system

Abstract

The system according to the embodiment aims to promote conversation among the elderly and to respond quickly in emergencies. [Solution] A system according to an embodiment includes an information providing unit, a conversation promoting unit, and an emergency notification unit. The information providing unit provides weather or news information. The conversation promoting unit promotes conversation with elderly people based on the information provided by the information providing unit. The emergency notification unit makes a notification in the event of an emergency.

Description

[Technical Field]

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

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

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

[0004] Conventional technology can lead to elderly people being isolated, which can delay emergency response.

[0005] The system according to the embodiment aims to promote conversation among the elderly and to respond quickly in emergencies. [Means for solving the problem]

[0006] The system according to the embodiment includes an information providing unit, a conversation promoting unit, and an emergency notification unit. The information providing unit provides weather or news information. The conversation promoting unit promotes conversation with the elderly person based on the information provided by the information providing unit. The emergency notification unit notifies the elderly person in the event of an emergency. [Effects of the Invention]

[0007] The system according to the embodiment can encourage conversation among the elderly and respond quickly in emergencies. [Brief explanation of the drawings]

[0008] [Figure 1] 1 is a conceptual diagram showing an example of the configuration of a data processing system according to a first embodiment. [Figure 2] 1 is a conceptual diagram showing an example of main functions of a data processing device and a smart device according to a first embodiment. [Figure 3] FIG. 10 is a conceptual diagram showing an example of the configuration of a data processing system according to a second embodiment. [Figure 4] FIG. 10 is a conceptual diagram showing an example of main functions of a data processing device and smart glasses according to a second embodiment. [Figure 5] FIG. 10 is a conceptual diagram showing an example of the configuration of a data processing system according to a third embodiment. [Figure 6] FIG. 11 is a conceptual diagram showing an example of main functions of a data processing device and a headset-type terminal according to a third embodiment. [Figure 7] FIG. 10 is a conceptual diagram showing an example of the configuration of a data processing system according to a fourth embodiment. [Figure 8] FIG. 10 is a conceptual diagram showing an example of main functions of a data processing device and a robot according to a fourth embodiment. [Figure 9] 1 shows an emotion map onto which multiple emotions are mapped. [Figure 10] 1 shows an emotion map onto which multiple emotions are mapped. DETAILED DESCRIPTION OF THE INVENTION

[0009] An example of an embodiment of a system according to the technology of the present disclosure will be described below with reference to the accompanying drawings.

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

[0011] In the following embodiments, a coded processor (hereinafter simply referred to as a "processor") may be a single arithmetic device or a combination of multiple arithmetic devices. Furthermore, the processor may be a single type of arithmetic device or a combination of multiple types of arithmetic devices. Examples of arithmetic devices include a CPU (Central Processing Unit), a GPU (Graphics Processing Unit), a GPGPU (General-Purpose computing on Graphics Processing Units), an APU (Accelerated Processing Unit), or a TPU (Tensor Processing Unit).

[0012] In the following embodiments, a coded RAM (Random Access Memory) is a memory in which information is temporarily stored and is used as a working memory by a processor.

[0013] In the following embodiments, the coded storage is one or more non-volatile storage devices that store various programs, various parameters, etc. Examples of non-volatile storage devices include flash memory (SSD (Solid State Drive)), magnetic disks (e.g., hard disks), and magnetic tapes.

[0014] In the following embodiments, a communication I / F (Interface) with a symbol is an interface including a communication processor, an antenna, etc. The communication I / F controls communication between multiple computers. Examples of communication standards applied to the communication I / F include wireless communication standards including 5G (5th Generation Mobile Communication System), Wi-Fi (registered trademark), and Bluetooth (registered trademark).

[0015] In the following embodiments, "A and / or B" is synonymous with "at least one of A and B." In other words, "A and / or B" means that it may be only A, only B, or a combination of A and B. Furthermore, in this specification, the same concept as "A and / or B" is also applied when three or more things are expressed connected by "and / or."

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

[0017] 1, a data processing system 10 includes a data processing device 12 and a smart device 14. An example of the data processing device 12 is a server.

[0018] The data processing device 12 includes a computer 22, a database 24, and a communication I / F 26. The computer 22 includes a processor 28, a RAM 30, and a storage 32. The processor 28, RAM 30, and storage 32 are connected to a bus 34. The database 24 and the communication I / F 26 are also connected to the bus 34. The communication I / F 26 is connected to a network 54. Examples of the network 54 include a WAN (Wide Area Network) and / or a LAN (Local Area Network).

[0019] The smart device 14 includes a computer 36, a reception device 38, an output device 40, a camera 42, and a communication I / F 44. The computer 36 includes a processor 46, a RAM 48, and a storage 50. The processor 46, the RAM 48, and the storage 50 are connected to a bus 52. The reception device 38, the output device 40, and the camera 42 are also connected to the bus 52.

[0020] The reception device 38 includes a touch panel 38A and a microphone 38B, and receives user input. The touch panel 38A detects contact with a pointer (for example, a pen or a finger) to receive user input by the touch of the pointer. The microphone 38B detects the user's voice to receive user input by voice. The control unit 46A transmits data indicating the user input received by the touch panel 38A and the microphone 38B to the data processing device 12. In the data processing device 12, the specific processing unit 290 (see FIG. 2) acquires the data indicating the user input.

[0021] Output device 40 includes a display 40A and a speaker 40B, and presents data to a user by outputting the data in a form of expression that the user can perceive (e.g., audio and / or text). Display 40A displays visible information such as text and images in accordance with instructions from processor 46. Speaker 40B outputs audio in accordance with instructions from processor 46. Camera 42 is a compact digital camera equipped with an optical system including a lens, aperture, and shutter, and an imaging element such as a CMOS (Complementary Metal-Oxide-Semiconductor) image sensor or a CCD (Charge Coupled Device) image sensor.

[0022] The communication I / F 44 is connected to a network 54. The communication I / Fs 44 and 26 control the exchange of various information between the processor 46 and the processor 28 via the network 54.

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

[0024] 2, in the data processing device 12, a specific process is performed by the processor 28. A specific processing program 56 is stored in the storage 32. The specific processing program 56 is an example of a "program" according to the technology of the present disclosure. The processor 28 reads the specific processing program 56 from the storage 32 and executes the read specific processing program 56 on the RAM 30. The specific process is realized by the processor 28 operating as a specific processing unit 290 in accordance with the specific processing program 56 executed on the RAM 30.

[0025] The storage 32 stores a data generation model 58 and an emotion identification model 59. The data generation model 58 and the emotion identification model 59 are used by the identification processing unit 290. The identification processing unit 290 can estimate a user's emotion using the emotion identification model 59 and perform identification processing using the user's emotion. The emotion estimation function (emotion identification function) using the emotion identification model 59 performs various estimations and predictions regarding the user's emotion, including estimation and prediction of the user's emotion, but is not limited to these examples. Furthermore, the estimation and prediction of emotion also includes, for example, emotion analysis.

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

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

[0028] (Example 1) The system according to an embodiment of the present invention allows elderly people to enjoy conversations and provides peace of mind to distant relatives. This system allows elderly people to ask questions about the weather, news, etc. For example, when a user asks, "What's the weather like today?", the system provides the latest weather information. The system also has a function that periodically engages in thoughtful conversations. For example, the system automatically asks questions such as, "How are you doing lately?" and "What did you do today?" Furthermore, the system can receive messages from remote relatives and check their responses. For example, if a relative sends a message such as, "Did you go to the hospital today?", the elderly person can respond to the message by voice. The relative can then remotely check the response. In the event of an emergency, the system can automatically request an emergency call. For example, if an elderly person collapses or an emergency occurs, the system automatically makes an emergency call. The system also has a function that sends a notification to family members if there is no conversation for a certain period of time. This makes it easy to check the safety of elderly people. Furthermore, the system also has a function that uses AI to analyze voices and prevent fraud and other problems. For example, if an elderly person receives a fraudulent phone call, the AI ​​will analyze the voice and issue a warning if it determines that the call may be fraudulent. This system allows elderly people to enjoy daily conversations and allows distant relatives to keep an eye on them with peace of mind.

[0029] A conversation support system according to an embodiment includes an information providing unit, a conversation promoting unit, and an emergency reporting unit. The information providing unit provides weather or news information. For example, the information providing unit can provide a local weather forecast or domestic and international news. For example, the information providing unit obtains weather data from the Internet and transmits it to the elderly to provide the latest weather information. Furthermore, the information providing unit can obtain the latest news from a news site and transmit it to the elderly to provide news information. The conversation promoting unit promotes conversation with the elderly based on the information provided by the information providing unit. For example, the conversation promoting unit can ask the elderly questions such as, "How's the weather today?" or "Is there anything in the news that you've noticed recently that concerns you?" Based on weather information, the conversation promoting unit can promote conversation such as, "It's sunny today. Are you going for a walk?" Based on news information, the conversation promoting unit can promote conversation such as, "Is there anything in the news that concerns you recently?" The emergency reporting unit reports an emergency. For example, the emergency reporting unit can automatically make an emergency report if the elderly person collapses or an emergency occurs. For example, if an elderly person collapses, the emergency notification unit calls 119. The emergency notification unit can also send a notification to family members if there has been no conversation for a certain period of time. For example, if the elderly person has not spoken for a certain period of time, the emergency notification unit can send a notification to family members by email or SMS. This allows the conversation support system according to the embodiment to allow elderly people to enjoy conversations and allow distant relatives to watch over them with peace of mind.

[0030] The conversation support system includes a message receiving unit that receives messages from relatives. The message receiving unit receives messages from relatives. For example, the message receiving unit can receive voice messages and text messages. The message receiving unit can receive voice messages sent by relatives from their smartphones or computers. The message receiving unit can also receive text messages sent by relatives. For example, if a relative sends a message such as "Did you go to the hospital today?", the message receiving unit receives the message. This allows messages from relatives to be received.

[0031] The conversation support system includes a response confirmation unit that allows a relative to confirm the elderly person's response. The response confirmation unit allows the relative to confirm the elderly person's response by voice. For example, the response confirmation unit allows the relative to confirm the content of the elderly person's voice response. For example, if the elderly person responds by voice, "I went to the hospital today," the response confirmation unit allows the relative to confirm the voice data. The response confirmation unit also allows the relative to confirm the content of the elderly person's text response. For example, if the elderly person responds by text, "I went to the hospital today," the relative can confirm the text data. This allows the relative to confirm the elderly person's response.

[0032] The conversation support system is equipped with a fraud prevention unit that uses AI to analyze voice to prevent fraud. The fraud prevention unit uses AI to analyze voice to prevent fraud. For example, the fraud prevention unit can analyze the voice of a phone call received by an elderly person and issue a warning if it determines that there is a possibility of fraud. For example, the fraud prevention unit can analyze the voice of the phone call and issue a warning that "there is a possibility of fraud." The fraud prevention unit can also analyze voice to identify fraudulent methods. For example, the AI ​​can analyze the voice of the phone call and issue a warning that "this call may be a phishing scam." This makes it possible to prevent problems such as fraud before they occur.

