System

Abstract

An object of a system according to an embodiment is to continuously provide support even after a couple is established.SOLUTION: A system according to an embodiment includes a compatibility determination unit, a message support unit, a reservation support unit, and a purchase support unit. The compatibility determination unit determines compatibility of the couple. The message support unit supports message exchange on the basis of the compatibility determined by the compatibility determination unit. The reservation support unit supports the planning of the date or the reservation of the store based on the content of the message supported by the message support unit. The purchase support unit supports the purchase of the present based on the reservation content supported by the reservation support unit.SELECTED DRAWING: Figure 1

Description

[Technical Field]

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

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

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

[0004] With conventional technology, there was a problem that the support provided after couples were formed was insufficient, which resulted in users of the app ceasing to use it.

[0005] The system according to the embodiment aims to provide continuous support even after a couple is formed. [Means for solving the problem]

[0006] The system according to the embodiment includes a compatibility determination unit, a message support unit, a reservation support unit, and a purchase support unit. The compatibility determination unit determines the compatibility of a couple. The message support unit supports message exchanges based on the compatibility determined by the compatibility determination unit. The reservation support unit supports date planning or restaurant reservations based on the content of messages supported by the message support unit. The purchase support unit supports the purchase of a gift based on the reservation content supported by the reservation support unit. [Effects of the Invention]

[0007] The system according to the embodiment can provide continuous support even after a couple is formed. [Brief explanation of the drawings]

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

[0025] The storage 32 stores a data generation model 58 and an emotion identification model 59. The data generation model 58 and the emotion identification model 59 are used by the identification processing unit 290. The identification processing unit 290 can estimate the user's emotion using the emotion identification model 59 and perform identification processing using the user's emotion.

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

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

[0028] (Example 1) The matching app system according to an embodiment of the present invention utilizes generative AI and continues to be used even after couples are formed. This system provides compatibility assessments, message support, reservation support, purchasing support, and recommendations for marriage, childbirth, divorce, and LGBTQ-friendly services after couples are formed. This allows the matching app system to continue to be used even after couples are formed, and to provide a variety of support.

[0029] A matching app system according to an embodiment includes a compatibility assessment unit, a message support unit, a reservation support unit, and a purchase support unit. The compatibility assessment unit assesses the compatibility of a couple. For example, the compatibility assessment unit assesses compatibility based on a personality diagnosis. The compatibility assessment unit can also assess compatibility based on past behavioral histories. The compatibility assessment unit can also assess compatibility based on shared hobbies. The message support unit supports message exchanges based on the compatibility assessed by the compatibility assessment unit. For example, the message support unit supports message exchanges by providing templates. The message support unit can also support message exchanges by suggesting reply timing. The message support unit can also support message exchanges by suggesting appropriate topics. The reservation support unit supports date planning or restaurant reservations based on the content of messages supported by the message support unit. For example, the reservation support unit supports date planning by suggesting date spots. The reservation support unit can also support date planning by adjusting schedules. The reservation support unit can also support restaurant reservations by presenting available time slots. The purchase support unit supports the purchase of a present based on the reservation details supported by the reservation support unit. For example, the purchase support unit supports the purchase by suggesting a present. The purchase support unit can also support the purchase of a present by supporting the purchase procedure. The purchase support unit can also support the purchase by suggesting a present according to a budget. In this way, the matching app system according to the embodiment can provide an app that is continuously used even after a couple is formed.

[0030] The compatibility assessment unit can analyze message history, automatically remind couples of specific events or anniversaries, and suggest surprises. For example, the compatibility assessment unit uses a generation AI to analyze a couple's past message history and identify important events or anniversaries. For example, it can automatically remind couples of their first date or the date they started dating, and suggest surprise ideas. This allows the unit to remind couples of important events and anniversaries without forgetting them, and suggest surprises.

[0031] The message support unit can automatically generate and suggest weekly date plans based on hobbies or interests. For example, the generation AI extracts common hobbies and interests from a couple's profiles and past messages, and automatically generates weekly date plans based on that. For example, it can suggest plans such as going to the movies or watching sports. This makes it possible to suggest date plans based on the couple's common hobbies and interests.

[0032] The purchasing support department can analyze the health data and suggest healthy date plans. For example, the generating AI analyzes the data from the couple's fitness trackers and suggests healthy date plans. For example, it suggests activities such as hiking or cycling. This makes it possible to suggest healthy date plans based on the couple's health data.

[0033] The message support unit can support planning of group dates and events by taking into account relationships with friends or family. For example, the generative AI can support planning of group dates and events by taking into account relationships with friends and family of the couple. For example, the generative AI can suggest a barbecue party or picnic with friends and family. This can support planning of group dates and events by taking into account relationships with friends and family of the couple.

[0034] The compatibility assessment unit can analyze health data and suggest healthy date plans. For example, the compatibility assessment unit uses a generative AI to analyze data from a couple's fitness trackers and suggest healthy date plans. For example, it suggests activities such as hiking or cycling. This makes it possible to suggest healthy date plans based on the couple's health data.

[0035] The message support unit can support planning of group dates and events by taking into account relationships with friends or family. For example, the generative AI can support planning of group dates and events by taking into account relationships with friends and family of the couple. For example, the generative AI can suggest a barbecue party or picnic with friends and family. This can support planning of group dates and events by taking into account relationships with friends and family of the couple.

[0036] The compatibility assessment unit can analyze health data and suggest healthy date plans. For example, the compatibility assessment unit uses a generative AI to analyze data from a couple's fitness trackers and suggest healthy date plans. For example, it suggests activities such as hiking or cycling. This makes it possible to suggest healthy date plans based on the couple's health data.

[0037] The message support unit can support planning of group dates and events by taking into account relationships with friends or family. For example, the generative AI can support planning of group dates and events by taking into account relationships with friends and family of the couple. For example, the generative AI can suggest a barbecue party or picnic with friends and family. This can support planning of group dates and events by taking into account relationships with friends and family of the couple.

[0038] The compatibility assessment unit can analyze health data and suggest healthy date plans. For example, the compatibility assessment unit uses a generative AI to analyze data from a couple's fitness trackers and suggest healthy date plans. For example, it suggests activities such as hiking or cycling. This makes it possible to suggest healthy date plans based on the couple's health data.

[0039] The message support unit can support planning of group dates and events by taking into account relationships with friends or family. For example, the generative AI can support planning of group dates and events by taking into account relationships with friends and family of the couple. For example, the generative AI can suggest a barbecue party or picnic with friends and family. This can support planning of group dates and events by taking into account relationships with friends and family of the couple.

[0040] The compatibility assessment unit can analyze health data and suggest healthy date plans. For example, the compatibility assessment unit uses a generative AI to analyze data from a couple's fitness trackers and suggest healthy date plans. For example, it suggests activities such as hiking or cycling. This makes it possible to suggest healthy date plans based on the couple's health data.

[0041] The message support unit can support planning of group dates and events by taking into account relationships with friends or family. For example, the generative AI can support planning of group dates and events by taking into account relationships with friends and family of the couple. For example, the generative AI can suggest a barbecue party or picnic with friends and family. This can support planning of group dates and events by taking into account relationships with friends and family of the couple.

