System

Abstract

A system is provided.SOLUTION: A system comprising: means for obtaining location information of a user when the user connects to a wireless internet spot; means for selecting relevant information based on the obtained location information; and means for notifying a messaging application of the user of the selected 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] Conventional methods of providing information to customers at large facilities and stores have been one-way, making it difficult to provide timely and appropriate information tailored to the location and interests of individual users. As a result, customer satisfaction has declined and facilities and stores have been unable to fully utilize their customer attraction capabilities. Furthermore, conventional methods have required a large amount of human resources, making it difficult to carry out efficient marketing activities. [Means for solving the problem]

[0005] The present invention provides a system that includes a means for acquiring location information of a user when the user connects to a wireless internet spot, a means for selecting relevant information based on the acquired location information, and a means for promoting the selected information to the user's messaging application. The promotional information includes restaurant information, directions, or discount coupons based on the user's location, and uses the wireless internet spot's identification information as a means for acquiring location information. The messaging application includes a function for providing concierge services and uses chat artificial intelligence to provide the selected information. This system allows users to receive appropriate information tailored to the situation in real time, enabling facilities and stores to conduct efficient and effective marketing activities.

[0006] "User" means an individual or entity that uses the System to connect to a wireless Internet spot and receive information.

[0007] A "wireless internet spot" is a specific location that provides internet connectivity using wireless communication such as Wi-Fi.

[0008] "Location information" is data that indicates the specific location or area where the user is currently located.

[0009] The term "means" refers to an instrument, device, software, or combination thereof required to carry out the present invention.

[0010] "Relevant information" is data or content that is appropriate to be provided to a user based on the user's location.

[0011] A "messaging application" is software that allows you to send and receive messages over an Internet connection.

[0012] A "push notification" is a notification message sent directly from the server to a user's messaging application.

[0013] "Gourmet information" refers to data such as restaurant information, menus, and ratings related to food.

[0014] "Directions" are route information and associated instructions for a user to reach a destination.

[0015] A "Discount Coupon" is a digital or physical voucher representing a discount available on the purchase of a qualifying product.

[0016] "Identification information" is unique data that distinguishes a wireless internet spot from other spots.

[0017] A "concierge service" is an electronic service that provides users with a variety of information and support.

[0018] "Chat AI" is an AI system that automatically conducts conversations using natural language processing technology. [Brief explanation of the drawings]

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

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

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

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

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

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

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

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

[0027] [First embodiment]

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

[0029] 1, a data processing system 10 includes a data processing device 12 and a smart device 14. An example of the data processing device 12 is a server.

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

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

[0032] The reception device 38 includes a touch panel 38A, a microphone 38B, and the like, and receives user input. The touch panel 38A detects contact with an indicator (for example, a pen or a finger) to receive user input by the touch of the indicator. The microphone 38B detects the user's voice to receive user input by voice. The control unit 46A transmits data indicating the user input received by the touch panel 38A and the microphone 38B to the data processing device 12. In the data processing device 12, the specific processing unit 290 acquires the data indicating the user input.

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

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

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

[0036] 2, in the data processing device 12, a specific process is performed by the processor 28. A specific processing program 56 is stored in the storage 32. The specific processing program 56 is an example of a "program" according to the technology of the present disclosure. The processor 28 reads the specific processing program 56 from the storage 32 and executes the read specific processing program 56 on the RAM 30. The specific process is realized by the processor 28 operating as a specific processing unit 290 in accordance with the specific processing program 56 executed on the RAM 30.

[0037] The storage 32 stores a data generation model 58 and an emotion identification model 59. The data generation model 58 and the emotion identification model 59 are used by the identification processing unit 290.

[0038] In the smart device 14, the processor 46 performs the reception output process. The storage 50 stores a reception output program 60. The reception output program 60 is used in conjunction with the specific processing program 56 by the data processing system 10. The processor 46 reads the reception output program 60 from the storage 50 and executes the read reception output program 60 on the RAM 48. The reception output process is realized by the processor 46 operating as the control unit 46A in accordance with the reception output program 60 executed on the RAM 48.

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

[0040] This invention is a system that acquires the user's location information when the user connects to a wireless internet spot in a large facility or store, and provides related information based on that location as a LINE notification. This system consists of a program that runs on the server side and operations on the terminal and user side.

[0041] Server Processing

[0042] The server detects when a user connects to a Wi-Fi spot within the facility. The server obtains the user's location information based on the Wi-Fi spot's identification information. This location information is used to identify the user's current location by matching it with specific areas within the facility stored in a database. The server then selects relevant information based on the obtained location information. This relevant information may include restaurant information, directions, discount coupons, etc.

[0043] The selected information is sent to the user's LINE account as a notification using the LINE API. By using the LINE API, the server can create the message content and send it to the user in the appropriate format, allowing the user to easily receive notification messages.

[0044] Terminal Processing

[0045] When a user connects to a Wi-Fi spot within a facility, the device sends connection information to the server. This procedure provides the server with information to obtain the user's location. The LINE app on the device also receives the notification from the server and displays it to the user. The LINE app displays the notification in the default notification format, and the user can tap to view more information.

[0046] User Actions

[0047] As a specific example, consider the case where a user visits a large shopping mall. First, the user connects to the mall's Wi-Fi with their smartphone. At this time, the device sends connection information to the server. The server identifies the user's location from the Wi-Fi connection information and confirms that the user is near the food court, for example. Next, the server selects restaurant information and coupons near the food court from a database and creates a LINE recommendation notification with the message "Hello! We have coupons for recommended restaurants near the food court!" This message is sent to the user via the LINE API. The user receives the notification in the LINE app, taps to check the details, and decides what to do based on the information provided.

[0048] This system allows users to receive the information they need in real time, enabling them to use the facility comfortably, while also enabling the facility or store to carry out efficient and effective marketing activities.

[0049] The processing flow will be explained below.

[0050] Step 1:

[0051] Subject: User

[0052] Users connect to Wi-Fi spots inside large facilities or stores.

[0053] Step 2:

[0054] Subject: Device

[0055] The device obtains Wi-Fi connection information and sends it to the server.

[0056] Step 3:

[0057] Subject: Server

[0058] The server receives the Wi-Fi connection information sent from the device.

[0059] Step 4:

[0060] Subject: Server

[0061] The server obtains the user's location information based on the Wi-Fi spot's identification information. Specifically, it accesses a location database and identifies the area corresponding to the Wi-Fi spot.

[0062] Step 5:

[0063] Subject: Server

[0064] Based on the location information acquired by the server, the server selects relevant information, such as gourmet information, directions, and discount coupons for the area, from a database.

[0065] Step 6:

[0066] Subject: Server

[0067] The server creates a message using the LINE API based on the information selected. An example of the message content might be, "Hello! Here's a coupon for a recommended restaurant near the food court!"

[0068] Step 7:

[0069] Subject: Server

[0070] The server creates a message and sends it to the user's LINE account via the LINE API.

[0071] Step 8:

[0072] Subject: Device

[0073] The LINE app on the device receives the promotion notification message sent from the server.

[0074] Step 9:

[0075] Subject: User

[0076] The user checks the notification in the LINE app and taps the notification content to view more information.

[0077] Step 10:

[0078] Subject: User

[0079] Based on the information provided, the user decides to take action, such as using a coupon to enjoy a meal at a restaurant.

[0080] The above is a series of processing steps in the system of the present invention. This system allows users to receive necessary information in real time, and facilities and stores can also carry out efficient marketing activities.

[0081] Example 1

[0082] 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."

[0083] Currently, many large facilities and stores offer wireless internet spots for their users, but they only provide the wireless internet connection itself and do not provide appropriate information based on the user's current location. This means that users cannot receive the information they need in real time within the facility, making it difficult to shop and use the facility efficiently.

[0084] 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.

[0085] In this invention, the server includes: means for transmitting connection information when a terminal connects to a wireless Internet spot; means for the server to acquire the user's location information using the wireless Internet spot's identification information; means for the server to select relevant information from a database based on the acquired location information; means for the server to notify the selected information to the user using a messaging application's API; and means for the terminal to receive and display the notification. This allows users to receive appropriate information based on their location in real time within the facility, realizing efficient and convenient facility use. It also enables the facility to provide effective information and marketing based on the user's location.

[0086] "Terminal" means a user's mobile device that can connect to a wireless Internet spot.

[0087] A "wireless internet spot" is an access point located in a specific area that provides Wi-Fi.

[0088] "Connection information" refers to data such as the SSID and MAC address that is sent when a device connects to a wireless Internet spot.

[0089] A "server" is a computer system that receives user connection information, acquires location information, and selects related information.

[0090] "Location information" refers to information about the user's current location, which is identified based on the identification information of the wireless Internet spot.

[0091] "Wireless Internet spot identification information" refers to an identification number or name unique to each access point.

[0092] "Related information" refers to content such as store information, route information, or preferential treatment information selected based on the user's location information.

[0093] A "database" is a data management system that stores related information, location information, etc., and allows for searching and retrieval as needed.

[0094] A "messaging application API" is an interface for sending data from an external server or system to a messaging application.

[0095] "Promotion notifications" are reminder messages or notifications sent from the server to the user via a messaging application.

[0096] The "means for displaying a notification" refers to a function in which a messaging application installed on a user's device receives a notification and visually notifies the user.

[0097] This system acquires location information when a user connects to a wireless internet spot in a large facility or store, and provides relevant information based on the acquired location information as a push notification via a messaging application. This system consists of a program executed on the server side and operations on the terminal and user side.

[0098] Server-side processing

[0099] The server runs the system through the following steps:

[0100] 1. Wi-Fi connection detection

[0101] The server receives connection information sent from the user's device connecting to the wireless Internet spot. This connection information includes the SSID, MAC address, etc. Based on this information, the server recognizes which wireless Internet spot the user's device is connected to.

[0102] 2. Obtaining location information

[0103] The server uses the received wireless Internet spot identification information to obtain the user's location information from a database, which stores information about the area within the facility that corresponds to each spot. This information identifies the area within the facility where the user is located.

[0104] 3. Selection of relevant information

[0105] The server selects relevant information from its database based on the identified area, including store information, route information, special offers, etc. The selected information is most relevant to the user's current location.

[0106] 4. Sending push notifications

[0107] The server uses the API of the messaging application to send the selected information to the user as a push notification. To this end, the server organizes the selected information, converts it into an appropriate message format, and sends it.

[0108] Terminal side processing

[0109] The terminal executes the following process.

[0110] 1. Sending Wi-Fi connection information

[0111] When a user's device connects to a wireless Internet spot within the facility, the connection information is automatically sent to the server, which then uses this information to identify the user's location.

[0112] 2. Receiving and displaying push notifications

[0113] The push notification sent from the server is received by the messaging application installed on the user's device. The messaging application displays the push notification to the user using a standard notification format. When the user taps the notification, detailed information is displayed.

[0114] Specific examples of user actions

[0115] For example, when a user visits a large shopping mall, the system operates as follows.

[0116] 1. A user connects to the shopping mall's Wi-Fi using their smartphone.

[0117] 2. The device sends the connection information to the server. For example, the connection SSID is "Mall_Free_WiFi" and the MAC address is "00:0a:95:9d:68:16".

[0118] 3. The server receives the connection information and identifies the corresponding area. In this case, we assume the user is near the food court.

[0119] 4. The server selects coupons and recommended menu items for nearby restaurants based on the food court information, and sends a notification to the user using the messaging application's API. For example, the message content might be, "We have coupons for recommended restaurants near the food court!"

[0120] 5. The messaging application receives the notification on the user's smartphone and displays a push notification to the user, who taps on the notification to view more information and decides to act based on the information provided.

[0121] Examples of prompt statements

[0122] "I'm in the food court at the mall. Can you recommend a restaurant or give me some coupon information?"

[0123] This system allows users to receive appropriate information based on their location in real time within the facility, making facility use more efficient and convenient.It also enables facilities to provide more effective information and marketing based on users' locations.

[0124] The flow of the identification process in the first embodiment will be described with reference to FIG.

[0125] Step 1:

[0126] Detecting Wi-Fi connections and sending connection information (device)

[0127] When a device connects to a Wi-Fi hotspot within a facility, the connection information is automatically sent to the server, including the SSID (network name) and MAC address (physical address).

[0128] Input: Wi-Fi connection information of the device (SSID, MAC address)

[0129] Data processing: The device converts the connection information into packets to send to the server.

[0130] Output: Connection information in the form of packets sent to the server

[0131] Step 2:

[0132] Receiving connection information and obtaining location information (server)

[0133] The server receives the connection information sent from the terminal, and then retrieves the user's location information from the database using the wireless Internet spot's identification information.

[0134] Input: Connection information sent from the device (SSID, MAC address)

[0135] Data processing: The server analyzes the received connection information and extracts the SSID and MAC address.

[0136] Data calculation: Based on the extracted identification information, the database is queried to obtain the corresponding area information.

[0137] Output: User location information (e.g. food court, entrance, etc.)

[0138] Step 3:

[0139] Selection of relevant information based on location information (server)

[0140] The server selects relevant information from a database based on the acquired location information, including information on nearby stores, routes, and special offers.

[0141] Input: User's location

[0142] Data processing: Filter relevant information based on location information.

[0143] Data calculations: Selecting the most relevant information from the filtered information.

[0144] Output: Selected relevant information (e.g., restaurant coupons, sales information for specific stores)

[0145] Step 4:

[0146] Generate and send push notifications (server)

[0147] The server uses the messaging application's API to send the selected information to the user as a push notification, formatting the message content appropriately.

[0148] Input: Selected relevant information

[0149] Data processing: Converting relevant information into a messaging application API format.

[0150] Output: Push notification message sent to the user's device

[0151] Step 5:

[0152] Receiving and displaying push notifications (device)

[0153] The device receives a push notification from the server and displays it in the messaging application. The user can tap the notification to view more information.

[0154] Input: Push notification from the server

[0155] Data processing: Messages are formatted by messaging applications to display push notifications in a user-friendly format.

[0156] Output: A visual notification message displayed on the terminal.

[0157] Specific operation example

[0158] 1. The user enters the facility

[0159] A user visits a large shopping mall with their smartphone.

[0160] 2. Connect to Wi-Fi

[0161] When a user connects to the free Wi-Fi at a shopping mall, the device sends the SSID "Mall_Free_WiFi" and MAC address "00:0a:95:9d:68:16" to the server.

[0162] 3. Sending information to the server

[0163] The server receives these connection information and retrieves the location information from a database.

[0164] 4. Starting the server process

[0165] The server identifies the user's current location as "food court."

[0166] 5. Selection of relevant information

[0167] The server retrieves coupon information for restaurants near the food court from a database and formats it as a push notification message.

[0168] 6. Sending push notifications

[0169] The server formats the message and sends it to the device via the messaging application's API.

[0170] 7. Receiving and Displaying Notifications

[0171] The device receives the notification from the server and displays a push notification to the user saying, "We have a coupon for a recommended restaurant near the food court!"

[0172] Users can tap on this notification to view more information and decide what to do based on the information provided.

[0173] (Application example 1)

[0174] 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."

[0175] With conventional systems, it was difficult to provide users with the information they needed at the right time in large commercial facilities and stores, making it difficult to improve user convenience.In addition, there was a lack of means to improve the marketing effectiveness of stores by providing users with promotional information for each store in real time.

[0176] 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.

[0177] In this invention, the server includes: means for acquiring location information of a user when the user connects to a wireless Internet spot; means for selecting relevant information based on the acquired location information; means for notifying the selected information to the user's messaging application; means for providing an application program for sending the selected information to the user's messaging application as a notification; means for using a generative AI model to generate content of the information to be sent to the messaging application; means for inputting a prompt to the generative AI model to generate content of the information; and means for creating a notification message based on the generated information. This allows users to receive necessary information in real time, enabling facilities and stores to carry out effective marketing activities.

[0178] A "wireless internet spot" is an access point that provides wireless internet connectivity at a specific location.

[0179] "Location information" is digital data that indicates the location where a user is physically located.

[0180] "Related information" is useful data such as gourmet information, directions, discount coupons, or promotional information selected based on the user's location information.

[0181] A "messaging application" is a software application that allows users to send and receive messages, such as LINE.

[0182] "Notification" means a notification message that the system automatically sends to the user.

[0183] An "application program" is software designed to perform a specific task.

[0184] A "generative AI model" is an artificial intelligence model that generates specific output data based on input data (prompt sentences).

[0185] A "prompt sentence" is an instruction sentence input to a generative AI model.

[0186] A "notification message" is a message containing information that is sent to a user.

[0187] A "server" is a computer system that provides services to clients over a network.

[0188] This invention is a system that acquires the user's location information when the user connects to a wireless internet spot in a large facility or store, and provides related information based on that location as a LINE notification. This system consists of a program that runs on the server side and operations on the terminal and user side.

[0189] Server Processing

[0190] The server detects when a user connects to a Wi-Fi spot within the facility. The server obtains the user's location information based on the Wi-Fi spot's identification information. This location information is used to identify the user's current location by matching it with specific areas within the facility stored in a database. The server then selects relevant information based on the obtained location information. This relevant information includes restaurant information, directions, discount coupons, and promotional information for each store. To generate this relevant information, a generative AI model is used, and a prompt sentence is input to generate information with appropriate content.

[0191] An example of a prompt to be input into the generative AI model is, "Please create a message to send recommended restaurant coupons to users near the food court of a shopping mall. Please include the details of the coupon and an effective catchphrase to attract the user's interest." Based on this prompt, the generative AI model generates relevant information, and then uses the LINE API to send a notification message to the user's LINE account.

[0192] Terminal Processing

[0193] When a user connects to a Wi-Fi spot in a facility, the user's device sends the connection information to the server. This procedure provides the server with information to obtain the user's location. The device also receives a notification from the server and displays it to the user.

[0194] User Actions

[0195] As a specific example, consider the case where a user visits a large shopping mall. First, the user connects to the mall's Wi-Fi with their smartphone. At this time, the device sends connection information to the server. The server identifies the user's location from the Wi-Fi connection information and confirms that the user is near the food court, for example. Next, the server uses a generative AI model to generate restaurant information and coupons near the food court, and enters a prompt text to create a message such as "Hello! We have coupons for recommended restaurants near the food court!" This message is sent to the user via the LINE API. The user receives a notification in the LINE app, taps to check the details, and decides what to do based on the information provided.