[0033] The information providing unit can analyze the elderly person's past question history and select an appropriate information providing method. For example, if the elderly person frequently asked about the weather in the past, the information providing unit can prioritize providing weather information. For example, if the elderly person frequently asked, "What's the weather like today?" in the past, the information providing unit can prioritize providing weather information by saying, "We'll give you the latest weather information." In addition, if the elderly person has frequently asked health-related questions in the past, the information providing unit can prioritize providing health information by saying, "We'll give you the latest health information." In addition, if the elderly person has previously asked a question about a hobby, the information providing unit can also provide the latest information related to that hobby. For example, if the elderly person previously asked, "Please tell me about your hobbies," the information providing unit can provide information related to the hobby by saying, "We'll give you the latest information about your hobbies." This makes it possible to provide information based on the elderly person's past question history.

[0034] When providing information, the information providing unit can filter the information based on the elderly person's current living situation and areas of interest. For example, if the elderly person is currently undergoing medical treatment, the information providing unit can prioritize providing health information. For example, if the information providing unit determines that the elderly person is undergoing medical treatment, it can prioritize providing health information in the form of "We will provide you with the latest health information." Furthermore, if the elderly person is planning a trip, the information providing unit can also provide travel information. For example, if the information providing unit determines that the elderly person is planning a trip, it can provide travel information in the form of "We will provide you with the latest information about your trip." Furthermore, if the elderly person has started a new hobby, the information providing unit can also provide information related to the hobby. For example, if the information providing unit determines that the elderly person has started a new hobby, it can provide information related to the hobby in the form of "We will provide you with the latest information about your new hobby." This makes it possible to provide information according to the elderly person's living situation and areas of interest.

[0035] When providing information, the information providing unit can prioritize providing highly relevant information based on the geographical location information of the elderly person. The information providing unit, for example, prioritizes providing weather information for the area where the elderly person lives. For example, the information providing unit acquires weather information for the area where the elderly person lives and provides it in the form of "Weather information for your area." The information providing unit can also provide event information for places frequently visited by the elderly person. For example, the information providing unit acquires event information for parks and facilities frequently visited by the elderly person and provides it in the form of "Weather information for parks you frequently visit." The information providing unit can also prioritize providing news for the area where the elderly person lives. For example, the information providing unit acquires news for the area where the elderly person lives and provides it in the form of "Weather information for your area." This makes it possible to provide information based on the geographical location information of the elderly person.

[0036] The information providing unit can analyze the elderly person's social media activities and provide related information when providing information. For example, the information providing unit provides information related to topics that the elderly person has shown interest in on social media. For example, if the elderly person frequently views "health information" on social media, the information providing unit can provide the information in the form of "We will provide you with the latest health information." The information providing unit can also provide the latest information on people the elderly person follows on social media. For example, the information providing unit can obtain the latest posts from celebrities and friends followed by the elderly person and provide the information in the form of "We will provide you with the latest information on the people you follow." The information providing unit can also provide activity information on groups in which the elderly person participates on social media. For example, the information providing unit can obtain the latest activity information on hobby groups in which the elderly person participates and provide the information in the form of "We will provide you with the latest activity information on the groups you participate in." This makes it possible to provide information based on the elderly person's social media activities.

[0037] When promoting a conversation, the conversation promotion unit can select optimal conversation content by referring to the elderly person's past conversation history. The conversation promotion unit, for example, re-offers topics that the elderly person has felt like talking about in the past. For example, if the elderly person has previously liked to talk about "travel," the conversation promotion unit selects conversation content such as "Let's talk about your recent trip." The conversation promotion unit can also prioritize topics that the elderly person has previously shown interest in. For example, if the elderly person has previously shown interest in "gardening," the conversation promotion unit selects conversation content such as "Let's talk about gardening." The conversation promotion unit can also avoid topics that the elderly person has previously avoided. For example, if the elderly person has previously avoided the topic of "illness," the conversation promotion unit selects conversation content such as "Let's talk about another topic." This makes it possible to select conversation content based on the elderly person's past conversation history.

[0038] When promoting a conversation, the conversation promotion unit can customize the conversation topic based on the elderly person's current living situation. For example, if the elderly person is currently recovering from an illness, the conversation promotion unit provides a health-related topic. For example, if the conversation promotion unit determines that the elderly person is recovering from an illness, it customizes the conversation topic to say, "Let's talk about health-related topics." The conversation promotion unit can also provide a travel-related topic if the elderly person is planning a trip. For example, if the conversation promotion unit determines that the elderly person is planning a trip, it customizes the conversation topic to say, "Let's talk about travel-related topics." The conversation promotion unit can also provide a topic related to a new hobby if the elderly person has started a new hobby. For example, if the conversation promotion unit determines that the elderly person has started a new hobby, it customizes the conversation topic to say, "Let's talk about your new hobby." This makes it possible to customize the conversation topic according to the elderly person's living situation.

[0039] When promoting a conversation, the conversation promotion unit can select optimal conversation content by taking into consideration the geographical location information of the elderly person. The conversation promotion unit, for example, provides topics related to the weather and news in the area where the elderly person lives. For example, the conversation promotion unit obtains weather information in the area where the elderly person lives and selects conversation content in the form of, "Let's talk about the weather in your area." The conversation promotion unit can also provide topics related to places frequently visited by the elderly person. For example, the conversation promotion unit obtains information about parks and facilities frequently visited by the elderly person and selects conversation content in the form of, "Let's talk about the parks you often visit." The conversation promotion unit can also provide event information in the area where the elderly person lives. For example, the conversation promotion unit obtains event information in the area where the elderly person lives and selects conversation content in the form of, "Let's talk about events in your area." This makes it possible to select conversation content based on the geographical location information of the elderly person.

[0040] The conversation promotion unit can analyze the elderly person's social media activities and provide related conversation content when promoting conversation. For example, the conversation promotion unit can provide conversation related to topics that the elderly person has shown interest in on social media. For example, if the elderly person frequently views "health information" on social media, the conversation promotion unit can provide conversation content in the form of "Let's talk about health." The conversation promotion unit can also provide the latest information on people the elderly person follows on social media. For example, the conversation promotion unit can obtain the latest posts from celebrities and friends followed by the elderly person and provide conversation content in the form of "Let's talk about the latest updates from the people you follow." The conversation promotion unit can also provide activity information on groups in which the elderly person participates on social media. For example, the conversation promotion unit can obtain the latest activity information from hobby groups in which the elderly person participates and provide conversation content in the form of "Let's talk about the latest activities of the groups you participate in." This makes it possible to provide conversation content based on the elderly person's social media activities.

[0041] When making an emergency call, the emergency call unit can select the optimal call method by referring to the elderly person's past health history. For example, if the elderly person has suffered from heart disease in the past, the emergency call unit provides a call method specialized for heart disease. For example, if the emergency call unit determines that the elderly person has suffered from heart disease in the past, it selects a call method such as "We will make a call specialized for heart disease." In addition, if the elderly person has experienced a fall in the past, the emergency call unit can also provide a call method specialized for falls. For example, if the emergency call unit determines that the elderly person has experienced a fall in the past, it selects a call method such as "We will make a call specialized for falls." In addition, if the elderly person has experienced respiratory problems in the past, it can also provide a call method specialized for the respiratory system. For example, if the emergency call unit determines that the elderly person has experienced respiratory problems in the past, it selects a call method such as "We will make a call specialized for the respiratory system." This makes it possible to select an emergency call method based on the elderly person's past health history.

[0042] The emergency notification unit can customize the notification method based on the elderly person's current living situation when making an emergency call. For example, if the elderly person lives alone, the emergency notification unit quickly notifies family members and emergency services. For example, if the emergency notification unit determines that the elderly person lives alone, it customizes the notification method to "quickly notify family members and emergency services." In addition, if the elderly person is in a nursing home, the emergency notification unit can also notify facility staff. For example, if the emergency notification unit determines that the elderly person is in a nursing home, it customizes the notification method to "notify facility staff." In addition, if the elderly person is out, the emergency notification unit can also make a report including the elderly person's current location. For example, if the emergency notification unit determines that the elderly person is out, it customizes the notification method to "make a report including the elderly person's current location." This makes it possible to customize the emergency notification method according to the elderly person's living situation.

[0043] When making an emergency call, the emergency call unit can select the optimal call method taking into account the geographical location information of the elderly person. For example, if the elderly person is at home, the emergency call unit makes a call including the elderly person's home address. For example, if the emergency call unit determines that the elderly person is at home, it selects a call method such as "make a call including the elderly person's home address." In addition, if the elderly person is out, the emergency call unit can also make a call including the elderly person's current location. For example, if the emergency call unit determines that the elderly person is out, it selects a call method such as "make a call including the elderly person's current location." In addition, if the elderly person is traveling, the emergency call unit can also make a call to the emergency service in the elderly person's destination. For example, if the emergency call unit determines that the elderly person is traveling, it selects a call method such as "make a call to the emergency service in the elderly person's destination." This makes it possible to select an emergency call method based on the elderly person's geographical location information.

[0044] The emergency notification unit can analyze the elderly person's social media activity and suggest relevant notification methods when making an emergency call. For example, if an elderly person reports an emergency on social media, the emergency notification unit makes a call based on that information. For example, if an elderly person reports "an emergency has occurred" on social media, the emergency notification unit suggests a notification method by saying, "We will make a call based on that information." In addition, if an elderly person shares location information on social media, the emergency notification unit can also make a call based on that information. For example, if an elderly person shares location information on social media, the emergency notification unit suggests a notification method by saying, "We will make a call based on that information." In addition, if an elderly person reports their health condition on social media, the emergency notification unit can also make a call based on that information. For example, if an elderly person reports "my health condition has worsened" on social media, the emergency notification unit suggests a notification method by saying, "We will make a call based on that information." This makes it possible to suggest notification methods based on the elderly person's social media activity.

[0045] When receiving a message, the message receiving unit can select the optimal message receiving method by referring to the elderly person's past message history. For example, if the elderly person has received messages by voice in the past, the message receiving unit receives the message by voice. For example, if the message receiving unit determines that the elderly person has received messages by voice in the past, it selects a message receiving method such as "I will receive a message by voice." In addition, if the elderly person has received messages by text in the past, the message receiving unit can also receive the message by text. For example, if the message receiving unit determines that the elderly person has received messages by text in the past, it selects a message receiving method such as "I will receive a message by text." In addition, if the elderly person has received messages by video message in the past, the message receiving unit can also receive the message by video message. For example, if the message receiving unit determines that the elderly person has received messages by video message in the past, it selects a message receiving method such as "I will receive a message by video message." This makes it possible to select a message receiving method based on the elderly person's past message history.