[0042] The compatibility assessment unit can analyze health data and suggest healthy date plans. For example, the compatibility assessment unit uses a generative AI to analyze data from a couple's fitness trackers and suggest healthy date plans. For example, it suggests activities such as hiking or cycling. This makes it possible to suggest healthy date plans based on the couple's health data.

[0043] The message support unit can support planning of group dates and events by taking into account relationships with friends or family. For example, the generative AI can support planning of group dates and events by taking into account relationships with friends and family of the couple. For example, the generative AI can suggest a barbecue party or picnic with friends and family. This can support planning of group dates and events by taking into account relationships with friends and family of the couple.

[0044] The compatibility assessment unit can analyze health data and suggest healthy date plans. For example, the compatibility assessment unit uses a generative AI to analyze data from a couple's fitness trackers and suggest healthy date plans. For example, it suggests activities such as hiking or cycling. This makes it possible to suggest healthy date plans based on the couple's health data.

[0045] The message support unit can support planning of group dates and events by taking into account relationships with friends or family. For example, the generative AI can support planning of group dates and events by taking into account relationships with friends and family of the couple. For example, the generative AI can suggest a barbecue party or picnic with friends and family. This can support planning of group dates and events by taking into account relationships with friends and family of the couple.

[0046] The compatibility assessment unit can analyze health data and suggest healthy date plans. For example, the compatibility assessment unit uses a generative AI to analyze data from a couple's fitness trackers and suggest healthy date plans. For example, it suggests activities such as hiking or cycling. This makes it possible to suggest healthy date plans based on the couple's health data.

[0047] The message support unit can support planning of group dates and events by taking into account relationships with friends or family. For example, the generative AI can support planning of group dates and events by taking into account relationships with friends and family of the couple. For example, the generative AI can suggest a barbecue party or picnic with friends and family. This can support planning of group dates and events by taking into account relationships with friends and family of the couple.

[0048] The compatibility assessment unit can analyze health data and suggest healthy date plans. For example, the compatibility assessment unit uses a generative AI to analyze data from a couple's fitness trackers and suggest healthy date plans. For example, it suggests activities such as hiking or cycling. This makes it possible to suggest healthy date plans based on the couple's health data.

[0049] The message support unit can support planning of group dates and events by taking into account relationships with friends or family. For example, the generative AI can support planning of group dates and events by taking into account relationships with friends and family of the couple. For example, the generative AI can suggest a barbecue party or picnic with friends and family. This can support planning of group dates and events by taking into account relationships with friends and family of the couple.

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

[0051] The matching app system can further include a travel support unit that supports couples in planning their trips. The travel support unit suggests optimal travel destinations and activities based on the couple's past travel history and interests. For example, the travel support unit may analyze the places the couple has visited in the past and their favorite activities, and suggest new travel destinations based on that. The travel support unit can also create travel plans that suit the couple's budget and schedule. Furthermore, the travel support unit can suggest recommended local spots and restaurants to maximize the enjoyment of the trip.

[0052] The matching app system can further include a health management unit that supports the couple's health management. The health management unit collects the couple's health data and monitors their health status. For example, the health management unit obtains data from the couple's fitness trackers or smartwatches and analyzes their daily exercise volume and sleep status. The health management unit can also suggest exercise plans and meal plans based on the couple's health goals. Furthermore, the health management unit can support regular health checks and medical appointments to help the couple maintain their health.

[0053] The matching app system can further include a hobby support unit that supports couples' hobby activities. The hobby support unit helps couples find common hobbies or new hobbies. For example, the hobby support unit analyzes the couple's past activity history and interests and suggests new hobbies. The hobby support unit can also suggest workshops and events that couples can enjoy together. Furthermore, the hobby support unit provides couples with opportunities to make new friends through their hobbies, thereby expanding their social connections.

[0054] The matching app system may further include a financial management unit that supports the couple's financial management. The financial management unit manages the couple's income and expenses and helps them make financial plans. For example, the financial management unit may collect the couple's income and expenses data and create a monthly budget. The financial management unit may also suggest a savings plan according to the couple's savings goals. Furthermore, the financial management unit may help the couple make plans to prepare for future large expenses (for example, a wedding or buying a house).

[0055] The matching app system may further include a pet management unit that supports the couple in managing their pets. The pet management unit manages the health status and schedule of the couple's pets. For example, the pet management unit may collect health data of the pets and manage schedules for regular health checks and vaccinations. The pet management unit may also suggest dietary and exercise plans for the pets. Furthermore, the pet management unit may suggest activities and travel destinations that can be enjoyed together with the pets, helping to deepen the bond between the couple and their pets.

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

[0057] Step 1: The compatibility assessment unit determines the compatibility of the couple, for example, based on personality assessment, past behavioral history, and common hobbies. Step 2: The message support unit supports message exchanges based on the compatibility determined by the compatibility determination unit, for example, by providing templates, suggesting the timing of replies, and suggesting appropriate topics. Step 3: The reservation support unit supports planning a date or making a restaurant reservation based on the content of the message supported by the message support unit. For example, it suggests date spots, adjusts the schedule, and presents available time slots for reservations. Step 4: The purchase support department assists with purchasing a gift based on the reservation details supported by the reservation support department. For example, it suggests gifts, supports the purchase procedure, and suggests gifts according to the customer's budget.

[0058] (Example 2) The matching app system according to an embodiment of the present invention utilizes generative AI and continues to be used even after couples are formed. This system provides compatibility assessments, message support, reservation support, purchasing support, and recommendations for marriage, childbirth, divorce, and LGBTQ-friendly services after couples are formed. This allows the matching app system to continue to be used even after couples are formed, and to provide a variety of support.

[0059] A matching app system according to an embodiment includes a compatibility assessment unit, a message support unit, a reservation support unit, and a purchase support unit. The compatibility assessment unit assesses the compatibility of a couple. For example, the compatibility assessment unit assesses compatibility based on a personality diagnosis. The compatibility assessment unit can also assess compatibility based on past behavioral histories. The compatibility assessment unit can also assess compatibility based on shared hobbies. The message support unit supports message exchanges based on the compatibility assessed by the compatibility assessment unit. For example, the message support unit supports message exchanges by providing templates. The message support unit can also support message exchanges by suggesting reply timing. The message support unit can also support message exchanges by suggesting appropriate topics. The reservation support unit supports date planning or restaurant reservations based on the content of messages supported by the message support unit. For example, the reservation support unit supports date planning by suggesting date spots. The reservation support unit can also support date planning by adjusting schedules. The reservation support unit can also support restaurant reservations by presenting available time slots. The purchase support unit supports the purchase of a present based on the reservation details supported by the reservation support unit. For example, the purchase support unit supports the purchase by suggesting a present. The purchase support unit can also support the purchase of a present by supporting the purchase procedure. The purchase support unit can also support the purchase by suggesting a present according to a budget. In this way, the matching app system according to the embodiment can provide an app that is continuously used even after a couple is formed.

[0060] The compatibility assessment unit can analyze message history, automatically remind couples of specific events or anniversaries, and suggest surprises. For example, the compatibility assessment unit uses a generation AI to analyze a couple's past message history and identify important events or anniversaries. For example, it can automatically remind couples of their first date or the date they started dating, and suggest surprise ideas. This allows the unit to remind couples of important events and anniversaries without forgetting them, and suggest surprises.

