System

Abstract

An object of a system according to an embodiment is to enable a user to easily grasp a shop suitable for the user, and products and prices in the shop.SOLUTION: A system includes a position information acquisition part, a taste analysis part, a shop display part, and a commodity display part. The position information acquisition unit acquires position information of a user. The preference analysis section analyzes a preference of the user based on the position information acquired by the position information acquisition section. The shop display unit displays a shop based on the preference analyzed by the preference analysis unit. The product display section displays products and prices in the shop displayed by the shop display section.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 technology has had the problem that it is difficult for users to easily find a shop that suits them, as well as the products and prices in that shop.

[0005] The system according to the embodiment aims to enable a user to easily find a shop that suits the user, as well as the products and prices in the shop. [Means for solving the problem]

[0006] The system according to the embodiment includes a location information acquisition unit, a preference analysis unit, a shop display unit, and a product display unit. The location information acquisition unit acquires location information of a user. The preference analysis unit analyzes the user's preferences based on the location information acquired by the location information acquisition unit. The shop display unit displays shops based on the preferences analyzed by the preference analysis unit. The product display unit displays products and prices in the shop displayed by the shop display unit. [Effects of the Invention]

[0007] The system according to the embodiment can enable a user to easily find a shop that suits him / her, as well as the products and prices in the shop. [Brief explanation of the drawings]

[0008] [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. DETAILED DESCRIPTION OF THE INVENTION

[0009] 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.

[0010] First, the terms used in the following description will be explained.

[0011] 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, the 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), an APU (Accelerated Processing Unit), or a TPU (Tensor Processing Unit).

[0012] 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.

[0013] 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.

[0014] 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), and Bluetooth (registered trademark).

[0015] 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."

[0016] [First embodiment] FIG. 1 shows an example of the configuration of a data processing system 10 according to the first embodiment.

[0017] 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.

[0018] The data processing device 12 includes a computer 22, a database 24, and a communication I / F 26. The computer 22 includes a processor 28, a RAM 30, and a storage 32. The processor 28, RAM 30, and 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).

[0019] 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.

[0020] The reception device 38 includes a touch panel 38A and a microphone 38B, and receives user input. The touch panel 38A detects contact with a pointer (for example, a pen or a finger) to receive user input by the touch of the pointer. 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 (see FIG. 2) acquires the data indicating the user input.

[0021] Output device 40 includes a display 40A and a speaker 40B, and presents data to a user by outputting the data in a form of expression that the user can perceive (e.g., audio and / or text). Display 40A displays visible information such as text and images in accordance with instructions from processor 46. Speaker 40B outputs audio in accordance with instructions from processor 46. 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.

[0022] 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.

[0023] FIG. 2 shows an example of the main functions of the data processing device 12 and the smart device 14.

[0024] 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.

[0025] 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. The identification processing unit 290 can estimate a user's emotion using the emotion identification model 59 and perform identification processing using the user's emotion. The emotion estimation function (emotion identification function) using the emotion identification model 59 performs various estimations and predictions regarding the user's emotion, including estimation and prediction of the user's emotion, but is not limited to these examples. Furthermore, the estimation and prediction of emotion also includes, for example, emotion analysis.

[0026] In the smart device 14, the specific processing is performed by the processor 46. The storage 50 stores a specific processing program 60. The specific processing program 60 is used together with the specific processing program 56 by the data processing system 10. The processor 46 reads the specific processing program 60 from the storage 50 and executes the read specific processing program 60 on the RAM 48. The specific processing is realized by the processor 46 operating as the control unit 46A in accordance with the specific processing program 60 executed on the RAM 48. Note that the smart device 14 has a data generation model and an emotion identification model similar to the data generation model 58 and the emotion identification model 59, and can also perform processing similar to that of the specific processing unit 290 using these models.

[0027] Note that a device other than the data processing device 12 may have the data generation model 58. For example, a server device (e.g., a generation server) may have the data generation model 58. In this case, the data processing device 12 obtains a processing result (prediction result, etc.) using the data generation model 58 by communicating with the server device having the data generation model 58. Furthermore, the data processing device 12 may be a server device, or may be a terminal device owned by a user (e.g., a mobile phone, a robot, a home appliance, etc.). Next, an example of processing by the data processing system 10 according to the first embodiment will be described.

[0028] (Example 1) A smart glasses system according to an embodiment of the present invention is a system that displays shops that suit a user as well as the products and prices sold at those shops while the user is walking around town. This allows the user to easily find a shop that suits them and to know in advance the products and prices sold at those shops.

[0029] A smart glasses system according to an embodiment includes a location information acquisition unit, a preference analysis unit, a shop display unit, and a product display unit. The location information acquisition unit acquires user location information. For example, the location information acquisition unit identifies the user's current location using GPS. The location information acquisition unit can also acquire indoor location information using Wi-Fi or Bluetooth beacons. The location information acquisition unit can also acquire location information using a smartphone sensor. The preference analysis unit analyzes the user's preferences based on the location information acquired by the location information acquisition unit. For example, the preference analysis unit analyzes the user's past behavioral data to identify the user's preferences. The preference analysis unit can also analyze preferences based on survey results entered by the user. The preference analysis unit can also analyze the user's social media data to identify preferences. The shop display unit displays shops based on the preferences analyzed by the preference analysis unit. For example, the shop display unit displays shops that match the user's preferences on the display of the smart glasses. The shop display unit can also display nearby shops based on the user's current location. The shop display unit can also display recommended shops based on the user's past visit history. The product display unit displays products and prices in the shop displayed by the shop display unit. For example, the product display unit obtains shop inventory information and displays products and prices that suit the user. The product display unit can also display products based on product category and price range. The product display unit can also display product reviews and ratings. This allows the smart glasses system according to the embodiment to easily find shops and products that suit the user. For example, while walking around town, the user can use the smart glasses to find a shop that suits the user and know in advance the products and prices sold at that shop. Furthermore, optimal shops and products are suggested based on the user's preferences and interests, improving shopping efficiency. Furthermore, inventory information is updated in real time, allowing the user to always obtain the latest information.