[0046] When receiving a message, the message receiving unit can select the optimal receiving method by taking into consideration the geographical location information of the elderly person. For example, if the elderly person is at home, the message receiving unit provides a method for receiving the message at home. For example, if the message receiving unit determines that the elderly person is at home, it selects a receiving method such as "We will provide a method for receiving the message at home." In addition, if the elderly person is out, the message receiving unit can also provide a method for receiving the message via a mobile device. For example, if the message receiving unit determines that the elderly person is out, it selects a receiving method such as "We will provide a method for receiving the message via a mobile device." In addition, if the elderly person is traveling, the message receiving unit can also provide a method for receiving the message at their travel destination. For example, if the message receiving unit determines that the elderly person is traveling, it selects a receiving method such as "We will provide a method for receiving the message at their travel destination." This makes it possible to select a receiving method based on the geographical location information of the elderly person.

[0047] When confirming a response, the response confirmation unit can select the optimal confirmation method by referring to the elderly person's past response history. For example, if the elderly person has confirmed a response by voice in the past, the response confirmation unit confirms the response by voice. For example, if the response confirmation unit determines that the elderly person has confirmed a response by voice in the past, it selects a confirmation method such as "confirm the response by voice." Furthermore, if the elderly person has confirmed a response by text in the past, the response confirmation unit can also confirm the response by text. For example, if the response confirmation unit determines that the elderly person has confirmed a response by text in the past, it selects a confirmation method such as "confirm the response by text." Furthermore, if the elderly person has confirmed a response by video message in the past, the response confirmation unit can also confirm the response by video message. For example, if the response confirmation unit determines that the elderly person has confirmed a response by video message in the past, it selects a confirmation method such as "confirm the response by video message." This makes it possible to select a confirmation method based on the elderly person's past response history.

[0048] The response confirmation unit can select the optimal confirmation method by taking into consideration the geographical location information of the elderly person when confirming the response. For example, if the elderly person is at home, the response confirmation unit provides a method for checking the response at home. For example, if the response confirmation unit determines that the elderly person is at home, it selects a confirmation method such as "Check the response at home." In addition, if the elderly person is out, the response confirmation unit can also provide a method for checking the response on a mobile device. For example, if the response confirmation unit determines that the elderly person is out, it selects a confirmation method such as "Check the response on a mobile device." In addition, if the elderly person is traveling, the response confirmation unit can also provide a method for checking the response at the travel destination. For example, if the response confirmation unit determines that the elderly person is traveling, it selects a confirmation method such as "Check the response at the travel destination." This makes it possible to select a confirmation method based on the geographical location information of the elderly person.

[0049] When preventing fraud, the fraud prevention unit can select the optimal prevention method by referring to the elderly person's past fraud victim history. For example, if the elderly person has fallen victim to telephone fraud in the past, the fraud prevention unit provides a prevention method specialized for telephone fraud. For example, if the fraud prevention unit determines that the elderly person has fallen victim to telephone fraud in the past, it selects a prevention method in the form of "We provide a prevention method specialized for telephone fraud." In addition, the fraud prevention unit can also provide a prevention method specialized for internet fraud in the past if the elderly person has fallen victim to internet fraud in the past. For example, if the fraud prevention unit determines that the elderly person has fallen victim to internet fraud in the past, it selects a prevention method in the form of "We provide a prevention method specialized for internet fraud." In addition, the fraud prevention unit can also provide a prevention method specialized for door-to-door sales fraud in the past if the elderly person has fallen victim to door-to-door sales fraud in the past. For example, if the fraud prevention unit determines that the elderly person has fallen victim to door-to-door sales fraud in the past, it selects a prevention method in the form of "We provide a prevention method specialized for door-to-door sales fraud." This makes it possible to select a prevention method based on the elderly person's past fraud victim history.

[0050] The fraud prevention unit can customize fraud prevention measures based on the elderly person's current living situation when preventing fraud. For example, if the elderly person lives alone, the fraud prevention unit strengthens prevention measures against telephone and door-to-door sales. For example, if the fraud prevention unit determines that the elderly person lives alone, it customizes the prevention measures in the form of "We will strengthen prevention measures against telephone and door-to-door sales." In addition, if the elderly person is in a nursing home, the fraud prevention unit can also provide prevention measures in cooperation with the facility staff. For example, if the fraud prevention unit determines that the elderly person is in a nursing home, it customizes the prevention measures in the form of "We will work with the facility staff to provide prevention measures." In addition, if the elderly person is out, the fraud prevention unit can also provide fraud prevention measures while the elderly person is out. For example, if the fraud prevention unit determines that the elderly person is out, it customizes the prevention measures in the form of "We will provide fraud prevention measures while the elderly person is out." This makes it possible to customize fraud prevention measures according to the elderly person's living situation.

[0051] The fraud prevention unit can select the optimal fraud prevention method by taking into consideration the geographical location information of the elderly person when preventing fraud. For example, if the elderly person is at home, the fraud prevention unit provides fraud prevention measures at home. For example, if the fraud prevention unit determines that the elderly person is at home, it selects a prevention method in the form of "We will provide fraud prevention measures at home." In addition, if the elderly person is out, the fraud prevention unit can also provide fraud prevention measures while away from home. For example, if the fraud prevention unit determines that the elderly person is out, it selects a prevention method in the form of "We will provide fraud prevention measures while away from home." In addition, if the elderly person is traveling, the fraud prevention unit can also provide fraud prevention measures at the travel destination. For example, if the fraud prevention unit determines that the elderly person is traveling, it selects a prevention method in the form of "We will provide fraud prevention measures at the travel destination." This makes it possible to select a fraud prevention method based on the geographical location information of the elderly person.

[0052] The fraud prevention unit can analyze the social media activity of an elderly person and suggest relevant prevention measures when preventing fraud. For example, if an elderly person receives a potentially fraudulent message on social media, the fraud prevention unit provides prevention measures based on that information. For example, if the fraud prevention unit determines that an elderly person has received a "potentially fraudulent message" on social media, it suggests prevention measures by saying, "We will provide you with prevention measures based on that information." In addition, if an elderly person shares location information on social media, the fraud prevention unit can also provide prevention measures based on that information. For example, if the fraud prevention unit determines that an elderly person has shared location information on social media, it can suggest prevention measures by saying, "We will provide you with prevention measures based on that information." In addition, if an elderly person reports their health condition on social media, the fraud prevention unit can also provide prevention measures based on that information. For example, if an elderly person reports that their health condition has worsened on social media, the fraud prevention unit can suggest prevention measures by saying, "We will provide you with prevention measures based on that information." This makes it possible to suggest prevention measures based on the elderly person's social media activity.

[0053] The system according to the embodiment is not limited to the above-described example, and various modifications are possible, for example, as follows.

[0054] The conversation support system can further include a health monitoring unit that monitors the health condition of the elderly person. The health monitoring unit periodically measures the elderly person's vital signs, such as heart rate, blood pressure, and body temperature, and can notify the emergency notification unit if an abnormality is detected. For example, if the elderly person's heart rate is abnormally high, the health monitoring unit can notify the emergency notification unit by saying, "Your heart rate is high. We will make an emergency call." If the elderly person's blood pressure is abnormally low, the health monitoring unit can also notify the emergency notification unit by saying, "Your blood pressure is low. We will make an emergency call." If the elderly person's body temperature is abnormally high, the health monitoring unit can also notify the emergency notification unit by saying, "Your body temperature is high. We will make an emergency call." This enables the elderly person's health condition to be monitored in real time, enabling prompt response.

[0055] The conversation support system can further include a hobby providing unit that provides customized content based on the hobbies and interests of the elderly person. The hobby providing unit analyzes the hobbies and interests that the elderly person has enjoyed in the past and provides related content based on the results. For example, if the elderly person is interested in gardening, the hobby providing unit can provide information in the form of "We will provide you with the latest gardening information." If the elderly person is interested in music, the hobby providing unit can provide information in the form of "We will provide you with the latest music information." If the elderly person is interested in travel, the hobby providing unit can provide information in the form of "We will provide you with the latest travel information." This makes it possible to provide information tailored to the hobbies and interests of the elderly person.

[0056] The conversation support system can further include a diet management unit that supports the elderly person's dietary management. The diet management unit can record the elderly person's dietary content and analyze nutritional balance. For example, the diet management unit can record the content of the meals eaten by the elderly person and provide feedback in the form of, "Today's meal is well-balanced in nutrition." If the elderly person is consuming too much of a certain nutrient, the diet management unit can provide advice in the form of, "Your salt intake is high. Please be careful." If the elderly person is not consuming enough of a certain nutrient, the diet management unit can provide advice in the form of, "Your vitamin C intake is low. Please replenish it." This can support the elderly person's healthy eating habits.

[0057] The conversation support system can further include an exercise support unit that supports the elderly person's exercise. The exercise support unit can record the elderly person's exercise history and suggest an appropriate exercise plan. For example, the exercise support unit can record the elderly person's past exercise history and suggest an exercise plan in the form of "Walk for 30 minutes today." The exercise support unit can also provide the elderly person with tips to be careful about when performing a specific exercise. For example, the exercise support unit can provide advice in the form of "Wear appropriate shoes when walking." Furthermore, the exercise support unit can provide feedback to the elderly person after they have exercised. For example, the exercise support unit can provide feedback in the form of "Today's exercise was effective. Please continue." This can support the elderly person's healthy exercise habits.

[0058] The conversation support system may further include a sleep monitoring unit that monitors the sleep of the elderly person. The sleep monitoring unit may record the elderly person's sleep patterns and analyze the quality of their sleep. For example, the sleep monitoring unit may record the elderly person's sleep duration and sleep depth and provide feedback in the form of, "You slept well last night." If the elderly person has not slept enough, the sleep monitoring unit may provide advice in the form of, "You did not get enough sleep last night. Please get some rest early." Furthermore, the sleep monitoring unit may make suggestions to improve the quality of the elderly person's sleep. For example, the sleep monitoring unit may provide advice in the form of, "Listen to relaxing music before going to bed." This may support healthy sleep habits for the elderly person.

[0059] The processing flow of the first embodiment will be briefly explained below.

[0060] Step 1: The information provider provides weather or news information. For example, the information provider can provide local weather forecasts or domestic and international news. The information provider obtains weather data and news from the Internet and conveys them to the elderly. Step 2: The conversation promotion unit promotes conversation with the elderly based on the information provided by the information provision unit. For example, it can ask questions such as "How's the weather today?" or "Is there anything in the news recently that you're concerned about?". It can also promote conversations based on weather information, such as "It's sunny today. Would you like to go for a walk?" Step 3: The emergency notification unit will notify the emergency. For example, if an elderly person collapses or an emergency occurs, it will automatically call 119. It can also notify family members by email or SMS if there is no communication for a certain period of time.