[0061] The message support unit can automatically generate and suggest weekly date plans based on hobbies or interests. For example, the generation AI extracts common hobbies and interests from a couple's profiles and past messages, and automatically generates weekly date plans based on that. For example, it can suggest plans such as going to the movies or watching sports. This makes it possible to suggest date plans based on the couple's common hobbies and interests.

[0062] The reservation support unit can use the emotion estimation function to monitor the emotional state in real time and suggest activities that can help relax when stress levels rise. For example, the reservation support unit can use the emotion estimation function to monitor the emotional state of a couple in real time and suggest activities that can help relax when stress levels rise. For example, the reservation support unit can suggest yoga or meditation sessions. This makes it possible to suggest activities that can help relax based on the emotional state of the couple.

[0063] The purchasing support department can analyze the health data and suggest healthy date plans. For example, the generating AI analyzes the data from the couple's fitness trackers and suggests healthy date plans. For example, it suggests activities such as hiking or cycling. This makes it possible to suggest healthy date plans based on the couple's health data.

[0064] The message support unit can support planning of group dates and events by taking into account relationships with friends or family. For example, the generative AI can support planning of group dates and events by taking into account relationships with friends and family of the couple. For example, the generative AI can suggest a barbecue party or picnic with friends and family. This can support planning of group dates and events by taking into account relationships with friends and family of the couple.

[0065] The reservation support unit uses the emotion estimation function to automatically generate a music playlist according to the couple's emotional state, thereby creating a lively atmosphere during the date. The reservation support unit, for example, uses the emotion estimation function to automatically generate a music playlist according to the couple's emotional state. For example, it suggests calm music when the couple wants to relax and upbeat music when the couple wants to have fun. This makes it possible to provide a music playlist that creates a lively atmosphere during the date according to the couple's emotional state.

[0066] The compatibility assessment unit can analyze health data and suggest healthy date plans. For example, the compatibility assessment unit uses a generative AI to analyze data from a couple's fitness trackers and suggest healthy date plans. For example, it suggests activities such as hiking or cycling. This makes it possible to suggest healthy date plans based on the couple's health data.

[0067] The message support unit can support planning of group dates and events by taking into account relationships with friends or family. For example, the generative AI can support planning of group dates and events by taking into account relationships with friends and family of the couple. For example, the generative AI can suggest a barbecue party or picnic with friends and family. This can support planning of group dates and events by taking into account relationships with friends and family of the couple.

[0068] The reservation support unit uses the emotion estimation function to automatically generate a music playlist according to the couple's emotional state, thereby creating a lively atmosphere during the date. The reservation support unit, for example, uses the emotion estimation function to automatically generate a music playlist according to the couple's emotional state. For example, it suggests calm music when the couple wants to relax and upbeat music when the couple wants to have fun. This makes it possible to provide a music playlist that creates a lively atmosphere during the date according to the couple's emotional state.

[0069] The compatibility assessment unit can analyze health data and suggest healthy date plans. For example, the compatibility assessment unit uses a generative AI to analyze data from a couple's fitness trackers and suggest healthy date plans. For example, it suggests activities such as hiking or cycling. This makes it possible to suggest healthy date plans based on the couple's health data.

[0070] The message support unit can support planning of group dates and events by taking into account relationships with friends or family. For example, the generative AI can support planning of group dates and events by taking into account relationships with friends and family of the couple. For example, the generative AI can suggest a barbecue party or picnic with friends and family. This can support planning of group dates and events by taking into account relationships with friends and family of the couple.

[0071] The reservation support unit uses the emotion estimation function to automatically generate a music playlist according to the couple's emotional state, thereby creating a lively atmosphere during the date. The reservation support unit, for example, uses the emotion estimation function to automatically generate a music playlist according to the couple's emotional state. For example, it suggests calm music when the couple wants to relax and upbeat music when the couple wants to have fun. This makes it possible to provide a music playlist that creates a lively atmosphere during the date according to the couple's emotional state.

[0072] The compatibility assessment unit can analyze health data and suggest healthy date plans. For example, the compatibility assessment unit uses a generative AI to analyze data from a couple's fitness trackers and suggest healthy date plans. For example, it suggests activities such as hiking or cycling. This makes it possible to suggest healthy date plans based on the couple's health data.

[0073] The message support unit can support planning of group dates and events by taking into account relationships with friends or family. For example, the generative AI can support planning of group dates and events by taking into account relationships with friends and family of the couple. For example, the generative AI can suggest a barbecue party or picnic with friends and family. This can support planning of group dates and events by taking into account relationships with friends and family of the couple.

[0074] The reservation support unit uses the emotion estimation function to automatically generate a music playlist according to the couple's emotional state, thereby creating a lively atmosphere during the date. The reservation support unit, for example, uses the emotion estimation function to automatically generate a music playlist according to the couple's emotional state. For example, it suggests calm music when the couple wants to relax and upbeat music when the couple wants to have fun. This makes it possible to provide a music playlist that creates a lively atmosphere during the date according to the couple's emotional state.

[0075] The compatibility assessment unit can analyze health data and suggest healthy date plans. For example, the compatibility assessment unit uses a generative AI to analyze data from a couple's fitness trackers and suggest healthy date plans. For example, it suggests activities such as hiking or cycling. This makes it possible to suggest healthy date plans based on the couple's health data.

[0076] The message support unit can support planning of group dates and events by taking into account relationships with friends or family. For example, the generative AI can support planning of group dates and events by taking into account relationships with friends and family of the couple. For example, the generative AI can suggest a barbecue party or picnic with friends and family. This can support planning of group dates and events by taking into account relationships with friends and family of the couple.

[0077] The reservation support unit uses the emotion estimation function to automatically generate a music playlist according to the couple's emotional state, thereby creating a lively atmosphere during the date. The reservation support unit, for example, uses the emotion estimation function to automatically generate a music playlist according to the couple's emotional state. For example, it suggests calm music when the couple wants to relax and upbeat music when the couple wants to have fun. This makes it possible to provide a music playlist that creates a lively atmosphere during the date according to the couple's emotional state.

[0078] The compatibility assessment unit can analyze health data and suggest healthy date plans. For example, the compatibility assessment unit uses a generative AI to analyze data from a couple's fitness trackers and suggest healthy date plans. For example, it suggests activities such as hiking or cycling. This makes it possible to suggest healthy date plans based on the couple's health data.

[0079] The message support unit can support planning of group dates and events by taking into account relationships with friends or family. For example, the generative AI can support planning of group dates and events by taking into account relationships with friends and family of the couple. For example, the generative AI can suggest a barbecue party or picnic with friends and family. This can support planning of group dates and events by taking into account relationships with friends and family of the couple.

[0080] The reservation support unit uses the emotion estimation function to automatically generate a music playlist according to the couple's emotional state, thereby creating a lively atmosphere during the date. The reservation support unit, for example, uses the emotion estimation function to automatically generate a music playlist according to the couple's emotional state. For example, it suggests calm music when the couple wants to relax and upbeat music when the couple wants to have fun. This makes it possible to provide a music playlist that creates a lively atmosphere during the date according to the couple's emotional state.

