System

Abstract

A system is provided.SOLUTION: A system comprising: means for acquiring location information; means for acquiring user-attribute information; a generation device for generating local information based on the acquired location information and user-attribute information; an advertisement selection device for selecting advertisement information related to the generated local information; a speech synthesis device for converting the local information and the advertisement information into voice information; and a reproduction device for reproducing the voice information.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] Car navigation systems are expected to not only present routes but also provide users with interesting and practical information while driving. However, existing systems are unable to effectively provide personalized local information and advertisements based on the user's attributes and current location information. Furthermore, there is a lack of means to provide information in a way that takes driving safety into consideration. Therefore, it is necessary to provide a system that can safely and effectively provide personalized information and advertisements to users while driving. [Means for solving the problem]

[0005] The present invention solves the above problem by providing a car navigation system including a means for acquiring location information, a means for acquiring user attribute information, a generation device for generating local information based on the acquired location information and user attribute information, an advertising selection device for selecting advertising information related to the generated local information, a voice synthesis device for converting the local information and advertising information into voice data, and a playback device for playing back the voice data.

[0006] Specifically, a generation device generates local information appropriate for the user at that time based on current location information periodically acquired by the user and previously acquired user attribute information. Furthermore, an advertisement selection device selects relevant advertisements based on the location information and user attribute information and inserts them following the local information. A speech synthesis device converts this information into voice data, and a playback device plays the voice data while driving. This allows users to safely obtain personalized information and advertisements while driving. Furthermore, providing a means to generate and notify coupons based on specific location information can further encourage user purchasing behavior.

[0007] The "location information acquisition means" is a device or sensor for acquiring the current latitude and longitude of the vehicle.

[0008] The "user attribute information acquisition means" is a device or system for acquiring attribute information such as a user's age, sex, hobbies, and interests.

[0009] A "generation device" is a device or system for automatically generating local information based on acquired location information and user attribute information.

[0010] The "advertising selection device" is a device or system for selecting advertising information related to the generated local information.

[0011] A "voice synthesizer" is a device or system for converting text data into voice data.

[0012] A "playback device" is a device or system for playing back generated audio data to a user.

[0013] The "coupon generating means" is a device or system that generates a coupon based on specific location information and provides it to the user. [Brief explanation of the drawings]

[0014] [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

[0015] 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.

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

[0017] 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).

[0018] 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.

[0019] 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.

[0020] 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.

[0021] 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."

[0022] [First embodiment]

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

[0024] 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.

[0025] 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).

[0026] 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.

[0027] 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.

[0028] The output device 40 includes a display 40A and a speaker 40B, and presents data to the user 20 by outputting the data in a form 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.

[0029] 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.

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

[0031] 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.

[0032] 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.

[0033] 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.

[0034] 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."

[0035] The car navigation system of the present invention has a structure including a location information acquisition means, a user attribute information acquisition means, a generation device, an advertisement selection device, a voice synthesis device, a playback device, and a coupon generation means. This system provides personalized local information and advertisements to users while they are driving, encouraging them to make purchases.

[0036] System configuration

[0037] 1. Location information acquisition means

[0038] The device periodically obtains the vehicle's current location information using a GPS sensor. This information includes latitude and longitude and is updated periodically.

[0039] 2. Means of obtaining user attribute information

[0040] The server retrieves and caches user attribute information such as age, gender, hobbies, and interests from a database in advance. This information is managed based on the user ID.

[0041] 3. Generator

[0042] The server uses AI to generate local information based on the acquired location information and user attribute information. For example, if a man in his 30s is in Osaka, it will generate information about Osaka Castle and takoyaki restaurants.

[0043] 4. Advertisement selection device

[0044] The server selects relevant advertisements from a database based on the location information and user attribute information, such as discount information for restaurants near tourist spots.

[0045] 5. Speech synthesizer

[0046] The server combines the generated local information with the selected advertising information and converts it into voice data using a voice synthesis engine, which then provides the text-based information in the form of a voice announcement.

[0047] 6. Playback device

[0048] The device receives the audio data sent from the server and plays it back through the car's speakers while the driver is driving. The timing of playback is automatically determined by analyzing the driving situation.

[0049] 7. Coupon Generation Method

[0050] The server generates applicable coupons based on specific location information and sends them to the terminal, which then notifies the user of the received coupon information and encourages them to use it.

[0051] Specific examples

[0052] For example, assume that the user is traveling by car from Tokyo to Osaka.

[0053] 1. The device acquires its current location information (for example, the latitude and longitude near Nagoya) and sends it to the server.

[0054] 2. Based on user attribute information, the server uses a generation AI to generate local information related to Nagoya (for example, the history of Nagoya Castle or the local specialty, Hitsumabushi).

[0055] 3. The server selects relevant advertisements (for example, discount information for a famous Hitsumabushi restaurant in Nagoya) based on the location information and user attribute information.

[0056] 4. The server combines this information to generate voice data and sends it to the terminal.

[0057] 5. The device will announce through the car speaker, "You are now approaching Nagoya. Nagoya Castle is a must-see tourist attraction, and the hitsumabushi is delicious. You can use a discount coupon at the service area up ahead."

[0058] 6. The server generates a coupon for a Hitsumabushi restaurant based on specific location information in Nagoya and sends it to the terminal.

[0059] 7. The terminal notifies the user of this coupon information and tells them, "You can use this coupon in the following service areas to receive special benefits."

[0060] In this way, the present invention can enhance the user's driving experience and safely provide personalized information and advertising.

[0061] The processing flow will be explained below.

[0062] Step 1:

[0063] The device periodically obtains its current location (latitude and longitude) using the GPS sensor. The update interval is once every minute.

[0064] Step 2:

[0065] The location information acquired by the device is sent to the server in JSON format ({"latitude": xxx, "longitude": xxx}).

[0066] Step 3:

[0067] The server retrieves user attribute information (age, gender, interests, hobbies, etc.) from the database in advance and stores it in a cache.

[0068] Step 4:

[0069] The server analyzes the received location information, identifies the current driving area, and performs reverse geocoding to obtain the area name.

[0070] Step 5:

[0071] Using the area information acquired by the server and cached user attribute information, the AI ​​generates local information. For example, for a man in his 30s living in the Nagoya area, it generates information on tourist spots and local dishes.

[0072] Step 6:

[0073] The server selects relevant advertising information from an advertising database based on location information and user attribute information, such as discount information for a hitsumabushi restaurant in Nagoya.

[0074] Step 7:

[0075] The server combines local information and advertising information to generate text data. Example: "Nagoya Castle is a famous spot. Nagoya's specialty, Hitsumabushi, is delicious, and there are discount coupons for specific stores."

[0076] Step 8:

[0077] The text data generated by the server is converted into voice data using a voice synthesis engine.

[0078] Step 9:

[0079] The server sends the audio data to the terminal.

[0080] Step 10:

[0081] The device adds the received audio data to the playback queue and plays it through the car's speakers. Example: The navigation system announces, "You are near the historic Nagoya Castle. Please try Nagoya's specialty, Hitsumabushi. Coupons are also available."

[0082] Step 11:

[0083] The server generates coupons that can be used in a specific area based on specific location information (e.g., service area).

[0084] Step 12:

[0085] The server transmits the generated coupon information to the terminal.

[0086] Step 13:

[0087] The coupon information received by the device is notified to the user via push notification or the navigation screen. Example: "You can receive a discount by using this coupon in the next service area."

[0088] Through these steps, the system provides the user with useful local information and relevant advertisements based on the location information while driving, and also provides coupons to encourage purchasing behavior.

[0089] Example 1

[0090] 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."

[0091] Conventional car navigation systems provide general information to users without personalization, making it difficult to provide information tailored to the user's interests. Furthermore, if the information is not provided at the right time while driving, it may impede safe driving. Furthermore, advertising information and coupon information for specific regions are not provided appropriately, resulting in insufficient promotion of local economic revitalization.

[0092] 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.

[0093] In this invention, the server includes means for acquiring location information, means for acquiring user attribute information, information generation means for generating local information based on the acquired location information and user attribute information, information selection means for selecting advertising information related to the generated local information, audio data generation means for converting the local information and advertising information into audio data, means for playing the audio data, means for generating coupons based on specific location information and notifying the user, and means for determining the timing of playback based on driving conditions. This makes it possible to provide personalized information based on the user's interests and concerns, providing information while ensuring safety while driving, and promoting the revitalization of local economies.

[0094] "Location Information" means information that indicates the current geographical location of a vehicle, including its latitude and longitude.

[0095] "User attribute information" refers to information that indicates personal characteristics such as a user's age, gender, hobbies, and interests.

[0096] "Information generation means" refers to a device or system that generates local information based on the acquired location information and user attribute information.

[0097] The "information selection means" refers to a device or system that selects appropriate advertising information from a database in relation to the generated local information.

[0098] "Audio data generation means" refers to a device or system that converts local information and advertising information from text format into audio data format.

[0099] "Means for playing audio data" refers to a device or system that plays the generated audio data through a speaker.

[0100] "Means for generating coupons" refers to a device or system that generates applicable coupons based on specific location information and provides them to users.

[0101] The "means for determining the timing of playback" refers to a device or system that analyzes and determines the timing of playback of audio data based on the driving situation.

[0102] The car navigation system of the present invention has a structure including a location information acquisition means, a user attribute information acquisition means, an information generation means, an information selection means, a voice data generation means, a voice playback means, a coupon generation means, and a playback timing determination means. This system is used to provide users with personalized local information and advertisements and to promote purchasing behavior.

[0103] Hardware and software used

[0104] Terminal (in-vehicle navigation system)

[0105] Server (Cloud Computing System)

[0106] GPS sensor

[0107] Database (storage of attribute information and advertising information)

[0108] Generative AI model (generating local information)

[0109] Speech synthesis engine (converts text information into voice data)

[0110] In-car speaker (audio data playback)

[0111] Main processing flow

[0112] 1. Obtaining location information

[0113] The device periodically obtains the vehicle's current location using a GPS sensor. Specifically, it obtains latitude and longitude information, and sends this information to the server.

[0114] 2. Acquisition of user attribute information

[0115] The server retrieves and caches user attribute information such as age, gender, hobbies, and interests from a database in advance. This information is managed based on the user ID.

[0116] 3. Generating local information

[0117] The server generates a prompt based on the acquired location information and user attribute information and inputs it into the generative AI model. For example, it sends a prompt to the generative AI model saying, "Please generate tourist information for men in their 30s who live in Nagoya." The information returned by the model is information about Nagoya Castle and Hitsumabushi restaurants.

[0118] 4. Ad selection

[0119] The server selects advertising information from the database based on location information and user attribute information. For example, it selects "discount information for a famous Hitsumabushi restaurant in Nagoya."

[0120] 5. Generating Audio Data

[0121] The server combines the generated local information with the selected advertising information and converts it into voice data using a speech synthesis engine. Specifically, the text information, "You are now approaching Nagoya. Nagoya Castle is a must-see tourist spot, and the hitsumabushi is excellent. You can use a discount coupon at the service area up ahead," is converted into voice data.

[0122] 6. Audio playback

[0123] The device receives the audio data sent from the server and plays it through the car's speakers. The timing of playback is determined by the device's analysis of the driving situation. For example, audio can be played while the driver is waiting at a traffic light.

[0124] 7. Coupon generation and notification

[0125] The server generates applicable coupons based on specific location information and sends them to the terminal. The terminal notifies the user of the received coupon information, specifically stating, "You can use this coupon to receive benefits in the following service areas."

[0126] Specific examples

[0127] For example, consider the case where a user is driving from Tokyo to Osaka:

[0128] 1. The device obtains its current location information (e.g., latitude and longitude near Nagoya) and sends it to the server.

[0129] 2. Based on user attribute information, the server uses a generation AI to generate local information related to Nagoya (e.g., the history of Nagoya Castle and the local specialty, Hitsumabushi).

[0130] 3. The server selects advertisements (e.g., discount information for a famous Hitsumabushi restaurant in Nagoya) based on location information and user attribute information.

[0131] 4. The server combines this information to generate voice data and sends it to the device.

[0132] 5. The device will announce through the car speaker, "You are now approaching Nagoya. Nagoya Castle is a must-see tourist attraction, and the Hitsumabushi is delicious. You can use a discount coupon at the service area up ahead."

[0133] 6. The server generates a coupon for a Hitsumabushi restaurant based on specific location information in Nagoya and sends it to the device.

[0134] 7. The terminal notifies the user of this coupon information and tells them, "You can use this coupon in the following service areas to receive special benefits."

[0135] The flow of the identification process in the first embodiment will be described with reference to FIG.

[0136] Step 1:

[0137] The device acquires its current location using a GPS sensor. Specifically, the device acquires latitude and longitude information and sends this information to the server. The input data is the device's latitude and longitude, and the output data is the location information sent to the server.

[0138] Step 2:

[0139] The server retrieves user attribute information (age, gender, hobbies, interests, etc.) from the database based on the user ID. This information is cached for use in subsequent processing. The input data is the user ID, and the output data is the cached user attribute information.

[0140] Step 3:

[0141] The server generates a prompt based on the acquired location information and user attribute information. The generated prompt is input into the generative AI model. Specifically, it generates the prompt, "Please generate tourist information for a man in his 30s living in Nagoya." The input data is location information and user attribute information, and the output data is the generated prompt.

[0142] Step 4:

[0143] The server generates local information from the prompt sentence generated using a generative AI model. For example, the generative AI model outputs information such as "The History of Nagoya Castle" or "Famous Hitsumabushi Restaurants." The input data is the prompt sentence, and the output data is the generated local information.

[0144] Step 5:

[0145] The server searches the database for and selects advertising information based on location information and user attribute information. For example, it selects "discount information for Hitsumabushi restaurants in Nagoya." The input data are location information and user attribute information, and the output data is the selected advertising information.

[0146] Step 6:

[0147] The server combines the generated local information with the selected advertising information and converts it into voice data using a voice synthesis engine. Specifically, the process converts text information such as "You are currently approaching Nagoya. Nagoya Castle is a must-see tourist attraction, and the hitsumabushi is excellent. You can use a discount coupon at the service area up ahead." into voice data. The input data is the combined text information, and the output data is the generated voice data.

[0148] Step 7:

[0149] The terminal receives the audio data sent from the server and plays it through the car's speakers. The timing of playback is determined by analyzing the driving situation. Specifically, the audio is played while the driver is waiting at a traffic light. The input data is the audio data, and the output data is the played audio.

[0150] Step 8:

[0151] The server generates a coupon based on specific location information and sends it to the terminal. For example, it generates a "discount coupon that can be used at a Hitsumabushi restaurant in Nagoya." The input data is location information, and the output data is the generated coupon information.

[0152] Step 9:

[0153] The terminal receives the coupon information and notifies the user. Specifically, it displays a message saying, "You can use this coupon in the following service area to receive a special benefit." The input data is the coupon information, and the output data is the message to be notified to the user.

[0154] (Application example 1)

[0155] 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."

[0156] Conventional navigation systems only provide general map information and route guidance, and lack information tailored to individual users' interests and attributes. Furthermore, it is difficult to provide personalized advertisements and coupons based on dynamically changing location information. This results in low user satisfaction while driving, and does not sufficiently promote purchasing behavior.

[0157] 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.

[0158] In this invention, the server includes means for acquiring location information, means for acquiring user attribute information, a generation device for generating local information based on the acquired location information and user attribute information, an advertisement selection device for selecting advertising information related to the generated local information, a voice synthesis device for converting the local information and advertising information into voice data, means for providing the generated voice data together with coupon information, means for generating local information and advertising information using a generative AI model, and means for generating prompt sentences for the generative AI model. This makes it possible to provide information tailored to the user's individual interests and attributes in real time while driving, thereby effectively promoting purchasing behavior.

[0159] "Means for obtaining location information" means a device that periodically obtains the vehicle's current latitude and longitude information using a GPS sensor or other standard location detection technology.

[0160] The "means for acquiring user attribute information" refers to a device or method for acquiring attribute information such as a user's age, sex, hobbies, and interests from a database.

[0161] A "generation device" is hardware or software for generating personalized local information based on acquired location information and user attribute information.

[0162] The "advertising selection device" is a device or method for selecting advertising information related to the generated local information from a database.

[0163] A "voice synthesizer" is an engine or software that converts local information and advertising information into voice data.

[0164] A "playback device" is a device or system that plays back generated audio data to a user.

[0165] The "means for providing together with coupon information" is a method or device for providing a coupon generated based on specific location information to a user together with voice data.

[0166] "Means for generating local information and advertising information using a generative AI model" refers to a method or device that uses AI technology to automatically generate local information and related advertisements based on a user's location information and attribute information.

[0167] A "means for generating prompt sentences for a generative AI model" is a method or apparatus that automatically generates text prompts for input to a generative AI model.

[0168] The system of the present invention is installed in an autonomous vehicle and provides personalized local information and advertising information to users while they are driving, thereby promoting purchasing behavior. The system includes a location information acquisition means, a user attribute information acquisition means, a generation device, an advertisement selection device, a speech synthesis device, a playback device, a coupon provision means, a generative AI model, and a means for generating prompt sentences for the generative AI model.

[0169] System configuration and operation

[0170] 1. Location information acquisition means

[0171] The device (smartphone) periodically obtains its current location information using its built-in GPS sensor. This location information includes latitude and longitude and is sent to the server. For example, if the vehicle is near Nagoya, the latitude and longitude information is sent to the server.

[0172] 2. Means of obtaining user attribute information

[0173] The server retrieves attribute information such as the user's age, gender, hobbies, and interests from the database. This information is pre-registered based on the user ID. For example, if a user is a man in his 30s who is interested in history and cooking, that information is retrieved from the database.

[0174] 3. Generator

[0175] The server generates local information using a generative AI model based on the acquired location information and user attribute information. The generative AI model generates text that matches the user's attributes. An example of a prompt sentence is, "A male user in his 30s is located near Nagoya. This user is interested in history and cuisine. Please generate local information about Nagoya that this user might be interested in."

[0176] 4. Advertisement selection device

[0177] The server selects relevant advertising information from a database based on the location information and user attribute information. For example, it selects discount information for Hitsumabushi restaurants near Nagoya Castle.

[0178] 5. Speech synthesizer

[0179] The server converts the generated local information and selected advertising information into voice data using a speech synthesis engine (e.g., Google Text-to-Speech), which converts text-format information into voice format.

[0180] 6. Playback device

[0181] The device then plays the audio data sent from the server through the car's speakers, with the timing of playback determined based on the autonomous driving situation.

[0182] 7. Coupon Delivery Method

[0183] The server generates coupons based on specific location information and sends them to the device. The device then notifies the user of the received coupon information and encourages them to use it. For example, a discount coupon for a hitsumabushi restaurant near Nagoya Castle is generated and notified to the user.

[0184] In this way, the system of the present invention can provide relevant information in real time based on the user's current location and individual attribute information. The hardware used includes a GPS sensor, smartphone, and in-car speaker, and the software uses Google Maps API, Google Text-to-Speech API, Python, and Flask. This allows users to obtain interesting local information while driving and encourages purchasing behavior through advertisements and coupons.

[0185] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[0186] Step 1:

[0187] The user's device (smartphone) acquires current location information using a GPS sensor. This location information includes latitude and longitude data, which the device sends to a server. The input is GPS data (latitude and longitude), and the output is location information sent to the server.

[0188] Step 2:

[0189] The server retrieves user attribute information from a database. This database stores information such as the user's age, gender, hobbies, and interests. The input is a user ID, and the output is user attribute data. Specifically, if the user is a man in his 30s who is interested in history and cooking, that information is retrieved.

[0190] Step 3:

[0191] Based on the location information and user attribute information acquired by the server, local information is generated using a generative AI model. This involves the process of generating a prompt sentence for the generative AI model. The input is location information and user attribute information, and the output is the generated local information. An example of a prompt sentence is, "A male user in his 30s is located near Nagoya. This user is interested in history and cuisine. Please generate local information about Nagoya that this user might be interested in."

[0192] Step 4:

[0193] The server selects relevant advertising information from a database based on location information and user attribute information. The input is location information and user attribute information, and the output is the selected advertising information. Specifically, discount information for Hitsumabushi restaurants around Nagoya Castle is selected.

[0194] Step 5:

[0195] The server converts the generated local information and selected advertising information into audio data using a speech synthesis engine (e.g., Google Text-to-Speech). The input is text-based local information and advertising information, and the output is audio data.

[0196] Step 6:

[0197] The terminal receives the voice data sent from the server and plays it through the car's speakers. The timing of playback is determined taking into account the autonomous driving situation. The input is voice data, and the output is voice guidance to the user.

