System

Abstract

An object of a system according to an embodiment is to provide crime prevention information and traffic information based on position information acquired in real time.SOLUTION: A system according to an embodiment includes a position acquisition unit, an information analysis unit, an advice generation unit, and a sound output unit. The position acquisition unit acquires position information in real time. The information analysis unit analyzes the crime prevention information and the traffic information based on the position information acquired by the position acquisition unit. The advice generation unit generates appropriate advice or an alert on the basis of the information analyzed by the information analysis unit. The sound output unit outputs the advice or the alert generated by the advice generation unit by sound.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 technologies have not adequately acquired location information in real time and provided crime prevention information and traffic information based on that information, and there is room for improvement.

[0005] The system according to the embodiment aims to provide crime prevention information and traffic information based on location information acquired in real time. [Means for solving the problem]

[0006] The system according to the embodiment includes a location acquisition unit, an information analysis unit, an advice generation unit, and an audio output unit. The location acquisition unit acquires location information in real time. The information analysis unit analyzes crime prevention information and traffic information based on the location information acquired by the location acquisition unit. The advice generation unit generates appropriate advice or a warning based on the information analyzed by the information analysis unit. The audio output unit outputs the advice or a warning generated by the advice generation unit by audio. [Effects of the Invention]

[0007] The system according to the embodiment can provide crime prevention information and traffic information based on location information acquired in real time. [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 the user's emotion using the emotion identification model 59 and perform identification processing using the user's emotion.

[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 may have a data generation model and an emotion identification model similar to the data generation model 58 and the emotion identification model 59.

[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) The information provision system according to the embodiment of the present invention acquires location information, and the AI ​​generation system analyzes crime prevention and traffic information to provide children with the most up-to-date information. This enables the information provision system to support children in going to and from school safely.

[0029] An information provision system according to an embodiment includes a location acquisition unit, an information analysis unit, an advice generation unit, and an audio output unit. The location acquisition unit acquires location information in real time. For example, the location of a child is identified using GPS. Location information can also be acquired using Wi-Fi or Bluetooth. Location can also be identified using mobile base station information. The information analysis unit analyzes crime prevention information and traffic information based on the location information acquired by the location acquisition unit. For example, crime prevention information can be provided based on past crime occurrence information. Crime prevention information can also be provided based on police report information. Traffic information can also be provided based on traffic congestion information and accident information. The advice generation unit generates appropriate advice or warnings based on the information analyzed by the information analysis unit. For example, the generation AI generates advice using a text generation AI (e.g., LLM). The generation AI can also generate advice using a multimodal generation AI. The generation AI can also generate advice by extracting important parts of a sentence. The audio output unit outputs the advice or warning generated by the advice generation unit as audio. For example, the advice is converted into audio using speech synthesis technology. Audio can also be output using a speaker. Furthermore, audio can also be output using a headset. This allows the information provision system according to the embodiment to support children in safely going to and from school. For example, by issuing appropriate warnings when children approach dangerous areas, children can be protected from accidents and crimes. Furthermore, by providing the latest traffic information, children can cross the road safely.

[0030] The location acquisition unit can analyze a child's walking speed or direction in real time and issue a warning if it detects abnormal movement. For example, the location acquisition unit monitors a child's walking speed in real time and issues a warning if it exceeds the normal speed range. For example, it detects an abnormality if the child suddenly starts running or if the walking speed is significantly slower than normal. The location acquisition unit also analyzes a child's walking direction and issues a warning if the child deviates from the normal school route. For example, it detects an abnormality if the child leaves a specific area or goes in the opposite direction. The location acquisition unit also learns a child's walking pattern and issues a warning if it detects movement that differs from the normal pattern. For example, it detects an abnormality if the child suddenly stops or walks in a zigzag pattern. This allows for the detection of abnormal movement by a child and allows for quick response.

[0031] The information analysis unit can analyze a child's past movement history, detect specific patterns, and make predictions. For example, the information analysis unit analyzes a child's past movement history and detects movement patterns on specific days of the week and time periods. For example, if a child takes a specific route at a specific time period every Monday, the information analysis unit learns that pattern. The information analysis unit also predicts the time a child will arrive at a specific area based on the movement history and detects abnormal delays or early arrivals. For example, it issues an alert if the child arrives earlier or is late than usual. The information analysis unit also analyzes a child's movement pattern and predicts the length of time the child will stay in a specific area. For example, it detects an abnormality if the child stays longer than usual in a specific park. In this way, safety is improved by analyzing children's movement patterns and making predictions.

[0032] The information analysis unit can provide information about the history or culture of places visited by children, thereby adding educational value. For example, when a child arrives at a particular historical location, the information analysis unit provides information about the history or culture of that location. For example, it can provide information such as, "This is a temple built in the Edo period." The information analysis unit can also provide information about cultural events and exhibitions related to the places visited by children. For example, it can provide information such as, "This museum is currently hosting a dinosaur exhibition." The information analysis unit can also provide information about historical events and people related to the places visited by children. For example, it can provide information such as, "This park was a place that famous writers often visited." This can provide information about the history or culture of places visited by children, thereby adding educational value.

[0033] The information analysis unit can suggest nearby events or activities that the child might be interested in based on the location information. For example, when a child arrives in a specific area, the information analysis unit suggests events or activities being held in that area. For example, it provides information such as "A soccer class is being held nearby." The information analysis unit also suggests events or activities that the child might be interested in based on the child's past behavioral history. For example, it provides information such as "The science experiment class that you participated in last time is being held again." The information analysis unit also suggests events and activities according to the child's age and interests. For example, it provides information such as "A picture book reading event is being held nearby." This makes it possible to suggest events and activities that the child might be interested in.

[0034] In addition to crime prevention information, the information analysis unit can analyze past crime data to predict future risks and issue warnings. The information analysis unit, for example, analyzes past crime data to predict future risks in a specific area. For example, it can issue a warning such as, "Many bicycle thefts have occurred in this area in the past. Please be careful." The information analysis unit can also predict risks during specific times of day or days of the week based on the crime data and issue warnings. For example, it can issue a warning such as, "Many crimes occur in this area at night. Please return home early." The information analysis unit can also analyze crime data to detect specific patterns and issue warnings. For example, it can issue a warning such as, "Crime increases in this area during certain events. Please be careful." In this way, it is possible to analyze past crime data, predict future risks, and issue warnings.

[0035] The information analysis unit can suggest specific evacuation routes or safe places in real time when providing crime prevention information. For example, when a child approaches a dangerous area, the information analysis unit suggests a specific evacuation route in real time. For example, it makes a suggestion such as, "It is dangerous up ahead. Turn right and take a safe route." In addition, when a child encounters a dangerous situation, the information analysis unit suggests a safe place in real time. For example, it makes a suggestion such as, "Evacuate to a nearby convenience store." In addition, the information analysis unit suggests a route that a child can safely evacuate to in real time based on crime prevention information. For example, it makes a suggestion such as, "If you follow this road, you will reach a safe place." In this way, when providing crime prevention information, it is possible to suggest specific evacuation routes and safe places in real time.