[0196] Hardware and software used

[0197] Smartphone: Device carried by the user (iOS, Android)

[0198] Wi-Fi Spot: Wireless network in shopping malls

[0199] Server: Remote server (AWS, Google Cloud) that processes location information and notification messages

[0200] LINE API: API for sending push notifications to users

[0201] Generative AI models: AI systems that generate information content (e.g., OpenAI GPT-3)

[0202] This allows users to receive the information they need in real time and use the facility comfortably, while also enabling the facility or store to carry out efficient and effective marketing activities.

[0203] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[0204] Step 1:

[0205] The server detects when a user connects to a wireless Internet spot (Wi-Fi spot), receives connection data as input to acquire the user's location information, and recognizes that the user is in a specific area.

[0206] Step 2:

[0207] When a user connects to a Wi-Fi spot, the device sends the connection information to the server. The input is the Wi-Fi connection information, and the output is the user's current location (e.g., near the food court).

[0208] Step 3:

[0209] The server uses the acquired connection information to identify the user's location from the wireless Internet spot's identification information and compares that location information with a database. This location information corresponds to a specific area within the facility. The input is the Wi-Fi spot's identification information and connection data, and the output is the identified area information.

[0210] Step 4:

[0211] The server selects relevant information (e.g., restaurant information, directions, discount coupons) based on the acquired location information. For this selection, a generative AI model is used to generate the content of the information by inputting a prompt. The input is the location information and the prompt, and the output is the generated relevant information.

[0212] Step 5:

[0213] The server inputs a prompt to the generative AI model: "Please create a message to send recommended restaurant coupons to users near the food court in the shopping mall. Please include the details of the coupon and an effective catchphrase to attract the user's interest." The server then generates an appropriate message using the relevant information. The input is the prompt, and the output is the generated message.

[0214] Step 6:

[0215] The server creates a notification message based on the generated message and sends it to the user's LINE account using the LINE API. The input is the generated message, and the output is the notification message sent via the LINE API. Specifically, the server uses the LINE API to send the notification message to the user.

[0216] Step 7:

[0217] The user's device receives the notification sent from the server and displays it in the LINE app. The user can tap it to view more information. The input is the notification message, and the output is the notification displayed in the LINE app.

[0218] Through the above processing steps, users can receive information about the facility in real time, allowing them to enjoy a convenient and comfortable shopping experience, while also enabling the facility or store to carry out efficient and effective marketing activities.

[0219] 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.

[0220] This invention is a system that acquires location and emotional information of users when they connect to a wireless internet spot in a large facility or store, and provides related information based on this information as LINE notifications. This system consists of a program that runs on the server side and operations on the terminal and user side.

[0221] Server Processing

[0222] The server detects that a user has connected to a Wi-Fi spot within the facility. The server obtains the user's location information based on the Wi-Fi spot's identification information. This location information is used to identify the user's current location by matching it with specific areas within the facility stored in a database. The server then uses an emotion engine to recognize the user's emotion based on the data obtained from the device. Based on this emotion information, the server selects related information in combination with the obtained location information. This related information may include restaurant information, directions, discount coupons, etc.

[0223] The selected information is sent to the user's LINE account as a notification using the LINE API. By using the LINE API, the server can create message content and send it to the user with an appropriate tone and content based on the emotional information.

[0224] Terminal Processing

[0225] When a user connects to a Wi-Fi spot within a facility, the device sends Wi-Fi connection information and the user's emotional data (e.g., facial recognition and voice analysis using the camera and microphone) to the server. This procedure provides the server with information to obtain the user's location and emotional information. The LINE app on the device also receives the notification sent from the server and displays it to the user. The LINE app displays the notification in the default notification format, and the user can tap it to view more information.

[0226] User Actions

[0227] As a specific example, consider the case where a user visits a large shopping mall. First, the user connects to the mall's Wi-Fi with their smartphone and acquires emotional data through the device's camera and microphone. At this time, the device sends the connection information and emotional data to the server. The server identifies the user's location from the Wi-Fi connection information and confirms, for example, that the user is near the food court. Next, it uses an emotion engine to recognize the user's emotional state, such as "hunger" or "tired." Based on this emotional information, the server selects restaurant information and coupons near the food court from a database and creates a LINE recommendation message saying, "Hello! You look tired. We have coupons for recommended restaurants near the food court!" This message is sent to the user via the LINE API. The user receives the notification in the LINE app, taps it to check the details, and decides what to do based on the information provided.

[0228] This system allows users to receive the information they need in real time and enjoy services that suit their emotional state, while also enabling facilities and stores to carry out efficient and effective marketing activities.

[0229] The processing flow will be explained below.

[0230] Step 1:

[0231] Subject: User

[0232] Users connect to Wi-Fi spots inside large facilities or stores.

[0233] Step 2:

[0234] Subject: Device

[0235] The device obtains Wi-Fi connection information and sends it to the server.

[0236] Step 3:

[0237] Subject: Device

[0238] The device uses a camera and microphone to acquire emotional data about the user, including facial recognition information and voice analysis data.

[0239] Step 4:

[0240] Subject: Device

[0241] The acquired emotion data is sent to the server.

[0242] Step 5:

[0243] Subject: Server

[0244] The server receives the Wi-Fi connection information sent from the device.

[0245] Step 6:

[0246] Subject: Server

[0247] The server obtains the user's location information based on the Wi-Fi spot's identification information. Specifically, it accesses a location database and identifies the area corresponding to the Wi-Fi spot.

[0248] Step 7:

[0249] Subject: Server

[0250] The server receives the emotion data transmitted from the terminal.

[0251] Step 8:

[0252] Subject: Server

[0253] The server uses an emotion engine to recognize the user's emotions from the acquired emotion data, which may include, for example, "hunger," "tiredness," or "joy."

[0254] Step 9:

[0255] Subject: Server

[0256] The server selects relevant information based on the recognized emotion and location information, specifically searching the database for information on restaurants, directions, discount coupons, and other information in the area.

[0257] Step 10:

[0258] Subject: Server

[0259] A message is created using the LINE API based on the information selected by the server. The message content is dynamically changed based on the emotional information.

[0260] Step 11:

[0261] Subject: Server

[0262] The server sends the created message to the user's LINE account via the LINE API.

[0263] Step 12:

[0264] Subject: Device

[0265] The LINE app on the device receives the promotion notification message sent from the server.

[0266] Step 13:

[0267] Subject: User

[0268] The user checks the notification in the LINE app and taps the notification content to view more information.

[0269] Step 14:

[0270] Subject: User

[0271] Based on the information provided, the user decides to take action, such as using a coupon to enjoy a meal at a restaurant.

[0272] The above is a series of processing steps for the system that combines the emotion engine of this invention. This system enables users to receive services based on location information and emotion information in real time, and also enables facilities and stores to carry out efficient and effective marketing activities.

[0273] Example 2

[0274] 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."

[0275] Although conventional systems can obtain location information when users connect to a wireless internet hotspot, they are unable to provide appropriate information based on the user's emotional state. This makes it difficult to provide real-time information tailored to the user's specific needs. Furthermore, the effectiveness of marketing activities at locations where wireless internet hotspots are used is limited.

[0276] 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.

[0277] In this invention, the server includes means for acquiring location information of a user when the user connects to a wireless Internet hotspot, means for selecting relevant information based on the acquired location information and the user's emotion data, and means for notifying the selected information to the user's messaging application, thereby enabling provision of appropriate information according to the user's current location and emotion.

[0278] A "wireless Internet spot" is a wireless access point that users use to connect to the Internet.

[0279] "Location information" refers to information about the user's current location, which is determined based on the identification information of the wireless Internet spot.

[0280] "Emotion data" is information that indicates the emotional state of a user, obtained from the user's facial expressions, voice, etc.

[0281] "Relevant information" refers to gourmet information, directions, discount coupons and other useful information that is tailored to the user and selected based on the user's location and emotional data.

[0282] "Messaging application" means an application that sends and receives text messages and multimedia messages over the Internet, including, for example, LINE and other similar applications.

[0283] "Prompt Notification" means an automated notification message sent from a server to a user's messaging application containing relevant information.

[0284] A "server" is an information processing device that processes data acquired from wireless Internet spots and terminals, and selects and notifies related information.

[0285] A "terminal" is a user's mobile device or computer that connects to a wireless internet spot, acquires emotion data, and transmits it to the server.

[0286] This system acquires location and emotional information from users when they connect to a wireless internet spot in a large facility or store, and provides relevant information based on this information as notifications in a messaging application. This system consists of a program running on the server and operations on the terminal and user side.

[0287] Server Processing

[0288] The server detects when a user connects to a wireless Internet spot within the facility. The server obtains the user's location information based on the identification information of the wireless Internet spot. This location information is used to identify the user's current location by matching it with specific areas within the facility stored in a database.

[0289] Next, the server uses an emotion engine to recognize the user's emotions based on the data acquired from the device. This emotion engine uses a general emotion analysis API (e.g., emotion analysis API). Based on this emotion information, the server combines it with the acquired location information to select related information. This related information includes restaurant information, directions, discount coupons, etc.

[0290] The selected information is sent to the user's messaging application as a notification using a messaging API (e.g., messaging API). The server can create message content and send it to the user with an appropriate tone and content based on the emotional information.

[0291] Terminal Processing

[0292] When a user connects to a wireless Internet spot within the facility, the device sends wireless Internet connection information and the user's emotional data to the server. The emotional data is acquired using the device's camera and microphone. For example, a general vision API (e.g., Vision API) or voice analysis API (e.g., Voice Analysis API) is used. This procedure provides the server with data to acquire the user's location information and emotional information.

[0293] The messaging application on the device also receives the notification sent from the server and displays it to the user. The messaging application displays the notification in the default notification format, and the user can tap it to view more information.

[0294] User Actions

[0295] As a specific example, consider the case where a user visits a large shopping mall. First, the user connects to the shopping mall's wireless internet using a mobile device and acquires emotion data through the device's camera and microphone. At this time, the device transmits the connection information and emotion data to a server.

[0296] The server identifies the user's location from wireless internet connection information and determines, for example, that the user is near a food court. Next, it uses an emotion engine to recognize the user's emotional state, such as "hunger" or "tired." Based on this emotional information, the server selects restaurant information and coupons near the food court from a database and creates a notification message saying, "Hello! You look tired. We have coupons for recommended restaurants near the food court!" This message is sent to the user via a messaging API. The user receives the notification in their messaging application, taps to check the details, and decides what to do based on the information provided.

[0297] This system allows users to receive the information they need in real time and enjoy services that suit their emotional state, while also enabling facilities and stores to carry out efficient and effective marketing activities.

[0298] Example prompt sentence:

[0299] "Describe a system that provides real-time, relevant information based on a user's location and emotional state within a commercial facility. The system operates when the user has wireless internet access and has the ability to send push notifications using a messaging API."

[0300] The flow of the identification process in the second embodiment will be described with reference to FIG.

[0301] Step 1:

[0302] The device connects to a wireless internet spot.

[0303] Input: Wi-Fi connection request from the user's device

[0304] Output: Wi-Fi connection established and access point identification information

[0305] Specific operation: The device selects the SSID of the facility's wireless Internet spot and presses the connect button. The device obtains the access point's identification information (SSID and BSSID) and completes the connection.

[0306] Step 2:

[0307] The device acquires emotion data.

[0308] Input: User's facial and voice data

[0309] Output: Obtained emotion data

[0310] How it works: The device camera takes a picture of the user's face and the microphone records their voice. This data is then sent to an emotion analysis API to analyze their emotional state.

[0311] Step 3:

[0312] The device sends Wi-Fi connection information and emotion data to the server.

[0313] Input: Wi-Fi connection information, emotional data

[0314] Output: Data sent to the server

[0315] Specific operation: The device sends wireless Internet connection information (SSID, BSSID) and emotion data to the server using HTTPS.

[0316] Step 4:

[0317] The server obtains location information from Wi-Fi connection information.

[0318] Input: Wi-Fi connection information (SSID, BSSID)

[0319] Output: Obtained location information

[0320] Specific operation: The server compares the access point identification information with the facility map data stored in the database and determines the user's current location.

[0321] Step 5:

[0322] The server analyzes the emotional information using an emotion analysis API.

[0323] Input: Emotion data sent from the device

[0324] Output: Parsed emotion information

[0325] Specific operation: The server sends emotional data to the emotion analysis API and obtains the analysis results. For example, the server identifies the user's emotional state, such as "hunger" or "tired," based on the user's tone of voice and facial expression analysis results.

[0326] Step 6:

[0327] The server selects relevant information based on location and emotion information.

[0328] Input: location information, emotion information

[0329] Output: Selected relevant information (e.g., restaurant information, discount coupons)

[0330] Specific operation: The server searches the database for relevant information that matches the location information and emotion information and selects it. For example, if the user is in a "food court" and is determined to be "hungry," it selects coupon information for a nearby restaurant.

[0331] Step 7:

[0332] The server sends the selected information as a notification using a messaging API.

[0333] Input: Selected relevant information, user's messaging application ID

[0334] Output: The push notification message sent.

[0335] Specific operation: The server creates a message based on the selected information and sends it to the user's messaging application via the messaging API. The message content might be something like, "Hello! I see you're tired. Here's a coupon for a recommended restaurant near the food court!"

[0336] Step 8:

[0337] The device receives the notification and displays it to the user.

[0338] Input: The push notification message sent by the server

[0339] Output: The displayed notification message

[0340] What happens: The device's messaging application receives the notification and displays it on the screen. The user can tap the notification to view more information.

[0341] Step 9:

[0342] The user reviews the notification and decides to act based on the details.

[0343] Input: Content of the received notification message

[0344] Output: User behavior (e.g., going to a restaurant, using a coupon)

[0345] Specific behavior: The user checks the notification they received and decides what to do next based on the information provided (e.g., coupon details).

[0346] (Application example 2)

[0347] 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."

[0348] Conventional advertising delivery systems deliver ads based on the user's location information, but do not take into account the user's emotions. As a result, the information provided may be inappropriate or may not meet the user's needs, making it difficult to deliver effective targeted advertising.

[0349] 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 means for acquiring location information of a user when the user connects to a wireless communication spot, means for selecting relevant advertising information based on the acquired location information and emotional information, and means for notifying the selected advertising information to the messaging application of the user. This makes it possible to provide optimal advertising information based on not only the user's location information but also their emotional information, thereby achieving more effective targeted advertising.

[0350] A "wireless communication spot" is a wireless access point that allows users to connect to the Internet.

[0351] "Location information" is data on the physical location of the user, estimated based on the identification information of the wireless communication spot.

[0352] "Emotional information" is data about a user's emotional state obtained through facial recognition and voice analysis.

[0353] "Advertising information" is information about specific products or services selected based on the user's location information and emotional information.

[0354] A "messaging application" is application software that enables users to send and receive text messages and notifications over the Internet.

[0355] "Server" refers to a computer system that manages wireless communication spots and selects and transmits advertising information based on the user's location and emotional information.

[0356] "Sending a notification" means sending a notification to the user's messaging application and displaying the content to the user.

[0357] This invention is a system that acquires location and emotional information from users by connecting to wireless communication spots within commercial facilities or large-scale facilities, and provides appropriate advertising information as LINE push notifications based on this information. This system is mainly composed of server-side processing and device-side processing.

[0358] Server-side processing

[0359] The server detects that a user has connected to a wireless communication spot. At this time, the server obtains the user's location information based on the identification information of the wireless communication spot. Specifically, the server uses the Wi-Fi spot's SSID (Service Set Identifier) ​​and BSSID (Basic Service Set Identifier) ​​to identify the specific area where the user is located.

[0360] The server then receives the emotion data sent from the device and uses an emotion recognition engine to analyze the user's emotional state. For example, it can use facial recognition and voice analysis technology using the smartphone's camera and microphone to identify emotions such as "tired" or "hunger."

[0361] Based on this location information and emotion information, the server selects relevant advertising information. For example, if a user is near a food court and their emotion state is "tired," the server selects discount coupon information for nearby cafes and restaurants.

[0362] The selected advertising information is sent as a push notification to the user's LINE account using the LINE API, which allows the advertising message to be generated with the appropriate tone and content and provided to the user.

[0363] Terminal side processing

[0364] When a user connects to a wireless communication spot, the device (smartphone) sends connection information (SSID and BSSID) to the server. At the same time, emotion data acquired through the device's camera and microphone is also sent to the server.

[0365] This helps the server obtain the user's location and emotional information. The LINE app is also installed on the device, and has the function of receiving push notifications sent from the server. The user checks the notifications received through the LINE app and decides what to do based on the information obtained from them.

[0366] User Actions

[0367] As a specific example, consider the case where a user visits a large shopping mall. First, the user connects to the mall's Wi-Fi using their smartphone and sends the connection information to a server. Next, the smartphone's camera and microphone are used to capture the user's emotional data, which is also sent to the server.

[0368] The server identifies the user's location from Wi-Fi connection information and then analyzes the user's emotional state using an emotion engine. For example, if the user is "hungry" and "near the food court," the server selects nearby restaurant information and discount coupons from a database. This information is sent to the user via the LINE API as a message saying, "Hello! You look tired. Here are some coupons for recommended restaurants near the food court!"

[0369] Prompt Sentence Examples

[0370] "If the user is feeling tired, generate a message about a discount coupon for a nearby cafe."

[0371] As a result, users can receive advertising information that matches their emotional state in real time, making facility use more comfortable. Advertisers can also improve their targeting accuracy, enabling more effective advertising.

[0372] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[0373] Step 1:

[0374] A user connects to the Wi-Fi in a facility. The smartphone acquires the Wi-Fi connection information (SSID and BSSID). This information is sent to the server as identification information for the wireless communication spot. The input is the SSID and BSSID connection information, and the output is the data to be sent to the server.