[0198] Step 7:

[0199] The server generates a coupon based on specific location information and sends it to the terminal. The terminal then notifies the user of the received coupon information and encourages them to use it. The input is location information, and the output is coupon information. Specifically, a discount coupon for a hitsumabushi restaurant near Nagoya Castle is generated and notified to the user.

[0200] 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.

[0201] The car navigation system of the present invention has a structure that combines location information acquisition means, user attribute information acquisition means, a generation device, an advertisement selection device, a voice synthesis device, a playback device, coupon generation means, and an emotion engine that recognizes the user's emotions. This system provides personalized local information and advertisements to users while they are driving, and furthermore, by adjusting according to their emotional state, promotes purchasing behavior more effectively.

[0202] System configuration

[0203] 1. Location information acquisition means

[0204] The terminal periodically obtains the vehicle's current location information using a GPS sensor, and the obtained latitude and longitude information is sent to the server.

[0205] 2. Means of obtaining user attribute information

[0206] The server retrieves user attribute information (age, gender, hobbies, interests, etc.) from the database in advance and stores it in a cache. This information is managed based on the user ID.

[0207] 3. Emotion Engine

[0208] The device analyzes the user's voice and facial expressions using a camera and microphone, and recognizes their emotional state (e.g., joy, anger, sadness, etc.) in real time. The emotion engine then sends this information to the server.

[0209] 4. Generator

[0210] The server generates local information based on the acquired location information, user attribute information, and emotion information received from the emotion engine. For example, if the server detects that the user is tired, it generates information on rest spots and places where the user can relax.

[0211] 5. Advertisement selection device

[0212] The server selects relevant advertisement information based on location information, user attribute information, and emotion information. For example, if the user is feeling happy, the server selects advertisements for entertainment facilities that will amplify that emotion.

[0213] 6. Speech Synthesizer

[0214] The server combines the generated local information with the selected advertising information and converts it into voice data using a voice synthesis engine.

[0215] 7. Playback device

[0216] The device receives the audio data sent from the server and plays it through the car's speakers, with the timing and content of playback dynamically adjusted based on the user's driving situation and emotional state.

[0217] 8. Coupon Generation Method

[0218] The server generates a coupon based on specific location information and emotion information and sends it to the terminal. The terminal notifies the user of the received coupon information and encourages them to use it.

[0219] Specific examples

[0220] For example, assume that the user is traveling by car from Tokyo to Osaka and is driving in the Nagoya area.

[0221] 1. The device obtains its current location information and sends it to the server.

[0222] 2. The server uses AI to generate local information related to Nagoya based on the user's attribute information. For example, it generates information about Nagoya Castle, a popular tourist spot, and the local specialty, Hitsumabushi.

[0223] 3. The device recognizes the user's emotions and sends the emotion information to the server. For example, if the device determines that the user is tired, that information is sent to the server.

[0224] 4. The server takes into account the emotional information and generates appropriate local information (rest spots and relaxing tourist destinations).

[0225] 5. The server selects advertisements for relaxation facilities and cafes based on location information and emotional information.

[0226] 6. The server combines the local information and advertising information and converts it into voice data using a voice synthesis engine.

[0227] 7. The device receives the voice data and plays back the following: "You are near Nagoya Castle. Hitsumabushi is a Nagoya specialty. Would you like to take a short break? There is a special discount at a nearby cafe."

[0228] 8. The server generates a coupon for a nearby cafe based on the specific location information and sends it to the device.

[0229] 9. The terminal notifies the user of the coupon information and tells them, "You can use this coupon to receive a discount in the following service areas."

[0230] In this way, by combining an emotion engine, the present invention can provide information that matches the user's current emotions, further improving the driving experience.

[0231] The processing flow will be explained below.

[0232] Step 1:

[0233] The device periodically obtains its current location (latitude and longitude) using the GPS sensor. The update interval is once every minute.

[0234] Step 2:

[0235] The location information acquired by the device is sent to the server in JSON format ({"latitude": xxx, "longitude": xxx}).

[0236] Step 3:

[0237] The server retrieves user attribute information (age, gender, hobbies, interests, etc.) from the database in advance and stores it in a cache.

[0238] Step 4:

[0239] The device uses a camera and microphone to analyze the user's voice and facial expressions in real time and recognize emotional information (e.g., joy, anger, sadness, etc.).

[0240] Step 5:

[0241] The device sends the acquired emotional information to the server in JSON format, with {"emotion": "happy"}.

[0242] Step 6:

[0243] The server analyzes the received location information, identifies the current driving area, and performs reverse geocoding to obtain the area name.

[0244] Step 7:

[0245] The server uses the AI ​​to generate local information based on location information, cached user attribute information, and acquired emotional information. For example, if a man in his 30s in the Nagoya area is recognized as "tired," the system generates information on rest spots and places where he can relax.

[0246] Step 8:

[0247] The server selects relevant advertising information from an advertising database based on user attribute information and emotional information, such as discount information for a hitsumabushi restaurant in Nagoya.

[0248] Step 9:

[0249] The server combines the local information with the advertising information to generate text data (e.g., "Nagoya Castle is a famous spot. Please try Nagoya's specialty, Hitsumabushi. There is a rest spot up ahead.").

[0250] Step 10:

[0251] The text data generated by the server is converted into voice data using a voice synthesis engine.

[0252] Step 11:

[0253] The server sends the audio data to the terminal.

[0254] Step 12:

[0255] The device adds the received audio data to a playback queue and plays it through the car's speakers. Example: The navigation system announces, "You are near the historic Nagoya Castle. Hitsumabushi is a Nagoya specialty. Would you like to take a short break? There is a special discount at a nearby cafe."

[0256] Step 13:

[0257] The server generates a coupon that can be used in the corresponding area based on the specific location information and emotion information.

[0258] Step 14:

[0259] The server transmits the generated coupon information to the terminal.

[0260] Step 15:

[0261] The coupon information received by the device is notified to the user via push notification or the navigation screen. Example: "You can receive a discount by using this coupon in the next service area."

[0262] Through these steps, the system provides the user with useful local information and relevant advertisements based on their location information and emotions while driving, and also provides coupons to encourage purchasing behavior.

[0263] Example 2

[0264] 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."

[0265] Conventional car navigation systems have difficulty providing information that reflects the user's current emotional state, and can only provide uniform local information or advertising information. As a result, they are unable to provide appropriate information that interests the user or that helps them relax, making it difficult to further improve the driving experience.

[0266] The specific processing by the specific processing unit 290 of the data processing device 12 in the second embodiment is realized by the following means.

[0267] In this invention, the server includes means for acquiring location information, means for acquiring user attribute information, means for analyzing the user's voice and facial expression to recognize the emotional state in real time, means for generating local information based on the acquired location information, user attribute information, and emotional information, means for selecting advertising information related to the generated local information, means for converting the local information and advertising information into audio data, and means for playing the audio data, thereby enabling the provision of personalized information according to the user's current emotional state.

[0268] "Means for acquiring location information" refers to a means for detecting the current location of a vehicle using a GPS sensor or the like and providing that location data to other devices or systems.

[0269] "Means for acquiring user attribute information" refers to a means for collecting attribute information such as a user's age, gender, hobbies, and interests from a database, etc., and supplying it to the system.

[0270] "Means of analyzing a user's voice and facial expressions to recognize their emotional state in real time" refers to a means of capturing the user's voice and facial expressions using a camera or microphone, and determining their emotional state using analytical tools such as an emotion engine.

[0271] The "means for generating local information" is a means for generating information related to a specific region based on the acquired location information, user attribute information, and emotion information.

[0272] The "means for selecting advertising information" is a means for selecting and presenting appropriate advertisements in relation to the generated local information.

[0273] The "means for converting into voice data" refers to a means for converting text-formatted local information and advertising information into voice data using voice synthesis technology.

[0274] The "means for reproducing audio data" refers to a means for making the converted audio data audible to the user through an output device such as a speaker.

[0275] The car navigation system of the present invention has a structure that combines location information acquisition means, user attribute information acquisition means, a generation device, an advertisement selection device, a voice synthesis device, a playback device, coupon generation means, and an emotion engine that recognizes the user's emotions. This system provides personalized local information and advertisements to users while they are driving, and furthermore, by adjusting according to their emotional state, promotes purchasing behavior more effectively.

[0276] First, the device periodically acquires the vehicle's current location information using a GPS sensor. The acquired latitude and longitude information is then sent to the server. For example, the device acquires location information of 35.682839 north latitude and 139.759455 east longitude and sends it to the server.

[0277] The server retrieves user attribute information (age, gender, hobbies, interests, etc.) from the database in advance and stores it in a cache. This information is managed based on the user ID. For example, the server retrieves attribute information for user ID "12345" using an SQL query and stores it in the cache.

[0278] The device then analyzes the user's voice and facial expressions using a camera and microphone to recognize their emotional state (e.g., joy, anger, sadness, etc.) in real time. The emotional state is analyzed using an emotion engine, and the information is sent to the server.

[0279] The server generates local information based on the acquired location information, user attribute information, and emotion information received from the emotion engine. For example, it uses a generative AI model to send the following prompt sentence:

[0280] "The user is feeling tired. They are currently located at latitude 35.682839 North and longitude 139.759455 East. Based on this location, please recommend some relaxing rest spots and tourist attractions."

[0281] To select advertising information related to the generated local information, the server selects advertisements corresponding to the location and emotion from the database, for example, using an SQL query to select advertisements for relaxation facilities and cafes.

[0282] Next, the server combines the generated local information with the selected advertising information and converts it into voice data. To do this, it uses a voice synthesis engine (e.g., Amazon Polly) to convert text to voice data.

[0283] The device receives the voice data sent from the server and plays it through the car's speakers. For example, it could play a voice message such as, "You are near Nagoya Castle. Hitsumabushi is a Nagoya specialty. Would you like to take a short break? There is a special discount at a nearby cafe."

[0284] Furthermore, the server generates a coupon based on the specific location information and emotion information and sends it to the terminal. The terminal notifies the user of the received coupon information and guides the user by saying, "You can use this coupon to receive a discount in the next service area." In this way, the present invention can provide optimal information and services according to the user's current emotion state.

[0285] This invention allows users to easily receive personalized information while on the road, thereby improving the driving experience.

[0286] The flow of the identification process in the second embodiment will be described with reference to FIG.

[0287] Step 1:

[0288] The device obtains location information using the vehicle's GPS sensor.

[0289] Specific operation: The device periodically reads GPS data (latitude and longitude) to obtain location information, for example, 35.682839 north latitude, 139.759455 east longitude.

[0290] Input: GPS sensor data

[0291] Output: Obtained location information (latitude and longitude)

[0292] Step 2:

[0293] The terminal transmits the acquired location information to the server.

[0294] Specific operation: The device converts the location information into JSON format and sends it to the server through an API endpoint.

[0295] Input: Obtained location information

[0296] Output: Location information sent to the server

[0297] Step 3:

[0298] The server retrieves user attribute information from the database in advance and stores it in a cache.

[0299] Specific operation: The server executes an SQL query based on the user ID to obtain information such as age, gender, hobbies, and interests. For example, the following SQL query is executed:

[0300] sql

[0301] SELECT age, gender, hobbies FROM user_attributes WHERE user_id = '12345';

[0302] Input: User ID

[0303] Output: Retrieved user attribute information

[0304] Step 4:

[0305] The server stores the attribute information in a cache.

[0306] What it does: The server stores the retrieved data in the Redis cache for fast access.

[0307] Input: Retrieved user attribute information

[0308] Output: Cached user attribute information

[0309] Step 5:

[0310] The device analyzes the user's voice and facial expressions using a camera and microphone, and an emotion engine recognizes the user's emotional state in real time.

[0311] Specific operation: The device uses a voice recognition engine (e.g., a voice recognition tool) and facial expression recognition AI (e.g., an open-source image processing library) to detect the user's emotional state, such as joy, anger, sadness, or happiness.

[0312] Input: User's voice data, facial expression data

[0313] Output: Emotional state data

[0314] Step 6:

[0315] The device transmits the emotion information to the server.

[0316] Specific behavior: Emotion data is also converted to JSON format and sent to a specific API endpoint via a POST request.

[0317] Input: Emotional state data

[0318] Output: Emotion information sent to the server

[0319] Step 7:

[0320] The server generates local information based on location information, user attribute information, and emotional information.

[0321] Specific operation: The server sends the following prompt sentence to the generative AI model (e.g., natural language generation model):

[0322] text

[0323] "The user is feeling tired. They are currently located at latitude 35.682839 North and longitude 139.759455 East. Based on this location, please recommend some relaxing rest spots and tourist attractions."

[0324] Input: location information, user attribute information, emotional information

[0325] Output: Generated local information

[0326] Step 8:

[0327] The server selects relevant advertisements based on the acquired information.

[0328] Specific operation: The server uses an SQL query to select advertisements from the database that correspond to the location information and user emotions.

[0329] sql

[0330] SELECT FROM ads WHERE location = 'Tokyo' AND ( emotion = 'tired' OR interest = 'relaxation');

[0331] Input: location information, local information, emotional information

[0332] Output: Selected advertising information

[0333] Step 9:

[0334] The server converts the local information and advertising information into audio data.

[0335] Specific operation: The server uses a speech synthesis API (e.g., a speech synthesis tool) to convert the following text into audio data.

[0336] text

[0337] "We're near Nagoya Castle. Hitsumabushi is a Nagoya specialty. Would you like to take a break? There's a special discount at a nearby cafe."

[0338] Input: Local information, advertising information

[0339] Output: Audio data

[0340] Step 10:

[0341] The device receives the audio data sent from the server and plays it through the car's speakers.

[0342] Specific operation: The device receives audio data via an HTTP request and plays it using the audio player library.

[0343] Input: Audio data

[0344] Output: Played audio information

[0345] Step 11:

[0346] The server generates a coupon based on the specific location information and emotion information and transmits it to the terminal.

[0347] Specific operation: The server generates a coupon code based on the advertising data and sends it to the terminal in JSON format.

[0348] Input: location information, emotion information

[0349] Output: Generated coupon information

[0350] Step 12:

[0351] The terminal notifies the user of the coupon information.

[0352] Specific operation: The device uses the push notification function to notify the user, "You can use this coupon to receive a discount in the next service area."

[0353] Input: Coupon information

[0354] Output: Coupon information notified to user

[0355] (Application example 2)

[0356] 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."

[0357] In autonomous vehicles, there is a need to provide personalized information and advertisements based on the user's emotions and interests to improve the driving experience. In particular, it is a challenge to increase comfort and satisfaction by providing information that corresponds to the user's emotional state during long-distance driving.

[0358] The identification process by the identification processing unit 290 of the data processing device 12 in Application Example 2 is realized by the following means. In this invention, the server includes a means for acquiring location information, a means for acquiring user attribute information, a means for recognizing the user's emotional state, a generation device that generates local information based on the acquired location information, user attribute information, and the user's emotional state, an advertisement selection device that selects advertising information related to the generated local information, a voice synthesis device that converts the local information and advertising information into voice data, and a playback device that plays back the voice data. This makes it possible to provide information and select advertisements according to the user's emotions.

[0359] The "location information acquisition means" is a device for acquiring the current location of the vehicle using a GPS sensor or the like.

[0360] The "user attribute information acquisition means" is a device or function for acquiring user attribute information such as age, sex, hobbies, and interests from a database.

[0361] The "emotional state recognition means" is a device or function that analyzes the user's voice and facial expressions and recognizes the user's emotional state in real time.

[0362] The "generation device" is a device that generates local information based on the acquired location information, user attribute information, and the user's emotional state.

[0363] The "advertising selection device" is a device for selecting advertising information related to the generated local information.

[0364] A "voice synthesizer" is a device that converts local information and advertising information into voice data.

[0365] A "playback device" is a device that plays back audio data through an in-vehicle speaker.

[0366] A "coupon generating means" is a device or function for generating a coupon based on specific location information and emotional state and notifying the user of the coupon.

[0367] The present invention relates to a system for providing personalized information and displaying advertisements in an autonomous vehicle. The specific configuration and operation procedure of this system will be described below.

[0368] Hardware and Software Configuration

[0369] This system is configured using the following hardware and software.

[0370] Location information acquisition means: The current location information of the vehicle is acquired using a GPS sensor.

[0371] Method for obtaining user attribute information: Obtain user attribute information such as age, gender, hobbies, and interests from the user database (e.g., user_database).

[0372] Emotional state recognition means: Using the in-car camera and microphone, the user's emotional state is recognized using a module that performs voice analysis and facial expression analysis (e.g., emotion_recognition).

[0373] Generator: A device that generates local information based on location information, user attribute information, and emotional state (e.g., info_generator).

[0374] Advertisement selection device: A device that selects advertisements related to the generated local information (e.g., ad_selector).

[0375] Speech synthesizer: A speech synthesis engine that converts local information and advertising information into voice data (e.g., text_to_speech).

[0376] Playback device: A device that plays back audio data using the vehicle's speakers.

[0377] Coupon generation means: A coupon generation module (e.g., coupon_generator) is used to generate a coupon based on specific location information and emotional state and notify the user.

[0378] System operation procedure

[0379] 1. Obtaining location information: The server periodically obtains the vehicle's current location via the GPS sensor.

[0380] 2. Obtaining user attribute information: The server obtains attribute information from the user database based on the user ID and stores it in a cache.

[0381] 3. Emotional state recognition: The device uses the camera and microphone to analyze the user's emotional state in real time and transmits the information to the server.

[0382] 4. Information generation: The server generates local information based on the location information, user attribute information, and emotional state. For example, if the user is tired, it generates information on rest spots and places where they can relax.

[0383] 5. Advertisement selection: The server selects appropriate advertisement information based on location information, user attribute information, and emotional state.

[0384] 6. Voice generation: The server combines the generated local information and advertising information and converts it into voice data using a voice synthesis engine.

[0385] 7. Audio playback: The device receives the audio data sent from the server and plays it through the car's speakers. The timing and content of playback are dynamically adjusted based on the user's driving situation and emotional state.

[0386] 8. Coupon generation: The server generates a coupon based on specific location and emotion information and sends it to the device. The device then notifies the user of the received coupon information and encourages them to use it.

[0387] Specific examples

[0388] For example, if a user is driving a long distance and approaches a particular tourist spot, and the server detects that the user is feeling tired, it will execute the following steps:

[0389] The server recognizes that the user's current location is near a tourist attraction.

[0390] The system takes into account the user's emotional state (feeling tired) and user attribute information (interests and preferences) to generate appropriate rest spots and related information.

[0391] The server selects advertisements and coupon information for nearby cafes.

[0392] The server converts this information into voice data and generates a message such as, "You are near a tourist attraction. If you are tired, take a break at a nearby cafe. We have a coupon for a special discount."

[0393] Example prompt sentence:

[0394] Name: User123

[0395] Age: 34

[0396] Location: N34.0522, W118.2437

[0397] Emotion: Tired

[0398] Interests: Food, Culture

[0399] Generate: Local information and relevant ads.

[0400] In this way, it becomes possible to provide personalized information and display advertisements based on the user's emotions, providing a comfortable driving experience.

[0401] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[0402] Step 1:

[0403] The terminal periodically acquires the vehicle's current location using a GPS sensor. The location information acquisition means collects latitude and longitude data. This location information is sent to the server and used for further processing.

[0404] Step 2:

[0405] The server retrieves the user's attribute information from the user database. Using the user ID as a key, it searches for related attribute information (age, gender, hobbies, interests, etc.) and stores it in a cache. This provides the basic data for generating personalized information.

[0406] Step 3:

[0407] The device uses the in-car camera and microphone to analyze the user's facial expressions and voice to recognize their emotional state. The emotional data (e.g., joy, anger, sadness, etc.) analyzed by the emotional state recognition means is sent to the server. This data is used to generate subsequent information.

[0408] Step 4:

[0409] The server generates local information based on the acquired location information, user attribute information, and emotional state. Using the generating device, information on related tourist spots, restaurants, rest spots, etc. is generated. For example, if the user is recognized as tired, information on places where they can relax is generated. This generated local information is used in the next processing step.

[0410] Step 5:

[0411] The server selects advertising information based on the location information, user attribute information, and emotional state. Using an advertising selection device, advertisements related to the generated local information (e.g., advertisements for nearby cafes or tourist attractions) are selected. This advertising information is converted into audio data in the next processing step.

[0412] Step 6:

[0413] The server combines the generated local information with the selected advertising information and converts it into voice data using a speech synthesis engine. A message is generated using the speech synthesizer in a format that is easy for the user to understand. For example: "You are near a tourist attraction. If you are tired, take a break at a nearby cafe. We have a coupon for a special discount."

[0414] Step 7:

[0415] The terminal receives the voice data sent from the server and plays it through the car's speakers. Using a playback device, the timing and content are dynamically adjusted according to the user's driving situation and emotional state. Users can receive practical information through voice guidance in real time.