[0036] The information analysis unit can provide information on local volunteer activities or community events in addition to crime prevention information, thereby promoting cooperation with the local community. For example, the information analysis unit can provide information on local volunteer activities in addition to crime prevention information. For example, it can provide information such as "cleaning activities are held in this area every Saturday." The information analysis unit can also provide information on local community events to promote cooperation with the local community. For example, it can provide information such as "crime prevention patrols are being held nearby." The information analysis unit can also provide information on local safety events and activities in addition to crime prevention information. For example, it can provide information such as "crime prevention seminars are being held in this area." This can promote cooperation with the local community by providing information on local volunteer activities and community events.

[0037] When providing crime prevention information, the information analysis unit can strengthen cooperation with local police or crime prevention organizations and share information in real time. For example, when providing crime prevention information, the information analysis unit cooperates with local police and shares information in real time. For example, it provides information such as "Police are on patrol in this area." The information analysis unit also cooperates with local crime prevention organizations and shares information in real time. For example, it provides information such as "Crime prevention patrols are being conducted in this area." The information analysis unit also cooperates with local police or crime prevention organizations based on the crime prevention information to provide specific advice to children. For example, it provides information such as "It is recommended that you contact the police in this area." This allows for strengthened cooperation with local police and crime prevention organizations and sharing of information in real time.

[0038] The information analysis unit can analyze past traffic accident data in addition to traffic information, predict dangerous intersections or roads, and issue warnings. The information analysis unit, for example, analyzes past traffic accident data and predicts the danger of specific intersections or roads. For example, it issues a warning such as, "Many accidents have occurred at this intersection in the past. Please be careful." The information analysis unit also predicts risks during specific time periods or days of the week based on the traffic accident data and issues warnings. For example, it issues a warning such as, "Many traffic accidents occur on this road in the evening. Please be careful." The information analysis unit also analyzes traffic accident data and detects specific patterns to issue warnings. For example, it issues a warning such as, "Accidents increase on rainy days in this area. Please be careful." In this way, it is possible to analyze past traffic accident data, predict dangerous intersections and roads, and issue warnings.

[0039] The information analysis unit can suggest specific safe routes or roads to avoid in real time when providing traffic information. For example, when a child approaches a dangerous area, the information analysis unit suggests specific safe routes in real time. For example, it makes a suggestion such as, "It is dangerous up ahead. Turn right and take a safe route." In addition, when a child encounters a dangerous situation, the information analysis unit suggests roads to avoid in real time. For example, it makes a suggestion such as, "This road has a lot of traffic, so let's choose a different route." In addition, the information analysis unit suggests routes that children can travel safely in real time based on traffic information. For example, it makes a suggestion such as, "If you continue down this road, you will reach a safe crosswalk." In this way, when providing traffic information, it is possible to suggest specific safe routes or roads to avoid in real time.

[0040] The information analysis unit can support children's travel by providing information on the operation status or delays of local public transportation in addition to traffic information. For example, when a child uses public transportation, the information analysis unit provides real-time information on the operation status and delays. For example, it provides information such as, "This bus is delayed. Take the next bus." The information analysis unit also suggests routes that children can travel safely based on the operation status of local public transportation. For example, it provides information such as, "This train is crowded. Take the next train." The information analysis unit also integrates traffic information and the operation status of public transportation to suggest routes that children can travel efficiently. For example, it provides information such as, "If you take this bus, you will arrive at your destination more quickly." This makes it possible to provide information on the operation status and delays of local public transportation to support children's travel.

[0041] When providing traffic information, the information analysis unit can add educational value by providing information on local traffic safety education programs or events. For example, the information analysis unit provides information on local traffic safety education programs in addition to traffic information. For example, it provides information such as "traffic safety classes are being held in this area." The information analysis unit also provides information on local traffic safety events to raise traffic safety awareness among children. For example, it provides information such as "traffic safety campaigns are being held nearby." The information analysis unit also provides information on local traffic safety education programs and events together with traffic information. For example, it provides information such as "traffic safety seminars are being held in this area." This allows the information on local traffic safety education programs and events to be provided, adding educational value.

[0042] The information analysis unit can analyze past data in addition to fresh information, predict future risks or events, and issue warnings. The information analysis unit, for example, analyzes past data to predict future risks in a specific area. For example, it issues a warning such as, "A lot of construction work has been done in this area in the past. Caution is required." The information analysis unit also predicts risks during specific time periods or days of the week based on the data and issues warnings. For example, it issues a warning such as, "Traffic accidents frequently occur on this road in the evening. Caution is required." The information analysis unit also analyzes data, detects specific patterns, and issues warnings. For example, it issues a warning such as, "Accidents increase on rainy days in this area. Caution is required." This makes it possible to analyze past data, predict future risks and events, and issue warnings.

[0043] The information analysis unit can suggest specific instructions for action or evacuation routes in real time when providing fresh information. For example, when a child approaches a dangerous area, the information analysis unit suggests specific instructions for action in real time. For example, it makes a suggestion such as, "It is dangerous up ahead. Turn right and take a safe route." In addition, when a child encounters a dangerous situation, the information analysis unit suggests evacuation routes in real time. For example, it makes a suggestion such as, "This road has a lot of traffic, so let's take a different route." In addition, the information analysis unit suggests routes that the child can travel safely in real time based on fresh information. For example, it makes a suggestion such as, "If you go down this road, you will reach a safe crosswalk." In this way, when providing fresh information, it is possible to suggest specific instructions for action or evacuation routes in real time.

[0044] The information analysis unit can provide not only the most up-to-date information but also the latest information on local events or activities to pique a child's interest. For example, when a child arrives in a specific area, the information analysis unit provides the latest events and activities being held in that area. For example, it can provide information such as "A soccer class is being held nearby." The information analysis unit can also provide the latest events and activities that a child might be interested in based on the child's past behavioral history. For example, it can provide information such as "The science experiment class that you participated in last time is being held again." The information analysis unit can also provide the latest events and activities according to the child's age and interests. For example, it can provide information such as "A picture book reading event is being held nearby." This can provide the latest information on local events and activities to pique a child's interest.

[0045] When providing fresh information, the information analysis unit can add information such as local news or weather forecasts to provide comprehensive information. For example, when a child arrives in a specific area, the information analysis unit can provide the latest news and weather forecasts for that area. For example, it can provide information such as, "A traffic accident occurred in this area this morning. Caution is advised." The information analysis unit can also provide comprehensive information by providing local news and weather forecasts in addition to fresh information. For example, it can provide information such as, "An event will be held in this area this weekend." The information analysis unit can also provide the latest news and weather forecasts based on the child's behavior patterns. For example, it can provide information such as, "It is forecast to rain in this area this afternoon. Bring an umbrella." This allows the information analysis unit to add information such as local news and weather forecasts to provide comprehensive information.

