the external device in accordance with input data.

[1681] In the above embodiment, an example in which the specific processing program 56 is stored in the storage 32 has been described, but the technology of the present disclosure is not limited to this. For example, the specific processing program 56 may be stored in a portable, computer-readable, non-transitory storage medium such as a USB (Universal Serial Bus) memory. The specific processing program 56 stored in the non-transitory storage medium is installed in the computer 22 of the data processing device 12. The processor 28 executes the specific processing in accordance with the specific processing program 56.

[1682] 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.

[1683] It is not necessary to store all 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 all of the specific processing program 56 in the storage 32; only a portion of the specific processing program 56 may be stored.

[1684] The hardware resource for executing a specific process can be any of the following processors: An example of a processor is a CPU, which is a general-purpose processor that functions as a hardware resource for executing a specific process by executing software, i.e., a program. Another example of a processor is a dedicated electrical circuit, such as an FPGA (Field-Programmable Gate Array), a PLD (Programmable Logic Device), or an ASIC (Application Specific Integrated Circuit), which is a processor with a circuit configuration designed specifically for executing a specific process. Each processor has built-in or connected memory, and each processor uses the memory to execute the specific process.

[1685] The hardware resource that executes the specific processing may be configured with one of these various processors, or may be configured with 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). Also, the hardware resource that executes the specific processing may be a single processor.

[1686] As an example of a system configured with a single processor, first, one processor is configured by combining one or more CPUs and software, and this processor functions as a hardware resource that executes a specific process. Second, there is a system that uses a processor that realizes the functions of an entire system including multiple hardware resources that execute a specific process on a single IC chip, as typified by SoC (System-on-a-chip). In this way, a specific process is realized using one or more of the above-mentioned various processors as hardware resources.

[1687] Furthermore, the hardware structure of these various processors can be, more specifically, an electric circuit that combines circuit elements such as semiconductor devices. The specific processing described above is merely an example. Therefore, it goes without saying that unnecessary steps may be deleted, new steps may be added, or the processing order may be rearranged, without departing from the spirit of the invention.

[1688] The above-described description and illustrations are a detailed explanation of the parts related to the technology of the present disclosure and are merely an example of the technology of the present disclosure. For example, the above description of the configuration, functions, actions, and effects is an explanation of an example of the configuration, functions, actions, and effects of the parts related to the technology of the present disclosure. Therefore, it goes without saying that unnecessary parts may be deleted, new elements may be added, or replacements may be made to the above-described description and illustrations within the scope of the gist of the technology of the present disclosure. Furthermore, to avoid confusion and facilitate understanding of the parts related to the technology of the present disclosure, the above-described description and illustrations omit explanations of common technical knowledge that do not require particular explanation to enable the implementation of the technology of the present disclosure.

[1689] All publications, patent applications, and technical standards mentioned in this specification are herein incorporated by reference to the same extent as if each individual publication, patent application, or technical standard was specifically and individually indicated to be incorporated by reference.

[1690] The following is further disclosed regarding the above embodiment.

[1691] (Claim 1)

[1692] a means for travelers to input the places they want to visit and their priorities;

[1693] means for transmitting the input information to a server;

[1694] a means for calculating distances and travel times between each of the visiting points based on the information received by the server, and generating an optimal sightseeing route taking priority into consideration;

[1695] a means for transmitting the generated optimum route to a traveler's terminal and displaying the same;

[1696] A system including:

[1697] (Claim 2)

[1698] means for the traveler to input corrections to the optimum route and resubmit the corrected information to the server;

[1699] a means for the server to recalculate the optimum route based on the revised information and transmit the recalculated route to the traveler's terminal;

[1700] 10. The system of claim 1.

[1701] (Claim 3)

[1702] A means for generating optimal tourist routes based on travel area, travel days, and transportation means;

[1703] means for providing on-site navigation based on the generated tourist route;

[1704] 3. The system of claim 1 or 2.

[1705] "Example 1"

[1706] (Claim 1)

[1707] a device for inputting the places that a traveler wants to visit and their priorities;

[1708] a device for transmitting input information to an information processing device;

[1709] a device that calculates the distance and travel time between each of the visit points based on the information received by the information processing device and generates an optimal sightseeing route taking priority into consideration;

[1710] a device for transmitting the generated optimum route to a display device of the traveler and displaying the same;

[1711] a device that provides navigation based on the saved optimal route at the start of a trip;

[1712] A system including:

[1713] (Claim 2)

[1714] a device for allowing a traveler to input corrections to the optimum route and for transmitting the corrected information back to the information processing device;

[1715] and a device for the information processing device to recalculate the optimum route based on the revised information and transmit the recalculated route to the traveler's display device.