[0081] The compatibility assessment unit can analyze health data and suggest healthy date plans. For example, the compatibility assessment unit uses a generative AI to analyze data from a couple's fitness trackers and suggest healthy date plans. For example, it suggests activities such as hiking or cycling. This makes it possible to suggest healthy date plans based on the couple's health data.

[0082] The message support unit can support planning of group dates and events by taking into account relationships with friends or family. For example, the generative AI can support planning of group dates and events by taking into account relationships with friends and family of the couple. For example, the generative AI can suggest a barbecue party or picnic with friends and family. This can support planning of group dates and events by taking into account relationships with friends and family of the couple.

[0083] The reservation support unit uses the emotion estimation function to automatically generate a music playlist according to the couple's emotional state, thereby creating a lively atmosphere during the date. The reservation support unit, for example, uses the emotion estimation function to automatically generate a music playlist according to the couple's emotional state. For example, it suggests calm music when the couple wants to relax and upbeat music when the couple wants to have fun. This makes it possible to provide a music playlist that creates a lively atmosphere during the date according to the couple's emotional state.

[0084] The compatibility assessment unit can analyze health data and suggest healthy date plans. For example, the compatibility assessment unit uses a generative AI to analyze data from a couple's fitness trackers and suggest healthy date plans. For example, it suggests activities such as hiking or cycling. This makes it possible to suggest healthy date plans based on the couple's health data.

[0085] The message support unit can support planning of group dates and events by taking into account relationships with friends or family. For example, the generative AI can support planning of group dates and events by taking into account relationships with friends and family of the couple. For example, the generative AI can suggest a barbecue party or picnic with friends and family. This can support planning of group dates and events by taking into account relationships with friends and family of the couple.

[0086] The reservation support unit uses the emotion estimation function to automatically generate a music playlist according to the couple's emotional state, thereby creating a lively atmosphere during the date. The reservation support unit, for example, uses the emotion estimation function to automatically generate a music playlist according to the couple's emotional state. For example, it suggests calm music when the couple wants to relax and upbeat music when the couple wants to have fun. This makes it possible to provide a music playlist that creates a lively atmosphere during the date according to the couple's emotional state.

[0087] The compatibility assessment unit can analyze health data and suggest healthy date plans. For example, the compatibility assessment unit uses a generative AI to analyze data from a couple's fitness trackers and suggest healthy date plans. For example, it suggests activities such as hiking or cycling. This makes it possible to suggest healthy date plans based on the couple's health data.

[0088] The message support unit can support planning of group dates and events by taking into account relationships with friends or family. For example, the generative AI can support planning of group dates and events by taking into account relationships with friends and family of the couple. For example, the generative AI can suggest a barbecue party or picnic with friends and family. This can support planning of group dates and events by taking into account relationships with friends and family of the couple.

[0089] The reservation support unit uses the emotion estimation function to automatically generate a music playlist according to the couple's emotional state, thereby creating a lively atmosphere during the date. The reservation support unit, for example, uses the emotion estimation function to automatically generate a music playlist according to the couple's emotional state. For example, it suggests calm music when the couple wants to relax and upbeat music when the couple wants to have fun. This makes it possible to provide a music playlist that creates a lively atmosphere during the date according to the couple's emotional state.

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

[0091] The matching app system can further include a travel support unit that supports couples in planning their trips. The travel support unit suggests optimal travel destinations and activities based on the couple's past travel history and interests. For example, the travel support unit may analyze the places the couple has visited in the past and their favorite activities, and suggest new travel destinations based on that. The travel support unit can also create travel plans that suit the couple's budget and schedule. Furthermore, the travel support unit can suggest recommended local spots and restaurants to maximize the enjoyment of the trip.

[0092] The matching app system can further include a health management unit that supports the couple's health management. The health management unit collects the couple's health data and monitors their health status. For example, the health management unit obtains data from the couple's fitness trackers or smartwatches and analyzes their daily exercise volume and sleep status. The health management unit can also suggest exercise plans and meal plans based on the couple's health goals. Furthermore, the health management unit can support regular health checks and medical appointments to help the couple maintain their health.

[0093] The matching app system can further include a hobby support unit that supports couples' hobby activities. The hobby support unit helps couples find common hobbies or new hobbies. For example, the hobby support unit analyzes the couple's past activity history and interests and suggests new hobbies. The hobby support unit can also suggest workshops and events that couples can enjoy together. Furthermore, the hobby support unit provides couples with opportunities to make new friends through their hobbies, thereby expanding their social connections.

[0094] The matching app system may further include a financial management unit that supports the couple's financial management. The financial management unit manages the couple's income and expenses and helps them make financial plans. For example, the financial management unit may collect the couple's income and expenses data and create a monthly budget. The financial management unit may also suggest a savings plan according to the couple's savings goals. Furthermore, the financial management unit may help the couple make plans to prepare for future large expenses (for example, a wedding or buying a house).

[0095] The matching app system may further include a pet management unit that supports the couple in managing their pets. The pet management unit manages the health status and schedule of the couple's pets. For example, the pet management unit may collect health data of the pets and manage schedules for regular health checks and vaccinations. The pet management unit may also suggest dietary and exercise plans for the pets. Furthermore, the pet management unit may suggest activities and travel destinations that can be enjoyed together with the pets, helping to deepen the bond between the couple and their pets.

[0096] The matching app system may further include an emotional relaxation unit that monitors the emotional state of the couple and suggests relaxation methods based on the emotions. The emotional relaxation unit monitors the emotional state of the couple in real time and suggests relaxation methods when stress or anxiety increases. For example, the emotional relaxation unit may suggest meditation or deep breathing exercises. The emotional relaxation unit may also provide relaxing music or sounds of nature. Furthermore, the emotional relaxation unit may suggest activities (e.g., spa or massage) that the couple can use to relax together.

[0097] The matching app system may further include an emotion communication unit that analyzes the emotional state of the couple and suggests a communication method based on the emotion. The emotion communication unit analyzes the emotional state of the couple and suggests an appropriate communication method. For example, when the couple is feeling stressed, the emotion communication unit may suggest a conversation in a relaxed atmosphere. Also, when the couple is feeling happy, the emotion communication unit may suggest a way to show empathy. Furthermore, the emotion communication unit may provide tools (e.g., emotion diaries or emotion cards) that make it easier for the couple to share their emotions.

[0098] The matching app system can further include an emotional date planning unit that proposes a date plan according to the couple's emotional state. The emotional date planning unit analyzes the couple's emotional state and proposes an optimal date plan. For example, the emotional date planning unit can propose a relaxing date plan (such as watching a movie or relaxing at a cafe) when the couple is tired. The emotional date planning unit can also propose an active date plan (such as sports or outdoor activities) when the couple is energetic. Furthermore, the emotional date planning unit can propose a romantic date plan (such as dinner at a high-end restaurant or a date at a place with a night view) when the couple is celebrating a special occasion.