[0046] The advice generation unit can analyze the child's past behavior history and provide individually customized advice. The advice generation unit, for example, analyzes the child's past behavior history and provides individually customized advice. For example, it may give advice such as, "You walked this road last time too. Be careful when walking." The advice generation unit also provides individually customized advice based on the child's behavior patterns. For example, it may give advice such as, "You left a little early today. It's okay to walk slowly." The advice generation unit also analyzes the child's past movement history and provides individually customized advice on points to be careful of in specific areas. For example, it may give advice such as, "You needed to be careful at this intersection last time too. Be careful when crossing." In this way, it is possible to analyze the child's past behavior history and provide individually customized advice.

[0047] The advice generation unit can suggest specific instructions for action or evacuation routes in real time when talking to a child. For example, when a child approaches a dangerous area, the advice generation unit suggests specific instructions for action in real time. For example, it makes a suggestion such as, "It is dangerous up ahead. Turn right and take a safer route." The advice generation unit also suggests evacuation routes in real time when a child encounters a dangerous situation. For example, it makes a suggestion such as, "There is a lot of traffic on this road, so let's take a different route." The advice generation unit also suggests evacuation routes in real time when a child gets lost. For example, it makes a suggestion such as, "Go to the nearest police box and ask for help." This makes it possible to suggest specific instructions for action or evacuation routes in real time when talking to a child.

[0048] In addition to talking to the child, the advice generation unit can provide information about local events or activities to pique the child's interest. For example, when a child reaches a specific area, the advice generation unit provides information about events and activities being held in that area. For example, it can provide information such as "There is a soccer class being held nearby." The advice generation unit can also provide information about events and activities that the child might be interested in based on the child's past behavioral history. For example, it can provide information such as "The science experiment class that you participated in last time is being held again." The advice generation unit can also provide information about events and activities that are appropriate for the child's age and interests. For example, it can provide information such as "There is a picture book reading event being held nearby." In this way, it is possible to provide information about local events and activities to pique the child's interest.

[0049] When speaking to a child, the advice generation unit can add information such as local news or weather forecasts to provide comprehensive information. For example, when a child reaches a specific area, the advice generation unit provides the latest news and weather forecasts for that area. For example, it can provide information such as, "A traffic accident occurred in this area this morning. Be careful." The advice generation unit can also provide comprehensive information by providing local news and weather forecasts in addition to speaking to the child. For example, it can provide information such as, "An event will be held in this area this weekend." The advice generation unit can also provide the latest news and weather forecasts based on the child's behavior patterns. For example, it can provide information such as, "It is forecast to rain in this area this afternoon. Bring an umbrella." This allows the addition of information such as local news and weather forecasts to provide comprehensive information.

[0050] The system according to the embodiment is not limited to the above-described example, and various modifications are possible, for example, as follows.

[0051] The information analysis unit can monitor a child's health condition and issue a warning if it detects an abnormality. For example, it can monitor a child's body temperature and heart rate in real time and issue a warning if it detects an abnormal change. For example, it can detect an abnormality if the body temperature rises suddenly or the heart rate is abnormally high. The information analysis unit can also analyze a child's walking pattern and issue a warning if it detects any abnormal movement. For example, it can detect an abnormality if the child suddenly stops walking or staggers. Furthermore, the information analysis unit can provide appropriate advice based on the child's health condition. For example, it can provide advice such as "Take a short break and drink plenty of fluids." This allows the system to monitor a child's health condition, detect abnormalities, and respond quickly.

[0052] The information analysis unit can analyze a child's learning history and provide information related to their learning. For example, if a child is interested in a particular subject or topic, it can provide related information. For example, it can provide information such as, "There is a science museum nearby." The information analysis unit can also suggest events and activities that are useful for learning based on the child's learning history. For example, it can provide information such as, "Science experiment classes are being held in this area." The information analysis unit can also analyze a child's learning history and provide resources related to their learning. For example, it can provide information such as, "This library has many science-related books." In this way, it is possible to analyze a child's learning history and provide information related to their learning.

[0053] The information analysis unit can provide relevant information based on a child's interests and hobbies. For example, if a child is interested in a particular sport, related information is provided. For example, information such as "There are soccer lessons being held nearby" is provided. The information analysis unit also suggests related events and activities based on the child's interests and hobbies. For example, information such as "There are basketball games being held in this area" is provided. The information analysis unit also provides relevant resources based on the child's interests and hobbies. For example, information such as "This library has many sports-related books" is provided. This makes it possible to provide relevant information based on a child's interests and hobbies.

[0054] The information analysis unit can analyze a child's past behavior history and provide individually customized advice. For example, the information analysis unit can analyze a child's past behavior history and provide individually customized advice. For example, the information analysis unit can provide advice such as, "You walked this road last time, too. Be careful when walking." The information analysis unit can also provide individually customized advice based on a child's behavior patterns. For example, the information analysis unit can provide advice such as, "You left a little early today. It's okay to walk slowly." The information analysis unit can also analyze a child's past movement history and provide individually customized advice on points to be careful of in specific areas. For example, the information analysis unit can provide advice such as, "You needed to be careful at this intersection last time, too. Be careful when crossing." In this way, the information analysis unit can analyze a child's past behavior history and provide individually customized advice.

[0055] The information analysis unit can analyze a child's learning history and provide information related to their learning. For example, if a child is interested in a particular subject or topic, it can provide related information. For example, it can provide information such as, "There is a science museum nearby." The information analysis unit can also suggest events and activities that are useful for learning based on the child's learning history. For example, it can provide information such as, "Science experiment classes are being held in this area." The information analysis unit can also analyze a child's learning history and provide resources related to their learning. For example, it can provide information such as, "This library has many science-related books." In this way, it is possible to analyze a child's learning history and provide information related to their learning.

[0056] The processing flow of the first embodiment will be briefly explained below.

[0057] Step 1: The location acquisition unit acquires location information in real time. For example, the child's location can be identified using GPS. Location information can also be acquired using Wi-Fi or Bluetooth. Furthermore, location can also be identified using mobile base station information. Step 2: The information analysis unit analyzes the crime prevention information and traffic information based on the location information acquired by the location acquisition unit. For example, crime prevention information can be provided based on information about past crime occurrences. Crime prevention information can also be provided based on information reported by the police. Furthermore, traffic information can also be provided based on traffic congestion information and accident information. Step 3: The advice generation unit generates appropriate advice or warnings based on the information analyzed by the information analysis unit. For example, the generation AI generates advice using a text generation AI (e.g., LLM). The generation AI can also generate advice using a multimodal generation AI. Furthermore, the generation AI can extract important parts of a sentence to generate advice. Step 4: The audio output unit outputs the advice or warning generated by the advice generation unit as audio. For example, the advice may be converted into audio using speech synthesis technology. Alternatively, the audio may be output using a speaker. Alternatively, the audio may be output using a headset.