[0030] The preference analysis unit can identify a user's preferences based on the user's past purchase history and visit history. The preference analysis unit, for example, analyzes the user's past purchase history to identify the user's preferences. For example, the user's preferences are analyzed based on data on products the user has purchased in the past. The preference analysis unit also analyzes the user's visit history to identify the user's preferences. For example, the user's preferences are analyzed based on data on shops the user has visited in the past. The preference analysis unit also combines the user's purchase history and visit history to comprehensively analyze the user's preferences. For example, the user's preferences are identified based on data on products the user has purchased in the past and shops the user has visited. This makes it possible to suggest optimal shops and products based on the user's preferences.

[0031] The shop display unit can analyze the user's walking speed and direction and display shop information at the optimal timing. For example, the generation AI in the shop display unit analyzes the user's walking speed in real time and displays shop information when the user stops walking. For example, when the user stops at a traffic light, it displays information about nearby shops. The shop display unit also analyzes the user's walking direction and prioritizes displaying information about shops in the user's direction of travel. For example, when the user turns right, it displays information about shops on the right. The shop display unit also analyzes the user's walking speed and direction in combination and displays information about shops that the user is likely to be interested in at the optimal timing. For example, if the user is walking slowly, it displays detailed shop information. This allows the user to obtain shop information at the optimal timing while walking.

[0032] The shop display unit can analyze the user's past movement history and prioritize displaying shop information specialized in frequently visited areas. For example, the shop display unit uses a generation AI to analyze the user's past movement history and prioritize displaying shop information in frequently visited areas. For example, it displays shop information for shopping malls that the user frequently visits. The shop display unit also analyzes the user's movement patterns and displays shop information for areas visited during specific time periods. For example, it displays information about cafes on the user's route to work every morning. The shop display unit also prioritizes displaying shop information in areas that the user is likely to be interested in based on the user's past movement history. For example, it displays restaurant information in areas that the user often visits on weekends. This allows the user to obtain shop information in areas that they frequently visit preferentially.

[0033] The shop display unit adds an AR function to the smart glasses, allowing it to display the exterior and interior of a shop in real time. The shop display unit, for example, adds an AR function to the smart glasses and displays the exterior of a shop in real time. For example, the exterior of a shop at which a user is looking is displayed on the display of the smart glasses. The shop display unit also displays the interior of the shop using AR, allowing the user to check the atmosphere inside the shop in advance. For example, it displays the seating arrangement and interior of a cafe. The shop display unit also uses the AR function to display the exterior and interior of a shop in real time, providing information that is likely to interest the user. For example, it displays special corners and sale information in the shop. This allows the user to check the exterior and interior of the shop in real time.

[0034] The shop display unit can download shop information for different cities or countries in advance and provide similar services at the travel destination. For example, the shop display unit downloads shop information for the destination city or country in advance and displays it on the smart glasses. For example, the user can check shop information at tourist spots in the travel destination. The shop display unit also stores shop information for different cities or countries on the smart glasses and makes it available offline. For example, the shop information is displayed even in places without an internet connection. The shop display unit also downloads shop information for the destination in advance so that the user can enjoy shopping smoothly at the destination. For example, the shop information is installed on the smart glasses before the trip. This allows the user to use similar services at the travel destination.

[0035] The product display unit can analyze the user's purchasing history and prioritize displaying new products similar to products purchased in the past. For example, the product display unit uses a generation AI to analyze the user's purchasing history and prioritize displaying new products similar to products purchased in the past. For example, new products from a brand that the user has previously purchased are displayed. The product display unit also builds a system that prioritizes displaying similar products based on the user's purchasing history. For example, it displays products in the same category as products that the user has previously purchased. The product display unit also analyzes the purchasing history and prioritizes displaying new products that the user is likely to be interested in. For example, it displays new products with the same design as products that the user has previously purchased. This allows the user to preferentially obtain new products similar to products that they have previously purchased.

[0036] The product display unit can analyze product placement information within a shop and provide navigation so that users can find products efficiently. For example, the product display unit uses a generation AI to analyze product placement information within a shop and provide navigation so that users can find products efficiently. For example, the location of the product the user is looking for is displayed on smart glasses. The product display unit also builds a system that guides users to find products efficiently based on product placement information within a shop. For example, if a user is looking for a specific product, the system displays the location of that product. The product display unit also analyzes product placement information and provides navigation so that users can find products efficiently. For example, when a user is walking within a shop, the system displays a route to the desired product. This allows users to find products efficiently.

[0037] The product display unit can display product reviews and ratings in real time in addition to product information in a shop. The product display unit, for example, builds a system that displays product reviews and ratings in real time in addition to product information in a shop. For example, when a user looks at a product, the product reviews and ratings are displayed on the smart glasses. The product display unit also displays product reviews and ratings in real time so that the user can refer to them before purchasing. For example, when a user picks up a product, the product display unit displays the rating of the product. The product display unit also displays reviews and ratings along with product information in a shop, allowing the user to select a better product. For example, when a user selects a product, the user refers to the ratings of other users. This allows the user to check product reviews and ratings in real time.

[0038] The product display unit can display information about the manufacturing process and materials of a product when a user approaches a specific product. For example, when a user approaches a specific product, the product display unit displays information about the manufacturing process and materials of the product on the smart glasses. For example, when a user picks up clothing, the product display unit displays the materials and manufacturing process. The product display unit also displays information about the manufacturing process and materials of the product, allowing the user to obtain detailed information before purchasing. For example, when a user selects food, the product display unit displays the manufacturing process and raw materials. The product display unit also constructs a system that displays information about the manufacturing process and materials of a product in real time when a user approaches the product. For example, when a user selects furniture, the product display unit displays the materials and manufacturing process. This allows the user to check information about the manufacturing process and materials of the product.

[0039] The system according to the embodiment is not limited to the above-described example, and various modifications are possible, for example, as follows.

[0040] The smart glasses system may further include a voice recognition unit. The voice recognition unit analyzes a user's voice commands and displays information about specific shops and products. For example, if a user says, "Tell me about nearby cafes," the voice recognition unit analyzes the command and displays information about nearby cafes. Furthermore, if a user is searching for a specific product, the voice recognition unit displays information about the product. For example, if a user says, "I'm looking for a new smartphone," the voice recognition unit analyzes the command and displays information about the smartphone. Furthermore, if a user specifies specific conditions, the voice recognition unit displays information about shops and products that match the conditions. For example, if a user says, "Tell me about cheap restaurants," the voice recognition unit analyzes the command and displays information about cheap restaurants. This allows a user to easily obtain information about shops and products using voice commands.