[0375] Step 2:

[0376] The device (smartphone) uses a camera and microphone to acquire the user's emotional data. For example, facial recognition and voice analysis technology can be used to identify emotions such as "tired" or "hunger." The emotional data is sent to a server. The input is data from the device's camera and microphone, and the output is data containing emotional information.

[0377] Step 3:

[0378] The server receives the Wi-Fi connection information and emotion data sent from the device. The input is SSID and BSSID information and emotion data, and the output is the user's location information and emotion information. The server identifies a specific area within the facility from a database based on the Wi-Fi spot's identification information and obtains the location information.

[0379] Step 4:

[0380] The server uses an emotion recognition engine to analyze the received emotion data and identify the user's emotional state. The input is emotion data, and the output is analyzed emotion information. This identifies the user's current emotional state (e.g., "tired" or "hungry").

[0381] Step 5:

[0382] The server selects relevant advertising information based on the acquired location information and emotion information. For example, if a user is "near a food court" and feels "tired," it selects discount coupons for nearby cafes and restaurants from a database. The input is location information and emotion information, and the output is the selected advertising information.

[0383] Step 6:

[0384] The server uses the LINE API to create the selected advertising information and sends it as a push notification message to the user's LINE account. The input is the selected advertising information, and the output is the push notification sent via the LINE API. For example, a message like "Hello! You look tired. Here's a coupon for a recommended restaurant near the food court!" is generated.

[0385] Step 7:

[0386] The user receives a push notification through the LINE app on their smartphone and checks the displayed message. The input is the push notification sent from the LINE API, and the output is the advertising information displayed to the user. The user decides what to do based on the information provided.

[0387] 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.

[0388] 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.

[0389] 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.

[0390] [Second embodiment]

[0391] FIG. 3 shows an example of the configuration of a data processing system 210 according to the second embodiment.

[0392] 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.

[0393] 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).

[0394] 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.

[0395] 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.

[0396] 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).

[0397] 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. 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.

[0398] 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.

[0399] 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.

[0400] 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.

[0401] 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.

[0402] 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."

[0403] This invention is a system that acquires the user's location information when the user connects to a wireless internet spot in a large facility or store, and provides related information based on that location as a LINE notification. This system consists of a program that runs on the server side and operations on the terminal and user side.

[0404] Server Processing

[0405] The server detects when a user connects to a Wi-Fi spot within the facility. The server obtains the user's location information based on the Wi-Fi spot's identification information. This location information is used to identify the user's current location by matching it with specific areas within the facility stored in a database. The server then selects relevant information based on the obtained location information. This relevant information may include restaurant information, directions, discount coupons, etc.

[0406] The selected information is sent to the user's LINE account as a notification using the LINE API. By using the LINE API, the server can create the message content and send it to the user in the appropriate format, allowing the user to easily receive notification messages.

[0407] Terminal Processing

[0408] When a user connects to a Wi-Fi spot within a facility, the device sends connection information to the server. This procedure provides the server with information to obtain the user's location. The LINE app on the device also receives the notification from the server and displays it to the user. The LINE app displays the notification in the default notification format, and the user can tap to view more information.

[0409] User Actions

[0410] As a specific example, consider the case where a user visits a large shopping mall. First, the user connects to the mall's Wi-Fi with their smartphone. At this time, the device sends connection information to the server. The server identifies the user's location from the Wi-Fi connection information and confirms that the user is near the food court, for example. Next, the server selects restaurant information and coupons near the food court from a database and creates a LINE recommendation notification with the message "Hello! We have coupons for recommended restaurants near the food court!" This message is sent to the user via the LINE API. The user receives the notification in the LINE app, taps to check the details, and decides what to do based on the information provided.

[0411] This system allows users to receive the information they need in real time, enabling them to use the facility comfortably, while also enabling the facility or store to carry out efficient and effective marketing activities.

[0412] The processing flow will be explained below.

[0413] Step 1:

[0414] Subject: User

[0415] Users connect to Wi-Fi spots inside large facilities or stores.

[0416] Step 2:

[0417] Subject: Device

[0418] The device obtains Wi-Fi connection information and sends it to the server.

[0419] Step 3:

[0420] Subject: Server

[0421] The server receives the Wi-Fi connection information sent from the device.

[0422] Step 4:

[0423] Subject: Server

[0424] The server obtains the user's location information based on the Wi-Fi spot's identification information. Specifically, it accesses a location database and identifies the area corresponding to the Wi-Fi spot.

[0425] Step 5:

[0426] Subject: Server

[0427] Based on the location information acquired by the server, the server selects relevant information, such as gourmet information, directions, and discount coupons for the area, from a database.

[0428] Step 6:

[0429] Subject: Server

[0430] The server creates a message using the LINE API based on the information selected. An example of the message content might be, "Hello! Here's a coupon for a recommended restaurant near the food court!"

[0431] Step 7:

[0432] Subject: Server

[0433] The server creates a message and sends it to the user's LINE account via the LINE API.

[0434] Step 8:

[0435] Subject: Device

[0436] The LINE app on the device receives the promotion notification message sent from the server.

[0437] Step 9:

[0438] Subject: User

[0439] The user checks the notification in the LINE app and taps the notification content to view more information.

[0440] Step 10:

[0441] Subject: User

[0442] Based on the information provided, the user decides to take action, such as using a coupon to enjoy a meal at a restaurant.

[0443] The above is a series of processing steps in the system of the present invention. This system allows users to receive necessary information in real time, and facilities and stores can also carry out efficient marketing activities.

[0444] Example 1

[0445] 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."

[0446] Currently, many large facilities and stores offer wireless internet spots for their users, but they only provide the wireless internet connection itself and do not provide appropriate information based on the user's current location. This means that users cannot receive the information they need in real time within the facility, making it difficult to shop and use the facility efficiently.

[0447] 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.

[0448] In this invention, the server includes: means for transmitting connection information when a terminal connects to a wireless Internet spot; means for the server to acquire the user's location information using the wireless Internet spot's identification information; means for the server to select relevant information from a database based on the acquired location information; means for the server to notify the selected information to the user using a messaging application's API; and means for the terminal to receive and display the notification. This allows users to receive appropriate information based on their location in real time within the facility, realizing efficient and convenient facility use. It also enables the facility to provide effective information and marketing based on the user's location.

[0449] "Terminal" means a user's mobile device that can connect to a wireless Internet spot.

[0450] A "wireless internet spot" is an access point located in a specific area that provides Wi-Fi.

[0451] "Connection information" refers to data such as the SSID and MAC address that is sent when a device connects to a wireless Internet spot.

[0452] A "server" is a computer system that receives user connection information, acquires location information, and selects related information.

[0453] "Location information" refers to information about the user's current location, which is identified based on the identification information of the wireless Internet spot.

[0454] "Wireless Internet spot identification information" refers to an identification number or name unique to each access point.

[0455] "Related information" refers to content such as store information, route information, or preferential treatment information selected based on the user's location information.

[0456] A "database" is a data management system that stores related information, location information, etc., and allows for searching and retrieval as needed.

[0457] A "messaging application API" is an interface for sending data from an external server or system to a messaging application.

[0458] "Promotion notifications" are reminder messages or notifications sent from the server to the user via a messaging application.

[0459] The "means for displaying a notification" refers to a function in which a messaging application installed on a user's device receives a notification and visually notifies the user.

[0460] This system acquires location information when a user connects to a wireless internet spot in a large facility or store, and provides relevant information based on the acquired location information as a push notification via a messaging application. This system consists of a program executed on the server side and operations on the terminal and user side.

[0461] Server-side processing

[0462] The server runs the system through the following steps:

[0463] 1. Wi-Fi connection detection

[0464] The server receives connection information sent from the user's device connecting to the wireless Internet spot. This connection information includes the SSID, MAC address, etc. Based on this information, the server recognizes which wireless Internet spot the user's device is connected to.

[0465] 2. Obtaining location information

[0466] The server uses the received wireless Internet spot identification information to obtain the user's location information from a database, which stores information about the area within the facility that corresponds to each spot. This information identifies the area within the facility where the user is located.

[0467] 3. Selection of relevant information

[0468] The server selects relevant information from its database based on the identified area, including store information, route information, special offers, etc. The selected information is most relevant to the user's current location.

[0469] 4. Sending push notifications

[0470] The server uses the API of the messaging application to send the selected information to the user as a push notification. To this end, the server organizes the selected information, converts it into an appropriate message format, and sends it.

[0471] Terminal side processing

[0472] The terminal executes the following process.

[0473] 1. Sending Wi-Fi connection information

[0474] When a user's device connects to a wireless Internet spot within the facility, the connection information is automatically sent to the server, which then uses this information to identify the user's location.

[0475] 2. Receiving and displaying push notifications

[0476] The push notification sent from the server is received by the messaging application installed on the user's device. The messaging application displays the push notification to the user using a standard notification format. When the user taps the notification, detailed information is displayed.

[0477] Specific examples of user actions

[0478] For example, when a user visits a large shopping mall, the system operates as follows.

[0479] 1. A user connects to the shopping mall's Wi-Fi using their smartphone.

[0480] 2. The device sends the connection information to the server. For example, the connection SSID is "Mall_Free_WiFi" and the MAC address is "00:0a:95:9d:68:16".

[0481] 3. The server receives the connection information and identifies the corresponding area. In this case, we assume the user is near the food court.

[0482] 4. The server selects coupons and recommended menu items for nearby restaurants based on the food court information, and sends a notification to the user using the messaging application's API. For example, the message content might be, "We have coupons for recommended restaurants near the food court!"

[0483] 5. The messaging application receives the notification on the user's smartphone and displays a push notification to the user, who taps on the notification to view more information and decides to act based on the information provided.

[0484] Examples of prompt statements

[0485] "I'm in the food court at the mall. Can you recommend a restaurant or give me some coupon information?"

[0486] This system allows users to receive appropriate information based on their location in real time within the facility, making facility use more efficient and convenient.It also enables facilities to provide more effective information and marketing based on users' locations.

[0487] The flow of the identification process in the first embodiment will be described with reference to FIG.

[0488] Step 1:

[0489] Detecting Wi-Fi connections and sending connection information (device)

[0490] When a device connects to a Wi-Fi hotspot within a facility, the connection information is automatically sent to the server, including the SSID (network name) and MAC address (physical address).

[0491] Input: Wi-Fi connection information of the device (SSID, MAC address)

[0492] Data processing: The device converts the connection information into packets to send to the server.

[0493] Output: Connection information in the form of packets sent to the server

[0494] Step 2:

[0495] Receiving connection information and obtaining location information (server)

[0496] The server receives the connection information sent from the terminal, and then retrieves the user's location information from the database using the wireless Internet spot's identification information.

[0497] Input: Connection information sent from the device (SSID, MAC address)

[0498] Data processing: The server analyzes the received connection information and extracts the SSID and MAC address.

[0499] Data calculation: Based on the extracted identification information, the database is queried to obtain the corresponding area information.

[0500] Output: User location information (e.g. food court, entrance, etc.)

[0501] Step 3:

[0502] Selection of relevant information based on location information (server)

[0503] The server selects relevant information from a database based on the acquired location information, including information on nearby stores, routes, and special offers.

[0504] Input: User's location

[0505] Data processing: Filter relevant information based on location information.

[0506] Data calculations: Selecting the most relevant information from the filtered information.

[0507] Output: Selected relevant information (e.g., restaurant coupons, sales information for specific stores)

[0508] Step 4:

[0509] Generate and send push notifications (server)

[0510] The server uses the messaging application's API to send the selected information to the user as a push notification, formatting the message content appropriately.

[0511] Input: Selected relevant information

[0512] Data processing: Converting relevant information into a messaging application API format.

[0513] Output: Push notification message sent to the user's device

[0514] Step 5:

[0515] Receiving and displaying push notifications (device)

[0516] The device receives a push notification from the server and displays it in the messaging application. The user can tap the notification to view more information.

[0517] Input: Push notification from the server

[0518] Data processing: Messages are formatted by messaging applications to display push notifications in a user-friendly format.

[0519] Output: A visual notification message displayed on the terminal.

[0520] Specific operation example

[0521] 1. The user enters the facility

[0522] A user visits a large shopping mall with their smartphone.

[0523] 2. Connect to Wi-Fi

[0524] When a user connects to the free Wi-Fi at a shopping mall, the device sends the SSID "Mall_Free_WiFi" and MAC address "00:0a:95:9d:68:16" to the server.

[0525] 3. Sending information to the server

[0526] The server receives these connection information and retrieves the location information from a database.

[0527] 4. Starting the server process

[0528] The server identifies the user's current location as "food court."

[0529] 5. Selection of relevant information

[0530] The server retrieves coupon information for restaurants near the food court from a database and formats it as a push notification message.

[0531] 6. Sending push notifications

[0532] The server formats the message and sends it to the device via the messaging application's API.

[0533] 7. Receiving and Displaying Notifications

[0534] The device receives the notification from the server and displays a push notification to the user saying, "We have a coupon for a recommended restaurant near the food court!"

[0535] Users can tap on this notification to view more information and decide what to do based on the information provided.

[0536] (Application example 1)

[0537] 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."

[0538] With conventional systems, it was difficult to provide users with the information they needed at the right time in large commercial facilities and stores, making it difficult to improve user convenience.In addition, there was a lack of means to improve the marketing effectiveness of stores by providing users with promotional information for each store in real time.

[0539] 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.

[0540] In this invention, the server includes: means for acquiring location information of a user when the user connects to a wireless Internet spot; means for selecting relevant information based on the acquired location information; means for notifying the selected information to the user's messaging application; means for providing an application program for sending the selected information to the user's messaging application as a notification; means for using a generative AI model to generate content of the information to be sent to the messaging application; means for inputting a prompt to the generative AI model to generate content of the information; and means for creating a notification message based on the generated information. This allows users to receive necessary information in real time, enabling facilities and stores to carry out effective marketing activities.

[0541] A "wireless internet spot" is an access point that provides wireless internet connectivity at a specific location.

[0542] "Location information" is digital data that indicates the location where a user is physically located.

[0543] "Related information" is useful data such as gourmet information, directions, discount coupons, or promotional information selected based on the user's location information.

[0544] A "messaging application" is a software application that allows users to send and receive messages, such as LINE.

[0545] "Notification" means a notification message that the system automatically sends to the user.

[0546] An "application program" is software designed to perform a specific task.

[0547] A "generative AI model" is an artificial intelligence model that generates specific output data based on input data (prompt sentences).

[0548] A "prompt sentence" is an instruction sentence input to a generative AI model.

[0549] A "notification message" is a message containing information that is sent to a user.

[0550] A "server" is a computer system that provides services to clients over a network.

[0551] This invention is a system that acquires the user's location information when the user connects to a wireless internet spot in a large facility or store, and provides related information based on that location as a LINE notification. This system consists of a program that runs on the server side and operations on the terminal and user side.

[0552] Server Processing

[0553] The server detects when a user connects to a Wi-Fi spot within the facility. The server obtains the user's location information based on the Wi-Fi spot's identification information. This location information is used to identify the user's current location by matching it with specific areas within the facility stored in a database. The server then selects relevant information based on the obtained location information. This relevant information includes restaurant information, directions, discount coupons, and promotional information for each store. To generate this relevant information, a generative AI model is used, and a prompt sentence is input to generate information with appropriate content.

[0554] An example of a prompt to be input into the generative AI model is, "Please create a message to send recommended restaurant coupons to users near the food court of a shopping mall. Please include the details of the coupon and an effective catchphrase to attract the user's interest." Based on this prompt, the generative AI model generates relevant information, and then uses the LINE API to send a notification message to the user's LINE account.

[0555] Terminal Processing

[0556] When a user connects to a Wi-Fi spot in a facility, the user's device sends the connection information to the server. This procedure provides the server with information to obtain the user's location. The device also receives a notification from the server and displays it to the user.

[0557] User Actions

[0558] As a specific example, consider the case where a user visits a large shopping mall. First, the user connects to the mall's Wi-Fi with their smartphone. At this time, the device sends connection information to the server. The server identifies the user's location from the Wi-Fi connection information and confirms that the user is near the food court, for example. Next, the server uses a generative AI model to generate restaurant information and coupons near the food court, and enters a prompt text to create a message such as "Hello! We have coupons for recommended restaurants near the food court!" This message is sent to the user via the LINE API. The user receives a notification in the LINE app, taps to check the details, and decides what to do based on the information provided.

[0559] Hardware and software used

[0560] Smartphone: Device carried by the user (iOS, Android)

[0561] Wi-Fi Spot: Wireless network in shopping malls

[0562] Server: Remote server (AWS, Google Cloud) that processes location information and notification messages

[0563] LINE API: API for sending push notifications to users

[0564] Generative AI models: AI systems that generate information content (e.g., OpenAI GPT-3)

[0565] This allows users to receive the information they need in real time and use the facility comfortably, while also enabling the facility or store to carry out efficient and effective marketing activities.

[0566] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[0567] Step 1:

[0568] The server detects when a user connects to a wireless Internet spot (Wi-Fi spot), receives connection data as input to acquire the user's location information, and recognizes that the user is in a specific area.

[0569] Step 2:

[0570] When a user connects to a Wi-Fi spot, the device sends the connection information to the server. The input is the Wi-Fi connection information, and the output is the user's current location (e.g., near the food court).

[0571] Step 3:

[0572] The server uses the acquired connection information to identify the user's location from the wireless Internet spot's identification information and compares that location information with a database. This location information corresponds to a specific area within the facility. The input is the Wi-Fi spot's identification information and connection data, and the output is the identified area information.

[0573] Step 4:

[0574] The server selects relevant information (e.g., restaurant information, directions, discount coupons) based on the acquired location information. For this selection, a generative AI model is used to generate the content of the information by inputting a prompt. The input is the location information and the prompt, and the output is the generated relevant information.

[0575] Step 5:

[0576] The server inputs a prompt to the generative AI model: "Please create a message to send recommended restaurant coupons to users near the food court in the shopping mall. Please include the details of the coupon and an effective catchphrase to attract the user's interest." The server then generates an appropriate message using the relevant information. The input is the prompt, and the output is the generated message.