[1716] 10. The system of claim 1.

[1717] (Claim 3)

[1718] A device for generating an optimal sightseeing route based on a travel area, number of travel days, and means of transportation;

[1719] a device for providing on-site navigation based on the generated tourist route;

[1720] 10. The system of claim 1.

[1721] "Application Example 1"

[1722] (Claim 1)

[1723] a means for travelers to input the places they want to visit and their priorities;

[1724] means for transmitting the input information to a server;

[1725] a means for calculating distances and travel times between each of the visiting points based on the information received by the server, and generating an optimal sightseeing route taking priority into consideration;

[1726] a means for transmitting the generated optimum route to a traveler's terminal and displaying the same;

[1727] A means to link the generated optimal route with autonomous transport equipment to support travelers' travels;

[1728] A system including:

[1729] (Claim 2)

[1730] means for the traveler to input corrections to the optimum route and resubmit the corrected information to the server;

[1731] a means for the server to recalculate the optimum route based on the revised information and transmit the recalculated route to the traveler's terminal;

[1732] A means for calculating an optimal route using a generative AI model; and

[1733] a means for the traveler to input correction information in real time while traveling;

[1734] 10. The system of claim 1, comprising:

[1735] (Claim 3)

[1736] A means for generating optimal tourist routes based on travel area, travel days, and transportation means;

[1737] a means for providing on-site navigation based on the generated tourist route;

[1738] a means for the automated transport device to travel along a presented route and guide the traveler;

[1739] 3. The system of claim 1 or 2, comprising:

[1740] "Example 2: Combining Emotion Engines"

[1741] (Claim 1)

[1742] a means for travelers to input the places they want to visit and their priorities;

[1743] means for transmitting the input data and traveler emotion data to a server;

[1744] a means for calculating distances and travel times between each of the visiting points based on the received data and emotion data by the server, and generating an optimal sightseeing route taking into consideration priorities and emotion states;

[1745] a means for transmitting the generated optimum route to a traveler's terminal and displaying the same;

[1746] A system including:

[1747] (Claim 2)

[1748] means for the traveler to input corrections to the optimum route and resubmit the corrected data to the server;

[1749] a means for the server to recalculate the optimum route based on the corrected data and transmit the recalculated route to the traveler's terminal;

[1750] 10. The system of claim 1.

[1751] (Claim 3)

[1752] A means for generating an optimal tourist route based on the travel area, the number of travel days, the means of transportation, and the emotional state of the traveler;

[1753] means for providing on-site navigation based on the generated tourist route;

[1754] 10. The system of claim 1.

[1755] "Application example 2 when combining emotion engines"

[1756] (Claim 1)

[1757] a means for travelers to input the places they want to visit and their priorities;

[1758] means for transmitting the input information to a server;

[1759] a means for calculating distances and travel times between each of the visiting points based on the information received by the server, and generating an optimal sightseeing route taking priority into consideration;

[1760] an emotion recognition engine and a computing means for analyzing emotion data of a user based on the generated optimal route;

[1761] A means to flexibly adjust the route taking into account the analysis results of the emotion recognition engine,

[1762] a means for transmitting the generated optimum route to a traveler's terminal and displaying the same;

[1763] A system including:

[1764] (Claim 2)

[1765] means for the traveler to input corrections to the optimum route and resubmit the corrected information to the server;

[1766] The server includes a means for recalculating the optimum route based on the correction information and the emotion data, and transmitting the recalculated optimum route to the traveler's terminal.

[1767] 10. The system of claim 1.

[1768] (Claim 3)

[1769] A means for generating optimal tourist routes based on travel area, travel days, and transportation means;

[1770] and means for providing on-site navigation based on the generated tourist route and the user's emotion data.

[1771] 3. The system of claim 1 or 2. [Explanation of symbols]

[1772] 10, 210, 310, 410 Data Processing Systems 12 Data Processing Device 14 Smart Devices 214 Smart Glasses 314 Headset-type terminal 414 Robot< / url:> < / url:> < / url:> < / url:>

Claims

1. a means for travelers to input the places they want to visit and their priorities; means for transmitting the input information to a server; a means for calculating distances and travel times between each of the visiting points based on the information received by the server, and generating an optimal sightseeing route taking priority into consideration; a means for transmitting the generated optimum route to a traveler's terminal and displaying the same; A system including:

2. means for the traveler to input corrections to the optimum route and resubmit the corrected information to the server; a means for the server to recalculate the optimum route based on the revised information and transmit the recalculated route to the traveler's terminal; The system of claim 1 .

3. A means for generating optimal tourist routes based on travel area, travel days, and transportation means; means for providing on-site navigation based on the generated tourist route; 3. The system according to claim 1 or 2.

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