[0041] The smart glasses system may further include a weather information acquisition unit. The weather information acquisition unit acquires current weather information and displays information about shops and products suitable for the user. For example, the weather information acquisition unit may display information about shops selling umbrellas and raincoats on rainy days. The weather information acquisition unit may also display information about cafes that serve cold drinks on hot days. The weather information acquisition unit may also display information about shops that sell warm clothing on cold days. This allows the user to obtain information about shops and products appropriate for the weather.

[0042] The smart glasses system may further include a health information acquisition unit. The health information acquisition unit analyzes the user's health condition and displays information on suitable shops and products. For example, the health information acquisition unit may analyze the user's heart rate and number of steps, and display information on fitness-related products and shops for users who are not getting enough exercise. The health information acquisition unit may also analyze the user's diet history and display information on restaurants that serve healthy meals. The health information acquisition unit may also analyze the user's sleep data and display information on products and shops that will help the user relax. This allows the user to obtain information on shops and products that suit their health condition.

[0043] The smart glasses system may further include an event information acquisition unit. The event information acquisition unit acquires information about currently held events and displays information about events and shops that are suitable for the user. For example, the event information acquisition unit may display information about nearby flea markets. The event information acquisition unit may also display information about music festivals and art exhibitions based on the user's interests. The event information acquisition unit may also display information about nearby events based on the user's current location. This allows the user to obtain information about currently held events.

[0044] The smart glass system may further include a traffic information acquisition unit. The traffic information acquisition unit acquires current traffic conditions and displays information on routes and shops that are suitable for the user. For example, the traffic information acquisition unit may display a route that avoids congested roads. The traffic information acquisition unit may also display information on delays in public transportation, allowing the user to select the most suitable means of transportation. The traffic information acquisition unit may also display information on nearby parking lots based on the user's current location. This allows the user to obtain information on the most suitable routes and shops based on traffic conditions.

[0045] The processing flow of the first embodiment will be briefly explained below.

[0046] Step 1: The location information acquisition unit acquires the user's location information. For example, the location information acquisition unit identifies the user's current location using GPS. Alternatively, the location information acquisition unit can acquire indoor location information using Wi-Fi or Bluetooth beacons. Furthermore, the location information can also be acquired using a smartphone sensor. Step 2: The preference analysis unit analyzes the user's preferences based on the location information acquired by the location information acquisition unit. For example, the preference analysis unit analyzes the user's past behavioral data to identify the user's preferences. Preferences can also be analyzed based on survey results entered by the user or social media data. Step 3: The shop display unit displays shops based on the preferences analyzed by the preference analysis unit. For example, the shop display unit displays shops that match the user's preferences on the smart glasses display. It can also display nearby shops based on the user's current location or recommended shops based on the user's past visit history. Step 4: The product display unit displays the products and prices in the shop displayed by the shop display unit. For example, the product display unit obtains the shop's inventory information and displays products that suit the user and their prices. It can also display products based on product category and price range. It can also display product reviews and ratings.

[0047] (Example 2) A smart glasses system according to an embodiment of the present invention is a system that displays shops that suit a user as well as the products and prices sold at those shops while the user is walking around town. This allows the user to easily find a shop that suits them and to know in advance the products and prices sold at those shops.

[0048] A smart glasses system according to an embodiment includes a location information acquisition unit, a preference analysis unit, a shop display unit, and a product display unit. The location information acquisition unit acquires user location information. For example, the location information acquisition unit identifies the user's current location using GPS. The location information acquisition unit can also acquire indoor location information using Wi-Fi or Bluetooth beacons. The location information acquisition unit can also acquire location information using a smartphone sensor. The preference analysis unit analyzes the user's preferences based on the location information acquired by the location information acquisition unit. For example, the preference analysis unit analyzes the user's past behavioral data to identify the user's preferences. The preference analysis unit can also analyze preferences based on survey results entered by the user. The preference analysis unit can also analyze the user's social media data to identify preferences. The shop display unit displays shops based on the preferences analyzed by the preference analysis unit. For example, the shop display unit displays shops that match the user's preferences on the display of the smart glasses. The shop display unit can also display nearby shops based on the user's current location. The shop display unit can also display recommended shops based on the user's past visit history. The product display unit displays products and prices in the shop displayed by the shop display unit. For example, the product display unit obtains shop inventory information and displays products and prices that suit the user. The product display unit can also display products based on product category and price range. The product display unit can also display product reviews and ratings. This allows the smart glasses system according to the embodiment to easily find shops and products that suit the user. For example, while walking around town, the user can use the smart glasses to find a shop that suits the user and know in advance the products and prices sold at that shop. Furthermore, optimal shops and products are suggested based on the user's preferences and interests, improving shopping efficiency. Furthermore, inventory information is updated in real time, allowing the user to always obtain the latest information.

[0049] The preference analysis unit can identify a user's preferences based on the user's past purchase history and visit history. The preference analysis unit, for example, analyzes the user's past purchase history to identify the user's preferences. For example, the user's preferences are analyzed based on data on products the user has purchased in the past. The preference analysis unit also analyzes the user's visit history to identify the user's preferences. For example, the user's preferences are analyzed based on data on shops the user has visited in the past. The preference analysis unit also combines the user's purchase history and visit history to comprehensively analyze the user's preferences. For example, the user's preferences are identified based on data on products the user has purchased in the past and shops the user has visited. This makes it possible to suggest optimal shops and products based on the user's preferences.

[0050] The shop display unit can analyze the user's walking speed and direction and display shop information at the optimal timing. For example, the generation AI in the shop display unit analyzes the user's walking speed in real time and displays shop information when the user stops walking. For example, when the user stops at a traffic light, it displays information about nearby shops. The shop display unit also analyzes the user's walking direction and prioritizes displaying information about shops in the user's direction of travel. For example, when the user turns right, it displays information about shops on the right. The shop display unit also analyzes the user's walking speed and direction in combination and displays information about shops that the user is likely to be interested in at the optimal timing. For example, if the user is walking slowly, it displays detailed shop information. This allows the user to obtain shop information at the optimal timing while walking.