[0577] Step 6:

[0578] The server creates a notification message based on the generated message and sends it to the user's LINE account using the LINE API. The input is the generated message, and the output is the notification message sent via the LINE API. Specifically, the server uses the LINE API to send the notification message to the user.

[0579] Step 7:

[0580] The user's device receives the notification sent from the server and displays it in the LINE app. The user can tap it to view more information. The input is the notification message, and the output is the notification displayed in the LINE app.

[0581] Through the above processing steps, users can receive information about the facility in real time, allowing them to enjoy a convenient and comfortable shopping experience, while also enabling the facility or store to carry out efficient and effective marketing activities.

[0582] 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.

[0583] This invention is a system that acquires location and emotional information of users when they connect to a wireless internet spot in a large facility or store, and provides related information based on this information as LINE notifications. This system consists of a program that runs on the server side and operations on the terminal and user side.

[0584] Server Processing

[0585] The server detects that a user has connected to a Wi-Fi spot within the facility. The server obtains the user's location information based on the Wi-Fi spot's identification information. This location information is used to identify the user's current location by matching it with specific areas within the facility stored in a database. The server then uses an emotion engine to recognize the user's emotion based on the data obtained from the device. Based on this emotion information, the server selects related information in combination with the obtained location information. This related information may include restaurant information, directions, discount coupons, etc.

[0586] The selected information is sent to the user's LINE account as a notification using the LINE API. By using the LINE API, the server can create message content and send it to the user with an appropriate tone and content based on the emotional information.

[0587] Terminal Processing

[0588] When a user connects to a Wi-Fi spot within a facility, the device sends Wi-Fi connection information and the user's emotional data (e.g., facial recognition and voice analysis using the camera and microphone) to the server. This procedure provides the server with information to obtain the user's location and emotional information. The LINE app on the device also receives the notification sent from the server and displays it to the user. The LINE app displays the notification in the default notification format, and the user can tap it to view more information.

[0589] User Actions

[0590] As a specific example, consider the case where a user visits a large shopping mall. First, the user connects to the mall's Wi-Fi with their smartphone and acquires emotional data through the device's camera and microphone. At this time, the device sends the connection information and emotional data to the server. The server identifies the user's location from the Wi-Fi connection information and confirms, for example, that the user is near the food court. Next, it uses an emotion engine to recognize the user's emotional state, such as "hunger" or "tired." Based on this emotional information, the server selects restaurant information and coupons near the food court from a database and creates a LINE recommendation message saying, "Hello! You look tired. We have coupons for recommended restaurants near the food court!" This message is sent to the user via the LINE API. The user receives the notification in the LINE app, taps it to check the details, and decides what to do based on the information provided.

[0591] This system allows users to receive the information they need in real time and enjoy services that suit their emotional state, while also enabling facilities and stores to carry out efficient and effective marketing activities.

[0592] The processing flow will be explained below.

[0593] Step 1:

[0594] Subject: User

[0595] Users connect to Wi-Fi spots inside large facilities or stores.

[0596] Step 2:

[0597] Subject: Device

[0598] The device obtains Wi-Fi connection information and sends it to the server.

[0599] Step 3:

[0600] Subject: Device

[0601] The device uses a camera and microphone to acquire emotional data about the user, including facial recognition information and voice analysis data.

[0602] Step 4:

[0603] Subject: Device

[0604] The acquired emotion data is sent to the server.

[0605] Step 5:

[0606] Subject: Server

[0607] The server receives the Wi-Fi connection information sent from the device.

[0608] Step 6:

[0609] Subject: Server

[0610] The server obtains the user's location information based on the Wi-Fi spot's identification information. Specifically, it accesses a location database and identifies the area corresponding to the Wi-Fi spot.

[0611] Step 7:

[0612] Subject: Server

[0613] The server receives the emotion data transmitted from the terminal.

[0614] Step 8:

[0615] Subject: Server

[0616] The server uses an emotion engine to recognize the user's emotions from the acquired emotion data, which may include, for example, "hunger," "tiredness," or "joy."

[0617] Step 9:

[0618] Subject: Server

[0619] The server selects relevant information based on the recognized emotion and location information, specifically searching the database for information on restaurants, directions, discount coupons, and other information in the area.

[0620] Step 10:

[0621] Subject: Server

[0622] A message is created using the LINE API based on the information selected by the server. The message content is dynamically changed based on the emotional information.

[0623] Step 11:

[0624] Subject: Server

[0625] The server sends the created message to the user's LINE account via the LINE API.

[0626] Step 12:

[0627] Subject: Device

[0628] The LINE app on the device receives the promotion notification message sent from the server.

[0629] Step 13:

[0630] Subject: User

[0631] The user checks the notification in the LINE app and taps the notification content to view more information.

[0632] Step 14:

[0633] Subject: User

[0634] Based on the information provided, the user decides to take action, such as using a coupon to enjoy a meal at a restaurant.

[0635] The above is a series of processing steps for the system that combines the emotion engine of this invention. This system enables users to receive services based on location information and emotion information in real time, and also enables facilities and stores to carry out efficient and effective marketing activities.

[0636] Example 2

[0637] 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."

[0638] Although conventional systems can obtain location information when users connect to a wireless internet hotspot, they are unable to provide appropriate information based on the user's emotional state. This makes it difficult to provide real-time information tailored to the user's specific needs. Furthermore, the effectiveness of marketing activities at locations where wireless internet hotspots are used is limited.

[0639] 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.

[0640] In this invention, the server includes means for acquiring location information of a user when the user connects to a wireless Internet hotspot, means for selecting relevant information based on the acquired location information and the user's emotion data, and means for notifying the selected information to the user's messaging application, thereby enabling provision of appropriate information according to the user's current location and emotion.

[0641] A "wireless Internet spot" is a wireless access point that users use to connect to the Internet.

[0642] "Location information" refers to information about the user's current location, which is determined based on the identification information of the wireless Internet spot.

[0643] "Emotion data" is information that indicates the emotional state of a user, obtained from the user's facial expressions, voice, etc.

[0644] "Relevant information" refers to gourmet information, directions, discount coupons and other useful information that is tailored to the user and selected based on the user's location and emotional data.

[0645] "Messaging application" means an application that sends and receives text messages and multimedia messages over the Internet, including, for example, LINE and other similar applications.

[0646] "Prompt Notification" means an automated notification message sent from a server to a user's messaging application containing relevant information.

[0647] A "server" is an information processing device that processes data acquired from wireless Internet spots and terminals, and selects and notifies related information.

[0648] A "terminal" is a user's mobile device or computer that connects to a wireless internet spot, acquires emotion data, and transmits it to the server.

[0649] This system acquires location and emotional information from users when they connect to a wireless internet spot in a large facility or store, and provides relevant information based on this information as notifications in a messaging application. This system consists of a program running on the server and operations on the terminal and user side.

[0650] Server Processing

[0651] The server detects when a user connects to a wireless Internet spot within the facility. The server obtains the user's location information based on the identification information of the wireless Internet spot. This location information is used to identify the user's current location by matching it with specific areas within the facility stored in a database.

[0652] Next, the server uses an emotion engine to recognize the user's emotions based on the data acquired from the device. This emotion engine uses a general emotion analysis API (e.g., emotion analysis API). Based on this emotion information, the server combines it with the acquired location information to select related information. This related information includes restaurant information, directions, discount coupons, etc.

[0653] The selected information is sent to the user's messaging application as a notification using a messaging API (e.g., messaging API). The server can create message content and send it to the user with an appropriate tone and content based on the emotional information.

[0654] Terminal Processing

[0655] When a user connects to a wireless Internet spot within the facility, the device sends wireless Internet connection information and the user's emotional data to the server. The emotional data is acquired using the device's camera and microphone. For example, a general vision API (e.g., Vision API) or voice analysis API (e.g., Voice Analysis API) is used. This procedure provides the server with data to acquire the user's location information and emotional information.

[0656] The messaging application on the device also receives the notification sent from the server and displays it to the user. The messaging application displays the notification in the default notification format, and the user can tap it to view more information.

[0657] User Actions

[0658] As a specific example, consider the case where a user visits a large shopping mall. First, the user connects to the shopping mall's wireless internet using a mobile device and acquires emotion data through the device's camera and microphone. At this time, the device transmits the connection information and emotion data to a server.

[0659] The server identifies the user's location from wireless internet connection information and determines, for example, that the user is near a food court. Next, it uses an emotion engine to recognize the user's emotional state, such as "hunger" or "tired." Based on this emotional information, the server selects restaurant information and coupons near the food court from a database and creates a notification message saying, "Hello! You look tired. We have coupons for recommended restaurants near the food court!" This message is sent to the user via a messaging API. The user receives the notification in their messaging application, taps to check the details, and decides what to do based on the information provided.

[0660] This system allows users to receive the information they need in real time and enjoy services that suit their emotional state, while also enabling facilities and stores to carry out efficient and effective marketing activities.

[0661] Example prompt sentence:

[0662] "Describe a system that provides real-time, relevant information based on a user's location and emotional state within a commercial facility. The system operates when the user has wireless internet access and has the ability to send push notifications using a messaging API."

[0663] The flow of the identification process in the second embodiment will be described with reference to FIG.

[0664] Step 1:

[0665] The device connects to a wireless internet spot.

[0666] Input: Wi-Fi connection request from the user's device

[0667] Output: Wi-Fi connection established and access point identification information

[0668] Specific operation: The device selects the SSID of the facility's wireless Internet spot and presses the connect button. The device obtains the access point's identification information (SSID and BSSID) and completes the connection.

[0669] Step 2:

[0670] The device acquires emotion data.

[0671] Input: User's facial and voice data

[0672] Output: Obtained emotion data

[0673] How it works: The device camera takes a picture of the user's face and the microphone records their voice. This data is then sent to an emotion analysis API to analyze their emotional state.

[0674] Step 3:

[0675] The device sends Wi-Fi connection information and emotion data to the server.

[0676] Input: Wi-Fi connection information, emotional data

[0677] Output: Data sent to the server

[0678] Specific operation: The device sends wireless Internet connection information (SSID, BSSID) and emotion data to the server using HTTPS.

[0679] Step 4:

[0680] The server obtains location information from Wi-Fi connection information.

[0681] Input: Wi-Fi connection information (SSID, BSSID)

[0682] Output: Obtained location information

[0683] Specific operation: The server compares the access point identification information with the facility map data stored in the database and determines the user's current location.

[0684] Step 5:

[0685] The server analyzes the emotional information using an emotion analysis API.

[0686] Input: Emotion data sent from the device

[0687] Output: Parsed emotion information

[0688] Specific operation: The server sends emotional data to the emotion analysis API and obtains the analysis results. For example, the server identifies the user's emotional state, such as "hunger" or "tired," based on the user's tone of voice and facial expression analysis results.

[0689] Step 6:

[0690] The server selects relevant information based on location and emotion information.

[0691] Input: location information, emotion information

[0692] Output: Selected relevant information (e.g., restaurant information, discount coupons)

[0693] Specific operation: The server searches the database for relevant information that matches the location information and emotion information and selects it. For example, if the user is in a "food court" and is determined to be "hungry," it selects coupon information for a nearby restaurant.

[0694] Step 7:

[0695] The server sends the selected information as a notification using a messaging API.

[0696] Input: Selected relevant information, user's messaging application ID

[0697] Output: The push notification message sent.

[0698] Specific operation: The server creates a message based on the selected information and sends it to the user's messaging application via the messaging API. The message content might be something like, "Hello! I see you're tired. Here's a coupon for a recommended restaurant near the food court!"

[0699] Step 8:

[0700] The device receives the notification and displays it to the user.

[0701] Input: The push notification message sent by the server

[0702] Output: The displayed notification message

[0703] What happens: The device's messaging application receives the notification and displays it on the screen. The user can tap the notification to view more information.

[0704] Step 9:

[0705] The user reviews the notification and decides to act based on the details.

[0706] Input: Content of the received notification message

[0707] Output: User behavior (e.g., going to a restaurant, using a coupon)

[0708] Specific behavior: The user checks the notification they received and decides what to do next based on the information provided (e.g., coupon details).

[0709] (Application example 2)

[0710] 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."

[0711] Conventional advertising delivery systems deliver ads based on the user's location information, but do not take into account the user's emotions. As a result, the information provided may be inappropriate or may not meet the user's needs, making it difficult to deliver effective targeted advertising.

[0712] 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 means for acquiring location information of a user when the user connects to a wireless communication spot, means for selecting relevant advertising information based on the acquired location information and emotional information, and means for notifying the selected advertising information to the messaging application of the user. This makes it possible to provide optimal advertising information based on not only the user's location information but also their emotional information, thereby achieving more effective targeted advertising.

[0713] A "wireless communication spot" is a wireless access point that allows users to connect to the Internet.

[0714] "Location information" is data on the physical location of the user, estimated based on the identification information of the wireless communication spot.

[0715] "Emotional information" is data about a user's emotional state obtained through facial recognition and voice analysis.

[0716] "Advertising information" is information about specific products or services selected based on the user's location information and emotional information.

[0717] A "messaging application" is application software that enables users to send and receive text messages and notifications over the Internet.

[0718] "Server" refers to a computer system that manages wireless communication spots and selects and transmits advertising information based on the user's location and emotional information.

[0719] "Sending a notification" means sending a notification to the user's messaging application and displaying the content to the user.

[0720] This invention is a system that acquires location and emotional information from users by connecting to wireless communication spots within commercial facilities or large-scale facilities, and provides appropriate advertising information as LINE push notifications based on this information. This system is mainly composed of server-side processing and device-side processing.

[0721] Server-side processing

[0722] The server detects that a user has connected to a wireless communication spot. At this time, the server obtains the user's location information based on the identification information of the wireless communication spot. Specifically, the server uses the Wi-Fi spot's SSID (Service Set Identifier) ​​and BSSID (Basic Service Set Identifier) ​​to identify the specific area where the user is located.

[0723] The server then receives the emotion data sent from the device and uses an emotion recognition engine to analyze the user's emotional state. For example, it can use facial recognition and voice analysis technology using the smartphone's camera and microphone to identify emotions such as "tired" or "hunger."

[0724] Based on this location information and emotion information, the server selects relevant advertising information. For example, if a user is near a food court and their emotion state is "tired," the server selects discount coupon information for nearby cafes and restaurants.

[0725] The selected advertising information is sent as a push notification to the user's LINE account using the LINE API, which allows the advertising message to be generated with the appropriate tone and content and provided to the user.

[0726] Terminal side processing

[0727] When a user connects to a wireless communication spot, the device (smartphone) sends connection information (SSID and BSSID) to the server. At the same time, emotion data acquired through the device's camera and microphone is also sent to the server.

[0728] This helps the server obtain the user's location and emotional information. The LINE app is also installed on the device, and has the function of receiving push notifications sent from the server. The user checks the notifications received through the LINE app and decides what to do based on the information obtained from them.

[0729] User Actions

[0730] As a specific example, consider the case where a user visits a large shopping mall. First, the user connects to the mall's Wi-Fi using their smartphone and sends the connection information to a server. Next, the smartphone's camera and microphone are used to capture the user's emotional data, which is also sent to the server.

[0731] The server identifies the user's location from Wi-Fi connection information and then analyzes the user's emotional state using an emotion engine. For example, if the user is "hungry" and "near the food court," the server selects nearby restaurant information and discount coupons from a database. This information is sent to the user via the LINE API as a message saying, "Hello! You look tired. Here are some coupons for recommended restaurants near the food court!"

[0732] Prompt Sentence Examples

[0733] "If the user is feeling tired, generate a message about a discount coupon for a nearby cafe."

[0734] As a result, users can receive advertising information that matches their emotional state in real time, making facility use more comfortable. Advertisers can also improve their targeting accuracy, enabling more effective advertising.

[0735] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[0736] Step 1:

[0737] A user connects to the Wi-Fi in a facility. The smartphone acquires the Wi-Fi connection information (SSID and BSSID). This information is sent to the server as identification information for the wireless communication spot. The input is the SSID and BSSID connection information, and the output is the data to be sent to the server.

[0738] Step 2:

[0739] The device (smartphone) uses a camera and microphone to acquire the user's emotional data. For example, facial recognition and voice analysis technology can be used to identify emotions such as "tired" or "hunger." The emotional data is sent to a server. The input is data from the device's camera and microphone, and the output is data containing emotional information.

[0740] Step 3:

[0741] The server receives the Wi-Fi connection information and emotion data sent from the device. The input is SSID and BSSID information and emotion data, and the output is the user's location information and emotion information. The server identifies a specific area within the facility from a database based on the Wi-Fi spot's identification information and obtains the location information.

[0742] Step 4:

[0743] The server uses an emotion recognition engine to analyze the received emotion data and identify the user's emotional state. The input is emotion data, and the output is analyzed emotion information. This identifies the user's current emotional state (e.g., "tired" or "hungry").

[0744] Step 5:

[0745] The server selects relevant advertising information based on the acquired location information and emotion information. For example, if a user is "near a food court" and feels "tired," it selects discount coupons for nearby cafes and restaurants from a database. The input is location information and emotion information, and the output is the selected advertising information.

[0746] Step 6:

[0747] The server uses the LINE API to create the selected advertising information and sends it as a push notification message to the user's LINE account. The input is the selected advertising information, and the output is the push notification sent via the LINE API. For example, a message like "Hello! You look tired. Here's a coupon for a recommended restaurant near the food court!" is generated.

[0748] Step 7:

[0749] The user receives a push notification through the LINE app on their smartphone and checks the displayed message. The input is the push notification sent from the LINE API, and the output is the advertising information displayed to the user. The user decides what to do based on the information provided.

[0750] 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.

[0751] 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.

[0752] 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.

[0753] [Third embodiment]

[0754] FIG. 5 shows an example of the configuration of a data processing system 310 according to the third embodiment.

[0755] 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.

[0756] 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).

[0757] 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.

[0758] 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.

[0759] 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).

[0760] 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. 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.

[0761] 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.

[0762] 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.

[0763] 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.

[0764] 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.

[0765] 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."

[0766] This invention is a system that acquires the user's location information when the user connects to a wireless internet spot in a large facility or store, and provides related information based on that location as a LINE notification. This system consists of a program that runs on the server side and operations on the terminal and user side.