[0416] Step 8:

[0417] The server generates coupons based on specific location information and emotional state. Using the coupon generation means, it generates coupon information appropriate for the user's next destination and emotional state (e.g., fatigue) and sends it to the terminal. The terminal notifies the user of the received coupon and encourages them to use it. Example: "You can use this coupon to receive a discount in the next service area."

[0418] Based on this series of steps, users can receive personalized information in self-driving vehicles and enjoy a comfortable driving experience.

[0419] 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.

[0420] 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.

[0421] 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.

[0422] [Second embodiment]

[0423] FIG. 3 shows an example of the configuration of a data processing system 210 according to the second embodiment.

[0424] 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.

[0425] 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).

[0426] 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.

[0427] 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.

[0428] 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).

[0429] 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.

[0430] 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.

[0431] 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.

[0432] 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.

[0433] 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.

[0434] 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."

[0435] The car navigation system of the present invention has a structure including a location information acquisition means, a user attribute information acquisition means, a generation device, an advertisement selection device, a voice synthesis device, a playback device, and a coupon generation means. This system provides personalized local information and advertisements to users while they are driving, encouraging them to make purchases.

[0436] System configuration

[0437] 1. Location information acquisition means

[0438] The device periodically obtains the vehicle's current location information using a GPS sensor. This information includes latitude and longitude and is updated periodically.

[0439] 2. Means of obtaining user attribute information

[0440] The server retrieves and caches user attribute information such as age, gender, hobbies, and interests from a database in advance. This information is managed based on the user ID.

[0441] 3. Generator

[0442] The server uses AI to generate local information based on the acquired location information and user attribute information. For example, if a man in his 30s is in Osaka, it will generate information about Osaka Castle and takoyaki restaurants.

[0443] 4. Advertisement selection device

[0444] The server selects relevant advertisements from a database based on the location information and user attribute information, such as discount information for restaurants near tourist spots.

[0445] 5. Speech synthesizer

[0446] The server combines the generated local information with the selected advertising information and converts it into voice data using a voice synthesis engine, which then provides the text-based information in the form of a voice announcement.

[0447] 6. Playback device

[0448] The device receives the audio data sent from the server and plays it back through the car's speakers while the driver is driving. The timing of playback is automatically determined by analyzing the driving situation.

[0449] 7. Coupon Generation Method

[0450] The server generates applicable coupons based on specific location information and sends them to the terminal, which then notifies the user of the received coupon information and encourages them to use it.

[0451] Specific examples

[0452] For example, assume that the user is traveling by car from Tokyo to Osaka.

[0453] 1. The device acquires its current location information (for example, the latitude and longitude near Nagoya) and sends it to the server.

[0454] 2. Based on user attribute information, the server uses a generation AI to generate local information related to Nagoya (for example, the history of Nagoya Castle or the local specialty, Hitsumabushi).

[0455] 3. The server selects relevant advertisements (for example, discount information for a famous Hitsumabushi restaurant in Nagoya) based on the location information and user attribute information.

[0456] 4. The server combines this information to generate voice data and sends it to the terminal.

[0457] 5. The device will announce through the car speaker, "You are now approaching Nagoya. Nagoya Castle is a must-see tourist attraction, and the hitsumabushi is delicious. You can use a discount coupon at the service area up ahead."

[0458] 6. The server generates a coupon for a Hitsumabushi restaurant based on specific location information in Nagoya and sends it to the terminal.

[0459] 7. The terminal notifies the user of this coupon information and tells them, "You can use this coupon in the following service areas to receive special benefits."

[0460] In this way, the present invention can enhance the user's driving experience and safely provide personalized information and advertising.

[0461] The processing flow will be explained below.

[0462] Step 1:

[0463] The device periodically obtains its current location (latitude and longitude) using the GPS sensor. The update interval is once every minute.

[0464] Step 2:

[0465] The location information acquired by the device is sent to the server in JSON format ({"latitude": xxx, "longitude": xxx}).

[0466] Step 3:

[0467] The server retrieves user attribute information (age, gender, interests, hobbies, etc.) from the database in advance and stores it in a cache.

[0468] Step 4:

[0469] The server analyzes the received location information, identifies the current driving area, and performs reverse geocoding to obtain the area name.

[0470] Step 5:

[0471] Using the area information acquired by the server and cached user attribute information, the AI ​​generates local information. For example, for a man in his 30s living in the Nagoya area, it generates information on tourist spots and local dishes.

[0472] Step 6:

[0473] The server selects relevant advertising information from an advertising database based on location information and user attribute information, such as discount information for a hitsumabushi restaurant in Nagoya.

[0474] Step 7:

[0475] The server combines local information and advertising information to generate text data. Example: "Nagoya Castle is a famous spot. Nagoya's specialty, Hitsumabushi, is delicious, and there are discount coupons for specific stores."

[0476] Step 8:

[0477] The text data generated by the server is converted into voice data using a voice synthesis engine.

[0478] Step 9:

[0479] The server sends the audio data to the terminal.

[0480] Step 10:

[0481] The device adds the received audio data to the playback queue and plays it through the car's speakers. Example: The navigation system announces, "You are near the historic Nagoya Castle. Please try Nagoya's specialty, Hitsumabushi. Coupons are also available."

[0482] Step 11:

[0483] The server generates coupons that can be used in a specific area based on specific location information (e.g., service area).

[0484] Step 12:

[0485] The server transmits the generated coupon information to the terminal.

[0486] Step 13:

[0487] The coupon information received by the device is notified to the user via push notification or the navigation screen. Example: "You can receive a discount by using this coupon in the next service area."

[0488] Through these steps, the system provides the user with useful local information and relevant advertisements based on the location information while driving, and also provides coupons to encourage purchasing behavior.

[0489] Example 1

[0490] 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."

[0491] Conventional car navigation systems provide general information to users without personalization, making it difficult to provide information tailored to the user's interests. Furthermore, if the information is not provided at the right time while driving, it may impede safe driving. Furthermore, advertising information and coupon information for specific regions are not provided appropriately, resulting in insufficient promotion of local economic revitalization.

[0492] 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.

[0493] In this invention, the server includes means for acquiring location information, means for acquiring user attribute information, information generation means for generating local information based on the acquired location information and user attribute information, information selection means for selecting advertising information related to the generated local information, audio data generation means for converting the local information and advertising information into audio data, means for playing the audio data, means for generating coupons based on specific location information and notifying the user, and means for determining the timing of playback based on driving conditions. This makes it possible to provide personalized information based on the user's interests and concerns, providing information while ensuring safety while driving, and promoting the revitalization of local economies.

[0494] "Location Information" means information that indicates the current geographical location of a vehicle, including its latitude and longitude.

[0495] "User attribute information" refers to information that indicates personal characteristics such as a user's age, gender, hobbies, and interests.

[0496] "Information generation means" refers to a device or system that generates local information based on the acquired location information and user attribute information.

[0497] The "information selection means" refers to a device or system that selects appropriate advertising information from a database in relation to the generated local information.

[0498] "Audio data generation means" refers to a device or system that converts local information and advertising information from text format into audio data format.

[0499] "Means for playing audio data" refers to a device or system that plays the generated audio data through a speaker.

[0500] "Means for generating coupons" refers to a device or system that generates applicable coupons based on specific location information and provides them to users.

[0501] The "means for determining the timing of playback" refers to a device or system that analyzes and determines the timing of playback of audio data based on the driving situation.

[0502] The car navigation system of the present invention has a structure including a location information acquisition means, a user attribute information acquisition means, an information generation means, an information selection means, a voice data generation means, a voice playback means, a coupon generation means, and a playback timing determination means. This system is used to provide users with personalized local information and advertisements and to promote purchasing behavior.

[0503] Hardware and software used

[0504] Terminal (in-vehicle navigation system)

[0505] Server (Cloud Computing System)

[0506] GPS sensor

[0507] Database (storage of attribute information and advertising information)

[0508] Generative AI model (generating local information)

[0509] Speech synthesis engine (converts text information into voice data)

[0510] In-car speaker (audio data playback)

[0511] Main processing flow

[0512] 1. Obtaining location information

[0513] The device periodically obtains the vehicle's current location using a GPS sensor. Specifically, it obtains latitude and longitude information, and sends this information to the server.

[0514] 2. Acquisition of user attribute information

[0515] The server retrieves and caches user attribute information such as age, gender, hobbies, and interests from a database in advance. This information is managed based on the user ID.

[0516] 3. Generating local information

[0517] The server generates a prompt based on the acquired location information and user attribute information and inputs it into the generative AI model. For example, it sends a prompt to the generative AI model saying, "Please generate tourist information for men in their 30s who live in Nagoya." The information returned by the model is information about Nagoya Castle and Hitsumabushi restaurants.

[0518] 4. Ad selection

[0519] The server selects advertising information from the database based on location information and user attribute information. For example, it selects "discount information for a famous Hitsumabushi restaurant in Nagoya."

[0520] 5. Generating Audio Data

[0521] The server combines the generated local information with the selected advertising information and converts it into voice data using a speech synthesis engine. Specifically, the text information, "You are now approaching Nagoya. Nagoya Castle is a must-see tourist spot, and the hitsumabushi is excellent. You can use a discount coupon at the service area up ahead," is converted into voice data.

[0522] 6. Audio playback

[0523] The device receives the audio data sent from the server and plays it through the car's speakers. The timing of playback is determined by the device's analysis of the driving situation. For example, audio can be played while the driver is waiting at a traffic light.

[0524] 7. Coupon generation and notification

[0525] The server generates applicable coupons based on specific location information and sends them to the terminal. The terminal notifies the user of the received coupon information, specifically stating, "You can use this coupon to receive benefits in the following service areas."

[0526] Specific examples

[0527] For example, consider the case where a user is driving from Tokyo to Osaka:

[0528] 1. The device obtains its current location information (e.g., latitude and longitude near Nagoya) and sends it to the server.

[0529] 2. Based on user attribute information, the server uses a generation AI to generate local information related to Nagoya (e.g., the history of Nagoya Castle and the local specialty, Hitsumabushi).

[0530] 3. The server selects advertisements (e.g., discount information for a famous Hitsumabushi restaurant in Nagoya) based on location information and user attribute information.

[0531] 4. The server combines this information to generate voice data and sends it to the device.

[0532] 5. The device will announce through the car speaker, "You are now approaching Nagoya. Nagoya Castle is a must-see tourist attraction, and the Hitsumabushi is delicious. You can use a discount coupon at the service area up ahead."

[0533] 6. The server generates a coupon for a Hitsumabushi restaurant based on specific location information in Nagoya and sends it to the device.

[0534] 7. The terminal notifies the user of this coupon information and tells them, "You can use this coupon in the following service areas to receive special benefits."

[0535] The flow of the identification process in the first embodiment will be described with reference to FIG.

[0536] Step 1:

[0537] The device acquires its current location using a GPS sensor. Specifically, the device acquires latitude and longitude information and sends this information to the server. The input data is the device's latitude and longitude, and the output data is the location information sent to the server.

[0538] Step 2:

[0539] The server retrieves user attribute information (age, gender, hobbies, interests, etc.) from the database based on the user ID. This information is cached for use in subsequent processing. The input data is the user ID, and the output data is the cached user attribute information.

[0540] Step 3:

[0541] The server generates a prompt based on the acquired location information and user attribute information. The generated prompt is input into the generative AI model. Specifically, it generates the prompt, "Please generate tourist information for a man in his 30s living in Nagoya." The input data is location information and user attribute information, and the output data is the generated prompt.

[0542] Step 4:

[0543] The server generates local information from the prompt sentence generated using a generative AI model. For example, the generative AI model outputs information such as "The History of Nagoya Castle" or "Famous Hitsumabushi Restaurants." The input data is the prompt sentence, and the output data is the generated local information.

[0544] Step 5:

[0545] The server searches the database for and selects advertising information based on location information and user attribute information. For example, it selects "discount information for Hitsumabushi restaurants in Nagoya." The input data are location information and user attribute information, and the output data is the selected advertising information.

[0546] Step 6:

[0547] The server combines the generated local information with the selected advertising information and converts it into voice data using a voice synthesis engine. Specifically, the process converts text information such as "You are currently approaching Nagoya. Nagoya Castle is a must-see tourist attraction, and the hitsumabushi is excellent. You can use a discount coupon at the service area up ahead." into voice data. The input data is the combined text information, and the output data is the generated voice data.

[0548] Step 7:

[0549] The terminal receives the audio data sent from the server and plays it through the car's speakers. The timing of playback is determined by analyzing the driving situation. Specifically, the audio is played while the driver is waiting at a traffic light. The input data is the audio data, and the output data is the played audio.

[0550] Step 8:

[0551] The server generates a coupon based on specific location information and sends it to the terminal. For example, it generates a "discount coupon that can be used at a Hitsumabushi restaurant in Nagoya." The input data is location information, and the output data is the generated coupon information.

[0552] Step 9:

[0553] The terminal receives the coupon information and notifies the user. Specifically, it displays a message saying, "You can use this coupon in the following service area to receive a special benefit." The input data is the coupon information, and the output data is the message to be notified to the user.

[0554] (Application example 1)

[0555] 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."

[0556] Conventional navigation systems only provide general map information and route guidance, and lack information tailored to individual users' interests and attributes. Furthermore, it is difficult to provide personalized advertisements and coupons based on dynamically changing location information. This results in low user satisfaction while driving, and does not sufficiently promote purchasing behavior.

[0557] 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.

[0558] In this invention, the server includes means for acquiring location information, means for acquiring user attribute information, a generation device for generating local information based on the acquired location information and user attribute information, an advertisement selection device for selecting advertising information related to the generated local information, a voice synthesis device for converting the local information and advertising information into voice data, means for providing the generated voice data together with coupon information, means for generating local information and advertising information using a generative AI model, and means for generating prompt sentences for the generative AI model. This makes it possible to provide information tailored to the user's individual interests and attributes in real time while driving, thereby effectively promoting purchasing behavior.

[0559] "Means for obtaining location information" means a device that periodically obtains the vehicle's current latitude and longitude information using a GPS sensor or other standard location detection technology.

[0560] The "means for acquiring user attribute information" refers to a device or method for acquiring attribute information such as a user's age, sex, hobbies, and interests from a database.

[0561] A "generation device" is hardware or software for generating personalized local information based on acquired location information and user attribute information.

[0562] The "advertising selection device" is a device or method for selecting advertising information related to the generated local information from a database.

[0563] A "voice synthesizer" is an engine or software that converts local information and advertising information into voice data.

[0564] A "playback device" is a device or system that plays back generated audio data to a user.

[0565] The "means for providing together with coupon information" is a method or device for providing a coupon generated based on specific location information to a user together with voice data.

[0566] "Means for generating local information and advertising information using a generative AI model" refers to a method or device that uses AI technology to automatically generate local information and related advertisements based on a user's location information and attribute information.

[0567] A "means for generating prompt sentences for a generative AI model" is a method or apparatus that automatically generates text prompts for input to a generative AI model.

[0568] The system of the present invention is installed in an autonomous vehicle and provides personalized local information and advertising information to users while they are driving, thereby promoting purchasing behavior. The system includes a location information acquisition means, a user attribute information acquisition means, a generation device, an advertisement selection device, a speech synthesis device, a playback device, a coupon provision means, a generative AI model, and a means for generating prompt sentences for the generative AI model.

[0569] System configuration and operation

[0570] 1. Location information acquisition means

[0571] The device (smartphone) periodically obtains its current location information using its built-in GPS sensor. This location information includes latitude and longitude and is sent to the server. For example, if the vehicle is near Nagoya, the latitude and longitude information is sent to the server.

[0572] 2. Means of obtaining user attribute information

[0573] The server retrieves attribute information such as the user's age, gender, hobbies, and interests from the database. This information is pre-registered based on the user ID. For example, if a user is a man in his 30s who is interested in history and cooking, that information is retrieved from the database.

[0574] 3. Generator

[0575] The server generates local information using a generative AI model based on the acquired location information and user attribute information. The generative AI model generates text that matches the user's attributes. An example of a prompt sentence is, "A male user in his 30s is located near Nagoya. This user is interested in history and cuisine. Please generate local information about Nagoya that this user might be interested in."

[0576] 4. Advertisement selection device

[0577] The server selects relevant advertising information from a database based on the location information and user attribute information. For example, it selects discount information for Hitsumabushi restaurants near Nagoya Castle.

[0578] 5. Speech synthesizer

[0579] The server converts the generated local information and selected advertising information into voice data using a speech synthesis engine (e.g., Google Text-to-Speech), which converts text-format information into voice format.

[0580] 6. Playback device

[0581] The device then plays the audio data sent from the server through the car's speakers, with the timing of playback determined based on the autonomous driving situation.

[0582] 7. Coupon Delivery Method

[0583] The server generates coupons based on specific location information and sends them to the device. The device then notifies the user of the received coupon information and encourages them to use it. For example, a discount coupon for a hitsumabushi restaurant near Nagoya Castle is generated and notified to the user.

[0584] In this way, the system of the present invention can provide relevant information in real time based on the user's current location and individual attribute information. The hardware used includes a GPS sensor, smartphone, and in-car speaker, and the software uses Google Maps API, Google Text-to-Speech API, Python, and Flask. This allows users to obtain interesting local information while driving and encourages purchasing behavior through advertisements and coupons.

[0585] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[0586] Step 1:

[0587] The user's device (smartphone) acquires current location information using a GPS sensor. This location information includes latitude and longitude data, which the device sends to a server. The input is GPS data (latitude and longitude), and the output is location information sent to the server.

[0588] Step 2:

[0589] The server retrieves user attribute information from a database. This database stores information such as the user's age, gender, hobbies, and interests. The input is a user ID, and the output is user attribute data. Specifically, if the user is a man in his 30s who is interested in history and cooking, that information is retrieved.

[0590] Step 3:

[0591] Based on the location information and user attribute information acquired by the server, local information is generated using a generative AI model. This involves the process of generating a prompt sentence for the generative AI model. The input is location information and user attribute information, and the output is the generated local information. An example of a prompt sentence is, "A male user in his 30s is located near Nagoya. This user is interested in history and cuisine. Please generate local information about Nagoya that this user might be interested in."

[0592] Step 4:

[0593] The server selects relevant advertising information from a database based on location information and user attribute information. The input is location information and user attribute information, and the output is the selected advertising information. Specifically, discount information for Hitsumabushi restaurants around Nagoya Castle is selected.

[0594] Step 5:

[0595] The server converts the generated local information and selected advertising information into audio data using a speech synthesis engine (e.g., Google Text-to-Speech). The input is text-based local information and advertising information, and the output is audio data.

[0596] Step 6:

[0597] The terminal receives the voice data sent from the server and plays it through the car's speakers. The timing of playback is determined taking into account the autonomous driving situation. The input is voice data, and the output is voice guidance to the user.

[0598] Step 7:

[0599] The server generates a coupon based on specific location information and sends it to the terminal. The terminal then notifies the user of the received coupon information and encourages them to use it. The input is location information, and the output is coupon information. Specifically, a discount coupon for a hitsumabushi restaurant near Nagoya Castle is generated and notified to the user.

[0600] 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.

[0601] The car navigation system of the present invention has a structure that combines location information acquisition means, user attribute information acquisition means, a generation device, an advertisement selection device, a voice synthesis device, a playback device, coupon generation means, and an emotion engine that recognizes the user's emotions. This system provides personalized local information and advertisements to users while they are driving, and furthermore, by adjusting according to their emotional state, promotes purchasing behavior more effectively.

[0602] System configuration

[0603] 1. Location information acquisition means

[0604] The terminal periodically obtains the vehicle's current location information using a GPS sensor, and the obtained latitude and longitude information is sent to the server.

[0605] 2. Means of obtaining user attribute information

[0606] The server retrieves user attribute information (age, gender, hobbies, interests, etc.) from the database in advance and stores it in a cache. This information is managed based on the user ID.

[0607] 3. Emotion Engine

[0608] The device analyzes the user's voice and facial expressions using a camera and microphone, and recognizes their emotional state (e.g., joy, anger, sadness, etc.) in real time. The emotion engine then sends this information to the server.

[0609] 4. Generator

[0610] The server generates local information based on the acquired location information, user attribute information, and emotion information received from the emotion engine. For example, if the server detects that the user is tired, it generates information on rest spots and places where the user can relax.

[0611] 5. Advertisement selection device

[0612] The server selects relevant advertisement information based on location information, user attribute information, and emotion information. For example, if the user is feeling happy, the server selects advertisements for entertainment facilities that will amplify that emotion.

[0613] 6. Speech Synthesizer

[0614] The server combines the generated local information with the selected advertising information and converts it into voice data using a voice synthesis engine.