[0061] (Example 2) The system according to an embodiment of the present invention allows elderly people to enjoy conversations and provides peace of mind to distant relatives. This system allows elderly people to ask questions about the weather, news, etc. For example, when a user asks, "What's the weather like today?", the system provides the latest weather information. The system also has a function that periodically engages in thoughtful conversations. For example, the system automatically asks questions such as, "How are you doing lately?" and "What did you do today?" Furthermore, the system can receive messages from remote relatives and check their responses. For example, if a relative sends a message such as, "Did you go to the hospital today?", the elderly person can respond to the message by voice. The relative can then remotely check the response. In the event of an emergency, the system can automatically request an emergency call. For example, if an elderly person collapses or an emergency occurs, the system automatically makes an emergency call. The system also has a function that sends a notification to family members if there is no conversation for a certain period of time. This makes it easy to check the safety of elderly people. Furthermore, the system also has a function that uses AI to analyze voices and prevent fraud and other problems. For example, if an elderly person receives a fraudulent phone call, the AI ​​will analyze the voice and issue a warning if it determines that the call may be fraudulent. This system allows elderly people to enjoy daily conversations and allows distant relatives to keep an eye on them with peace of mind.

[0062] A conversation support system according to an embodiment includes an information providing unit, a conversation promoting unit, and an emergency reporting unit. The information providing unit provides weather or news information. For example, the information providing unit can provide a local weather forecast or domestic and international news. For example, the information providing unit obtains weather data from the Internet and transmits it to the elderly to provide the latest weather information. Furthermore, the information providing unit can obtain the latest news from a news site and transmit it to the elderly to provide news information. The conversation promoting unit promotes conversation with the elderly based on the information provided by the information providing unit. For example, the conversation promoting unit can ask the elderly questions such as, "How's the weather today?" or "Is there anything in the news that you've noticed recently that concerns you?" Based on weather information, the conversation promoting unit can promote conversation such as, "It's sunny today. Are you going for a walk?" Based on news information, the conversation promoting unit can promote conversation such as, "Is there anything in the news that concerns you recently?" The emergency reporting unit reports an emergency. For example, the emergency reporting unit can automatically make an emergency report if the elderly person collapses or an emergency occurs. For example, if an elderly person collapses, the emergency notification unit calls 119. The emergency notification unit can also send a notification to family members if there has been no conversation for a certain period of time. For example, if the elderly person has not spoken for a certain period of time, the emergency notification unit can send a notification to family members by email or SMS. This allows the conversation support system according to the embodiment to allow elderly people to enjoy conversations and allow distant relatives to watch over them with peace of mind.

[0063] The conversation support system includes a message receiving unit that receives messages from relatives. The message receiving unit receives messages from relatives. For example, the message receiving unit can receive voice messages and text messages. The message receiving unit can receive voice messages sent by relatives from their smartphones or computers. The message receiving unit can also receive text messages sent by relatives. For example, if a relative sends a message such as "Did you go to the hospital today?", the message receiving unit receives the message. This allows messages from relatives to be received.

[0064] The conversation support system includes a response confirmation unit that allows a relative to confirm the elderly person's response. The response confirmation unit allows the relative to confirm the elderly person's response by voice. For example, the response confirmation unit allows the relative to confirm the content of the elderly person's voice response. For example, if the elderly person responds by voice, "I went to the hospital today," the response confirmation unit allows the relative to confirm the voice data. The response confirmation unit also allows the relative to confirm the content of the elderly person's text response. For example, if the elderly person responds by text, "I went to the hospital today," the relative can confirm the text data. This allows the relative to confirm the elderly person's response.

[0065] The conversation support system is equipped with a fraud prevention unit that uses AI to analyze voice to prevent fraud. The fraud prevention unit uses AI to analyze voice to prevent fraud. For example, the fraud prevention unit can analyze the voice of a phone call received by an elderly person and issue a warning if it determines that there is a possibility of fraud. For example, the fraud prevention unit can analyze the voice of the phone call and issue a warning that "there is a possibility of fraud." The fraud prevention unit can also analyze voice to identify fraudulent methods. For example, the AI ​​can analyze the voice of the phone call and issue a warning that "this call may be a phishing scam." This makes it possible to prevent problems such as fraud before they occur.

[0066] The information providing unit can estimate the elderly person's emotions and adjust the type of information to be provided based on the estimated elderly person's emotions. For example, if the elderly person is sad, the information providing unit can provide happy news or positive topics. For example, if the information providing unit estimates that the elderly person is sad, it can provide positive information in the form of "I'll tell you about some recent happy news." In addition, if the elderly person is excited, the information providing unit can also provide relaxing music or calm topics. For example, if the information providing unit estimates that the elderly person is excited, it can provide calming information in the form of "Listen to some relaxing music." In addition, if the elderly person is feeling lonely, the information providing unit can also provide updates on close friends and stories of memories. For example, if the information providing unit estimates that the elderly person is feeling lonely, it can provide information on close friends in the form of "I'll tell you about the recent updates on close friends." This makes it possible to provide information according to the elderly person's emotions.

[0067] The information providing unit can analyze the elderly person's past question history and select an appropriate information providing method. For example, if the elderly person frequently asked about the weather in the past, the information providing unit can prioritize providing weather information. For example, if the elderly person frequently asked, "What's the weather like today?" in the past, the information providing unit can prioritize providing weather information by saying, "We'll give you the latest weather information." In addition, if the elderly person has frequently asked health-related questions in the past, the information providing unit can prioritize providing health information by saying, "We'll give you the latest health information." In addition, if the elderly person has previously asked a question about a hobby, the information providing unit can also provide the latest information related to that hobby. For example, if the elderly person previously asked, "Please tell me about your hobbies," the information providing unit can provide information related to the hobby by saying, "We'll give you the latest information about your hobbies." This makes it possible to provide information based on the elderly person's past question history.

[0068] When providing information, the information providing unit can filter the information based on the elderly person's current living situation and areas of interest. For example, if the elderly person is currently undergoing medical treatment, the information providing unit can prioritize providing health information. For example, if the information providing unit determines that the elderly person is undergoing medical treatment, it can prioritize providing health information in the form of "We will provide you with the latest health information." Furthermore, if the elderly person is planning a trip, the information providing unit can also provide travel information. For example, if the information providing unit determines that the elderly person is planning a trip, it can provide travel information in the form of "We will provide you with the latest information about your trip." Furthermore, if the elderly person has started a new hobby, the information providing unit can also provide information related to the hobby. For example, if the information providing unit determines that the elderly person has started a new hobby, it can provide information related to the hobby in the form of "We will provide you with the latest information about your new hobby." This makes it possible to provide information according to the elderly person's living situation and areas of interest.

[0069] The information providing unit can estimate the emotions of the elderly person and adjust the timing of providing information based on the estimated emotions of the elderly person. For example, if the information providing unit estimates that the elderly person is relaxed, it provides information at a slow pace. For example, if the information providing unit estimates that the elderly person is relaxed, it provides information in the form of "I will talk to you slowly." Furthermore, if the elderly person is busy, the information providing unit can provide short, to-the-point information. For example, if the information providing unit estimates that the elderly person is busy, it provides information in the form of "I will give you the main points briefly." Furthermore, if the elderly person is feeling anxious, the information providing unit can provide information that gives a sense of security. For example, if the information providing unit estimates that the elderly person is feeling anxious, it provides information in the form of "I will provide you with reassuring information." This makes it possible to adjust the timing of providing information according to the emotions of the elderly person.

[0070] When providing information, the information providing unit can prioritize providing highly relevant information based on the geographical location information of the elderly person. The information providing unit, for example, prioritizes providing weather information for the area where the elderly person lives. For example, the information providing unit acquires weather information for the area where the elderly person lives and provides it in the form of "Weather information for your area." The information providing unit can also provide event information for places frequently visited by the elderly person. For example, the information providing unit acquires event information for parks and facilities frequently visited by the elderly person and provides it in the form of "Weather information for parks you frequently visit." The information providing unit can also prioritize providing news for the area where the elderly person lives. For example, the information providing unit acquires news for the area where the elderly person lives and provides it in the form of "Weather information for your area." This makes it possible to provide information based on the geographical location information of the elderly person.

[0071] The information providing unit can analyze the elderly person's social media activities and provide related information when providing information. For example, the information providing unit provides information related to topics that the elderly person has shown interest in on social media. For example, if the elderly person frequently views "health information" on social media, the information providing unit can provide the information in the form of "We will provide you with the latest health information." The information providing unit can also provide the latest information on people the elderly person follows on social media. For example, the information providing unit can obtain the latest posts from celebrities and friends followed by the elderly person and provide the information in the form of "We will provide you with the latest information on the people you follow." The information providing unit can also provide activity information on groups in which the elderly person participates on social media. For example, the information providing unit can obtain the latest activity information on hobby groups in which the elderly person participates and provide the information in the form of "We will provide you with the latest activity information on the groups you participate in." This makes it possible to provide information based on the elderly person's social media activities.

[0072] The conversation promotion unit can estimate the elderly person's emotions and adjust the content of the conversation based on the estimated elderly person's emotions. For example, if the elderly person is sad, the conversation promotion unit can provide words of encouragement or a fun topic. For example, if the conversation promotion unit estimates that the elderly person is sad, it can adjust the conversation in a way that says, "Cheer up. Let's talk about some fun things that have happened to you recently." The conversation promotion unit can also provide a relaxing topic if the elderly person is excited. For example, if the conversation promotion unit estimates that the elderly person is excited, it can adjust the conversation in a way that says, "Let's talk about some relaxing topics." The conversation promotion unit can also provide updates on the lives of close friends and stories of memories if the elderly person is feeling lonely. For example, if the conversation promotion unit estimates that the elderly person is feeling lonely, it can adjust the conversation in a way that says, "Let's talk about some recent updates on the lives of close friends." This makes it possible to adjust the content of the conversation according to the elderly person's emotions.

[0073] When promoting a conversation, the conversation promotion unit can select optimal conversation content by referring to the elderly person's past conversation history. The conversation promotion unit, for example, re-offers topics that the elderly person has felt like talking about in the past. For example, if the elderly person has previously liked to talk about "travel," the conversation promotion unit selects conversation content such as "Let's talk about your recent trip." The conversation promotion unit can also prioritize topics that the elderly person has previously shown interest in. For example, if the elderly person has previously shown interest in "gardening," the conversation promotion unit selects conversation content such as "Let's talk about gardening." The conversation promotion unit can also avoid topics that the elderly person has previously avoided. For example, if the elderly person has previously avoided the topic of "illness," the conversation promotion unit selects conversation content such as "Let's talk about another topic." This makes it possible to select conversation content based on the elderly person's past conversation history.