[0767] Server Processing

[0768] The server detects when a user connects to a Wi-Fi spot within the facility. The server obtains the user's location information based on the Wi-Fi spot's identification information. This location information is used to identify the user's current location by matching it with specific areas within the facility stored in a database. The server then selects relevant information based on the obtained location information. This relevant information may include restaurant information, directions, discount coupons, etc.

[0769] The selected information is sent to the user's LINE account as a notification using the LINE API. By using the LINE API, the server can create the message content and send it to the user in the appropriate format, allowing the user to easily receive notification messages.

[0770] Terminal Processing

[0771] When a user connects to a Wi-Fi spot within a facility, the device sends connection information to the server. This procedure provides the server with information to obtain the user's location. The LINE app on the device also receives the notification from the server and displays it to the user. The LINE app displays the notification in the default notification format, and the user can tap to view more information.

[0772] User Actions

[0773] As a specific example, consider the case where a user visits a large shopping mall. First, the user connects to the mall's Wi-Fi with their smartphone. At this time, the device sends connection information to the server. The server identifies the user's location from the Wi-Fi connection information and confirms that the user is near the food court, for example. Next, the server selects restaurant information and coupons near the food court from a database and creates a LINE recommendation notification with the message "Hello! We have coupons for recommended restaurants near the food court!" This message is sent to the user via the LINE API. The user receives the notification in the LINE app, taps to check the details, and decides what to do based on the information provided.

[0774] This system allows users to receive the information they need in real time, enabling them to use the facility comfortably, while also enabling the facility or store to carry out efficient and effective marketing activities.

[0775] The processing flow will be explained below.

[0776] Step 1:

[0777] Subject: User

[0778] Users connect to Wi-Fi spots inside large facilities or stores.

[0779] Step 2:

[0780] Subject: Device

[0781] The device obtains Wi-Fi connection information and sends it to the server.

[0782] Step 3:

[0783] Subject: Server

[0784] The server receives the Wi-Fi connection information sent from the device.

[0785] Step 4:

[0786] Subject: Server

[0787] The server obtains the user's location information based on the Wi-Fi spot's identification information. Specifically, it accesses a location database and identifies the area corresponding to the Wi-Fi spot.

[0788] Step 5:

[0789] Subject: Server

[0790] Based on the location information acquired by the server, the server selects relevant information, such as gourmet information, directions, and discount coupons for the area, from a database.

[0791] Step 6:

[0792] Subject: Server

[0793] The server creates a message using the LINE API based on the information selected. An example of the message content might be, "Hello! Here's a coupon for a recommended restaurant near the food court!"

[0794] Step 7:

[0795] Subject: Server

[0796] The server creates a message and sends it to the user's LINE account via the LINE API.

[0797] Step 8:

[0798] Subject: Device

[0799] The LINE app on the device receives the promotion notification message sent from the server.

[0800] Step 9:

[0801] Subject: User

[0802] The user checks the notification in the LINE app and taps the notification content to view more information.

[0803] Step 10:

[0804] Subject: User

[0805] Based on the information provided, the user decides to take action, such as using a coupon to enjoy a meal at a restaurant.

[0806] The above is a series of processing steps in the system of the present invention. This system allows users to receive necessary information in real time, and facilities and stores can also carry out efficient marketing activities.

[0807] Example 1

[0808] 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."

[0809] Currently, many large facilities and stores offer wireless internet spots for their users, but they only provide the wireless internet connection itself and do not provide appropriate information based on the user's current location. This means that users cannot receive the information they need in real time within the facility, making it difficult to shop and use the facility efficiently.

[0810] 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.

[0811] In this invention, the server includes: means for transmitting connection information when a terminal connects to a wireless Internet spot; means for the server to acquire the user's location information using the wireless Internet spot's identification information; means for the server to select relevant information from a database based on the acquired location information; means for the server to notify the selected information to the user using a messaging application's API; and means for the terminal to receive and display the notification. This allows users to receive appropriate information based on their location in real time within the facility, realizing efficient and convenient facility use. It also enables the facility to provide effective information and marketing based on the user's location.

[0812] "Terminal" means a user's mobile device that can connect to a wireless Internet spot.

[0813] A "wireless internet spot" is an access point located in a specific area that provides Wi-Fi.

[0814] "Connection information" refers to data such as the SSID and MAC address that is sent when a device connects to a wireless Internet spot.

[0815] A "server" is a computer system that receives user connection information, acquires location information, and selects related information.

[0816] "Location information" refers to information about the user's current location, which is identified based on the identification information of the wireless Internet spot.

[0817] "Wireless Internet spot identification information" refers to an identification number or name unique to each access point.

[0818] "Related information" refers to content such as store information, route information, or preferential treatment information selected based on the user's location information.

[0819] A "database" is a data management system that stores related information, location information, etc., and allows for searching and retrieval as needed.

[0820] A "messaging application API" is an interface for sending data from an external server or system to a messaging application.

[0821] "Promotion notifications" are reminder messages or notifications sent from the server to the user via a messaging application.

[0822] The "means for displaying a notification" refers to a function in which a messaging application installed on a user's device receives a notification and visually notifies the user.

[0823] This system acquires location information when a user connects to a wireless internet spot in a large facility or store, and provides relevant information based on the acquired location information as a push notification via a messaging application. This system consists of a program executed on the server side and operations on the terminal and user side.

[0824] Server-side processing

[0825] The server runs the system through the following steps:

[0826] 1. Wi-Fi connection detection

[0827] The server receives connection information sent from the user's device connecting to the wireless Internet spot. This connection information includes the SSID, MAC address, etc. Based on this information, the server recognizes which wireless Internet spot the user's device is connected to.

[0828] 2. Obtaining location information

[0829] The server uses the received wireless Internet spot identification information to obtain the user's location information from a database, which stores information about the area within the facility that corresponds to each spot. This information identifies the area within the facility where the user is located.

[0830] 3. Selection of relevant information

[0831] The server selects relevant information from its database based on the identified area, including store information, route information, special offers, etc. The selected information is most relevant to the user's current location.

[0832] 4. Sending push notifications

[0833] The server uses the API of the messaging application to send the selected information to the user as a push notification. To this end, the server organizes the selected information, converts it into an appropriate message format, and sends it.

[0834] Terminal side processing

[0835] The terminal executes the following process.

[0836] 1. Sending Wi-Fi connection information

[0837] When a user's device connects to a wireless Internet spot within the facility, the connection information is automatically sent to the server, which then uses this information to identify the user's location.

[0838] 2. Receiving and displaying push notifications

[0839] The push notification sent from the server is received by the messaging application installed on the user's device. The messaging application displays the push notification to the user using a standard notification format. When the user taps the notification, detailed information is displayed.

[0840] Specific examples of user actions

[0841] For example, when a user visits a large shopping mall, the system operates as follows.

[0842] 1. A user connects to the shopping mall's Wi-Fi using their smartphone.

[0843] 2. The device sends the connection information to the server. For example, the connection SSID is "Mall_Free_WiFi" and the MAC address is "00:0a:95:9d:68:16".

[0844] 3. The server receives the connection information and identifies the corresponding area. In this case, we assume the user is near the food court.

[0845] 4. The server selects coupons and recommended menu items for nearby restaurants based on the food court information, and sends a notification to the user using the messaging application's API. For example, the message content might be, "We have coupons for recommended restaurants near the food court!"

[0846] 5. The messaging application receives the notification on the user's smartphone and displays a push notification to the user, who taps on the notification to view more information and decides to act based on the information provided.

[0847] Examples of prompt statements

[0848] "I'm in the food court at the mall. Can you recommend a restaurant or give me some coupon information?"

[0849] This system allows users to receive appropriate information based on their location in real time within the facility, making facility use more efficient and convenient.It also enables facilities to provide more effective information and marketing based on users' locations.

[0850] The flow of the identification process in the first embodiment will be described with reference to FIG.

[0851] Step 1:

[0852] Detecting Wi-Fi connections and sending connection information (device)

[0853] When a device connects to a Wi-Fi hotspot within a facility, the connection information is automatically sent to the server, including the SSID (network name) and MAC address (physical address).

[0854] Input: Wi-Fi connection information of the device (SSID, MAC address)

[0855] Data processing: The device converts the connection information into packets to send to the server.

[0856] Output: Connection information in the form of packets sent to the server

[0857] Step 2:

[0858] Receiving connection information and obtaining location information (server)

[0859] The server receives the connection information sent from the terminal, and then retrieves the user's location information from the database using the wireless Internet spot's identification information.

[0860] Input: Connection information sent from the device (SSID, MAC address)

[0861] Data processing: The server analyzes the received connection information and extracts the SSID and MAC address.

[0862] Data calculation: Based on the extracted identification information, the database is queried to obtain the corresponding area information.

[0863] Output: User location information (e.g. food court, entrance, etc.)

[0864] Step 3:

[0865] Selection of relevant information based on location information (server)

[0866] The server selects relevant information from a database based on the acquired location information, including information on nearby stores, routes, and special offers.

[0867] Input: User's location

[0868] Data processing: Filter relevant information based on location information.

[0869] Data calculations: Selecting the most relevant information from the filtered information.

[0870] Output: Selected relevant information (e.g., restaurant coupons, sales information for specific stores)

[0871] Step 4:

[0872] Generate and send push notifications (server)

[0873] The server uses the messaging application's API to send the selected information to the user as a push notification, formatting the message content appropriately.

[0874] Input: Selected relevant information

[0875] Data processing: Converting relevant information into a messaging application API format.

[0876] Output: Push notification message sent to the user's device

[0877] Step 5:

[0878] Receiving and displaying push notifications (device)

[0879] The device receives a push notification from the server and displays it in the messaging application. The user can tap the notification to view more information.

[0880] Input: Push notification from the server

[0881] Data processing: Messages are formatted by messaging applications to display push notifications in a user-friendly format.

[0882] Output: A visual notification message displayed on the terminal.

[0883] Specific operation example

[0884] 1. The user enters the facility

[0885] A user visits a large shopping mall with their smartphone.

[0886] 2. Connect to Wi-Fi

[0887] When a user connects to the free Wi-Fi at a shopping mall, the device sends the SSID "Mall_Free_WiFi" and MAC address "00:0a:95:9d:68:16" to the server.

[0888] 3. Sending information to the server

[0889] The server receives these connection information and retrieves the location information from a database.

[0890] 4. Starting the server process

[0891] The server identifies the user's current location as "food court."

[0892] 5. Selection of relevant information

[0893] The server retrieves coupon information for restaurants near the food court from a database and formats it as a push notification message.

[0894] 6. Sending push notifications

[0895] The server formats the message and sends it to the device via the messaging application's API.

[0896] 7. Receiving and Displaying Notifications

[0897] The device receives the notification from the server and displays a push notification to the user saying, "We have a coupon for a recommended restaurant near the food court!"

[0898] Users can tap on this notification to view more information and decide what to do based on the information provided.

[0899] (Application example 1)

[0900] 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."

[0901] With conventional systems, it was difficult to provide users with the information they needed at the right time in large commercial facilities and stores, making it difficult to improve user convenience.In addition, there was a lack of means to improve the marketing effectiveness of stores by providing users with promotional information for each store in real time.

[0902] 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.

[0903] In this invention, the server includes: means for acquiring location information of a user when the user connects to a wireless Internet spot; means for selecting relevant information based on the acquired location information; means for notifying the selected information to the user's messaging application; means for providing an application program for sending the selected information to the user's messaging application as a notification; means for using a generative AI model to generate content of the information to be sent to the messaging application; means for inputting a prompt to the generative AI model to generate content of the information; and means for creating a notification message based on the generated information. This allows users to receive necessary information in real time, enabling facilities and stores to carry out effective marketing activities.

[0904] A "wireless internet spot" is an access point that provides wireless internet connectivity at a specific location.

[0905] "Location information" is digital data that indicates the location where a user is physically located.

[0906] "Related information" is useful data such as gourmet information, directions, discount coupons, or promotional information selected based on the user's location information.

[0907] A "messaging application" is a software application that allows users to send and receive messages, such as LINE.

[0908] "Notification" means a notification message that the system automatically sends to the user.

[0909] An "application program" is software designed to perform a specific task.

[0910] A "generative AI model" is an artificial intelligence model that generates specific output data based on input data (prompt sentences).

[0911] A "prompt sentence" is an instruction sentence input to a generative AI model.

[0912] A "notification message" is a message containing information that is sent to a user.

[0913] A "server" is a computer system that provides services to clients over a network.

[0914] This invention is a system that acquires the user's location information when the user connects to a wireless internet spot in a large facility or store, and provides related information based on that location as a LINE notification. This system consists of a program that runs on the server side and operations on the terminal and user side.

[0915] Server Processing

[0916] The server detects when a user connects to a Wi-Fi spot within the facility. The server obtains the user's location information based on the Wi-Fi spot's identification information. This location information is used to identify the user's current location by matching it with specific areas within the facility stored in a database. The server then selects relevant information based on the obtained location information. This relevant information includes restaurant information, directions, discount coupons, and promotional information for each store. To generate this relevant information, a generative AI model is used, and a prompt sentence is input to generate information with appropriate content.

[0917] An example of a prompt to be input into the generative AI model is, "Please create a message to send recommended restaurant coupons to users near the food court of a shopping mall. Please include the details of the coupon and an effective catchphrase to attract the user's interest." Based on this prompt, the generative AI model generates relevant information, and then uses the LINE API to send a notification message to the user's LINE account.

[0918] Terminal Processing

[0919] When a user connects to a Wi-Fi spot in a facility, the user's device sends the connection information to the server. This procedure provides the server with information to obtain the user's location. The device also receives a notification from the server and displays it to the user.

[0920] User Actions

[0921] As a specific example, consider the case where a user visits a large shopping mall. First, the user connects to the mall's Wi-Fi with their smartphone. At this time, the device sends connection information to the server. The server identifies the user's location from the Wi-Fi connection information and confirms that the user is near the food court, for example. Next, the server uses a generative AI model to generate restaurant information and coupons near the food court, and enters a prompt text to create a message such as "Hello! We have coupons for recommended restaurants near the food court!" This message is sent to the user via the LINE API. The user receives a notification in the LINE app, taps to check the details, and decides what to do based on the information provided.

[0922] Hardware and software used

[0923] Smartphone: Device carried by the user (iOS, Android)

[0924] Wi-Fi Spot: Wireless network in shopping malls

[0925] Server: Remote server (AWS, Google Cloud) that processes location information and notification messages

[0926] LINE API: API for sending push notifications to users

[0927] Generative AI models: AI systems that generate information content (e.g., OpenAI GPT-3)

[0928] This allows users to receive the information they need in real time and use the facility comfortably, while also enabling the facility or store to carry out efficient and effective marketing activities.

[0929] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[0930] Step 1:

[0931] The server detects when a user connects to a wireless Internet spot (Wi-Fi spot), receives connection data as input to acquire the user's location information, and recognizes that the user is in a specific area.

[0932] Step 2:

[0933] When a user connects to a Wi-Fi spot, the device sends the connection information to the server. The input is the Wi-Fi connection information, and the output is the user's current location (e.g., near the food court).

[0934] Step 3:

[0935] The server uses the acquired connection information to identify the user's location from the wireless Internet spot's identification information and compares that location information with a database. This location information corresponds to a specific area within the facility. The input is the Wi-Fi spot's identification information and connection data, and the output is the identified area information.

[0936] Step 4:

[0937] The server selects relevant information (e.g., restaurant information, directions, discount coupons) based on the acquired location information. For this selection, a generative AI model is used to generate the content of the information by inputting a prompt. The input is the location information and the prompt, and the output is the generated relevant information.

[0938] Step 5:

[0939] The server inputs a prompt to the generative AI model: "Please create a message to send recommended restaurant coupons to users near the food court in the shopping mall. Please include the details of the coupon and an effective catchphrase to attract the user's interest." The server then generates an appropriate message using the relevant information. The input is the prompt, and the output is the generated message.

[0940] Step 6:

[0941] The server creates a notification message based on the generated message and sends it to the user's LINE account using the LINE API. The input is the generated message, and the output is the notification message sent via the LINE API. Specifically, the server uses the LINE API to send the notification message to the user.

[0942] Step 7:

[0943] The user's device receives the notification sent from the server and displays it in the LINE app. The user can tap it to view more information. The input is the notification message, and the output is the notification displayed in the LINE app.

[0944] Through the above processing steps, users can receive information about the facility in real time, allowing them to enjoy a convenient and comfortable shopping experience, while also enabling the facility or store to carry out efficient and effective marketing activities.

[0945] 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.

[0946] This invention is a system that acquires location and emotional information of users when they connect to a wireless internet spot in a large facility or store, and provides related information based on this information as LINE notifications. This system consists of a program that runs on the server side and operations on the terminal and user side.

[0947] Server Processing

[0948] The server detects that a user has connected to a Wi-Fi spot within the facility. The server obtains the user's location information based on the Wi-Fi spot's identification information. This location information is used to identify the user's current location by matching it with specific areas within the facility stored in a database. The server then uses an emotion engine to recognize the user's emotion based on the data obtained from the device. Based on this emotion information, the server selects related information in combination with the obtained location information. This related information may include restaurant information, directions, discount coupons, etc.

[0949] The selected information is sent to the user's LINE account as a notification using the LINE API. By using the LINE API, the server can create message content and send it to the user with an appropriate tone and content based on the emotional information.

[0950] Terminal Processing

[0951] When a user connects to a Wi-Fi spot within a facility, the device sends Wi-Fi connection information and the user's emotional data (e.g., facial recognition and voice analysis using the camera and microphone) to the server. This procedure provides the server with information to obtain the user's location and emotional information. The LINE app on the device also receives the notification sent from the server and displays it to the user. The LINE app displays the notification in the default notification format, and the user can tap it to view more information.