[0615] 7. Playback device

[0616] The device receives the audio data sent from the server and plays it through the car's speakers, with the timing and content of playback dynamically adjusted based on the user's driving situation and emotional state.

[0617] 8. Coupon Generation Method

[0618] The server generates a coupon based on specific location information and emotion information and sends it to the terminal. The terminal notifies the user of the received coupon information and encourages them to use it.

[0619] Specific examples

[0620] For example, assume that the user is traveling by car from Tokyo to Osaka and is driving in the Nagoya area.

[0621] 1. The device obtains its current location information and sends it to the server.

[0622] 2. The server uses AI to generate local information related to Nagoya based on the user's attribute information. For example, it generates information about Nagoya Castle, a popular tourist spot, and the local specialty, Hitsumabushi.

[0623] 3. The device recognizes the user's emotions and sends the emotion information to the server. For example, if the device determines that the user is tired, that information is sent to the server.

[0624] 4. The server takes into account the emotional information and generates appropriate local information (rest spots and relaxing tourist destinations).

[0625] 5. The server selects advertisements for relaxation facilities and cafes based on location information and emotional information.

[0626] 6. The server combines the local information and advertising information and converts it into voice data using a voice synthesis engine.

[0627] 7. The device receives the voice data and plays back the following: "You are near Nagoya Castle. Hitsumabushi is a Nagoya specialty. Would you like to take a short break? There is a special discount at a nearby cafe."

[0628] 8. The server generates a coupon for a nearby cafe based on the specific location information and sends it to the device.

[0629] 9. The terminal notifies the user of the coupon information and tells them, "You can use this coupon to receive a discount in the following service areas."

[0630] In this way, by combining an emotion engine, the present invention can provide information that matches the user's current emotions, further improving the driving experience.

[0631] The processing flow will be explained below.

[0632] Step 1:

[0633] The device periodically obtains its current location (latitude and longitude) using the GPS sensor. The update interval is once every minute.

[0634] Step 2:

[0635] The location information acquired by the device is sent to the server in JSON format ({"latitude": xxx, "longitude": xxx}).

[0636] Step 3:

[0637] The server retrieves user attribute information (age, gender, hobbies, interests, etc.) from the database in advance and stores it in a cache.

[0638] Step 4:

[0639] The device uses a camera and microphone to analyze the user's voice and facial expressions in real time and recognize emotional information (e.g., joy, anger, sadness, etc.).

[0640] Step 5:

[0641] The device sends the acquired emotional information to the server in JSON format, with {"emotion": "happy"}.

[0642] Step 6:

[0643] The server analyzes the received location information, identifies the current driving area, and performs reverse geocoding to obtain the area name.

[0644] Step 7:

[0645] The server uses the AI ​​to generate local information based on location information, cached user attribute information, and acquired emotional information. For example, if a man in his 30s in the Nagoya area is recognized as "tired," the system generates information on rest spots and places where he can relax.

[0646] Step 8:

[0647] The server selects relevant advertising information from an advertising database based on user attribute information and emotional information, such as discount information for a hitsumabushi restaurant in Nagoya.

[0648] Step 9:

[0649] The server combines the local information with the advertising information to generate text data (e.g., "Nagoya Castle is a famous spot. Please try Nagoya's specialty, Hitsumabushi. There is a rest spot up ahead.").

[0650] Step 10:

[0651] The text data generated by the server is converted into voice data using a voice synthesis engine.

[0652] Step 11:

[0653] The server sends the audio data to the terminal.

[0654] Step 12:

[0655] The device adds the received audio data to a playback queue and plays it through the car's speakers. Example: The navigation system announces, "You are near the historic Nagoya Castle. Hitsumabushi is a Nagoya specialty. Would you like to take a short break? There is a special discount at a nearby cafe."

[0656] Step 13:

[0657] The server generates a coupon that can be used in the corresponding area based on the specific location information and emotion information.

[0658] Step 14:

[0659] The server transmits the generated coupon information to the terminal.

[0660] Step 15:

[0661] The coupon information received by the device is notified to the user via push notification or the navigation screen. Example: "You can receive a discount by using this coupon in the next service area."

[0662] Through these steps, the system provides the user with useful local information and relevant advertisements based on their location information and emotions while driving, and also provides coupons to encourage purchasing behavior.

[0663] Example 2

[0664] 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."

[0665] Conventional car navigation systems have difficulty providing information that reflects the user's current emotional state, and can only provide uniform local information or advertising information. As a result, they are unable to provide appropriate information that interests the user or that helps them relax, making it difficult to further improve the driving experience.

[0666] The specific processing by the specific processing unit 290 of the data processing device 12 in the second embodiment is realized by the following means.

[0667] In this invention, the server includes means for acquiring location information, means for acquiring user attribute information, means for analyzing the user's voice and facial expression to recognize the emotional state in real time, means for generating local information based on the acquired location information, user attribute information, and emotional information, means for selecting advertising information related to the generated local information, means for converting the local information and advertising information into audio data, and means for playing the audio data, thereby enabling the provision of personalized information according to the user's current emotional state.

[0668] "Means for acquiring location information" refers to a means for detecting the current location of a vehicle using a GPS sensor or the like and providing that location data to other devices or systems.

[0669] "Means for acquiring user attribute information" refers to a means for collecting attribute information such as a user's age, gender, hobbies, and interests from a database, etc., and supplying it to the system.

[0670] "Means of analyzing a user's voice and facial expressions to recognize their emotional state in real time" refers to a means of capturing the user's voice and facial expressions using a camera or microphone, and determining their emotional state using analytical tools such as an emotion engine.

[0671] The "means for generating local information" is a means for generating information related to a specific region based on the acquired location information, user attribute information, and emotion information.

[0672] The "means for selecting advertising information" is a means for selecting and presenting appropriate advertisements in relation to the generated local information.

[0673] The "means for converting into voice data" refers to a means for converting text-formatted local information and advertising information into voice data using voice synthesis technology.

[0674] The "means for reproducing audio data" refers to a means for making the converted audio data audible to the user through an output device such as a speaker.

[0675] The car navigation system of the present invention has a structure that combines location information acquisition means, user attribute information acquisition means, a generation device, an advertisement selection device, a voice synthesis device, a playback device, coupon generation means, and an emotion engine that recognizes the user's emotions. This system provides personalized local information and advertisements to users while they are driving, and furthermore, by adjusting according to their emotional state, promotes purchasing behavior more effectively.

[0676] First, the device periodically acquires the vehicle's current location information using a GPS sensor. The acquired latitude and longitude information is then sent to the server. For example, the device acquires location information of 35.682839 north latitude and 139.759455 east longitude and sends it to the server.

[0677] The server retrieves user attribute information (age, gender, hobbies, interests, etc.) from the database in advance and stores it in a cache. This information is managed based on the user ID. For example, the server retrieves attribute information for user ID "12345" using an SQL query and stores it in the cache.

[0678] The device then analyzes the user's voice and facial expressions using a camera and microphone to recognize their emotional state (e.g., joy, anger, sadness, etc.) in real time. The emotional state is analyzed using an emotion engine, and the information is sent to the server.

[0679] The server generates local information based on the acquired location information, user attribute information, and emotion information received from the emotion engine. For example, it uses a generative AI model to send the following prompt sentence:

[0680] "The user is feeling tired. They are currently located at latitude 35.682839 North and longitude 139.759455 East. Based on this location, please recommend some relaxing rest spots and tourist attractions."

[0681] To select advertising information related to the generated local information, the server selects advertisements corresponding to the location and emotion from the database, for example, using an SQL query to select advertisements for relaxation facilities and cafes.

[0682] Next, the server combines the generated local information with the selected advertising information and converts it into voice data. To do this, it uses a voice synthesis engine (e.g., Amazon Polly) to convert text to voice data.

[0683] The device receives the voice data sent from the server and plays it through the car's speakers. For example, it could play a voice message such as, "You are near Nagoya Castle. Hitsumabushi is a Nagoya specialty. Would you like to take a short break? There is a special discount at a nearby cafe."

[0684] Furthermore, the server generates a coupon based on the specific location information and emotion information and sends it to the terminal. The terminal notifies the user of the received coupon information and guides the user by saying, "You can use this coupon to receive a discount in the next service area." In this way, the present invention can provide optimal information and services according to the user's current emotion state.

[0685] This invention allows users to easily receive personalized information while on the road, thereby improving the driving experience.

[0686] The flow of the identification process in the second embodiment will be described with reference to FIG.

[0687] Step 1:

[0688] The device obtains location information using the vehicle's GPS sensor.

[0689] Specific operation: The device periodically reads GPS data (latitude and longitude) to obtain location information, for example, 35.682839 north latitude, 139.759455 east longitude.

[0690] Input: GPS sensor data

[0691] Output: Obtained location information (latitude and longitude)

[0692] Step 2:

[0693] The terminal transmits the acquired location information to the server.

[0694] Specific operation: The device converts the location information into JSON format and sends it to the server through an API endpoint.

[0695] Input: Obtained location information

[0696] Output: Location information sent to the server

[0697] Step 3:

[0698] The server retrieves user attribute information from the database in advance and stores it in a cache.

[0699] Specific operation: The server executes an SQL query based on the user ID to obtain information such as age, gender, hobbies, and interests. For example, the following SQL query is executed:

[0700] sql

[0701] SELECT age, gender, hobbies FROM user_attributes WHERE user_id = '12345';

[0702] Input: User ID

[0703] Output: Retrieved user attribute information

[0704] Step 4:

[0705] The server stores the attribute information in a cache.

[0706] What it does: The server stores the retrieved data in the Redis cache for fast access.

[0707] Input: Retrieved user attribute information

[0708] Output: Cached user attribute information

[0709] Step 5:

[0710] The device analyzes the user's voice and facial expressions using a camera and microphone, and an emotion engine recognizes the user's emotional state in real time.

[0711] Specific operation: The device uses a voice recognition engine (e.g., a voice recognition tool) and facial expression recognition AI (e.g., an open-source image processing library) to detect the user's emotional state, such as joy, anger, sadness, or happiness.

[0712] Input: User's voice data, facial expression data

[0713] Output: Emotional state data

[0714] Step 6:

[0715] The device transmits the emotion information to the server.

[0716] Specific behavior: Emotion data is also converted to JSON format and sent to a specific API endpoint via a POST request.

[0717] Input: Emotional state data

[0718] Output: Emotion information sent to the server

[0719] Step 7:

[0720] The server generates local information based on location information, user attribute information, and emotional information.

[0721] Specific operation: The server sends the following prompt sentence to the generative AI model (e.g., natural language generation model):

[0722] text

[0723] "The user is feeling tired. They are currently located at latitude 35.682839 North and longitude 139.759455 East. Based on this location, please recommend some relaxing rest spots and tourist attractions."

[0724] Input: location information, user attribute information, emotional information

[0725] Output: Generated local information

[0726] Step 8:

[0727] The server selects relevant advertisements based on the acquired information.

[0728] Specific operation: The server uses an SQL query to select advertisements from the database that correspond to the location information and user emotions.

[0729] sql

[0730] SELECT FROM ads WHERE location = 'Tokyo' AND ( emotion = 'tired' OR interest = 'relaxation');

[0731] Input: location information, local information, emotional information

[0732] Output: Selected advertising information

[0733] Step 9:

[0734] The server converts the local information and advertising information into audio data.

[0735] Specific operation: The server uses a speech synthesis API (e.g., a speech synthesis tool) to convert the following text into audio data.

[0736] text

[0737] "We're near Nagoya Castle. Hitsumabushi is a Nagoya specialty. Would you like to take a break? There's a special discount at a nearby cafe."

[0738] Input: Local information, advertising information

[0739] Output: Audio data

[0740] Step 10:

[0741] The device receives the audio data sent from the server and plays it through the car's speakers.

[0742] Specific operation: The device receives audio data via an HTTP request and plays it using the audio player library.

[0743] Input: Audio data

[0744] Output: Played audio information

[0745] Step 11:

[0746] The server generates a coupon based on the specific location information and emotion information and transmits it to the terminal.

[0747] Specific operation: The server generates a coupon code based on the advertising data and sends it to the terminal in JSON format.

[0748] Input: location information, emotion information

[0749] Output: Generated coupon information

[0750] Step 12:

[0751] The terminal notifies the user of the coupon information.

[0752] Specific operation: The device uses the push notification function to notify the user, "You can use this coupon to receive a discount in the next service area."

[0753] Input: Coupon information

[0754] Output: Coupon information notified to user

[0755] (Application example 2)

[0756] 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."

[0757] In autonomous vehicles, there is a need to provide personalized information and advertisements based on the user's emotions and interests to improve the driving experience. In particular, it is a challenge to increase comfort and satisfaction by providing information that corresponds to the user's emotional state during long-distance driving.

[0758] The identification process by the identification processing unit 290 of the data processing device 12 in Application Example 2 is realized by the following means. In this invention, the server includes a means for acquiring location information, a means for acquiring user attribute information, a means for recognizing the user's emotional state, a generation device that generates local information based on the acquired location information, user attribute information, and the user's emotional state, an advertisement selection device that selects advertising information related to the generated local information, a voice synthesis device that converts the local information and advertising information into voice data, and a playback device that plays back the voice data. This makes it possible to provide information and select advertisements according to the user's emotions.

[0759] The "location information acquisition means" is a device for acquiring the current location of the vehicle using a GPS sensor or the like.

[0760] The "user attribute information acquisition means" is a device or function for acquiring user attribute information such as age, sex, hobbies, and interests from a database.

[0761] The "emotional state recognition means" is a device or function that analyzes the user's voice and facial expressions and recognizes the user's emotional state in real time.

[0762] The "generation device" is a device that generates local information based on the acquired location information, user attribute information, and the user's emotional state.

[0763] The "advertising selection device" is a device for selecting advertising information related to the generated local information.

[0764] A "voice synthesizer" is a device that converts local information and advertising information into voice data.

[0765] A "playback device" is a device that plays back audio data through an in-vehicle speaker.

[0766] A "coupon generating means" is a device or function for generating a coupon based on specific location information and emotional state and notifying the user of the coupon.

[0767] The present invention relates to a system for providing personalized information and displaying advertisements in an autonomous vehicle. The specific configuration and operation procedure of this system will be described below.

[0768] Hardware and Software Configuration

[0769] This system is configured using the following hardware and software.

[0770] Location information acquisition means: The current location information of the vehicle is acquired using a GPS sensor.

[0771] Method for obtaining user attribute information: Obtain user attribute information such as age, gender, hobbies, and interests from the user database (e.g., user_database).

[0772] Emotional state recognition means: Using the in-car camera and microphone, the user's emotional state is recognized using a module that performs voice analysis and facial expression analysis (e.g., emotion_recognition).

[0773] Generator: A device that generates local information based on location information, user attribute information, and emotional state (e.g., info_generator).

[0774] Advertisement selection device: A device that selects advertisements related to the generated local information (e.g., ad_selector).

[0775] Speech synthesizer: A speech synthesis engine that converts local information and advertising information into voice data (e.g., text_to_speech).

[0776] Playback device: A device that plays back audio data using the vehicle's speakers.

[0777] Coupon generation means: A coupon generation module (e.g., coupon_generator) is used to generate a coupon based on specific location information and emotional state and notify the user.

[0778] System operation procedure

[0779] 1. Obtaining location information: The server periodically obtains the vehicle's current location via the GPS sensor.

[0780] 2. Obtaining user attribute information: The server obtains attribute information from the user database based on the user ID and stores it in a cache.

[0781] 3. Emotional state recognition: The device uses the camera and microphone to analyze the user's emotional state in real time and transmits the information to the server.

[0782] 4. Information generation: The server generates local information based on the location information, user attribute information, and emotional state. For example, if the user is tired, it generates information on rest spots and places where they can relax.

[0783] 5. Advertisement selection: The server selects appropriate advertisement information based on location information, user attribute information, and emotional state.

[0784] 6. Voice generation: The server combines the generated local information and advertising information and converts it into voice data using a voice synthesis engine.

[0785] 7. Audio playback: The device receives the audio data sent from the server and plays it through the car's speakers. The timing and content of playback are dynamically adjusted based on the user's driving situation and emotional state.

[0786] 8. Coupon generation: The server generates a coupon based on specific location and emotion information and sends it to the device. The device then notifies the user of the received coupon information and encourages them to use it.

[0787] Specific examples

[0788] For example, if a user is driving a long distance and approaches a particular tourist spot, and the server detects that the user is feeling tired, it will execute the following steps:

[0789] The server recognizes that the user's current location is near a tourist attraction.

[0790] The system takes into account the user's emotional state (feeling tired) and user attribute information (interests and preferences) to generate appropriate rest spots and related information.

[0791] The server selects advertisements and coupon information for nearby cafes.

[0792] The server converts this information into voice data and generates a message such as, "You are near a tourist attraction. If you are tired, take a break at a nearby cafe. We have a coupon for a special discount."

[0793] Example prompt sentence:

[0794] Name: User123

[0795] Age: 34

[0796] Location: N34.0522, W118.2437

[0797] Emotion: Tired

[0798] Interests: Food, Culture

[0799] Generate: Local information and relevant ads.

[0800] In this way, it becomes possible to provide personalized information and display advertisements based on the user's emotions, providing a comfortable driving experience.

[0801] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[0802] Step 1:

[0803] The terminal periodically acquires the vehicle's current location using a GPS sensor. The location information acquisition means collects latitude and longitude data. This location information is sent to the server and used for further processing.

[0804] Step 2:

[0805] The server retrieves the user's attribute information from the user database. Using the user ID as a key, it searches for related attribute information (age, gender, hobbies, interests, etc.) and stores it in a cache. This provides the basic data for generating personalized information.

[0806] Step 3:

[0807] The device uses the in-car camera and microphone to analyze the user's facial expressions and voice to recognize their emotional state. The emotional data (e.g., joy, anger, sadness, etc.) analyzed by the emotional state recognition means is sent to the server. This data is used to generate subsequent information.

[0808] Step 4:

[0809] The server generates local information based on the acquired location information, user attribute information, and emotional state. Using the generating device, information on related tourist spots, restaurants, rest spots, etc. is generated. For example, if the user is recognized as tired, information on places where they can relax is generated. This generated local information is used in the next processing step.

[0810] Step 5:

[0811] The server selects advertising information based on the location information, user attribute information, and emotional state. Using an advertising selection device, advertisements related to the generated local information (e.g., advertisements for nearby cafes or tourist attractions) are selected. This advertising information is converted into audio data in the next processing step.

[0812] Step 6:

[0813] The server combines the generated local information with the selected advertising information and converts it into voice data using a speech synthesis engine. A message is generated using the speech synthesizer in a format that is easy for the user to understand. For example: "You are near a tourist attraction. If you are tired, take a break at a nearby cafe. We have a coupon for a special discount."

[0814] Step 7:

[0815] The terminal receives the voice data sent from the server and plays it through the car's speakers. Using a playback device, the timing and content are dynamically adjusted according to the user's driving situation and emotional state. Users can receive practical information through voice guidance in real time.

[0816] Step 8:

[0817] The server generates coupons based on specific location information and emotional state. Using the coupon generation means, it generates coupon information appropriate for the user's next destination and emotional state (e.g., fatigue) and sends it to the terminal. The terminal notifies the user of the received coupon and encourages them to use it. Example: "You can use this coupon to receive a discount in the next service area."

[0818] Based on this series of steps, users can receive personalized information in self-driving vehicles and enjoy a comfortable driving experience.

[0819] 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.

[0820] 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.

[0821] 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.

[0822] [Third embodiment]

[0823] FIG. 5 shows an example of the configuration of a data processing system 310 according to the third embodiment.

[0824] 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.

[0825] 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).

[0826] 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.

[0827] 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.

[0828] 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).

[0829] 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.

[0830] 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.

[0831] 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.

[0832] 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.

[0833] 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.

[0834] 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."

[0835] The car navigation system of the present invention has a structure including a location information acquisition means, a user attribute information acquisition means, a generation device, an advertisement selection device, a voice synthesis device, a playback device, and a coupon generation means. This system provides personalized local information and advertisements to users while they are driving, encouraging them to make purchases.

[0836] System configuration

[0837] 1. Location information acquisition means

[0838] The device periodically obtains the vehicle's current location information using a GPS sensor. This information includes latitude and longitude and is updated periodically.

[0839] 2. Means of obtaining user attribute information

[0840] The server retrieves and caches user attribute information such as age, gender, hobbies, and interests from a database in advance. This information is managed based on the user ID.

[0841] 3. Generator

[0842] The server uses AI to generate local information based on the acquired location information and user attribute information. For example, if a man in his 30s is in Osaka, it will generate information about Osaka Castle and takoyaki restaurants.