[0099] The matching app system can further include an emotional gift unit that suggests a gift according to the couple's emotional state based on the couple's emotional state. The emotional gift unit analyzes the couple's emotional state and suggests the most suitable gift. For example, the emotional gift unit can suggest a gift that will help the couple relax (e.g., an aroma candle or a massager) when the couple is feeling stressed. The emotional gift unit can also suggest a gift that shows empathy (e.g., a handmade album or a thank-you letter) when the couple is feeling happy. Furthermore, the emotional gift unit can suggest a commemorative gift (e.g., jewelry or a special experience gift) when the couple is celebrating a special day.

[0100] The matching app system may further include an emotion message unit that provides a message template according to the emotion of the couple based on the couple's emotional state. The emotion message unit analyzes the couple's emotional state and provides an appropriate message template. For example, the emotion message unit may provide an encouraging message template when the couple is feeling stressed. The emotion message unit may also provide a congratulatory message template when the couple is feeling happy. The emotion message unit may also provide a thank you message template when the couple wants to express their gratitude.

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

[0102] Step 1: The compatibility assessment unit determines the compatibility of the couple, for example, based on personality assessment, past behavioral history, and common hobbies. Step 2: The message support unit supports message exchanges based on the compatibility determined by the compatibility determination unit, for example, by providing templates, suggesting the timing of replies, and suggesting appropriate topics. Step 3: The reservation support unit supports planning a date or making a restaurant reservation based on the content of the message supported by the message support unit. For example, it suggests date spots, adjusts the schedule, and presents available time slots for reservations. Step 4: The purchase support department assists with purchasing a gift based on the reservation details supported by the reservation support department. For example, it suggests gifts, supports the purchase procedure, and suggests gifts according to the customer's budget.

[0103] The specific processing unit 290 transmits the result of the specific processing to the smart device 14. In the smart device 14, the control unit 46A causes the output device 40 to output the result of the specific processing. The microphone 38B acquires audio indicating a user input regarding the result of the specific processing. The control unit 46A transmits audio data indicating the user input acquired by the microphone 38B to the data processing device 12. In the data processing device 12, the specific processing unit 290 acquires the audio data.

[0104] The data generation model 58 is a so-called generative AI (Artificial Intelligence). An example of the data generation model 58 is ChatGPT (Internet Search<URL: https: / / openai.com / blog / chatgpt> Examples of generative AIs include the data generation model 58, such as a neural network model (e.g., a neural network model), and a neural network model (e.g., a neural network model). The data generation model 58 is obtained by performing deep learning on a neural network. A prompt including an instruction is input to the data generation model 58, and inference data such as voice data indicating speech, text data indicating text, and image data indicating an image is also input to the data generation model 58. The data generation model 58 performs inference on the input inference data in accordance with the instruction indicated by the prompt and outputs the inference result in a data format such as voice data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization. The specification processing unit 290 performs the above-mentioned specification processing using the data generation model 58. The data generation model 58 may be a fine-tuned model so as to output an inference result from a prompt that does not include an instruction. In this case, the data generation model 58 can output an inference result from a prompt that does not include an instruction. The data processing device 12 and the like include multiple types of data generation models 58, and the data generation model 58 includes AIs other than the generative AI. The AI ​​other than the generative AI may be, for example, linear regression, logistic regression, decision tree, random forest, support vector machine (SVM), k-means clustering, convolutional neural network (CNN), recurrent neural network (RNN), generative adversarial network (GAN), or naive Bayes, and can perform various processes, but is not limited to these examples. The AI ​​may also be an AI agent. When the processes of each of the above-mentioned parts are performed by AI, the processes may be performed in part or entirely by AI, but are not limited to these examples. The processes performed by AI, including the generative AI, may be replaced with rule-based processes.

[0105] Furthermore, the processing by the data processing system 10 described above is executed by the specific processing unit 290 of the data processing device 12 or the control unit 46A of the smart device 14, but may also be executed by the specific processing unit 290 of the data processing device 12 and the control unit 46A of the smart device 14. Furthermore, the specific processing unit 290 of the data processing device 12 acquires or collects information necessary for processing from the smart device 14 or an external device, and the smart device 14 acquires or collects information necessary for processing from the data processing device 12 or an external device.

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

[0107] 3, the data processing system 210 includes the data processing device 12 and smart glasses 214. An example of the data processing device 12 is a server.

[0108] The data processing device 12 includes a computer 22, a database 24, and a communication I / F 26. The computer 22 includes a processor 28, a RAM 30, and a storage 32. The processor 28, RAM 30, and storage 32 are connected to a bus 34. The database 24 and the communication I / F 26 are also connected to the bus 34. The communication I / F 26 is connected to a network 54. Examples of the network 54 include a WAN and / or a LAN.

[0109] The smart glasses 214 include a computer 36, a microphone 238, a speaker 240, a camera 42, and a communication I / F 44. The computer 36 includes a processor 46, a RAM 48, and a storage 50. The processor 46, the RAM 48, and the storage 50 are connected to a bus 52. The microphone 238, the speaker 240, and the camera 42 are also connected to the bus 52.

[0110] The microphone 238 receives instructions and the like from the user by receiving voice uttered by the user. The microphone 238 captures the voice uttered by the user, converts the captured voice into audio data, and outputs it to the processor 46. The speaker 240 outputs audio according to instructions from the processor 46.

[0111] Camera 42 is a small digital camera equipped with an optical system including a lens, aperture, and shutter, and an imaging element such as a CMOS (Complementary Metal-Oxide-Semiconductor) image sensor or a CCD (Charge Coupled Device) image sensor, and captures images of the user's surroundings (for example, an imaging range defined by an angle of view equivalent to the field of vision of a typical healthy person).

[0112] The communication I / F 44 is connected to a network 54. The communication I / Fs 44 and 26 are responsible for the exchange of various information between the processor 46 and the processor 28 via the network 54. The exchange of various information between the processor 46 and the processor 28 using the communication I / Fs 44 and 26 is carried out in a secure state.

[0113] Fig. 4 shows an example of the main functions of the data processing device 12 and the smart glasses 214. As shown in Fig. 4, in the data processing device 12, a specific process is performed by the processor 28. A specific process program 56 is stored in the storage 32.

[0114] The processor 28 reads the specific processing program 56 from the storage 32 and executes the read specific processing program 56 on the RAM 30. The specific processing is realized by the processor 28 operating as a specific processing unit 290 in accordance with the specific processing program 56 executed on the RAM 30.

[0115] The storage 32 stores a data generation model 58 and an emotion identification model 59. The data generation model 58 and the emotion identification model 59 are used by the identification processing unit 290. The identification processing unit 290 can estimate the user's emotion using the emotion identification model 59 and perform identification processing using the user's emotion.

[0116] In the smart glasses 214, the specific processing is performed by the processor 46. A specific processing program 60 is stored in the storage 50. The processor 46 reads the specific processing program 60 from the storage 50 and executes the read specific processing program 60 on the RAM 48. The specific processing is realized by the processor 46 operating as the control unit 46A in accordance with the specific processing program 60 executed on the RAM 48. Note that the smart glasses 214 may have a data generation model and an emotion identification model similar to the data generation model 58 and the emotion identification model 59.

[0117] Note that a device other than the data processing device 12 may have the data generation model 58. For example, a server device may have the data generation model 58. In this case, the data processing device 12 communicates with the server device having the data generation model 58 to obtain a processing result (such as a prediction result) using the data generation model 58. Furthermore, the data processing device 12 may be a server device, or may be a terminal device (for example, a mobile phone, a robot, a home appliance, etc.) owned by a user.