[0952] User Actions

[0953] As a specific example, consider the case where a user visits a large shopping mall. First, the user connects to the mall's Wi-Fi with their smartphone and acquires emotional data through the device's camera and microphone. At this time, the device sends the connection information and emotional data to the server. The server identifies the user's location from the Wi-Fi connection information and confirms, for example, that the user is near the food court. Next, it uses an emotion engine to recognize the user's emotional state, such as "hunger" or "tired." Based on this emotional information, the server selects restaurant information and coupons near the food court from a database and creates a LINE recommendation message saying, "Hello! You look tired. We have coupons for recommended restaurants near the food court!" This message is sent to the user via the LINE API. The user receives the notification in the LINE app, taps it to check the details, and decides what to do based on the information provided.

[0954] This system allows users to receive the information they need in real time and enjoy services that suit their emotional state, while also enabling facilities and stores to carry out efficient and effective marketing activities.

[0955] The processing flow will be explained below.

[0956] Step 1:

[0957] Subject: User

[0958] Users connect to Wi-Fi spots inside large facilities or stores.

[0959] Step 2:

[0960] Subject: Device

[0961] The device obtains Wi-Fi connection information and sends it to the server.

[0962] Step 3:

[0963] Subject: Device

[0964] The device uses a camera and microphone to acquire emotional data about the user, including facial recognition information and voice analysis data.

[0965] Step 4:

[0966] Subject: Device

[0967] The acquired emotion data is sent to the server.

[0968] Step 5:

[0969] Subject: Server

[0970] The server receives the Wi-Fi connection information sent from the device.

[0971] Step 6:

[0972] Subject: Server

[0973] The server obtains the user's location information based on the Wi-Fi spot's identification information. Specifically, it accesses a location database and identifies the area corresponding to the Wi-Fi spot.

[0974] Step 7:

[0975] Subject: Server

[0976] The server receives the emotion data transmitted from the terminal.

[0977] Step 8:

[0978] Subject: Server

[0979] The server uses an emotion engine to recognize the user's emotions from the acquired emotion data, which may include, for example, "hunger," "tiredness," or "joy."

[0980] Step 9:

[0981] Subject: Server

[0982] The server selects relevant information based on the recognized emotion and location information, specifically searching the database for information on restaurants, directions, discount coupons, and other information in the area.

[0983] Step 10:

[0984] Subject: Server

[0985] A message is created using the LINE API based on the information selected by the server. The message content is dynamically changed based on the emotional information.

[0986] Step 11:

[0987] Subject: Server

[0988] The server sends the created message to the user's LINE account via the LINE API.

[0989] Step 12:

[0990] Subject: Device

[0991] The LINE app on the device receives the promotion notification message sent from the server.

[0992] Step 13:

[0993] Subject: User

[0994] The user checks the notification in the LINE app and taps the notification content to view more information.

[0995] Step 14:

[0996] Subject: User

[0997] Based on the information provided, the user decides to take action, such as using a coupon to enjoy a meal at a restaurant.

[0998] The above is a series of processing steps for the system that combines the emotion engine of this invention. This system enables users to receive services based on location information and emotion information in real time, and also enables facilities and stores to carry out efficient and effective marketing activities.

[0999] Example 2

[1000] 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."

[1001] Although conventional systems can obtain location information when users connect to a wireless internet hotspot, they are unable to provide appropriate information based on the user's emotional state. This makes it difficult to provide real-time information tailored to the user's specific needs. Furthermore, the effectiveness of marketing activities at locations where wireless internet hotspots are used is limited.

[1002] 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.

[1003] In this invention, the server includes means for acquiring location information of a user when the user connects to a wireless Internet hotspot, means for selecting relevant information based on the acquired location information and the user's emotion data, and means for notifying the selected information to the user's messaging application, thereby enabling provision of appropriate information according to the user's current location and emotion.

[1004] A "wireless Internet spot" is a wireless access point that users use to connect to the Internet.

[1005] "Location information" refers to information about the user's current location, which is determined based on the identification information of the wireless Internet spot.

[1006] "Emotion data" is information that indicates the emotional state of a user, obtained from the user's facial expressions, voice, etc.

[1007] "Relevant information" refers to gourmet information, directions, discount coupons and other useful information that is tailored to the user and selected based on the user's location and emotional data.

[1008] "Messaging application" means an application that sends and receives text messages and multimedia messages over the Internet, including, for example, LINE and other similar applications.

[1009] "Prompt Notification" means an automated notification message sent from a server to a user's messaging application containing relevant information.

[1010] A "server" is an information processing device that processes data acquired from wireless Internet spots and terminals, and selects and notifies related information.

[1011] A "terminal" is a user's mobile device or computer that connects to a wireless internet spot, acquires emotion data, and transmits it to the server.

[1012] This system acquires location and emotional information from users when they connect to a wireless internet spot in a large facility or store, and provides relevant information based on this information as notifications in a messaging application. This system consists of a program running on the server and operations on the terminal and user side.

[1013] Server Processing

[1014] The server detects when a user connects to a wireless Internet spot within the facility. The server obtains the user's location information based on the identification information of the wireless Internet spot. This location information is used to identify the user's current location by matching it with specific areas within the facility stored in a database.

[1015] Next, the server uses an emotion engine to recognize the user's emotions based on the data acquired from the device. This emotion engine uses a general emotion analysis API (e.g., emotion analysis API). Based on this emotion information, the server combines it with the acquired location information to select related information. This related information includes restaurant information, directions, discount coupons, etc.

[1016] The selected information is sent to the user's messaging application as a notification using a messaging API (e.g., messaging API). The server can create message content and send it to the user with an appropriate tone and content based on the emotional information.

[1017] Terminal Processing

[1018] When a user connects to a wireless Internet spot within the facility, the device sends wireless Internet connection information and the user's emotional data to the server. The emotional data is acquired using the device's camera and microphone. For example, a general vision API (e.g., Vision API) or voice analysis API (e.g., Voice Analysis API) is used. This procedure provides the server with data to acquire the user's location information and emotional information.

[1019] The messaging application on the device also receives the notification sent from the server and displays it to the user. The messaging application displays the notification in the default notification format, and the user can tap it to view more information.

[1020] User Actions

[1021] As a specific example, consider the case where a user visits a large shopping mall. First, the user connects to the shopping mall's wireless internet using a mobile device and acquires emotion data through the device's camera and microphone. At this time, the device transmits the connection information and emotion data to a server.

[1022] The server identifies the user's location from wireless internet connection information and determines, for example, that the user is near a food court. Next, it uses an emotion engine to recognize the user's emotional state, such as "hunger" or "tired." Based on this emotional information, the server selects restaurant information and coupons near the food court from a database and creates a notification message saying, "Hello! You look tired. We have coupons for recommended restaurants near the food court!" This message is sent to the user via a messaging API. The user receives the notification in their messaging application, taps to check the details, and decides what to do based on the information provided.

[1023] This system allows users to receive the information they need in real time and enjoy services that suit their emotional state, while also enabling facilities and stores to carry out efficient and effective marketing activities.

[1024] Example prompt sentence:

[1025] "Describe a system that provides real-time, relevant information based on a user's location and emotional state within a commercial facility. The system operates when the user has wireless internet access and has the ability to send push notifications using a messaging API."

[1026] The flow of the identification process in the second embodiment will be described with reference to FIG.

[1027] Step 1:

[1028] The device connects to a wireless internet spot.

[1029] Input: Wi-Fi connection request from the user's device

[1030] Output: Wi-Fi connection established and access point identification information

[1031] Specific operation: The device selects the SSID of the facility's wireless Internet spot and presses the connect button. The device obtains the access point's identification information (SSID and BSSID) and completes the connection.

[1032] Step 2:

[1033] The device acquires emotion data.

[1034] Input: User's facial and voice data

[1035] Output: Obtained emotion data

[1036] How it works: The device camera takes a picture of the user's face and the microphone records their voice. This data is then sent to an emotion analysis API to analyze their emotional state.

[1037] Step 3:

[1038] The device sends Wi-Fi connection information and emotion data to the server.

[1039] Input: Wi-Fi connection information, emotional data

[1040] Output: Data sent to the server

[1041] Specific operation: The device sends wireless Internet connection information (SSID, BSSID) and emotion data to the server using HTTPS.

[1042] Step 4:

[1043] The server obtains location information from Wi-Fi connection information.

[1044] Input: Wi-Fi connection information (SSID, BSSID)

[1045] Output: Obtained location information

[1046] Specific operation: The server compares the access point identification information with the facility map data stored in the database and determines the user's current location.

[1047] Step 5:

[1048] The server analyzes the emotional information using an emotion analysis API.

[1049] Input: Emotion data sent from the device

[1050] Output: Parsed emotion information

[1051] Specific operation: The server sends emotional data to the emotion analysis API and obtains the analysis results. For example, the server identifies the user's emotional state, such as "hunger" or "tired," based on the user's tone of voice and facial expression analysis results.

[1052] Step 6:

[1053] The server selects relevant information based on location and emotion information.

[1054] Input: location information, emotion information

[1055] Output: Selected relevant information (e.g., restaurant information, discount coupons)

[1056] Specific operation: The server searches the database for relevant information that matches the location information and emotion information and selects it. For example, if the user is in a "food court" and is determined to be "hungry," it selects coupon information for a nearby restaurant.

[1057] Step 7:

[1058] The server sends the selected information as a notification using a messaging API.

[1059] Input: Selected relevant information, user's messaging application ID

[1060] Output: The push notification message sent.

[1061] Specific operation: The server creates a message based on the selected information and sends it to the user's messaging application via the messaging API. The message content might be something like, "Hello! I see you're tired. Here's a coupon for a recommended restaurant near the food court!"

[1062] Step 8:

[1063] The device receives the notification and displays it to the user.

[1064] Input: The push notification message sent by the server

[1065] Output: The displayed notification message

[1066] What happens: The device's messaging application receives the notification and displays it on the screen. The user can tap the notification to view more information.

[1067] Step 9:

[1068] The user reviews the notification and decides to act based on the details.

[1069] Input: Content of the received notification message

[1070] Output: User behavior (e.g., going to a restaurant, using a coupon)

[1071] Specific behavior: The user checks the notification they received and decides what to do next based on the information provided (e.g., coupon details).

[1072] (Application example 2)

[1073] 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."

[1074] Conventional advertising delivery systems deliver ads based on the user's location information, but do not take into account the user's emotions. As a result, the information provided may be inappropriate or may not meet the user's needs, making it difficult to deliver effective targeted advertising.

[1075] 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 means for acquiring location information of a user when the user connects to a wireless communication spot, means for selecting relevant advertising information based on the acquired location information and emotional information, and means for notifying the selected advertising information to the messaging application of the user. This makes it possible to provide optimal advertising information based on not only the user's location information but also their emotional information, thereby achieving more effective targeted advertising.

[1076] A "wireless communication spot" is a wireless access point that allows users to connect to the Internet.

[1077] "Location information" is data on the physical location of the user, estimated based on the identification information of the wireless communication spot.

[1078] "Emotional information" is data about a user's emotional state obtained through facial recognition and voice analysis.

[1079] "Advertising information" is information about specific products or services selected based on the user's location information and emotional information.

[1080] A "messaging application" is application software that enables users to send and receive text messages and notifications over the Internet.

[1081] "Server" refers to a computer system that manages wireless communication spots and selects and transmits advertising information based on the user's location and emotional information.

[1082] "Sending a notification" means sending a notification to the user's messaging application and displaying the content to the user.

[1083] This invention is a system that acquires location and emotional information from users by connecting to wireless communication spots within commercial facilities or large-scale facilities, and provides appropriate advertising information as LINE push notifications based on this information. This system is mainly composed of server-side processing and device-side processing.

[1084] Server-side processing

[1085] The server detects that a user has connected to a wireless communication spot. At this time, the server obtains the user's location information based on the identification information of the wireless communication spot. Specifically, the server uses the Wi-Fi spot's SSID (Service Set Identifier) ​​and BSSID (Basic Service Set Identifier) ​​to identify the specific area where the user is located.

[1086] The server then receives the emotion data sent from the device and uses an emotion recognition engine to analyze the user's emotional state. For example, it can use facial recognition and voice analysis technology using the smartphone's camera and microphone to identify emotions such as "tired" or "hunger."

[1087] Based on this location information and emotion information, the server selects relevant advertising information. For example, if a user is near a food court and their emotion state is "tired," the server selects discount coupon information for nearby cafes and restaurants.

[1088] The selected advertising information is sent as a push notification to the user's LINE account using the LINE API, which allows the advertising message to be generated with the appropriate tone and content and provided to the user.

[1089] Terminal side processing

[1090] When a user connects to a wireless communication spot, the device (smartphone) sends connection information (SSID and BSSID) to the server. At the same time, emotion data acquired through the device's camera and microphone is also sent to the server.

[1091] This helps the server obtain the user's location and emotional information. The LINE app is also installed on the device, and has the function of receiving push notifications sent from the server. The user checks the notifications received through the LINE app and decides what to do based on the information obtained from them.

[1092] User Actions

[1093] As a specific example, consider the case where a user visits a large shopping mall. First, the user connects to the mall's Wi-Fi using their smartphone and sends the connection information to a server. Next, the smartphone's camera and microphone are used to capture the user's emotional data, which is also sent to the server.

[1094] The server identifies the user's location from Wi-Fi connection information and then analyzes the user's emotional state using an emotion engine. For example, if the user is "hungry" and "near the food court," the server selects nearby restaurant information and discount coupons from a database. This information is sent to the user via the LINE API as a message saying, "Hello! You look tired. Here are some coupons for recommended restaurants near the food court!"

[1095] Prompt Sentence Examples

[1096] "If the user is feeling tired, generate a message about a discount coupon for a nearby cafe."

[1097] As a result, users can receive advertising information that matches their emotional state in real time, making facility use more comfortable. Advertisers can also improve their targeting accuracy, enabling more effective advertising.

[1098] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[1099] Step 1:

[1100] A user connects to the Wi-Fi in a facility. The smartphone acquires the Wi-Fi connection information (SSID and BSSID). This information is sent to the server as identification information for the wireless communication spot. The input is the SSID and BSSID connection information, and the output is the data to be sent to the server.

[1101] Step 2:

[1102] The device (smartphone) uses a camera and microphone to acquire the user's emotional data. For example, facial recognition and voice analysis technology can be used to identify emotions such as "tired" or "hunger." The emotional data is sent to a server. The input is data from the device's camera and microphone, and the output is data containing emotional information.

[1103] Step 3:

[1104] The server receives the Wi-Fi connection information and emotion data sent from the device. The input is SSID and BSSID information and emotion data, and the output is the user's location information and emotion information. The server identifies a specific area within the facility from a database based on the Wi-Fi spot's identification information and obtains the location information.

[1105] Step 4:

[1106] The server uses an emotion recognition engine to analyze the received emotion data and identify the user's emotional state. The input is emotion data, and the output is analyzed emotion information. This identifies the user's current emotional state (e.g., "tired" or "hungry").

[1107] Step 5:

[1108] The server selects relevant advertising information based on the acquired location information and emotion information. For example, if a user is "near a food court" and feels "tired," it selects discount coupons for nearby cafes and restaurants from a database. The input is location information and emotion information, and the output is the selected advertising information.

[1109] Step 6:

[1110] The server uses the LINE API to create the selected advertising information and sends it as a push notification message to the user's LINE account. The input is the selected advertising information, and the output is the push notification sent via the LINE API. For example, a message like "Hello! You look tired. Here's a coupon for a recommended restaurant near the food court!" is generated.

[1111] Step 7:

[1112] The user receives a push notification through the LINE app on their smartphone and checks the displayed message. The input is the push notification sent from the LINE API, and the output is the advertising information displayed to the user. The user decides what to do based on the information provided.

[1113] 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.

[1114] 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.

[1115] 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.

[1116] [Fourth embodiment]

[1117] FIG. 7 shows an example of the configuration of a data processing system 410 according to the fourth embodiment.

[1118] 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.

[1119] 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).

[1120] 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.

[1121] 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.

[1122] 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).

[1123] 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. 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.

[1124] 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.

[1125] 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.

[1126] 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.

[1127] 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.

[1128] 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.

[1129] 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."

[1130] This invention is a system that acquires the user's location information when the user connects to a wireless internet spot in a large facility or store, and provides related information based on that location as a LINE notification. This system consists of a program that runs on the server side and operations on the terminal and user side.

[1131] Server Processing

[1132] The server detects when a user connects to a Wi-Fi spot within the facility. The server obtains the user's location information based on the Wi-Fi spot's identification information. This location information is used to identify the user's current location by matching it with specific areas within the facility stored in a database. The server then selects relevant information based on the obtained location information. This relevant information may include restaurant information, directions, discount coupons, etc.

[1133] The selected information is sent to the user's LINE account as a notification using the LINE API. By using the LINE API, the server can create the message content and send it to the user in the appropriate format, allowing the user to easily receive notification messages.

[1134] Terminal Processing

[1135] When a user connects to a Wi-Fi spot within a facility, the device sends connection information to the server. This procedure provides the server with information to obtain the user's location. The LINE app on the device also receives the notification from the server and displays it to the user. The LINE app displays the notification in the default notification format, and the user can tap to view more information.

[1136] User Actions

[1137] As a specific example, consider the case where a user visits a large shopping mall. First, the user connects to the mall's Wi-Fi with their smartphone. At this time, the device sends connection information to the server. The server identifies the user's location from the Wi-Fi connection information and confirms that the user is near the food court, for example. Next, the server selects restaurant information and coupons near the food court from a database and creates a LINE recommendation notification with the message "Hello! We have coupons for recommended restaurants near the food court!" This message is sent to the user via the LINE API. The user receives the notification in the LINE app, taps to check the details, and decides what to do based on the information provided.

[1138] This system allows users to receive the information they need in real time, enabling them to use the facility comfortably, while also enabling the facility or store to carry out efficient and effective marketing activities.

[1139] The processing flow will be explained below.

[1140] Step 1:

[1141] Subject: User

[1142] Users connect to Wi-Fi spots inside large facilities or stores.

[1143] Step 2:

[1144] Subject: Device

[1145] The device obtains Wi-Fi connection information and sends it to the server.

[1146] Step 3:

[1147] Subject: Server

[1148] The server receives the Wi-Fi connection information sent from the device.