[0051] The shop display unit can analyze the user's past movement history and prioritize displaying shop information specialized in frequently visited areas. For example, the shop display unit uses a generation AI to analyze the user's past movement history and prioritize displaying shop information in frequently visited areas. For example, it displays shop information for shopping malls that the user frequently visits. The shop display unit also analyzes the user's movement patterns and displays shop information for areas visited during specific time periods. For example, it displays information about cafes on the user's route to work every morning. The shop display unit also prioritizes displaying shop information in areas that the user is likely to be interested in based on the user's past movement history. For example, it displays restaurant information in areas that the user often visits on weekends. This allows the user to obtain shop information in areas that they frequently visit preferentially.

[0052] The shop display unit can use the emotion estimation function to analyze the user's emotions toward shops that they have shown interest in, and prioritize displaying shops that evoke positive emotions. For example, the shop display unit uses a generation AI to analyze the user's facial expressions and voice and estimate the user's emotions toward shops that they have shown interest in. For example, it prioritizes displaying shop information where the user has smiled. The shop display unit also uses the emotion estimation function to prioritize displaying shop information about which the user has positive emotions. For example, it displays shop information that the user has given high ratings to in the past. The shop display unit also displays shop information that evokes positive emotions based on the user's emotion data. For example, it prioritizes displaying information about cafes where the user can relax. This allows the user to obtain shop information about which they have positive emotions on a priority basis.

[0053] The shop display unit adds an AR function to the smart glasses, allowing it to display the exterior and interior of a shop in real time. The shop display unit, for example, adds an AR function to the smart glasses and displays the exterior of a shop in real time. For example, the exterior of a shop at which a user is looking is displayed on the display of the smart glasses. The shop display unit also displays the interior of the shop using AR, allowing the user to check the atmosphere inside the shop in advance. For example, it displays the seating arrangement and interior of a cafe. The shop display unit also uses the AR function to display the exterior and interior of a shop in real time, providing information that is likely to interest the user. For example, it displays special corners and sale information in the shop. This allows the user to check the exterior and interior of the shop in real time.

[0054] The shop display unit can download shop information for different cities or countries in advance and provide similar services at the travel destination. For example, the shop display unit downloads shop information for the destination city or country in advance and displays it on the smart glasses. For example, the user can check shop information at tourist spots in the travel destination. The shop display unit also stores shop information for different cities or countries on the smart glasses and makes it available offline. For example, the shop information is displayed even in places without an internet connection. The shop display unit also downloads shop information for the destination in advance so that the user can enjoy shopping smoothly at the destination. For example, the shop information is installed on the smart glasses before the trip. This allows the user to use similar services at the travel destination.

[0055] The shop display unit uses the emotion estimation function to analyze the stress and fatigue the user feels while walking and can suggest shops and cafes where the user can relax. The shop display unit, for example, uses the emotion estimation function to analyze the stress and fatigue the user feels while walking. For example, it estimates the stress level based on the user's facial expression and walking speed. The shop display unit also analyzes the user's stress and fatigue and suggests shops and cafes where the user can relax. For example, if the user is tired, it displays information about nearby cafes. The shop display unit also preferentially displays shops and cafes where the user can relax based on the emotion estimation data. For example, it displays information about cafes that play music that the user can relax in. This makes it possible to suggest shops and cafes where the user can relax.

[0056] The product display unit can analyze the user's purchasing history and prioritize displaying new products similar to products purchased in the past. For example, the product display unit uses a generation AI to analyze the user's purchasing history and prioritize displaying new products similar to products purchased in the past. For example, new products from a brand that the user has previously purchased are displayed. The product display unit also builds a system that prioritizes displaying similar products based on the user's purchasing history. For example, it displays products in the same category as products that the user has previously purchased. The product display unit also analyzes the purchasing history and prioritizes displaying new products that the user is likely to be interested in. For example, it displays new products with the same design as products that the user has previously purchased. This allows the user to preferentially obtain new products similar to products that they have previously purchased.

[0057] The product display unit can analyze product placement information within a shop and provide navigation so that users can find products efficiently. For example, the product display unit uses a generation AI to analyze product placement information within a shop and provide navigation so that users can find products efficiently. For example, the location of the product the user is looking for is displayed on smart glasses. The product display unit also builds a system that guides users to find products efficiently based on product placement information within a shop. For example, if a user is looking for a specific product, the system displays the location of that product. The product display unit also analyzes product placement information and provides navigation so that users can find products efficiently. For example, when a user is walking within a shop, the system displays a route to the desired product. This allows users to find products efficiently.

[0058] The product display unit can use the emotion estimation function to analyze the emotional value of products in which the user has shown interest and preferentially display products that elicit positive emotions. For example, the product display unit uses a generation AI to analyze the user's facial expressions and voice and estimate the emotional value of products in which the user has shown interest. For example, it preferentially displays information about products that make the user smile. The product display unit also uses the emotion estimation function to preferentially display information about products for which the user has positive emotions. For example, it displays information about products that the user has given high ratings to in the past. The product display unit also displays information about products that elicit positive emotions based on the user's emotion data. For example, it preferentially displays information about products with scents that the user finds relaxing. This allows the user to preferentially obtain information about products for which they have positive emotions.

[0059] The product display unit can display product reviews and ratings in real time in addition to product information in a shop. The product display unit, for example, builds a system that displays product reviews and ratings in real time in addition to product information in a shop. For example, when a user looks at a product, the product reviews and ratings are displayed on the smart glasses. The product display unit also displays product reviews and ratings in real time so that the user can refer to them before purchasing. For example, when a user picks up a product, the product display unit displays the rating of the product. The product display unit also displays reviews and ratings along with product information in a shop, allowing the user to select a better product. For example, when a user selects a product, the user refers to the ratings of other users. This allows the user to check product reviews and ratings in real time.