[0118] The specific processing unit 290 transmits the result of the specific processing to the smart glasses 214. In the smart glasses 214, the control unit 46A causes the speaker 240 to output the result of the specific processing. The microphone 238 acquires audio indicating a user input regarding the result of the specific processing. The control unit 46A transmits audio data indicating the user input acquired by the microphone 238 to the data processing device 12. In the data processing device 12, the specific processing unit 290 acquires the audio data.

[0119] The data generation model 58 is a so-called generative AI. An example of the data generation model 58 is a generative AI such as ChatGPT. The data generation model 58 is obtained by performing deep learning on a neural network. The data generation model 58 receives a prompt containing an instruction, as well as inference data such as voice data representing speech, text data representing text, and image data representing an image. The data generation model 58 performs inference on the input inference data in accordance with the instruction indicated by the prompt and outputs the inference result in a data format such as voice data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization. The identification processing unit 290 performs the above-mentioned identification processing using the data generation model 58. The data generation model 58 may be a fine-tuned model so as to output an inference result from a prompt that does not include an instruction. In this case, the data generation model 58 can output an inference result from a prompt that does not include an instruction. The data processing device 12 and the like include multiple types of data generation models 58, and the data generation model 58 includes AIs other than the generative AI. The AI ​​other than the generative AI may be, for example, linear regression, logistic regression, decision tree, random forest, support vector machine (SVM), k-means clustering, convolutional neural network (CNN), recurrent neural network (RNN), generative adversarial network (GAN), or naive Bayes, and can perform various processes, but is not limited to these examples. The AI ​​may also be an AI agent. When the processes of each of the above-mentioned parts are performed by AI, the processes may be performed in part or entirely by AI, but are not limited to these examples. The processes performed by AI, including the generative AI, may be replaced with rule-based processes.

[0120] The data processing system 210 according to the second embodiment performs the same processing as the data processing system 10 according to the first embodiment. The processing by the data processing system 210 is executed by the specific processing unit 290 of the data processing device 12 or the control unit 46A of the smart glasses 214, but may also be executed by the specific processing unit 290 of the data processing device 12 and the control unit 46A of the smart glasses 214. Furthermore, the specific processing unit 290 of the data processing device 12 acquires or collects information required for processing from the smart glasses 214 or an external device, etc., and the smart glasses 214 acquires or collects information required for processing from the data processing device 12 or an external device, etc.

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

[0122] 5, the data processing system 310 includes the data processing device 12 and a headset type terminal 314. An example of the data processing device 12 is a server.

[0123] The data processing device 12 includes a computer 22, a database 24, and a communication I / F 26. The computer 22 includes a processor 28, a RAM 30, and a storage 32. The processor 28, RAM 30, and storage 32 are connected to a bus 34. The database 24 and the communication I / F 26 are also connected to the bus 34. The communication I / F 26 is connected to a network 54. Examples of the network 54 include a WAN and / or a LAN.

[0124] The headset type terminal 314 includes a computer 36, a microphone 238, a speaker 240, a camera 42, a communication I / F 44, and a display 343. The computer 36 includes a processor 46, a RAM 48, and a storage 50. The processor 46, the RAM 48, and the storage 50 are connected to a bus 52. The microphone 238, the speaker 240, the camera 42, and the display 343 are also connected to the bus 52.

[0125] The microphone 238 receives instructions and the like from the user by receiving voice uttered by the user. The microphone 238 captures the voice uttered by the user, converts the captured voice into audio data, and outputs it to the processor 46. The speaker 240 outputs audio according to instructions from the processor 46.

[0126] Camera 42 is a small digital camera equipped with an optical system including a lens, aperture, and shutter, and an imaging element such as a CMOS (Complementary Metal-Oxide-Semiconductor) image sensor or a CCD (Charge Coupled Device) image sensor, and captures images of the user's surroundings (for example, an imaging range defined by an angle of view equivalent to the field of vision of a typical healthy person).

[0127] The communication I / F 44 is connected to a network 54. The communication I / Fs 44 and 26 are responsible for the exchange of various information between the processor 46 and the processor 28 via the network 54. The exchange of various information between the processor 46 and the processor 28 using the communication I / Fs 44 and 26 is carried out in a secure state.

[0128] Fig. 6 shows an example of the main functions of the data processing device 12 and the headset type terminal 314. As shown in Fig. 6, in the data processing device 12, a specific process is performed by the processor 28. A specific process program 56 is stored in the storage 32.

[0129] The processor 28 reads the specific processing program 56 from the storage 32 and executes the read specific processing program 56 on the RAM 30. The specific processing is realized by the processor 28 operating as a specific processing unit 290 in accordance with the specific processing program 56 executed on the RAM 30.

[0130] The storage 32 stores a data generation model 58 and an emotion identification model 59. The data generation model 58 and the emotion identification model 59 are used by the identification processing unit 290. The identification processing unit 290 can estimate the user's emotion using the emotion identification model 59 and perform identification processing using the user's emotion.

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

[0132] Note that a device other than the data processing device 12 may have the data generation model 58. For example, a server device may have the data generation model 58. In this case, the data processing device 12 communicates with the server device having the data generation model 58 to obtain a processing result (such as a prediction result) using the data generation model 58. Furthermore, the data processing device 12 may be a server device, or may be a terminal device (for example, a mobile phone, a robot, a home appliance, etc.) owned by a user.

[0133] The specific processing unit 290 transmits the result of the specific processing to the headset type terminal 314. In the headset type terminal 314, the control unit 46A causes the speaker 240 and the display 343 to output the result of the specific processing. The microphone 238 acquires audio indicating a user input regarding the result of the specific processing. The control unit 46A transmits audio data indicating the user input acquired by the microphone 238 to the data processing device 12. In the data processing device 12, the specific processing unit 290 acquires the audio data.

[0134] The data generation model 58 is a so-called generative AI. An example of the data generation model 58 is a generative AI such as ChatGPT. The data generation model 58 is obtained by performing deep learning on a neural network. The data generation model 58 receives a prompt containing an instruction, as well as inference data such as voice data representing speech, text data representing text, and image data representing an image. The data generation model 58 performs inference on the input inference data in accordance with the instruction indicated by the prompt and outputs the inference result in a data format such as voice data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization. The identification processing unit 290 performs the above-mentioned identification processing using the data generation model 58. The data generation model 58 may be a fine-tuned model so as to output an inference result from a prompt that does not include an instruction. In this case, the data generation model 58 can output an inference result from a prompt that does not include an instruction. The data processing device 12 and the like include multiple types of data generation models 58, and the data generation model 58 includes AIs other than the generative AI. The AI ​​other than the generative AI may be, for example, linear regression, logistic regression, decision tree, random forest, support vector machine (SVM), k-means clustering, convolutional neural network (CNN), recurrent neural network (RNN), generative adversarial network (GAN), or naive Bayes, and can perform various processes, but is not limited to these examples. The AI ​​may also be an AI agent. When the processes of each of the above-mentioned parts are performed by AI, the processes may be performed in part or entirely by AI, but are not limited to these examples. The processes performed by AI, including the generative AI, may be replaced with rule-based processes.