[0843] 4. Advertisement selection device

[0844] The server selects relevant advertisements from a database based on the location information and user attribute information, such as discount information for restaurants near tourist spots.

[0845] 5. Speech synthesizer

[0846] The server combines the generated local information with the selected advertising information and converts it into voice data using a voice synthesis engine, which then provides the text-based information in the form of a voice announcement.

[0847] 6. Playback device

[0848] The device receives the audio data sent from the server and plays it back through the car's speakers while the driver is driving. The timing of playback is automatically determined by analyzing the driving situation.

[0849] 7. Coupon Generation Method

[0850] The server generates applicable coupons based on specific location information and sends them to the terminal, which then notifies the user of the received coupon information and encourages them to use it.

[0851] Specific examples

[0852] For example, assume that the user is traveling by car from Tokyo to Osaka.

[0853] 1. The device acquires its current location information (for example, the latitude and longitude near Nagoya) and sends it to the server.

[0854] 2. Based on user attribute information, the server uses a generation AI to generate local information related to Nagoya (for example, the history of Nagoya Castle or the local specialty, Hitsumabushi).

[0855] 3. The server selects relevant advertisements (for example, discount information for a famous Hitsumabushi restaurant in Nagoya) based on the location information and user attribute information.

[0856] 4. The server combines this information to generate voice data and sends it to the terminal.

[0857] 5. The device will announce through the car speaker, "You are now approaching Nagoya. Nagoya Castle is a must-see tourist attraction, and the hitsumabushi is delicious. You can use a discount coupon at the service area up ahead."

[0858] 6. The server generates a coupon for a Hitsumabushi restaurant based on specific location information in Nagoya and sends it to the terminal.

[0859] 7. The terminal notifies the user of this coupon information and tells them, "You can use this coupon in the following service areas to receive special benefits."

[0860] In this way, the present invention can enhance the user's driving experience and safely provide personalized information and advertising.

[0861] The processing flow will be explained below.

[0862] Step 1:

[0863] The device periodically obtains its current location (latitude and longitude) using the GPS sensor. The update interval is once every minute.

[0864] Step 2:

[0865] The location information acquired by the device is sent to the server in JSON format ({"latitude": xxx, "longitude": xxx}).

[0866] Step 3:

[0867] The server retrieves user attribute information (age, gender, interests, hobbies, etc.) from the database in advance and stores it in a cache.

[0868] Step 4:

[0869] The server analyzes the received location information, identifies the current driving area, and performs reverse geocoding to obtain the area name.

[0870] Step 5:

[0871] Using the area information acquired by the server and cached user attribute information, the AI ​​generates local information. For example, for a man in his 30s living in the Nagoya area, it generates information on tourist spots and local dishes.

[0872] Step 6:

[0873] The server selects relevant advertising information from an advertising database based on location information and user attribute information, such as discount information for a hitsumabushi restaurant in Nagoya.

[0874] Step 7:

[0875] The server combines local information and advertising information to generate text data. Example: "Nagoya Castle is a famous spot. Nagoya's specialty, Hitsumabushi, is delicious, and there are discount coupons for specific stores."

[0876] Step 8:

[0877] The text data generated by the server is converted into voice data using a voice synthesis engine.

[0878] Step 9:

[0879] The server sends the audio data to the terminal.

[0880] Step 10:

[0881] The device adds the received audio data to the playback queue and plays it through the car's speakers. Example: The navigation system announces, "You are near the historic Nagoya Castle. Please try Nagoya's specialty, Hitsumabushi. Coupons are also available."

[0882] Step 11:

[0883] The server generates coupons that can be used in a specific area based on specific location information (e.g., service area).

[0884] Step 12:

[0885] The server transmits the generated coupon information to the terminal.

[0886] Step 13:

[0887] The coupon information received by the device is notified to the user via push notification or the navigation screen. Example: "You can receive a discount by using this coupon in the next service area."

[0888] Through these steps, the system provides the user with useful local information and relevant advertisements based on the location information while driving, and also provides coupons to encourage purchasing behavior.

[0889] Example 1

[0890] 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."

[0891] Conventional car navigation systems provide general information to users without personalization, making it difficult to provide information tailored to the user's interests. Furthermore, if the information is not provided at the right time while driving, it may impede safe driving. Furthermore, advertising information and coupon information for specific regions are not provided appropriately, resulting in insufficient promotion of local economic revitalization.

[0892] 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.

[0893] In this invention, the server includes means for acquiring location information, means for acquiring user attribute information, information generation means for generating local information based on the acquired location information and user attribute information, information selection means for selecting advertising information related to the generated local information, audio data generation means for converting the local information and advertising information into audio data, means for playing the audio data, means for generating coupons based on specific location information and notifying the user, and means for determining the timing of playback based on driving conditions. This makes it possible to provide personalized information based on the user's interests and concerns, providing information while ensuring safety while driving, and promoting the revitalization of local economies.

[0894] "Location Information" means information that indicates the current geographical location of a vehicle, including its latitude and longitude.

[0895] "User attribute information" refers to information that indicates personal characteristics such as a user's age, gender, hobbies, and interests.

[0896] "Information generation means" refers to a device or system that generates local information based on the acquired location information and user attribute information.

[0897] The "information selection means" refers to a device or system that selects appropriate advertising information from a database in relation to the generated local information.

[0898] "Audio data generation means" refers to a device or system that converts local information and advertising information from text format into audio data format.

[0899] "Means for playing audio data" refers to a device or system that plays the generated audio data through a speaker.

[0900] "Means for generating coupons" refers to a device or system that generates applicable coupons based on specific location information and provides them to users.

[0901] The "means for determining the timing of playback" refers to a device or system that analyzes and determines the timing of playback of audio data based on the driving situation.

[0902] The car navigation system of the present invention has a structure including a location information acquisition means, a user attribute information acquisition means, an information generation means, an information selection means, a voice data generation means, a voice playback means, a coupon generation means, and a playback timing determination means. This system is used to provide users with personalized local information and advertisements and to promote purchasing behavior.

[0903] Hardware and software used

[0904] Terminal (in-vehicle navigation system)

[0905] Server (Cloud Computing System)

[0906] GPS sensor

[0907] Database (storage of attribute information and advertising information)

[0908] Generative AI model (generating local information)

[0909] Speech synthesis engine (converts text information into voice data)

[0910] In-car speaker (audio data playback)

[0911] Main processing flow

[0912] 1. Obtaining location information

[0913] The device periodically obtains the vehicle's current location using a GPS sensor. Specifically, it obtains latitude and longitude information, and sends this information to the server.

[0914] 2. Acquisition of user attribute information

[0915] The server retrieves and caches user attribute information such as age, gender, hobbies, and interests from a database in advance. This information is managed based on the user ID.

[0916] 3. Generating local information

[0917] The server generates a prompt based on the acquired location information and user attribute information and inputs it into the generative AI model. For example, it sends a prompt to the generative AI model saying, "Please generate tourist information for men in their 30s who live in Nagoya." The information returned by the model is information about Nagoya Castle and Hitsumabushi restaurants.

[0918] 4. Ad selection

[0919] The server selects advertising information from the database based on location information and user attribute information. For example, it selects "discount information for a famous Hitsumabushi restaurant in Nagoya."

[0920] 5. Generating Audio Data

[0921] The server combines the generated local information with the selected advertising information and converts it into voice data using a speech synthesis engine. Specifically, the text information, "You are now approaching Nagoya. Nagoya Castle is a must-see tourist spot, and the hitsumabushi is excellent. You can use a discount coupon at the service area up ahead," is converted into voice data.

[0922] 6. Audio playback

[0923] The device receives the audio data sent from the server and plays it through the car's speakers. The timing of playback is determined by the device's analysis of the driving situation. For example, audio can be played while the driver is waiting at a traffic light.

[0924] 7. Coupon generation and notification

[0925] The server generates applicable coupons based on specific location information and sends them to the terminal. The terminal notifies the user of the received coupon information, specifically stating, "You can use this coupon to receive benefits in the following service areas."

[0926] Specific examples

[0927] For example, consider the case where a user is driving from Tokyo to Osaka:

[0928] 1. The device obtains its current location information (e.g., latitude and longitude near Nagoya) and sends it to the server.

[0929] 2. Based on user attribute information, the server uses a generation AI to generate local information related to Nagoya (e.g., the history of Nagoya Castle and the local specialty, Hitsumabushi).

[0930] 3. The server selects advertisements (e.g., discount information for a famous Hitsumabushi restaurant in Nagoya) based on location information and user attribute information.

[0931] 4. The server combines this information to generate voice data and sends it to the device.

[0932] 5. The device will announce through the car speaker, "You are now approaching Nagoya. Nagoya Castle is a must-see tourist attraction, and the Hitsumabushi is delicious. You can use a discount coupon at the service area up ahead."

[0933] 6. The server generates a coupon for a Hitsumabushi restaurant based on specific location information in Nagoya and sends it to the device.

[0934] 7. The terminal notifies the user of this coupon information and tells them, "You can use this coupon in the following service areas to receive special benefits."

[0935] The flow of the identification process in the first embodiment will be described with reference to FIG.

[0936] Step 1:

[0937] The device acquires its current location using a GPS sensor. Specifically, the device acquires latitude and longitude information and sends this information to the server. The input data is the device's latitude and longitude, and the output data is the location information sent to the server.

[0938] Step 2:

[0939] The server retrieves user attribute information (age, gender, hobbies, interests, etc.) from the database based on the user ID. This information is cached for use in subsequent processing. The input data is the user ID, and the output data is the cached user attribute information.

[0940] Step 3:

[0941] The server generates a prompt based on the acquired location information and user attribute information. The generated prompt is input into the generative AI model. Specifically, it generates the prompt, "Please generate tourist information for a man in his 30s living in Nagoya." The input data is location information and user attribute information, and the output data is the generated prompt.

[0942] Step 4:

[0943] The server generates local information from the prompt sentence generated using a generative AI model. For example, the generative AI model outputs information such as "The History of Nagoya Castle" or "Famous Hitsumabushi Restaurants." The input data is the prompt sentence, and the output data is the generated local information.

[0944] Step 5:

[0945] The server searches the database for and selects advertising information based on location information and user attribute information. For example, it selects "discount information for Hitsumabushi restaurants in Nagoya." The input data are location information and user attribute information, and the output data is the selected advertising information.

[0946] Step 6:

[0947] The server combines the generated local information with the selected advertising information and converts it into voice data using a voice synthesis engine. Specifically, the process converts text information such as "You are currently approaching Nagoya. Nagoya Castle is a must-see tourist attraction, and the hitsumabushi is excellent. You can use a discount coupon at the service area up ahead." into voice data. The input data is the combined text information, and the output data is the generated voice data.

[0948] Step 7:

[0949] The terminal receives the audio data sent from the server and plays it through the car's speakers. The timing of playback is determined by analyzing the driving situation. Specifically, the audio is played while the driver is waiting at a traffic light. The input data is the audio data, and the output data is the played audio.

[0950] Step 8:

[0951] The server generates a coupon based on specific location information and sends it to the terminal. For example, it generates a "discount coupon that can be used at a Hitsumabushi restaurant in Nagoya." The input data is location information, and the output data is the generated coupon information.

[0952] Step 9:

[0953] The terminal receives the coupon information and notifies the user. Specifically, it displays a message saying, "You can use this coupon in the following service area to receive a special benefit." The input data is the coupon information, and the output data is the message to be notified to the user.

[0954] (Application example 1)

[0955] 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."

[0956] Conventional navigation systems only provide general map information and route guidance, and lack information tailored to individual users' interests and attributes. Furthermore, it is difficult to provide personalized advertisements and coupons based on dynamically changing location information. This results in low user satisfaction while driving, and does not sufficiently promote purchasing behavior.

[0957] 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.

[0958] In this invention, the server includes means for acquiring location information, means for acquiring user attribute information, a generation device for generating local information based on the acquired location information and user attribute information, an advertisement selection device for selecting advertising information related to the generated local information, a voice synthesis device for converting the local information and advertising information into voice data, means for providing the generated voice data together with coupon information, means for generating local information and advertising information using a generative AI model, and means for generating prompt sentences for the generative AI model. This makes it possible to provide information tailored to the user's individual interests and attributes in real time while driving, thereby effectively promoting purchasing behavior.

[0959] "Means for obtaining location information" means a device that periodically obtains the vehicle's current latitude and longitude information using a GPS sensor or other standard location detection technology.

[0960] The "means for acquiring user attribute information" refers to a device or method for acquiring attribute information such as a user's age, sex, hobbies, and interests from a database.

[0961] A "generation device" is hardware or software for generating personalized local information based on acquired location information and user attribute information.

[0962] The "advertising selection device" is a device or method for selecting advertising information related to the generated local information from a database.

[0963] A "voice synthesizer" is an engine or software that converts local information and advertising information into voice data.

[0964] A "playback device" is a device or system that plays back generated audio data to a user.

[0965] The "means for providing together with coupon information" is a method or device for providing a coupon generated based on specific location information to a user together with voice data.

[0966] "Means for generating local information and advertising information using a generative AI model" refers to a method or device that uses AI technology to automatically generate local information and related advertisements based on a user's location information and attribute information.

[0967] A "means for generating prompt sentences for a generative AI model" is a method or apparatus that automatically generates text prompts for input to a generative AI model.

[0968] The system of the present invention is installed in an autonomous vehicle and provides personalized local information and advertising information to users while they are driving, thereby promoting purchasing behavior. The system includes a location information acquisition means, a user attribute information acquisition means, a generation device, an advertisement selection device, a speech synthesis device, a playback device, a coupon provision means, a generative AI model, and a means for generating prompt sentences for the generative AI model.

[0969] System configuration and operation

[0970] 1. Location information acquisition means

[0971] The device (smartphone) periodically obtains its current location information using its built-in GPS sensor. This location information includes latitude and longitude and is sent to the server. For example, if the vehicle is near Nagoya, the latitude and longitude information is sent to the server.

[0972] 2. Means of obtaining user attribute information

[0973] The server retrieves attribute information such as the user's age, gender, hobbies, and interests from the database. This information is pre-registered based on the user ID. For example, if a user is a man in his 30s who is interested in history and cooking, that information is retrieved from the database.

[0974] 3. Generator

[0975] The server generates local information using a generative AI model based on the acquired location information and user attribute information. The generative AI model generates text that matches the user's attributes. An example of a prompt sentence is, "A male user in his 30s is located near Nagoya. This user is interested in history and cuisine. Please generate local information about Nagoya that this user might be interested in."

[0976] 4. Advertisement selection device

[0977] The server selects relevant advertising information from a database based on the location information and user attribute information. For example, it selects discount information for Hitsumabushi restaurants near Nagoya Castle.

[0978] 5. Speech synthesizer

[0979] The server converts the generated local information and selected advertising information into voice data using a speech synthesis engine (e.g., Google Text-to-Speech), which converts text-format information into voice format.

[0980] 6. Playback device

[0981] The device then plays the audio data sent from the server through the car's speakers, with the timing of playback determined based on the autonomous driving situation.

[0982] 7. Coupon Delivery Method

[0983] The server generates coupons based on specific location information and sends them to the device. The device then notifies the user of the received coupon information and encourages them to use it. For example, a discount coupon for a hitsumabushi restaurant near Nagoya Castle is generated and notified to the user.

[0984] In this way, the system of the present invention can provide relevant information in real time based on the user's current location and individual attribute information. The hardware used includes a GPS sensor, smartphone, and in-car speaker, and the software uses Google Maps API, Google Text-to-Speech API, Python, and Flask. This allows users to obtain interesting local information while driving and encourages purchasing behavior through advertisements and coupons.

[0985] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[0986] Step 1:

[0987] The user's device (smartphone) acquires current location information using a GPS sensor. This location information includes latitude and longitude data, which the device sends to a server. The input is GPS data (latitude and longitude), and the output is location information sent to the server.

[0988] Step 2:

[0989] The server retrieves user attribute information from a database. This database stores information such as the user's age, gender, hobbies, and interests. The input is a user ID, and the output is user attribute data. Specifically, if the user is a man in his 30s who is interested in history and cooking, that information is retrieved.

[0990] Step 3:

[0991] Based on the location information and user attribute information acquired by the server, local information is generated using a generative AI model. This involves the process of generating a prompt sentence for the generative AI model. The input is location information and user attribute information, and the output is the generated local information. An example of a prompt sentence is, "A male user in his 30s is located near Nagoya. This user is interested in history and cuisine. Please generate local information about Nagoya that this user might be interested in."

[0992] Step 4:

[0993] The server selects relevant advertising information from a database based on location information and user attribute information. The input is location information and user attribute information, and the output is the selected advertising information. Specifically, discount information for Hitsumabushi restaurants around Nagoya Castle is selected.

[0994] Step 5:

[0995] The server converts the generated local information and selected advertising information into audio data using a speech synthesis engine (e.g., Google Text-to-Speech). The input is text-based local information and advertising information, and the output is audio data.

[0996] Step 6:

[0997] The terminal receives the voice data sent from the server and plays it through the car's speakers. The timing of playback is determined taking into account the autonomous driving situation. The input is voice data, and the output is voice guidance to the user.

[0998] Step 7:

[0999] The server generates a coupon based on specific location information and sends it to the terminal. The terminal then notifies the user of the received coupon information and encourages them to use it. The input is location information, and the output is coupon information. Specifically, a discount coupon for a hitsumabushi restaurant near Nagoya Castle is generated and notified to the user.

[1000] 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.

[1001] The car navigation system of the present invention has a structure that combines location information acquisition means, user attribute information acquisition means, a generation device, an advertisement selection device, a voice synthesis device, a playback device, coupon generation means, and an emotion engine that recognizes the user's emotions. This system provides personalized local information and advertisements to users while they are driving, and furthermore, by adjusting according to their emotional state, promotes purchasing behavior more effectively.

[1002] System configuration

[1003] 1. Location information acquisition means

[1004] The terminal periodically obtains the vehicle's current location information using a GPS sensor, and the obtained latitude and longitude information is sent to the server.

[1005] 2. Means of obtaining user attribute information

[1006] The server retrieves user attribute information (age, gender, hobbies, interests, etc.) from the database in advance and stores it in a cache. This information is managed based on the user ID.

[1007] 3. Emotion Engine

[1008] The device analyzes the user's voice and facial expressions using a camera and microphone, and recognizes their emotional state (e.g., joy, anger, sadness, etc.) in real time. The emotion engine then sends this information to the server.

[1009] 4. Generator

[1010] The server generates local information based on the acquired location information, user attribute information, and emotion information received from the emotion engine. For example, if the server detects that the user is tired, it generates information on rest spots and places where the user can relax.

[1011] 5. Advertisement selection device

[1012] The server selects relevant advertisement information based on location information, user attribute information, and emotion information. For example, if the user is feeling happy, the server selects advertisements for entertainment facilities that will amplify that emotion.

[1013] 6. Speech Synthesizer

[1014] The server combines the generated local information with the selected advertising information and converts it into voice data using a voice synthesis engine.

[1015] 7. Playback device

[1016] The device receives the audio data sent from the server and plays it through the car's speakers, with the timing and content of playback dynamically adjusted based on the user's driving situation and emotional state.

[1017] 8. Coupon Generation Method

[1018] The server generates a coupon based on specific location information and emotion information and sends it to the terminal. The terminal notifies the user of the received coupon information and encourages them to use it.

[1019] Specific examples

[1020] For example, assume that the user is traveling by car from Tokyo to Osaka and is driving in the Nagoya area.

[1021] 1. The device obtains its current location information and sends it to the server.

[1022] 2. The server uses AI to generate local information related to Nagoya based on the user's attribute information. For example, it generates information about Nagoya Castle, a popular tourist spot, and the local specialty, Hitsumabushi.

[1023] 3. The device recognizes the user's emotions and sends the emotion information to the server. For example, if the device determines that the user is tired, that information is sent to the server.

[1024] 4. The server takes into account the emotional information and generates appropriate local information (rest spots and relaxing tourist destinations).

[1025] 5. The server selects advertisements for relaxation facilities and cafes based on location information and emotional information.

[1026] 6. The server combines the local information and advertising information and converts it into voice data using a voice synthesis engine.

[1027] 7. The device receives the voice data and plays back the following: "You are near Nagoya Castle. Hitsumabushi is a Nagoya specialty. Would you like to take a short break? There is a special discount at a nearby cafe."

[1028] 8. The server generates a coupon for a nearby cafe based on the specific location information and sends it to the device.

[1029] 9. The terminal notifies the user of the coupon information and tells them, "You can use this coupon to receive a discount in the following service areas."

[1030] In this way, by combining an emotion engine, the present invention can provide information that matches the user's current emotions, further improving the driving experience.

[1031] The processing flow will be explained below.

[1032] Step 1:

[1033] The device periodically obtains its current location (latitude and longitude) using the GPS sensor. The update interval is once every minute.