[0060] The product display unit can display information about the manufacturing process and materials of a product when a user approaches a specific product. For example, when a user approaches a specific product, the product display unit displays information about the manufacturing process and materials of the product on the smart glasses. For example, when a user picks up clothing, the product display unit displays the materials and manufacturing process. The product display unit also displays information about the manufacturing process and materials of the product, allowing the user to obtain detailed information before purchasing. For example, when a user selects food, the product display unit displays the manufacturing process and raw materials. The product display unit also constructs a system that displays information about the manufacturing process and materials of a product in real time when a user approaches the product. For example, when a user selects furniture, the product display unit displays the materials and manufacturing process. This allows the user to check information about the manufacturing process and materials of the product.

[0061] The product display unit can use the emotion estimation function to analyze the emotion a user has when picking up a product and suggest products that elicit positive emotions. The product display unit, for example, uses the emotion estimation function to analyze the emotion a user has when picking up a product. For example, it estimates the emotion based on the user's facial expression and voice. The product display unit also suggests products that elicit positive emotions based on the user's emotion data. For example, it suggests products with a scent that the user can use to relax. The product display unit also uses the emotion estimation function to analyze the emotion a user has when picking up a product in real time and suggest optimal products. For example, it preferentially displays information about products that the user is interested in. This allows products that the user feels positive about to be suggested.

[0062] The system according to the embodiment is not limited to the above-described example, and various modifications are possible, for example, as follows.

[0063] The smart glasses system may further include a voice recognition unit. The voice recognition unit analyzes a user's voice commands and displays information about specific shops and products. For example, if a user says, "Tell me about nearby cafes," the voice recognition unit analyzes the command and displays information about nearby cafes. Furthermore, if a user is searching for a specific product, the voice recognition unit displays information about the product. For example, if a user says, "I'm looking for a new smartphone," the voice recognition unit analyzes the command and displays information about the smartphone. Furthermore, if a user specifies specific conditions, the voice recognition unit displays information about shops and products that match the conditions. For example, if a user says, "Tell me about cheap restaurants," the voice recognition unit analyzes the command and displays information about cheap restaurants. This allows a user to easily obtain information about shops and products using voice commands.

[0064] The smart glasses system may further include a weather information acquisition unit. The weather information acquisition unit acquires current weather information and displays information about shops and products suitable for the user. For example, the weather information acquisition unit may display information about shops selling umbrellas and raincoats on rainy days. The weather information acquisition unit may also display information about cafes that serve cold drinks on hot days. The weather information acquisition unit may also display information about shops that sell warm clothing on cold days. This allows the user to obtain information about shops and products appropriate for the weather.

[0065] The smart glasses system may further include a health information acquisition unit. The health information acquisition unit analyzes the user's health condition and displays information on suitable shops and products. For example, the health information acquisition unit may analyze the user's heart rate and number of steps, and display information on fitness-related products and shops for users who are not getting enough exercise. The health information acquisition unit may also analyze the user's diet history and display information on restaurants that serve healthy meals. The health information acquisition unit may also analyze the user's sleep data and display information on products and shops that will help the user relax. This allows the user to obtain information on shops and products that suit their health condition.

[0066] The smart glasses system may further include an event information acquisition unit. The event information acquisition unit acquires information about currently held events and displays information about events and shops that are suitable for the user. For example, the event information acquisition unit may display information about nearby flea markets. The event information acquisition unit may also display information about music festivals and art exhibitions based on the user's interests. The event information acquisition unit may also display information about nearby events based on the user's current location. This allows the user to obtain information about currently held events.

[0067] The smart glass system may further include a traffic information acquisition unit. The traffic information acquisition unit acquires current traffic conditions and displays information on routes and shops that are suitable for the user. For example, the traffic information acquisition unit may display a route that avoids congested roads. The traffic information acquisition unit may also display information on delays in public transportation, allowing the user to select the most suitable means of transportation. The traffic information acquisition unit may also display information on nearby parking lots based on the user's current location. This allows the user to obtain information on the most suitable routes and shops based on traffic conditions.

[0068] The smart glasses system can also estimate the user's emotions and provide music that helps the user relax based on the estimated emotions. For example, if the user is feeling stressed, relaxing music can be played. If the user is tired, uplifting music can be played. If the user wants to concentrate, music that helps improve concentration can be played. This allows the user to enjoy music that suits their emotions.

[0069] The smart glasses system can further estimate the user's emotions and provide information on movies and dramas that the user may be interested in based on the estimated emotions. For example, if the user wants to relax, information on relaxing movies can be displayed. If the user wants to cheer up, information on uplifting dramas can be displayed. If the user wants to be moved, information on moving movies can be displayed. In this way, the user can obtain information on movies and dramas that match their emotions.

[0070] The smart glasses system can also estimate the user's emotions and provide information on aromas and scents that will help the user relax based on the estimated emotions. For example, if the user is feeling stressed, information on relaxing aromas can be displayed. If the user is tired, information on invigorating aromas can be displayed. If the user wants to concentrate, information on aromas that will help improve concentration can be displayed. This allows the user to obtain information on aromas and scents that match their emotions.

[0071] The smart glasses system can also estimate the user's emotions and provide information on spots and parks where the user can relax based on the estimated emotions. For example, if the user is feeling stressed, information on parks where the user can relax can be displayed. If the user is tired, information on spots that will cheer them up can be displayed. If the user wants to concentrate, information on quiet places can be displayed. In this way, the user can obtain information on spots and parks where the user can relax according to their emotions.

[0072] The smart glasses system can also estimate the user's emotions and provide information on exercises and yoga that will help the user relax based on the estimated emotions. For example, if the user is feeling stressed, information on yoga that will help them relax can be displayed. If the user is tired, information on exercises that will invigorate them can be displayed. If the user wants to concentrate, information on exercises that will improve concentration can be displayed. In this way, the user can obtain information on exercises and yoga that suit their emotions.

[0073] The processing flow of the second embodiment will be briefly explained below.