[0074] When promoting a conversation, the conversation promotion unit can customize the conversation topic based on the elderly person's current living situation. For example, if the elderly person is currently recovering from an illness, the conversation promotion unit provides a health-related topic. For example, if the conversation promotion unit determines that the elderly person is recovering from an illness, it customizes the conversation topic to say, "Let's talk about health-related topics." The conversation promotion unit can also provide a travel-related topic if the elderly person is planning a trip. For example, if the conversation promotion unit determines that the elderly person is planning a trip, it customizes the conversation topic to say, "Let's talk about travel-related topics." The conversation promotion unit can also provide a topic related to a new hobby if the elderly person has started a new hobby. For example, if the conversation promotion unit determines that the elderly person has started a new hobby, it customizes the conversation topic to say, "Let's talk about your new hobby." This makes it possible to customize the conversation topic according to the elderly person's living situation.

[0075] The conversation promotion unit can estimate the elderly person's emotions and adjust the frequency of conversation based on the estimated elderly person's emotions. For example, if the elderly person feels lonely, the conversation promotion unit provides frequent conversation. For example, if the conversation promotion unit estimates that the elderly person feels lonely, it adjusts the frequency of conversation by saying, "Let's talk frequently." The conversation promotion unit can also reduce the frequency of conversation if the elderly person is busy. For example, if the conversation promotion unit estimates that the elderly person is busy, it adjusts the frequency of conversation by saying, "Let's talk when necessary." The conversation promotion unit can also provide conversation at an appropriate frequency if the elderly person is relaxed. For example, if the conversation promotion unit estimates that the elderly person is relaxed, it adjusts the frequency of conversation by saying, "Let's talk at an appropriate frequency." This makes it possible to adjust the frequency of conversation according to the elderly person's emotions.

[0076] When promoting a conversation, the conversation promotion unit can select optimal conversation content by taking into consideration the geographical location information of the elderly person. The conversation promotion unit, for example, provides topics related to the weather and news in the area where the elderly person lives. For example, the conversation promotion unit obtains weather information in the area where the elderly person lives and selects conversation content in the form of, "Let's talk about the weather in your area." The conversation promotion unit can also provide topics related to places frequently visited by the elderly person. For example, the conversation promotion unit obtains information about parks and facilities frequently visited by the elderly person and selects conversation content in the form of, "Let's talk about the parks you often visit." The conversation promotion unit can also provide event information in the area where the elderly person lives. For example, the conversation promotion unit obtains event information in the area where the elderly person lives and selects conversation content in the form of, "Let's talk about events in your area." This makes it possible to select conversation content based on the geographical location information of the elderly person.

[0077] The conversation promotion unit can analyze the elderly person's social media activities and provide related conversation content when promoting conversation. For example, the conversation promotion unit can provide conversation related to topics that the elderly person has shown interest in on social media. For example, if the elderly person frequently views "health information" on social media, the conversation promotion unit can provide conversation content in the form of "Let's talk about health." The conversation promotion unit can also provide the latest information on people the elderly person follows on social media. For example, the conversation promotion unit can obtain the latest posts from celebrities and friends followed by the elderly person and provide conversation content in the form of "Let's talk about the latest updates from the people you follow." The conversation promotion unit can also provide activity information on groups in which the elderly person participates on social media. For example, the conversation promotion unit can obtain the latest activity information from hobby groups in which the elderly person participates and provide conversation content in the form of "Let's talk about the latest activities of the groups you participate in." This makes it possible to provide conversation content based on the elderly person's social media activities.

[0078] The emergency notification unit can estimate the emotions of the elderly person and adjust the emergency notification method based on the estimated emotions of the elderly person. For example, if the elderly person is in a panicked state, the emergency notification unit provides a quick and concise notification method. For example, if the emergency notification unit estimates that the elderly person is in a panicked state, it adjusts the notification method to, for example, "We will make a quick notification." Furthermore, if the elderly person is calm, the emergency notification unit can also provide a notification method that includes detailed information. For example, if the emergency notification unit estimates that the elderly person is calm, it adjusts the notification method to, for example, "We will make a notification that includes detailed information." Furthermore, if the elderly person is feeling anxious, the emergency notification unit can also provide a notification method that provides a sense of security. For example, if the emergency notification unit estimates that the elderly person is feeling anxious, it adjusts the notification method to, for example, "We will make a notification that provides a sense of security." This makes it possible to adjust the emergency notification method according to the emotions of the elderly person.

[0079] When making an emergency call, the emergency call unit can select the optimal call method by referring to the elderly person's past health history. For example, if the elderly person has suffered from heart disease in the past, the emergency call unit provides a call method specialized for heart disease. For example, if the emergency call unit determines that the elderly person has suffered from heart disease in the past, it selects a call method such as "We will make a call specialized for heart disease." In addition, if the elderly person has experienced a fall in the past, the emergency call unit can also provide a call method specialized for falls. For example, if the emergency call unit determines that the elderly person has experienced a fall in the past, it selects a call method such as "We will make a call specialized for falls." In addition, if the elderly person has experienced respiratory problems in the past, it can also provide a call method specialized for the respiratory system. For example, if the emergency call unit determines that the elderly person has experienced respiratory problems in the past, it selects a call method such as "We will make a call specialized for the respiratory system." This makes it possible to select an emergency call method based on the elderly person's past health history.

[0080] The emergency notification unit can customize the notification method based on the elderly person's current living situation when making an emergency call. For example, if the elderly person lives alone, the emergency notification unit quickly notifies family members and emergency services. For example, if the emergency notification unit determines that the elderly person lives alone, it customizes the notification method to "quickly notify family members and emergency services." In addition, if the elderly person is in a nursing home, the emergency notification unit can also notify facility staff. For example, if the emergency notification unit determines that the elderly person is in a nursing home, it customizes the notification method to "notify facility staff." In addition, if the elderly person is out, the emergency notification unit can also make a report including the elderly person's current location. For example, if the emergency notification unit determines that the elderly person is out, it customizes the notification method to "make a report including the elderly person's current location." This makes it possible to customize the emergency notification method according to the elderly person's living situation.

[0081] The emergency call unit can estimate the emotions of the elderly person and determine the priority of the emergency call based on the estimated emotions of the elderly person. For example, if the elderly person is in a panicked state, the emergency call unit makes the call with the highest priority. For example, if the emergency call unit estimates that the elderly person is in a panicked state, it determines the priority of the call by saying, "We will make the call with the highest priority." Furthermore, if the elderly person is calm, the emergency call unit can also make the call with a priority according to the situation. For example, if the emergency call unit estimates that the elderly person is calm, it determines the priority of the call by saying, "We will make the call with a priority according to the situation." Furthermore, if the elderly person is feeling anxious, the emergency call unit can also make the call quickly. For example, if the emergency call unit estimates that the elderly person is feeling anxious, it determines the priority of the call by saying, "We will make the call quickly." This makes it possible to determine the priority of the emergency call according to the emotions of the elderly person.

[0082] When making an emergency call, the emergency call unit can select the optimal call method taking into account the geographical location information of the elderly person. For example, if the elderly person is at home, the emergency call unit makes a call including the elderly person's home address. For example, if the emergency call unit determines that the elderly person is at home, it selects a call method such as "make a call including the elderly person's home address." In addition, if the elderly person is out, the emergency call unit can also make a call including the elderly person's current location. For example, if the emergency call unit determines that the elderly person is out, it selects a call method such as "make a call including the elderly person's current location." In addition, if the elderly person is traveling, the emergency call unit can also make a call to the emergency service in the elderly person's destination. For example, if the emergency call unit determines that the elderly person is traveling, it selects a call method such as "make a call to the emergency service in the elderly person's destination." This makes it possible to select an emergency call method based on the elderly person's geographical location information.

[0083] The emergency notification unit can analyze the elderly person's social media activity and suggest relevant notification methods when making an emergency call. For example, if an elderly person reports an emergency on social media, the emergency notification unit makes a call based on that information. For example, if an elderly person reports "an emergency has occurred" on social media, the emergency notification unit suggests a notification method by saying, "We will make a call based on that information." In addition, if an elderly person shares location information on social media, the emergency notification unit can also make a call based on that information. For example, if an elderly person shares location information on social media, the emergency notification unit suggests a notification method by saying, "We will make a call based on that information." In addition, if an elderly person reports their health condition on social media, the emergency notification unit can also make a call based on that information. For example, if an elderly person reports "my health condition has worsened" on social media, the emergency notification unit suggests a notification method by saying, "We will make a call based on that information." This makes it possible to suggest notification methods based on the elderly person's social media activity.

[0084] The message receiving unit can estimate the emotions of the elderly person and adjust the method of receiving messages based on the estimated emotions of the elderly person. For example, if the elderly person is relaxed, the message receiving unit receives the message by voice. For example, if the message receiving unit estimates that the elderly person is relaxed, it adjusts the method of receiving messages, such as "You will receive a message by voice." Furthermore, if the elderly person is busy, the message receiving unit can also receive the message by text. For example, if the message receiving unit estimates that the elderly person is busy, it adjusts the method of receiving messages, such as "You will receive a message by text." Furthermore, if the elderly person is feeling anxious, the message receiving unit can also receive the message in a way that gives a sense of security. For example, if the message receiving unit estimates that the elderly person is feeling anxious, it adjusts the method of receiving messages, such as "You will receive a message in a way that gives a sense of security." This makes it possible to adjust the method of receiving messages according to the emotions of the elderly person.

[0085] When receiving a message, the message receiving unit can select the optimal message receiving method by referring to the elderly person's past message history. For example, if the elderly person has received messages by voice in the past, the message receiving unit receives the message by voice. For example, if the message receiving unit determines that the elderly person has received messages by voice in the past, it selects a message receiving method such as "I will receive a message by voice." In addition, if the elderly person has received messages by text in the past, the message receiving unit can also receive the message by text. For example, if the message receiving unit determines that the elderly person has received messages by text in the past, it selects a message receiving method such as "I will receive a message by text." In addition, if the elderly person has received messages by video message in the past, the message receiving unit can also receive the message by video message. For example, if the message receiving unit determines that the elderly person has received messages by video message in the past, it selects a message receiving method such as "I will receive a message by video message." This makes it possible to select a message receiving method based on the elderly person's past message history.

[0086] The message receiving unit can estimate the emotions of the elderly person and determine the priority of messages based on the estimated emotions of the elderly person. For example, if the elderly person feels lonely, the message receiving unit prioritizes receiving messages from close friends. For example, if the message receiving unit estimates that the elderly person feels lonely, it determines the priority of messages in a manner such as "I will prioritize receiving messages from close friends." In addition, if the elderly person is busy, the message receiving unit can also prioritize receiving important messages. For example, if the message receiving unit estimates that the elderly person is busy, it determines the priority of messages in a manner such as "I will prioritize receiving important messages." In addition, if the elderly person is relaxed, the message receiving unit can also receive all messages equally. For example, if the message receiving unit estimates that the elderly person is relaxed, it determines the priority of messages in a manner such as "I will prioritize receiving all messages." This makes it possible to determine the priority of messages according to the emotions of the elderly person.