[1034] Step 2:

[1035] The location information acquired by the device is sent to the server in JSON format ({"latitude": xxx, "longitude": xxx}).

[1036] Step 3:

[1037] The server retrieves user attribute information (age, gender, hobbies, interests, etc.) from the database in advance and stores it in a cache.

[1038] Step 4:

[1039] The device uses a camera and microphone to analyze the user's voice and facial expressions in real time and recognize emotional information (e.g., joy, anger, sadness, etc.).

[1040] Step 5:

[1041] The device sends the acquired emotional information to the server in JSON format, with {"emotion": "happy"}.

[1042] Step 6:

[1043] The server analyzes the received location information, identifies the current driving area, and performs reverse geocoding to obtain the area name.

[1044] Step 7:

[1045] The server uses the AI ​​to generate local information based on location information, cached user attribute information, and acquired emotional information. For example, if a man in his 30s in the Nagoya area is recognized as "tired," the system generates information on rest spots and places where he can relax.

[1046] Step 8:

[1047] The server selects relevant advertising information from an advertising database based on user attribute information and emotional information, such as discount information for a hitsumabushi restaurant in Nagoya.

[1048] Step 9:

[1049] The server combines the local information with the advertising information to generate text data (e.g., "Nagoya Castle is a famous spot. Please try Nagoya's specialty, Hitsumabushi. There is a rest spot up ahead.").

[1050] Step 10:

[1051] The text data generated by the server is converted into voice data using a voice synthesis engine.

[1052] Step 11:

[1053] The server sends the audio data to the terminal.

[1054] Step 12:

[1055] The device adds the received audio data to a playback queue and plays it through the car's speakers. Example: The navigation system announces, "You are near the historic Nagoya Castle. Hitsumabushi is a Nagoya specialty. Would you like to take a short break? There is a special discount at a nearby cafe."

[1056] Step 13:

[1057] The server generates a coupon that can be used in the corresponding area based on the specific location information and emotion information.

[1058] Step 14:

[1059] The server transmits the generated coupon information to the terminal.

[1060] Step 15:

[1061] The coupon information received by the device is notified to the user via push notification or the navigation screen. Example: "You can receive a discount by using this coupon in the next service area."

[1062] Through these steps, the system provides the user with useful local information and relevant advertisements based on their location information and emotions while driving, and also provides coupons to encourage purchasing behavior.

[1063] Example 2

[1064] 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."

[1065] Conventional car navigation systems have difficulty providing information that reflects the user's current emotional state, and can only provide uniform local information or advertising information. As a result, they are unable to provide appropriate information that interests the user or that helps them relax, making it difficult to further improve the driving experience.

[1066] The specific processing by the specific processing unit 290 of the data processing device 12 in the second embodiment is realized by the following means.

[1067] In this invention, the server includes means for acquiring location information, means for acquiring user attribute information, means for analyzing the user's voice and facial expression to recognize the emotional state in real time, means for generating local information based on the acquired location information, user attribute information, and emotional information, means for selecting advertising information related to the generated local information, means for converting the local information and advertising information into audio data, and means for playing the audio data, thereby enabling the provision of personalized information according to the user's current emotional state.

[1068] "Means for acquiring location information" refers to a means for detecting the current location of a vehicle using a GPS sensor or the like and providing that location data to other devices or systems.

[1069] "Means for acquiring user attribute information" refers to a means for collecting attribute information such as a user's age, gender, hobbies, and interests from a database, etc., and supplying it to the system.

[1070] "Means of analyzing a user's voice and facial expressions to recognize their emotional state in real time" refers to a means of capturing the user's voice and facial expressions using a camera or microphone, and determining their emotional state using analytical tools such as an emotion engine.

[1071] The "means for generating local information" is a means for generating information related to a specific region based on the acquired location information, user attribute information, and emotion information.

[1072] The "means for selecting advertising information" is a means for selecting and presenting appropriate advertisements in relation to the generated local information.

[1073] The "means for converting into voice data" refers to a means for converting text-formatted local information and advertising information into voice data using voice synthesis technology.

[1074] The "means for reproducing audio data" refers to a means for making the converted audio data audible to the user through an output device such as a speaker.

[1075] The car navigation system of the present invention has a structure that combines location information acquisition means, user attribute information acquisition means, a generation device, an advertisement selection device, a voice synthesis device, a playback device, coupon generation means, and an emotion engine that recognizes the user's emotions. This system provides personalized local information and advertisements to users while they are driving, and furthermore, by adjusting according to their emotional state, promotes purchasing behavior more effectively.

[1076] First, the device periodically acquires the vehicle's current location information using a GPS sensor. The acquired latitude and longitude information is then sent to the server. For example, the device acquires location information of 35.682839 north latitude and 139.759455 east longitude and sends it to the server.

[1077] The server retrieves user attribute information (age, gender, hobbies, interests, etc.) from the database in advance and stores it in a cache. This information is managed based on the user ID. For example, the server retrieves attribute information for user ID "12345" using an SQL query and stores it in the cache.

[1078] The device then analyzes the user's voice and facial expressions using a camera and microphone to recognize their emotional state (e.g., joy, anger, sadness, etc.) in real time. The emotional state is analyzed using an emotion engine, and the information is sent to the server.

[1079] The server generates local information based on the acquired location information, user attribute information, and emotion information received from the emotion engine. For example, it uses a generative AI model to send the following prompt sentence:

[1080] "The user is feeling tired. They are currently located at latitude 35.682839 North and longitude 139.759455 East. Based on this location, please recommend some relaxing rest spots and tourist attractions."

[1081] To select advertising information related to the generated local information, the server selects advertisements corresponding to the location and emotion from the database, for example, using an SQL query to select advertisements for relaxation facilities and cafes.

[1082] Next, the server combines the generated local information with the selected advertising information and converts it into voice data. To do this, it uses a voice synthesis engine (e.g., Amazon Polly) to convert text to voice data.

[1083] The device receives the voice data sent from the server and plays it through the car's speakers. For example, it could play a voice message such as, "You are near Nagoya Castle. Hitsumabushi is a Nagoya specialty. Would you like to take a short break? There is a special discount at a nearby cafe."

[1084] Furthermore, the server generates a coupon based on the specific location information and emotion information and sends it to the terminal. The terminal notifies the user of the received coupon information and guides the user by saying, "You can use this coupon to receive a discount in the next service area." In this way, the present invention can provide optimal information and services according to the user's current emotion state.

[1085] This invention allows users to easily receive personalized information while on the road, thereby improving the driving experience.

[1086] The flow of the identification process in the second embodiment will be described with reference to FIG.

[1087] Step 1:

[1088] The device obtains location information using the vehicle's GPS sensor.

[1089] Specific operation: The device periodically reads GPS data (latitude and longitude) to obtain location information, for example, 35.682839 north latitude, 139.759455 east longitude.

[1090] Input: GPS sensor data

[1091] Output: Obtained location information (latitude and longitude)

[1092] Step 2:

[1093] The terminal transmits the acquired location information to the server.

[1094] Specific operation: The device converts the location information into JSON format and sends it to the server through an API endpoint.

[1095] Input: Obtained location information

[1096] Output: Location information sent to the server

[1097] Step 3:

[1098] The server retrieves user attribute information from the database in advance and stores it in a cache.

[1099] Specific operation: The server executes an SQL query based on the user ID to obtain information such as age, gender, hobbies, and interests. For example, the following SQL query is executed:

[1100] sql

[1101] SELECT age, gender, hobbies FROM user_attributes WHERE user_id = '12345';

[1102] Input: User ID

[1103] Output: Retrieved user attribute information

[1104] Step 4:

[1105] The server stores the attribute information in a cache.

[1106] What it does: The server stores the retrieved data in the Redis cache for fast access.

[1107] Input: Retrieved user attribute information

[1108] Output: Cached user attribute information

[1109] Step 5:

[1110] The device analyzes the user's voice and facial expressions using a camera and microphone, and an emotion engine recognizes the user's emotional state in real time.

[1111] Specific operation: The device uses a voice recognition engine (e.g., a voice recognition tool) and facial expression recognition AI (e.g., an open-source image processing library) to detect the user's emotional state, such as joy, anger, sadness, or happiness.

[1112] Input: User's voice data, facial expression data

[1113] Output: Emotional state data

[1114] Step 6:

[1115] The device transmits the emotion information to the server.

[1116] Specific behavior: Emotion data is also converted to JSON format and sent to a specific API endpoint via a POST request.

[1117] Input: Emotional state data

[1118] Output: Emotion information sent to the server

[1119] Step 7:

[1120] The server generates local information based on location information, user attribute information, and emotional information.

[1121] Specific operation: The server sends the following prompt sentence to the generative AI model (e.g., natural language generation model):

[1122] text

[1123] "The user is feeling tired. They are currently located at latitude 35.682839 North and longitude 139.759455 East. Based on this location, please recommend some relaxing rest spots and tourist attractions."

[1124] Input: location information, user attribute information, emotional information

[1125] Output: Generated local information

[1126] Step 8:

[1127] The server selects relevant advertisements based on the acquired information.

[1128] Specific operation: The server uses an SQL query to select advertisements from the database that correspond to the location information and user emotions.

[1129] sql

[1130] SELECT FROM ads WHERE location = 'Tokyo' AND ( emotion = 'tired' OR interest = 'relaxation');

[1131] Input: location information, local information, emotional information

[1132] Output: Selected advertising information

[1133] Step 9:

[1134] The server converts the local information and advertising information into audio data.

[1135] Specific operation: The server uses a speech synthesis API (e.g., a speech synthesis tool) to convert the following text into audio data.

[1136] text

[1137] "We're near Nagoya Castle. Hitsumabushi is a Nagoya specialty. Would you like to take a break? There's a special discount at a nearby cafe."

[1138] Input: Local information, advertising information

[1139] Output: Audio data

[1140] Step 10:

[1141] The device receives the audio data sent from the server and plays it through the car's speakers.

[1142] Specific operation: The device receives audio data via an HTTP request and plays it using the audio player library.

[1143] Input: Audio data

[1144] Output: Played audio information

[1145] Step 11:

[1146] The server generates a coupon based on the specific location information and emotion information and transmits it to the terminal.

[1147] Specific operation: The server generates a coupon code based on the advertising data and sends it to the terminal in JSON format.

[1148] Input: location information, emotion information

[1149] Output: Generated coupon information

[1150] Step 12:

[1151] The terminal notifies the user of the coupon information.

[1152] Specific operation: The device uses the push notification function to notify the user, "You can use this coupon to receive a discount in the next service area."

[1153] Input: Coupon information

[1154] Output: Coupon information notified to user

[1155] (Application example 2)

[1156] 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."

[1157] In autonomous vehicles, there is a need to provide personalized information and advertisements based on the user's emotions and interests to improve the driving experience. In particular, it is a challenge to increase comfort and satisfaction by providing information that corresponds to the user's emotional state during long-distance driving.

[1158] The identification process by the identification processing unit 290 of the data processing device 12 in Application Example 2 is realized by the following means. In this invention, the server includes a means for acquiring location information, a means for acquiring user attribute information, a means for recognizing the user's emotional state, a generation device that generates local information based on the acquired location information, user attribute information, and the user's emotional state, an advertisement selection device that selects advertising information related to the generated local information, a voice synthesis device that converts the local information and advertising information into voice data, and a playback device that plays back the voice data. This makes it possible to provide information and select advertisements according to the user's emotions.

[1159] The "location information acquisition means" is a device for acquiring the current location of the vehicle using a GPS sensor or the like.

[1160] The "user attribute information acquisition means" is a device or function for acquiring user attribute information such as age, sex, hobbies, and interests from a database.

[1161] The "emotional state recognition means" is a device or function that analyzes the user's voice and facial expressions and recognizes the user's emotional state in real time.

[1162] The "generation device" is a device that generates local information based on the acquired location information, user attribute information, and the user's emotional state.

[1163] The "advertising selection device" is a device for selecting advertising information related to the generated local information.

[1164] A "voice synthesizer" is a device that converts local information and advertising information into voice data.

[1165] A "playback device" is a device that plays back audio data through an in-vehicle speaker.

[1166] A "coupon generating means" is a device or function for generating a coupon based on specific location information and emotional state and notifying the user of the coupon.

[1167] The present invention relates to a system for providing personalized information and displaying advertisements in an autonomous vehicle. The specific configuration and operation procedure of this system will be described below.

[1168] Hardware and Software Configuration

[1169] This system is configured using the following hardware and software.

[1170] Location information acquisition means: The current location information of the vehicle is acquired using a GPS sensor.

[1171] Method for obtaining user attribute information: Obtain user attribute information such as age, gender, hobbies, and interests from the user database (e.g., user_database).

[1172] Emotional state recognition means: Using the in-car camera and microphone, the user's emotional state is recognized using a module that performs voice analysis and facial expression analysis (e.g., emotion_recognition).

[1173] Generator: A device that generates local information based on location information, user attribute information, and emotional state (e.g., info_generator).

[1174] Advertisement selection device: A device that selects advertisements related to the generated local information (e.g., ad_selector).

[1175] Speech synthesizer: A speech synthesis engine that converts local information and advertising information into voice data (e.g., text_to_speech).

[1176] Playback device: A device that plays back audio data using the vehicle's speakers.

[1177] Coupon generation means: A coupon generation module (e.g., coupon_generator) is used to generate a coupon based on specific location information and emotional state and notify the user.

[1178] System operation procedure

[1179] 1. Obtaining location information: The server periodically obtains the vehicle's current location via the GPS sensor.

[1180] 2. Obtaining user attribute information: The server obtains attribute information from the user database based on the user ID and stores it in a cache.

[1181] 3. Emotional state recognition: The device uses the camera and microphone to analyze the user's emotional state in real time and transmits the information to the server.

[1182] 4. Information generation: The server generates local information based on the location information, user attribute information, and emotional state. For example, if the user is tired, it generates information on rest spots and places where they can relax.

[1183] 5. Advertisement selection: The server selects appropriate advertisement information based on location information, user attribute information, and emotional state.

[1184] 6. Voice generation: The server combines the generated local information and advertising information and converts it into voice data using a voice synthesis engine.

[1185] 7. Audio playback: The device receives the audio data sent from the server and plays it through the car's speakers. The timing and content of playback are dynamically adjusted based on the user's driving situation and emotional state.

[1186] 8. Coupon generation: The server generates a coupon based on specific location and emotion information and sends it to the device. The device then notifies the user of the received coupon information and encourages them to use it.

[1187] Specific examples

[1188] For example, if a user is driving a long distance and approaches a particular tourist spot, and the server detects that the user is feeling tired, it will execute the following steps:

[1189] The server recognizes that the user's current location is near a tourist attraction.

[1190] The system takes into account the user's emotional state (feeling tired) and user attribute information (interests and preferences) to generate appropriate rest spots and related information.

[1191] The server selects advertisements and coupon information for nearby cafes.

[1192] The server converts this information into voice data and generates a message such as, "You are near a tourist attraction. If you are tired, take a break at a nearby cafe. We have a coupon for a special discount."

[1193] Example prompt sentence:

[1194] Name: User123

[1195] Age: 34

[1196] Location: N34.0522, W118.2437

[1197] Emotion: Tired

[1198] Interests: Food, Culture

[1199] Generate: Local information and relevant ads.

[1200] In this way, it becomes possible to provide personalized information and display advertisements based on the user's emotions, providing a comfortable driving experience.

[1201] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[1202] Step 1:

[1203] The terminal periodically acquires the vehicle's current location using a GPS sensor. The location information acquisition means collects latitude and longitude data. This location information is sent to the server and used for further processing.

[1204] Step 2:

[1205] The server retrieves the user's attribute information from the user database. Using the user ID as a key, it searches for related attribute information (age, gender, hobbies, interests, etc.) and stores it in a cache. This provides the basic data for generating personalized information.

[1206] Step 3:

[1207] The device uses the in-car camera and microphone to analyze the user's facial expressions and voice to recognize their emotional state. The emotional data (e.g., joy, anger, sadness, etc.) analyzed by the emotional state recognition means is sent to the server. This data is used to generate subsequent information.

[1208] Step 4:

[1209] The server generates local information based on the acquired location information, user attribute information, and emotional state. Using the generating device, information on related tourist spots, restaurants, rest spots, etc. is generated. For example, if the user is recognized as tired, information on places where they can relax is generated. This generated local information is used in the next processing step.

[1210] Step 5:

[1211] The server selects advertising information based on the location information, user attribute information, and emotional state. Using an advertising selection device, advertisements related to the generated local information (e.g., advertisements for nearby cafes or tourist attractions) are selected. This advertising information is converted into audio data in the next processing step.

[1212] Step 6:

[1213] The server combines the generated local information with the selected advertising information and converts it into voice data using a speech synthesis engine. A message is generated using the speech synthesizer in a format that is easy for the user to understand. For example: "You are near a tourist attraction. If you are tired, take a break at a nearby cafe. We have a coupon for a special discount."

[1214] Step 7:

[1215] The terminal receives the voice data sent from the server and plays it through the car's speakers. Using a playback device, the timing and content are dynamically adjusted according to the user's driving situation and emotional state. Users can receive practical information through voice guidance in real time.

[1216] Step 8:

[1217] The server generates coupons based on specific location information and emotional state. Using the coupon generation means, it generates coupon information appropriate for the user's next destination and emotional state (e.g., fatigue) and sends it to the terminal. The terminal notifies the user of the received coupon and encourages them to use it. Example: "You can use this coupon to receive a discount in the next service area."

[1218] Based on this series of steps, users can receive personalized information in self-driving vehicles and enjoy a comfortable driving experience.

[1219] 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.

[1220] 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.

[1221] 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.

[1222] [Fourth embodiment]

[1223] FIG. 7 shows an example of the configuration of a data processing system 410 according to the fourth embodiment.

[1224] 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.

[1225] 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).

[1226] 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.

[1227] 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.

[1228] 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).

[1229] 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.

[1230] 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.

[1231] 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.

[1232] 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.

[1233] 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.

[1234] 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.

[1235] 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."

[1236] The car navigation system of the present invention has a structure including a location information acquisition means, a user attribute information acquisition means, a generation device, an advertisement selection device, a voice synthesis device, a playback device, and a coupon generation means. This system provides personalized local information and advertisements to users while they are driving, encouraging them to make purchases.

[1237] System configuration

[1238] 1. Location information acquisition means

[1239] The device periodically obtains the vehicle's current location information using a GPS sensor. This information includes latitude and longitude and is updated periodically.

[1240] 2. Means of obtaining user attribute information

[1241] The server retrieves and caches user attribute information such as age, gender, hobbies, and interests from a database in advance. This information is managed based on the user ID.

[1242] 3. Generator

[1243] The server uses AI to generate local information based on the acquired location information and user attribute information. For example, if a man in his 30s is in Osaka, it will generate information about Osaka Castle and takoyaki restaurants.

[1244] 4. Advertisement selection device

[1245] The server selects relevant advertisements from a database based on the location information and user attribute information, such as discount information for restaurants near tourist spots.

[1246] 5. Speech synthesizer

[1247] The server combines the generated local information with the selected advertising information and converts it into voice data using a voice synthesis engine, which then provides the text-based information in the form of a voice announcement.

[1248] 6. Playback device

[1249] The device receives the audio data sent from the server and plays it back through the car's speakers while the driver is driving. The timing of playback is automatically determined by analyzing the driving situation.

[1250] 7. Coupon Generation Method

[1251] The server generates applicable coupons based on specific location information and sends them to the terminal, which then notifies the user of the received coupon information and encourages them to use it.

[1252] Specific examples

[1253] For example, assume that the user is traveling by car from Tokyo to Osaka.

[1254] 1. The device acquires its current location information (for example, the latitude and longitude near Nagoya) and sends it to the server.

[1255] 2. Based on user attribute information, the server uses a generation AI to generate local information related to Nagoya (for example, the history of Nagoya Castle or the local specialty, Hitsumabushi).

[1256] 3. The server selects relevant advertisements (for example, discount information for a famous Hitsumabushi restaurant in Nagoya) based on the location information and user attribute information.

[1257] 4. The server combines this information to generate voice data and sends it to the terminal.

[1258] 5. The device will announce through the car speaker, "You are now approaching Nagoya. Nagoya Castle is a must-see tourist attraction, and the hitsumabushi is delicious. You can use a discount coupon at the service area up ahead."

[1259] 6. The server generates a coupon for a Hitsumabushi restaurant based on specific location information in Nagoya and sends it to the terminal.

[1260] 7. The terminal notifies the user of this coupon information and tells them, "You can use this coupon in the following service areas to receive special benefits."

[1261] In this way, the present invention can enhance the user's driving experience and safely provide personalized information and advertising.