[0135] The data processing system 310 according to the third embodiment performs the same processing as the data processing system 10 according to the first embodiment. The processing by the data processing system 310 is executed by the specific processing unit 290 of the data processing device 12 or the control unit 46A of the headset type terminal 314, but may also be executed by the specific processing unit 290 of the data processing device 12 and the control unit 46A of the headset type terminal 314. Furthermore, the specific processing unit 290 of the data processing device 12 acquires or collects information required for processing from the headset type terminal 314 or an external device, etc., and the headset type terminal 314 acquires or collects information required for processing from the data processing device 12 or an external device, etc.

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

[0137] 7, 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.

[0138] The data processing device 12 includes a computer 22, a database 24, and a communication I / F 26. The computer 22 includes a processor 28, a RAM 30, and a storage 32. The processor 28, RAM 30, and storage 32 are connected to a bus 34. The database 24 and the communication I / F 26 are also connected to the bus 34. The communication I / F 26 is connected to a network 54. Examples of the network 54 include a WAN and / or a LAN.

[0139] The robot 414 includes a computer 36, a microphone 238, a speaker 240, a camera 42, a communication I / F 44, and a control target 443. The computer 36 includes a processor 46, a RAM 48, and a storage 50. The processor 46, the RAM 48, and the storage 50 are connected to a bus 52. The microphone 238, the speaker 240, the camera 42, and the control target 443 are also connected to the bus 52.

[0140] The microphone 238 receives instructions and the like from the user by receiving voice uttered by the user. The microphone 238 captures the voice uttered by the user, converts the captured voice into audio data, and outputs it to the processor 46. The speaker 240 outputs audio according to instructions from the processor 46.

[0141] Camera 42 is a small digital camera equipped with an optical system including a lens, aperture, and shutter, and an imaging element such as a CMOS image sensor or a CCD image sensor, and captures images of the user's surroundings (for example, an imaging range defined by an angle of view equivalent to the field of vision of a typical healthy person).

[0142] The communication I / F 44 is connected to a network 54. The communication I / Fs 44 and 26 are responsible for the exchange of various information between the processor 46 and the processor 28 via the network 54. The exchange of various information between the processor 46 and the processor 28 using the communication I / Fs 44 and 26 is carried out in a secure state.

[0143] The control object 443 includes a display device, LEDs in the eyes, and motors that drive the arms, hands, and feet. The posture and gestures of the robot 414 are controlled by controlling the motors of the arms, hands, and feet. Some of the emotions of the robot 414 can be expressed by controlling these motors. In addition, the facial expressions of the robot 414 can also be expressed by controlling the light emission state of the LEDs in the eyes of the robot 414.

[0144] Fig. 8 shows an example of the main functions of the data processing device 12 and the robot 414. As shown in Fig. 8, in the data processing device 12, a specific process is performed by the processor 28. A specific process program 56 is stored in the storage 32.

[0145] The processor 28 reads the specific processing program 56 from the storage 32 and executes the read specific processing program 56 on the RAM 30. The specific processing is realized by the processor 28 operating as a specific processing unit 290 in accordance with the specific processing program 56 executed on the RAM 30.

[0146] The storage 32 stores a data generation model 58 and an emotion identification model 59. The data generation model 58 and the emotion identification model 59 are used by the identification processing unit 290. The identification processing unit 290 can estimate the user's emotion using the emotion identification model 59 and perform identification processing using the user's emotion.

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

[0148] Note that a device other than the data processing device 12 may have the data generation model 58. For example, a server device may have the data generation model 58. In this case, the data processing device 12 communicates with the server device having the data generation model 58 to obtain a processing result (such as a prediction result) using the data generation model 58. Furthermore, the data processing device 12 may be a server device, or may be a terminal device (for example, a mobile phone, a robot, a home appliance, etc.) owned by a user.

[0149] The specific processing unit 290 transmits the result of the specific processing to the robot 414. In the robot 414, the control unit 46A causes the speaker 240 and the control target 443 to output the result of the specific processing. The microphone 238 acquires voice indicating a user input regarding the result of the specific processing. The control unit 46A transmits voice data indicating the user input acquired by the microphone 238 to the data processing device 12. In the data processing device 12, the specific processing unit 290 acquires the voice data.

[0150] The data generation model 58 is a so-called generative AI. An example of the data generation model 58 is a generative AI such as ChatGPT. The data generation model 58 is obtained by performing deep learning on a neural network. The data generation model 58 receives a prompt containing an instruction, as well as inference data such as voice data representing speech, text data representing text, and image data representing an image. The data generation model 58 performs inference on the input inference data in accordance with the instruction indicated by the prompt and outputs the inference result in a data format such as voice data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization. The identification processing unit 290 performs the above-mentioned identification processing using the data generation model 58. The data generation model 58 may be a fine-tuned model so as to output an inference result from a prompt that does not include an instruction. In this case, the data generation model 58 can output an inference result from a prompt that does not include an instruction. The data processing device 12 and the like include multiple types of data generation models 58, and the data generation model 58 includes AIs other than the generative AI. The AI ​​other than the generative AI may be, for example, linear regression, logistic regression, decision tree, random forest, support vector machine (SVM), k-means clustering, convolutional neural network (CNN), recurrent neural network (RNN), generative adversarial network (GAN), or naive Bayes, and can perform various processes, but is not limited to these examples. The AI ​​may also be an AI agent. When the processes of each of the above-mentioned parts are performed by AI, the processes may be performed in part or entirely by AI, but are not limited to these examples. The processes performed by AI, including the generative AI, may be replaced with rule-based processes.

[0151] The data processing system 410 according to the fourth embodiment performs the same processing as the data processing system 10 according to the first embodiment. The processing by the data processing system 410 is executed by the specific processing unit 290 of the data processing device 12 or the control unit 46A of the robot 414, but may also be executed by the specific processing unit 290 of the data processing device 12 and the control unit 46A of the robot 414. Furthermore, the specific processing unit 290 of the data processing device 12 acquires or collects information required for processing from the robot 414 or an external device, etc., and the robot 414 acquires or collects information required for processing from the data processing device 12 or an external device, etc.

[0152] The emotion identification model 59 as an emotion engine may determine the user's emotion according to a specific mapping. Specifically, the emotion identification model 59 may determine the user's emotion according to an emotion map (see FIG. 9), which is a specific mapping. Similarly, the emotion identification model 59 may determine the robot's emotion, and the identification processing unit 290 may perform identification processing using the robot's emotion.

[0153] FIG. 9 illustrates an emotion map 400 on which multiple emotions are mapped. In the emotion map 400, emotions are arranged in concentric circles radiating from the center. Emotions closer to the center of the concentric circles are more primitive. Emotions representing states and behaviors arising from a state of mind are arranged on the outer edges of the concentric circles. The concept of emotion encompasses both emotions and mental states. Emotions generally generated from reactions occurring in the brain are arranged on the left side of the concentric circles. Emotions generally induced by situational judgment are arranged on the right side of the concentric circles. Emotions generally generated from reactions occurring in the brain and induced by situational judgment are arranged on the upper and lower sides of the concentric circles. Furthermore, the emotion of "pleasure" is arranged on the upper side of the concentric circles, and the emotion of "discomfort" is arranged on the lower side. In this way, in the emotion map 400, multiple emotions are mapped based on the structure by which emotions are generated, and emotions that tend to occur simultaneously are mapped close to each other.