[0087] When receiving a message, the message receiving unit can select the optimal receiving method by taking into consideration the geographical location information of the elderly person. For example, if the elderly person is at home, the message receiving unit provides a method for receiving the message at home. For example, if the message receiving unit determines that the elderly person is at home, it selects a receiving method such as "We will provide a method for receiving the message at home." In addition, if the elderly person is out, the message receiving unit can also provide a method for receiving the message via a mobile device. For example, if the message receiving unit determines that the elderly person is out, it selects a receiving method such as "We will provide a method for receiving the message via a mobile device." In addition, if the elderly person is traveling, the message receiving unit can also provide a method for receiving the message at their travel destination. For example, if the message receiving unit determines that the elderly person is traveling, it selects a receiving method such as "We will provide a method for receiving the message at their travel destination." This makes it possible to select a receiving method based on the geographical location information of the elderly person.

[0088] The response confirmation unit can estimate the elderly person's emotions and adjust the response confirmation method based on the estimated elderly person's emotions. For example, if the elderly person is relaxed, the response confirmation unit confirms the response by voice. For example, if the response confirmation unit estimates that the elderly person is relaxed, it adjusts the confirmation method to, "Confirm your response by voice." Furthermore, if the elderly person is busy, the response confirmation unit can also confirm the response by text. For example, if the response confirmation unit estimates that the elderly person is busy, it adjusts the confirmation method to, "Confirm your response by text." Furthermore, if the elderly person is feeling anxious, the response confirmation unit can also confirm the response in a way that gives a sense of security. For example, if the response confirmation unit estimates that the elderly person is feeling anxious, it adjusts the confirmation method to, "Confirm your response in a way that gives a sense of security." This makes it possible to adjust the response confirmation method according to the elderly person's emotions.

[0089] When confirming a response, the response confirmation unit can select the optimal confirmation method by referring to the elderly person's past response history. For example, if the elderly person has confirmed a response by voice in the past, the response confirmation unit confirms the response by voice. For example, if the response confirmation unit determines that the elderly person has confirmed a response by voice in the past, it selects a confirmation method such as "confirm the response by voice." Furthermore, if the elderly person has confirmed a response by text in the past, the response confirmation unit can also confirm the response by text. For example, if the response confirmation unit determines that the elderly person has confirmed a response by text in the past, it selects a confirmation method such as "confirm the response by text." Furthermore, if the elderly person has confirmed a response by video message in the past, the response confirmation unit can also confirm the response by video message. For example, if the response confirmation unit determines that the elderly person has confirmed a response by video message in the past, it selects a confirmation method such as "confirm the response by video message." This makes it possible to select a confirmation method based on the elderly person's past response history.

[0090] The response confirmation unit can estimate the elderly person's emotions and determine the priority of responses based on the estimated elderly person's emotions. For example, if the elderly person feels lonely, the response confirmation unit prioritizes checking responses from close friends. For example, if the response confirmation unit estimates that the elderly person feels lonely, it determines the priority of responses in the form of "priority will be given to checking responses from close friends." In addition, if the elderly person is busy, the response confirmation unit can prioritize checking important responses. For example, if the response confirmation unit estimates that the elderly person is busy, it determines the priority of responses in the form of "priority will be given to checking important responses." In addition, if the elderly person is relaxed, the response confirmation unit can equally check all responses. For example, if the response confirmation unit estimates that the elderly person is relaxed, it determines the priority of responses in the form of "priority will be given to checking all responses equally." This makes it possible to determine the priority of responses according to the elderly person's emotions.

[0091] The response confirmation unit can select the optimal confirmation method by taking into consideration the geographical location information of the elderly person when confirming the response. For example, if the elderly person is at home, the response confirmation unit provides a method for checking the response at home. For example, if the response confirmation unit determines that the elderly person is at home, it selects a confirmation method such as "Check the response at home." In addition, if the elderly person is out, the response confirmation unit can also provide a method for checking the response on a mobile device. For example, if the response confirmation unit determines that the elderly person is out, it selects a confirmation method such as "Check the response on a mobile device." In addition, if the elderly person is traveling, the response confirmation unit can also provide a method for checking the response at the travel destination. For example, if the response confirmation unit determines that the elderly person is traveling, it selects a confirmation method such as "Check the response at the travel destination." This makes it possible to select a confirmation method based on the geographical location information of the elderly person.

[0092] The fraud prevention unit can estimate the emotions of the elderly person and adjust the fraud prevention method based on the estimated emotions of the elderly person. For example, if the elderly person is feeling anxious, the fraud prevention unit performs fraud prevention in a way that gives a sense of security. For example, if the fraud prevention unit estimates that the elderly person is feeling anxious, it adjusts the fraud prevention method by saying, "We will perform fraud prevention in a way that gives a sense of security." Furthermore, if the elderly person is relaxed, the fraud prevention unit can also provide fraud prevention information in a calm manner. For example, if the fraud prevention unit estimates that the elderly person is relaxed, it adjusts the fraud prevention method by saying, "We will provide fraud prevention information in a calm manner." Furthermore, if the elderly person is excited, the fraud prevention unit can also perform fraud prevention in a calming manner. For example, if the fraud prevention unit estimates that the elderly person is excited, it adjusts the fraud prevention method by saying, "We will perform fraud prevention in a calming manner." This makes it possible to adjust the fraud prevention method according to the emotions of the elderly person.

[0093] When preventing fraud, the fraud prevention unit can select the optimal prevention method by referring to the elderly person's past fraud victim history. For example, if the elderly person has fallen victim to telephone fraud in the past, the fraud prevention unit provides a prevention method specialized for telephone fraud. For example, if the fraud prevention unit determines that the elderly person has fallen victim to telephone fraud in the past, it selects a prevention method in the form of "We provide a prevention method specialized for telephone fraud." In addition, the fraud prevention unit can also provide a prevention method specialized for internet fraud in the past if the elderly person has fallen victim to internet fraud in the past. For example, if the fraud prevention unit determines that the elderly person has fallen victim to internet fraud in the past, it selects a prevention method in the form of "We provide a prevention method specialized for internet fraud." In addition, the fraud prevention unit can also provide a prevention method specialized for door-to-door sales fraud in the past if the elderly person has fallen victim to door-to-door sales fraud in the past. For example, if the fraud prevention unit determines that the elderly person has fallen victim to door-to-door sales fraud in the past, it selects a prevention method in the form of "We provide a prevention method specialized for door-to-door sales fraud." This makes it possible to select a prevention method based on the elderly person's past fraud victim history.

[0094] The fraud prevention unit can customize fraud prevention measures based on the elderly person's current living situation when preventing fraud. For example, if the elderly person lives alone, the fraud prevention unit strengthens prevention measures against telephone and door-to-door sales. For example, if the fraud prevention unit determines that the elderly person lives alone, it customizes the prevention measures in the form of "We will strengthen prevention measures against telephone and door-to-door sales." In addition, if the elderly person is in a nursing home, the fraud prevention unit can also provide prevention measures in cooperation with the facility staff. For example, if the fraud prevention unit determines that the elderly person is in a nursing home, it customizes the prevention measures in the form of "We will work with the facility staff to provide prevention measures." In addition, if the elderly person is out, the fraud prevention unit can also provide fraud prevention measures while the elderly person is out. For example, if the fraud prevention unit determines that the elderly person is out, it customizes the prevention measures in the form of "We will provide fraud prevention measures while the elderly person is out." This makes it possible to customize fraud prevention measures according to the elderly person's living situation.

[0095] The fraud prevention unit can estimate the emotions of the elderly person and determine the priority of fraud prevention based on the estimated emotions of the elderly person. For example, if the elderly person is feeling anxious, the fraud prevention unit gives top priority to fraud prevention. For example, if the fraud prevention unit estimates that the elderly person is feeling anxious, it determines the priority of fraud prevention in the form of "make fraud prevention the top priority." Furthermore, if the elderly person is relaxed, the fraud prevention unit can also perform fraud prevention with a priority according to the situation. For example, if the fraud prevention unit estimates that the elderly person is relaxed, it determines the priority of fraud prevention in the form of "make fraud prevention with a priority according to the situation." Furthermore, if the elderly person is excited, the fraud prevention unit can also perform fraud prevention quickly. For example, if the fraud prevention unit estimates that the elderly person is excited, it determines the priority of fraud prevention in the form of "make fraud prevention quickly." This makes it possible to determine the priority of fraud prevention according to the emotions of the elderly person.

[0096] The fraud prevention unit can select the optimal fraud prevention method by taking into consideration the geographical location information of the elderly person when preventing fraud. For example, if the elderly person is at home, the fraud prevention unit provides fraud prevention measures at home. For example, if the fraud prevention unit determines that the elderly person is at home, it selects a prevention method in the form of "We will provide fraud prevention measures at home." In addition, if the elderly person is out, the fraud prevention unit can also provide fraud prevention measures while away from home. For example, if the fraud prevention unit determines that the elderly person is out, it selects a prevention method in the form of "We will provide fraud prevention measures while away from home." In addition, if the elderly person is traveling, the fraud prevention unit can also provide fraud prevention measures at the travel destination. For example, if the fraud prevention unit determines that the elderly person is traveling, it selects a prevention method in the form of "We will provide fraud prevention measures at the travel destination." This makes it possible to select a fraud prevention method based on the geographical location information of the elderly person.