[1262] The processing flow will be explained below.

[1263] Step 1:

[1264] The device periodically obtains its current location (latitude and longitude) using the GPS sensor. The update interval is once every minute.

[1265] Step 2:

[1266] The location information acquired by the device is sent to the server in JSON format ({"latitude": xxx, "longitude": xxx}).

[1267] Step 3:

[1268] The server retrieves user attribute information (age, gender, interests, hobbies, etc.) from the database in advance and stores it in a cache.

[1269] Step 4:

[1270] The server analyzes the received location information, identifies the current driving area, and performs reverse geocoding to obtain the area name.

[1271] Step 5:

[1272] Using the area information acquired by the server and cached user attribute information, the AI ​​generates local information. For example, for a man in his 30s living in the Nagoya area, it generates information on tourist spots and local dishes.

[1273] Step 6:

[1274] The server selects relevant advertising information from an advertising database based on location information and user attribute information, such as discount information for a hitsumabushi restaurant in Nagoya.

[1275] Step 7:

[1276] The server combines local information and advertising information to generate text data. Example: "Nagoya Castle is a famous spot. Nagoya's specialty, Hitsumabushi, is delicious, and there are discount coupons for specific stores."

[1277] Step 8:

[1278] The text data generated by the server is converted into voice data using a voice synthesis engine.

[1279] Step 9:

[1280] The server sends the audio data to the terminal.

[1281] Step 10:

[1282] The device adds the received audio data to the playback queue and plays it through the car's speakers. Example: The navigation system announces, "You are near the historic Nagoya Castle. Please try Nagoya's specialty, Hitsumabushi. Coupons are also available."

[1283] Step 11:

[1284] The server generates coupons that can be used in a specific area based on specific location information (e.g., service area).

[1285] Step 12:

[1286] The server transmits the generated coupon information to the terminal.

[1287] Step 13:

[1288] The coupon information received by the device is notified to the user via push notification or the navigation screen. Example: "You can receive a discount by using this coupon in the next service area."

[1289] Through these steps, the system provides the user with useful local information and relevant advertisements based on the location information while driving, and also provides coupons to encourage purchasing behavior.

[1290] Example 1

[1291] 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."

[1292] Conventional car navigation systems provide general information to users without personalization, making it difficult to provide information tailored to the user's interests. Furthermore, if the information is not provided at the right time while driving, it may impede safe driving. Furthermore, advertising information and coupon information for specific regions are not provided appropriately, resulting in insufficient promotion of local economic revitalization.

[1293] 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.

[1294] In this invention, the server includes means for acquiring location information, means for acquiring user attribute information, information generation means for generating local information based on the acquired location information and user attribute information, information selection means for selecting advertising information related to the generated local information, audio data generation means for converting the local information and advertising information into audio data, means for playing the audio data, means for generating coupons based on specific location information and notifying the user, and means for determining the timing of playback based on driving conditions. This makes it possible to provide personalized information based on the user's interests and concerns, providing information while ensuring safety while driving, and promoting the revitalization of local economies.

[1295] "Location Information" means information that indicates the current geographical location of a vehicle, including its latitude and longitude.

[1296] "User attribute information" refers to information that indicates personal characteristics such as a user's age, gender, hobbies, and interests.

[1297] "Information generation means" refers to a device or system that generates local information based on the acquired location information and user attribute information.

[1298] The "information selection means" refers to a device or system that selects appropriate advertising information from a database in relation to the generated local information.

[1299] "Audio data generation means" refers to a device or system that converts local information and advertising information from text format into audio data format.

[1300] "Means for playing audio data" refers to a device or system that plays the generated audio data through a speaker.

[1301] "Means for generating coupons" refers to a device or system that generates applicable coupons based on specific location information and provides them to users.

[1302] The "means for determining the timing of playback" refers to a device or system that analyzes and determines the timing of playback of audio data based on the driving situation.

[1303] The car navigation system of the present invention has a structure including a location information acquisition means, a user attribute information acquisition means, an information generation means, an information selection means, a voice data generation means, a voice playback means, a coupon generation means, and a playback timing determination means. This system is used to provide users with personalized local information and advertisements and to promote purchasing behavior.

[1304] Hardware and software used

[1305] Terminal (in-vehicle navigation system)

[1306] Server (Cloud Computing System)

[1307] GPS sensor

[1308] Database (storage of attribute information and advertising information)

[1309] Generative AI model (generating local information)

[1310] Speech synthesis engine (converts text information into voice data)

[1311] In-car speaker (audio data playback)

[1312] Main processing flow

[1313] 1. Obtaining location information

[1314] The device periodically obtains the vehicle's current location using a GPS sensor. Specifically, it obtains latitude and longitude information, and sends this information to the server.

[1315] 2. Acquisition of user attribute information

[1316] The server retrieves and caches user attribute information such as age, gender, hobbies, and interests from a database in advance. This information is managed based on the user ID.

[1317] 3. Generating local information

[1318] The server generates a prompt based on the acquired location information and user attribute information and inputs it into the generative AI model. For example, it sends a prompt to the generative AI model saying, "Please generate tourist information for men in their 30s who live in Nagoya." The information returned by the model is information about Nagoya Castle and Hitsumabushi restaurants.

[1319] 4. Ad selection

[1320] The server selects advertising information from the database based on location information and user attribute information. For example, it selects "discount information for a famous Hitsumabushi restaurant in Nagoya."

[1321] 5. Generating Audio Data

[1322] The server combines the generated local information with the selected advertising information and converts it into voice data using a speech synthesis engine. Specifically, the text information, "You are now approaching Nagoya. Nagoya Castle is a must-see tourist spot, and the hitsumabushi is excellent. You can use a discount coupon at the service area up ahead," is converted into voice data.

[1323] 6. Audio playback

[1324] The device receives the audio data sent from the server and plays it through the car's speakers. The timing of playback is determined by the device's analysis of the driving situation. For example, audio can be played while the driver is waiting at a traffic light.

[1325] 7. Coupon generation and notification

[1326] The server generates applicable coupons based on specific location information and sends them to the terminal. The terminal notifies the user of the received coupon information, specifically stating, "You can use this coupon to receive benefits in the following service areas."

[1327] Specific examples

[1328] For example, consider the case where a user is driving from Tokyo to Osaka:

[1329] 1. The device obtains its current location information (e.g., latitude and longitude near Nagoya) and sends it to the server.

[1330] 2. Based on user attribute information, the server uses a generation AI to generate local information related to Nagoya (e.g., the history of Nagoya Castle and the local specialty, Hitsumabushi).

[1331] 3. The server selects advertisements (e.g., discount information for a famous Hitsumabushi restaurant in Nagoya) based on location information and user attribute information.

[1332] 4. The server combines this information to generate voice data and sends it to the device.

[1333] 5. The device will announce through the car speaker, "You are now approaching Nagoya. Nagoya Castle is a must-see tourist attraction, and the Hitsumabushi is delicious. You can use a discount coupon at the service area up ahead."

[1334] 6. The server generates a coupon for a Hitsumabushi restaurant based on specific location information in Nagoya and sends it to the device.

[1335] 7. The terminal notifies the user of this coupon information and tells them, "You can use this coupon in the following service areas to receive special benefits."

[1336] The flow of the identification process in the first embodiment will be described with reference to FIG.

[1337] Step 1:

[1338] The device acquires its current location using a GPS sensor. Specifically, the device acquires latitude and longitude information and sends this information to the server. The input data is the device's latitude and longitude, and the output data is the location information sent to the server.

[1339] Step 2:

[1340] The server retrieves user attribute information (age, gender, hobbies, interests, etc.) from the database based on the user ID. This information is cached for use in subsequent processing. The input data is the user ID, and the output data is the cached user attribute information.

[1341] Step 3:

[1342] The server generates a prompt based on the acquired location information and user attribute information. The generated prompt is input into the generative AI model. Specifically, it generates the prompt, "Please generate tourist information for a man in his 30s living in Nagoya." The input data is location information and user attribute information, and the output data is the generated prompt.

[1343] Step 4:

[1344] The server generates local information from the prompt sentence generated using a generative AI model. For example, the generative AI model outputs information such as "The History of Nagoya Castle" or "Famous Hitsumabushi Restaurants." The input data is the prompt sentence, and the output data is the generated local information.

[1345] Step 5:

[1346] The server searches the database for and selects advertising information based on location information and user attribute information. For example, it selects "discount information for Hitsumabushi restaurants in Nagoya." The input data are location information and user attribute information, and the output data is the selected advertising information.

[1347] Step 6:

[1348] The server combines the generated local information with the selected advertising information and converts it into voice data using a voice synthesis engine. Specifically, the process converts text information such as "You are currently approaching Nagoya. Nagoya Castle is a must-see tourist attraction, and the hitsumabushi is excellent. You can use a discount coupon at the service area up ahead." into voice data. The input data is the combined text information, and the output data is the generated voice data.

[1349] Step 7:

[1350] The terminal receives the audio data sent from the server and plays it through the car's speakers. The timing of playback is determined by analyzing the driving situation. Specifically, the audio is played while the driver is waiting at a traffic light. The input data is the audio data, and the output data is the played audio.

[1351] Step 8:

[1352] The server generates a coupon based on specific location information and sends it to the terminal. For example, it generates a "discount coupon that can be used at a Hitsumabushi restaurant in Nagoya." The input data is location information, and the output data is the generated coupon information.

[1353] Step 9:

[1354] The terminal receives the coupon information and notifies the user. Specifically, it displays a message saying, "You can use this coupon in the following service area to receive a special benefit." The input data is the coupon information, and the output data is the message to be notified to the user.

[1355] (Application example 1)

[1356] 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."

[1357] Conventional navigation systems only provide general map information and route guidance, and lack information tailored to individual users' interests and attributes. Furthermore, it is difficult to provide personalized advertisements and coupons based on dynamically changing location information. This results in low user satisfaction while driving, and does not sufficiently promote purchasing behavior.

[1358] 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.

[1359] In this invention, the server includes means for acquiring location information, means for acquiring user attribute information, a generation device for generating local information based on the acquired location information and user attribute information, an advertisement selection device for selecting advertising information related to the generated local information, a voice synthesis device for converting the local information and advertising information into voice data, means for providing the generated voice data together with coupon information, means for generating local information and advertising information using a generative AI model, and means for generating prompt sentences for the generative AI model. This makes it possible to provide information tailored to the user's individual interests and attributes in real time while driving, thereby effectively promoting purchasing behavior.

[1360] "Means for obtaining location information" means a device that periodically obtains the vehicle's current latitude and longitude information using a GPS sensor or other standard location detection technology.

[1361] The "means for acquiring user attribute information" refers to a device or method for acquiring attribute information such as a user's age, sex, hobbies, and interests from a database.

[1362] A "generation device" is hardware or software for generating personalized local information based on acquired location information and user attribute information.

[1363] The "advertising selection device" is a device or method for selecting advertising information related to the generated local information from a database.

[1364] A "voice synthesizer" is an engine or software that converts local information and advertising information into voice data.

[1365] A "playback device" is a device or system that plays back generated audio data to a user.

[1366] The "means for providing together with coupon information" is a method or device for providing a coupon generated based on specific location information to a user together with voice data.

[1367] "Means for generating local information and advertising information using a generative AI model" refers to a method or device that uses AI technology to automatically generate local information and related advertisements based on a user's location information and attribute information.

[1368] A "means for generating prompt sentences for a generative AI model" is a method or apparatus that automatically generates text prompts for input to a generative AI model.

[1369] The system of the present invention is installed in an autonomous vehicle and provides personalized local information and advertising information to users while they are driving, thereby promoting purchasing behavior. The system includes a location information acquisition means, a user attribute information acquisition means, a generation device, an advertisement selection device, a speech synthesis device, a playback device, a coupon provision means, a generative AI model, and a means for generating prompt sentences for the generative AI model.

[1370] System configuration and operation

[1371] 1. Location information acquisition means

[1372] The device (smartphone) periodically obtains its current location information using its built-in GPS sensor. This location information includes latitude and longitude and is sent to the server. For example, if the vehicle is near Nagoya, the latitude and longitude information is sent to the server.

[1373] 2. Means of obtaining user attribute information

[1374] The server retrieves attribute information such as the user's age, gender, hobbies, and interests from the database. This information is pre-registered based on the user ID. For example, if a user is a man in his 30s who is interested in history and cooking, that information is retrieved from the database.

[1375] 3. Generator

[1376] The server generates local information using a generative AI model based on the acquired location information and user attribute information. The generative AI model generates text that matches the user's attributes. An example of a prompt sentence is, "A male user in his 30s is located near Nagoya. This user is interested in history and cuisine. Please generate local information about Nagoya that this user might be interested in."

[1377] 4. Advertisement selection device

[1378] The server selects relevant advertising information from a database based on the location information and user attribute information. For example, it selects discount information for Hitsumabushi restaurants near Nagoya Castle.

[1379] 5. Speech synthesizer

[1380] The server converts the generated local information and selected advertising information into voice data using a speech synthesis engine (e.g., Google Text-to-Speech), which converts text-format information into voice format.

[1381] 6. Playback device

[1382] The device then plays the audio data sent from the server through the car's speakers, with the timing of playback determined based on the autonomous driving situation.

[1383] 7. Coupon Delivery Method

[1384] The server generates coupons based on specific location information and sends them to the device. The device then notifies the user of the received coupon information and encourages them to use it. For example, a discount coupon for a hitsumabushi restaurant near Nagoya Castle is generated and notified to the user.

[1385] In this way, the system of the present invention can provide relevant information in real time based on the user's current location and individual attribute information. The hardware used includes a GPS sensor, smartphone, and in-car speaker, and the software uses Google Maps API, Google Text-to-Speech API, Python, and Flask. This allows users to obtain interesting local information while driving and encourages purchasing behavior through advertisements and coupons.

[1386] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[1387] Step 1:

[1388] The user's device (smartphone) acquires current location information using a GPS sensor. This location information includes latitude and longitude data, which the device sends to a server. The input is GPS data (latitude and longitude), and the output is location information sent to the server.

[1389] Step 2:

[1390] The server retrieves user attribute information from a database. This database stores information such as the user's age, gender, hobbies, and interests. The input is a user ID, and the output is user attribute data. Specifically, if the user is a man in his 30s who is interested in history and cooking, that information is retrieved.

[1391] Step 3:

[1392] Based on the location information and user attribute information acquired by the server, local information is generated using a generative AI model. This involves the process of generating a prompt sentence for the generative AI model. The input is location information and user attribute information, and the output is the generated local information. An example of a prompt sentence is, "A male user in his 30s is located near Nagoya. This user is interested in history and cuisine. Please generate local information about Nagoya that this user might be interested in."

[1393] Step 4:

[1394] The server selects relevant advertising information from a database based on location information and user attribute information. The input is location information and user attribute information, and the output is the selected advertising information. Specifically, discount information for Hitsumabushi restaurants around Nagoya Castle is selected.

[1395] Step 5:

[1396] The server converts the generated local information and selected advertising information into audio data using a speech synthesis engine (e.g., Google Text-to-Speech). The input is text-based local information and advertising information, and the output is audio data.

[1397] Step 6:

[1398] The terminal receives the voice data sent from the server and plays it through the car's speakers. The timing of playback is determined taking into account the autonomous driving situation. The input is voice data, and the output is voice guidance to the user.

[1399] Step 7:

[1400] The server generates a coupon based on specific location information and sends it to the terminal. The terminal then notifies the user of the received coupon information and encourages them to use it. The input is location information, and the output is coupon information. Specifically, a discount coupon for a hitsumabushi restaurant near Nagoya Castle is generated and notified to the user.

[1401] 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.

[1402] The car navigation system of the present invention has a structure that combines location information acquisition means, user attribute information acquisition means, a generation device, an advertisement selection device, a voice synthesis device, a playback device, coupon generation means, and an emotion engine that recognizes the user's emotions. This system provides personalized local information and advertisements to users while they are driving, and furthermore, by adjusting according to their emotional state, promotes purchasing behavior more effectively.

[1403] System configuration

[1404] 1. Location information acquisition means

[1405] The terminal periodically obtains the vehicle's current location information using a GPS sensor, and the obtained latitude and longitude information is sent to the server.

[1406] 2. Means of obtaining user attribute information

[1407] The server retrieves user attribute information (age, gender, hobbies, interests, etc.) from the database in advance and stores it in a cache. This information is managed based on the user ID.

[1408] 3. Emotion Engine

[1409] The device analyzes the user's voice and facial expressions using a camera and microphone, and recognizes their emotional state (e.g., joy, anger, sadness, etc.) in real time. The emotion engine then sends this information to the server.

[1410] 4. Generator

[1411] The server generates local information based on the acquired location information, user attribute information, and emotion information received from the emotion engine. For example, if the server detects that the user is tired, it generates information on rest spots and places where the user can relax.

[1412] 5. Advertisement selection device

[1413] The server selects relevant advertisement information based on location information, user attribute information, and emotion information. For example, if the user is feeling happy, the server selects advertisements for entertainment facilities that will amplify that emotion.

[1414] 6. Speech Synthesizer

[1415] The server combines the generated local information with the selected advertising information and converts it into voice data using a voice synthesis engine.

[1416] 7. Playback device

[1417] The device receives the audio data sent from the server and plays it through the car's speakers, with the timing and content of playback dynamically adjusted based on the user's driving situation and emotional state.

[1418] 8. Coupon Generation Method

[1419] The server generates a coupon based on specific location information and emotion information and sends it to the terminal. The terminal notifies the user of the received coupon information and encourages them to use it.

[1420] Specific examples

[1421] For example, assume that the user is traveling by car from Tokyo to Osaka and is driving in the Nagoya area.

[1422] 1. The device obtains its current location information and sends it to the server.

[1423] 2. The server uses AI to generate local information related to Nagoya based on the user's attribute information. For example, it generates information about Nagoya Castle, a popular tourist spot, and the local specialty, Hitsumabushi.

[1424] 3. The device recognizes the user's emotions and sends the emotion information to the server. For example, if the device determines that the user is tired, that information is sent to the server.

[1425] 4. The server takes into account the emotional information and generates appropriate local information (rest spots and relaxing tourist destinations).

[1426] 5. The server selects advertisements for relaxation facilities and cafes based on location information and emotional information.

[1427] 6. The server combines the local information and advertising information and converts it into voice data using a voice synthesis engine.

[1428] 7. The device receives the voice data and plays back the following: "You are near Nagoya Castle. Hitsumabushi is a Nagoya specialty. Would you like to take a short break? There is a special discount at a nearby cafe."

[1429] 8. The server generates a coupon for a nearby cafe based on the specific location information and sends it to the device.

[1430] 9. The terminal notifies the user of the coupon information and tells them, "You can use this coupon to receive a discount in the following service areas."

[1431] In this way, by combining an emotion engine, the present invention can provide information that matches the user's current emotions, further improving the driving experience.

[1432] The processing flow will be explained below.

[1433] Step 1:

[1434] The device periodically obtains its current location (latitude and longitude) using the GPS sensor. The update interval is once every minute.

[1435] Step 2:

[1436] The location information acquired by the device is sent to the server in JSON format ({"latitude": xxx, "longitude": xxx}).

[1437] Step 3:

[1438] The server retrieves user attribute information (age, gender, hobbies, interests, etc.) from the database in advance and stores it in a cache.

[1439] Step 4:

[1440] The device uses a camera and microphone to analyze the user's voice and facial expressions in real time and recognize emotional information (e.g., joy, anger, sadness, etc.).

[1441] Step 5:

[1442] The device sends the acquired emotional information to the server in JSON format, with {"emotion": "happy"}.

[1443] Step 6:

[1444] The server analyzes the received location information, identifies the current driving area, and performs reverse geocoding to obtain the area name.

[1445] Step 7:

[1446] The server uses the AI ​​to generate local information based on location information, cached user attribute information, and acquired emotional information. For example, if a man in his 30s in the Nagoya area is recognized as "tired," the system generates information on rest spots and places where he can relax.

[1447] Step 8:

[1448] The server selects relevant advertising information from an advertising database based on user attribute information and emotional information, such as discount information for a hitsumabushi restaurant in Nagoya.

[1449] Step 9:

[1450] The server combines the local information with the advertising information to generate text data (e.g., "Nagoya Castle is a famous spot. Please try Nagoya's specialty, Hitsumabushi. There is a rest spot up ahead.").

[1451] Step 10:

[1452] The text data generated by the server is converted into voice data using a voice synthesis engine.

[1453] Step 11:

[1454] The server sends the audio data to the terminal.

[1455] Step 12:

[1456] The device adds the received audio data to a playback queue and plays it through the car's speakers. Example: The navigation system announces, "You are near the historic Nagoya Castle. Hitsumabushi is a Nagoya specialty. Would you like to take a short break? There is a special discount at a nearby cafe."