[0074] Step 1: The location information acquisition unit acquires the user's location information. For example, the location information acquisition unit identifies the user's current location using GPS. Alternatively, the location information acquisition unit can acquire indoor location information using Wi-Fi or Bluetooth beacons. Furthermore, the location information can also be acquired using a smartphone sensor. Step 2: The preference analysis unit analyzes the user's preferences based on the location information acquired by the location information acquisition unit. For example, the preference analysis unit analyzes the user's past behavioral data to identify the user's preferences. Preferences can also be analyzed based on survey results entered by the user or social media data. Step 3: The shop display unit displays shops based on the preferences analyzed by the preference analysis unit. For example, the shop display unit displays shops that match the user's preferences on the smart glasses display. It can also display nearby shops based on the user's current location or recommended shops based on the user's past visit history. Step 4: The product display unit displays the products and prices in the shop displayed by the shop display unit. For example, the product display unit obtains the shop's inventory information and displays products that suit the user and their prices. It can also display products based on product category and price range. It can also display product reviews and ratings.

[0075] 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.

[0076] 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> Examples of generative AIs include the data generation model 58, such as a neural network model (e.g., a neural network model), and a neural network model (e.g., a neural network model). 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 speech, text data indicating text, and image data indicating an image is also input to the data generation model 58. 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. The specification processing unit 290 performs the above-mentioned specification processing using the data generation model 58. The data generation model 58 may be a fine-tuned model so as to output an inference result from a prompt that does not include an instruction. In this case, the data generation model 58 can output an inference result from a prompt that does not include an instruction. The data processing device 12 and the like include multiple types of data generation models 58, and the data generation model 58 includes AIs other than the generative AI. The AI ​​other than the generative AI may be, for example, linear regression, logistic regression, decision tree, random forest, support vector machine (SVM), k-means clustering, convolutional neural network (CNN), recurrent neural network (RNN), generative adversarial network (GAN), or naive Bayes, and can perform various processes, but is not limited to these examples. The AI ​​may also be an AI agent. When the processes of each of the above-mentioned parts are performed by AI, the processes may be performed in part or entirely by AI, but are not limited to these examples. The processes performed by AI, including the generative AI, may be replaced with rule-based processes.

[0077] Furthermore, the processing by the data processing system 10 described above is executed by the specific processing unit 290 of the data processing device 12 or the control unit 46A of the smart device 14, but may also be executed by the specific processing unit 290 of the data processing device 12 and the control unit 46A of the smart device 14. Furthermore, the specific processing unit 290 of the data processing device 12 acquires or collects information necessary for processing from the smart device 14 or an external device, and the smart device 14 acquires or collects information necessary for processing from the data processing device 12 or an external device.

[0078] [Second embodiment] FIG. 3 shows an example of the configuration of a data processing system 210 according to the second embodiment.

[0079] 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.

[0080] The data processing device 12 includes a computer 22, a database 24, and a communication I / F 26. The computer 22 includes a processor 28, a RAM 30, and a storage 32. The processor 28, RAM 30, and 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 and / or a LAN.

[0081] 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.

[0082] The microphone 238 receives instructions and the like from the user by receiving voice uttered by the user. The microphone 238 captures the voice uttered by the user, converts the captured voice into audio data, and outputs it to the processor 46. The speaker 240 outputs audio according to instructions from the processor 46.

[0083] 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 user's surroundings (for example, an imaging range defined by an angle of view equivalent to the field of vision of a typical healthy person).

[0084] The communication I / F 44 is connected to a network 54. The communication I / Fs 44 and 26 are responsible for the exchange of various information between the processor 46 and the processor 28 via the network 54. The exchange of various information between the processor 46 and the processor 28 using the communication I / Fs 44 and 26 is carried out in a secure state.

[0085] 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.

[0086] 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.

[0087] 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. The identification processing unit 290 can estimate a user's emotion using the emotion identification model 59 and perform identification processing using the user's emotion. The emotion estimation function (emotion identification function) using the emotion identification model 59 performs various estimations and predictions regarding the user's emotion, including estimation and prediction of the user's emotion, but is not limited to these examples. Furthermore, the estimation and prediction of emotion also includes, for example, emotion analysis.

[0088] In the smart glasses 214, the specific processing is performed by the processor 46. A specific processing program 60 is stored in the storage 50. The processor 46 reads the specific processing program 60 from the storage 50 and executes the read specific processing program 60 on the RAM 48. The specific processing is realized by the processor 46 operating as the control unit 46A in accordance with the specific processing program 60 executed on the RAM 48. The smart glasses 214 also have a data generation model and an emotion identification model similar to the data generation model 58 and the emotion identification model 59, and can perform processing similar to that of the specific processing unit 290 using these models.

[0089] Note that a device other than the data processing device 12 may have the data generation model 58. For example, a server device may have the data generation model 58. In this case, the data processing device 12 communicates with the server device having the data generation model 58 to obtain a processing result (such as a prediction result) using the data generation model 58. Furthermore, the data processing device 12 may be a server device, or may be a terminal device (for example, a mobile phone, a robot, a home appliance, etc.) owned by a user.

[0090] 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.

[0091] The data generation model 58 is a so-called generative AI. An example of the data generation model 58 is a generative AI such as ChatGPT. The data generation model 58 is obtained by performing deep learning on a neural network. The data generation model 58 receives a prompt containing an instruction, as well as inference data such as voice data representing speech, text data representing text, and image data representing an image. 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. The identification processing unit 290 performs the above-mentioned identification processing using the data generation model 58. The data generation model 58 may be a fine-tuned model so as to output an inference result from a prompt that does not include an instruction. In this case, the data generation model 58 can output an inference result from a prompt that does not include an instruction. The data processing device 12 and the like include multiple types of data generation models 58, and the data generation model 58 includes AIs other than the generative AI. The AI ​​other than the generative AI may be, for example, linear regression, logistic regression, decision tree, random forest, support vector machine (SVM), k-means clustering, convolutional neural network (CNN), recurrent neural network (RNN), generative adversarial network (GAN), or naive Bayes, and can perform various processes, but is not limited to these examples. The AI ​​may also be an AI agent. When the processes of each of the above-mentioned parts are performed by AI, the processes may be performed in part or entirely by AI, but are not limited to these examples. The processes performed by AI, including the generative AI, may be replaced with rule-based processes.