[1149] Step 4:

[1150] Subject: Server

[1151] The server obtains the user's location information based on the Wi-Fi spot's identification information. Specifically, it accesses a location database and identifies the area corresponding to the Wi-Fi spot.

[1152] Step 5:

[1153] Subject: Server

[1154] Based on the location information acquired by the server, the server selects relevant information, such as gourmet information, directions, and discount coupons for the area, from a database.

[1155] Step 6:

[1156] Subject: Server

[1157] The server creates a message using the LINE API based on the information selected. An example of the message content might be, "Hello! Here's a coupon for a recommended restaurant near the food court!"

[1158] Step 7:

[1159] Subject: Server

[1160] The server creates a message and sends it to the user's LINE account via the LINE API.

[1161] Step 8:

[1162] Subject: Device

[1163] The LINE app on the device receives the promotion notification message sent from the server.

[1164] Step 9:

[1165] Subject: User

[1166] The user checks the notification in the LINE app and taps the notification content to view more information.

[1167] Step 10:

[1168] Subject: User

[1169] Based on the information provided, the user decides to take action, such as using a coupon to enjoy a meal at a restaurant.

[1170] The above is a series of processing steps in the system of the present invention. This system allows users to receive necessary information in real time, and facilities and stores can also carry out efficient marketing activities.

[1171] Example 1

[1172] 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."

[1173] Currently, many large facilities and stores offer wireless internet spots for their users, but they only provide the wireless internet connection itself and do not provide appropriate information based on the user's current location. This means that users cannot receive the information they need in real time within the facility, making it difficult to shop and use the facility efficiently.

[1174] 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.

[1175] In this invention, the server includes: means for transmitting connection information when a terminal connects to a wireless Internet spot; means for the server to acquire the user's location information using the wireless Internet spot's identification information; means for the server to select relevant information from a database based on the acquired location information; means for the server to notify the selected information to the user using a messaging application's API; and means for the terminal to receive and display the notification. This allows users to receive appropriate information based on their location in real time within the facility, realizing efficient and convenient facility use. It also enables the facility to provide effective information and marketing based on the user's location.

[1176] "Terminal" means a user's mobile device that can connect to a wireless Internet spot.

[1177] A "wireless internet spot" is an access point located in a specific area that provides Wi-Fi.

[1178] "Connection information" refers to data such as the SSID and MAC address that is sent when a device connects to a wireless Internet spot.

[1179] A "server" is a computer system that receives user connection information, acquires location information, and selects related information.

[1180] "Location information" refers to information about the user's current location, which is identified based on the identification information of the wireless Internet spot.

[1181] "Wireless Internet spot identification information" refers to an identification number or name unique to each access point.

[1182] "Related information" refers to content such as store information, route information, or preferential treatment information selected based on the user's location information.

[1183] A "database" is a data management system that stores related information, location information, etc., and allows for searching and retrieval as needed.

[1184] A "messaging application API" is an interface for sending data from an external server or system to a messaging application.

[1185] "Promotion notifications" are reminder messages or notifications sent from the server to the user via a messaging application.

[1186] The "means for displaying a notification" refers to a function in which a messaging application installed on a user's device receives a notification and visually notifies the user.

[1187] This system acquires location information when a user connects to a wireless internet spot in a large facility or store, and provides relevant information based on the acquired location information as a push notification via a messaging application. This system consists of a program executed on the server side and operations on the terminal and user side.

[1188] Server-side processing

[1189] The server runs the system through the following steps:

[1190] 1. Wi-Fi connection detection

[1191] The server receives connection information sent from the user's device connecting to the wireless Internet spot. This connection information includes the SSID, MAC address, etc. Based on this information, the server recognizes which wireless Internet spot the user's device is connected to.

[1192] 2. Obtaining location information

[1193] The server uses the received wireless Internet spot identification information to obtain the user's location information from a database, which stores information about the area within the facility that corresponds to each spot. This information identifies the area within the facility where the user is located.

[1194] 3. Selection of relevant information

[1195] The server selects relevant information from its database based on the identified area, including store information, route information, special offers, etc. The selected information is most relevant to the user's current location.

[1196] 4. Sending push notifications

[1197] The server uses the API of the messaging application to send the selected information to the user as a push notification. To this end, the server organizes the selected information, converts it into an appropriate message format, and sends it.

[1198] Terminal side processing

[1199] The terminal executes the following process.

[1200] 1. Sending Wi-Fi connection information

[1201] When a user's device connects to a wireless Internet spot within the facility, the connection information is automatically sent to the server, which then uses this information to identify the user's location.

[1202] 2. Receiving and displaying push notifications

[1203] The push notification sent from the server is received by the messaging application installed on the user's device. The messaging application displays the push notification to the user using a standard notification format. When the user taps the notification, detailed information is displayed.

[1204] Specific examples of user actions

[1205] For example, when a user visits a large shopping mall, the system operates as follows.

[1206] 1. A user connects to the shopping mall's Wi-Fi using their smartphone.

[1207] 2. The device sends the connection information to the server. For example, the connection SSID is "Mall_Free_WiFi" and the MAC address is "00:0a:95:9d:68:16".

[1208] 3. The server receives the connection information and identifies the corresponding area. In this case, we assume the user is near the food court.

[1209] 4. The server selects coupons and recommended menu items for nearby restaurants based on the food court information, and sends a notification to the user using the messaging application's API. For example, the message content might be, "We have coupons for recommended restaurants near the food court!"

[1210] 5. The messaging application receives the notification on the user's smartphone and displays a push notification to the user, who taps on the notification to view more information and decides to act based on the information provided.

[1211] Examples of prompt statements

[1212] "I'm in the food court at the mall. Can you recommend a restaurant or give me some coupon information?"

[1213] This system allows users to receive appropriate information based on their location in real time within the facility, making facility use more efficient and convenient.It also enables facilities to provide more effective information and marketing based on users' locations.

[1214] The flow of the identification process in the first embodiment will be described with reference to FIG.

[1215] Step 1:

[1216] Detecting Wi-Fi connections and sending connection information (device)

[1217] When a device connects to a Wi-Fi hotspot within a facility, the connection information is automatically sent to the server, including the SSID (network name) and MAC address (physical address).

[1218] Input: Wi-Fi connection information of the device (SSID, MAC address)

[1219] Data processing: The device converts the connection information into packets to send to the server.

[1220] Output: Connection information in the form of packets sent to the server

[1221] Step 2:

[1222] Receiving connection information and obtaining location information (server)

[1223] The server receives the connection information sent from the terminal, and then retrieves the user's location information from the database using the wireless Internet spot's identification information.

[1224] Input: Connection information sent from the device (SSID, MAC address)

[1225] Data processing: The server analyzes the received connection information and extracts the SSID and MAC address.

[1226] Data calculation: Based on the extracted identification information, the database is queried to obtain the corresponding area information.

[1227] Output: User location information (e.g. food court, entrance, etc.)

[1228] Step 3:

[1229] Selection of relevant information based on location information (server)

[1230] The server selects relevant information from a database based on the acquired location information, including information on nearby stores, routes, and special offers.

[1231] Input: User's location

[1232] Data processing: Filter relevant information based on location information.

[1233] Data calculations: Selecting the most relevant information from the filtered information.

[1234] Output: Selected relevant information (e.g., restaurant coupons, sales information for specific stores)

[1235] Step 4:

[1236] Generate and send push notifications (server)

[1237] The server uses the messaging application's API to send the selected information to the user as a push notification, formatting the message content appropriately.

[1238] Input: Selected relevant information

[1239] Data processing: Converting relevant information into a messaging application API format.

[1240] Output: Push notification message sent to the user's device

[1241] Step 5:

[1242] Receiving and displaying push notifications (device)

[1243] The device receives a push notification from the server and displays it in the messaging application. The user can tap the notification to view more information.

[1244] Input: Push notification from the server

[1245] Data processing: Messages are formatted by messaging applications to display push notifications in a user-friendly format.

[1246] Output: A visual notification message displayed on the terminal.

[1247] Specific operation example

[1248] 1. The user enters the facility

[1249] A user visits a large shopping mall with their smartphone.

[1250] 2. Connect to Wi-Fi

[1251] When a user connects to the free Wi-Fi at a shopping mall, the device sends the SSID "Mall_Free_WiFi" and MAC address "00:0a:95:9d:68:16" to the server.

[1252] 3. Sending information to the server

[1253] The server receives these connection information and retrieves the location information from a database.

[1254] 4. Starting the server process

[1255] The server identifies the user's current location as "food court."

[1256] 5. Selection of relevant information

[1257] The server retrieves coupon information for restaurants near the food court from a database and formats it as a push notification message.

[1258] 6. Sending push notifications

[1259] The server formats the message and sends it to the device via the messaging application's API.

[1260] 7. Receiving and Displaying Notifications

[1261] The device receives the notification from the server and displays a push notification to the user saying, "We have a coupon for a recommended restaurant near the food court!"

[1262] Users can tap on this notification to view more information and decide what to do based on the information provided.

[1263] (Application example 1)

[1264] 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."

[1265] With conventional systems, it was difficult to provide users with the information they needed at the right time in large commercial facilities and stores, making it difficult to improve user convenience.In addition, there was a lack of means to improve the marketing effectiveness of stores by providing users with promotional information for each store in real time.

[1266] 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.

[1267] In this invention, the server includes: means for acquiring location information of a user when the user connects to a wireless Internet spot; means for selecting relevant information based on the acquired location information; means for notifying the selected information to the user's messaging application; means for providing an application program for sending the selected information to the user's messaging application as a notification; means for using a generative AI model to generate content of the information to be sent to the messaging application; means for inputting a prompt to the generative AI model to generate content of the information; and means for creating a notification message based on the generated information. This allows users to receive necessary information in real time, enabling facilities and stores to carry out effective marketing activities.

[1268] A "wireless internet spot" is an access point that provides wireless internet connectivity at a specific location.

[1269] "Location information" is digital data that indicates the location where a user is physically located.

[1270] "Related information" is useful data such as gourmet information, directions, discount coupons, or promotional information selected based on the user's location information.

[1271] A "messaging application" is a software application that allows users to send and receive messages, such as LINE.

[1272] "Notification" means a notification message that the system automatically sends to the user.

[1273] An "application program" is software designed to perform a specific task.

[1274] A "generative AI model" is an artificial intelligence model that generates specific output data based on input data (prompt sentences).

[1275] A "prompt sentence" is an instruction sentence input to a generative AI model.

[1276] A "notification message" is a message containing information that is sent to a user.

[1277] A "server" is a computer system that provides services to clients over a network.

[1278] This invention is a system that acquires the user's location information when the user connects to a wireless internet spot in a large facility or store, and provides related information based on that location as a LINE notification. This system consists of a program that runs on the server side and operations on the terminal and user side.

[1279] Server Processing

[1280] The server detects when a user connects to a Wi-Fi spot within the facility. The server obtains the user's location information based on the Wi-Fi spot's identification information. This location information is used to identify the user's current location by matching it with specific areas within the facility stored in a database. The server then selects relevant information based on the obtained location information. This relevant information includes restaurant information, directions, discount coupons, and promotional information for each store. To generate this relevant information, a generative AI model is used, and a prompt sentence is input to generate information with appropriate content.

[1281] An example of a prompt to be input into the generative AI model is, "Please create a message to send recommended restaurant coupons to users near the food court of a shopping mall. Please include the details of the coupon and an effective catchphrase to attract the user's interest." Based on this prompt, the generative AI model generates relevant information, and then uses the LINE API to send a notification message to the user's LINE account.

[1282] Terminal Processing

[1283] When a user connects to a Wi-Fi spot in a facility, the user's device sends the connection information to the server. This procedure provides the server with information to obtain the user's location. The device also receives a notification from the server and displays it to the user.

[1284] User Actions

[1285] As a specific example, consider the case where a user visits a large shopping mall. First, the user connects to the mall's Wi-Fi with their smartphone. At this time, the device sends connection information to the server. The server identifies the user's location from the Wi-Fi connection information and confirms that the user is near the food court, for example. Next, the server uses a generative AI model to generate restaurant information and coupons near the food court, and enters a prompt text to create a message such as "Hello! We have coupons for recommended restaurants near the food court!" This message is sent to the user via the LINE API. The user receives a notification in the LINE app, taps to check the details, and decides what to do based on the information provided.

[1286] Hardware and software used

[1287] Smartphone: Device carried by the user (iOS, Android)

[1288] Wi-Fi Spot: Wireless network in shopping malls

[1289] Server: Remote server (AWS, Google Cloud) that processes location information and notification messages

[1290] LINE API: API for sending push notifications to users

[1291] Generative AI models: AI systems that generate information content (e.g., OpenAI GPT-3)

[1292] This allows users to receive the information they need in real time and use the facility comfortably, while also enabling the facility or store to carry out efficient and effective marketing activities.

[1293] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[1294] Step 1:

[1295] The server detects when a user connects to a wireless Internet spot (Wi-Fi spot), receives connection data as input to acquire the user's location information, and recognizes that the user is in a specific area.

[1296] Step 2:

[1297] When a user connects to a Wi-Fi spot, the device sends the connection information to the server. The input is the Wi-Fi connection information, and the output is the user's current location (e.g., near the food court).

[1298] Step 3:

[1299] The server uses the acquired connection information to identify the user's location from the wireless Internet spot's identification information and compares that location information with a database. This location information corresponds to a specific area within the facility. The input is the Wi-Fi spot's identification information and connection data, and the output is the identified area information.

[1300] Step 4:

[1301] The server selects relevant information (e.g., restaurant information, directions, discount coupons) based on the acquired location information. For this selection, a generative AI model is used to generate the content of the information by inputting a prompt. The input is the location information and the prompt, and the output is the generated relevant information.

[1302] Step 5:

[1303] The server inputs a prompt to the generative AI model: "Please create a message to send recommended restaurant coupons to users near the food court in the shopping mall. Please include the details of the coupon and an effective catchphrase to attract the user's interest." The server then generates an appropriate message using the relevant information. The input is the prompt, and the output is the generated message.

[1304] Step 6:

[1305] The server creates a notification message based on the generated message and sends it to the user's LINE account using the LINE API. The input is the generated message, and the output is the notification message sent via the LINE API. Specifically, the server uses the LINE API to send the notification message to the user.

[1306] Step 7:

[1307] The user's device receives the notification sent from the server and displays it in the LINE app. The user can tap it to view more information. The input is the notification message, and the output is the notification displayed in the LINE app.

[1308] Through the above processing steps, users can receive information about the facility in real time, allowing them to enjoy a convenient and comfortable shopping experience, while also enabling the facility or store to carry out efficient and effective marketing activities.

[1309] 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.

[1310] This invention is a system that acquires location and emotional information of users when they connect to a wireless internet spot in a large facility or store, and provides related information based on this information as LINE notifications. This system consists of a program that runs on the server side and operations on the terminal and user side.

[1311] Server Processing

[1312] The server detects that a user has connected to a Wi-Fi spot within the facility. The server obtains the user's location information based on the Wi-Fi spot's identification information. This location information is used to identify the user's current location by matching it with specific areas within the facility stored in a database. The server then uses an emotion engine to recognize the user's emotion based on the data obtained from the device. Based on this emotion information, the server selects related information in combination with the obtained location information. This related information may include restaurant information, directions, discount coupons, etc.

[1313] The selected information is sent to the user's LINE account as a notification using the LINE API. By using the LINE API, the server can create message content and send it to the user with an appropriate tone and content based on the emotional information.

[1314] Terminal Processing

[1315] When a user connects to a Wi-Fi spot within a facility, the device sends Wi-Fi connection information and the user's emotional data (e.g., facial recognition and voice analysis using the camera and microphone) to the server. This procedure provides the server with information to obtain the user's location and emotional information. The LINE app on the device also receives the notification sent from the server and displays it to the user. The LINE app displays the notification in the default notification format, and the user can tap it to view more information.

[1316] User Actions

[1317] As a specific example, consider the case where a user visits a large shopping mall. First, the user connects to the mall's Wi-Fi with their smartphone and acquires emotional data through the device's camera and microphone. At this time, the device sends the connection information and emotional data to the server. The server identifies the user's location from the Wi-Fi connection information and confirms, for example, that the user is near the food court. Next, it uses an emotion engine to recognize the user's emotional state, such as "hunger" or "tired." Based on this emotional information, the server selects restaurant information and coupons near the food court from a database and creates a LINE recommendation message saying, "Hello! You look tired. We have coupons for recommended restaurants near the food court!" This message is sent to the user via the LINE API. The user receives the notification in the LINE app, taps it to check the details, and decides what to do based on the information provided.

[1318] This system allows users to receive the information they need in real time and enjoy services that suit their emotional state, while also enabling facilities and stores to carry out efficient and effective marketing activities.

[1319] The processing flow will be explained below.

[1320] Step 1:

[1321] Subject: User

[1322] Users connect to Wi-Fi spots inside large facilities or stores.

[1323] Step 2:

[1324] Subject: Device

[1325] The device obtains Wi-Fi connection information and sends it to the server.

[1326] Step 3:

[1327] Subject: Device

[1328] The device uses a camera and microphone to acquire emotional data about the user, including facial recognition information and voice analysis data.

[1329] Step 4:

[1330] Subject: Device

[1331] The acquired emotion data is sent to the server.

[1332] Step 5:

[1333] Subject: Server

[1334] The server receives the Wi-Fi connection information sent from the device.

[1335] Step 6:

[1336] Subject: Server

[1337] The server obtains the user's location information based on the Wi-Fi spot's identification information. Specifically, it accesses a location database and identifies the area corresponding to the Wi-Fi spot.

[1338] Step 7:

[1339] Subject: Server

[1340] The server receives the emotion data transmitted from the terminal.

[1341] Step 8:

[1342] Subject: Server

[1343] The server uses an emotion engine to recognize the user's emotions from the acquired emotion data, which may include, for example, "hunger," "tiredness," or "joy."

[1344] Step 9:

[1345] Subject: Server

[1346] The server selects relevant information based on the recognized emotion and location information, specifically searching the database for information on restaurants, directions, discount coupons, and other information in the area.