[1457] Step 13:

[1458] The server generates a coupon that can be used in the corresponding area based on the specific location information and emotion information.

[1459] Step 14:

[1460] The server transmits the generated coupon information to the terminal.

[1461] Step 15:

[1462] The coupon information received by the device is notified to the user via push notification or the navigation screen. Example: "You can receive a discount by using this coupon in the next service area."

[1463] Through these steps, the system provides the user with useful local information and relevant advertisements based on their location information and emotions while driving, and also provides coupons to encourage purchasing behavior.

[1464] Example 2

[1465] 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."

[1466] Conventional car navigation systems have difficulty providing information that reflects the user's current emotional state, and can only provide uniform local information or advertising information. As a result, they are unable to provide appropriate information that interests the user or that helps them relax, making it difficult to further improve the driving experience.

[1467] The specific processing by the specific processing unit 290 of the data processing device 12 in the second embodiment is realized by the following means.

[1468] In this invention, the server includes means for acquiring location information, means for acquiring user attribute information, means for analyzing the user's voice and facial expression to recognize the emotional state in real time, means for generating local information based on the acquired location information, user attribute information, and emotional information, means for selecting advertising information related to the generated local information, means for converting the local information and advertising information into audio data, and means for playing the audio data, thereby enabling the provision of personalized information according to the user's current emotional state.

[1469] "Means for acquiring location information" refers to a means for detecting the current location of a vehicle using a GPS sensor or the like and providing that location data to other devices or systems.

[1470] "Means for acquiring user attribute information" refers to a means for collecting attribute information such as a user's age, gender, hobbies, and interests from a database, etc., and supplying it to the system.

[1471] "Means of analyzing a user's voice and facial expressions to recognize their emotional state in real time" refers to a means of capturing the user's voice and facial expressions using a camera or microphone, and determining their emotional state using analytical tools such as an emotion engine.

[1472] The "means for generating local information" is a means for generating information related to a specific region based on the acquired location information, user attribute information, and emotion information.

[1473] The "means for selecting advertising information" is a means for selecting and presenting appropriate advertisements in relation to the generated local information.

[1474] The "means for converting into voice data" refers to a means for converting text-formatted local information and advertising information into voice data using voice synthesis technology.

[1475] The "means for reproducing audio data" refers to a means for making the converted audio data audible to the user through an output device such as a speaker.

[1476] The car navigation system of the present invention has a structure that combines location information acquisition means, user attribute information acquisition means, a generation device, an advertisement selection device, a voice synthesis device, a playback device, coupon generation means, and an emotion engine that recognizes the user's emotions. This system provides personalized local information and advertisements to users while they are driving, and furthermore, by adjusting according to their emotional state, promotes purchasing behavior more effectively.

[1477] First, the device periodically acquires the vehicle's current location information using a GPS sensor. The acquired latitude and longitude information is then sent to the server. For example, the device acquires location information of 35.682839 north latitude and 139.759455 east longitude and sends it to the server.

[1478] The server retrieves user attribute information (age, gender, hobbies, interests, etc.) from the database in advance and stores it in a cache. This information is managed based on the user ID. For example, the server retrieves attribute information for user ID "12345" using an SQL query and stores it in the cache.

[1479] The device then analyzes the user's voice and facial expressions using a camera and microphone to recognize their emotional state (e.g., joy, anger, sadness, etc.) in real time. The emotional state is analyzed using an emotion engine, and the information is sent to the server.

[1480] The server generates local information based on the acquired location information, user attribute information, and emotion information received from the emotion engine. For example, it uses a generative AI model to send the following prompt sentence:

[1481] "The user is feeling tired. They are currently located at latitude 35.682839 North and longitude 139.759455 East. Based on this location, please recommend some relaxing rest spots and tourist attractions."

[1482] To select advertising information related to the generated local information, the server selects advertisements corresponding to the location and emotion from the database, for example, using an SQL query to select advertisements for relaxation facilities and cafes.

[1483] Next, the server combines the generated local information with the selected advertising information and converts it into voice data. To do this, it uses a voice synthesis engine (e.g., Amazon Polly) to convert text to voice data.

[1484] The device receives the voice data sent from the server and plays it through the car's speakers. For example, it could play a voice message such as, "You are near Nagoya Castle. Hitsumabushi is a Nagoya specialty. Would you like to take a short break? There is a special discount at a nearby cafe."

[1485] Furthermore, the server generates a coupon based on the specific location information and emotion information and sends it to the terminal. The terminal notifies the user of the received coupon information and guides the user by saying, "You can use this coupon to receive a discount in the next service area." In this way, the present invention can provide optimal information and services according to the user's current emotion state.

[1486] This invention allows users to easily receive personalized information while on the road, thereby improving the driving experience.

[1487] The flow of the identification process in the second embodiment will be described with reference to FIG.

[1488] Step 1:

[1489] The device obtains location information using the vehicle's GPS sensor.

[1490] Specific operation: The device periodically reads GPS data (latitude and longitude) to obtain location information, for example, 35.682839 north latitude, 139.759455 east longitude.

[1491] Input: GPS sensor data

[1492] Output: Obtained location information (latitude and longitude)

[1493] Step 2:

[1494] The terminal transmits the acquired location information to the server.

[1495] Specific operation: The device converts the location information into JSON format and sends it to the server through an API endpoint.

[1496] Input: Obtained location information

[1497] Output: Location information sent to the server

[1498] Step 3:

[1499] The server retrieves user attribute information from the database in advance and stores it in a cache.

[1500] Specific operation: The server executes an SQL query based on the user ID to obtain information such as age, gender, hobbies, and interests. For example, the following SQL query is executed:

[1501] sql

[1502] SELECT age, gender, hobbies FROM user_attributes WHERE user_id = '12345';

[1503] Input: User ID

[1504] Output: Retrieved user attribute information

[1505] Step 4:

[1506] The server stores the attribute information in a cache.

[1507] What it does: The server stores the retrieved data in the Redis cache for fast access.

[1508] Input: Retrieved user attribute information

[1509] Output: Cached user attribute information

[1510] Step 5:

[1511] The device analyzes the user's voice and facial expressions using a camera and microphone, and an emotion engine recognizes the user's emotional state in real time.

[1512] Specific operation: The device uses a voice recognition engine (e.g., a voice recognition tool) and facial expression recognition AI (e.g., an open-source image processing library) to detect the user's emotional state, such as joy, anger, sadness, or happiness.

[1513] Input: User's voice data, facial expression data

[1514] Output: Emotional state data

[1515] Step 6:

[1516] The device transmits the emotion information to the server.

[1517] Specific behavior: Emotion data is also converted to JSON format and sent to a specific API endpoint via a POST request.

[1518] Input: Emotional state data

[1519] Output: Emotion information sent to the server

[1520] Step 7:

[1521] The server generates local information based on location information, user attribute information, and emotional information.

[1522] Specific operation: The server sends the following prompt sentence to the generative AI model (e.g., natural language generation model):

[1523] text

[1524] "The user is feeling tired. They are currently located at latitude 35.682839 North and longitude 139.759455 East. Based on this location, please recommend some relaxing rest spots and tourist attractions."

[1525] Input: location information, user attribute information, emotional information

[1526] Output: Generated local information

[1527] Step 8:

[1528] The server selects relevant advertisements based on the acquired information.

[1529] Specific operation: The server uses an SQL query to select advertisements from the database that correspond to the location information and user emotions.

[1530] sql

[1531] SELECT FROM ads WHERE location = 'Tokyo' AND ( emotion = 'tired' OR interest = 'relaxation');

[1532] Input: location information, local information, emotional information

[1533] Output: Selected advertising information

[1534] Step 9:

[1535] The server converts the local information and advertising information into audio data.

[1536] Specific operation: The server uses a speech synthesis API (e.g., a speech synthesis tool) to convert the following text into audio data.

[1537] text

[1538] "We're near Nagoya Castle. Hitsumabushi is a Nagoya specialty. Would you like to take a break? There's a special discount at a nearby cafe."

[1539] Input: Local information, advertising information

[1540] Output: Audio data

[1541] Step 10:

[1542] The device receives the audio data sent from the server and plays it through the car's speakers.

[1543] Specific operation: The device receives audio data via an HTTP request and plays it using the audio player library.

[1544] Input: Audio data

[1545] Output: Played audio information

[1546] Step 11:

[1547] The server generates a coupon based on the specific location information and emotion information and transmits it to the terminal.

[1548] Specific operation: The server generates a coupon code based on the advertising data and sends it to the terminal in JSON format.

[1549] Input: location information, emotion information

[1550] Output: Generated coupon information

[1551] Step 12:

[1552] The terminal notifies the user of the coupon information.

[1553] Specific operation: The device uses the push notification function to notify the user, "You can use this coupon to receive a discount in the next service area."

[1554] Input: Coupon information

[1555] Output: Coupon information notified to user

[1556] (Application example 2)

[1557] 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."

[1558] In autonomous vehicles, there is a need to provide personalized information and advertisements based on the user's emotions and interests to improve the driving experience. In particular, it is a challenge to increase comfort and satisfaction by providing information that corresponds to the user's emotional state during long-distance driving.

[1559] The identification process by the identification processing unit 290 of the data processing device 12 in Application Example 2 is realized by the following means. In this invention, the server includes a means for acquiring location information, a means for acquiring user attribute information, a means for recognizing the user's emotional state, a generation device that generates local information based on the acquired location information, user attribute information, and the user's emotional state, an advertisement selection device that selects advertising information related to the generated local information, a voice synthesis device that converts the local information and advertising information into voice data, and a playback device that plays back the voice data. This makes it possible to provide information and select advertisements according to the user's emotions.

[1560] The "location information acquisition means" is a device for acquiring the current location of the vehicle using a GPS sensor or the like.

[1561] The "user attribute information acquisition means" is a device or function for acquiring user attribute information such as age, sex, hobbies, and interests from a database.

[1562] The "emotional state recognition means" is a device or function that analyzes the user's voice and facial expressions and recognizes the user's emotional state in real time.

[1563] The "generation device" is a device that generates local information based on the acquired location information, user attribute information, and the user's emotional state.

[1564] The "advertising selection device" is a device for selecting advertising information related to the generated local information.

[1565] A "voice synthesizer" is a device that converts local information and advertising information into voice data.

[1566] A "playback device" is a device that plays back audio data through an in-vehicle speaker.

[1567] A "coupon generating means" is a device or function for generating a coupon based on specific location information and emotional state and notifying the user of the coupon.

[1568] The present invention relates to a system for providing personalized information and displaying advertisements in an autonomous vehicle. The specific configuration and operation procedure of this system will be described below.

[1569] Hardware and Software Configuration

[1570] This system is configured using the following hardware and software.

[1571] Location information acquisition means: The current location information of the vehicle is acquired using a GPS sensor.

[1572] Method for obtaining user attribute information: Obtain user attribute information such as age, gender, hobbies, and interests from the user database (e.g., user_database).

[1573] Emotional state recognition means: Using the in-car camera and microphone, the user's emotional state is recognized using a module that performs voice analysis and facial expression analysis (e.g., emotion_recognition).

[1574] Generator: A device that generates local information based on location information, user attribute information, and emotional state (e.g., info_generator).

[1575] Advertisement selection device: A device that selects advertisements related to the generated local information (e.g., ad_selector).

[1576] Speech synthesizer: A speech synthesis engine that converts local information and advertising information into voice data (e.g., text_to_speech).

[1577] Playback device: A device that plays back audio data using the vehicle's speakers.

[1578] Coupon generation means: A coupon generation module (e.g., coupon_generator) is used to generate a coupon based on specific location information and emotional state and notify the user.

[1579] System operation procedure

[1580] 1. Obtaining location information: The server periodically obtains the vehicle's current location via the GPS sensor.

[1581] 2. Obtaining user attribute information: The server obtains attribute information from the user database based on the user ID and stores it in a cache.

[1582] 3. Emotional state recognition: The device uses the camera and microphone to analyze the user's emotional state in real time and transmits the information to the server.

[1583] 4. Information generation: The server generates local information based on the location information, user attribute information, and emotional state. For example, if the user is tired, it generates information on rest spots and places where they can relax.

[1584] 5. Advertisement selection: The server selects appropriate advertisement information based on location information, user attribute information, and emotional state.

[1585] 6. Voice generation: The server combines the generated local information and advertising information and converts it into voice data using a voice synthesis engine.

[1586] 7. Audio playback: The device receives the audio data sent from the server and plays it through the car's speakers. The timing and content of playback are dynamically adjusted based on the user's driving situation and emotional state.

[1587] 8. Coupon generation: The server generates a coupon based on specific location and emotion information and sends it to the device. The device then notifies the user of the received coupon information and encourages them to use it.

[1588] Specific examples

[1589] For example, if a user is driving a long distance and approaches a particular tourist spot, and the server detects that the user is feeling tired, it will execute the following steps:

[1590] The server recognizes that the user's current location is near a tourist attraction.

[1591] The system takes into account the user's emotional state (feeling tired) and user attribute information (interests and preferences) to generate appropriate rest spots and related information.

[1592] The server selects advertisements and coupon information for nearby cafes.

[1593] The server converts this information into voice data and generates a message such as, "You are near a tourist attraction. If you are tired, take a break at a nearby cafe. We have a coupon for a special discount."

[1594] Example prompt sentence:

[1595] Name: User123

[1596] Age: 34

[1597] Location: N34.0522, W118.2437

[1598] Emotion: Tired

[1599] Interests: Food, Culture

[1600] Generate: Local information and relevant ads.

[1601] In this way, it becomes possible to provide personalized information and display advertisements based on the user's emotions, providing a comfortable driving experience.

[1602] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[1603] Step 1:

[1604] The terminal periodically acquires the vehicle's current location using a GPS sensor. The location information acquisition means collects latitude and longitude data. This location information is sent to the server and used for further processing.

[1605] Step 2:

[1606] The server retrieves the user's attribute information from the user database. Using the user ID as a key, it searches for related attribute information (age, gender, hobbies, interests, etc.) and stores it in a cache. This provides the basic data for generating personalized information.

[1607] Step 3:

[1608] The device uses the in-car camera and microphone to analyze the user's facial expressions and voice to recognize their emotional state. The emotional data (e.g., joy, anger, sadness, etc.) analyzed by the emotional state recognition means is sent to the server. This data is used to generate subsequent information.

[1609] Step 4:

[1610] The server generates local information based on the acquired location information, user attribute information, and emotional state. Using the generating device, information on related tourist spots, restaurants, rest spots, etc. is generated. For example, if the user is recognized as tired, information on places where they can relax is generated. This generated local information is used in the next processing step.

[1611] Step 5:

[1612] The server selects advertising information based on the location information, user attribute information, and emotional state. Using an advertising selection device, advertisements related to the generated local information (e.g., advertisements for nearby cafes or tourist attractions) are selected. This advertising information is converted into audio data in the next processing step.

[1613] Step 6:

[1614] The server combines the generated local information with the selected advertising information and converts it into voice data using a speech synthesis engine. A message is generated using the speech synthesizer in a format that is easy for the user to understand. For example: "You are near a tourist attraction. If you are tired, take a break at a nearby cafe. We have a coupon for a special discount."

[1615] Step 7:

[1616] The terminal receives the voice data sent from the server and plays it through the car's speakers. Using a playback device, the timing and content are dynamically adjusted according to the user's driving situation and emotional state. Users can receive practical information through voice guidance in real time.

[1617] Step 8:

[1618] The server generates coupons based on specific location information and emotional state. Using the coupon generation means, it generates coupon information appropriate for the user's next destination and emotional state (e.g., fatigue) and sends it to the terminal. The terminal notifies the user of the received coupon and encourages them to use it. Example: "You can use this coupon to receive a discount in the next service area."

[1619] Based on this series of steps, users can receive personalized information in self-driving vehicles and enjoy a comfortable driving experience.

[1620] 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.

[1621] 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.

[1622] 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.

[1623] 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.

[1624] FIG. 9 is a diagram illustrating 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 actions 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.

[1625] 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.

[1626] 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).

[1627] 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.

[1628] 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."

[1629] 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.

[1630] 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).

[1631] 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.

[1632] 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.

[1633] 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.

[1634] 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.

[1635] 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.

[1636] 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.

[1637] 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.

[1638] 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.

[1639] 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.

[1640] 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.

[1641] The following is further disclosed regarding the above embodiment.

[1642] (Claim 1)

[1643] A means for acquiring location information;

[1644] A means for acquiring user attribute information;

[1645] a generating device that generates local information based on the acquired location information and user attribute information;

[1646] an advertisement selection device that selects advertisement information related to the generated local information;

[1647] a voice synthesizer that converts local information and advertising information into voice data;

[1648] a playback device that plays back audio data;

[1649] A system including:

[1650] (Claim 2)

[1651] 10. The system of claim 1, further comprising means for generating a coupon based on specific location information and notifying the user of the coupon.

[1652] (Claim 3)

[1653] 2. The system according to claim 1, further comprising means for generating text data by combining the generated local information and advertising information.

[1654] "Example 1"

[1655] (Claim 1)

[1656] A means for acquiring location information;

[1657] A means for acquiring user attribute information;

[1658] an information generating means for generating local information based on the acquired location information and user attribute information;

[1659] an information selection means for selecting advertising information related to the generated local information;

[1660] a voice data generating means for converting local information and advertising information into voice data;

[1661] means for playing audio data;

[1662] means for generating a coupon based on specific location information and notifying the user;

[1663] a means for determining the timing of regeneration based on the driving conditions;

[1664] A system including:

[1665] (Claim 2)

[1666] 2. The system according to claim 1, further comprising means for generating text data by combining the generated local information and advertising information.

[1667] (Claim 3)

[1668] 10. The system of claim 1, further comprising means for generating local information using a generative AI model.

[1669] "Application Example 1"

[1670] (Claim 1)

[1671] A means for acquiring location information;

[1672] A means for acquiring user attribute information;

[1673] a generating device that generates local information based on the acquired location information and user attribute information;

[1674] an advertisement selection device that selects advertisement information related to the generated local information;

[1675] a voice synthesizer that converts local information and advertising information into voice data;

[1676] a playback device that plays back audio data;

[1677] means for providing the generated voice data together with coupon information;

[1678] A means for generating local information and advertising information using a generative AI model;

[1679] a means for generating a prompt sentence for the generative AI model;

[1680] A system including:

[1681] (Claim 2)

[1682] 10. The system of claim 1, further comprising means for generating a coupon based on specific location information and notifying the user.

[1683] (Claim 3)

[1684] 2. The system according to claim 1, further comprising means for generating text data by combining the generated local information and advertising information.

[1685] "Example 2: Combining Emotion Engines"

[1686] (Claim 1)

[1687] A means for acquiring location information;

[1688] A means for acquiring user attribute information;

[1689] A means of analyzing the user's voice and facial expressions to recognize their emotional state in real time,

[1690] A means for generating local information based on the acquired location information, user attribute information, and emotion information;

[1691] A means for selecting advertising information related to the generated local information;

[1692] means for converting local information and advertising information into audio data;

[1693] means for playing audio data;

[1694] A system including:

[1695] (Claim 2)

[1696] 10. The system of claim 1, further comprising means for generating a coupon based on specific location information and emotion information and notifying the user of the coupon.

[1697] (Claim 3)

[1698] 2. The system according to claim 1, further comprising means for generating audio data by combining the generated local information and advertising information.

[1699] "Application example 2 when combining emotion engines"

[1700] (Claim 1)

[1701] A means for acquiring location information;

[1702] A means for acquiring user attribute information;

[1703] a means for recognizing the emotional state of a user;

[1704] a generating device that generates local information based on the acquired location information, user attribute information, and emotional state of the user;

[1705] an advertisement selection device that selects advertisement information related to the generated local information;

[1706] a voice synthesizer that converts local information and advertising information into voice data;

[1707] a playback device that plays back audio data;

[1708] A system including:

[1709] (Claim 2)

[1710] 10. The system of claim 1, further comprising means for generating and notifying a user of a coupon based on specific location information and emotional state.

[1711] (Claim 3)

[1712] 2. The system according to claim 1, further comprising means for generating text data by combining the generated local information and advertising information and converting the text data into voice data. [Explanation of symbols]

[1713] 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 acquiring location information; A means for acquiring user attribute information; a generating device that generates local information based on the acquired location information and user attribute information; an advertisement selection device that selects advertisement information related to the generated local information; a voice synthesizer that converts local information and advertising information into voice data; a playback device that plays back audio data; A system including:

2. 10. The system of claim 1, further comprising means for generating a coupon based on specific location information and notifying the user of the coupon.

3. 2. The system according to claim 1, further comprising means for generating text data by combining the generated local information and advertising information.

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