[0092] The data processing system 210 according to the second embodiment performs the same processing as the data processing system 10 according to the first embodiment. The processing by the data processing system 210 is executed by the specific processing unit 290 of the data processing device 12 or the control unit 46A of the smart glasses 214, but may also be executed by the specific processing unit 290 of the data processing device 12 and the control unit 46A of the smart glasses 214. Furthermore, the specific processing unit 290 of the data processing device 12 acquires or collects information required for processing from the smart glasses 214 or an external device, etc., and the smart glasses 214 acquires or collects information required for processing from the data processing device 12 or an external device, etc.

[0093] [Third embodiment] FIG. 5 shows an example of the configuration of a data processing system 310 according to the third embodiment.

[0094] 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.

[0095] The data processing device 12 includes a computer 22, a database 24, and a communication I / F 26. The computer 22 includes a processor 28, a RAM 30, and a storage 32. The processor 28, RAM 30, and 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 and / or a LAN.

[0096] 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.

[0097] The microphone 238 receives instructions and the like from the user by receiving voice uttered by the user. The microphone 238 captures the voice uttered by the user, converts the captured voice into audio data, and outputs it to the processor 46. The speaker 240 outputs audio according to instructions from the processor 46.

[0098] 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 user's surroundings (for example, an imaging range defined by an angle of view equivalent to the field of vision of a typical healthy person).

[0099] The communication I / F 44 is connected to a network 54. The communication I / Fs 44 and 26 are responsible for the exchange of various information between the processor 46 and the processor 28 via the network 54. The exchange of various information between the processor 46 and the processor 28 using the communication I / Fs 44 and 26 is carried out in a secure state.

[0100] 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.

[0101] 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.

[0102] 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. The identification processing unit 290 can estimate a user's emotion using the emotion identification model 59 and perform identification processing using the user's emotion. The emotion estimation function (emotion identification function) using the emotion identification model 59 performs various estimations and predictions regarding the user's emotion, including estimation and prediction of the user's emotion, but is not limited to these examples. Furthermore, the estimation and prediction of emotion also includes, for example, emotion analysis.

[0103] In the headset type terminal 314, the specific processing is performed by the processor 46. A specific processing program 60 is stored in the storage 50. The processor 46 reads the specific processing program 60 from the storage 50 and executes the read specific processing program 60 on the RAM 48. The specific processing is realized by the processor 46 operating as the control unit 46A in accordance with the specific processing program 60 executed on the RAM 48. Note that the headset type terminal 314 has a data generation model and an emotion identification model similar to the data generation model 58 and the emotion identification model 59, and can also perform processing similar to that of the specific processing unit 290 using these models.

[0104] Note that a device other than the data processing device 12 may have the data generation model 58. For example, a server device may have the data generation model 58. In this case, the data processing device 12 communicates with the server device having the data generation model 58 to obtain a processing result (such as a prediction result) using the data generation model 58. Furthermore, the data processing device 12 may be a server device, or may be a terminal device (for example, a mobile phone, a robot, a home appliance, etc.) owned by a user.

[0105] 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.

[0106] The data generation model 58 is a so-called generative AI. An example of the data generation model 58 is a generative AI such as ChatGPT. The data generation model 58 is obtained by performing deep learning on a neural network. The data generation model 58 receives a prompt containing an instruction, as well as inference data such as voice data representing speech, text data representing text, and image data representing an image. 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. The identification processing unit 290 performs the above-mentioned identification processing using the data generation model 58. The data generation model 58 may be a fine-tuned model so as to output an inference result from a prompt that does not include an instruction. In this case, the data generation model 58 can output an inference result from a prompt that does not include an instruction. The data processing device 12 and the like include multiple types of data generation models 58, and the data generation model 58 includes AIs other than the generative AI. The AI ​​other than the generative AI may be, for example, linear regression, logistic regression, decision tree, random forest, support vector machine (SVM), k-means clustering, convolutional neural network (CNN), recurrent neural network (RNN), generative adversarial network (GAN), or naive Bayes, and can perform various processes, but is not limited to these examples. The AI ​​may also be an AI agent. When the processes of each of the above-mentioned parts are performed by AI, the processes may be performed in part or entirely by AI, but are not limited to these examples. The processes performed by AI, including the generative AI, may be replaced with rule-based processes.

[0107] The data processing system 310 according to the third embodiment performs the same processing as the data processing system 10 according to the first embodiment. The processing by the data processing system 310 is executed by the specific processing unit 290 of the data processing device 12 or the control unit 46A of the headset type terminal 314, but may also be executed by the specific processing unit 290 of the data processing device 12 and the control unit 46A of the headset type terminal 314. Furthermore, the specific processing unit 290 of the data processing device 12 acquires or collects information required for processing from the headset type terminal 314 or an external device, etc., and the headset type terminal 314 acquires or collects information required for processing from the data processing device 12 or an external device, etc.

[0108] [Fourth embodiment] FIG. 7 shows an example of the configuration of a data processing system 410 according to the fourth embodiment.

[0109] 7, the data processing system 410 includes a data processing device 12 and a robot 414. An example of the data processing device 12 is a server.

[0110] The data processing device 12 includes a computer 22, a database 24, and a communication I / F 26. The computer 22 includes a processor 28, a RAM 30, and a storage 32. The processor 28, RAM 30, and 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 and / or a LAN.

[0111] 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.

[0112] The microphone 238 receives instructions and the like from the user by receiving voice uttered by the user. The microphone 238 captures the voice uttered by the user, converts the captured voice into audio data, and outputs it to the processor 46. The speaker 240 outputs audio according to instructions from the processor 46.

[0113] 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 image sensor or a CCD image sensor, and captures images of the user's surroundings (for example, an imaging range defined by an angle of view equivalent to the field of vision of a typical healthy person).

[0114] The communication I / F 44 is connected to a network 54. The communication I / Fs 44 and 26 are responsible for the exchange of various information between the processor 46 and the processor 28 via the network 54. The exchange of various information between the processor 46 and the processor 28 using the communication I / Fs 44 and 26 is carried out in a secure state.

[0115] The control object 443 includes a display device, LEDs in the eyes, and motors that drive the arms, hands, and feet. The posture and gestures of the robot 414 are controlled by controlling the motors of the arms, hands, and feet. Some of the 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.