[0058] (Example 2) The information provision system according to the embodiment of the present invention acquires location information, and the AI ​​generation system analyzes crime prevention and traffic information to provide children with the most up-to-date information. This enables the information provision system to support children in going to and from school safely.

[0059] An information provision system according to an embodiment includes a location acquisition unit, an information analysis unit, an advice generation unit, and an audio output unit. The location acquisition unit acquires location information in real time. For example, the location of a child is identified using GPS. Location information can also be acquired using Wi-Fi or Bluetooth. Location can also be identified using mobile base station information. The information analysis unit analyzes crime prevention information and traffic information based on the location information acquired by the location acquisition unit. For example, crime prevention information can be provided based on past crime occurrence information. Crime prevention information can also be provided based on police report information. Traffic information can also be provided based on traffic congestion information and accident information. The advice generation unit generates appropriate advice or warnings based on the information analyzed by the information analysis unit. For example, the generation AI generates advice using a text generation AI (e.g., LLM). The generation AI can also generate advice using a multimodal generation AI. The generation AI can also generate advice by extracting important parts of a sentence. The audio output unit outputs the advice or warning generated by the advice generation unit as audio. For example, the advice is converted into audio using speech synthesis technology. Audio can also be output using a speaker. Furthermore, audio can also be output using a headset. This allows the information provision system according to the embodiment to support children in safely going to and from school. For example, by issuing appropriate warnings when children approach dangerous areas, children can be protected from accidents and crimes. Furthermore, by providing the latest traffic information, children can cross the road safely.

[0060] The location acquisition unit can analyze a child's walking speed or direction in real time and issue a warning if it detects abnormal movement. For example, the location acquisition unit monitors a child's walking speed in real time and issues a warning if it exceeds the normal speed range. For example, it detects an abnormality if the child suddenly starts running or if the walking speed is significantly slower than normal. The location acquisition unit also analyzes a child's walking direction and issues a warning if the child deviates from the normal school route. For example, it detects an abnormality if the child leaves a specific area or goes in the opposite direction. The location acquisition unit also learns a child's walking pattern and issues a warning if it detects movement that differs from the normal pattern. For example, it detects an abnormality if the child suddenly stops or walks in a zigzag pattern. This allows for the detection of abnormal movement by a child and allows for quick response.

[0061] The information analysis unit can analyze a child's past movement history, detect specific patterns, and make predictions. For example, the information analysis unit analyzes a child's past movement history and detects movement patterns on specific days of the week and time periods. For example, if a child takes a specific route at a specific time period every Monday, the information analysis unit learns that pattern. The information analysis unit also predicts the time a child will arrive at a specific area based on the movement history and detects abnormal delays or early arrivals. For example, it issues an alert if the child arrives earlier or is late than usual. The information analysis unit also analyzes a child's movement pattern and predicts the length of time the child will stay in a specific area. For example, it detects an abnormality if the child stays longer than usual in a specific park. In this way, safety is improved by analyzing children's movement patterns and making predictions.

[0062] The advice generation unit can use the emotion estimation function to generate a message to reassure a child when he or she is feeling anxious or scared. For example, the advice generation unit analyzes the child's facial expressions and voice, and generates a reassuring message when it detects emotions of anxiety or fear. For example, it sends a message such as, "It's okay, you'll be home soon." The advice generation unit also monitors the child's heart rate and breathing pattern, and generates a message to help the child relax when it detects abnormal fluctuations. For example, it sends a message such as, "Take a deep breath and walk slowly." The advice generation unit also analyzes the child's behavioral patterns, and generates a reassuring message when it detects abnormal behavior. For example, it sends a message such as, "You're walking with your friends, be careful." In this way, it is possible to generate a reassuring message when a child feels anxious or scared.

[0063] The information analysis unit can provide information about the history or culture of places visited by children, thereby adding educational value. For example, when a child arrives at a particular historical location, the information analysis unit provides information about the history or culture of that location. For example, it can provide information such as, "This is a temple built in the Edo period." The information analysis unit can also provide information about cultural events and exhibitions related to the places visited by children. For example, it can provide information such as, "This museum is currently hosting a dinosaur exhibition." The information analysis unit can also provide information about historical events and people related to the places visited by children. For example, it can provide information such as, "This park was a place that famous writers often visited." This can provide information about the history or culture of places visited by children, thereby adding educational value.

[0064] The information analysis unit can suggest nearby events or activities that the child might be interested in based on the location information. For example, when a child arrives in a specific area, the information analysis unit suggests events or activities being held in that area. For example, it provides information such as "A soccer class is being held nearby." The information analysis unit also suggests events or activities that the child might be interested in based on the child's past behavioral history. For example, it provides information such as "The science experiment class that you participated in last time is being held again." The information analysis unit also suggests events and activities according to the child's age and interests. For example, it provides information such as "A picture book reading event is being held nearby." This makes it possible to suggest events and activities that the child might be interested in.

[0065] The advice generation unit can use the emotion estimation function to identify places or activities that the child is enjoying and make suggestions to increase positive experiences. For example, the advice generation unit analyzes the child's facial expressions and voice, and if it detects an emotion of enjoyment, it provides information related to the place or activity. For example, it provides information such as "There are other fun play equipment in this park." The advice generation unit can also analyze the child's behavioral patterns to identify places or activities that the child is enjoying and suggest related events or activities. For example, it provides information such as "Similar activities are being held nearby." The advice generation unit can also make suggestions to increase positive experiences based on the child's emotion estimation data. For example, it provides information such as "There are other interesting exhibits in this museum." This makes it possible to identify places and activities that the child is enjoying and make suggestions to increase positive experiences.

[0066] In addition to crime prevention information, the information analysis unit can analyze past crime data to predict future risks and issue warnings. The information analysis unit, for example, analyzes past crime data to predict future risks in a specific area. For example, it can issue a warning such as, "Many bicycle thefts have occurred in this area in the past. Please be careful." The information analysis unit can also predict risks during specific times of day or days of the week based on the crime data and issue warnings. For example, it can issue a warning such as, "Many crimes occur in this area at night. Please return home early." The information analysis unit can also analyze crime data to detect specific patterns and issue warnings. For example, it can issue a warning such as, "Crime increases in this area during certain events. Please be careful." In this way, it is possible to analyze past crime data, predict future risks, and issue warnings.

[0067] The information analysis unit can suggest specific evacuation routes or safe places in real time when providing crime prevention information. For example, when a child approaches a dangerous area, the information analysis unit suggests a specific evacuation route in real time. For example, it makes a suggestion such as, "It is dangerous up ahead. Turn right and take a safe route." In addition, when a child encounters a dangerous situation, the information analysis unit suggests a safe place in real time. For example, it makes a suggestion such as, "Evacuate to a nearby convenience store." In addition, the information analysis unit suggests a route that a child can safely evacuate to in real time based on crime prevention information. For example, it makes a suggestion such as, "If you follow this road, you will reach a safe place." In this way, when providing crime prevention information, it is possible to suggest specific evacuation routes and safe places in real time.