[1347] Step 10:

[1348] Subject: Server

[1349] A message is created using the LINE API based on the information selected by the server. The message content is dynamically changed based on the emotional information.

[1350] Step 11:

[1351] Subject: Server

[1352] The server sends the created message to the user's LINE account via the LINE API.

[1353] Step 12:

[1354] Subject: Device

[1355] The LINE app on the device receives the promotion notification message sent from the server.

[1356] Step 13:

[1357] Subject: User

[1358] The user checks the notification in the LINE app and taps the notification content to view more information.

[1359] Step 14:

[1360] Subject: User

[1361] Based on the information provided, the user decides to take action, such as using a coupon to enjoy a meal at a restaurant.

[1362] The above is a series of processing steps for the system that combines the emotion engine of this invention. This system enables users to receive services based on location information and emotion information in real time, and also enables facilities and stores to carry out efficient and effective marketing activities.

[1363] Example 2

[1364] 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."

[1365] Although conventional systems can obtain location information when users connect to a wireless internet hotspot, they are unable to provide appropriate information based on the user's emotional state. This makes it difficult to provide real-time information tailored to the user's specific needs. Furthermore, the effectiveness of marketing activities at locations where wireless internet hotspots are used is limited.

[1366] 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.

[1367] In this invention, the server includes means for acquiring location information of a user when the user connects to a wireless Internet hotspot, means for selecting relevant information based on the acquired location information and the user's emotion data, and means for notifying the selected information to the user's messaging application, thereby enabling provision of appropriate information according to the user's current location and emotion.

[1368] A "wireless Internet spot" is a wireless access point that users use to connect to the Internet.

[1369] "Location information" refers to information about the user's current location, which is determined based on the identification information of the wireless Internet spot.

[1370] "Emotion data" is information that indicates the emotional state of a user, obtained from the user's facial expressions, voice, etc.

[1371] "Relevant information" refers to gourmet information, directions, discount coupons and other useful information that is tailored to the user and selected based on the user's location and emotional data.

[1372] "Messaging application" means an application that sends and receives text messages and multimedia messages over the Internet, including, for example, LINE and other similar applications.

[1373] "Prompt Notification" means an automated notification message sent from a server to a user's messaging application containing relevant information.

[1374] A "server" is an information processing device that processes data acquired from wireless Internet spots and terminals, and selects and notifies related information.

[1375] A "terminal" is a user's mobile device or computer that connects to a wireless internet spot, acquires emotion data, and transmits it to the server.

[1376] This system acquires location and emotional information from users when they connect to a wireless internet spot in a large facility or store, and provides relevant information based on this information as notifications in a messaging application. This system consists of a program running on the server and operations on the terminal and user side.

[1377] Server Processing

[1378] The server detects when a user connects to a wireless Internet spot within the facility. The server obtains the user's location information based on the identification information of the wireless Internet spot. This location information is used to identify the user's current location by matching it with specific areas within the facility stored in a database.

[1379] Next, the server uses an emotion engine to recognize the user's emotions based on the data acquired from the device. This emotion engine uses a general emotion analysis API (e.g., emotion analysis API). Based on this emotion information, the server combines it with the acquired location information to select related information. This related information includes restaurant information, directions, discount coupons, etc.

[1380] The selected information is sent to the user's messaging application as a notification using a messaging API (e.g., messaging API). The server can create message content and send it to the user with an appropriate tone and content based on the emotional information.

[1381] Terminal Processing

[1382] When a user connects to a wireless Internet spot within the facility, the device sends wireless Internet connection information and the user's emotional data to the server. The emotional data is acquired using the device's camera and microphone. For example, a general vision API (e.g., Vision API) or voice analysis API (e.g., Voice Analysis API) is used. This procedure provides the server with data to acquire the user's location information and emotional information.

[1383] The messaging application on the device also receives the notification sent from the server and displays it to the user. The messaging application displays the notification in the default notification format, and the user can tap it to view more information.

[1384] User Actions

[1385] As a specific example, consider the case where a user visits a large shopping mall. First, the user connects to the shopping mall's wireless internet using a mobile device and acquires emotion data through the device's camera and microphone. At this time, the device transmits the connection information and emotion data to a server.

[1386] The server identifies the user's location from wireless internet connection information and determines, for example, that the user is near a food court. Next, it uses an emotion engine to recognize the user's emotional state, such as "hunger" or "tired." Based on this emotional information, the server selects restaurant information and coupons near the food court from a database and creates a notification message saying, "Hello! You look tired. We have coupons for recommended restaurants near the food court!" This message is sent to the user via a messaging API. The user receives the notification in their messaging application, taps to check the details, and decides what to do based on the information provided.

[1387] This system allows users to receive the information they need in real time and enjoy services that suit their emotional state, while also enabling facilities and stores to carry out efficient and effective marketing activities.

[1388] Example prompt sentence:

[1389] "Describe a system that provides real-time, relevant information based on a user's location and emotional state within a commercial facility. The system operates when the user has wireless internet access and has the ability to send push notifications using a messaging API."

[1390] The flow of the identification process in the second embodiment will be described with reference to FIG.

[1391] Step 1:

[1392] The device connects to a wireless internet spot.

[1393] Input: Wi-Fi connection request from the user's device

[1394] Output: Wi-Fi connection established and access point identification information

[1395] Specific operation: The device selects the SSID of the facility's wireless Internet spot and presses the connect button. The device obtains the access point's identification information (SSID and BSSID) and completes the connection.

[1396] Step 2:

[1397] The device acquires emotion data.

[1398] Input: User's facial and voice data

[1399] Output: Obtained emotion data

[1400] How it works: The device camera takes a picture of the user's face and the microphone records their voice. This data is then sent to an emotion analysis API to analyze their emotional state.

[1401] Step 3:

[1402] The device sends Wi-Fi connection information and emotion data to the server.

[1403] Input: Wi-Fi connection information, emotional data

[1404] Output: Data sent to the server

[1405] Specific operation: The device sends wireless Internet connection information (SSID, BSSID) and emotion data to the server using HTTPS.

[1406] Step 4:

[1407] The server obtains location information from Wi-Fi connection information.

[1408] Input: Wi-Fi connection information (SSID, BSSID)

[1409] Output: Obtained location information

[1410] Specific operation: The server compares the access point identification information with the facility map data stored in the database and determines the user's current location.

[1411] Step 5:

[1412] The server analyzes the emotional information using an emotion analysis API.

[1413] Input: Emotion data sent from the device

[1414] Output: Parsed emotion information

[1415] Specific operation: The server sends emotional data to the emotion analysis API and obtains the analysis results. For example, the server identifies the user's emotional state, such as "hunger" or "tired," based on the user's tone of voice and facial expression analysis results.

[1416] Step 6:

[1417] The server selects relevant information based on location and emotion information.

[1418] Input: location information, emotion information

[1419] Output: Selected relevant information (e.g., restaurant information, discount coupons)

[1420] Specific operation: The server searches the database for relevant information that matches the location information and emotion information and selects it. For example, if the user is in a "food court" and is determined to be "hungry," it selects coupon information for a nearby restaurant.

[1421] Step 7:

[1422] The server sends the selected information as a notification using a messaging API.

[1423] Input: Selected relevant information, user's messaging application ID

[1424] Output: The push notification message sent.

[1425] Specific operation: The server creates a message based on the selected information and sends it to the user's messaging application via the messaging API. The message content might be something like, "Hello! I see you're tired. Here's a coupon for a recommended restaurant near the food court!"

[1426] Step 8:

[1427] The device receives the notification and displays it to the user.

[1428] Input: The push notification message sent by the server

[1429] Output: The displayed notification message

[1430] What happens: The device's messaging application receives the notification and displays it on the screen. The user can tap the notification to view more information.

[1431] Step 9:

[1432] The user reviews the notification and decides to act based on the details.

[1433] Input: Content of the received notification message

[1434] Output: User behavior (e.g., going to a restaurant, using a coupon)

[1435] Specific behavior: The user checks the notification they received and decides what to do next based on the information provided (e.g., coupon details).

[1436] (Application example 2)

[1437] 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."

[1438] Conventional advertising delivery systems deliver ads based on the user's location information, but do not take into account the user's emotions. As a result, the information provided may be inappropriate or may not meet the user's needs, making it difficult to deliver effective targeted advertising.

[1439] 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 means for acquiring location information of a user when the user connects to a wireless communication spot, means for selecting relevant advertising information based on the acquired location information and emotional information, and means for notifying the selected advertising information to the messaging application of the user. This makes it possible to provide optimal advertising information based on not only the user's location information but also their emotional information, thereby achieving more effective targeted advertising.

[1440] A "wireless communication spot" is a wireless access point that allows users to connect to the Internet.

[1441] "Location information" is data on the physical location of the user, estimated based on the identification information of the wireless communication spot.

[1442] "Emotional information" is data about a user's emotional state obtained through facial recognition and voice analysis.

[1443] "Advertising information" is information about specific products or services selected based on the user's location information and emotional information.

[1444] A "messaging application" is application software that enables users to send and receive text messages and notifications over the Internet.

[1445] "Server" refers to a computer system that manages wireless communication spots and selects and transmits advertising information based on the user's location and emotional information.

[1446] "Sending a notification" means sending a notification to the user's messaging application and displaying the content to the user.

[1447] This invention is a system that acquires location and emotional information from users by connecting to wireless communication spots within commercial facilities or large-scale facilities, and provides appropriate advertising information as LINE push notifications based on this information. This system is mainly composed of server-side processing and device-side processing.

[1448] Server-side processing

[1449] The server detects that a user has connected to a wireless communication spot. At this time, the server obtains the user's location information based on the identification information of the wireless communication spot. Specifically, the server uses the Wi-Fi spot's SSID (Service Set Identifier) ​​and BSSID (Basic Service Set Identifier) ​​to identify the specific area where the user is located.

[1450] The server then receives the emotion data sent from the device and uses an emotion recognition engine to analyze the user's emotional state. For example, it can use facial recognition and voice analysis technology using the smartphone's camera and microphone to identify emotions such as "tired" or "hunger."

[1451] Based on this location information and emotion information, the server selects relevant advertising information. For example, if a user is near a food court and their emotion state is "tired," the server selects discount coupon information for nearby cafes and restaurants.

[1452] The selected advertising information is sent as a push notification to the user's LINE account using the LINE API, which allows the advertising message to be generated with the appropriate tone and content and provided to the user.

[1453] Terminal side processing

[1454] When a user connects to a wireless communication spot, the device (smartphone) sends connection information (SSID and BSSID) to the server. At the same time, emotion data acquired through the device's camera and microphone is also sent to the server.

[1455] This helps the server obtain the user's location and emotional information. The LINE app is also installed on the device, and has the function of receiving push notifications sent from the server. The user checks the notifications received through the LINE app and decides what to do based on the information obtained from them.

[1456] User Actions

[1457] As a specific example, consider the case where a user visits a large shopping mall. First, the user connects to the mall's Wi-Fi using their smartphone and sends the connection information to a server. Next, the smartphone's camera and microphone are used to capture the user's emotional data, which is also sent to the server.

[1458] The server identifies the user's location from Wi-Fi connection information and then analyzes the user's emotional state using an emotion engine. For example, if the user is "hungry" and "near the food court," the server selects nearby restaurant information and discount coupons from a database. This information is sent to the user via the LINE API as a message saying, "Hello! You look tired. Here are some coupons for recommended restaurants near the food court!"

[1459] Prompt Sentence Examples

[1460] "If the user is feeling tired, generate a message about a discount coupon for a nearby cafe."

[1461] As a result, users can receive advertising information that matches their emotional state in real time, making facility use more comfortable. Advertisers can also improve their targeting accuracy, enabling more effective advertising.

[1462] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[1463] Step 1:

[1464] A user connects to the Wi-Fi in a facility. The smartphone acquires the Wi-Fi connection information (SSID and BSSID). This information is sent to the server as identification information for the wireless communication spot. The input is the SSID and BSSID connection information, and the output is the data to be sent to the server.

[1465] Step 2:

[1466] The device (smartphone) uses a camera and microphone to acquire the user's emotional data. For example, facial recognition and voice analysis technology can be used to identify emotions such as "tired" or "hunger." The emotional data is sent to a server. The input is data from the device's camera and microphone, and the output is data containing emotional information.

[1467] Step 3:

[1468] The server receives the Wi-Fi connection information and emotion data sent from the device. The input is SSID and BSSID information and emotion data, and the output is the user's location information and emotion information. The server identifies a specific area within the facility from a database based on the Wi-Fi spot's identification information and obtains the location information.

[1469] Step 4:

[1470] The server uses an emotion recognition engine to analyze the received emotion data and identify the user's emotional state. The input is emotion data, and the output is analyzed emotion information. This identifies the user's current emotional state (e.g., "tired" or "hungry").

[1471] Step 5:

[1472] The server selects relevant advertising information based on the acquired location information and emotion information. For example, if a user is "near a food court" and feels "tired," it selects discount coupons for nearby cafes and restaurants from a database. The input is location information and emotion information, and the output is the selected advertising information.

[1473] Step 6:

[1474] The server uses the LINE API to create the selected advertising information and sends it as a push notification message to the user's LINE account. The input is the selected advertising information, and the output is the push notification sent via the LINE API. For example, a message like "Hello! You look tired. Here's a coupon for a recommended restaurant near the food court!" is generated.

[1475] Step 7:

[1476] The user receives a push notification through the LINE app on their smartphone and checks the displayed message. The input is the push notification sent from the LINE API, and the output is the advertising information displayed to the user. The user decides what to do based on the information provided.

[1477] 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.

[1478] 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.

[1479] 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.

[1480] 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.

[1481] 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.

[1482] 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.

[1483] 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).

[1484] 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.

[1485] 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."

[1486] 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.

[1487] 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).

[1488] 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.

[1489] 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.

[1490] 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.

[1491] 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.

[1492] 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.

[1493] 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.

[1494] 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.

[1495] 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.

[1496] 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.

[1497] 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.

[1498] The following is further disclosed regarding the above embodiment.

[1499] (Claim 1)

[1500] a means for acquiring location information of a user when the user connects to a wireless Internet spot;

[1501] A means for selecting related information based on the acquired location information;

[1502] means for pushing the selected information to the user's messaging application;

[1503] A system including:

[1504] (Claim 2)

[1505] 10. The system of claim 1, wherein the recommendation includes restaurant information, directions, or discount coupons based on the user's location.

[1506] (Claim 3)

[1507] 10. The system of claim 1, wherein the means for obtaining location information uses identification information of the wireless internet spot.

[1508] (Claim 4)

[1509] The system of claim 1 , wherein the messaging application includes functionality for providing concierge services.

[1510] (Claim 5)

[1511] 2. The system of claim 1, wherein chat artificial intelligence is used to provide the selected information.

[1512] "Example 1"

[1513] (Claim 1)

[1514] means for transmitting connection information when the terminal connects to a wireless Internet spot;

[1515] A means for the server to acquire location information of the user using identification information of the wireless Internet spot;

[1516] A means for selecting related information from a database based on the location information acquired by the server;

[1517] A means for the server to notify the selected information to the user using an API of a messaging application;

[1518] means for receiving the notification and displaying the notification on the terminal;

[1519] A system including:

[1520] (Claim 2)

[1521] The system according to claim 1, wherein the notification includes store information, route information, or special offer information based on the user's location.

[1522] (Claim 3)

[1523] 2. The system according to claim 1, wherein the terminal transmits connection information, and the server obtains location information using identification information of the wireless Internet spot.

[1524] "Application Example 1"

[1525] (Claim 1)

[1526] a means for acquiring location information of a user when the user connects to a wireless Internet spot;

[1527] A means for selecting related information based on the acquired location information;

[1528] means for pushing the selected information to the user's messaging application;

[1529] means including an application program for transmitting the selected information as a notification to the user's messaging application;

[1530] a means for using a generative AI model to generate content for information to be sent to a messaging application;

[1531] A means for inputting a prompt sentence to the generative AI model to generate information content;

[1532] means for generating a notification message based on the generated information;

[1533] A system including:

[1534] (Claim 2)

[1535] 2. The system of claim 1, wherein the notification includes gourmet information, directions, discount coupons, or promotional information for each store based on the user's location.

[1536] (Claim 3)

[1537] 10. The system of claim 1, wherein the means for obtaining location information uses identification information of the wireless internet spot.

[1538] "Example 2: Combining Emotion Engines"

[1539] (Claim 1)

[1540] a means for acquiring location information of a user when the user connects to a wireless Internet spot;

[1541] A means for selecting related information based on the acquired location information and user emotion data;

[1542] means for pushing the selected information to the user's messaging application;

[1543] A system including:

[1544] (Claim 2)

[1545] 10. The system of claim 1, wherein the recommendation includes gourmet information, directions, or discount coupons based on the user's location and emotions.

[1546] (Claim 3)

[1547] 2. The system of claim 1, wherein the means for acquiring location information and emotion data uses identification information of the wireless internet spot and a sensor of the terminal.

[1548] "Application example 2 when combining emotion engines"

[1549] (Claim 1)

[1550] a means for acquiring location information of a user when the user connects to a wireless communication spot;

[1551] A means for selecting relevant advertising information based on the acquired location information and emotion information;

[1552] means for pushing the selected advertising information to the user's messaging application;

[1553] A system including:

[1554] (Claim 2)

[1555] 10. The system of claim 1, wherein the recommendations include advertising information based on the user's location and emotions.

[1556] (Claim 3)

[1557] 2. The system according to claim 1, wherein the means for acquiring the location information uses identification information of the wireless communication spot. [Explanation of symbols]

[1558] 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 of a user when the user connects to a wireless Internet spot; A means for selecting related information based on the acquired location information; means for pushing the selected information to the user's messaging application; A system including:

2. The system of claim 1 , wherein the recommended notifications include restaurant information, driving directions, or discount coupons based on the user's location.

3. 2. The system of claim 1, wherein the means for obtaining location information uses identification information of the wireless internet spot.

4. The system of claim 1 , wherein the messaging application includes functionality for providing concierge services.

5. 10. The system of claim 1, wherein the system uses chat artificial intelligence to provide the selected information.

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