[0116] 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.

[0117] 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.

[0118] 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. The identification processing unit 290 can estimate a user's emotion using the emotion identification model 59 and perform identification processing using the user's emotion. The emotion estimation function (emotion identification function) using the emotion identification model 59 performs various estimations and predictions regarding the user's emotion, including estimation and prediction of the user's emotion, but is not limited to these examples. Furthermore, the estimation and prediction of emotion also includes, for example, emotion analysis.

[0119] In the robot 414, the specific processing is performed by the processor 46. A specific processing program 60 is stored in the storage 50. The processor 46 reads the specific processing program 60 from the storage 50 and executes the read specific processing program 60 on the RAM 48. The specific processing is realized by the processor 46 operating as the control unit 46A in accordance with the specific processing program 60 executed on the RAM 48. The robot 414 has a data generation model and an emotion identification model similar to the data generation model 58 and the emotion identification model 59, and can also perform processing similar to that of the specific processing unit 290 using these models.

[0120] Note that a device other than the data processing device 12 may have the data generation model 58. For example, a server device may have the data generation model 58. In this case, the data processing device 12 communicates with the server device having the data generation model 58 to obtain a processing result (such as a prediction result) using the data generation model 58. Furthermore, the data processing device 12 may be a server device, or may be a terminal device (for example, a mobile phone, a robot, a home appliance, etc.) owned by a user.

[0121] 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.

[0122] The data generation model 58 is a so-called generative AI. An example of the data generation model 58 is a generative AI such as ChatGPT. The data generation model 58 is obtained by performing deep learning on a neural network. The data generation model 58 receives a prompt containing an instruction, as well as inference data such as voice data representing speech, text data representing text, and image data representing an image. 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. The identification processing unit 290 performs the above-mentioned identification processing using the data generation model 58. The data generation model 58 may be a fine-tuned model so as to output an inference result from a prompt that does not include an instruction. In this case, the data generation model 58 can output an inference result from a prompt that does not include an instruction. The data processing device 12 and the like include multiple types of data generation models 58, and the data generation model 58 includes AIs other than the generative AI. The AI ​​other than the generative AI may be, for example, linear regression, logistic regression, decision tree, random forest, support vector machine (SVM), k-means clustering, convolutional neural network (CNN), recurrent neural network (RNN), generative adversarial network (GAN), or naive Bayes, and can perform various processes, but is not limited to these examples. The AI ​​may also be an AI agent. When the processes of each of the above-mentioned parts are performed by AI, the processes may be performed in part or entirely by AI, but are not limited to these examples. The processes performed by AI, including the generative AI, may be replaced with rule-based processes.

[0123] The data processing system 410 according to the fourth embodiment performs the same processing as the data processing system 10 according to the first embodiment. The processing by the data processing system 410 is executed by the specific processing unit 290 of the data processing device 12 or the control unit 46A of the robot 414, but may also be executed by the specific processing unit 290 of the data processing device 12 and the control unit 46A of the robot 414. Furthermore, the specific processing unit 290 of the data processing device 12 acquires or collects information required for processing from the robot 414 or an external device, etc., and the robot 414 acquires or collects information required for processing from the data processing device 12 or an external device, etc.

[0124] 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.

[0125] FIG. 9 illustrates an emotion map 400 on which multiple emotions are mapped. In the emotion map 400, emotions are arranged in concentric circles radiating from the center. Emotions closer to the center of the concentric circles are more primitive. Emotions representing states and behaviors arising from a state of mind are arranged on the outer edges of the concentric circles. The concept of emotion encompasses both emotions 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.

[0126] 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.

[0127] 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).

[0128] 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 expressed, and when they approach the ideal, a state of pleasure is expressed. Emotions can also be created for robots, cars, 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 expressed, and when they approach the ideal, a state of pleasure is expressed. An emotion map can be generated, for example, based on Dr. Mitsuyoshi's emotion map (Research on speech emotion recognition and brain physiological signal analysis systems for emotions, Tokushima University, doctoral dissertation: https: / / ci.nii.ac.jp / naid / 500000375379). The left half of the emotion map lists emotions belonging to the area called "reaction," where sensation is dominant. The right half of the emotion map lists emotions belonging to the area called "situation," where situational awareness is dominant.

[0129] 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."

[0130] 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.

[0131] In the above embodiment, an example was given in which a specific process is performed by one computer 22, but the technology disclosed herein is not limited to this, and distributed processing of the specific process may be performed by multiple computers including computer 22.

[0132] 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.

[0133] 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.

[0134] 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.

[0135] The hardware resource for executing a specific process can be any of the following types of processors: A processor, for example, 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. A processor also includes 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.

[0136] The hardware resource that executes the specific process 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 process may be a single processor.

[0137] 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.

[0138] 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.

[0139] In the above example, the first to fourth embodiments have been described separately, but some or all of these embodiments may be combined. The smart device 14, smart glasses 214, headset terminal 314, and robot 414 are merely examples, and they may be combined, or other devices may be used. In the above example, the first and second embodiments have been described separately, but they may be combined.

[0140] 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.

[0141] 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. [Explanation of symbols]

[0142] 10, 210, 310, 410 Data Processing Systems 12 Data Processing Device 14 Smart Devices 214 Smart Glasses 314 Headset-type terminal 414 Robot

Claims

1. a location information acquisition unit that acquires location information of a user; a preference analysis unit that analyzes user preferences based on the location information acquired by the location information acquisition unit; a shop display unit that displays shops based on the preferences analyzed by the preference analysis unit; a product display unit that displays the products and prices in the shop displayed by the shop display unit; A system characterized by:

2. The preference analysis unit Identifying the user's preferences based on the user's past purchase history and visit history 2. The system of claim 1.

3. The shop display unit Analyze the user's walking speed and direction and display shop information at the optimal time 2. The system of claim 1.

4. The shop display unit Analyze the user's past travel history and prioritize displaying shop information specific to frequently visited areas 2. The system of claim 1.

5. The shop display unit Analyze the user's feelings toward the shops in which they have shown interest, and prioritize displaying shops that evoke positive feelings 2. The system of claim 1.

Images