[0068] The advice generation unit can use the emotion estimation function to provide specific behavioral instructions to reassure a child when he or she feels anxious. The advice generation unit, for example, analyzes the child's facial expressions and voice and provides specific behavioral instructions to reassure the child when he or she feels anxious. For example, the advice generation unit issues an instruction such as "Take a deep breath and walk slowly." The advice generation unit also monitors the child's heart rate and breathing pattern, and when abnormal fluctuations are detected, provides specific behavioral instructions to relax the child. For example, the advice generation unit issues an instruction such as "Take a short rest on a nearby bench." The advice generation unit also analyzes the child's behavioral patterns and when abnormal behavior is detected, provides specific behavioral instructions to reassure the child. For example, the advice generation unit issues an instruction such as "You're walking with a friend, so be careful." In this way, specific behavioral instructions to reassure a child when he or she feels anxious can be provided.

[0069] The information analysis unit can provide information on local volunteer activities or community events in addition to crime prevention information, thereby promoting cooperation with the local community. For example, the information analysis unit can provide information on local volunteer activities in addition to crime prevention information. For example, it can provide information such as "cleaning activities are held in this area every Saturday." The information analysis unit can also provide information on local community events to promote cooperation with the local community. For example, it can provide information such as "crime prevention patrols are being held nearby." The information analysis unit can also provide information on local safety events and activities in addition to crime prevention information. For example, it can provide information such as "crime prevention seminars are being held in this area." This can promote cooperation with the local community by providing information on local volunteer activities and community events.

[0070] When providing crime prevention information, the information analysis unit can strengthen cooperation with local police or crime prevention organizations and share information in real time. For example, when providing crime prevention information, the information analysis unit cooperates with local police and shares information in real time. For example, it provides information such as "Police are on patrol in this area." The information analysis unit also cooperates with local crime prevention organizations and shares information in real time. For example, it provides information such as "Crime prevention patrols are being conducted in this area." The information analysis unit also cooperates with local police or crime prevention organizations based on the crime prevention information to provide specific advice to children. For example, it provides information such as "It is recommended that you contact the police in this area." This allows for strengthened cooperation with local police and crime prevention organizations and sharing of information in real time.

[0071] The advice generation unit uses the emotion estimation function to provide local safety information that gives children a sense of security, thereby eliciting positive emotions. The advice generation unit, for example, analyzes the child's facial expressions and voice to provide local safety information that gives children a sense of security. For example, it provides information such as, "Police frequently patrol this area." The advice generation unit also monitors the child's heart rate and breathing patterns to provide information that gives children a sense of security. For example, it provides information such as, "Security cameras are installed in this area." The advice generation unit also analyzes the child's behavioral patterns to provide local safety information that gives children a sense of security. For example, it provides information such as, "Local volunteers are watching over this area." In this way, it is possible to provide local safety information that gives children a sense of security and elicit positive emotions.

[0072] The information analysis unit can analyze past traffic accident data in addition to traffic information, predict dangerous intersections or roads, and issue warnings. The information analysis unit, for example, analyzes past traffic accident data and predicts the danger of specific intersections or roads. For example, it issues a warning such as, "Many accidents have occurred at this intersection in the past. Please be careful." The information analysis unit also predicts risks during specific time periods or days of the week based on the traffic accident data and issues warnings. For example, it issues a warning such as, "Many traffic accidents occur on this road in the evening. Please be careful." The information analysis unit also analyzes traffic accident data and detects specific patterns to issue warnings. For example, it issues a warning such as, "Accidents increase on rainy days in this area. Please be careful." In this way, it is possible to analyze past traffic accident data, predict dangerous intersections and roads, and issue warnings.

[0073] The information analysis unit can suggest specific safe routes or roads to avoid in real time when providing traffic information. For example, when a child approaches a dangerous area, the information analysis unit suggests specific safe routes in real time. For example, it makes a suggestion such as, "It is dangerous up ahead. Turn right and take a safe route." In addition, when a child encounters a dangerous situation, the information analysis unit suggests roads to avoid in real time. For example, it makes a suggestion such as, "This road has a lot of traffic, so let's choose a different route." In addition, the information analysis unit suggests routes that children can travel safely in real time based on traffic information. For example, it makes a suggestion such as, "If you continue down this road, you will reach a safe crosswalk." In this way, when providing traffic information, it is possible to suggest specific safe routes or roads to avoid in real time.

[0074] The advice generation unit can use the emotion estimation function to provide specific behavioral instructions to reassure a child when he or she feels anxious. The advice generation unit, for example, analyzes the child's facial expressions and voice and provides specific behavioral instructions to reassure the child when he or she feels anxious. For example, the advice generation unit issues an instruction such as "Take a deep breath and walk slowly." The advice generation unit also monitors the child's heart rate and breathing pattern, and when abnormal fluctuations are detected, provides specific behavioral instructions to relax the child. For example, the advice generation unit issues an instruction such as "Take a short rest on a nearby bench." The advice generation unit also analyzes the child's behavioral patterns and when abnormal behavior is detected, provides specific behavioral instructions to reassure the child. For example, the advice generation unit issues an instruction such as "You're walking with a friend, so be careful." In this way, specific behavioral instructions to reassure a child when he or she feels anxious can be provided.

[0075] The information analysis unit can support children's travel by providing information on the operation status or delays of local public transportation in addition to traffic information. For example, when a child uses public transportation, the information analysis unit provides real-time information on the operation status and delays. For example, it provides information such as, "This bus is delayed. Take the next bus." The information analysis unit also suggests routes that children can travel safely based on the operation status of local public transportation. For example, it provides information such as, "This train is crowded. Take the next train." The information analysis unit also integrates traffic information and the operation status of public transportation to suggest routes that children can travel efficiently. For example, it provides information such as, "If you take this bus, you will arrive at your destination more quickly." This makes it possible to provide information on the operation status and delays of local public transportation to support children's travel.

[0076] When providing traffic information, the information analysis unit can add educational value by providing information on local traffic safety education programs or events. For example, the information analysis unit provides information on local traffic safety education programs in addition to traffic information. For example, it provides information such as "traffic safety classes are being held in this area." The information analysis unit also provides information on local traffic safety events to raise traffic safety awareness among children. For example, it provides information such as "traffic safety campaigns are being held nearby." The information analysis unit also provides information on local traffic safety education programs and events together with traffic information. For example, it provides information such as "traffic safety seminars are being held in this area." This allows the information on local traffic safety education programs and events to be provided, adding educational value.