[0154] These emotions are distributed in the 3 o'clock direction on emotion map 400, and typically fluctuate between relief and anxiety. In the right half of emotion map 400, situational awareness dominates over internal sensations, resulting in a sense of calm.

[0155] The inside of emotion map 400 represents what is going on in the mind, and the outside of emotion map 400 represents behavior, so the further you go outside emotion map 400, the more visible the emotions become (the more they are expressed in behavior).

[0156] Human emotions are based on various balances, such as posture and blood sugar levels. When these balances deviate from the ideal, a state of discomfort is expressed, and when they approach the ideal, a state of pleasure is expressed. Emotions can also be created for robots, cars, and motorcycles, based on various balances, such as posture and remaining battery life. When these balances deviate from the ideal, a state of discomfort is expressed, and when they approach the ideal, a state of pleasure is expressed. An emotion map can be generated, for example, based on Dr. Mitsuyoshi's emotion map (Research on speech emotion recognition and brain physiological signal analysis systems for emotions, Tokushima University, doctoral dissertation: https: / / ci.nii.ac.jp / naid / 500000375379). The left half of the emotion map lists emotions belonging to the area called "reaction," where sensation is dominant. The right half of the emotion map lists emotions belonging to the area called "situation," where situational awareness is dominant.

[0157] The emotion map defines two emotions that promote learning. One is a negative emotion on the situation side, around the middle of "repentance" or "reflection." In other words, this occurs when the robot experiences negative emotions such as "I never want to feel this way again" or "I don't want to be scolded again." The other is a positive emotion on the response side, around "desire." In other words, this occurs when the robot experiences positive feelings such as "I want more" or "I want to know more."

[0158] The emotion identification model 59 inputs user input into a pre-trained neural network, obtains emotion values ​​indicating each emotion shown in the emotion map 400, and determines the user's emotion. This neural network is pre-trained based on multiple pieces of training data that are combinations of user input and emotion values ​​indicating each emotion shown in the emotion map 400. Furthermore, this neural network is trained so that emotions that are located close to each other have similar values, as in the emotion map 900 shown in FIG. 10. FIG. 10 shows an example in which multiple emotions, "relieved," "calm," and "reassuring," have similar emotion values.

[0159] In the above embodiment, an example was given in which a specific process is performed by one computer 22, but the technology disclosed herein is not limited to this, and distributed processing of the specific process may be performed by multiple computers including computer 22.

[0160] In the above embodiment, an example in which the specific processing program 56 is stored in the storage 32 has been described, but the technology of the present disclosure is not limited to this. For example, the specific processing program 56 may be stored in a portable, computer-readable, non-transitory storage medium such as a USB (Universal Serial Bus) memory. The specific processing program 56 stored in the non-transitory storage medium is installed in the computer 22 of the data processing device 12. The processor 28 executes the specific processing in accordance with the specific processing program 56.

[0161] Alternatively, the specific processing program 56 may be stored in a storage device such as a server connected to the data processing device 12 via the network 54, and the specific processing program 56 may be downloaded and installed on the computer 22 in response to a request from the data processing device 12.

[0162] It is not necessary to store all of the specific processing program 56 in a storage device such as a server connected to the data processing device 12 via the network 54, or to store all of the specific processing program 56 in the storage 32; only a portion of the specific processing program 56 may be stored.

[0163] The hardware resource for executing a specific process can be any of the following types of processors: A processor, for example, is a CPU, which is a general-purpose processor that functions as a hardware resource for executing a specific process by executing software, i.e., a program. A processor also includes a dedicated electrical circuit, such as an FPGA (Field-Programmable Gate Array), a PLD (Programmable Logic Device), or an ASIC (Application Specific Integrated Circuit), which is a processor with a circuit configuration designed specifically for executing a specific process. Each processor has built-in or connected memory, and each processor uses the memory to execute the specific process.

[0164] The hardware resource that executes the specific process may be configured with one of these various processors, or may be configured with a combination of two or more processors of the same or different types (for example, a combination of multiple FPGAs, or a combination of a CPU and an FPGA). Also, the hardware resource that executes the specific process may be a single processor.

[0165] As an example of a system configured with a single processor, first, one processor is configured by combining one or more CPUs and software, and this processor functions as a hardware resource that executes a specific process. Second, there is a system that uses a processor that realizes the functions of an entire system including multiple hardware resources that execute a specific process on a single IC chip, as typified by SoC (System-on-a-chip). In this way, a specific process is realized using one or more of the above-mentioned various processors as hardware resources.

[0166] Furthermore, the hardware structure of these various processors can be, more specifically, an electric circuit that combines circuit elements such as semiconductor devices. The specific processing described above is merely an example. Therefore, it goes without saying that unnecessary steps may be deleted, new steps may be added, or the processing order may be rearranged, without departing from the spirit of the invention.

[0167] In the above example, the first to fourth embodiments have been described separately, but some or all of these embodiments may be combined. The smart device 14, smart glasses 214, headset terminal 314, and robot 414 are merely examples, and they may be combined, or other devices may be used. In the above example, the first and second embodiments have been described separately, but they may be combined.

[0168] The above-described description and illustrations are a detailed explanation of the parts related to the technology of the present disclosure and are merely an example of the technology of the present disclosure. For example, the above description of the configuration, functions, actions, and effects is an explanation of an example of the configuration, functions, actions, and effects of the parts related to the technology of the present disclosure. Therefore, it goes without saying that unnecessary parts may be deleted, new elements may be added, or replacements may be made to the above-described description and illustrations within the scope of the gist of the technology of the present disclosure. Furthermore, to avoid confusion and facilitate understanding of the parts related to the technology of the present disclosure, the above-described description and illustrations omit explanations of common technical knowledge that do not require particular explanation to enable the implementation of the technology of the present disclosure.

[0169] All publications, patent applications, and technical standards mentioned in this specification are herein incorporated by reference to the same extent as if each individual publication, patent application, or technical standard was specifically and individually indicated to be incorporated by reference. [Explanation of symbols]

[0170] 10, 210, 310, 410 Data Processing Systems 12 Data Processing Device 14 Smart Devices 214 Smart Glasses 314 Headset-type terminal 414 Robot

Claims

1. a compatibility assessment unit that assesses the compatibility of couples; a message support unit that supports message exchange based on the compatibility determined by the compatibility determination unit; a reservation support unit that supports planning a date or making a restaurant reservation based on the content of the message supported by the message support unit; a purchase support unit that supports the purchase of a present based on the reservation details supported by the reservation support unit. A system characterized by:

2. The compatibility determination unit Analyzes message history to automatically remind you of specific events or anniversaries and suggest surprises 2. The system of claim 1.

3. The message support unit Automatically generate and suggest weekly date plans based on hobbies or interests 2. The system of claim 1.

4. The purchasing support department Analyze your health data and suggest healthy date plans 2. The system of claim 1.

5. The reservation support unit Monitors your emotional state in real time and suggests relaxing activities when stress levels rise 2. The system of claim 1.

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