[0097] The fraud prevention unit can analyze the social media activity of an elderly person and suggest relevant prevention measures when preventing fraud. For example, if an elderly person receives a potentially fraudulent message on social media, the fraud prevention unit provides prevention measures based on that information. For example, if the fraud prevention unit determines that an elderly person has received a "potentially fraudulent message" on social media, it suggests prevention measures by saying, "We will provide you with prevention measures based on that information." In addition, if an elderly person shares location information on social media, the fraud prevention unit can also provide prevention measures based on that information. For example, if the fraud prevention unit determines that an elderly person has shared location information on social media, it can suggest prevention measures by saying, "We will provide you with prevention measures based on that information." In addition, if an elderly person reports their health condition on social media, the fraud prevention unit can also provide prevention measures based on that information. For example, if an elderly person reports that their health condition has worsened on social media, the fraud prevention unit can suggest prevention measures by saying, "We will provide you with prevention measures based on that information." This makes it possible to suggest prevention measures based on the elderly person's social media activity. === Hard Collateral 1-1 === Each of the multiple elements, including the information providing unit, conversation promoting unit, emergency notification unit, message receiving unit, response confirmation unit, and fraud prevention unit, is realized, for example, by at least one of the smart device 14 and the data processing device 12. For example, the information providing unit is realized by the control unit 46A of the smart device 14 and obtains weather data and news from the Internet and conveys them to the elderly. The conversation promoting unit is realized by the control unit 46A of the smart device 14 and encourages conversation with the elderly based on the weather and news. The emergency notification unit is realized by the specific processing unit 290 of the data processing device 12 and makes an emergency notification if the elderly collapses or if there is no conversation for a certain period of time. The message receiving unit is realized by the control unit 46A of the smart device 14 and receives voice messages and text messages from relatives. The response confirmation unit is realized by the specific processing unit 290 of the data processing device 12 and allows the relative to confirm the elderly's voice and text responses. The fraud prevention unit is realized by the specific processing unit 290 of the data processing device 12 and uses AI to analyze voice and issue a warning if there is a possibility of fraud. === Hard Collateral 1-2 === Each of the multiple elements, including the information providing unit, conversation promoting unit, emergency notification unit, message receiving unit, response confirmation unit, and fraud prevention unit, is realized, for example, by at least one of the smart glasses 214 and the data processing device 12. For example, the information providing unit is realized by the control unit 46A of the smart glasses 214 and obtains weather data and news from the Internet and conveys them to the elderly. The conversation promoting unit is realized by the control unit 46A of the smart glasses 214 and encourages conversation with the elderly based on the weather and news. The emergency notification unit is realized by the specific processing unit 290 of the data processing device 12 and makes an emergency notification if the elderly person collapses or if there is no conversation for a certain period of time. The message receiving unit is realized by the control unit 46A of the smart glasses 214 and receives voice messages and text messages from relatives. The response confirmation unit is realized by the specific processing unit 290 of the data processing device 12 and allows the relative to confirm the elderly person's voice or text responses. The fraud prevention unit is realized by the specific processing unit 290 of the data processing device 12, and AI analyzes the voice and issues a warning if there is a possibility of fraud. === Hard Collateral 1-3 === Each of the multiple elements, including the information providing unit, conversation promoting unit, emergency notification unit, message receiving unit, response confirmation unit, and fraud prevention unit, is realized, for example, by at least one of the headset terminal 314 and the data processing device 12. For example, the information providing unit is realized by the control unit 46A of the headset terminal 314 and obtains weather data and news from the Internet and conveys them to the elderly. The conversation promoting unit is realized by the control unit 46A of the headset terminal 314 and encourages conversation with the elderly based on the weather and news. The emergency notification unit is realized by the specific processing unit 290 of the data processing device 12 and makes an emergency notification if the elderly collapses or if there is no conversation for a certain period of time. The message receiving unit is realized by the control unit 46A of the headset terminal 314 and receives voice messages and text messages from relatives. The response confirmation unit is realized by the specific processing unit 290 of the data processing device 12 and allows the relative to confirm the elderly's voice or text responses. The fraud prevention unit is realized by the specific processing unit 290 of the data processing device 12, and AI analyzes the voice and issues a warning if there is a possibility of fraud. === Hard Collateral 1-4 === Each of the multiple elements, including the information providing unit, conversation promoting unit, emergency notification unit, message receiving unit, response confirmation unit, and fraud prevention unit, is realized, for example, by at least one of the robot 414 and the data processing device 12. For example, the information providing unit is realized by the control unit 46A of the robot 414 and obtains weather data and news from the Internet and conveys them to the elderly. The conversation promoting unit is realized by the control unit 46A of the robot 414 and encourages conversation with the elderly based on the weather and news. The emergency notification unit is realized by the specific processing unit 290 of the data processing device 12 and makes an emergency call if the elderly collapses or if there is no conversation for a certain period of time. The message receiving unit is realized by the control unit 46A of the robot 414 and receives voice messages or text messages from relatives. The response confirmation unit is realized by the specific processing unit 290 of the data processing device 12 and allows the relative to confirm the elderly's voice or text responses. The fraud prevention unit is realized by the specific processing unit 290 of the data processing device 12 and uses AI to analyze voice and issue a warning if there is a possibility of fraud.

[0098] The system according to the embodiment is not limited to the above-described example, and various modifications are possible, for example, as follows.

[0099] The conversation support system can further include a health monitoring unit that monitors the health condition of the elderly person. The health monitoring unit periodically measures the elderly person's vital signs, such as heart rate, blood pressure, and body temperature, and can notify the emergency notification unit if an abnormality is detected. For example, if the elderly person's heart rate is abnormally high, the health monitoring unit can notify the emergency notification unit by saying, "Your heart rate is high. We will make an emergency call." If the elderly person's blood pressure is abnormally low, the health monitoring unit can also notify the emergency notification unit by saying, "Your blood pressure is low. We will make an emergency call." If the elderly person's body temperature is abnormally high, the health monitoring unit can also notify the emergency notification unit by saying, "Your body temperature is high. We will make an emergency call." This enables the elderly person's health condition to be monitored in real time, enabling prompt response.

[0100] The conversation support system can further include a hobby providing unit that provides customized content based on the hobbies and interests of the elderly person. The hobby providing unit analyzes the hobbies and interests that the elderly person has enjoyed in the past and provides related content based on the results. For example, if the elderly person is interested in gardening, the hobby providing unit can provide information in the form of "We will provide you with the latest gardening information." If the elderly person is interested in music, the hobby providing unit can provide information in the form of "We will provide you with the latest music information." If the elderly person is interested in travel, the hobby providing unit can provide information in the form of "We will provide you with the latest travel information." This makes it possible to provide information tailored to the hobbies and interests of the elderly person.

[0101] The conversation support system can further include a diet management unit that supports the elderly person's dietary management. The diet management unit can record the elderly person's dietary content and analyze nutritional balance. For example, the diet management unit can record the content of the meals eaten by the elderly person and provide feedback in the form of, "Today's meal is well-balanced in nutrition." If the elderly person is consuming too much of a certain nutrient, the diet management unit can provide advice in the form of, "Your salt intake is high. Please be careful." If the elderly person is not consuming enough of a certain nutrient, the diet management unit can provide advice in the form of, "Your vitamin C intake is low. Please replenish it." This can support the elderly person's healthy eating habits.

[0102] The conversation support system can further include an exercise support unit that supports the elderly person's exercise. The exercise support unit can record the elderly person's exercise history and suggest an appropriate exercise plan. For example, the exercise support unit can record the elderly person's past exercise history and suggest an exercise plan in the form of "Walk for 30 minutes today." The exercise support unit can also provide the elderly person with tips to be careful about when performing a specific exercise. For example, the exercise support unit can provide advice in the form of "Wear appropriate shoes when walking." Furthermore, the exercise support unit can provide feedback to the elderly person after they have exercised. For example, the exercise support unit can provide feedback in the form of "Today's exercise was effective. Please continue." This can support the elderly person's healthy exercise habits.

[0103] The conversation support system may further include a sleep monitoring unit that monitors the sleep of the elderly person. The sleep monitoring unit may record the elderly person's sleep patterns and analyze the quality of their sleep. For example, the sleep monitoring unit may record the elderly person's sleep duration and sleep depth and provide feedback in the form of, "You slept well last night." If the elderly person has not slept enough, the sleep monitoring unit may provide advice in the form of, "You did not get enough sleep last night. Please get some rest early." Furthermore, the sleep monitoring unit may make suggestions to improve the quality of the elderly person's sleep. For example, the sleep monitoring unit may provide advice in the form of, "Listen to relaxing music before going to bed." This may support healthy sleep habits for the elderly person.

[0104] The conversation support system may further include a music providing unit that estimates the elderly person's emotions and provides music based on the estimated elderly person's emotions. The music providing unit may select and provide music according to the elderly person's emotions. For example, if the music providing unit estimates that the elderly person is sad, it may provide uplifting music. For example, if the music providing unit estimates that the elderly person is sad, it may provide music in the form of "Listen to uplifting music." The music providing unit may also provide relaxing music if the elderly person is relaxed. For example, if the music providing unit estimates that the elderly person is relaxed, it may provide music in the form of "Listen to relaxing music." The music providing unit may also provide calming music if the elderly person is excited. For example, if the music providing unit estimates that the elderly person is excited, it may provide music in the form of "Listen to calming music." This makes it possible to provide music according to the elderly person's emotions.

[0105] The conversation support system may further include a reminder providing unit that estimates the elderly person's emotions and provides a reminder based on the estimated elderly person's emotions. The reminder providing unit may select and provide a reminder according to the elderly person's emotions. For example, if the reminder providing unit estimates that the elderly person is forgetful, it may provide a reminder in the form of, "You have a hospital appointment today." The reminder providing unit may also adjust the frequency of reminders if the elderly person is busy. For example, if the reminder providing unit estimates that the elderly person is busy, it may adjust the frequency of reminders in the form of, "I will remind you when necessary." The reminder providing unit may also adjust the content of reminders if the elderly person is relaxed. For example, if the reminder providing unit estimates that the elderly person is relaxed, it may adjust the content of reminders in the form of, "I will remind you with content that will help you relax." This makes it possible to provide reminders according to the elderly person's emotions.

[0106] The conversation support system may further include an exercise suggestion unit that estimates the elderly person's emotions and suggests exercises based on the estimated elderly person's emotions. The exercise suggestion unit can select and suggest exercises according to the elderly person's emotions. For example, if the elderly person is sad, the exercise suggestion unit can suggest exercises to lift their mood. For example, if the exercise suggestion unit estimates that the elderly person is sad, it can suggest exercises such as "Let's do some light stretching to lift your mood." The exercise suggestion unit can also suggest relaxing exercises if the elderly person is relaxed. For example, if the exercise suggestion unit estimates that the elderly person is relaxed, it can suggest exercises such as "Let's do some relaxing yoga." The exercise suggestion unit can also suggest calming exercises if the elderly person is excited. For example, if the exercise suggestion unit estimates that the elderly person is excited, it can suggest exercises such as "Let's take some deep breaths to calm down." This makes it possible to suggest exercises according to the elderly person's emotions.

[0107] The conversation support system can further include a reading suggestion unit that estimates the emotions of the elderly person and suggests reading based on the estimated emotions of the elderly person. The reading suggestion unit can select and suggest reading that corresponds to the emotions of the elderly person. For example, if the reading suggestion unit is sad, it can suggest an uplifting book. For example, if the reading suggestion unit estimates that the elderly person is sad, it can suggest a book in the form of "Let's read an uplifting book." Furthermore, if the elderly person is relaxed, it can suggest a relaxing book. For example, if the reading suggestion unit estimates that the elderly person is relaxed, it can suggest a book in the form of "Let's read a relaxing book." Furthermore, if the elderly person is excited, it can suggest a calming book. For example, if the reading suggestion unit estimates that the elderly person is excited, it can suggest a book in the form of "Let's read a calming book." This makes it possible to suggest reading that corresponds to the emotions of the elderly person.