[0077] The advice generation unit uses the emotion estimation function to provide traffic information that allows children to travel safely and elicit positive emotions. The advice generation unit, for example, analyzes the child's facial expressions and voice to provide traffic information that gives a sense of security. For example, it provides information such as, "Traffic safety measures are in place in this area." The advice generation unit also monitors the child's heart rate and breathing patterns to provide information that gives a sense of security. For example, it provides information such as, "This road is for pedestrians only. You can walk safely." The advice generation unit also analyzes the child's behavioral patterns to provide traffic information that gives a sense of security. For example, it provides information such as, "There are few traffic accidents in this area. You can travel safely." In this way, it is possible to provide traffic information that allows children to travel safely and elicit positive emotions.

[0078] The information analysis unit can analyze past data in addition to fresh information, predict future risks or events, and issue warnings. The information analysis unit, for example, analyzes past data to predict future risks in a specific area. For example, it issues a warning such as, "A lot of construction work has been done in this area in the past. Caution is required." The information analysis unit also predicts risks during specific time periods or days of the week based on the data and issues warnings. For example, it issues a warning such as, "Traffic accidents frequently occur on this road in the evening. Caution is required." The information analysis unit also analyzes data, detects specific patterns, and issues warnings. For example, it issues a warning such as, "Accidents increase on rainy days in this area. Caution is required." This makes it possible to analyze past data, predict future risks and events, and issue warnings.

[0079] The information analysis unit can suggest specific instructions for action or evacuation routes in real time when providing fresh information. For example, when a child approaches a dangerous area, the information analysis unit suggests specific instructions for action in real time. For example, it makes a suggestion such as, "It is dangerous up ahead. Turn right and take a safe route." In addition, when a child encounters a dangerous situation, the information analysis unit suggests evacuation routes in real time. For example, it makes a suggestion such as, "This road has a lot of traffic, so let's take a different route." In addition, the information analysis unit suggests routes that the child can travel safely in real time based on fresh information. For example, it makes a suggestion such as, "If you go down this road, you will reach a safe crosswalk." In this way, when providing fresh information, it is possible to suggest specific instructions for action or evacuation routes in real time.

[0080] The advice generation unit can use the emotion estimation function to provide specific behavioral instructions to reassure a child when he or she feels anxious. The advice generation unit, for example, analyzes the child's facial expressions and voice and provides specific behavioral instructions to reassure the child when he or she feels anxious. For example, the advice generation unit issues an instruction such as "Take a deep breath and walk slowly." The advice generation unit also monitors the child's heart rate and breathing pattern, and when abnormal fluctuations are detected, provides specific behavioral instructions to relax the child. For example, the advice generation unit issues an instruction such as "Take a short rest on a nearby bench." The advice generation unit also analyzes the child's behavioral patterns and when abnormal behavior is detected, provides specific behavioral instructions to reassure the child. For example, the advice generation unit issues an instruction such as "You're walking with a friend, so be careful." In this way, specific behavioral instructions to reassure a child when he or she feels anxious can be provided.

[0081] The information analysis unit can provide not only the most up-to-date information but also the latest information on local events or activities to pique a child's interest. For example, when a child arrives in a specific area, the information analysis unit provides the latest events and activities being held in that area. For example, it can provide information such as "A soccer class is being held nearby." The information analysis unit can also provide the latest events and activities that a child might be interested in based on the child's past behavioral history. For example, it can provide information such as "The science experiment class that you participated in last time is being held again." The information analysis unit can also provide the latest events and activities according to the child's age and interests. For example, it can provide information such as "A picture book reading event is being held nearby." This can provide the latest information on local events and activities to pique a child's interest.

[0082] When providing fresh information, the information analysis unit can add information such as local news or weather forecasts to provide comprehensive information. For example, when a child arrives in a specific area, the information analysis unit can provide the latest news and weather forecasts for that area. For example, it can provide information such as, "A traffic accident occurred in this area this morning. Caution is advised." The information analysis unit can also provide comprehensive information by providing local news and weather forecasts in addition to fresh information. For example, it can provide information such as, "An event will be held in this area this weekend." The information analysis unit can also provide the latest news and weather forecasts based on the child's behavior patterns. For example, it can provide information such as, "It is forecast to rain in this area this afternoon. Bring an umbrella." This allows the information analysis unit to add information such as local news and weather forecasts to provide comprehensive information.

[0083] The advice generation unit uses the emotion estimation function to provide the child with the latest information that allows them to act with peace of mind, thereby eliciting positive emotions. The advice generation unit, for example, analyzes the child's facial expressions and voice to provide the child with the latest information that allows them to feel safe. For example, it provides information such as "The police frequently patrol this area." The advice generation unit also monitors the child's heart rate and breathing patterns to provide the child with the latest information that allows them to feel safe. For example, it provides information such as "Security cameras are installed in this area." The advice generation unit also analyzes the child's behavioral patterns to provide the child with the latest information that allows them to feel safe. For example, it provides information such as "Local volunteers are watching over this area." In this way, it is possible to provide the child with the latest information that allows them to act with peace of mind, thereby eliciting positive emotions.

[0084] The advice generation unit can analyze the child's past behavior history and provide individually customized advice. The advice generation unit, for example, analyzes the child's past behavior history and provides individually customized advice. For example, it may give advice such as, "You walked this road last time too. Be careful when walking." The advice generation unit also provides individually customized advice based on the child's behavior patterns. For example, it may give advice such as, "You left a little early today. It's okay to walk slowly." The advice generation unit also analyzes the child's past movement history and provides individually customized advice on points to be careful of in specific areas. For example, it may give advice such as, "You needed to be careful at this intersection last time too. Be careful when crossing." In this way, it is possible to analyze the child's past behavior history and provide individually customized advice.

[0085] The advice generation unit can suggest specific instructions for action or evacuation routes in real time when talking to a child. For example, when a child approaches a dangerous area, the advice generation unit suggests specific instructions for action in real time. For example, it makes a suggestion such as, "It is dangerous up ahead. Turn right and take a safer route." The advice generation unit also suggests evacuation routes in real time when a child encounters a dangerous situation. For example, it makes a suggestion such as, "There is a lot of traffic on this road, so let's take a different route." The advice generation unit also suggests evacuation routes in real time when a child gets lost. For example, it makes a suggestion such as, "Go to the nearest police box and ask for help." This makes it possible to suggest specific instructions for action or evacuation routes in real time when talking to a child.

[0086] The advice generation unit can use the emotion estimation function to provide specific behavioral instructions to reassure a child when he or she feels anxious. The advice generation unit, for example, analyzes the child's facial expressions and voice and provides specific behavioral instructions to reassure the child when he or she feels anxious. For example, the advice generation unit issues an instruction such as "Take a deep breath and walk slowly." The advice generation unit also monitors the child's heart rate and breathing pattern, and when abnormal fluctuations are detected, provides specific behavioral instructions to relax the child. For example, the advice generation unit issues an instruction such as "Take a short rest on a nearby bench." The advice generation unit also analyzes the child's behavioral patterns and when abnormal behavior is detected, provides specific behavioral instructions to reassure the child. For example, the advice generation unit issues an instruction such as "You're walking with a friend, so be careful." In this way, specific behavioral instructions to reassure a child when he or she feels anxious can be provided.

[0087] In addition to talking to the child, the advice generation unit can provide information about local events or activities to pique the child's interest. For example, when a child reaches a specific area, the advice generation unit provides information about events and activities being held in that area. For example, it can provide information such as "There is a soccer class being held nearby." The advice generation unit can also provide information about events and activities that the child might be interested in based on the child's past behavioral history. For example, it can provide information such as "The science experiment class that you participated in last time is being held again." The advice generation unit can also provide information about events and activities that are appropriate for the child's age and interests. For example, it can provide information such as "There is a picture book reading event being held nearby." In this way, it is possible to provide information about local events and activities to pique the child's interest.

[0088] When speaking to a child, the advice generation unit can add information such as local news or weather forecasts to provide comprehensive information. For example, when a child reaches a specific area, the advice generation unit provides the latest news and weather forecasts for that area. For example, it can provide information such as, "A traffic accident occurred in this area this morning. Be careful." The advice generation unit can also provide comprehensive information by providing local news and weather forecasts in addition to speaking to the child. For example, it can provide information such as, "An event will be held in this area this weekend." The advice generation unit can also provide the latest news and weather forecasts based on the child's behavior patterns. For example, it can provide information such as, "It is forecast to rain in this area this afternoon. Bring an umbrella." This allows the addition of information such as local news and weather forecasts to provide comprehensive information.

[0089] The advice generation unit uses the emotion estimation function to provide information that allows children to act with peace of mind, thereby eliciting positive emotions. The advice generation unit, for example, analyzes the child's facial expressions and voice to provide information that gives a sense of security. For example, it provides information such as, "The police frequently patrol this area." The advice generation unit also monitors the child's heart rate and breathing patterns to provide information that gives a sense of security. For example, it provides information such as, "Security cameras are installed in this area." The advice generation unit also analyzes the child's behavioral patterns to provide information that gives a sense of security. For example, it provides information such as, "Local volunteers are watching over this area." This provides information that allows children to act with peace of mind, thereby eliciting positive emotions.

[0090] The system according to the embodiment is not limited to the above-described example, and various modifications are possible, for example, as follows.

[0091] The information analysis unit can monitor a child's health condition and issue a warning if it detects an abnormality. For example, it can monitor a child's body temperature and heart rate in real time and issue a warning if it detects an abnormal change. For example, it can detect an abnormality if the body temperature rises suddenly or the heart rate is abnormally high. The information analysis unit can also analyze a child's walking pattern and issue a warning if it detects any abnormal movement. For example, it can detect an abnormality if the child suddenly stops walking or staggers. Furthermore, the information analysis unit can provide appropriate advice based on the child's health condition. For example, it can provide advice such as "Take a short break and drink plenty of fluids." This allows the system to monitor a child's health condition, detect abnormalities, and respond quickly.

[0092] The advice generation unit can use the emotion estimation function to generate a message to help a child stay calm if the child is excited. For example, the advice generation unit analyzes the child's facial expressions and voice, and if excited emotions are detected, a message to help the child stay calm is generated. For example, a message such as "Take a deep breath and stay calm" is sent. The advice generation unit also monitors the child's heart rate and breathing pattern, and if abnormal fluctuations are detected, a message to help the child relax is generated. For example, a message such as "Walk slowly" is sent. The advice generation unit also analyzes the child's behavioral patterns, and if abnormal behavior is detected, a message to help the child stay calm is generated. For example, a message such as "Stop and take a look around" is sent. In this way, a message to help the child stay calm can be generated if the child is excited.

[0093] The information analysis unit can analyze a child's learning history and provide information related to their learning. For example, if a child is interested in a particular subject or topic, it can provide related information. For example, it can provide information such as, "There is a science museum nearby." The information analysis unit can also suggest events and activities that are useful for learning based on the child's learning history. For example, it can provide information such as, "Science experiment classes are being held in this area." The information analysis unit can also analyze a child's learning history and provide resources related to their learning. For example, it can provide information such as, "This library has many science-related books." In this way, it is possible to analyze a child's learning history and provide information related to their learning.

[0094] The advice generation unit can use the emotion estimation function to generate a message encouraging a child to take a break if the child is tired. For example, it analyzes the child's facial expressions and voice, and if it detects that the child is feeling tired, it generates a message encouraging the child to take a break. For example, it sends a message such as "Take a short break and replenish with fluids." The advice generation unit also monitors the child's heart rate and breathing pattern, and if it detects abnormal fluctuations, it generates a message encouraging the child to take a break. For example, it sends a message such as "Take a short rest on a nearby bench." The advice generation unit also analyzes the child's behavioral patterns, and if it detects behavior that is different from normal, it generates a message encouraging the child to take a break. For example, it sends a message such as "Stop and take a deep breath." In this way, it is possible to generate a message encouraging the child to take a break if the child is tired.

[0095] The information analysis unit can provide relevant information based on a child's interests and hobbies. For example, if a child is interested in a particular sport, related information is provided. For example, information such as "There are soccer lessons being held nearby" is provided. The information analysis unit also suggests related events and activities based on the child's interests and hobbies. For example, information such as "There are basketball games being held in this area" is provided. The information analysis unit also provides relevant resources based on the child's interests and hobbies. For example, information such as "This library has many sports-related books" is provided. This makes it possible to provide relevant information based on a child's interests and hobbies.

[0096] The advice generation unit can use the emotion estimation function to provide specific behavioral instructions to help a child calm down when they are excited. For example, by analyzing the child's facial expressions and voice and detecting that the child is excited, the advice generation unit provides specific behavioral instructions to help the child calm down. For example, the advice generation unit may give instructions such as "take a deep breath and walk slowly." The advice generation unit may also monitor the child's heart rate and breathing pattern and, when it detects abnormal fluctuations, provide specific behavioral instructions to help the child relax. For example, the advice generation unit may give instructions such as "take a short rest on a nearby bench." The advice generation unit may also analyze the child's behavioral patterns and, when it detects abnormal behavior, provide specific behavioral instructions to help the child calm down. For example, the advice generation unit may give instructions such as "stop and take a look around." In this way, it is possible to provide specific behavioral instructions to help a child calm down when they are excited.

[0097] The information analysis unit can analyze a child's past behavior history and provide individually customized advice. For example, the information analysis unit can analyze a child's past behavior history and provide individually customized advice. For example, the information analysis unit can provide advice such as, "You walked this road last time, too. Be careful when walking." The information analysis unit can also provide individually customized advice based on a child's behavior patterns. For example, the information analysis unit can provide advice such as, "You left a little early today. It's okay to walk slowly." The information analysis unit can also analyze a child's past movement history and provide individually customized advice on points to be careful of in specific areas. For example, the information analysis unit can provide advice such as, "You needed to be careful at this intersection last time, too. Be careful when crossing." In this way, the information analysis unit can analyze a child's past behavior history and provide individually customized advice.