[0108] The conversation support system may further include a movie suggestion unit that estimates the elderly person's emotions and suggests a movie based on the estimated elderly person's emotions. The movie suggestion unit can select and suggest a movie according to the elderly person's emotions. For example, if the elderly person is sad, the movie suggestion unit can suggest an uplifting movie. For example, if the elderly person is sad, the movie suggestion unit can suggest a movie in the form of "Let's watch an uplifting movie." Furthermore, if the elderly person is relaxed, the movie suggestion unit can suggest a relaxing movie. For example, if the elderly person is relaxed, the movie suggestion unit can suggest a movie in the form of "Let's watch a relaxing movie." Furthermore, if the elderly person is excited, the movie suggestion unit can suggest a calming movie. For example, if the elderly person is excited, the movie suggestion unit can suggest a movie in the form of "Let's watch a calming movie." This makes it possible to suggest movies according to the elderly person's emotions.

[0109] The processing flow of the second embodiment will be briefly explained below.

[0110] Step 1: The information provider provides weather or news information. For example, the information provider can provide local weather forecasts or domestic and international news. The information provider obtains weather data and news from the Internet and conveys them to the elderly. Step 2: The conversation promotion unit promotes conversation with the elderly based on the information provided by the information provision unit. For example, it can ask questions such as "How's the weather today?" or "Is there anything in the news recently that you're concerned about?". It can also promote conversations based on weather information, such as "It's sunny today. Would you like to go for a walk?" Step 3: The emergency notification unit will notify the emergency. For example, if an elderly person collapses or an emergency occurs, it will automatically call 119. It can also notify family members by email or SMS if there is no communication for a certain period of time.

[0111] 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.

[0112] The data generation model 58 is a so-called generative AI (Artificial Intelligence). An example of the data generation model 58 is ChatGPT (registered trademark) (Internet search engine).<URL: https: / / openai.com / blog / chatgpt> Examples of the generative AI include a neural network (NN) and a neural network (NN). 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 (e.g., still image data or video data). 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 one or more data formats of voice data, text data, image data, etc. 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 may perform various processes, but is not limited to these examples. The AI ​​may also be an AI agent. When the processing of each of the above-mentioned parts is performed by an AI, the processing may be performed in part or entirely by the AI, but is not limited to these examples. The processing performed by an AI including the generative AI may be replaced with rule-based processing, and rule-based processing may be replaced with processing performed by an AI including the generative AI.

[0113] 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.

[0114] The correspondence between each part and the device or control part is not limited to the example described above, and various modifications are possible.

[0115] [Second embodiment] FIG. 3 shows an example of the configuration of a data processing system 210 according to the second embodiment.

[0116] 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.

[0117] 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.

[0118] 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.

[0119] 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.

[0120] 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).

[0121] 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.

[0122] 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.

[0123] 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.

[0124] The storage 32 stores a data generation model 58 and an emotion identification model 59. The data generation model 58 and the emotion identification model 59 are used by the identification processing unit 290. The identification processing unit 290 can estimate a user's emotion using the emotion identification model 59 and perform identification processing using the user's emotion. The emotion estimation function (emotion identification function) using the emotion identification model 59 performs various estimations and predictions regarding the user's emotion, including estimation and prediction of the user's emotion, but is not limited to these examples. Furthermore, the estimation and prediction of emotion also includes, for example, emotion analysis.

[0125] In the smart glasses 214, the specific processing is performed by the processor 46. A specific processing program 60 is stored in the storage 50. The processor 46 reads the specific processing program 60 from the storage 50 and executes the read specific processing program 60 on the RAM 48. The specific processing is realized by the processor 46 operating as the control unit 46A in accordance with the specific processing program 60 executed on the RAM 48. The smart glasses 214 also have a data generation model and an emotion identification model similar to the data generation model 58 and the emotion identification model 59, and can perform processing similar to that of the specific processing unit 290 using these models.

[0126] 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.

[0127] 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.

[0128] 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 including an instruction, as well as inference data such as audio data indicating speech, text data indicating text, and image data indicating an image (e.g., still image data or video data). 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 one or more data formats, such as audio data, text data, and image 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 models 58 include AIs other than the generation AI. Examples of AIs other than the generation AI include, but are not limited to, linear regression, logistic regression, decision trees, random forests, support vector machines (SVMs), k-means clustering, convolutional neural networks (CNNs), recurrent neural networks (RNNs), generative adversarial networks (GANs), and naive Bayes. These AIs can perform various types of processing, but are not limited to these examples. The AI ​​may also be an AI agent. When the processing of each of the above-described parts is performed by an AI, the processing may be performed in part or entirely by the AI, but is not limited to these examples. Processing performed by an AI, including the generation AI, may be replaced with rule-based processing, and rule-based processing may be replaced with processing performed by an AI, including the generation AI.

[0129] 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.

[0130] The correspondence between each part and the device or control part is not limited to the example described above, and various modifications are possible.

[0131] [Third embodiment] FIG. 5 shows an example of the configuration of a data processing system 310 according to the third embodiment.

[0132] 5, the data processing system 310 includes the data processing device 12 and a headset terminal 314. An example of the data processing device 12 is a server.

[0133] 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.

[0134] 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.

[0135] 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.

[0136] 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).

[0137] 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.

[0138] 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.

[0139] 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.

[0140] The storage 32 stores a data generation model 58 and an emotion identification model 59. The data generation model 58 and the emotion identification model 59 are used by the identification processing unit 290. The identification processing unit 290 can estimate a user's emotion using the emotion identification model 59 and perform identification processing using the user's emotion. The emotion estimation function (emotion identification function) using the emotion identification model 59 performs various estimations and predictions regarding the user's emotion, including estimation and prediction of the user's emotion, but is not limited to these examples. Furthermore, the estimation and prediction of emotion also includes, for example, emotion analysis.

[0141] 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 has a data generation model and an emotion identification model similar to the data generation model 58 and the emotion identification model 59, and can also perform processing similar to that of the identification processing unit 290 using these models.

[0142] 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.

[0143] 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.

[0144] 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 including an instruction, as well as inference data such as audio data indicating speech, text data indicating text, and image data indicating an image (e.g., still image data or video data). 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 one or more data formats, such as audio data, text data, and image 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 models 58 include AIs other than the generation AI. Examples of AIs other than the generation AI include, but are not limited to, linear regression, logistic regression, decision trees, random forests, support vector machines (SVMs), k-means clustering, convolutional neural networks (CNNs), recurrent neural networks (RNNs), generative adversarial networks (GANs), and naive Bayes. These AIs can perform various types of processing, but are not limited to these examples. The AI ​​may also be an AI agent. When the processing of each of the above-described parts is performed by an AI, the processing may be performed in part or entirely by the AI, but is not limited to these examples. Processing performed by an AI, including the generation AI, may be replaced with rule-based processing, and rule-based processing may be replaced with processing performed by an AI, including the generation AI.

[0145] 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.

[0146] The correspondence between each part and the device or control part is not limited to the example described above, and various modifications are possible.

[0147] [Fourth embodiment] FIG. 7 shows an example of the configuration of a data processing system 410 according to the fourth embodiment.

[0148] 7, a data processing system 410 includes a data processing device 12 and a robot 414. An example of the data processing device 12 is a server.

[0149] 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.

[0150] 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.

[0151] 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.

[0152] 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).

[0153] 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.

[0154] 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.

[0155] 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.

[0156] 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.

[0157] The storage 32 stores a data generation model 58 and an emotion identification model 59. The data generation model 58 and the emotion identification model 59 are used by the identification processing unit 290. The identification processing unit 290 can estimate a user's emotion using the emotion identification model 59 and perform identification processing using the user's emotion. The emotion estimation function (emotion identification function) using the emotion identification model 59 performs various estimations and predictions regarding the user's emotion, including estimation and prediction of the user's emotion, but is not limited to these examples. Furthermore, the estimation and prediction of emotion also includes, for example, emotion analysis.

[0158] In the robot 414, the processor 46 performs the identification process. The storage 50 stores the identification program 60. 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 the control unit 46A in accordance with the identification program 60 executed on the RAM 48. The robot 414 also has a data generation model and an emotion identification model similar to the data generation model 58 and the emotion identification model 59, and can perform the same process as the identification processing unit 290 using these models.

[0159] 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.

[0160] 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.

[0161] 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 including an instruction, as well as inference data such as audio data indicating speech, text data indicating text, and image data indicating an image (e.g., still image data or video data). 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 one or more data formats, such as audio data, text data, and image 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 models 58 include AIs other than the generation AI. Examples of AIs other than the generation AI include, but are not limited to, linear regression, logistic regression, decision trees, random forests, support vector machines (SVMs), k-means clustering, convolutional neural networks (CNNs), recurrent neural networks (RNNs), generative adversarial networks (GANs), and naive Bayes. These AIs can perform various types of processing, but are not limited to these examples. The AI ​​may also be an AI agent. When the processing of each of the above-described parts is performed by an AI, the processing may be performed in part or entirely by the AI, but is not limited to these examples. Processing performed by an AI, including the generation AI, may be replaced with rule-based processing, and rule-based processing may be replaced with processing performed by an AI, including the generation AI.

[0162] 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.

[0163] The correspondence between each part and the device or control part is not limited to the example described above, and various modifications are possible.

[0164] 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.

[0165] 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.

[0166] 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.

[0167] 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).

[0168] 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.

[0169] 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."

[0170] 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.

[0171] 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.

[0172] 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.

[0173] 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.

[0174] 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.

[0175] 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.

[0176] 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.

[0177] 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.

[0178] 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.

[0179] 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.

[0180] 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, in order to avoid confusion and to 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.

[0181] 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.

[0182] [Explanation of symbols]

[0183] 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. an information providing section that provides weather or news information; a conversation promotion unit that promotes conversation with the elderly person based on the information provided by the information providing unit; an emergency reporting unit that reports in an emergency; A system characterized by:

2. Equipped with a message reception section to receive messages from relatives 2. The system of claim 1.

3. Equipped with a response confirmation unit where relatives can confirm the elderly person's response 2. The system of claim 1.

4. Equipped with a fraud prevention unit that uses AI to analyze voice and prevent fraud.

2. The system of claim 1.

5. The information providing unit Estimate the emotions of the elderly person and adjust the type of information provided based on the estimated emotions of the elderly person.

2. The system of claim 1.

6. The information providing unit Analyzing the elderly person's past question history and selecting the appropriate method of providing information 2. The system of claim 1.

7. The information providing unit When providing information, filtering is performed based on the elderly person's current living situation and areas of interest.

2. The system of claim 1.

8. The information providing unit Estimate the emotions of the elderly and adjust the timing of providing information based on the estimated emotions of the elderly.

2. The system of claim 1.

9. The information providing unit When providing information, the most relevant information is prioritized based on the elderly person's geographic location.

2. The system of claim 1.

Images