[0098] The advice generation unit uses the emotion estimation function to provide information that allows children to act with peace of mind, thereby eliciting positive emotions. For example, the advice generation unit analyzes the child's facial expressions and voice to provide information that gives a sense of security. For example, it provides information such as, "The police frequently patrol this area." The advice generation unit also monitors the child's heart rate and breathing patterns to provide information that gives a sense of security. For example, it provides information such as, "Security cameras are installed in this area." The advice generation unit also analyzes the child's behavioral patterns to provide information that gives a sense of security. For example, it provides information such as, "Local volunteers are watching over this area." This provides information that allows children to act with peace of mind, thereby eliciting positive emotions.

[0099] The information analysis unit can analyze a child's learning history and provide information related to their learning. For example, if a child is interested in a particular subject or topic, it can provide related information. For example, it can provide information such as, "There is a science museum nearby." The information analysis unit can also suggest events and activities that are useful for learning based on the child's learning history. For example, it can provide information such as, "Science experiment classes are being held in this area." The information analysis unit can also analyze a child's learning history and provide resources related to their learning. For example, it can provide information such as, "This library has many science-related books." In this way, it is possible to analyze a child's learning history and provide information related to their learning.

[0100] The advice generation unit can use the emotion estimation function to identify places or activities that children are enjoying and make suggestions to increase their positive experiences. For example, if the system analyzes a child's facial expressions and voice and detects an emotion of enjoyment, it provides information related to the place or activity. For example, it provides information such as, "This park has other fun play equipment." The advice generation unit can also analyze a child's behavioral patterns to identify places or activities that children are enjoying and suggest related events or activities. For example, it provides information such as, "Similar activities are being held nearby." The advice generation unit can also make suggestions to increase their positive experiences based on the child's emotion estimation data. For example, it provides information such as, "This museum has other interesting exhibits." This makes it possible to identify places and activities that children are enjoying and make suggestions to increase their positive experiences.

[0101] The processing flow of the second embodiment will be briefly explained below.

[0102] Step 1: The location acquisition unit acquires location information in real time. For example, the child's location can be identified using GPS. Location information can also be acquired using Wi-Fi or Bluetooth. Furthermore, location can also be identified using mobile base station information. Step 2: The information analysis unit analyzes the crime prevention information and traffic information based on the location information acquired by the location acquisition unit. For example, crime prevention information can be provided based on information about past crime occurrences. Crime prevention information can also be provided based on information reported by the police. Furthermore, traffic information can also be provided based on traffic congestion information and accident information. Step 3: The advice generation unit generates appropriate advice or warnings based on the information analyzed by the information analysis unit. For example, the generation AI generates advice using a text generation AI (e.g., LLM). The generation AI can also generate advice using a multimodal generation AI. Furthermore, the generation AI can extract important parts of a sentence to generate advice. Step 4: The audio output unit outputs the advice or warning generated by the advice generation unit as audio. For example, the advice may be converted into audio using speech synthesis technology. Alternatively, the audio may be output using a speaker. Alternatively, the audio may be output using a headset.

[0103] 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.

[0104] 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.

[0105] 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.

[0106] [Second embodiment] FIG. 3 shows an example of the configuration of a data processing system 210 according to the second embodiment.

[0107] 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.

[0108] 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.

[0109] 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.

[0110] 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.

[0111] 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).

[0112] 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.

[0113] 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.

[0114] 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.

[0115] 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 the user's emotion using the emotion identification model 59 and perform identification processing using the user's emotion.

[0116] 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. Note that the smart glasses 214 may have a data generation model and an emotion identification model similar to the data generation model 58 and the emotion identification model 59.

[0117] 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.

[0118] 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.

[0119] 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.

[0120] 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.

[0121] [Third embodiment] FIG. 5 shows an example of the configuration of a data processing system 310 according to the third embodiment.

[0122] 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.

[0123] 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.

[0124] 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.

[0125] 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.

[0126] 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).

[0127] 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.

[0128] 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.

[0129] 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.

[0130] 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 the user's emotion using the emotion identification model 59 and perform identification processing using the user's emotion.

[0131] In the headset type terminal 314, the identification process is performed by the processor 46. A identification program 60 is stored in the storage 50. The processor 46 reads the identification program 60 from the storage 50 and executes the read identification program 60 on the RAM 48. The identification process is realized by the processor 46 operating as a control unit 46A in accordance with the identification program 60 executed on the RAM 48. Note that the headset type terminal 314 may also have a data generation model and an emotion identification model similar to the data generation model 58 and the emotion identification model 59.

[0132] 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.

[0133] 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.

[0134] 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.

[0135] 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.

[0136] [Fourth embodiment] FIG. 7 shows an example of the configuration of a data processing system 410 according to the fourth embodiment.

[0137] 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.

[0138] 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.

[0139] 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.

[0140] 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.

[0141] 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).

[0142] 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.

[0143] 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.

[0144] 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.

[0145] 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.

[0146] 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 the user's emotion using the emotion identification model 59 and perform identification processing using the user's emotion.

[0147] In the robot 414, the processor 46 performs the identification process. A identification program 60 is stored in the storage 50. The processor 46 reads the identification program 60 from the storage 50 and executes the read identification program 60 on the RAM 48. The identification process is realized by the processor 46 operating as a control unit 46A in accordance with the identification program 60 executed on the RAM 48. The robot 414 may have a data generation model and an emotion identification model similar to the data generation model 58 and the emotion identification model 59.

[0148] 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.

[0149] 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.

[0150] 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.

[0151] 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.

[0152] 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.

[0153] 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.

[0154] 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.

[0155] 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).

[0156] 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.

[0157] 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."

[0158] 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.

[0159] 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.

[0160] 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.

[0161] 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.

[0162] 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.

[0163] 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.

[0164] 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.

[0165] 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.

[0166] 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.

[0167] 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.

[0168] 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.

[0169] 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]

[0170] 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 acquisition unit that acquires location information in real time; an information analysis unit that analyzes crime prevention information and traffic information based on the location information acquired by the location acquisition unit; an advice generation unit that generates appropriate advice or a warning based on the information analyzed by the information analysis unit; an audio output unit that outputs the advice or warning generated by the advice generation unit by audio; A system characterized by:

2. The information analysis unit Analyzing children's past movement history, detecting specific patterns, and making predictions 2. The system of claim 1.

3. The information analysis unit Providing information about the history or culture of the places children visit, adding educational value 2. The system of claim 1.

4. The information analysis unit In addition to crime prevention information, past crime data will be analyzed to predict future risks and issue warnings.

2. The system of claim 1.

5. The advice generation unit Generate reassuring messages if a child is feeling anxious or scared 2. The system of claim 1.

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